Unsupervised Learning : Formulating Segmented Groups Using Clustering Algorithms
John Pauline Pineda
December 30, 2022
- 1.
Table of Contents
- 1.1 Sample Data
- 1.2 Data Quality Assessment
- 1.3 Data Preprocessing
- 1.4 Data Exploration
- 1.5 Clustering and Segmentation
- 1.5.1 Partitioning Method - K-Means (PM_KMEANS)
- 1.5.2 Partitioning Method - Partitioning Around Medoids (PM_PAM)
- 1.5.3 Partitioning Method - Fuzzy Analysis Clustering (PM_FANNY)
- 1.5.4 Hierarchical Method - Hierarchical Clustering (HM_HCLUST)
- 1.5.5 Hierarchical Method - Agglomerative Nesting (HM_AGNES)
- 1.5.6 Hierarchical Method - Divisive Analysis Clustering (HM_DIANA)
- 1.6 Consolidated Findings
- 2. Summary
- 3. References
1. Table of Contents
This project explores different clustering algorithms for segmenting information using various helpful packages in R. Methods applied in the analysis to cluster high dimensional data included the K-Means, Partitioning Around Medoids, Fuzzy Analysis Clustering, Hierarchical Clustering, Agglomerative Nesting and Divisive Analysis Clustering algorithms. The different clustering algorithms were subjectively evaluated based on their capability to effectively capture the latent characteristics between the different resulting clusters. In addition, the values for the average silhouette width obtained for each algorithm were also assessed for an objective comparison of their clustering performance. All results were consolidated in a Summary presented at the end of the document.
Clustering analysis is a form of unsupervised learning method aimed at identifying similar structural patterns in an unlabeled data set by segmenting the observations into clusters with shared characteristics as compared to those in other clusters. The algorithms applied in this study (mostly contained in the stats , factorextra and cluster packages) attempt to formulate partitioned segments from the data set through the hierarchical (either agglomeratively when smaller clusters are merged into the larger clusters or divisively when larger clusters are divided into smaller clusters) and non-hierarchical (when each observation is placed in exactly one of the mutually exclusive clusters) methods.
1.1 Sample Data
The NCI6 dataset from the ISLR package was used for this illustrated example. Only a subset of observations representing major cancer types was used for the analysis.
Preliminary dataset assessment:
[A] 40 rows (observations)
[B] 6831 columns (variables)
[B.1] 1/6831 label = labs variable (factor)
[B.1.1] Category 1 = labs=NSCLC
[B.1.2] Category 2 = labs=RENAL
[B.1.3] Category 3 = labs=MELANOMA
[B.1.4] Category 4 = labs=BREAST
[B.1.5] Category 5 = labs=COLON
[B.2] 6830/6831 descriptors = 6830/6830 numeric
Code Chunk | Output
##################################
# Loading R libraries
##################################
library(AppliedPredictiveModeling)
library(caret)
library(rpart)
library(lattice)
library(dplyr)
library(tidyr)
library(moments)
library(skimr)
library(RANN)
library(pls)
library(corrplot)
library(tidyverse)
library(lares)
library(DMwR2)
library(gridExtra)
library(rattle)
library(RColorBrewer)
library(stats)
library(ISLR)
library(factoextra)
library(NbClust)
library(cluster)
##################################
# Loading source and
# formulating the train set
##################################
data(NCI60)
NCI60 <- as.data.frame(NCI60)
##################################
# Filtering in the data subset for analysis
# and setting appropriate variable types
##################################
NCI60 <- NCI60[NCI60$labs %in% c("BREAST",
"RENAL",
"MELANOMA",
"NSCLC",
"COLON"),]
NCI60$labs <- as.factor(NCI60$labs)
NCI60$labs <- factor(NCI60$labs,
levels=c("BREAST",
"RENAL",
"MELANOMA",
"NSCLC",
"COLON"))
##################################
# Performing a general exploration of the data set
##################################
dim(NCI60)## [1] 40 6831str(NCI60)## 'data.frame': 40 obs. of 6831 variables:
## $ data.1 : num 0.28 0.485 -0.19 0.46 0.76 0.27 -0.45 -0.03 0.71 -0.36 ...
## $ data.2 : num -0.31 -0.465 -0.87 0 1.49 0.63 -0.06 -1.12 0 -1.42 ...
## $ data.3 : num 0.68 0.395 -0.45 1.15 0.28 -0.36 0.15 -0.05 0.16 -0.03 ...
## $ data.4 : num -0.81 0.905 0.08 -1.4 0.1 -1.04 -0.61 0 -0.77 -2.28 ...
## $ data.5 : num 0.625 0.2 0.005 -0.005 -0.525 0.015 -0.395 -0.285 0.045 0.135 ...
## $ data.6 : num -1.39e-17 -5.00e-03 3.50e-01 -7.00e-01 3.60e-01 ...
## $ data.7 : num 0.17 0.085 -0.04 -0.92 0.6 0.58 0.94 0.16 0.32 -0.04 ...
## $ data.8 : num 0.245 0.11 -0.265 -0.515 0.175 0.425 -0.155 0.085 -0.025 0.035 ...
## $ data.9 : num 0.02 0.235 -0.31 -0.28 0.58 0.99 0.29 0.14 0.4 -0.59 ...
## $ data.10 : num 0.095 1.49 -0.245 -0.115 1.145 ...
## $ data.11 : num -0.01 0.685 -0.91 -0.17 1.75 0.57 0.95 -0.11 0.23 0.92 ...
## $ data.12 : num -0.12 0.605 -1.23 -0.4 1.71 0.77 0.79 -0.11 -0.1 0.72 ...
## $ data.13 : num -0.21 0.355 -0.52 -0.52 0.51 -0.27 0.2 0.15 0.39 -0.53 ...
## $ data.14 : num 0 1.22 -0.265 -0.235 0.665 ...
## $ data.15 : num 0.61 2.42 -0.48 2.21 -0.1 ...
## $ data.16 : num -1.02 0 -1.4 -2.44 -0.24 7.26 -0.53 3.49 5.59 1.9 ...
## $ data.17 : num -0.47 -0.315 -0.19 0.26 -0.69 3.45 -0.97 1.11 1.86 0.21 ...
## $ data.18 : num 0 0.31 0.125 0.155 -0.115 -0.025 0.105 0.025 0.435 0.225 ...
## $ data.19 : num -0.765 -0.52 -0.515 0.135 0.235 ...
## $ data.20 : num 0 -0.075 -0.84 -0.91 0.89 ...
## $ data.21 : num -0.31 -0.865 -0.72 -0.13 0.3 -0.17 -0.48 -0.01 0.36 -0.38 ...
## $ data.22 : num -0.62 -0.455 -0.32 -0.4 0.08 0.52 0.08 0.11 0.22 -0.13 ...
## $ data.23 : num -0.285 -0.5 -0.595 -0.295 0.125 ...
## $ data.24 : num -0.54 -0.245 -0.34 0.16 0.32 0.26 0.23 0.05 0.38 0.07 ...
## $ data.25 : num -0.52 -0.235 -0.82 -0.23 1.28 -0.48 -0.38 0.25 0.18 0.52 ...
## $ data.26 : num -0.135 -0.33 0 -0.315 0.895 -0.035 0.255 -0.065 0.375 0.045 ...
## $ data.27 : num -0.89 0 -1.18 0.51 1.35 -0.3 -0.39 -0.13 0.52 -0.46 ...
## $ data.28 : num -0.27 0.015 -0.33 0.2 0.42 ...
## $ data.29 : num -0.84 -0.105 -0.69 -0.19 0.37 -0.35 -0.55 -0.22 -0.14 -0.3 ...
## $ data.30 : num -0.23 -0.225 -1.67 0.09 0.45 0.29 -0.9 -0.69 0 -0.62 ...
## $ data.31 : num 0.32 -0.105 1.3 -0.85 -0.25 0.53 0.69 -0.01 0.98 0.96 ...
## $ data.32 : num 0 -0.275 0 -0.78 -0.01 0.71 -0.76 -0.2 -0.09 -0.42 ...
## $ data.33 : num 0.11 -0.575 -0.43 -1.05 -0.27 ...
## $ data.34 : num 0.455 -0.45 -0.685 0.005 -0.455 0.095 -0.915 -0.105 0.645 -0.555 ...
## $ data.35 : num -0.34 -0.465 -1.55 -1.06 0.61 0.01 -0.39 -0.06 0.23 0.53 ...
## $ data.36 : num -0.895 -0.39 -0.955 -0.425 0.615 -0.235 -0.275 0.015 0.255 0.635 ...
## $ data.37 : num -1.08 -0.995 -0.74 -0.76 0.41 -0.47 -0.18 -0.34 -0.68 -0.05 ...
## $ data.38 : num -0.43 -0.355 -0.2 -0.27 0.2 0.57 0.35 0.25 0.1 -0.26 ...
## $ data.39 : num -0.03 0 -0.58 -0.96 0.13 0.67 0.12 0.47 0.66 -0.36 ...
## $ data.40 : num -0.13 -0.475 0.01 -1.26 0.7 -0.19 -0.19 0.43 0.47 -0.08 ...
## $ data.41 : num -0.54 -0.385 -0.44 -1.05 -0.12 ...
## $ data.42 : num -1.225 -0.77 -0.055 -0.835 -0.135 ...
## $ data.43 : num -1.265 -0.96 -0.565 -1.705 -0.235 ...
## $ data.44 : num -1.415 -0.97 -0.795 -1.195 0.475 ...
## $ data.45 : num -0.27 -0.895 -0.8 -1.24 0.04 0.05 -0.14 0.02 0.61 0.4 ...
## $ data.46 : num -0.705 -0.63 -0.345 -1.065 -0.295 ...
## $ data.47 : num -0.22 -0.535 -0.37 0.04 1.05 0.03 0.61 0.31 -0.04 0.15 ...
## $ data.48 : num -0.5025 -0.8875 -0.2725 -0.0225 1.1275 ...
## $ data.49 : num -0.04 -0.945 -0.71 -0.48 0.74 0.97 0.66 0.21 0.26 0.41 ...
## $ data.50 : num -0.15 -0.535 -0.21 -0.46 -0.26 0.03 0.59 -0.31 0.4 0.97 ...
## $ data.51 : num -0.16 0.005 -0.32 0.22 -0.09 ...
## $ data.52 : num -0.29 0.185 -0.3 0.46 0.15 0.33 0.03 -0.7 0 1.11 ...
## $ data.53 : num -0.18 -0.105 -0.92 0.56 -0.09 -0.15 0.26 1.09 0.14 1.18 ...
## $ data.54 : num -0.665 -0.34 -0.115 0.335 -0.265 0.105 0.545 0.345 0.055 0.135 ...
## $ data.55 : num -0.775 -0.2 0.015 0.355 0.155 ...
## $ data.56 : num 0.21 -0.665 0.13 0.39 -0.23 0.32 0.37 -0.05 0.22 -0.07 ...
## $ data.57 : num -0.77 -0.225 0.13 0.18 0.25 0.2 0.22 -0.42 0.66 0.04 ...
## $ data.58 : num -0.605 -0.41 0.475 -0.055 0.095 0.155 -0.085 0.265 -0.225 -0.345 ...
## $ data.59 : num -0.19 -0.215 -0.57 -0.11 0.36 0.62 -0.06 0.02 1.16 0.98 ...
## $ data.60 : num 0.17 -0.175 -0.07 0.46 -0.08 0.03 0.08 0 0.53 0.06 ...
## $ data.61 : num -0.21 -0.785 -0.39 0.46 -0.13 ...
## $ data.62 : num -0.615 -0.33 -0.185 -0.005 0.205 0.185 0.125 0.245 0.075 0.005 ...
## $ data.63 : num 0.165 -0.39 -1.055 0.445 0.985 ...
## $ data.64 : num -0.19 -0.075 0.15 -0.52 0.42 0 0.69 0.39 0.59 0 ...
## $ data.65 : num 0 -0.205 -0.19 -0.34 0.32 ...
## $ data.66 : num -0.06 -0.325 0.84 -0.01 0.25 0.69 -0.34 0 -0.72 -0.2 ...
## $ data.67 : num -0.01 -0.485 0.84 -0.55 0.19 0.26 0.16 0.08 0.06 -0.66 ...
## $ data.68 : num -0.505 -0.35 0.735 0.175 0.215 ...
## $ data.69 : num -0.775 -0.23 0.185 -0.415 0.045 ...
## $ data.70 : num -0.29 -0.155 0.21 -0.18 -0.2 0.26 0.06 0.45 -0.44 -0.57 ...
## $ data.71 : num -0.71 -0.575 -0.48 0.05 -0.31 -0.14 -0.57 0.01 0.06 -0.67 ...
## $ data.72 : num -4.50e-01 -6.15e-01 -2.80e-01 3.44e-18 0.00 ...
## $ data.73 : num -0.61 -0.695 0.12 0 -0.41 0.34 -0.06 -0.24 -0.1 -0.78 ...
## $ data.74 : num -0.80996 -0.63496 0.10004 -0.24996 -0.00996 ...
## $ data.75 : num -1.54 -1.09 -0.39 0.36 0.19 ...
## $ data.76 : num -1.035 -1 -0.715 0.195 0.095 ...
## $ data.77 : num 0 -0.335 0.14 -0.3 0 0.38 0 0.35 -0.19 0.01 ...
## $ data.78 : num 3.6 -1.38 -0.82 -0.77 1.94 ...
## $ data.79 : num 0 0.345 -0.47 -0.37 0.14 -0.14 0.15 -0.01 0 -0.13 ...
## $ data.80 : num 0.85 0.815 -1.64 -0.34 -0.18 -1.46 -0.5 -0.28 -0.04 0.2 ...
## $ data.81 : num -0.195 0.56 0 -0.455 -0.585 ...
## $ data.82 : num -1.21 -0.155 0 -0.82 -0.42 0.41 0.25 1.4 -0.2 1.01 ...
## $ data.83 : num 1.02 0 0 0 -0.38 0.29 -0.84 -0.21 0.47 0 ...
## $ data.84 : num 0.66 -1.2 -0.4 -0.7 -1.52 ...
## $ data.85 : num 0.775 -0.16 -0.335 0.145 -0.745 ...
## $ data.86 : num -0.28 -0.105 0.11 0.02 -0.56 ...
## $ data.87 : num -0.245 0 -0.125 -0.155 -0.285 ...
## $ data.88 : num -0.5025 -0.0075 0.0675 -0.1825 -0.2025 ...
## $ data.89 : num -0.8 -0.945 -0.77 0.74 -0.05 0.47 -0.35 0.47 -0.36 0.79 ...
## $ data.90 : num -0.75 -0.965 -0.65 0.52 0.35 0.6 -0.47 0.63 -0.24 1 ...
## $ data.91 : num 0.06 -0.225 -0.43 0.05 0.03 0.95 -0.24 0.57 0.16 1.11 ...
## $ data.92 : num -1.075 -0.46 1.215 -0.105 0.755 ...
## $ data.93 : num 0.54 0.045 0.4 -0.54 0.8 -0.48 -0.02 -0.3 0.33 0.19 ...
## $ data.94 : num 0.16 0.795 -0.7 0 1.52 1.69 0.94 -0.26 0.92 0.34 ...
## $ data.95 : num 0 1.3 -1.79 0.53 2.11 ...
## $ data.96 : num 0.23 0.705 -1.13 0.21 0.91 1.39 0.33 -0.08 0.61 0.13 ...
## $ data.97 : num -0.74 0.055 -0.07 0 -0.25 -0.05 0.29 0.02 0.38 0.08 ...
## $ data.98 : num 0 0.715 0.53 0 -0.56 1.26 0.65 0.98 0.99 0.68 ...
## $ data.99 : num -2.5 0.925 0.21 1.36 -0.77 1.23 1.13 1.15 0.79 0 ...
## [list output truncated]summary(NCI60)## data.1 data.2 data.3 data.4
## Min. :-1.0600 Min. :-2.1900 Min. :-0.770000 Min. :-2.6100
## 1st Qu.:-0.3650 1st Qu.:-0.4900 1st Qu.:-0.207495 1st Qu.:-1.3475
## Median :-0.0300 Median : 0.0000 Median :-0.005000 Median :-0.6550
## Mean :-0.0505 Mean :-0.1425 Mean : 0.007123 Mean :-0.4514
## 3rd Qu.: 0.2725 3rd Qu.: 0.2350 3rd Qu.: 0.170000 3rd Qu.: 0.7325
## Max. : 0.7600 Max. : 2.2400 Max. : 1.150000 Max. : 1.5000
## data.5 data.6 data.7 data.8
## Min. :-0.71500 Min. :-0.700000 Min. :-0.92000 Min. :-0.6750
## 1st Qu.:-0.13250 1st Qu.:-0.156250 1st Qu.:-0.09751 1st Qu.:-0.1550
## Median : 0.03000 Median : 0.000000 Median : 0.00000 Median :-0.0050
## Mean : 0.07425 Mean : 0.005749 Mean : 0.02200 Mean :-0.0415
## 3rd Qu.: 0.21000 3rd Qu.: 0.157500 3rd Qu.: 0.18000 3rd Qu.: 0.1162
## Max. : 1.58500 Max. : 1.160000 Max. : 0.94000 Max. : 0.4750
## data.9 data.10 data.11 data.12
## Min. :-0.7300 Min. :-1.2600 Min. :-1.0700 Min. :-1.3000
## 1st Qu.:-0.3225 1st Qu.:-0.2375 1st Qu.:-0.2725 1st Qu.:-0.3775
## Median : 0.0250 Median : 0.2450 Median : 0.2350 Median : 0.1675
## Mean : 0.0475 Mean : 0.1630 Mean : 0.1495 Mean : 0.1675
## 3rd Qu.: 0.3300 3rd Qu.: 0.5850 3rd Qu.: 0.5750 3rd Qu.: 0.6550
## Max. : 0.9900 Max. : 1.4900 Max. : 1.7500 Max. : 1.7100
## data.13 data.14 data.15 data.16
## Min. :-1.2400 Min. :-0.574990 Min. :-1.3700 Min. :-2.480
## 1st Qu.:-0.3675 1st Qu.:-0.109990 1st Qu.:-0.4575 1st Qu.:-0.855
## Median :-0.0950 Median : 0.000000 Median : 0.0300 Median : 0.780
## Mean :-0.0790 Mean : 0.044505 Mean : 0.3282 Mean : 1.691
## 3rd Qu.: 0.2075 3rd Qu.: 0.001252 3rd Qu.: 0.8500 3rd Qu.: 4.334
## Max. : 0.6850 Max. : 1.714971 Max. : 3.2800 Max. : 8.180
## data.17 data.18 data.19 data.20
## Min. :-0.9700 Min. :-1.105000 Min. :-0.94498 Min. :-1.36999
## 1st Qu.:-0.3262 1st Qu.:-0.295015 1st Qu.:-0.47748 1st Qu.:-0.18999
## Median : 0.1600 Median : 0.060000 Median :-0.01498 Median : 0.00000
## Mean : 0.5857 Mean : 0.002374 Mean :-0.02086 Mean :-0.06312
## 3rd Qu.: 1.3862 3rd Qu.: 0.298735 3rd Qu.: 0.29502 3rd Qu.: 0.13751
## Max. : 3.4500 Max. : 2.135000 Max. : 1.39502 Max. : 0.89001
## data.21 data.22 data.23 data.24
## Min. :-1.500000 Min. :-0.620000 Min. :-0.59499 Min. :-0.5400
## 1st Qu.:-0.257500 1st Qu.:-0.162515 1st Qu.:-0.28499 1st Qu.:-0.2612
## Median :-0.030000 Median :-0.014990 Median :-0.12998 Median : 0.0200
## Mean :-0.008752 Mean :-0.002001 Mean :-0.03974 Mean :-0.0175
## 3rd Qu.: 0.362495 3rd Qu.: 0.152500 3rd Qu.: 0.17001 3rd Qu.: 0.2150
## Max. : 0.940000 Max. : 1.010000 Max. : 0.79501 Max. : 0.6100
## data.25 data.26 data.27 data.28
## Min. :-0.8200 Min. :-0.9250 Min. :-1.3300 Min. :-1.6100
## 1st Qu.:-0.3625 1st Qu.:-0.2800 1st Qu.:-0.3675 1st Qu.:-0.6825
## Median :-0.1350 Median :-0.0175 Median : 0.0000 Median :-0.2550
## Mean :-0.0120 Mean :-0.0185 Mean : 0.0705 Mean :-0.2035
## 3rd Qu.: 0.3350 3rd Qu.: 0.2375 3rd Qu.: 0.5125 3rd Qu.: 0.3350
## Max. : 1.2800 Max. : 0.8950 Max. : 1.3500 Max. : 1.4000
## data.29 data.30 data.31 data.32
## Min. :-0.8400 Min. :-1.670000 Min. :-1.3300 Min. :-0.780000
## 1st Qu.:-0.2375 1st Qu.:-0.198750 1st Qu.:-0.2650 1st Qu.:-0.256250
## Median : 0.0050 Median : 0.065000 Median : 0.0000 Median :-0.045000
## Mean : 0.0425 Mean :-0.001502 Mean : 0.1029 Mean : 0.009749
## 3rd Qu.: 0.3063 3rd Qu.: 0.252500 3rd Qu.: 0.5625 3rd Qu.: 0.436250
## Max. : 1.3500 Max. : 1.130000 Max. : 1.3000 Max. : 0.930000
## data.33 data.34 data.35 data.36
## Min. :-1.050010 Min. :-1.14500 Min. :-1.5500 Min. :-1.0850
## 1st Qu.:-0.412510 1st Qu.:-0.44625 1st Qu.:-0.3925 1st Qu.:-0.2450
## Median :-0.004995 Median :-0.10000 Median : 0.0650 Median : 0.1450
## Mean :-0.008761 Mean :-0.03625 Mean :-0.0185 Mean : 0.0205
## 3rd Qu.: 0.314990 3rd Qu.: 0.25500 3rd Qu.: 0.4725 3rd Qu.: 0.4275
## Max. : 1.149990 Max. : 1.01500 Max. : 0.9300 Max. : 0.7150
## data.37 data.38 data.39 data.40
## Min. :-1.08000 Min. :-0.7300 Min. :-1.04000 Min. :-1.260
## 1st Qu.:-0.38750 1st Qu.:-0.2150 1st Qu.:-0.28500 1st Qu.:-0.190
## Median :-0.06499 Median :-0.0050 Median : 0.02500 Median : 0.065
## Mean :-0.14425 Mean : 0.0335 Mean :-0.02538 Mean : 0.141
## 3rd Qu.: 0.16500 3rd Qu.: 0.2850 3rd Qu.: 0.27249 3rd Qu.: 0.430
## Max. : 0.74000 Max. : 1.4200 Max. : 0.93000 Max. : 1.335
## data.41 data.42 data.43 data.44
## Min. :-1.150020 Min. :-1.2250 Min. :-1.7050 Min. :-1.4150
## 1st Qu.:-0.302519 1st Qu.:-0.1875 1st Qu.:-0.1725 1st Qu.:-0.1375
## Median : 0.039981 Median : 0.1200 Median : 0.2350 Median : 0.3650
## Mean : 0.007479 Mean : 0.1294 Mean : 0.1950 Mean : 0.2047
## 3rd Qu.: 0.294980 3rd Qu.: 0.4400 3rd Qu.: 0.6775 3rd Qu.: 0.6350
## Max. : 1.224981 Max. : 1.3350 Max. : 1.4750 Max. : 1.3650
## data.45 data.46 data.47 data.48
## Min. :-1.24000 Min. :-1.38500 Min. :-0.80000 Min. :-1.932500
## 1st Qu.:-0.27000 1st Qu.:-0.20500 1st Qu.:-0.26250 1st Qu.:-0.362500
## Median :-0.04000 Median : 0.03500 Median :-0.01500 Median :-0.067500
## Mean :-0.02175 Mean :-0.01038 Mean :-0.01938 Mean : 0.002998
## 3rd Qu.: 0.28501 3rd Qu.: 0.26999 3rd Qu.: 0.21250 3rd Qu.: 0.440015
## Max. : 0.99500 Max. : 0.77498 Max. : 1.05000 Max. : 1.337500
## data.49 data.50 data.51 data.52
## Min. :-1.440 Min. :-1.15004 Min. :-1.2700 Min. :-1.23000
## 1st Qu.:-0.300 1st Qu.:-0.43750 1st Qu.:-0.4325 1st Qu.:-0.44500
## Median :-0.050 Median :-0.06500 Median :-0.0300 Median :-0.04000
## Mean :-0.017 Mean :-0.06475 Mean :-0.0175 Mean :-0.02275
## 3rd Qu.: 0.350 3rd Qu.: 0.28000 3rd Qu.: 0.3900 3rd Qu.: 0.42000
## Max. : 1.260 Max. : 1.29000 Max. : 1.5300 Max. : 1.45000
## data.53 data.54 data.55 data.56
## Min. :-0.9200 Min. :-0.66500 Min. :-0.77499 Min. :-0.7200
## 1st Qu.:-0.3075 1st Qu.:-0.23000 1st Qu.:-0.26749 1st Qu.:-0.2025
## Median :-0.0600 Median : 0.03000 Median : 0.05001 Median : 0.0150
## Mean : 0.1087 Mean : 0.06225 Mean : 0.05126 Mean : 0.0485
## 3rd Qu.: 0.5150 3rd Qu.: 0.25999 3rd Qu.: 0.30501 3rd Qu.: 0.3125
## Max. : 1.6700 Max. : 0.87500 Max. : 1.00503 Max. : 0.8200
## data.57 data.58 data.59 data.60
## Min. :-1.03000 Min. :-0.7850 Min. :-1.55000 Min. :-1.350
## 1st Qu.:-0.22626 1st Qu.:-0.2350 1st Qu.:-0.23000 1st Qu.:-0.295
## Median : 0.00000 Median : 0.0075 Median : 0.01000 Median : 0.025
## Mean :-0.04075 Mean :-0.0200 Mean : 0.01937 Mean :-0.036
## 3rd Qu.: 0.15000 3rd Qu.: 0.1550 3rd Qu.: 0.30500 3rd Qu.: 0.270
## Max. : 0.69000 Max. : 1.3050 Max. : 1.16000 Max. : 0.780
## data.61 data.62 data.63 data.64
## Min. :-0.85998 Min. :-0.7750 Min. :-1.175000 Min. :-0.91000
## 1st Qu.:-0.38998 1st Qu.:-0.2350 1st Qu.:-0.377500 1st Qu.:-0.22750
## Median : 0.10752 Median : 0.0000 Median : 0.015000 Median : 0.00000
## Mean : 0.02927 Mean :-0.0435 Mean : 0.006874 Mean : 0.02737
## 3rd Qu.: 0.42503 3rd Qu.: 0.1450 3rd Qu.: 0.445000 3rd Qu.: 0.29247
## Max. : 0.91002 Max. : 0.5950 Max. : 0.985000 Max. : 0.93000
## data.65 data.66 data.67 data.68
## Min. :-1.31998 Min. :-1.4000 Min. :-2.1700 Min. :-1.555010
## 1st Qu.:-0.24499 1st Qu.:-0.3287 1st Qu.:-0.4662 1st Qu.:-0.417524
## Median :-0.00499 Median : 0.0000 Median :-0.0250 Median : 0.002505
## Mean :-0.03686 Mean : 0.0385 Mean :-0.1171 Mean :-0.079011
## 3rd Qu.: 0.10752 3rd Qu.: 0.4600 3rd Qu.: 0.1825 3rd Qu.: 0.199990
## Max. : 1.14002 Max. : 1.0400 Max. : 1.8300 Max. : 1.024990
## data.69 data.70 data.71 data.72
## Min. :-2.50501 Min. :-1.63000 Min. :-1.1400 Min. :-1.39000
## 1st Qu.:-0.27501 1st Qu.:-0.27500 1st Qu.:-0.3975 1st Qu.:-0.28000
## Median :-0.05000 Median :-0.08001 Median :-0.0625 Median :-0.03001
## Mean :-0.07151 Mean :-0.06425 Mean :-0.1010 Mean :-0.01763
## 3rd Qu.: 0.43499 3rd Qu.: 0.24500 3rd Qu.: 0.1800 3rd Qu.: 0.23000
## Max. : 0.75499 Max. : 0.74000 Max. : 0.7600 Max. : 0.70000
## data.73 data.74 data.75 data.76
## Min. :-1.45000 Min. :-1.15996 Min. :-1.53998 Min. :-1.0350
## 1st Qu.:-0.15250 1st Qu.:-0.32496 1st Qu.:-0.35998 1st Qu.:-0.2575
## Median : 0.00000 Median :-0.00498 Median :-0.01499 Median :-0.0125
## Mean :-0.02238 Mean :-0.02646 Mean :-0.10198 Mean :-0.0905
## 3rd Qu.: 0.16499 3rd Qu.: 0.31753 3rd Qu.: 0.31252 3rd Qu.: 0.1725
## Max. : 2.10000 Max. : 1.40004 Max. : 0.65502 Max. : 0.5600
## data.77 data.78 data.79 data.80
## Min. :-0.9900 Min. :-2.5500 Min. :-0.66000 Min. :-3.7300
## 1st Qu.:-0.3925 1st Qu.:-1.0813 1st Qu.:-0.14000 1st Qu.:-0.5725
## Median : 0.0000 Median :-0.3000 Median : 0.00000 Median :-0.1100
## Mean :-0.0955 Mean : 0.0945 Mean :-0.02338 Mean :-0.2355
## 3rd Qu.: 0.1575 3rd Qu.: 0.9425 3rd Qu.: 0.11750 3rd Qu.: 0.5300
## Max. : 1.1950 Max. : 3.6000 Max. : 0.61000 Max. : 2.4900
## data.81 data.82 data.83 data.84
## Min. :-1.52499 Min. :-2.8200 Min. :-1.6500 Min. :-2.560000
## 1st Qu.:-0.31374 1st Qu.:-0.4200 1st Qu.:-0.2400 1st Qu.:-0.494985
## Median : 0.00000 Median : 0.0000 Median : 0.0000 Median : 0.000000
## Mean :-0.01637 Mean : 0.0920 Mean : 0.1120 Mean :-0.005001
## 3rd Qu.: 0.32251 3rd Qu.: 0.6975 3rd Qu.: 0.3075 3rd Qu.: 0.562500
## Max. : 2.47501 Max. : 2.2900 Max. : 2.8000 Max. : 2.100000
## data.85 data.86 data.87 data.88
## Min. :-1.1250 Min. :-0.78000 Min. :-1.92502 Min. :-1.65252
## 1st Qu.:-0.2375 1st Qu.:-0.24998 1st Qu.:-0.27000 1st Qu.:-0.34750
## Median : 0.1000 Median : 0.01002 Median :-0.00750 Median :-0.02000
## Mean : 0.2215 Mean : 0.02477 Mean : 0.03512 Mean :-0.06375
## 3rd Qu.: 0.7800 3rd Qu.: 0.25377 3rd Qu.: 0.45501 3rd Qu.: 0.26624
## Max. : 2.1950 Max. : 1.05002 Max. : 1.72500 Max. : 1.31750
## data.89 data.90 data.91 data.92
## Min. :-0.960000 Min. :-1.0600 Min. :-1.22002 Min. :-1.3850
## 1st Qu.:-0.677500 1st Qu.:-0.5625 1st Qu.:-0.41500 1st Qu.:-0.5413
## Median : 0.050000 Median : 0.1650 Median : 0.04000 Median : 0.1550
## Mean : 0.008749 Mean : 0.1020 Mean : 0.05587 Mean : 0.2394
## 3rd Qu.: 0.472500 3rd Qu.: 0.6400 3rd Qu.: 0.38250 3rd Qu.: 0.9975
## Max. : 1.215000 Max. : 1.5800 Max. : 1.43002 Max. : 2.0650
## data.93 data.94 data.95 data.96
## Min. :-1.4700 Min. :-3.46000 Min. :-3.87002 Min. :-1.13000
## 1st Qu.:-0.4950 1st Qu.:-0.84250 1st Qu.:-1.00250 1st Qu.:-0.49750
## Median : 0.0275 Median : 0.03500 Median : 0.28000 Median : 0.04000
## Mean : 0.0250 Mean :-0.06213 Mean :-0.03375 Mean : 0.06112
## 3rd Qu.: 0.5400 3rd Qu.: 0.84500 3rd Qu.: 1.09500 3rd Qu.: 0.46750
## Max. : 1.6800 Max. : 1.83002 Max. : 2.27002 Max. : 1.39000
## data.97 data.98 data.99 data.100
## Min. :-0.90000 Min. :-1.5900 Min. :-2.500 Min. :-3.2200
## 1st Qu.:-0.11750 1st Qu.:-0.1400 1st Qu.:-0.330 1st Qu.:-0.2500
## Median : 0.00000 Median : 0.4800 Median : 0.395 Median : 0.1700
## Mean : 0.03262 Mean : 0.3244 Mean : 0.376 Mean : 0.1271
## 3rd Qu.: 0.26751 3rd Qu.: 0.8225 3rd Qu.: 1.157 3rd Qu.: 1.0450
## Max. : 1.06000 Max. : 1.8700 Max. : 2.445 Max. : 2.1200
## data.101 data.102 data.103 data.104
## Min. :-1.0700 Min. :-0.72000 Min. :-0.9700 Min. :-1.2300
## 1st Qu.:-0.3025 1st Qu.:-0.17625 1st Qu.:-0.2500 1st Qu.:-0.2175
## Median :-0.0300 Median : 0.00000 Median : 0.1150 Median : 0.0550
## Mean : 0.1092 Mean : 0.07962 Mean : 0.1645 Mean : 0.2355
## 3rd Qu.: 0.4075 3rd Qu.: 0.25250 3rd Qu.: 0.4325 3rd Qu.: 0.6950
## Max. : 2.1650 Max. : 1.34000 Max. : 1.7750 Max. : 2.0500
## data.105 data.106 data.107 data.108
## Min. :-0.9500 Min. :-0.8600 Min. :-1.7275 Min. :-1.210
## 1st Qu.:-0.3937 1st Qu.:-0.3125 1st Qu.:-0.3175 1st Qu.:-0.310
## Median : 0.1800 Median : 0.0325 Median : 0.2475 Median : 0.205
## Mean : 0.1940 Mean : 0.1037 Mean : 0.1940 Mean : 0.414
## 3rd Qu.: 0.5875 3rd Qu.: 0.4725 3rd Qu.: 0.4575 3rd Qu.: 1.273
## Max. : 1.9650 Max. : 1.2550 Max. : 2.7125 Max. : 2.285
## data.109 data.110 data.111 data.112
## Min. :-1.840 Min. :-1.3350 Min. :-2.1900 Min. :-1.8650
## 1st Qu.:-0.670 1st Qu.:-0.3475 1st Qu.:-0.5275 1st Qu.:-0.7375
## Median : 0.015 Median : 0.1600 Median :-0.0350 Median :-0.1600
## Mean : 0.060 Mean : 0.1512 Mean : 0.7062 Mean : 0.8167
## 3rd Qu.: 0.915 3rd Qu.: 0.6850 3rd Qu.: 0.8125 3rd Qu.: 1.8687
## Max. : 1.890 Max. : 1.7550 Max. : 5.5200 Max. : 6.6850
## data.113 data.114 data.115 data.116
## Min. :-2.0800 Min. :-1.394990 Min. :-0.8200 Min. :-0.64000
## 1st Qu.:-0.8925 1st Qu.:-0.427490 1st Qu.:-0.5125 1st Qu.:-0.13251
## Median :-0.2450 Median :-0.010000 Median :-0.1700 Median :-0.01500
## Mean : 0.9082 Mean : 0.003258 Mean :-0.1218 Mean : 0.07862
## 3rd Qu.: 2.0800 3rd Qu.: 0.347510 3rd Qu.: 0.1625 3rd Qu.: 0.24000
## Max. : 7.4600 Max. : 1.495010 Max. : 0.8950 Max. : 0.98000
## data.117 data.118 data.119 data.120
## Min. :-1.42750 Min. :-1.3750 Min. :-1.0900 Min. :-2.1100
## 1st Qu.:-0.62000 1st Qu.:-0.1725 1st Qu.:-0.3975 1st Qu.:-0.4575
## Median : 0.00000 Median : 0.1025 Median :-0.0350 Median :-0.0150
## Mean :-0.06975 Mean : 0.1443 Mean : 0.3411 Mean :-0.1426
## 3rd Qu.: 0.43250 3rd Qu.: 0.3425 3rd Qu.: 0.4025 3rd Qu.: 0.2750
## Max. : 1.43250 Max. : 2.4350 Max. : 4.6000 Max. : 1.7400
## data.121 data.122 data.123 data.124
## Min. :-2.2400 Min. :-0.760 Min. :-0.770019 Min. :-1.99500
## 1st Qu.:-0.2825 1st Qu.:-0.220 1st Qu.:-0.303765 1st Qu.:-0.40250
## Median :-0.0325 Median : 0.000 Median :-0.070000 Median : 0.00000
## Mean :-0.0830 Mean :-0.027 Mean :-0.005377 Mean :-0.09713
## 3rd Qu.: 0.4075 3rd Qu.: 0.130 3rd Qu.: 0.185000 3rd Qu.: 0.00000
## Max. : 0.9700 Max. : 1.390 Max. : 2.030020 Max. : 5.25502
## data.125 data.126 data.127 data.128
## Min. :-2.3700 Min. :-2.0350 Min. :-2.4150 Min. :-2.3600
## 1st Qu.:-0.4250 1st Qu.:-0.4550 1st Qu.:-0.4525 1st Qu.:-0.6425
## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean :-0.0805 Mean : 0.1337 Mean : 0.5430 Mean : 0.0775
## 3rd Qu.: 0.0700 3rd Qu.: 0.6725 3rd Qu.: 1.4463 3rd Qu.: 0.0500
## Max. : 4.6800 Max. : 2.5050 Max. : 3.5650 Max. : 4.6500
## data.129 data.130 data.131 data.132
## Min. :-1.26500 Min. :-1.5950 Min. :-1.96000 Min. :-2.26000
## 1st Qu.:-0.30750 1st Qu.:-0.4725 1st Qu.:-0.51750 1st Qu.:-0.76750
## Median :-0.05502 Median : 0.0000 Median : 0.00000 Median :-0.02500
## Mean : 0.09412 Mean : 0.2769 Mean : 0.04637 Mean :-0.05425
## 3rd Qu.: 0.33500 3rd Qu.: 0.4050 3rd Qu.: 0.51250 3rd Qu.: 0.67000
## Max. : 2.26500 Max. : 4.1550 Max. : 2.09998 Max. : 2.18000
## data.133 data.134 data.135 data.136
## Min. :-5.130010 Min. :-2.9600 Min. :-1.7600 Min. :-1.3900
## 1st Qu.:-2.465010 1st Qu.:-1.3025 1st Qu.:-0.4950 1st Qu.:-0.1850
## Median : 0.000000 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean :-0.710382 Mean : 0.1996 Mean : 0.0395 Mean : 0.1536
## 3rd Qu.: 0.002498 3rd Qu.: 1.6650 3rd Qu.: 0.5375 3rd Qu.: 0.2925
## Max. : 4.164990 Max. : 6.2450 Max. : 3.0500 Max. : 2.4900
## data.137 data.138 data.139 data.140
## Min. :-1.6200 Min. :-1.44000 Min. :-1.75001 Min. :-2.27000
## 1st Qu.:-0.6750 1st Qu.:-0.50000 1st Qu.:-0.92751 1st Qu.:-0.71500
## Median : 0.0000 Median :-0.09500 Median : 0.00000 Median :-0.06999
## Mean :-0.1432 Mean :-0.03063 Mean :-0.15876 Mean :-0.16450
## 3rd Qu.: 0.0000 3rd Qu.: 0.29751 3rd Qu.: 0.06998 3rd Qu.: 0.31000
## Max. : 1.8300 Max. : 3.10000 Max. : 3.57999 Max. : 2.70000
## data.141 data.142 data.143 data.144
## Min. :-1.0700 Min. :-1.5100 Min. :-1.6050 Min. :-1.69500
## 1st Qu.:-0.3075 1st Qu.:-0.3350 1st Qu.:-0.5262 1st Qu.:-0.61250
## Median : 0.0000 Median : 0.0000 Median : 0.2750 Median : 0.00000
## Mean : 0.2287 Mean : 0.2284 Mean : 0.6220 Mean :-0.09138
## 3rd Qu.: 0.5725 3rd Qu.: 0.3375 3rd Qu.: 1.9525 3rd Qu.: 0.35000
## Max. : 3.3000 Max. : 3.1800 Max. : 3.7350 Max. : 1.28000
## data.145 data.146 data.147 data.148
## Min. :-2.29000 Min. :-1.0850 Min. :-1.5400 Min. :-1.5200
## 1st Qu.:-0.61250 1st Qu.:-0.4200 1st Qu.:-0.3738 1st Qu.:-0.4612
## Median : 0.10000 Median : 0.0000 Median :-0.0100 Median : 0.0650
## Mean : 0.04575 Mean :-0.0395 Mean :-0.0585 Mean : 0.0410
## 3rd Qu.: 0.69000 3rd Qu.: 0.2325 3rd Qu.: 0.3825 3rd Qu.: 0.4575
## Max. : 1.36000 Max. : 1.2750 Max. : 1.1100 Max. : 1.9300
## data.149 data.150 data.151 data.152
## Min. :-1.65500 Min. :-0.6900 Min. :-1.1050 Min. :-1.1700
## 1st Qu.:-0.38250 1st Qu.:-0.2225 1st Qu.:-0.2675 1st Qu.:-0.2950
## Median : 0.03500 Median : 0.0250 Median : 0.1450 Median : 0.2700
## Mean : 0.03912 Mean : 0.2750 Mean : 0.3120 Mean : 0.3505
## 3rd Qu.: 0.48500 3rd Qu.: 0.7288 3rd Qu.: 0.9000 3rd Qu.: 0.8725
## Max. : 2.18500 Max. : 1.9600 Max. : 2.0550 Max. : 2.2300
## data.153 data.154 data.155 data.156
## Min. :-1.690 Min. :-2.8100 Min. :-1.06000 Min. :-1.6200
## 1st Qu.:-0.400 1st Qu.:-0.3300 1st Qu.:-0.12000 1st Qu.:-0.2600
## Median : 0.205 Median : 0.0000 Median : 0.00000 Median : 0.2200
## Mean : 0.164 Mean :-0.0140 Mean : 0.05062 Mean : 0.2302
## 3rd Qu.: 0.810 3rd Qu.: 0.3438 3rd Qu.: 0.33500 3rd Qu.: 0.4925
## Max. : 2.950 Max. : 1.7400 Max. : 0.90000 Max. : 3.3600
## data.157 data.158 data.159 data.160
## Min. :-1.570 Min. :-1.3950 Min. :-1.3000 Min. :-0.95000
## 1st Qu.:-0.135 1st Qu.:-0.3425 1st Qu.:-0.2275 1st Qu.:-0.35375
## Median : 0.165 Median : 0.0950 Median : 0.0075 Median :-0.01000
## Mean : 0.224 Mean : 0.1437 Mean : 0.0880 Mean : 0.01525
## 3rd Qu.: 0.615 3rd Qu.: 0.6375 3rd Qu.: 0.4500 3rd Qu.: 0.30501
## Max. : 2.810 Max. : 1.7450 Max. : 1.4100 Max. : 1.23000
## data.161 data.162 data.163 data.164
## Min. :-0.7900 Min. :-1.75500 Min. :-2.4200 Min. :-1.8925
## 1st Qu.:-0.2750 1st Qu.:-1.05125 1st Qu.:-1.0400 1st Qu.:-0.8175
## Median : 0.0250 Median : 0.05000 Median : 0.0850 Median : 0.1825
## Mean :-0.0360 Mean :-0.02625 Mean :-0.1283 Mean :-0.0200
## 3rd Qu.: 0.1825 3rd Qu.: 0.67250 3rd Qu.: 0.7025 3rd Qu.: 0.6300
## Max. : 0.8600 Max. : 2.16500 Max. : 2.1700 Max. : 2.1275
## data.165 data.166 data.167 data.168
## Min. :-1.270000 Min. :-0.84501 Min. :-2.0200 Min. :-1.19000
## 1st Qu.:-0.527500 1st Qu.:-0.22501 1st Qu.:-0.5000 1st Qu.:-0.51501
## Median : 0.007500 Median :-0.03001 Median : 0.0750 Median : 0.00000
## Mean :-0.003251 Mean :-0.03301 Mean : 0.0415 Mean :-0.04413
## 3rd Qu.: 0.470000 3rd Qu.: 0.15499 3rd Qu.: 0.6350 3rd Qu.: 0.45252
## Max. : 1.370000 Max. : 0.85499 Max. : 2.0200 Max. : 1.12000
## data.169 data.170 data.171 data.172
## Min. :-1.0500 Min. :-1.37500 Min. :-0.83000 Min. :-1.0500000
## 1st Qu.:-0.3912 1st Qu.:-0.21250 1st Qu.:-0.16999 1st Qu.:-0.3062500
## Median : 0.0050 Median : 0.12000 Median : 0.02498 Median : 0.0249902
## Mean :-0.0285 Mean : 0.02887 Mean : 0.04950 Mean :-0.0007515
## 3rd Qu.: 0.3700 3rd Qu.: 0.37750 3rd Qu.: 0.29250 3rd Qu.: 0.2874951
## Max. : 0.9000 Max. : 0.85498 Max. : 0.86000 Max. : 0.8700000
## data.173 data.174 data.175 data.176
## Min. :-0.9400 Min. :-1.2200 Min. :-1.1750 Min. :-0.67004
## 1st Qu.:-0.3625 1st Qu.:-0.2025 1st Qu.:-0.1025 1st Qu.:-0.10252
## Median : 0.1675 Median : 0.1150 Median : 0.1500 Median : 0.08498
## Mean : 0.0860 Mean : 0.1119 Mean : 0.1440 Mean : 0.10723
## 3rd Qu.: 0.3925 3rd Qu.: 0.4750 3rd Qu.: 0.4587 3rd Qu.: 0.31498
## Max. : 0.9700 Max. : 1.2800 Max. : 1.4550 Max. : 0.88998
## data.177 data.178 data.179 data.180
## Min. :-1.760000 Min. :-1.59000 Min. :-1.6750 Min. :-1.2550
## 1st Qu.:-0.417500 1st Qu.:-0.31750 1st Qu.:-0.5725 1st Qu.:-0.3400
## Median : 0.000000 Median :-0.03501 Median : 0.0000 Median : 0.0675
## Mean :-0.008627 Mean : 0.05850 Mean : 0.2244 Mean : 0.1590
## 3rd Qu.: 0.252495 3rd Qu.: 0.24750 3rd Qu.: 0.4350 3rd Qu.: 0.5450
## Max. : 1.690000 Max. : 3.35002 Max. : 3.4150 Max. : 2.2450
## data.181 data.182 data.183 data.184
## Min. :-1.66499 Min. :-1.9000 Min. :-0.92000 Min. :-1.2000
## 1st Qu.:-0.31499 1st Qu.:-0.4500 1st Qu.:-0.30375 1st Qu.:-0.1900
## Median : 0.03500 Median :-0.0050 Median : 0.00000 Median : 0.0300
## Mean : 0.07801 Mean : 0.2131 Mean :-0.06075 Mean : 0.0150
## 3rd Qu.: 0.55750 3rd Qu.: 0.9750 3rd Qu.: 0.12250 3rd Qu.: 0.2825
## Max. : 1.05501 Max. : 2.3100 Max. : 0.61000 Max. : 0.9900
## data.185 data.186 data.187 data.188
## Min. :-0.9500 Min. :-2.39000 Min. :-2.5700 Min. :-2.4800
## 1st Qu.:-0.2300 1st Qu.:-0.42625 1st Qu.:-0.3600 1st Qu.:-1.2400
## Median : 0.0650 Median :-0.02000 Median : 0.2725 Median : 0.0000
## Mean : 0.1155 Mean :-0.04238 Mean : 0.5372 Mean : 0.3862
## 3rd Qu.: 0.4900 3rd Qu.: 0.39250 3rd Qu.: 1.2625 3rd Qu.: 1.5350
## Max. : 1.0100 Max. : 1.11998 Max. : 5.2000 Max. : 4.8000
## data.189 data.190 data.191 data.192
## Min. :-2.5200 Min. :-0.77500 Min. :-1.0750 Min. :-1.3100
## 1st Qu.:-0.3900 1st Qu.:-0.28250 1st Qu.:-0.2875 1st Qu.:-0.4425
## Median :-0.0850 Median : 0.05501 Median : 0.0250 Median : 0.0850
## Mean : 0.4464 Mean : 0.12500 Mean : 0.2119 Mean : 0.2014
## 3rd Qu.: 1.0750 3rd Qu.: 0.47249 3rd Qu.: 0.5925 3rd Qu.: 0.9275
## Max. : 4.5600 Max. : 1.46500 Max. : 2.5150 Max. : 2.3300
## data.193 data.194 data.195 data.196
## Min. :-1.33750 Min. :-1.84750 Min. :-2.07996 Min. :-5.6450
## 1st Qu.:-0.69750 1st Qu.:-0.51000 1st Qu.:-0.54248 1st Qu.:-2.5912
## Median :-0.02875 Median :-0.11251 Median :-0.01998 Median : 0.0000
## Mean : 0.22900 Mean :-0.09375 Mean : 0.09091 Mean :-0.4529
## 3rd Qu.: 1.10500 3rd Qu.: 0.46500 3rd Qu.: 0.84754 3rd Qu.: 1.8725
## Max. : 2.76250 Max. : 1.50250 Max. : 2.09004 Max. : 3.0550
## data.197 data.198 data.199 data.200
## Min. :-2.2750 Min. :-1.2100 Min. :-1.56000 Min. :-1.07000
## 1st Qu.:-1.1550 1st Qu.:-0.1250 1st Qu.:-0.50000 1st Qu.:-0.29500
## Median : 0.0000 Median : 0.0000 Median : 0.03498 Median :-0.04999
## Mean : 0.1506 Mean : 0.5576 Mean :-0.12313 Mean : 0.05425
## 3rd Qu.: 1.2625 3rd Qu.: 1.0350 3rd Qu.: 0.43000 3rd Qu.: 0.49250
## Max. : 2.7550 Max. : 4.4900 Max. : 0.96000 Max. : 1.00000
## data.201 data.202 data.203 data.204
## Min. :-2.35000 Min. :-0.7350 Min. :-1.04500 Min. :-1.8300
## 1st Qu.:-0.74002 1st Qu.:-0.3125 1st Qu.:-0.47875 1st Qu.:-0.6500
## Median :-0.10499 Median :-0.0200 Median :-0.09000 Median : 0.0000
## Mean : 0.07025 Mean : 0.1210 Mean : 0.06825 Mean : 0.2131
## 3rd Qu.: 0.90250 3rd Qu.: 0.4725 3rd Qu.: 0.55999 3rd Qu.: 0.5225
## Max. : 2.53000 Max. : 1.3500 Max. : 1.53500 Max. : 4.9800
## data.205 data.206 data.207 data.208
## Min. :-1.4000 Min. :-1.5425 Min. :-1.8000 Min. :-2.1200
## 1st Qu.:-0.3425 1st Qu.:-0.1925 1st Qu.:-0.2662 1st Qu.:-0.9775
## Median : 0.1700 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean : 0.4950 Mean : 0.1144 Mean : 0.4204 Mean : 0.1909
## 3rd Qu.: 1.2300 3rd Qu.: 0.3475 3rd Qu.: 0.9150 3rd Qu.: 1.3250
## Max. : 3.1600 Max. : 2.2075 Max. : 4.9900 Max. : 2.7000
## data.209 data.210 data.211 data.212
## Min. :-1.530 Min. :-1.05000 Min. :-1.8100 Min. :-1.7700
## 1st Qu.:-0.435 1st Qu.:-0.18000 1st Qu.:-0.5100 1st Qu.:-0.6150
## Median : 0.000 Median : 0.01501 Median : 0.0000 Median : 0.0000
## Mean : 0.241 Mean : 0.31075 Mean : 0.2069 Mean : 0.1857
## 3rd Qu.: 0.680 3rd Qu.: 0.81000 3rd Qu.: 0.7425 3rd Qu.: 0.2825
## Max. : 2.970 Max. : 2.66000 Max. : 3.3700 Max. : 5.5100
## data.213 data.214 data.215 data.216
## Min. :-2.55001 Min. :-2.019961 Min. :-1.2900 Min. :-1.19750
## 1st Qu.:-1.09749 1st Qu.:-0.549976 1st Qu.:-0.4125 1st Qu.:-0.38750
## Median : 0.00000 Median :-0.004981 Median : 0.0000 Median :-0.05750
## Mean : 0.02126 Mean : 0.337161 Mean :-0.1115 Mean : 0.09719
## 3rd Qu.: 1.37002 3rd Qu.: 0.517544 3rd Qu.: 0.1400 3rd Qu.: 0.66497
## Max. : 3.14001 Max. : 4.480039 Max. : 1.1500 Max. : 1.66250
## data.217 data.218 data.219 data.220
## Min. :-1.91500 Min. :-1.22500 Min. :-1.35000 Min. :-1.00500
## 1st Qu.:-0.47500 1st Qu.:-0.35500 1st Qu.:-0.36250 1st Qu.:-0.23500
## Median : 0.01000 Median : 0.00000 Median :-0.00500 Median : 0.05001
## Mean : 0.01425 Mean :-0.07275 Mean : 0.05525 Mean : 0.05825
## 3rd Qu.: 0.38500 3rd Qu.: 0.17247 3rd Qu.: 0.54749 3rd Qu.: 0.39749
## Max. : 1.42500 Max. : 0.99500 Max. : 1.55002 Max. : 1.26002
## data.221 data.222 data.223 data.224
## Min. :-1.5000 Min. :-1.4600 Min. :-2.3300 Min. :-2.0050
## 1st Qu.:-0.5250 1st Qu.:-0.4838 1st Qu.:-0.6050 1st Qu.:-0.5100
## Median :-0.0050 Median :-0.0350 Median : 0.0000 Median : 0.0000
## Mean : 0.2095 Mean : 0.1614 Mean : 0.1207 Mean : 0.7695
## 3rd Qu.: 0.7150 3rd Qu.: 0.5475 3rd Qu.: 0.1350 3rd Qu.: 1.0525
## Max. : 3.1900 Max. : 2.7700 Max. : 4.2500 Max. : 6.8600
## data.225 data.226 data.227 data.228
## Min. :-1.4100 Min. :-2.2100 Min. :-2.3500 Min. :-1.4400
## 1st Qu.:-0.4150 1st Qu.:-0.2150 1st Qu.:-0.5525 1st Qu.:-0.3975
## Median : 0.0500 Median :-0.0050 Median : 0.0200 Median : 0.0950
## Mean : 0.2831 Mean : 0.3447 Mean : 0.5865 Mean : 0.5902
## 3rd Qu.: 0.6900 3rd Qu.: 0.4950 3rd Qu.: 0.5525 3rd Qu.: 0.6525
## Max. : 3.5800 Max. : 5.0600 Max. : 6.2200 Max. : 5.8700
## data.229 data.230 data.231 data.232
## Min. :-1.3100 Min. :-1.6250 Min. :-1.0250 Min. :-1.34499
## 1st Qu.:-0.5075 1st Qu.:-0.2400 1st Qu.:-0.3400 1st Qu.:-0.30249
## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median : 0.04499
## Mean : 0.7329 Mean : 0.2169 Mean : 0.4444 Mean : 0.17976
## 3rd Qu.: 0.6325 3rd Qu.: 0.1650 3rd Qu.: 0.6275 3rd Qu.: 0.41751
## Max. : 6.6400 Max. : 4.7950 Max. : 5.7950 Max. : 2.03501
## data.233 data.234 data.235 data.236
## Min. :-2.48000 Min. :-1.2900 Min. :-1.1050 Min. :-2.39000
## 1st Qu.:-0.81500 1st Qu.:-0.7475 1st Qu.:-0.2725 1st Qu.:-0.44875
## Median :-0.03500 Median :-0.0150 Median : 0.0000 Median :-0.14000
## Mean : 0.04187 Mean : 0.1262 Mean : 0.0325 Mean : 0.07625
## 3rd Qu.: 0.25000 3rd Qu.: 0.7950 3rd Qu.: 0.4675 3rd Qu.: 0.76875
## Max. : 4.05002 Max. : 2.9100 Max. : 1.2550 Max. : 2.60998
## data.237 data.238 data.239 data.240
## Min. :-3.2000 Min. :-1.660 Min. :-1.0800 Min. :-1.142500
## 1st Qu.:-0.7875 1st Qu.:-0.445 1st Qu.:-0.5625 1st Qu.:-0.585000
## Median :-0.0100 Median : 0.000 Median :-0.1175 Median :-0.067500
## Mean : 0.0520 Mean : 0.099 Mean : 0.1984 Mean : 0.008748
## 3rd Qu.: 0.9750 3rd Qu.: 0.485 3rd Qu.: 0.8025 3rd Qu.: 0.557500
## Max. : 2.9600 Max. : 2.670 Max. : 2.9600 Max. : 1.527480
## data.241 data.242 data.243 data.244
## Min. :-2.9050 Min. :-2.2550 Min. :-4.32000 Min. :-3.21002
## 1st Qu.:-1.3725 1st Qu.:-0.6875 1st Qu.:-1.79000 1st Qu.:-1.13375
## Median : 0.0000 Median :-0.0275 Median : 0.00000 Median : 0.00000
## Mean :-0.1274 Mean : 0.3589 Mean :-0.02038 Mean :-0.08425
## 3rd Qu.: 0.8775 3rd Qu.: 1.7500 3rd Qu.: 1.71500 3rd Qu.: 1.14749
## Max. : 2.6250 Max. : 3.4150 Max. : 3.35998 Max. : 3.44000
## data.245 data.246 data.247 data.248
## Min. :-2.5000 Min. :-3.30000 Min. :-2.680000 Min. :-2.4600
## 1st Qu.:-1.1675 1st Qu.:-1.22000 1st Qu.:-1.505015 1st Qu.:-0.7700
## Median : 0.3200 Median : 0.02000 Median :-0.075000 Median : 0.0150
## Mean : 0.3792 Mean :-0.09575 Mean :-0.002752 Mean : 0.9385
## 3rd Qu.: 1.8400 3rd Qu.: 1.06997 3rd Qu.: 1.799990 3rd Qu.: 2.9025
## Max. : 4.0600 Max. : 2.39000 Max. : 2.830020 Max. : 4.5600
## data.249 data.250 data.251 data.252
## Min. :-1.3300 Min. :-1.63000 Min. :-2.250 Min. :-2.7600
## 1st Qu.:-0.2225 1st Qu.:-0.66000 1st Qu.:-1.137 1st Qu.:-1.3925
## Median : 0.2200 Median :-0.06000 Median : 0.215 Median : 0.0000
## Mean : 0.3232 Mean : 0.01025 Mean : 0.366 Mean : 0.9534
## 3rd Qu.: 0.9000 3rd Qu.: 0.53250 3rd Qu.: 1.939 3rd Qu.: 3.4225
## Max. : 2.0100 Max. : 1.84998 Max. : 4.130 Max. : 5.5800
## data.253 data.254 data.255 data.256
## Min. :-2.680 Min. :-2.72000 Min. :-3.2400 Min. :-3.0200
## 1st Qu.:-1.258 1st Qu.:-1.47250 1st Qu.:-1.2975 1st Qu.:-1.0125
## Median : 0.000 Median : 0.00000 Median : 0.0000 Median :-0.2850
## Mean :-0.083 Mean :-0.02163 Mean :-0.2739 Mean : 0.8815
## 3rd Qu.: 1.192 3rd Qu.: 1.52000 3rd Qu.: 0.7825 3rd Qu.: 3.2750
## Max. : 2.440 Max. : 2.99000 Max. : 2.8200 Max. : 6.3400
## data.257 data.258 data.259 data.260
## Min. :-2.4800 Min. :-3.5650 Min. :-4.2900 Min. :-2.09500
## 1st Qu.:-1.0325 1st Qu.:-0.9450 1st Qu.:-0.2725 1st Qu.:-0.85000
## Median :-0.3350 Median :-0.1150 Median : 0.0000 Median : 0.00000
## Mean : 0.8469 Mean :-0.1639 Mean :-0.3191 Mean :-0.05813
## 3rd Qu.: 3.0125 3rd Qu.: 0.9525 3rd Qu.: 0.4475 3rd Qu.: 0.58499
## Max. : 5.8900 Max. : 2.3200 Max. : 2.6000 Max. : 2.27500
## data.261 data.262 data.263 data.264
## Min. :-2.38001 Min. :-1.4300 Min. :-2.05002 Min. :-2.57500
## 1st Qu.:-1.13751 1st Qu.:-0.7812 1st Qu.:-0.78252 1st Qu.:-1.37750
## Median :-0.17000 Median : 0.0000 Median : 0.00000 Median :-0.01000
## Mean : 0.01799 Mean : 0.3184 Mean : 0.00361 Mean : 0.01025
## 3rd Qu.: 1.38251 3rd Qu.: 0.4525 3rd Qu.: 0.51248 3rd Qu.: 1.45751
## Max. : 3.09999 Max. : 3.9200 Max. : 3.45000 Max. : 3.42500
## data.265 data.266 data.267 data.268
## Min. :-2.870 Min. :-3.59000 Min. :-2.4750 Min. :-1.3200
## 1st Qu.:-1.055 1st Qu.:-1.48000 1st Qu.:-0.7775 1st Qu.:-0.1900
## Median : 0.000 Median : 0.04000 Median : 0.0000 Median : 0.0000
## Mean : 0.290 Mean : 0.09575 Mean : 0.7074 Mean : 0.2276
## 3rd Qu.: 1.692 3rd Qu.: 1.83998 3rd Qu.: 2.3600 3rd Qu.: 0.3738
## Max. : 4.250 Max. : 4.06000 Max. : 4.4750 Max. : 1.9000
## data.269 data.270 data.271 data.272
## Min. :-2.1300 Min. :-1.7650 Min. :-1.66002 Min. :-1.1600
## 1st Qu.:-0.6300 1st Qu.:-0.5250 1st Qu.:-0.56002 1st Qu.:-0.3025
## Median : 0.0000 Median : 0.0000 Median :-0.04502 Median : 0.0400
## Mean : 0.1455 Mean : 0.1952 Mean : 0.07998 Mean : 0.2609
## 3rd Qu.: 0.9025 3rd Qu.: 0.6550 3rd Qu.: 0.21998 3rd Qu.: 0.5775
## Max. : 2.8900 Max. : 2.9650 Max. : 3.66998 Max. : 3.3900
## data.273 data.274 data.275 data.276
## Min. :-1.4000 Min. :-2.48002 Min. :-1.8500 Min. :-2.7100
## 1st Qu.:-0.6925 1st Qu.:-1.36250 1st Qu.:-0.7175 1st Qu.:-1.3300
## Median : 0.0000 Median :-0.15000 Median :-0.2050 Median : 0.0000
## Mean : 0.5799 Mean :-0.03438 Mean :-0.1399 Mean :-0.1645
## 3rd Qu.: 0.8675 3rd Qu.: 1.08750 3rd Qu.: 0.3175 3rd Qu.: 0.5625
## Max. : 5.3500 Max. : 3.06000 Max. : 2.2200 Max. : 3.4300
## data.277 data.278 data.279 data.280
## Min. :-2.6500 Min. :-1.4300 Min. :-1.0550 Min. :-2.4400
## 1st Qu.:-0.3800 1st Qu.:-0.4475 1st Qu.:-0.1475 1st Qu.:-0.5275
## Median : 0.0150 Median : 0.0200 Median : 0.1800 Median : 0.0650
## Mean : 0.1531 Mean : 0.1484 Mean : 0.2187 Mean : 0.0305
## 3rd Qu.: 0.5425 3rd Qu.: 0.8550 3rd Qu.: 0.5525 3rd Qu.: 0.7050
## Max. : 2.8200 Max. : 2.1500 Max. : 2.5000 Max. : 2.7800
## data.281 data.282 data.283 data.284
## Min. :-5.3800 Min. :-0.6800 Min. :-1.0150 Min. :-1.96998
## 1st Qu.:-1.8275 1st Qu.:-0.2450 1st Qu.:-0.3300 1st Qu.:-0.45748
## Median : 0.1625 Median : 0.1500 Median : 0.1200 Median : 0.11003
## Mean :-0.5368 Mean : 0.0780 Mean : 0.1334 Mean :-0.04523
## 3rd Qu.: 0.8050 3rd Qu.: 0.4125 3rd Qu.: 0.4700 3rd Qu.: 0.45501
## Max. : 2.1400 Max. : 0.7900 Max. : 1.2050 Max. : 0.92002
## data.285 data.286 data.287 data.288
## Min. :-2.0600 Min. :-4.9500 Min. :-2.7150 Min. :-1.18000
## 1st Qu.:-0.2450 1st Qu.:-3.2687 1st Qu.:-1.0413 1st Qu.:-0.25000
## Median : 0.1850 Median : 0.2400 Median : 0.2450 Median : 0.03000
## Mean : 0.1424 Mean :-0.2343 Mean : 0.3106 Mean : 0.07962
## 3rd Qu.: 0.6825 3rd Qu.: 2.0775 3rd Qu.: 1.8050 3rd Qu.: 0.46249
## Max. : 1.7400 Max. : 4.6800 Max. : 3.9550 Max. : 1.28002
## data.289 data.290 data.291 data.292
## Min. :-2.1900 Min. :-3.6900 Min. :-1.76000 Min. :-0.47500
## 1st Qu.:-0.1500 1st Qu.:-0.3275 1st Qu.:-0.44500 1st Qu.:-0.16500
## Median : 0.0850 Median : 0.0850 Median : 0.00000 Median : 0.01000
## Mean : 0.2372 Mean : 0.1400 Mean : 0.08687 Mean : 0.07862
## 3rd Qu.: 0.7975 3rd Qu.: 0.7312 3rd Qu.: 0.39499 3rd Qu.: 0.26499
## Max. : 3.1400 Max. : 3.1200 Max. : 2.66998 Max. : 1.32996
## data.293 data.294 data.295 data.296
## Min. :-1.2400 Min. :-1.0500 Min. :-1.88000 Min. :-1.9400
## 1st Qu.:-0.2750 1st Qu.:-0.3250 1st Qu.:-0.74750 1st Qu.:-0.6275
## Median : 0.0150 Median : 0.0200 Median : 0.00000 Median :-0.1250
## Mean : 0.2177 Mean : 0.1131 Mean : 0.02875 Mean : 0.1325
## 3rd Qu.: 0.6975 3rd Qu.: 0.4175 3rd Qu.: 0.34250 3rd Qu.: 0.9150
## Max. : 2.8050 Max. : 2.2500 Max. : 3.33000 Max. : 3.4400
## data.297 data.298 data.299 data.300
## Min. :-1.5300 Min. :-1.62000 Min. :-1.50500 Min. :-4.04000
## 1st Qu.:-0.2938 1st Qu.:-0.48250 1st Qu.:-0.09751 1st Qu.:-0.55375
## Median : 0.0700 Median : 0.04999 Median : 0.10000 Median : 0.05000
## Mean : 0.1232 Mean : 0.07500 Mean : 0.08062 Mean :-0.09525
## 3rd Qu.: 0.5200 3rd Qu.: 0.49000 3rd Qu.: 0.38997 3rd Qu.: 0.54751
## Max. : 1.8600 Max. : 1.56000 Max. : 0.72502 Max. : 2.06996
## data.301 data.302 data.303 data.304
## Min. :-4.3150 Min. :-4.95250 Min. :-0.58000 Min. :-1.04998
## 1st Qu.:-0.7200 1st Qu.:-0.31000 1st Qu.:-0.12500 1st Qu.:-0.09748
## Median : 0.1625 Median : 0.21250 Median : 0.06499 Median : 0.07002
## Mean :-0.1615 Mean :-0.02675 Mean : 0.08050 Mean : 0.08164
## 3rd Qu.: 0.5650 3rd Qu.: 0.66000 3rd Qu.: 0.32875 3rd Qu.: 0.22752
## Max. : 2.8350 Max. : 1.58750 Max. : 0.81000 Max. : 1.59002
## data.305 data.306 data.307 data.308
## Min. :-1.58500 Min. :-2.8150 Min. :-0.965000 Min. :-1.9200
## 1st Qu.:-0.15250 1st Qu.:-0.5450 1st Qu.:-0.265000 1st Qu.:-0.2250
## Median : 0.12498 Median : 0.1750 Median : 0.000000 Median : 0.1050
## Mean : 0.09962 Mean : 0.1396 Mean : 0.008124 Mean : 0.2380
## 3rd Qu.: 0.49500 3rd Qu.: 0.9175 3rd Qu.: 0.387500 3rd Qu.: 0.6713
## Max. : 2.14500 Max. : 2.1050 Max. : 0.964981 Max. : 2.9100
## data.309 data.310 data.311 data.312
## Min. :-1.2900 Min. :-1.260 Min. :-0.9100 Min. :-0.8000
## 1st Qu.:-0.3650 1st Qu.:-0.615 1st Qu.:-0.1675 1st Qu.:-0.1425
## Median : 0.0350 Median : 0.260 Median : 0.1250 Median : 0.0500
## Mean : 0.3487 Mean : 0.101 Mean : 0.1210 Mean : 0.0355
## 3rd Qu.: 0.8225 3rd Qu.: 0.755 3rd Qu.: 0.5225 3rd Qu.: 0.3300
## Max. : 3.6300 Max. : 1.200 Max. : 0.8900 Max. : 0.6800
## data.313 data.314 data.315 data.316
## Min. :-1.86998 Min. :-1.9700 Min. :-1.0000 Min. :-1.0700
## 1st Qu.:-0.32248 1st Qu.:-0.1775 1st Qu.:-0.1650 1st Qu.:-0.2675
## Median : 0.02001 Median : 0.0550 Median : 0.1000 Median : 0.0800
## Mean :-0.04248 Mean : 0.0365 Mean : 0.1095 Mean : 0.0455
## 3rd Qu.: 0.22002 3rd Qu.: 0.3925 3rd Qu.: 0.4675 3rd Qu.: 0.3100
## Max. : 1.93004 Max. : 1.6100 Max. : 0.8500 Max. : 0.9900
## data.317 data.318 data.319 data.320
## Min. :-2.01000 Min. :-1.8900 Min. :-1.3600 Min. :-1.0200000
## 1st Qu.:-0.67000 1st Qu.:-0.7175 1st Qu.:-0.0525 1st Qu.:-0.3025000
## Median : 0.00499 Median : 0.1650 Median : 0.2575 Median : 0.0000000
## Mean : 0.15450 Mean : 0.1715 Mean : 0.3202 Mean : 0.0002485
## 3rd Qu.: 0.89500 3rd Qu.: 0.7650 3rd Qu.: 0.9100 3rd Qu.: 0.3924756
## Max. : 2.26000 Max. : 2.8900 Max. : 2.0100 Max. : 1.0700200
## data.321 data.322 data.323 data.324
## Min. :-0.7300 Min. :-3.7850 Min. :-2.54000 Min. :-2.315
## 1st Qu.:-0.2437 1st Qu.:-0.8125 1st Qu.:-0.67625 1st Qu.:-1.043
## Median : 0.0000 Median : 0.0150 Median : 0.26500 Median : 0.000
## Mean : 0.0175 Mean :-0.3358 Mean : 0.03275 Mean : 0.088
## 3rd Qu.: 0.2200 3rd Qu.: 0.4100 3rd Qu.: 0.95250 3rd Qu.: 1.182
## Max. : 1.0400 Max. : 1.2500 Max. : 2.02000 Max. : 2.465
## data.325 data.326 data.327 data.328
## Min. :-2.68002 Min. :-1.925000 Min. :-2.01750 Min. :-2.75000
## 1st Qu.:-0.83750 1st Qu.:-0.540000 1st Qu.:-0.54250 1st Qu.:-0.53251
## Median : 0.01500 Median :-0.005000 Median : 0.00750 Median : 0.02000
## Mean :-0.08325 Mean :-0.001252 Mean : 0.01519 Mean : 0.03825
## 3rd Qu.: 0.54500 3rd Qu.: 0.456245 3rd Qu.: 0.59250 3rd Qu.: 0.61500
## Max. : 1.86000 Max. : 2.675000 Max. : 3.08250 Max. : 3.68000
## data.329 data.330 data.331 data.332
## Min. :-2.6650 Min. :-0.9650 Min. :-1.2500 Min. :-1.1600
## 1st Qu.:-1.0850 1st Qu.:-0.3100 1st Qu.:-0.5012 1st Qu.:-0.2975
## Median : 0.0000 Median : 0.0900 Median : 0.1700 Median : 0.1600
## Mean :-0.2728 Mean : 0.1307 Mean : 0.1519 Mean : 0.0690
## 3rd Qu.: 0.5500 3rd Qu.: 0.4250 3rd Qu.: 0.5300 3rd Qu.: 0.3825
## Max. : 1.5750 Max. : 2.1950 Max. : 1.6400 Max. : 1.0600
## data.333 data.334 data.335 data.336
## Min. :-1.04000 Min. :-0.63000 Min. :-1.31000 Min. :-1.725
## 1st Qu.:-0.33000 1st Qu.:-0.33500 1st Qu.:-0.32250 1st Qu.:-0.550
## Median : 0.05999 Median : 0.07250 Median : 0.05999 Median :-0.025
## Mean : 0.02900 Mean : 0.05025 Mean : 0.12525 Mean : 0.213
## 3rd Qu.: 0.27250 3rd Qu.: 0.28000 3rd Qu.: 0.46499 3rd Qu.: 0.625
## Max. : 1.64002 Max. : 0.95002 Max. : 2.34002 Max. : 4.035
## data.337 data.338 data.339 data.340
## Min. :-2.3100 Min. :-0.57000 Min. :-3.2400 Min. :-1.8200
## 1st Qu.:-0.7675 1st Qu.:-0.23250 1st Qu.:-1.1450 1st Qu.:-0.8550
## Median :-0.0750 Median : 0.00000 Median :-0.1950 Median :-0.2625
## Mean : 0.1785 Mean : 0.08575 Mean :-0.3888 Mean :-0.1775
## 3rd Qu.: 0.5750 3rd Qu.: 0.36498 3rd Qu.: 0.4675 3rd Qu.: 0.5825
## Max. : 4.1200 Max. : 1.58000 Max. : 1.6650 Max. : 1.6100
## data.341 data.342 data.343 data.344
## Min. :-0.95501 Min. :-0.8150 Min. :-1.13499 Min. :-0.93000
## 1st Qu.:-0.33251 1st Qu.:-0.3100 1st Qu.:-0.34249 1st Qu.:-0.26000
## Median :-0.06002 Median :-0.0200 Median : 0.08501 Median : 0.08999
## Mean :-0.03501 Mean : 0.0395 Mean : 0.02451 Mean : 0.05175
## 3rd Qu.: 0.19748 3rd Qu.: 0.3400 3rd Qu.: 0.34501 3rd Qu.: 0.48252
## Max. : 1.39497 Max. : 1.1850 Max. : 1.09501 Max. : 1.33000
## data.345 data.346 data.347 data.348
## Min. :-1.3150 Min. :-1.12499 Min. :-0.8775098 Min. :-0.98002
## 1st Qu.:-0.3425 1st Qu.:-0.28750 1st Qu.:-0.2900098 1st Qu.:-0.39502
## Median : 0.0700 Median :-0.02250 Median :-0.0425000 Median :-0.03001
## Mean : 0.1067 Mean :-0.04874 Mean :-0.0007613 Mean :-0.01427
## 3rd Qu.: 0.4375 3rd Qu.: 0.21501 3rd Qu.: 0.2449902 3rd Qu.: 0.33497
## Max. : 2.4200 Max. : 0.80501 Max. : 1.0524900 Max. : 1.15994
## data.349 data.350 data.351 data.352
## Min. :-1.51999 Min. :-1.3300 Min. :-1.4300 Min. :-1.77499
## 1st Qu.:-0.34374 1st Qu.:-0.2725 1st Qu.:-0.5375 1st Qu.:-0.51499
## Median : 0.03000 Median : 0.0650 Median :-0.0025 Median : 0.04500
## Mean : 0.02401 Mean : 0.1547 Mean :-0.0825 Mean : 0.01851
## 3rd Qu.: 0.49501 3rd Qu.: 0.6700 3rd Qu.: 0.1500 3rd Qu.: 0.58252
## Max. : 1.12001 Max. : 1.2500 Max. : 1.0700 Max. : 1.52501
## data.353 data.354 data.355 data.356
## Min. :-0.7150 Min. :-0.67000 Min. :-0.8500 Min. :-0.7350
## 1st Qu.:-0.1525 1st Qu.:-0.20000 1st Qu.:-0.3475 1st Qu.:-0.1925
## Median : 0.0750 Median : 0.01999 Median : 0.0150 Median :-0.0450
## Mean : 0.1027 Mean : 0.10075 Mean : 0.1080 Mean : 0.0390
## 3rd Qu.: 0.4550 3rd Qu.: 0.33500 3rd Qu.: 0.5162 3rd Qu.: 0.2888
## Max. : 1.1150 Max. : 1.00002 Max. : 1.4100 Max. : 0.8300
## data.357 data.358 data.359 data.360
## Min. :-0.93000 Min. :-1.260 Min. :-0.8650 Min. :-1.23502
## 1st Qu.:-0.24501 1st Qu.:-0.665 1st Qu.:-0.2775 1st Qu.:-0.35752
## Median : 0.01500 Median :-0.005 Median :-0.0300 Median : 0.00499
## Mean : 0.04612 Mean :-0.027 Mean :-0.0215 Mean :-0.09127
## 3rd Qu.: 0.35500 3rd Qu.: 0.460 3rd Qu.: 0.3250 3rd Qu.: 0.12998
## Max. : 0.93000 Max. : 1.830 Max. : 0.9150 Max. : 0.74998
## data.361 data.362 data.363 data.364
## Min. :-3.48502 Min. :-3.5875 Min. :-0.985000 Min. :-1.930000
## 1st Qu.:-0.28000 1st Qu.:-1.0450 1st Qu.:-0.325000 1st Qu.:-0.215000
## Median : 0.02250 Median :-0.2025 Median :-0.060010 Median : 0.045000
## Mean :-0.05138 Mean :-0.3749 Mean : 0.004999 Mean : 0.008748
## 3rd Qu.: 0.30750 3rd Qu.: 0.4175 3rd Qu.: 0.340000 3rd Qu.: 0.307500
## Max. : 0.97500 Max. : 2.2025 Max. : 1.275020 Max. : 0.920000
## data.365 data.366 data.367 data.368
## Min. :-1.04000 Min. :-1.13000 Min. :-0.930010 Min. :-0.66996
## 1st Qu.:-0.43250 1st Qu.:-0.26000 1st Qu.:-0.120010 1st Qu.:-0.20871
## Median : 0.01000 Median : 0.09499 Median :-0.004995 Median : 0.00000
## Mean :-0.02525 Mean : 0.22350 Mean : 0.071489 Mean : 0.01966
## 3rd Qu.: 0.35749 3rd Qu.: 0.54625 3rd Qu.: 0.304976 3rd Qu.: 0.25504
## Max. : 0.96000 Max. : 2.13000 Max. : 1.489990 Max. : 0.59004
## data.369 data.370 data.371 data.372
## Min. :-0.94000 Min. :-0.63750 Min. :-0.8350 Min. :-0.900
## 1st Qu.:-0.22250 1st Qu.:-0.16750 1st Qu.:-0.3338 1st Qu.:-0.500
## Median : 0.04500 Median :-0.00250 Median : 0.0000 Median : 0.005
## Mean : 0.01887 Mean : 0.02075 Mean : 0.1836 Mean : 0.123
## 3rd Qu.: 0.22251 3rd Qu.: 0.13500 3rd Qu.: 0.6175 3rd Qu.: 0.615
## Max. : 1.13000 Max. : 1.06250 Max. : 2.0050 Max. : 1.800
## data.373 data.374 data.375 data.376
## Min. :-2.2750 Min. :-0.5550 Min. :-1.17500 Min. :-0.560000
## 1st Qu.:-0.3875 1st Qu.:-0.0450 1st Qu.:-0.25500 1st Qu.:-0.250005
## Median : 0.0125 Median : 0.0500 Median : 0.02999 Median :-0.025000
## Mean : 0.1277 Mean : 0.2314 Mean : 0.07562 Mean :-0.004502
## 3rd Qu.: 0.6200 3rd Qu.: 0.2625 3rd Qu.: 0.34625 3rd Qu.: 0.102505
## Max. : 3.2150 Max. : 1.9250 Max. : 1.64500 Max. : 1.030000
## data.377 data.378 data.379 data.380
## Min. :-0.82002 Min. :-0.815020 Min. :-0.85000 Min. :-1.140
## 1st Qu.:-0.32502 1st Qu.:-0.305019 1st Qu.:-0.30000 1st Qu.:-0.305
## Median :-0.06252 Median :-0.015019 Median : 0.00000 Median : 0.000
## Mean :-0.02452 Mean :-0.008521 Mean :-0.02538 Mean :-0.031
## 3rd Qu.: 0.20497 3rd Qu.: 0.289980 3rd Qu.: 0.11500 3rd Qu.: 0.145
## Max. : 0.98998 Max. : 0.999981 Max. : 1.56000 Max. : 1.910
## data.381 data.382 data.383 data.384
## Min. :-3.5000 Min. :-1.67000 Min. :-1.12750 Min. :-1.6000
## 1st Qu.:-0.6125 1st Qu.:-0.34501 1st Qu.:-0.25500 1st Qu.:-0.3075
## Median : 0.0000 Median : 0.15250 Median :-0.00501 Median : 0.0200
## Mean :-0.2785 Mean : 0.09062 Mean :-0.02400 Mean :-0.0715
## 3rd Qu.: 0.2975 3rd Qu.: 0.63500 3rd Qu.: 0.25497 3rd Qu.: 0.2575
## Max. : 1.6000 Max. : 2.16000 Max. : 1.01250 Max. : 1.1000
## data.385 data.386 data.387 data.388
## Min. :-0.880000 Min. :-0.71500 Min. :-1.3700 Min. :-1.39002
## 1st Qu.:-0.417500 1st Qu.:-0.23000 1st Qu.:-0.2325 1st Qu.:-0.20000
## Median :-0.045000 Median :-0.05000 Median : 0.1425 Median : 0.01500
## Mean : 0.003623 Mean : 0.03275 Mean : 0.1755 Mean : 0.05375
## 3rd Qu.: 0.255005 3rd Qu.: 0.20000 3rd Qu.: 0.4050 3rd Qu.: 0.22750
## Max. : 1.540000 Max. : 1.53500 Max. : 2.3500 Max. : 1.59000
## data.389 data.390 data.391 data.392
## Min. :-1.12500 Min. :-2.5500 Min. :-3.9400 Min. :-2.2200
## 1st Qu.:-0.34750 1st Qu.:-0.7325 1st Qu.:-1.2475 1st Qu.:-0.5975
## Median : 0.00000 Median : 0.0000 Median :-0.1200 Median :-0.1650
## Mean :-0.05313 Mean :-0.0500 Mean :-0.1993 Mean :-0.0455
## 3rd Qu.: 0.30250 3rd Qu.: 0.4425 3rd Qu.: 0.7075 3rd Qu.: 0.7275
## Max. : 0.89498 Max. : 2.4200 Max. : 2.8700 Max. : 1.8700
## data.393 data.394 data.395 data.396
## Min. :-1.4200 Min. :-1.95998 Min. :-1.23000 Min. :-0.620010
## 1st Qu.:-0.5325 1st Qu.:-0.73998 1st Qu.:-0.41250 1st Qu.:-0.195010
## Median :-0.0750 Median : 0.00000 Median :-0.00500 Median : 0.005005
## Mean :-0.0285 Mean :-0.08261 Mean :-0.07263 Mean : 0.039114
## 3rd Qu.: 0.4113 3rd Qu.: 0.41127 3rd Qu.: 0.19500 3rd Qu.: 0.179990
## Max. : 1.6200 Max. : 2.67000 Max. : 1.44000 Max. : 1.429990
## data.397 data.398 data.399 data.400
## Min. :-1.8600 Min. :-2.160 Min. :-1.70501 Min. :-1.45000
## 1st Qu.:-0.3800 1st Qu.:-0.490 1st Qu.:-0.33126 1st Qu.:-0.43250
## Median : 0.0000 Median : 0.000 Median : 0.03501 Median : 0.01000
## Mean : 0.2432 Mean :-0.032 Mean :-0.03076 Mean :-0.09113
## 3rd Qu.: 0.3550 3rd Qu.: 0.510 3rd Qu.: 0.26749 3rd Qu.: 0.24500
## Max. : 4.6600 Max. : 1.790 Max. : 0.91499 Max. : 1.02000
## data.401 data.402 data.403 data.404
## Min. :-1.225000 Min. :-1.265000 Min. :-1.3300 Min. :-0.7000
## 1st Qu.:-0.410000 1st Qu.:-0.660015 1st Qu.:-0.2675 1st Qu.:-0.3850
## Median : 0.150000 Median : 0.119981 Median : 0.0700 Median : 0.0000
## Mean : 0.007749 Mean : 0.007749 Mean :-0.0230 Mean : 0.2672
## 3rd Qu.: 0.467500 3rd Qu.: 0.335000 3rd Qu.: 0.2950 3rd Qu.: 0.1375
## Max. : 1.685000 Max. : 1.585000 Max. : 1.9400 Max. : 4.4100
## data.405 data.406 data.407 data.408
## Min. :-1.7700 Min. :-2.5000 Min. :-1.910 Min. :-0.95000
## 1st Qu.:-0.4825 1st Qu.:-0.3500 1st Qu.:-0.640 1st Qu.:-0.10000
## Median : 0.0000 Median :-0.0200 Median :-0.050 Median : 0.04750
## Mean : 0.2605 Mean :-0.1248 Mean :-0.091 Mean : 0.08737
## 3rd Qu.: 0.8200 3rd Qu.: 0.3750 3rd Qu.: 0.460 3rd Qu.: 0.22000
## Max. : 3.0700 Max. : 2.1100 Max. : 2.750 Max. : 1.74000
## data.409 data.410 data.411 data.412
## Min. :-1.02499 Min. :-1.0850 Min. :-0.8300 Min. :-1.1000
## 1st Qu.:-0.33999 1st Qu.:-0.5300 1st Qu.:-0.2350 1st Qu.:-0.3362
## Median : 0.00000 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean : 0.04538 Mean : 0.1917 Mean : 0.0985 Mean : 0.3251
## 3rd Qu.: 0.29001 3rd Qu.: 0.4425 3rd Qu.: 0.2975 3rd Qu.: 0.6000
## Max. : 2.23501 Max. : 5.1250 Max. : 3.0700 Max. : 8.0400
## data.413 data.414 data.415 data.416
## Min. :-0.85499 Min. :-0.6900 Min. :-1.01000 Min. :-0.6250
## 1st Qu.:-0.11999 1st Qu.:-0.2225 1st Qu.:-0.29502 1st Qu.:-0.2150
## Median : 0.00000 Median : 0.0200 Median : 0.00000 Median : 0.0250
## Mean : 0.06376 Mean : 0.1529 Mean : 0.05636 Mean : 0.1201
## 3rd Qu.: 0.26251 3rd Qu.: 0.3863 3rd Qu.: 0.27873 3rd Qu.: 0.3075
## Max. : 2.55501 Max. : 2.7400 Max. : 2.65998 Max. : 1.5650
## data.417 data.418 data.419 data.420
## Min. :-1.0050 Min. :-1.42000 Min. :-1.49000 Min. :-0.88000
## 1st Qu.:-0.2250 1st Qu.:-0.49250 1st Qu.:-0.26500 1st Qu.:-0.26500
## Median : 0.0150 Median : 0.00000 Median :-0.02250 Median : 0.00000
## Mean : 0.0685 Mean :-0.02525 Mean :-0.05025 Mean : 0.02875
## 3rd Qu.: 0.4725 3rd Qu.: 0.41250 3rd Qu.: 0.23250 3rd Qu.: 0.27500
## Max. : 1.4450 Max. : 1.70000 Max. : 1.57000 Max. : 1.57000
## data.421 data.422 data.423 data.424
## Min. :-0.840000 Min. :-0.79002 Min. :-0.80998 Min. :-0.655000
## 1st Qu.:-0.245000 1st Qu.:-0.16877 1st Qu.:-0.14249 1st Qu.:-0.220000
## Median :-0.010000 Median :-0.00501 Median :-0.00499 Median :-0.035010
## Mean :-0.002501 Mean : 0.08498 Mean : 0.04102 Mean :-0.008127
## 3rd Qu.: 0.262500 3rd Qu.: 0.33750 3rd Qu.: 0.28002 3rd Qu.: 0.107505
## Max. : 1.470000 Max. : 1.88998 Max. : 1.27002 Max. : 1.625000
## data.425 data.426 data.427 data.428
## Min. :-1.56000 Min. :-1.33000 Min. :-0.9850 Min. :-1.14501
## 1st Qu.:-0.45750 1st Qu.:-0.29500 1st Qu.:-0.1875 1st Qu.:-0.59751
## Median : 0.00000 Median : 0.06500 Median : 0.0150 Median :-0.07502
## Mean : 0.06325 Mean : 0.04225 Mean : 0.1470 Mean :-0.06026
## 3rd Qu.: 0.27000 3rd Qu.: 0.27750 3rd Qu.: 0.3500 3rd Qu.: 0.21748
## Max. : 2.73000 Max. : 2.64000 Max. : 2.6450 Max. : 1.82499
## data.429 data.430 data.431 data.432
## Min. :-1.24000 Min. :-1.12000 Min. :-1.6500 Min. :-1.0300
## 1st Qu.:-0.50000 1st Qu.:-0.22000 1st Qu.:-0.4600 1st Qu.:-0.2200
## Median :-0.11002 Median : 0.00000 Median : 0.0350 Median : 0.0000
## Mean : 0.02625 Mean : 0.03012 Mean : 0.1301 Mean :-0.0285
## 3rd Qu.: 0.23000 3rd Qu.: 0.12500 3rd Qu.: 0.6750 3rd Qu.: 0.2075
## Max. : 2.65000 Max. : 2.84000 Max. : 3.0200 Max. : 0.6800
## data.433 data.434 data.435 data.436
## Min. :-0.88996 Min. :-0.7750 Min. :-0.9250 Min. :-1.03001
## 1st Qu.:-0.25746 1st Qu.:-0.3200 1st Qu.:-0.2938 1st Qu.:-0.37000
## Median : 0.06004 Median : 0.0400 Median : 0.0550 Median :-0.04001
## Mean :-0.01771 Mean : 0.1012 Mean : 0.0710 Mean :-0.09389
## 3rd Qu.: 0.18254 3rd Qu.: 0.3950 3rd Qu.: 0.3150 3rd Qu.: 0.14499
## Max. : 0.71004 Max. : 1.4950 Max. : 1.4150 Max. : 1.05999
## data.437 data.438 data.439 data.440
## Min. :-0.6550 Min. :-1.36000 Min. :-1.065000 Min. :-0.920000
## 1st Qu.:-0.3000 1st Qu.:-0.35750 1st Qu.:-0.478745 1st Qu.:-0.130000
## Median : 0.0000 Median : 0.00000 Median : 0.025000 Median : 0.000000
## Mean :-0.0215 Mean : 0.01587 Mean :-0.004377 Mean : 0.004624
## 3rd Qu.: 0.2250 3rd Qu.: 0.30500 3rd Qu.: 0.375000 3rd Qu.: 0.132500
## Max. : 0.8000 Max. : 1.61000 Max. : 1.425000 Max. : 1.470000
## data.441 data.442 data.443 data.444
## Min. :-1.51000 Min. :-1.66500 Min. :-1.58000 Min. :-1.8700
## 1st Qu.:-0.49000 1st Qu.:-0.18375 1st Qu.:-0.26625 1st Qu.:-0.3575
## Median :-0.01999 Median : 0.04500 Median : 0.05999 Median : 0.2750
## Mean : 0.04075 Mean : 0.02462 Mean : 0.13725 Mean : 0.1970
## 3rd Qu.: 0.68000 3rd Qu.: 0.22000 3rd Qu.: 0.48500 3rd Qu.: 0.7225
## Max. : 1.78000 Max. : 2.15500 Max. : 2.18000 Max. : 3.1300
## data.445 data.446 data.447 data.448
## Min. :-1.7600 Min. :-1.2900 Min. :-0.79500 Min. :-0.82001
## 1st Qu.:-0.4600 1st Qu.:-0.4000 1st Qu.:-0.24750 1st Qu.:-0.07001
## Median : 0.1900 Median :-0.0050 Median :-0.01252 Median : 0.02500
## Mean : 0.1347 Mean :-0.0270 Mean :-0.01413 Mean : 0.15549
## 3rd Qu.: 0.5625 3rd Qu.: 0.2112 3rd Qu.: 0.15250 3rd Qu.: 0.39999
## Max. : 3.2700 Max. : 1.4900 Max. : 1.03502 Max. : 1.20999
## data.449 data.450 data.451 data.452
## Min. :-0.9700 Min. :-1.5600 Min. :-0.92502 Min. :-0.61500
## 1st Qu.:-0.2325 1st Qu.:-0.4175 1st Qu.:-0.46250 1st Qu.:-0.37750
## Median : 0.1150 Median : 0.0000 Median :-0.06500 Median :-0.02749
## Mean : 0.1382 Mean :-0.0835 Mean :-0.06325 Mean : 0.02575
## 3rd Qu.: 0.3725 3rd Qu.: 0.3050 3rd Qu.: 0.21747 3rd Qu.: 0.32751
## Max. : 1.7900 Max. : 1.1700 Max. : 1.09500 Max. : 1.06500
## data.453 data.454 data.455 data.456
## Min. :-1.06500 Min. :-1.08501 Min. :-0.99500 Min. :-1.3100
## 1st Qu.:-0.30750 1st Qu.:-0.35001 1st Qu.:-0.29000 1st Qu.:-0.3625
## Median :-0.08999 Median :-0.01500 Median :-0.01000 Median :-0.0500
## Mean :-0.02875 Mean :-0.02301 Mean : 0.08125 Mean : 0.0250
## 3rd Qu.: 0.22500 3rd Qu.: 0.22750 3rd Qu.: 0.38501 3rd Qu.: 0.4125
## Max. : 1.06500 Max. : 1.51499 Max. : 1.65500 Max. : 1.4100
## data.457 data.458 data.459 data.460
## Min. :-1.430000 Min. :-0.95499 Min. :-0.73501 Min. :-1.260000
## 1st Qu.:-0.429985 1st Qu.:-0.22999 1st Qu.:-0.24752 1st Qu.:-0.415000
## Median : 0.004980 Median : 0.01250 Median : 0.01999 Median :-0.035000
## Mean :-0.008252 Mean :-0.02137 Mean : 0.01886 Mean :-0.008502
## 3rd Qu.: 0.357500 3rd Qu.: 0.24751 3rd Qu.: 0.23498 3rd Qu.: 0.490000
## Max. : 1.790000 Max. : 1.13501 Max. : 0.92499 Max. : 0.990000
## data.461 data.462 data.463 data.464
## Min. :-0.85000 Min. :-0.67000 Min. :-0.755010 Min. :-0.88501
## 1st Qu.:-0.33500 1st Qu.:-0.21625 1st Qu.:-0.260015 1st Qu.:-0.28251
## Median :-0.03000 Median : 0.00000 Median : 0.010000 Median :-0.08000
## Mean :-0.02188 Mean :-0.01375 Mean : 0.006489 Mean :-0.01001
## 3rd Qu.: 0.27001 3rd Qu.: 0.19250 3rd Qu.: 0.274990 3rd Qu.: 0.23749
## Max. : 0.95000 Max. : 0.87000 Max. : 1.284971 Max. : 1.36499
## data.465 data.466 data.467 data.468
## Min. :-0.9500 Min. :-1.02000 Min. :-1.10000 Min. :-1.06500
## 1st Qu.:-0.2225 1st Qu.:-0.21250 1st Qu.:-0.33750 1st Qu.:-0.28250
## Median : 0.0050 Median : 0.00000 Median :-0.02500 Median :-0.01000
## Mean : 0.0920 Mean : 0.01175 Mean :-0.05613 Mean : 0.02875
## 3rd Qu.: 0.2925 3rd Qu.: 0.23000 3rd Qu.: 0.24748 3rd Qu.: 0.35749
## Max. : 1.2250 Max. : 0.93000 Max. : 1.26000 Max. : 0.93500
## data.469 data.470 data.471 data.472
## Min. :-1.04000 Min. :-1.07000 Min. :-6.12004 Min. :-6.10002
## 1st Qu.:-0.22750 1st Qu.:-0.29250 1st Qu.:-0.38002 1st Qu.:-0.44127
## Median : 0.00500 Median : 0.00000 Median : 0.06498 Median : 0.04998
## Mean : 0.01925 Mean : 0.05625 Mean :-0.11302 Mean :-0.24927
## 3rd Qu.: 0.33999 3rd Qu.: 0.42250 3rd Qu.: 0.59998 3rd Qu.: 0.58247
## Max. : 0.78000 Max. : 1.48000 Max. : 2.51998 Max. : 2.55998
## data.473 data.474 data.475 data.476
## Min. :-1.879980 Min. :-1.31000 Min. :-0.9500 Min. :-1.1200
## 1st Qu.:-0.184985 1st Qu.:-0.34001 1st Qu.:-0.2675 1st Qu.:-0.1150
## Median : 0.000000 Median : 0.00000 Median : 0.1250 Median : 0.1725
## Mean :-0.008109 Mean : 0.01937 Mean : 0.0790 Mean : 0.0440
## 3rd Qu.: 0.172534 3rd Qu.: 0.39500 3rd Qu.: 0.4475 3rd Qu.: 0.3225
## Max. : 1.510020 Max. : 2.82000 Max. : 1.2200 Max. : 0.8800
## data.477 data.478 data.479 data.480
## Min. :-1.0800 Min. :-4.420 Min. :-0.795000 Min. :-1.30000
## 1st Qu.:-0.1825 1st Qu.:-0.380 1st Qu.:-0.295000 1st Qu.:-0.29000
## Median : 0.0675 Median :-0.005 Median : 0.000000 Median : 0.00000
## Mean : 0.0420 Mean :-0.098 Mean :-0.009751 Mean :-0.05475
## 3rd Qu.: 0.2700 3rd Qu.: 0.445 3rd Qu.: 0.314990 3rd Qu.: 0.31500
## Max. : 0.9000 Max. : 1.030 Max. : 0.935000 Max. : 0.73000
## data.481 data.482 data.483 data.484
## Min. :-2.54500 Min. :-0.6600 Min. :-1.04000 Min. :-0.96000
## 1st Qu.:-0.30250 1st Qu.:-0.0825 1st Qu.:-0.24250 1st Qu.:-0.29500
## Median : 0.10000 Median : 0.1350 Median : 0.01500 Median :-0.07002
## Mean : 0.07312 Mean : 0.1275 Mean :-0.01525 Mean :-0.06225
## 3rd Qu.: 0.83250 3rd Qu.: 0.4300 3rd Qu.: 0.21000 3rd Qu.: 0.21000
## Max. : 2.47000 Max. : 0.8700 Max. : 0.97000 Max. : 1.06000
## data.485 data.486 data.487 data.488
## Min. :-1.5600 Min. :-1.30500 Min. :-1.0750 Min. :-1.37000
## 1st Qu.:-0.2263 1st Qu.:-0.30000 1st Qu.:-0.3250 1st Qu.:-0.24000
## Median :-0.0050 Median : 0.06500 Median :-0.0250 Median : 0.00000
## Mean :-0.1045 Mean : 0.03775 Mean :-0.0125 Mean : 0.08675
## 3rd Qu.: 0.2850 3rd Qu.: 0.39500 3rd Qu.: 0.3775 3rd Qu.: 0.48000
## Max. : 0.8000 Max. : 1.05500 Max. : 1.1100 Max. : 1.58500
## data.489 data.490 data.491 data.492
## Min. :-1.04000 Min. :-1.9600 Min. :-1.2750 Min. :-0.88000
## 1st Qu.:-0.31625 1st Qu.:-0.3425 1st Qu.:-0.2975 1st Qu.:-0.20250
## Median :-0.00751 Median : 0.0000 Median : 0.1700 Median : 0.01501
## Mean : 0.09762 Mean :-0.0125 Mean : 0.1687 Mean : 0.02200
## 3rd Qu.: 0.49500 3rd Qu.: 0.2325 3rd Qu.: 0.5400 3rd Qu.: 0.26250
## Max. : 1.55500 Max. : 1.4000 Max. : 2.0350 Max. : 1.17000
## data.493 data.494 data.495 data.496
## Min. :-1.06500 Min. :-0.990000 Min. :-1.31501 Min. :-1.4800
## 1st Qu.:-0.17500 1st Qu.:-0.270000 1st Qu.:-0.40251 1st Qu.:-0.4225
## Median : 0.02000 Median : 0.000000 Median :-0.03001 Median : 0.1550
## Mean : 0.02925 Mean :-0.005501 Mean :-0.08939 Mean : 0.1251
## 3rd Qu.: 0.37500 3rd Qu.: 0.332500 3rd Qu.: 0.28747 3rd Qu.: 0.5875
## Max. : 0.83500 Max. : 0.800000 Max. : 1.34999 Max. : 2.1200
## data.497 data.498 data.499 data.500
## Min. :-0.8150 Min. :-0.75250 Min. :-1.35002 Min. :-1.40250
## 1st Qu.:-0.1725 1st Qu.:-0.19000 1st Qu.:-0.27002 1st Qu.:-0.26500
## Median : 0.0950 Median : 0.05750 Median : 0.04998 Median : 0.06750
## Mean : 0.1065 Mean : 0.08425 Mean : 0.02473 Mean : 0.03975
## 3rd Qu.: 0.3825 3rd Qu.: 0.31751 3rd Qu.: 0.27998 3rd Qu.: 0.33250
## Max. : 1.4400 Max. : 1.30750 Max. : 1.20998 Max. : 1.23250
## data.501 data.502 data.503 data.504
## Min. :-1.48000 Min. :-1.41000 Min. :-1.3150 Min. :-0.85501
## 1st Qu.:-0.27502 1st Qu.:-0.30500 1st Qu.:-0.2275 1st Qu.:-0.24000
## Median : 0.02251 Median : 0.01001 Median : 0.1550 Median : 0.04999
## Mean : 0.02150 Mean :-0.02463 Mean : 0.0585 Mean : 0.08461
## 3rd Qu.: 0.28250 3rd Qu.: 0.24500 3rd Qu.: 0.3900 3rd Qu.: 0.37749
## Max. : 1.12000 Max. : 1.00000 Max. : 0.9900 Max. : 1.20499
## data.505 data.506 data.507 data.508
## Min. :-1.1050200 Min. :-1.09500 Min. :-0.92500 Min. :-0.71001
## 1st Qu.:-0.2300488 1st Qu.:-0.32000 1st Qu.:-0.26250 1st Qu.:-0.27501
## Median :-0.0000098 Median : 0.01500 Median : 0.04000 Median : 0.04499
## Mean : 0.0052290 Mean :-0.02325 Mean : 0.05925 Mean : 0.03174
## 3rd Qu.: 0.3224658 3rd Qu.: 0.29750 3rd Qu.: 0.36750 3rd Qu.: 0.29999
## Max. : 0.8549805 Max. : 1.04500 Max. : 0.90500 Max. : 0.83999
## data.509 data.510 data.511 data.512
## Min. :-0.98999 Min. :-0.74002 Min. :-0.8300 Min. :-1.12500
## 1st Qu.:-0.51249 1st Qu.:-0.19255 1st Qu.:-0.1625 1st Qu.:-0.26500
## Median : 0.00000 Median :-0.00501 Median :-0.0300 Median :-0.05502
## Mean :-0.04374 Mean : 0.00648 Mean :-0.0640 Mean :-0.02500
## 3rd Qu.: 0.36001 3rd Qu.: 0.26248 3rd Qu.: 0.1300 3rd Qu.: 0.18625
## Max. : 1.14001 Max. : 0.53998 Max. : 0.5200 Max. : 0.87502
## data.513 data.514 data.515 data.516
## Min. :-0.85999 Min. :-1.62000 Min. :-3.6200 Min. :-3.8000
## 1st Qu.:-0.31499 1st Qu.:-0.15500 1st Qu.:-1.5950 1st Qu.:-1.8625
## Median :-0.01000 Median : 0.04000 Median : 0.0000 Median :-0.1300
## Mean : 0.01388 Mean : 0.04975 Mean :-0.1792 Mean :-0.4622
## 3rd Qu.: 0.17001 3rd Qu.: 0.28251 3rd Qu.: 1.1675 3rd Qu.: 0.7475
## Max. : 3.61001 Max. : 1.44000 Max. : 3.3450 Max. : 1.8400
## data.517 data.518 data.519 data.520
## Min. :-5.2150 Min. :-1.069961 Min. :-1.7400 Min. :-0.770
## 1st Qu.:-0.5450 1st Qu.:-0.192480 1st Qu.:-0.5925 1st Qu.:-0.160
## Median :-0.0250 Median : 0.000000 Median :-0.0100 Median : 0.000
## Mean :-0.3948 Mean :-0.005109 Mean : 0.3634 Mean : 0.295
## 3rd Qu.: 0.2800 3rd Qu.: 0.247520 3rd Qu.: 0.8650 3rd Qu.: 0.215
## Max. : 0.9250 Max. : 1.580019 Max. : 4.8000 Max. : 4.110
## data.521 data.522 data.523 data.524
## Min. :-1.040000 Min. :-1.374990 Min. :-1.16998 Min. :-1.51000
## 1st Qu.:-0.200000 1st Qu.:-0.124990 1st Qu.:-0.26248 1st Qu.:-0.45750
## Median : 0.000000 Median : 0.000000 Median :-0.04998 Median :-0.02002
## Mean : 0.002874 Mean :-0.006994 Mean :-0.05998 Mean :-0.11850
## 3rd Qu.: 0.235000 3rd Qu.: 0.063760 3rd Qu.: 0.19500 3rd Qu.: 0.25000
## Max. : 0.640000 Max. : 1.495010 Max. : 1.19002 Max. : 0.67000
## data.525 data.526 data.527 data.528
## Min. :-1.889981 Min. :-1.59998 Min. :-0.8250 Min. :-1.18499
## 1st Qu.:-0.337481 1st Qu.:-0.36498 1st Qu.:-0.2100 1st Qu.:-0.37999
## Median : 0.140029 Median : 0.12002 Median :-0.0025 Median :-0.07999
## Mean : 0.007018 Mean :-0.05298 Mean : 0.1179 Mean :-0.06324
## 3rd Qu.: 0.495020 3rd Qu.: 0.36252 3rd Qu.: 0.4400 3rd Qu.: 0.36001
## Max. : 1.110019 Max. : 0.85002 Max. : 1.7550 Max. : 1.06501
## data.529 data.530 data.531 data.532
## Min. :-1.5100 Min. :-1.31002 Min. :-1.79500 Min. :-1.25000
## 1st Qu.:-0.5750 1st Qu.:-0.57500 1st Qu.:-0.19750 1st Qu.:-0.47750
## Median :-0.1500 Median :-0.03000 Median :-0.00500 Median :-0.07999
## Mean :-0.1528 Mean :-0.03263 Mean :-0.01613 Mean :-0.10338
## 3rd Qu.: 0.1587 3rd Qu.: 0.36751 3rd Qu.: 0.21750 3rd Qu.: 0.24000
## Max. : 0.9200 Max. : 1.30000 Max. : 0.78500 Max. : 1.06000
## data.533 data.534 data.535 data.536
## Min. :-1.11000 Min. :-0.93498 Min. :-0.93998 Min. :-0.89998
## 1st Qu.:-0.13002 1st Qu.:-0.28748 1st Qu.:-0.32998 1st Qu.:-0.43000
## Median :-0.02500 Median :-0.01998 Median :-0.06748 Median :-0.01500
## Mean :-0.02388 Mean : 0.01102 Mean :-0.06523 Mean :-0.02175
## 3rd Qu.: 0.15000 3rd Qu.: 0.33002 3rd Qu.: 0.21252 3rd Qu.: 0.15500
## Max. : 0.90002 Max. : 1.05502 Max. : 1.34002 Max. : 1.26000
## data.537 data.538 data.539 data.540
## Min. :-1.12000 Min. :-1.149990 Min. :-0.88000 Min. :-0.780
## 1st Qu.:-0.26250 1st Qu.:-0.329990 1st Qu.:-0.38249 1st Qu.:-0.180
## Median : 0.00000 Median : 0.005005 Median :-0.02500 Median : 0.025
## Mean : 0.01437 Mean : 0.012758 Mean :-0.04463 Mean : 0.145
## 3rd Qu.: 0.23250 3rd Qu.: 0.312510 3rd Qu.: 0.22000 3rd Qu.: 0.390
## Max. : 1.30996 Max. : 1.070010 Max. : 1.14000 Max. : 1.230
## data.541 data.542 data.543 data.544
## Min. :-0.78500 Min. :-0.45000 Min. :-1.07002 Min. :-0.60500
## 1st Qu.:-0.28750 1st Qu.:-0.24500 1st Qu.:-0.23250 1st Qu.:-0.12753
## Median :-0.01000 Median :-0.05000 Median :-0.00499 Median : 0.03999
## Mean :-0.07525 Mean :-0.02538 Mean :-0.02450 Mean : 0.06037
## 3rd Qu.: 0.11500 3rd Qu.: 0.10750 3rd Qu.: 0.19625 3rd Qu.: 0.16750
## Max. : 0.65000 Max. : 0.73000 Max. : 0.81000 Max. : 0.84500
## data.545 data.546 data.547 data.548
## Min. :-0.7100 Min. :-0.68000 Min. :-1.11998 Min. :-0.880019
## 1st Qu.:-0.2125 1st Qu.:-0.15000 1st Qu.:-0.23248 1st Qu.:-0.302524
## Median : 0.0350 Median : 0.00000 Median :-0.01998 Median :-0.040010
## Mean : 0.1495 Mean : 0.07925 Mean :-0.01898 Mean :-0.009021
## 3rd Qu.: 0.5350 3rd Qu.: 0.35250 3rd Qu.: 0.28502 3rd Qu.: 0.239981
## Max. : 1.0000 Max. : 1.04000 Max. : 1.06502 Max. : 0.859981
## data.549 data.550 data.551 data.552
## Min. :-1.6800 Min. :-0.64000 Min. :-1.0050 Min. :-1.93000
## 1st Qu.:-0.4062 1st Qu.:-0.23250 1st Qu.:-0.3050 1st Qu.:-0.51000
## Median :-0.0600 Median :-0.04750 Median :-0.0950 Median :-0.09500
## Mean :-0.0960 Mean :-0.05675 Mean :-0.0745 Mean :-0.07575
## 3rd Qu.: 0.2475 3rd Qu.: 0.08500 3rd Qu.: 0.0675 3rd Qu.: 0.43250
## Max. : 1.2800 Max. : 0.98000 Max. : 1.1750 Max. : 1.22998
## data.553 data.554 data.555 data.556
## Min. :-1.5600 Min. :-1.33498 Min. :-0.545000 Min. :-1.12499
## 1st Qu.:-0.6075 1st Qu.:-0.32750 1st Qu.:-0.150000 1st Qu.:-0.35999
## Median :-0.1850 Median :-0.07501 Median :-0.060000 Median :-0.09999
## Mean :-0.2304 Mean :-0.02463 Mean : 0.007498 Mean :-0.08362
## 3rd Qu.: 0.1725 3rd Qu.: 0.38250 3rd Qu.: 0.105000 3rd Qu.: 0.19751
## Max. : 1.1400 Max. : 1.07500 Max. : 0.895000 Max. : 1.37001
## data.557 data.558 data.559 data.560
## Min. :-1.4850 Min. :-0.6800 Min. :-0.7500 Min. :-0.6900
## 1st Qu.:-0.3725 1st Qu.:-0.2325 1st Qu.:-0.2875 1st Qu.:-0.2600
## Median : 0.0000 Median :-0.0750 Median : 0.0200 Median : 0.0000
## Mean :-0.0670 Mean : 0.0190 Mean : 0.0410 Mean :-0.0645
## 3rd Qu.: 0.2675 3rd Qu.: 0.2950 3rd Qu.: 0.3275 3rd Qu.: 0.2025
## Max. : 0.6250 Max. : 0.6600 Max. : 0.7800 Max. : 0.4200
## data.561 data.562 data.563 data.564
## Min. :-1.68501 Min. :-1.7500 Min. :-0.53000 Min. :-1.01001
## 1st Qu.:-0.01625 1st Qu.:-0.4625 1st Qu.:-0.15250 1st Qu.:-0.20501
## Median : 0.00000 Median :-0.0500 Median :-0.00501 Median : 0.00000
## Mean :-0.05850 Mean :-0.1260 Mean : 0.05375 Mean :-0.02101
## 3rd Qu.: 0.00000 3rd Qu.: 0.2500 3rd Qu.: 0.30250 3rd Qu.: 0.22499
## Max. : 1.66499 Max. : 1.0500 Max. : 0.87000 Max. : 0.93999
## data.565 data.566 data.567 data.568
## Min. :-2.0500100 Min. :-1.5350 Min. :-1.06002 Min. :-0.8700
## 1st Qu.:-0.6175098 1st Qu.:-0.3675 1st Qu.:-0.22500 1st Qu.:-0.1325
## Median :-0.0000098 Median : 0.1175 Median : 0.09500 Median : 0.1200
## Mean :-0.0440113 Mean : 0.0825 Mean : 0.09012 Mean : 0.1462
## 3rd Qu.: 0.4749902 3rd Qu.: 0.6825 3rd Qu.: 0.55000 3rd Qu.: 0.5250
## Max. : 1.4599900 Max. : 1.1850 Max. : 1.24000 Max. : 1.1800
## data.569 data.570 data.571 data.572
## Min. :-0.6700 Min. :-0.60502 Min. :-0.855000 Min. :-1.020
## 1st Qu.:-0.1550 1st Qu.:-0.06250 1st Qu.:-0.282500 1st Qu.:-0.180
## Median : 0.0950 Median : 0.04500 Median :-0.017500 Median : 0.190
## Mean : 0.0810 Mean : 0.07662 Mean :-0.004627 Mean : 0.101
## 3rd Qu.: 0.3162 3rd Qu.: 0.25625 3rd Qu.: 0.192500 3rd Qu.: 0.430
## Max. : 0.7600 Max. : 0.75502 Max. : 1.365020 Max. : 0.740
## data.573 data.574 data.575 data.576
## Min. :-1.10996 Min. :-0.9400 Min. :-1.70000 Min. :-0.800000
## 1st Qu.:-0.21996 1st Qu.:-0.1550 1st Qu.:-0.18250 1st Qu.:-0.232500
## Median : 0.05504 Median : 0.0625 Median : 0.01500 Median : 0.059990
## Mean : 0.03554 Mean : 0.0320 Mean : 0.07925 Mean : 0.006749
## 3rd Qu.: 0.33754 3rd Qu.: 0.2775 3rd Qu.: 0.39750 3rd Qu.: 0.242500
## Max. : 0.70004 Max. : 0.6600 Max. : 1.38000 Max. : 0.960000
## data.577 data.578 data.579 data.580
## Min. :-0.93498 Min. :-1.73000 Min. :-0.75002 Min. :-1.375000
## 1st Qu.:-0.16248 1st Qu.:-0.37250 1st Qu.:-0.36255 1st Qu.:-0.260015
## Median : 0.03002 Median : 0.03500 Median : 0.04497 Median : 0.022481
## Mean : 0.16177 Mean : 0.01925 Mean :-0.02752 Mean :-0.006252
## 3rd Qu.: 0.60751 3rd Qu.: 0.39500 3rd Qu.: 0.31249 3rd Qu.: 0.347500
## Max. : 1.40502 Max. : 1.19000 Max. : 0.67998 Max. : 0.765000
## data.581 data.582 data.583 data.584
## Min. :-0.54500 Min. :-0.510000 Min. :-0.87500 Min. :-0.64000
## 1st Qu.:-0.18000 1st Qu.:-0.177500 1st Qu.:-0.16750 1st Qu.:-0.14250
## Median :-0.01750 Median :-0.010000 Median :-0.01001 Median : 0.00000
## Mean :-0.02238 Mean :-0.004502 Mean : 0.05975 Mean : 0.07537
## 3rd Qu.: 0.12000 3rd Qu.: 0.195000 3rd Qu.: 0.32750 3rd Qu.: 0.32249
## Max. : 0.77500 Max. : 0.440000 Max. : 1.14500 Max. : 0.89000
## data.585 data.586 data.587 data.588
## Min. :-0.647500 Min. :-0.68000 Min. :-0.59499 Min. :-0.50000
## 1st Qu.:-0.155000 1st Qu.:-0.22250 1st Qu.:-0.17749 1st Qu.:-0.25000
## Median :-0.017490 Median : 0.00000 Median :-0.01499 Median : 0.09499
## Mean : 0.004436 Mean : 0.03375 Mean : 0.03151 Mean : 0.08200
## 3rd Qu.: 0.120000 3rd Qu.: 0.18250 3rd Qu.: 0.13751 3rd Qu.: 0.31125
## Max. : 0.822500 Max. : 1.09998 Max. : 1.13501 Max. : 1.65002
## data.589 data.590 data.591 data.592
## Min. :-0.69002 Min. :-0.54500 Min. :-0.8800 Min. :-0.56000
## 1st Qu.:-0.22751 1st Qu.:-0.18750 1st Qu.:-0.2150 1st Qu.:-0.18750
## Median : 0.00000 Median :-0.00250 Median : 0.2700 Median : 0.00000
## Mean : 0.07787 Mean : 0.02175 Mean : 0.1822 Mean : 0.09937
## 3rd Qu.: 0.32750 3rd Qu.: 0.17750 3rd Qu.: 0.5400 3rd Qu.: 0.14000
## Max. : 1.42002 Max. : 0.90000 Max. : 1.3500 Max. : 1.82002
## data.593 data.594 data.595 data.596
## Min. :-1.14248 Min. :-1.6150 Min. :-1.45000 Min. :-1.1050
## 1st Qu.:-0.16998 1st Qu.:-0.3325 1st Qu.:-0.28501 1st Qu.:-0.0750
## Median : 0.05252 Median : 0.0225 Median : 0.02500 Median : 0.0000
## Mean : 0.11177 Mean : 0.1736 Mean : 0.06375 Mean : 0.1207
## 3rd Qu.: 0.57252 3rd Qu.: 0.8375 3rd Qu.: 0.51750 3rd Qu.: 0.2775
## Max. : 0.99754 Max. : 1.5650 Max. : 1.42000 Max. : 1.6150
## data.597 data.598 data.599 data.600
## Min. :-1.055000 Min. :-1.00000 Min. :-0.9100 Min. :-0.8600
## 1st Qu.:-0.390000 1st Qu.:-0.27126 1st Qu.:-0.4275 1st Qu.:-0.1400
## Median : 0.042490 Median : 0.01500 Median : 0.0100 Median : 0.0550
## Mean :-0.009002 Mean : 0.06437 Mean : 0.0530 Mean : 0.1104
## 3rd Qu.: 0.285000 3rd Qu.: 0.24747 3rd Qu.: 0.4325 3rd Qu.: 0.2450
## Max. : 1.795000 Max. : 2.32000 Max. : 2.0100 Max. : 1.4400
## data.601 data.602 data.603 data.604
## Min. :-2.02998 Min. :-0.85001 Min. :-0.720000 Min. :-2.10000
## 1st Qu.:-0.61748 1st Qu.:-0.37250 1st Qu.:-0.265010 1st Qu.:-0.93000
## Median : 0.25502 Median : 0.06998 Median : 0.020000 Median : 0.25998
## Mean : 0.02889 Mean : 0.04861 Mean : 0.002249 Mean :-0.05375
## 3rd Qu.: 0.80252 3rd Qu.: 0.46749 3rd Qu.: 0.258745 3rd Qu.: 0.76250
## Max. : 1.40002 Max. : 0.92999 Max. : 0.910000 Max. : 1.17000
## data.605 data.606 data.607 data.608
## Min. :-0.670000 Min. :-2.0250 Min. :-2.3700 Min. :-1.03001
## 1st Qu.:-0.182500 1st Qu.:-0.3425 1st Qu.:-0.2825 1st Qu.:-0.18001
## Median : 0.000000 Median : 0.1100 Median : 0.0850 Median : 0.01499
## Mean : 0.004498 Mean : 0.1134 Mean : 0.1092 Mean : 0.05836
## 3rd Qu.: 0.137505 3rd Qu.: 0.5600 3rd Qu.: 0.5437 3rd Qu.: 0.30249
## Max. : 0.535000 Max. : 2.4700 Max. : 1.9150 Max. : 1.23999
## data.609 data.610 data.611 data.612
## Min. :-1.39000 Min. :-1.38501 Min. :-1.20001 Min. :-0.85000
## 1st Qu.:-0.40500 1st Qu.:-0.24251 1st Qu.:-0.29001 1st Qu.:-0.22000
## Median : 0.00000 Median : 0.01250 Median : 0.05249 Median : 0.01000
## Mean :-0.03175 Mean : 0.04149 Mean :-0.01426 Mean : 0.01075
## 3rd Qu.: 0.29750 3rd Qu.: 0.39750 3rd Qu.: 0.23749 3rd Qu.: 0.25250
## Max. : 0.96000 Max. : 1.38499 Max. : 0.64999 Max. : 0.73500
## data.613 data.614 data.615 data.616
## Min. :-1.2400 Min. :-1.5850 Min. :-1.45000 Min. :-1.61002
## 1st Qu.:-0.1950 1st Qu.:-0.2800 1st Qu.:-0.25500 1st Qu.:-0.29252
## Median : 0.0950 Median : 0.0000 Median :-0.00250 Median : 0.05499
## Mean : 0.1080 Mean :-0.0495 Mean : 0.03825 Mean : 0.06398
## 3rd Qu.: 0.4225 3rd Qu.: 0.2900 3rd Qu.: 0.31750 3rd Qu.: 0.42497
## Max. : 1.1300 Max. : 0.8750 Max. : 0.90000 Max. : 1.16998
## data.617 data.618 data.619 data.620
## Min. :-0.669971 Min. :-0.6100 Min. :-1.01498 Min. :-1.04000
## 1st Qu.:-0.209956 1st Qu.:-0.2275 1st Qu.:-0.27750 1st Qu.:-0.41250
## Median :-0.004980 Median : 0.0000 Median :-0.03750 Median : 0.04000
## Mean : 0.007401 Mean : 0.0190 Mean :-0.02075 Mean : 0.05825
## 3rd Qu.: 0.237529 3rd Qu.: 0.3225 3rd Qu.: 0.23750 3rd Qu.: 0.51000
## Max. : 1.040029 Max. : 0.7400 Max. : 0.91500 Max. : 1.35000
## data.621 data.622 data.623 data.624
## Min. :-1.47000 Min. :-1.2100 Min. :-1.6600 Min. :-2.2925
## 1st Qu.:-0.46875 1st Qu.:-0.2975 1st Qu.:-0.3525 1st Qu.:-0.3050
## Median :-0.01500 Median : 0.0250 Median :-0.0325 Median : 0.0000
## Mean :-0.06825 Mean :-0.0665 Mean : 0.0315 Mean :-0.0635
## 3rd Qu.: 0.45250 3rd Qu.: 0.2250 3rd Qu.: 0.4075 3rd Qu.: 0.3475
## Max. : 0.92000 Max. : 0.7400 Max. : 1.8500 Max. : 1.4375
## data.625 data.626 data.627 data.628
## Min. :-1.40000 Min. :-1.0550 Min. :-1.44000 Min. :-1.80500
## 1st Qu.:-0.65250 1st Qu.:-0.2075 1st Qu.:-0.23250 1st Qu.:-0.34001
## Median : 0.09000 Median :-0.0250 Median :-0.01002 Median :-0.05002
## Mean :-0.05275 Mean :-0.0310 Mean :-0.03250 Mean :-0.07050
## 3rd Qu.: 0.32125 3rd Qu.: 0.2575 3rd Qu.: 0.25500 3rd Qu.: 0.19750
## Max. : 1.44002 Max. : 1.1150 Max. : 0.69000 Max. : 0.88500
## data.629 data.630 data.631 data.632
## Min. :-0.61998 Min. :-0.95500 Min. :-0.93000 Min. :-0.68999
## 1st Qu.:-0.25998 1st Qu.:-0.12500 1st Qu.:-0.32750 1st Qu.:-0.23249
## Median : 0.01501 Median : 0.00500 Median :-0.04000 Median : 0.01501
## Mean :-0.03298 Mean : 0.06075 Mean : 0.04625 Mean : 0.05426
## 3rd Qu.: 0.15252 3rd Qu.: 0.36250 3rd Qu.: 0.39250 3rd Qu.: 0.32001
## Max. : 0.72502 Max. : 0.74000 Max. : 1.20000 Max. : 1.01001
## data.633 data.634 data.635 data.636
## Min. :-0.95000 Min. :-1.50000 Min. :-1.22000 Min. :-0.97500
## 1st Qu.:-0.31125 1st Qu.:-0.49750 1st Qu.:-0.30250 1st Qu.:-0.33501
## Median :-0.04501 Median :-0.09502 Median :-0.05502 Median :-0.04750
## Mean :-0.04400 Mean :-0.14775 Mean :-0.06450 Mean :-0.07488
## 3rd Qu.: 0.18000 3rd Qu.: 0.16374 3rd Qu.: 0.30250 3rd Qu.: 0.13499
## Max. : 0.77000 Max. : 0.91000 Max. : 0.79000 Max. : 0.98500
## data.637 data.638 data.639 data.640
## Min. :-0.93001 Min. :-0.94000 Min. :-1.02000 Min. :-1.015000
## 1st Qu.:-0.32501 1st Qu.:-0.37000 1st Qu.:-0.46250 1st Qu.:-0.432500
## Median : 0.00000 Median :-0.07499 Median : 0.05000 Median : 0.000000
## Mean :-0.02539 Mean :-0.01675 Mean : 0.07125 Mean :-0.008001
## 3rd Qu.: 0.16999 3rd Qu.: 0.42498 3rd Qu.: 0.46000 3rd Qu.: 0.372500
## Max. : 0.92499 Max. : 1.08000 Max. : 1.59000 Max. : 1.665000
## data.641 data.642 data.643 data.644
## Min. :-0.92500 Min. :-0.9350 Min. :-1.5800 Min. :-1.6600
## 1st Qu.:-0.33001 1st Qu.:-0.3900 1st Qu.:-0.3250 1st Qu.:-0.4200
## Median :-0.00500 Median :-0.0050 Median :-0.0200 Median :-0.0100
## Mean : 0.09675 Mean : 0.0160 Mean :-0.0385 Mean :-0.0625
## 3rd Qu.: 0.44249 3rd Qu.: 0.2925 3rd Qu.: 0.3600 3rd Qu.: 0.3050
## Max. : 2.06500 Max. : 1.6900 Max. : 0.8400 Max. : 1.0600
## data.645 data.646 data.647 data.648
## Min. :-0.960 Min. :-1.23500 Min. :-0.94500 Min. :-1.31000
## 1st Qu.:-0.165 1st Qu.:-0.25500 1st Qu.:-0.27500 1st Qu.:-0.41000
## Median : 0.020 Median : 0.00000 Median :-0.01000 Median :-0.05500
## Mean : 0.093 Mean : 0.06425 Mean :-0.01375 Mean :-0.09825
## 3rd Qu.: 0.370 3rd Qu.: 0.36499 3rd Qu.: 0.20250 3rd Qu.: 0.23250
## Max. : 1.000 Max. : 1.54502 Max. : 1.34502 Max. : 0.72000
## data.649 data.650 data.651 data.652
## Min. :-1.050000 Min. :-1.27500 Min. :-0.8100 Min. :-1.0650
## 1st Qu.:-0.362500 1st Qu.:-0.18750 1st Qu.:-0.3025 1st Qu.:-0.4175
## Median : 0.030000 Median : 0.05500 Median : 0.0000 Median :-0.0025
## Mean :-0.005751 Mean : 0.02825 Mean :-0.0145 Mean :-0.0120
## 3rd Qu.: 0.300000 3rd Qu.: 0.31375 3rd Qu.: 0.2425 3rd Qu.: 0.3575
## Max. : 0.940000 Max. : 0.88500 Max. : 0.9200 Max. : 1.0550
## data.653 data.654 data.655 data.656
## Min. :-0.9950 Min. :-1.11000 Min. :-2.07500 Min. :-0.8900
## 1st Qu.:-0.6250 1st Qu.:-0.20500 1st Qu.:-0.22000 1st Qu.:-0.1700
## Median :-0.1650 Median :-0.00500 Median : 0.01998 Median : 0.0600
## Mean :-0.1193 Mean :-0.04325 Mean : 0.01150 Mean : 0.1355
## 3rd Qu.: 0.3475 3rd Qu.: 0.16875 3rd Qu.: 0.42625 3rd Qu.: 0.5000
## Max. : 1.0150 Max. : 0.62998 Max. : 1.54498 Max. : 2.1050
## data.657 data.658 data.659 data.660
## Min. :-1.19000 Min. :-1.6650 Min. :-2.11996 Min. :-1.3300
## 1st Qu.:-0.31250 1st Qu.:-0.1650 1st Qu.:-0.27498 1st Qu.:-0.2425
## Median : 0.00498 Median : 0.1000 Median :-0.01498 Median : 0.0850
## Mean :-0.03900 Mean : 0.1120 Mean : 0.04729 Mean : 0.2380
## 3rd Qu.: 0.14500 3rd Qu.: 0.3088 3rd Qu.: 0.36254 3rd Qu.: 0.6687
## Max. : 0.99998 Max. : 1.5750 Max. : 1.78002 Max. : 2.4700
## data.661 data.662 data.663 data.664
## Min. :-1.23000 Min. :-1.1000 Min. :-0.8700 Min. :-0.78998
## 1st Qu.:-0.18253 1st Qu.:-0.2025 1st Qu.:-0.2200 1st Qu.:-0.22249
## Median : 0.04499 Median : 0.2150 Median : 0.2000 Median : 0.00501
## Mean : 0.09200 Mean : 0.1255 Mean : 0.1395 Mean : 0.05927
## 3rd Qu.: 0.33000 3rd Qu.: 0.4475 3rd Qu.: 0.3800 3rd Qu.: 0.22749
## Max. : 1.50998 Max. : 1.2600 Max. : 1.3300 Max. : 1.25004
## data.665 data.666 data.667 data.668
## Min. :-0.834990 Min. :-1.01499 Min. :-0.6550 Min. :-0.855
## 1st Qu.:-0.199990 1st Qu.:-0.27249 1st Qu.:-0.0775 1st Qu.:-0.125
## Median : 0.002505 Median : 0.04000 Median : 0.0650 Median : 0.190
## Mean : 0.009508 Mean : 0.03626 Mean : 0.0910 Mean : 0.222
## 3rd Qu.: 0.244981 3rd Qu.: 0.26250 3rd Qu.: 0.2475 3rd Qu.: 0.525
## Max. : 0.865029 Max. : 1.09503 Max. : 1.1150 Max. : 2.050
## data.669 data.670 data.671 data.672
## Min. :-1.0700 Min. :-0.83499 Min. :-1.00000 Min. :-1.06000
## 1st Qu.:-0.1425 1st Qu.:-0.22749 1st Qu.:-0.05251 1st Qu.:-0.17001
## Median : 0.1550 Median : 0.12501 Median : 0.12000 Median : 0.07499
## Mean : 0.1277 Mean : 0.05951 Mean : 0.12050 Mean : 0.04275
## 3rd Qu.: 0.4875 3rd Qu.: 0.40001 3rd Qu.: 0.40751 3rd Qu.: 0.34500
## Max. : 1.1700 Max. : 1.11001 Max. : 0.88000 Max. : 0.86500
## data.673 data.674 data.675 data.676
## Min. :-0.87000 Min. :-2.0000 Min. :-1.16000 Min. :-1.6100
## 1st Qu.:-0.23000 1st Qu.:-0.1475 1st Qu.:-0.20500 1st Qu.:-0.4250
## Median : 0.08000 Median : 0.0900 Median : 0.14500 Median : 0.0150
## Mean : 0.06875 Mean : 0.0360 Mean : 0.09975 Mean : 0.1067
## 3rd Qu.: 0.38750 3rd Qu.: 0.3050 3rd Qu.: 0.43500 3rd Qu.: 0.5725
## Max. : 0.95000 Max. : 0.8700 Max. : 1.18998 Max. : 1.8600
## data.677 data.678 data.679 data.680
## Min. :-1.91000 Min. :-0.8500 Min. :-1.3900 Min. :-1.00501
## 1st Qu.:-0.28250 1st Qu.:-0.3575 1st Qu.:-0.2325 1st Qu.:-0.21626
## Median :-0.02000 Median :-0.0450 Median :-0.0250 Median : 0.00000
## Mean :-0.08425 Mean :-0.0415 Mean :-0.0335 Mean : 0.02524
## 3rd Qu.: 0.30750 3rd Qu.: 0.2712 3rd Qu.: 0.2600 3rd Qu.: 0.32499
## Max. : 0.91000 Max. : 0.6800 Max. : 0.8900 Max. : 0.78499
## data.681 data.682 data.683 data.684
## Min. :-1.3100 Min. :-2.6550 Min. :-1.0100 Min. :-1.000000
## 1st Qu.:-0.2075 1st Qu.:-0.5300 1st Qu.:-0.4525 1st Qu.:-0.402500
## Median :-0.0300 Median : 0.0250 Median : 0.0000 Median :-0.050000
## Mean : 0.0365 Mean :-0.1133 Mean :-0.0420 Mean :-0.005502
## 3rd Qu.: 0.3725 3rd Qu.: 0.3275 3rd Qu.: 0.3125 3rd Qu.: 0.327500
## Max. : 0.8350 Max. : 0.7450 Max. : 1.3600 Max. : 1.539980
## data.685 data.686 data.687 data.688
## Min. :-0.92001 Min. :-1.150000 Min. :-2.0500 Min. :-0.9300
## 1st Qu.:-0.37501 1st Qu.:-0.257500 1st Qu.:-0.5825 1st Qu.:-0.3250
## Median :-0.01000 Median : 0.010000 Median :-0.3000 Median :-0.0400
## Mean :-0.07488 Mean : 0.009373 Mean :-0.2015 Mean :-0.0485
## 3rd Qu.: 0.20249 3rd Qu.: 0.262500 3rd Qu.: 0.2400 3rd Qu.: 0.1900
## Max. : 0.96997 Max. : 1.109980 Max. : 1.2000 Max. : 0.8400
## data.689 data.690 data.691 data.692
## Min. :-0.68000 Min. :-0.90000 Min. :-0.8700 Min. :-1.34500
## 1st Qu.:-0.34000 1st Qu.:-0.19500 1st Qu.:-0.3250 1st Qu.:-0.26500
## Median :-0.01501 Median : 0.00000 Median :-0.1600 Median :-0.05002
## Mean : 0.02662 Mean :-0.03338 Mean :-0.0275 Mean :-0.07575
## 3rd Qu.: 0.33497 3rd Qu.: 0.16250 3rd Qu.: 0.2725 3rd Qu.: 0.23500
## Max. : 1.00000 Max. : 0.89000 Max. : 1.2300 Max. : 0.74000
## data.693 data.694 data.695 data.696
## Min. :-0.83002 Min. :-1.36000 Min. :-0.660019 Min. :-2.670
## 1st Qu.:-0.29502 1st Qu.:-0.47250 1st Qu.:-0.380020 1st Qu.:-0.625
## Median :-0.04502 Median :-0.04499 Median :-0.010010 Median :-0.110
## Mean :-0.02739 Mean :-0.04188 Mean :-0.008771 Mean :-0.170
## 3rd Qu.: 0.17498 3rd Qu.: 0.18500 3rd Qu.: 0.254980 3rd Qu.: 0.330
## Max. : 1.14996 Max. : 1.61998 Max. : 0.739981 Max. : 1.500
## data.697 data.698 data.699 data.700
## Min. :-0.76000 Min. :-1.119981 Min. :-1.3175 Min. :-0.570000
## 1st Qu.:-0.11500 1st Qu.:-0.414980 1st Qu.:-0.2900 1st Qu.:-0.202500
## Median : 0.00000 Median : 0.000000 Median : 0.0000 Median :-0.010000
## Mean : 0.02312 Mean :-0.007608 Mean :-0.0790 Mean :-0.001876
## 3rd Qu.: 0.17000 3rd Qu.: 0.196270 3rd Qu.: 0.1450 3rd Qu.: 0.192500
## Max. : 0.84998 Max. : 1.680000 Max. : 0.9725 Max. : 0.810000
## data.701 data.702 data.703 data.704
## Min. :-1.000000 Min. :-0.670000 Min. :-0.98000 Min. :-1.12500
## 1st Qu.:-0.225000 1st Qu.:-0.387495 1st Qu.:-0.24750 1st Qu.:-0.21251
## Median : 0.000000 Median :-0.055000 Median : 0.03500 Median : 0.03000
## Mean : 0.004373 Mean :-0.005502 Mean : 0.09525 Mean : 0.01425
## 3rd Qu.: 0.192500 3rd Qu.: 0.260000 3rd Qu.: 0.34250 3rd Qu.: 0.30250
## Max. : 1.310000 Max. : 0.950000 Max. : 1.51000 Max. : 1.04500
## data.705 data.706 data.707 data.708
## Min. :-1.53500 Min. :-2.10000 Min. :-0.59000 Min. :-0.59002
## 1st Qu.:-0.34000 1st Qu.:-0.56000 1st Qu.:-0.20501 1st Qu.:-0.26002
## Median :-0.03500 Median : 0.11998 Median : 0.00498 Median :-0.00501
## Mean :-0.08013 Mean : 0.07712 Mean :-0.02975 Mean : 0.03898
## 3rd Qu.: 0.19750 3rd Qu.: 0.88000 3rd Qu.: 0.14500 3rd Qu.: 0.25623
## Max. : 0.82500 Max. : 2.02000 Max. : 0.35000 Max. : 1.62998
## data.709 data.710 data.711 data.712
## Min. :-0.93000 Min. :-1.36000 Min. :-1.17500 Min. :-1.28999
## 1st Qu.:-0.30250 1st Qu.:-0.33625 1st Qu.:-0.38000 1st Qu.:-0.35749
## Median :-0.05001 Median : 0.10500 Median :-0.03000 Median : 0.11251
## Mean : 0.01875 Mean : 0.08775 Mean : 0.07025 Mean : 0.08976
## 3rd Qu.: 0.34750 3rd Qu.: 0.50250 3rd Qu.: 0.52750 3rd Qu.: 0.57500
## Max. : 1.12002 Max. : 1.39000 Max. : 1.51500 Max. : 1.54001
## data.713 data.714 data.715 data.716
## Min. :-0.979961 Min. :-1.2300 Min. :-1.090020 Min. :-0.5350
## 1st Qu.:-0.129961 1st Qu.:-0.2950 1st Qu.:-0.212500 1st Qu.:-0.1950
## Median :-0.019961 Median : 0.1850 Median : 0.000000 Median : 0.0300
## Mean : 0.009037 Mean : 0.1457 Mean :-0.009376 Mean : 0.0345
## 3rd Qu.: 0.252539 3rd Qu.: 0.6513 3rd Qu.: 0.244995 3rd Qu.: 0.1900
## Max. : 0.740039 Max. : 1.2200 Max. : 1.020000 Max. : 1.0450
## data.717 data.718 data.719 data.720
## Min. :-2.7000 Min. :-0.75000 Min. :-0.8299805 Min. :-0.8900
## 1st Qu.:-0.3950 1st Qu.:-0.33248 1st Qu.:-0.2099805 1st Qu.:-0.2150
## Median : 0.0050 Median :-0.02499 Median : 0.0000195 Median : 0.0150
## Mean :-0.1143 Mean : 0.06402 Mean : 0.0242676 Mean : 0.0215
## 3rd Qu.: 0.3050 3rd Qu.: 0.42252 3rd Qu.: 0.2450195 3rd Qu.: 0.2400
## Max. : 1.6800 Max. : 1.10000 Max. : 1.0200200 Max. : 0.9600
## data.721 data.722 data.723 data.724
## Min. :-0.6900 Min. :-0.825010 Min. :-0.63998 Min. :-0.6699610
## 1st Qu.:-0.1550 1st Qu.:-0.287524 1st Qu.:-0.27498 1st Qu.:-0.1799805
## Median :-0.0550 Median : 0.009990 Median : 0.01002 Median : 0.0000097
## Mean : 0.0180 Mean : 0.005989 Mean : 0.06377 Mean : 0.0782670
## 3rd Qu.: 0.3212 3rd Qu.: 0.287490 3rd Qu.: 0.34252 3rd Qu.: 0.3300195
## Max. : 0.8900 Max. : 1.154990 Max. : 1.25002 Max. : 1.2600190
## data.725 data.726 data.727 data.728
## Min. :-0.72000 Min. :-1.4650 Min. :-0.64000 Min. :-0.735000
## 1st Qu.:-0.26250 1st Qu.:-0.1950 1st Qu.:-0.21500 1st Qu.:-0.240005
## Median :-0.01000 Median :-0.0150 Median : 0.01000 Median :-0.010000
## Mean : 0.01225 Mean :-0.0360 Mean : 0.01375 Mean :-0.001002
## 3rd Qu.: 0.27250 3rd Qu.: 0.1925 3rd Qu.: 0.26750 3rd Qu.: 0.245005
## Max. : 0.71000 Max. : 0.5350 Max. : 0.82998 Max. : 0.905000
## data.729 data.730 data.731 data.732
## Min. :-0.7900 Min. :-1.07002 Min. :-1.2900 Min. :-1.20000
## 1st Qu.:-0.2300 1st Qu.:-0.32000 1st Qu.:-0.2375 1st Qu.:-0.20000
## Median : 0.0250 Median :-0.03000 Median : 0.0000 Median :-0.03000
## Mean : 0.0580 Mean :-0.06725 Mean : 0.1029 Mean : 0.07812
## 3rd Qu.: 0.3575 3rd Qu.: 0.24000 3rd Qu.: 0.4475 3rd Qu.: 0.44249
## Max. : 0.9500 Max. : 0.78000 Max. : 1.5500 Max. : 1.39000
## data.733 data.734 data.735 data.736
## Min. :-0.5350 Min. :-0.73998 Min. :-1.0000 Min. :-0.96000
## 1st Qu.:-0.1575 1st Qu.:-0.31248 1st Qu.:-0.2525 1st Qu.:-0.36500
## Median : 0.1150 Median : 0.00000 Median : 0.0250 Median :-0.05999
## Mean : 0.1322 Mean :-0.06636 Mean : 0.0605 Mean :-0.09975
## 3rd Qu.: 0.3550 3rd Qu.: 0.11251 3rd Qu.: 0.3425 3rd Qu.: 0.13624
## Max. : 1.1250 Max. : 0.87002 Max. : 1.5800 Max. : 1.35000
## data.737 data.738 data.739 data.740
## Min. :-0.85000 Min. :-0.9500 Min. :-1.18000 Min. :-0.73251
## 1st Qu.:-0.16750 1st Qu.:-0.2250 1st Qu.:-0.33751 1st Qu.:-0.32750
## Median : 0.09499 Median :-0.0050 Median : 0.00000 Median : 0.02749
## Mean : 0.03937 Mean : 0.0240 Mean :-0.06375 Mean :-0.01051
## 3rd Qu.: 0.25750 3rd Qu.: 0.2525 3rd Qu.: 0.23500 3rd Qu.: 0.28999
## Max. : 0.73000 Max. : 0.6850 Max. : 0.53500 Max. : 0.97749
## data.741 data.742 data.743 data.744
## Min. :-0.835000 Min. :-0.730000 Min. :-0.710000 Min. :-0.60750
## 1st Qu.:-0.330000 1st Qu.:-0.302529 1st Qu.:-0.335029 1st Qu.:-0.26625
## Median : 0.020000 Median :-0.070000 Median :-0.014990 Median : 0.00751
## Mean :-0.002376 Mean : 0.007749 Mean : 0.005248 Mean : 0.01675
## 3rd Qu.: 0.317500 3rd Qu.: 0.386250 3rd Qu.: 0.232500 3rd Qu.: 0.21750
## Max. : 0.755000 Max. : 1.050000 Max. : 1.220000 Max. : 0.81250
## data.745 data.746 data.747 data.748
## Min. :-0.83499 Min. :-0.89000 Min. :-2.29000 Min. :-2.6400
## 1st Qu.:-0.36499 1st Qu.:-0.30999 1st Qu.:-0.22375 1st Qu.:-0.6925
## Median : 0.04501 Median :-0.11002 Median : 0.00000 Median : 0.0300
## Mean : 0.02001 Mean :-0.06113 Mean :-0.04238 Mean :-0.0110
## 3rd Qu.: 0.32751 3rd Qu.: 0.12500 3rd Qu.: 0.28250 3rd Qu.: 0.8150
## Max. : 1.09501 Max. : 1.08000 Max. : 0.75000 Max. : 2.0000
## data.749 data.750 data.751 data.752
## Min. :-1.01000 Min. :-1.25000 Min. :-2.68250 Min. :-0.950000
## 1st Qu.:-0.21375 1st Qu.:-0.23503 1st Qu.:-0.32250 1st Qu.:-0.437529
## Median : 0.04499 Median :-0.01000 Median :-0.02252 Median : 0.030000
## Mean : 0.02775 Mean :-0.01863 Mean :-0.02050 Mean :-0.001002
## 3rd Qu.: 0.23000 3rd Qu.: 0.24250 3rd Qu.: 0.45250 3rd Qu.: 0.382515
## Max. : 1.00000 Max. : 0.96000 Max. : 1.61748 Max. : 1.220000
## data.753 data.754 data.755 data.756
## Min. :-1.9650 Min. :-1.3700 Min. :-1.5000 Min. :-3.3300
## 1st Qu.:-0.7050 1st Qu.:-0.4475 1st Qu.:-0.1650 1st Qu.:-0.1600
## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean : 0.2979 Mean : 0.3585 Mean : 0.4465 Mean : 0.2149
## 3rd Qu.: 0.5950 3rd Qu.: 0.1975 3rd Qu.: 0.1825 3rd Qu.: 0.2250
## Max. : 5.9950 Max. : 5.5400 Max. : 5.7900 Max. : 4.3400
## data.757 data.758 data.759 data.760
## Min. :-1.100000 Min. :-0.7100 Min. :-0.95000 Min. :-1.01002
## 1st Qu.:-0.182505 1st Qu.:-0.1850 1st Qu.:-0.27000 1st Qu.:-0.28002
## Median : 0.000000 Median :-0.0500 Median : 0.00000 Median :-0.04001
## Mean : 0.002998 Mean :-0.0380 Mean :-0.03625 Mean :-0.07740
## 3rd Qu.: 0.205000 3rd Qu.: 0.1675 3rd Qu.: 0.12000 3rd Qu.: 0.11747
## Max. : 1.149980 Max. : 0.6500 Max. : 1.18000 Max. : 1.01998
## data.761 data.762 data.763 data.764
## Min. :-0.8550098 Min. :-0.89500 Min. :-0.99998 Min. :-1.099980
## 1st Qu.:-0.3000098 1st Qu.:-0.25250 1st Qu.:-0.28250 1st Qu.:-0.277500
## Median : 0.1149804 Median : 0.01500 Median :-0.02500 Median :-0.005000
## Mean : 0.0009887 Mean : 0.08175 Mean : 0.06725 Mean : 0.004999
## 3rd Qu.: 0.3249610 3rd Qu.: 0.38500 3rd Qu.: 0.27750 3rd Qu.: 0.307485
## Max. : 1.0649900 Max. : 0.79998 Max. : 1.30000 Max. : 1.020000
## data.765 data.766 data.767 data.768
## Min. :-1.33500 Min. :-1.76000 Min. :-1.6400 Min. :-1.5000
## 1st Qu.:-0.26750 1st Qu.:-0.23750 1st Qu.:-0.2712 1st Qu.:-0.3875
## Median : 0.08500 Median :-0.01000 Median : 0.0000 Median :-0.0475
## Mean : 0.04375 Mean :-0.06163 Mean :-0.1403 Mean :-0.1381
## 3rd Qu.: 0.32500 3rd Qu.: 0.16251 3rd Qu.: 0.1200 3rd Qu.: 0.1275
## Max. : 0.90498 Max. : 0.62000 Max. : 0.6100 Max. : 0.8950
## data.769 data.770 data.771 data.772
## Min. :-1.11250 Min. :-0.52999 Min. :-0.57001 Min. :-1.61998
## 1st Qu.:-0.25250 1st Qu.:-0.18498 1st Qu.:-0.24501 1st Qu.:-0.31498
## Median :-0.03251 Median :-0.04749 Median :-0.05001 Median : 0.00000
## Mean :-0.02475 Mean : 0.02001 Mean :-0.02051 Mean :-0.04111
## 3rd Qu.: 0.21250 3rd Qu.: 0.20501 3rd Qu.: 0.11999 3rd Qu.: 0.15253
## Max. : 1.25750 Max. : 1.03501 Max. : 1.04997 Max. : 0.96000
## data.773 data.774 data.775 data.776
## Min. :-0.9200000 Min. :-0.9800 Min. :-1.22000 Min. :-1.44998
## 1st Qu.:-0.2875000 1st Qu.:-0.2700 1st Qu.:-0.28000 1st Qu.:-0.53998
## Median : 0.0000098 Median :-0.0200 Median :-0.03500 Median : 0.00000
## Mean :-0.0087515 Mean :-0.0280 Mean :-0.09225 Mean :-0.03498
## 3rd Qu.: 0.2600000 3rd Qu.: 0.2025 3rd Qu.: 0.07500 3rd Qu.: 0.40002
## Max. : 0.7599610 Max. : 1.0650 Max. : 0.57000 Max. : 1.02002
## data.777 data.778 data.779 data.780
## Min. :-0.8600 Min. :-1.160 Min. :-0.9400 Min. :-0.80000
## 1st Qu.:-0.3862 1st Qu.:-0.530 1st Qu.:-0.3600 1st Qu.:-0.27250
## Median :-0.0600 Median : 0.000 Median :-0.1250 Median :-0.08000
## Mean :-0.1105 Mean :-0.116 Mean :-0.1275 Mean :-0.09338
## 3rd Qu.: 0.1400 3rd Qu.: 0.210 3rd Qu.: 0.1000 3rd Qu.: 0.10749
## Max. : 0.5800 Max. : 1.000 Max. : 0.6050 Max. : 0.70998
## data.781 data.782 data.783 data.784
## Min. :-0.7900 Min. :-1.000000 Min. :-0.870000 Min. :-0.70250
## 1st Qu.:-0.2600 1st Qu.:-0.333750 1st Qu.:-0.346250 1st Qu.:-0.28250
## Median :-0.0475 Median :-0.005019 Median : 0.060000 Median :-0.00375
## Mean :-0.0770 Mean :-0.083501 Mean :-0.006377 Mean :-0.03931
## 3rd Qu.: 0.1800 3rd Qu.: 0.262500 3rd Qu.: 0.330000 3rd Qu.: 0.21500
## Max. : 0.4350 Max. : 0.640000 Max. : 0.979981 Max. : 0.50750
## data.785 data.786 data.787 data.788
## Min. :-0.485000 Min. :-0.94000 Min. :-0.82498 Min. :-1.4850
## 1st Qu.:-0.195000 1st Qu.:-0.32000 1st Qu.:-0.23498 1st Qu.:-0.3450
## Median : 0.000000 Median :-0.09501 Median :-0.02000 Median :-0.0750
## Mean :-0.007127 Mean :-0.11950 Mean :-0.03411 Mean :-0.1085
## 3rd Qu.: 0.159985 3rd Qu.: 0.17000 3rd Qu.: 0.10501 3rd Qu.: 0.1850
## Max. : 0.565000 Max. : 0.37998 Max. : 1.04002 Max. : 0.7600
## data.789 data.790 data.791 data.792
## Min. :-1.71500 Min. :-0.96000 Min. :-1.55000 Min. :-1.3000
## 1st Qu.:-0.15376 1st Qu.:-0.31998 1st Qu.:-0.21750 1st Qu.:-0.4075
## Median :-0.01500 Median :-0.07500 Median : 0.00000 Median :-0.0500
## Mean :-0.01925 Mean :-0.04263 Mean : 0.01637 Mean :-0.0500
## 3rd Qu.: 0.09999 3rd Qu.: 0.22000 3rd Qu.: 0.20750 3rd Qu.: 0.3400
## Max. : 0.65000 Max. : 0.83000 Max. : 1.32000 Max. : 0.9400
## data.793 data.794 data.795 data.796
## Min. :-2.2900000 Min. :-1.80000 Min. :-1.21999 Min. :-2.8500
## 1st Qu.:-0.1925000 1st Qu.:-0.42250 1st Qu.:-0.36249 1st Qu.:-0.4462
## Median : 0.0100000 Median : 0.00000 Median :-0.09999 Median :-0.0450
## Mean : 0.0008735 Mean :-0.09563 Mean :-0.05999 Mean :-0.1688
## 3rd Qu.: 0.2825000 3rd Qu.: 0.27000 3rd Qu.: 0.19001 3rd Qu.: 0.1925
## Max. : 0.7700000 Max. : 0.87000 Max. : 0.97001 Max. : 1.0100
## data.797 data.798 data.799 data.800
## Min. :-2.35998 Min. :-3.99500 Min. :-1.45000 Min. :-2.2150
## 1st Qu.:-0.31498 1st Qu.:-0.32250 1st Qu.:-0.34500 1st Qu.:-0.4750
## Median :-0.06498 Median :-0.09001 Median :-0.03999 Median :-0.0400
## Mean :-0.12048 Mean :-0.22413 Mean :-0.09300 Mean :-0.2055
## 3rd Qu.: 0.09502 3rd Qu.: 0.19500 3rd Qu.: 0.17000 3rd Qu.: 0.1675
## Max. : 0.84002 Max. : 0.63500 Max. : 0.63000 Max. : 0.7550
## data.801 data.802 data.803 data.804
## Min. :-1.5500 Min. :-2.48501 Min. :-0.97000 Min. :-0.95996
## 1st Qu.:-0.7775 1st Qu.:-0.44254 1st Qu.:-0.17500 1st Qu.:-0.56246
## Median :-0.2650 Median :-0.09500 Median :-0.04750 Median :-0.16995
## Mean :-0.2333 Mean :-0.05389 Mean :-0.04063 Mean :-0.18721
## 3rd Qu.: 0.3025 3rd Qu.: 0.39999 3rd Qu.: 0.14000 3rd Qu.: 0.07003
## Max. : 1.0300 Max. : 1.63999 Max. : 0.53998 Max. : 0.62504
## data.805 data.806 data.807 data.808
## Min. :-0.760000 Min. :-3.3900 Min. :-0.98999 Min. :-1.51997
## 1st Qu.:-0.209995 1st Qu.:-1.7600 1st Qu.:-0.35750 1st Qu.:-0.32249
## Median :-0.050000 Median :-0.3500 Median : 0.00000 Median : 0.00000
## Mean : 0.007248 Mean :-0.7655 Mean : 0.01826 Mean :-0.08037
## 3rd Qu.: 0.202500 3rd Qu.: 0.1700 3rd Qu.: 0.33001 3rd Qu.: 0.15250
## Max. : 0.795000 Max. : 1.5400 Max. : 1.33001 Max. : 1.28001
## data.809 data.810 data.811 data.812
## Min. :-1.0000 Min. :-0.59000 Min. :-0.6450 Min. :-2.53250
## 1st Qu.:-0.1800 1st Qu.:-0.23751 1st Qu.:-0.1875 1st Qu.:-0.43875
## Median :-0.0250 Median :-0.04000 Median : 0.0000 Median : 0.04498
## Mean : 0.0300 Mean : 0.06037 Mean : 0.0530 Mean :-0.08600
## 3rd Qu.: 0.2525 3rd Qu.: 0.33250 3rd Qu.: 0.3200 3rd Qu.: 0.50249
## Max. : 1.3100 Max. : 0.97998 Max. : 1.0950 Max. : 0.88750
## data.813 data.814 data.815 data.816
## Min. :-0.94000 Min. :-1.010 Min. :-1.0550 Min. :-1.40000
## 1st Qu.:-0.27000 1st Qu.:-0.500 1st Qu.:-0.3750 1st Qu.:-0.28250
## Median :-0.09000 Median :-0.220 Median :-0.0600 Median :-0.01000
## Mean :-0.01125 Mean :-0.155 Mean :-0.1055 Mean :-0.06750
## 3rd Qu.: 0.26750 3rd Qu.: 0.195 3rd Qu.: 0.1775 3rd Qu.: 0.09248
## Max. : 1.08000 Max. : 0.660 Max. : 0.5950 Max. : 0.92000
## data.817 data.818 data.819 data.820
## Min. :-1.23750 Min. :-0.97000 Min. :-1.4699 Min. :-1.190000
## 1st Qu.:-0.16000 1st Qu.:-0.37750 1st Qu.:-0.1825 1st Qu.:-0.220000
## Median :-0.00125 Median :-0.05501 Median : 0.1150 Median : 0.000000
## Mean : 0.09619 Mean :-0.09900 Mean : 0.1183 Mean :-0.001502
## 3rd Qu.: 0.40750 3rd Qu.: 0.21250 3rd Qu.: 0.4213 3rd Qu.: 0.250000
## Max. : 1.62250 Max. : 1.09998 Max. : 1.5600 Max. : 0.929980
## data.821 data.822 data.823 data.824
## Min. :-0.810 Min. :-1.41998 Min. :-1.57498 Min. :-1.35996
## 1st Qu.:-0.270 1st Qu.:-0.31501 1st Qu.:-0.15000 1st Qu.:-0.39123
## Median :-0.030 Median :-0.02250 Median :-0.01500 Median :-0.05998
## Mean :-0.044 Mean :-0.06025 Mean :-0.05475 Mean : 0.01227
## 3rd Qu.: 0.145 3rd Qu.: 0.30500 3rd Qu.: 0.13750 3rd Qu.: 0.38502
## Max. : 1.310 Max. : 1.05998 Max. : 1.31498 Max. : 1.31000
## data.825 data.826 data.827 data.828
## Min. :-0.929980 Min. :-1.2775 Min. :-1.38000 Min. :-1.3700
## 1st Qu.:-0.380010 1st Qu.:-0.5300 1st Qu.:-0.38002 1st Qu.:-0.5000
## Median :-0.029990 Median : 0.0000 Median : 0.00999 Median :-0.0300
## Mean : 0.005248 Mean :-0.1290 Mean :-0.06102 Mean :-0.1053
## 3rd Qu.: 0.410000 3rd Qu.: 0.2550 3rd Qu.: 0.19498 3rd Qu.: 0.2650
## Max. : 1.320000 Max. : 0.6725 Max. : 1.10996 Max. : 0.9500
## data.829 data.830 data.831 data.832
## Min. :-2.11000 Min. :-0.85996 Min. :-1.6300 Min. :-1.01500
## 1st Qu.:-0.50750 1st Qu.:-0.26748 1st Qu.:-0.2725 1st Qu.:-0.27625
## Median : 0.00000 Median :-0.02500 Median :-0.0025 Median : 0.00000
## Mean :-0.06713 Mean :-0.04373 Mean :-0.0920 Mean : 0.04275
## 3rd Qu.: 0.29250 3rd Qu.: 0.25753 3rd Qu.: 0.2125 3rd Qu.: 0.25000
## Max. : 1.92000 Max. : 0.71002 Max. : 0.9000 Max. : 1.32500
## data.833 data.834 data.835 data.836
## Min. :-1.26998 Min. :-1.17498 Min. :-1.59498 Min. :-1.72000
## 1st Qu.:-0.25000 1st Qu.:-0.29000 1st Qu.:-0.63499 1st Qu.:-0.36500
## Median :-0.07501 Median :-0.04000 Median :-0.04750 Median : 0.03500
## Mean : 0.01200 Mean : 0.02275 Mean :-0.02213 Mean : 0.03437
## 3rd Qu.: 0.44500 3rd Qu.: 0.47375 3rd Qu.: 0.45500 3rd Qu.: 0.42500
## Max. : 0.93000 Max. : 0.84500 Max. : 1.68500 Max. : 1.67000
## data.837 data.838 data.839 data.840
## Min. :-1.26000 Min. :-1.05498 Min. :-1.8300 Min. :-2.7850
## 1st Qu.:-0.26000 1st Qu.:-0.24500 1st Qu.:-0.4150 1st Qu.:-0.4750
## Median :-0.02000 Median : 0.02000 Median :-0.0450 Median :-0.0750
## Mean : 0.02012 Mean :-0.04525 Mean :-0.1098 Mean :-0.0840
## 3rd Qu.: 0.38000 3rd Qu.: 0.12499 3rd Qu.: 0.3250 3rd Qu.: 0.2075
## Max. : 1.51000 Max. : 0.63500 Max. : 1.3000 Max. : 2.4050
## data.841 data.842 data.843 data.844
## Min. :-1.58998 Min. :-0.66998 Min. :-1.42001 Min. :-1.5000
## 1st Qu.:-0.30750 1st Qu.:-0.35250 1st Qu.:-0.32252 1st Qu.:-0.3675
## Median :-0.04000 Median :-0.05500 Median :-0.04501 Median : 0.0000
## Mean :-0.08338 Mean :-0.04575 Mean :-0.07151 Mean :-0.0835
## 3rd Qu.: 0.18250 3rd Qu.: 0.15750 3rd Qu.: 0.28749 3rd Qu.: 0.2750
## Max. : 0.74000 Max. : 1.05000 Max. : 1.18999 Max. : 0.9800
## data.845 data.846 data.847 data.848
## Min. :-1.19996 Min. :-0.9100 Min. :-0.8900 Min. :-1.44500
## 1st Qu.:-0.38246 1st Qu.:-0.4075 1st Qu.:-0.3525 1st Qu.:-0.33499
## Median : 0.01504 Median : 0.0400 Median :-0.1200 Median :-0.00750
## Mean : 0.05304 Mean :-0.0180 Mean :-0.0505 Mean : 0.02112
## 3rd Qu.: 0.49629 3rd Qu.: 0.2375 3rd Qu.: 0.2825 3rd Qu.: 0.33250
## Max. : 1.20004 Max. : 1.3400 Max. : 1.3500 Max. : 1.14500
## data.849 data.850 data.851 data.852
## Min. :-1.30000 Min. :-1.6900 Min. :-1.07000 Min. :-2.32000
## 1st Qu.:-0.31250 1st Qu.:-0.3275 1st Qu.:-0.43253 1st Qu.:-0.55250
## Median :-0.01501 Median :-0.1325 Median :-0.02500 Median :-0.10501
## Mean :-0.01625 Mean :-0.1220 Mean :-0.04213 Mean :-0.01113
## 3rd Qu.: 0.31750 3rd Qu.: 0.1725 3rd Qu.: 0.27750 3rd Qu.: 0.46250
## Max. : 1.02998 Max. : 1.5100 Max. : 0.91998 Max. : 1.76000
## data.853 data.854 data.855 data.856
## Min. :-1.6150 Min. :-0.6850 Min. :-0.6700 Min. :-0.7300
## 1st Qu.:-0.3825 1st Qu.:-0.1475 1st Qu.:-0.1750 1st Qu.:-0.2150
## Median : 0.0575 Median : 0.1300 Median : 0.1900 Median : 0.1500
## Mean : 0.0425 Mean : 0.2002 Mean : 0.1822 Mean : 0.1930
## 3rd Qu.: 0.4150 3rd Qu.: 0.7050 3rd Qu.: 0.5600 3rd Qu.: 0.5275
## Max. : 1.6050 Max. : 1.3050 Max. : 1.2500 Max. : 1.2200
## data.857 data.858 data.859 data.860
## Min. :-1.08500 Min. :-1.22000 Min. :-0.57000 Min. :-1.550020
## 1st Qu.:-0.39000 1st Qu.:-0.38125 1st Qu.:-0.11000 1st Qu.:-0.257524
## Median : 0.12500 Median :-0.01999 Median : 0.08998 Median :-0.020010
## Mean : 0.05425 Mean : 0.01200 Mean : 0.12050 Mean :-0.001771
## 3rd Qu.: 0.39500 3rd Qu.: 0.37000 3rd Qu.: 0.28750 3rd Qu.: 0.292480
## Max. : 1.13498 Max. : 1.53002 Max. : 1.58998 Max. : 0.819961
## data.861 data.862 data.863 data.864
## Min. :-0.85000 Min. :-1.45000 Min. :-1.04000 Min. :-1.18500
## 1st Qu.:-0.18000 1st Qu.:-0.28500 1st Qu.:-0.26250 1st Qu.:-0.33000
## Median : 0.00500 Median : 0.01500 Median :-0.03000 Median :-0.02999
## Mean : 0.07812 Mean : 0.02437 Mean :-0.01888 Mean :-0.08238
## 3rd Qu.: 0.36499 3rd Qu.: 0.41000 3rd Qu.: 0.16500 3rd Qu.: 0.28251
## Max. : 0.87500 Max. : 0.78000 Max. : 0.92000 Max. : 0.82000
## data.865 data.866 data.867 data.868
## Min. :-1.78502 Min. :-1.1600000 Min. :-0.4600 Min. :-1.75000
## 1st Qu.:-0.36002 1st Qu.:-0.3475000 1st Qu.:-0.2900 1st Qu.:-0.25500
## Median : 0.05998 Median :-0.0000098 Median : 0.0100 Median : 0.01000
## Mean :-0.00102 Mean :-0.0517510 Mean : 0.0330 Mean : 0.05512
## 3rd Qu.: 0.29748 3rd Qu.: 0.2500000 3rd Qu.: 0.2775 3rd Qu.: 0.33750
## Max. : 0.87998 Max. : 0.7900000 Max. : 0.9700 Max. : 1.64998
## data.869 data.870 data.871 data.872
## Min. :-0.83000 Min. :-0.72002 Min. :-1.0550 Min. :-0.79000
## 1st Qu.:-0.31250 1st Qu.:-0.31000 1st Qu.:-0.3250 1st Qu.:-0.25250
## Median : 0.02000 Median : 0.00501 Median :-0.0250 Median : 0.02500
## Mean : 0.02425 Mean : 0.04787 Mean :-0.0525 Mean : 0.09375
## 3rd Qu.: 0.35500 3rd Qu.: 0.30250 3rd Qu.: 0.2150 3rd Qu.: 0.51500
## Max. : 0.99000 Max. : 1.40000 Max. : 0.8650 Max. : 0.99000
## data.873 data.874 data.875 data.876
## Min. :-0.975000 Min. :-0.63000 Min. :-1.55000 Min. :-1.1700
## 1st Qu.:-0.505000 1st Qu.:-0.21503 1st Qu.:-0.40750 1st Qu.:-0.3025
## Median :-0.002500 Median :-0.03501 Median : 0.03498 Median : 0.0300
## Mean :-0.003626 Mean :-0.01650 Mean :-0.06500 Mean : 0.2081
## 3rd Qu.: 0.442500 3rd Qu.: 0.17750 3rd Qu.: 0.33000 3rd Qu.: 0.5825
## Max. : 1.200000 Max. : 0.62998 Max. : 0.74000 Max. : 1.9100
## data.877 data.878 data.879 data.880
## Min. :-1.5600 Min. :-0.8300 Min. :-1.33501 Min. :-0.6600
## 1st Qu.:-0.3800 1st Qu.:-0.3175 1st Qu.:-0.45501 1st Qu.:-0.3450
## Median :-0.1800 Median :-0.0700 Median :-0.05001 Median :-0.0150
## Mean :-0.1149 Mean :-0.0555 Mean :-0.13289 Mean :-0.0445
## 3rd Qu.: 0.1175 3rd Qu.: 0.1562 3rd Qu.: 0.17374 3rd Qu.: 0.1650
## Max. : 1.4000 Max. : 1.2200 Max. : 0.85497 Max. : 0.9600
## data.881 data.882 data.883 data.884
## Min. :-1.27000 Min. :-1.4500 Min. :-2.0600 Min. :-1.6300000
## 1st Qu.:-0.31500 1st Qu.:-0.5850 1st Qu.:-0.5425 1st Qu.:-0.3375000
## Median : 0.12000 Median :-0.1500 Median :-0.0550 Median :-0.0000195
## Mean : 0.07875 Mean :-0.1274 Mean :-0.1598 Mean :-0.0561265
## 3rd Qu.: 0.41750 3rd Qu.: 0.1500 3rd Qu.: 0.3275 3rd Qu.: 0.3625146
## Max. : 1.21500 Max. : 1.7000 Max. : 1.4500 Max. : 1.4200000
## data.885 data.886 data.887 data.888
## Min. :-2.5950 Min. :-1.37000 Min. :-2.3300200 Min. :-1.94998
## 1st Qu.:-0.4150 1st Qu.:-0.17500 1st Qu.:-0.2225195 1st Qu.:-0.46998
## Median :-0.0350 Median : 0.00000 Median :-0.0000098 Median :-0.05499
## Mean :-0.1378 Mean :-0.01288 Mean :-0.0666455 Mean :-0.10898
## 3rd Qu.: 0.2825 3rd Qu.: 0.19500 3rd Qu.: 0.2524756 3rd Qu.: 0.29252
## Max. : 1.2050 Max. : 1.11998 Max. : 1.1199800 Max. : 1.47502
## data.889 data.890 data.891 data.892
## Min. :-1.58000 Min. :-1.24501 Min. :-1.44500 Min. :-1.12001
## 1st Qu.:-0.17500 1st Qu.:-0.41501 1st Qu.:-0.59375 1st Qu.:-0.45000
## Median : 0.00000 Median :-0.00500 Median :-0.05001 Median :-0.08002
## Mean :-0.02863 Mean : 0.08811 Mean : 0.02450 Mean : 0.03824
## 3rd Qu.: 0.21500 3rd Qu.: 0.48749 3rd Qu.: 0.43000 3rd Qu.: 0.36249
## Max. : 0.55000 Max. : 1.75497 Max. : 2.10498 Max. : 1.62997
## data.893 data.894 data.895 data.896
## Min. :-1.81501 Min. :-1.08500 Min. :-1.5200000 Min. :-2.3600
## 1st Qu.:-0.70500 1st Qu.:-0.31751 1st Qu.:-0.3400146 1st Qu.:-0.8325
## Median :-0.04001 Median :-0.04499 Median : 0.0000000 Median : 0.0000
## Mean :-0.16064 Mean :-0.06450 Mean :-0.0005015 Mean : 0.2461
## 3rd Qu.: 0.21249 3rd Qu.: 0.23500 3rd Qu.: 0.3912208 3rd Qu.: 1.5025
## Max. : 1.39499 Max. : 1.11498 Max. : 1.5899800 Max. : 3.6000
## data.897 data.898 data.899 data.900
## Min. :-2.6500 Min. :-0.90499 Min. :-1.5600 Min. :-0.8950
## 1st Qu.:-0.9400 1st Qu.:-0.31499 1st Qu.:-0.3600 1st Qu.:-0.4000
## Median : 0.0000 Median :-0.02999 Median : 0.0200 Median :-0.0950
## Mean : 0.1569 Mean :-0.02599 Mean :-0.0550 Mean :-0.0585
## 3rd Qu.: 1.3225 3rd Qu.: 0.22501 3rd Qu.: 0.2162 3rd Qu.: 0.2775
## Max. : 3.1000 Max. : 1.07501 Max. : 0.9250 Max. : 0.9450
## data.901 data.902 data.903 data.904
## Min. :-1.3300 Min. :-1.4000 Min. :-1.43996 Min. :-2.5275
## 1st Qu.:-0.4863 1st Qu.:-0.4375 1st Qu.:-0.56996 1st Qu.:-0.5600
## Median : 0.0000 Median :-0.0150 Median :-0.04996 Median :-0.0050
## Mean :-0.1000 Mean :-0.1023 Mean :-0.18471 Mean :-0.1555
## 3rd Qu.: 0.2550 3rd Qu.: 0.3075 3rd Qu.: 0.17002 3rd Qu.: 0.2625
## Max. : 0.9400 Max. : 0.9100 Max. : 0.93006 Max. : 0.9875
## data.905 data.906 data.907 data.908
## Min. :-1.08000 Min. :-1.48999 Min. :-1.00500 Min. :-1.31000
## 1st Qu.:-0.23250 1st Qu.:-0.44749 1st Qu.:-0.28000 1st Qu.:-0.30500
## Median : 0.01499 Median :-0.08499 Median : 0.01500 Median : 0.00999
## Mean :-0.05775 Mean : 0.21088 Mean : 0.02262 Mean : 0.03300
## 3rd Qu.: 0.15997 3rd Qu.: 0.54498 3rd Qu.: 0.33250 3rd Qu.: 0.32501
## Max. : 0.88002 Max. : 4.25001 Max. : 1.30000 Max. : 1.28000
## data.909 data.910 data.911 data.912
## Min. :-0.905 Min. :-0.9200000 Min. :-0.58001 Min. :-0.80000
## 1st Qu.:-0.290 1st Qu.:-0.2725000 1st Qu.:-0.25750 1st Qu.:-0.37250
## Median : 0.030 Median :-0.0449902 Median :-0.02501 Median : 0.02500
## Mean :-0.018 Mean :-0.0007515 Mean :-0.03051 Mean : 0.03925
## 3rd Qu.: 0.330 3rd Qu.: 0.3262500 3rd Qu.: 0.09249 3rd Qu.: 0.44501
## Max. : 0.895 Max. : 0.9100000 Max. : 0.78999 Max. : 0.84000
## data.913 data.914 data.915 data.916
## Min. :-0.83500 Min. :-1.080000 Min. :-0.8000000 Min. :-0.96000
## 1st Qu.:-0.41875 1st Qu.:-0.420000 1st Qu.:-0.1450000 1st Qu.:-0.28250
## Median : 0.01000 Median : 0.010000 Median : 0.0199902 Median : 0.00000
## Mean : 0.06412 Mean :-0.002752 Mean : 0.0009985 Mean : 0.02625
## 3rd Qu.: 0.54749 3rd Qu.: 0.407495 3rd Qu.: 0.1800146 3rd Qu.: 0.24250
## Max. : 1.18500 Max. : 1.440000 Max. : 0.8400000 Max. : 1.21000
## data.917 data.918 data.919 data.920
## Min. :-1.2300 Min. :-1.33000 Min. :-0.75000 Min. :-0.93500
## 1st Qu.:-0.1575 1st Qu.:-0.35500 1st Qu.:-0.18000 1st Qu.:-0.27750
## Median : 0.0150 Median : 0.01999 Median : 0.04498 Median : 0.02998
## Mean : 0.1456 Mean : 0.07800 Mean : 0.03075 Mean :-0.03350
## 3rd Qu.: 0.4925 3rd Qu.: 0.48250 3rd Qu.: 0.29250 3rd Qu.: 0.18500
## Max. : 1.5700 Max. : 1.15000 Max. : 0.85998 Max. : 0.76000
## data.921 data.922 data.923 data.924
## Min. :-1.10001 Min. :-1.285 Min. :-1.1250 Min. :-0.77996
## 1st Qu.:-0.35001 1st Qu.:-0.285 1st Qu.:-0.3075 1st Qu.:-0.21996
## Median :-0.02001 Median :-0.015 Median :-0.0650 Median :-0.03996
## Mean :-0.06226 Mean :-0.035 Mean :-0.0200 Mean : 0.02829
## 3rd Qu.: 0.25749 3rd Qu.: 0.275 3rd Qu.: 0.2350 3rd Qu.: 0.30879
## Max. : 0.97499 Max. : 0.680 Max. : 0.8750 Max. : 1.10004
## data.925 data.926 data.927 data.928
## Min. :-1.3750 Min. :-0.93500 Min. :-1.07000 Min. :-1.25500
## 1st Qu.:-0.3575 1st Qu.:-0.30999 1st Qu.:-0.27500 1st Qu.:-0.37500
## Median :-0.1200 Median :-0.03499 Median :-0.01999 Median :-0.00250
## Mean :-0.1592 Mean :-0.08075 Mean :-0.04875 Mean :-0.09075
## 3rd Qu.: 0.1513 3rd Qu.: 0.12250 3rd Qu.: 0.27250 3rd Qu.: 0.18250
## Max. : 0.5000 Max. : 0.79998 Max. : 0.85498 Max. : 0.91500
## data.929 data.930 data.931 data.932
## Min. :-1.14500 Min. :-1.1700 Min. :-1.4050 Min. :-0.8600195
## 1st Qu.:-0.50750 1st Qu.:-0.3500 1st Qu.:-0.4300 1st Qu.:-0.2700195
## Median : 0.02000 Median :-0.0650 Median :-0.1100 Median :-0.0000098
## Mean :-0.09775 Mean :-0.1073 Mean :-0.1793 Mean : 0.0152295
## 3rd Qu.: 0.23500 3rd Qu.: 0.1500 3rd Qu.: 0.0900 3rd Qu.: 0.2224805
## Max. : 0.95500 Max. : 1.0200 Max. : 1.1150 Max. : 1.0099800
## data.933 data.934 data.935 data.936
## Min. :-0.79000 Min. :-1.09000 Min. :-1.83996 Min. :-1.1800
## 1st Qu.:-0.19750 1st Qu.:-0.23249 1st Qu.:-0.31246 1st Qu.:-0.3525
## Median :-0.05000 Median :-0.03501 Median :-0.02496 Median :-0.1200
## Mean : 0.02325 Mean : 0.05225 Mean :-0.08584 Mean :-0.1150
## 3rd Qu.: 0.15000 3rd Qu.: 0.27500 3rd Qu.: 0.20004 3rd Qu.: 0.1850
## Max. : 1.12998 Max. : 1.80998 Max. : 0.99002 Max. : 0.8000
## data.937 data.938 data.939 data.940
## Min. :-1.190020 Min. :-1.59000 Min. :-0.765000 Min. :-1.20000
## 1st Qu.:-0.412500 1st Qu.:-0.41750 1st Qu.:-0.277500 1st Qu.:-0.37500
## Median :-0.070000 Median :-0.03502 Median :-0.040000 Median : 0.00000
## Mean : 0.005999 Mean :-0.13050 Mean : 0.003498 Mean : 0.03425
## 3rd Qu.: 0.375000 3rd Qu.: 0.25250 3rd Qu.: 0.271250 3rd Qu.: 0.42500
## Max. : 1.949980 Max. : 1.02498 Max. : 1.289980 Max. : 2.55998
## data.941 data.942 data.943 data.944
## Min. :-1.10998 Min. :-1.2800 Min. :-0.675010 Min. :-0.9800
## 1st Qu.:-0.38750 1st Qu.:-0.4150 1st Qu.:-0.137510 1st Qu.:-0.2137
## Median :-0.01500 Median :-0.1000 Median :-0.002495 Median :-0.0050
## Mean : 0.08937 Mean : 0.0375 Mean : 0.139239 Mean : 0.1167
## 3rd Qu.: 0.45625 3rd Qu.: 0.3900 3rd Qu.: 0.227490 3rd Qu.: 0.4175
## Max. : 3.13998 Max. : 3.1900 Max. : 2.014971 Max. : 1.8500
## data.945 data.946 data.947 data.948
## Min. :-1.7350 Min. :-1.940000 Min. :-1.03500 Min. :-1.09000
## 1st Qu.:-0.1500 1st Qu.:-0.255000 1st Qu.:-0.13500 1st Qu.:-0.35000
## Median : 0.1650 Median :-0.035000 Median : 0.01500 Median :-0.03000
## Mean : 0.1608 Mean :-0.005001 Mean : 0.02162 Mean : 0.03125
## 3rd Qu.: 0.5975 3rd Qu.: 0.387505 3rd Qu.: 0.19250 3rd Qu.: 0.27000
## Max. : 3.1150 Max. : 1.790000 Max. : 1.83498 Max. : 1.54998
## data.949 data.950 data.951 data.952
## Min. :-1.09000 Min. :-1.0850 Min. :-1.204990 Min. :-0.90500
## 1st Qu.:-0.40500 1st Qu.:-0.3450 1st Qu.:-0.297490 1st Qu.:-0.22750
## Median :-0.04499 Median :-0.0050 Median :-0.099990 Median :-0.01250
## Mean : 0.07362 Mean :-0.0505 Mean :-0.006242 Mean : 0.07912
## 3rd Qu.: 0.34247 3rd Qu.: 0.1925 3rd Qu.: 0.204981 3rd Qu.: 0.30999
## Max. : 2.89998 Max. : 1.7800 Max. : 2.794990 Max. : 2.67498
## data.953 data.954 data.955 data.956
## Min. :-1.22000 Min. :-1.81000 Min. :-0.62000 Min. :-1.0500
## 1st Qu.:-0.35250 1st Qu.:-0.22250 1st Qu.:-0.23250 1st Qu.:-0.5525
## Median : 0.00000 Median : 0.00000 Median : 0.00499 Median :-0.1700
## Mean : 0.01062 Mean :-0.01838 Mean : 0.06962 Mean :-0.1253
## 3rd Qu.: 0.23000 3rd Qu.: 0.09997 3rd Qu.: 0.26500 3rd Qu.: 0.2625
## Max. : 2.64998 Max. : 2.89998 Max. : 1.63998 Max. : 1.6400
## data.957 data.958 data.959 data.960
## Min. :-0.979942 Min. :-0.9350 Min. :-1.2175 Min. :-2.1300
## 1st Qu.:-0.422456 1st Qu.:-0.3175 1st Qu.:-0.3350 1st Qu.:-0.5425
## Median :-0.124961 Median : 0.0000 Median : 0.0000 Median :-0.1350
## Mean :-0.003713 Mean : 0.1107 Mean : 0.0495 Mean :-0.1108
## 3rd Qu.: 0.360039 3rd Qu.: 0.4275 3rd Qu.: 0.2650 3rd Qu.: 0.2300
## Max. : 3.170019 Max. : 3.6550 Max. : 2.9325 Max. : 3.6800
## data.961 data.962 data.963 data.964
## Min. :-1.6100 Min. :-0.65000 Min. :-0.59000 Min. :-0.77999
## 1st Qu.:-0.7575 1st Qu.:-0.43875 1st Qu.:-0.36000 1st Qu.:-0.28249
## Median :-0.1300 Median :-0.06999 Median :-0.15000 Median :-0.00999
## Mean :-0.1980 Mean :-0.06450 Mean :-0.06425 Mean :-0.06874
## 3rd Qu.: 0.1500 3rd Qu.: 0.17749 3rd Qu.: 0.10500 3rd Qu.: 0.18001
## Max. : 2.5200 Max. : 1.48998 Max. : 1.46498 Max. : 1.02499
## data.965 data.966 data.967 data.968
## Min. :-1.02001 Min. :-1.2500 Min. :-0.87998 Min. :-1.510000
## 1st Qu.:-0.36001 1st Qu.:-0.4600 1st Qu.:-0.23748 1st Qu.:-0.382500
## Median :-0.08501 Median : 0.0000 Median :-0.02498 Median : 0.005000
## Mean :-0.04651 Mean :-0.0435 Mean :-0.01948 Mean : 0.000999
## 3rd Qu.: 0.23246 3rd Qu.: 0.4175 3rd Qu.: 0.22752 3rd Qu.: 0.352500
## Max. : 1.82997 Max. : 1.7400 Max. : 1.44000 Max. : 2.549980
## data.969 data.970 data.971 data.972
## Min. :-1.0800 Min. :-1.41998 Min. :-0.92000 Min. :-1.3800
## 1st Qu.:-0.3825 1st Qu.:-0.43000 1st Qu.:-0.25250 1st Qu.:-0.3175
## Median :-0.0150 Median :-0.04999 Median : 0.00000 Median : 0.0000
## Mean :-0.0420 Mean : 0.28564 Mean : 0.08762 Mean : 0.3147
## 3rd Qu.: 0.2725 3rd Qu.: 0.62503 3rd Qu.: 0.18500 3rd Qu.: 0.2175
## Max. : 1.5900 Max. : 6.13002 Max. : 2.92998 Max. : 5.5500
## data.973 data.974 data.975 data.976
## Min. :-1.5300 Min. :-2.30998 Min. :-2.9600 Min. :-2.7225
## 1st Qu.:-0.6150 1st Qu.:-0.61998 1st Qu.:-0.8225 1st Qu.:-0.5825
## Median :-0.1025 Median :-0.07748 Median :-0.0350 Median : 0.1675
## Mean : 0.0395 Mean :-0.07973 Mean : 0.1384 Mean : 0.0950
## 3rd Qu.: 0.5025 3rd Qu.: 0.28252 3rd Qu.: 0.6950 3rd Qu.: 0.6900
## Max. : 2.6700 Max. : 2.70000 Max. : 6.6100 Max. : 3.6275
## data.977 data.978 data.979 data.980
## Min. :-0.7600 Min. :-0.5700 Min. :-1.48001 Min. :-0.6000
## 1st Qu.:-0.1825 1st Qu.:-0.1575 1st Qu.:-0.54251 1st Qu.:-0.1675
## Median : 0.0650 Median : 0.0000 Median :-0.14501 Median : 0.0000
## Mean : 0.1065 Mean : 0.0620 Mean : 0.02324 Mean : 0.0340
## 3rd Qu.: 0.3700 3rd Qu.: 0.2300 3rd Qu.: 0.32124 3rd Qu.: 0.2500
## Max. : 1.4800 Max. : 1.4000 Max. : 2.60997 Max. : 1.3300
## data.981 data.982 data.983 data.984
## Min. :-0.5399805 Min. :-1.0100 Min. :-0.6200 Min. :-0.4200
## 1st Qu.:-0.1249805 1st Qu.:-0.1500 1st Qu.:-0.2400 1st Qu.:-0.1625
## Median : 0.0000293 Median : 0.0300 Median :-0.0350 Median :-0.0100
## Mean : 0.1085180 Mean : 0.2681 Mean : 0.1075 Mean : 0.0830
## 3rd Qu.: 0.3475195 3rd Qu.: 0.6750 3rd Qu.: 0.2400 3rd Qu.: 0.2625
## Max. : 1.1600190 Max. : 2.3300 Max. : 1.6000 Max. : 1.1100
## data.985 data.986 data.987 data.988
## Min. :-0.71000 Min. :-0.92000 Min. :-1.13001 Min. :-1.2100
## 1st Qu.:-0.13500 1st Qu.:-0.26500 1st Qu.:-0.54001 1st Qu.:-0.3475
## Median :-0.01250 Median :-0.01501 Median : 0.00000 Median :-0.1375
## Mean : 0.02012 Mean : 0.02712 Mean :-0.06001 Mean :-0.0580
## 3rd Qu.: 0.20000 3rd Qu.: 0.23250 3rd Qu.: 0.24249 3rd Qu.: 0.2300
## Max. : 1.13000 Max. : 1.37998 Max. : 1.39997 Max. : 0.9700
## data.989 data.990 data.991 data.992
## Min. :-1.5250 Min. :-1.97000 Min. :-2.070000 Min. :-1.07002
## 1st Qu.:-0.8250 1st Qu.:-0.66250 1st Qu.:-0.290000 1st Qu.:-0.27002
## Median :-0.1300 Median : 0.00000 Median : 0.010000 Median : 0.01999
## Mean :-0.0440 Mean : 0.07012 Mean :-0.009002 Mean : 0.01948
## 3rd Qu.: 0.4825 3rd Qu.: 0.51000 3rd Qu.: 0.295000 3rd Qu.: 0.29997
## Max. : 1.8550 Max. : 3.05000 Max. : 0.799980 Max. : 0.91996
## data.993 data.994 data.995 data.996
## Min. :-1.215 Min. :-1.050000 Min. :-1.575000 Min. :-1.71000
## 1st Qu.:-0.220 1st Qu.:-0.381250 1st Qu.:-0.242500 1st Qu.:-0.35750
## Median : 0.040 Median : 0.040000 Median : 0.012500 Median : 0.02000
## Mean : 0.046 Mean : 0.004248 Mean : 0.004999 Mean :-0.01125
## 3rd Qu.: 0.305 3rd Qu.: 0.379971 3rd Qu.: 0.227500 3rd Qu.: 0.31500
## Max. : 1.065 Max. : 1.549980 Max. : 0.824981 Max. : 1.38998
## data.997 data.998 data.999 data.1000
## Min. :-1.2000 Min. :-1.33500 Min. :-1.44250 Min. :-1.7800
## 1st Qu.:-0.1750 1st Qu.:-0.52625 1st Qu.:-0.32000 1st Qu.:-0.5100
## Median : 0.2100 Median :-0.02250 Median : 0.02500 Median :-0.1850
## Mean : 0.2212 Mean :-0.03088 Mean : 0.08156 Mean : 0.1165
## 3rd Qu.: 0.6050 3rd Qu.: 0.45502 3rd Qu.: 0.49750 3rd Qu.: 0.4713
## Max. : 2.7600 Max. : 1.38498 Max. : 1.37748 Max. : 3.9200
## data.1001 data.1002 data.1003 data.1004
## Min. :-1.34002 Min. :-0.58498 Min. :-1.25000 Min. :-1.7900
## 1st Qu.:-0.43753 1st Qu.:-0.30998 1st Qu.:-0.35250 1st Qu.:-0.1800
## Median :-0.03499 Median :-0.02498 Median :-0.08499 Median : 0.0000
## Mean :-0.07938 Mean :-0.04886 Mean :-0.07050 Mean : 0.1280
## 3rd Qu.: 0.13750 3rd Qu.: 0.12752 3rd Qu.: 0.16000 3rd Qu.: 0.4925
## Max. : 1.33000 Max. : 0.57500 Max. : 1.22996 Max. : 1.8200
## data.1005 data.1006 data.1007 data.1008
## Min. :-2.0500 Min. :-1.1000 Min. :-0.8100 Min. :-1.35250
## 1st Qu.:-0.5475 1st Qu.:-0.3425 1st Qu.:-0.2625 1st Qu.:-0.33250
## Median : 0.0300 Median : 0.0550 Median : 0.0050 Median : 0.00125
## Mean : 0.2107 Mean : 0.1382 Mean : 0.0555 Mean : 0.11944
## 3rd Qu.: 1.0388 3rd Qu.: 0.5613 3rd Qu.: 0.3450 3rd Qu.: 0.62000
## Max. : 2.9600 Max. : 1.5900 Max. : 1.1500 Max. : 1.42750
## data.1009 data.1010 data.1011 data.1012
## Min. :-1.7100 Min. :-1.6550 Min. :-1.4100 Min. :-2.78000
## 1st Qu.:-0.6525 1st Qu.:-0.6125 1st Qu.:-0.3175 1st Qu.:-1.68500
## Median : 0.1600 Median : 0.2200 Median : 0.0000 Median : 0.00000
## Mean : 0.1010 Mean : 0.0390 Mean : 0.2062 Mean : 0.04875
## 3rd Qu.: 0.7675 3rd Qu.: 0.6000 3rd Qu.: 0.7950 3rd Qu.: 1.67500
## Max. : 2.0100 Max. : 1.5850 Max. : 2.3350 Max. : 3.59500
## data.1013 data.1014 data.1015 data.1016
## Min. :-2.3475 Min. :-1.6550 Min. :-1.390000 Min. :-1.3825
## 1st Qu.:-0.4725 1st Qu.:-0.6525 1st Qu.:-0.382500 1st Qu.:-0.2100
## Median : 0.0000 Median :-0.0300 Median :-0.054990 Median :-0.0075
## Mean : 0.3001 Mean :-0.1479 Mean :-0.001002 Mean :-0.0330
## 3rd Qu.: 0.6100 3rd Qu.: 0.2525 3rd Qu.: 0.355000 3rd Qu.: 0.2300
## Max. : 4.3525 Max. : 1.3250 Max. : 1.540000 Max. : 0.8575
## data.1017 data.1018 data.1019 data.1020
## Min. :-0.81000 Min. :-0.8099805 Min. :-1.66500 Min. :-1.4000
## 1st Qu.:-0.19000 1st Qu.:-0.2249805 1st Qu.:-0.29000 1st Qu.:-0.3750
## Median : 0.02998 Median : 0.0000098 Median :-0.04001 Median :-0.2150
## Mean : 0.02950 Mean : 0.0600171 Mean :-0.02625 Mean :-0.1495
## 3rd Qu.: 0.21500 3rd Qu.: 0.2550195 3rd Qu.: 0.26000 3rd Qu.: 0.1925
## Max. : 0.82000 Max. : 1.2600200 Max. : 1.36500 Max. : 0.5300
## data.1021 data.1022 data.1023 data.1024
## Min. :-1.2350 Min. :-0.71000 Min. :-0.8400 Min. :-1.67000
## 1st Qu.:-0.4325 1st Qu.:-0.14000 1st Qu.:-0.3725 1st Qu.:-0.43125
## Median :-0.1550 Median :-0.06000 Median : 0.0050 Median : 0.02498
## Mean :-0.1830 Mean : 0.05075 Mean :-0.0335 Mean : 0.06700
## 3rd Qu.: 0.0900 3rd Qu.: 0.25749 3rd Qu.: 0.2500 3rd Qu.: 0.60249
## Max. : 0.6150 Max. : 0.70000 Max. : 0.5900 Max. : 2.66000
## data.1025 data.1026 data.1027 data.1028
## Min. :-1.3700 Min. :-0.99001 Min. :-1.3700 Min. :-0.7300
## 1st Qu.:-0.4325 1st Qu.:-0.37001 1st Qu.:-0.1800 1st Qu.:-0.2375
## Median : 0.0000 Median : 0.03500 Median : 0.0450 Median : 0.0100
## Mean :-0.0890 Mean :-0.08489 Mean : 0.1472 Mean : 0.1098
## 3rd Qu.: 0.2250 3rd Qu.: 0.22249 3rd Qu.: 0.5725 3rd Qu.: 0.3950
## Max. : 0.9800 Max. : 1.00999 Max. : 1.7200 Max. : 1.4400
## data.1029 data.1030 data.1031 data.1032
## Min. :-1.07500 Min. :-1.0300 Min. :-1.165000 Min. :-1.20998
## 1st Qu.:-0.35750 1st Qu.:-0.1825 1st Qu.:-0.425000 1st Qu.:-0.38998
## Median : 0.04499 Median : 0.0050 Median :-0.010000 Median : 0.02501
## Mean : 0.03175 Mean : 0.0435 Mean :-0.003876 Mean : 0.03977
## 3rd Qu.: 0.39750 3rd Qu.: 0.2775 3rd Qu.: 0.281250 3rd Qu.: 0.36502
## Max. : 1.34500 Max. : 1.0300 Max. : 1.225000 Max. : 1.29002
## data.1033 data.1034 data.1035 data.1036
## Min. :-1.2250 Min. :-1.49000 Min. :-1.32500 Min. :-1.26000
## 1st Qu.:-0.3975 1st Qu.:-0.25503 1st Qu.:-0.48500 1st Qu.:-0.14250
## Median : 0.0725 Median : 0.00000 Median : 0.00000 Median : 0.00000
## Mean : 0.2041 Mean : 0.09887 Mean : 0.08212 Mean : 0.09962
## 3rd Qu.: 0.6125 3rd Qu.: 0.28251 3rd Qu.: 0.50999 3rd Qu.: 0.32250
## Max. : 2.9250 Max. : 2.70000 Max. : 2.15500 Max. : 1.36000
## data.1037 data.1038 data.1039 data.1040
## Min. :-1.17001 Min. :-2.56996 Min. :-1.4350 Min. :-0.825000
## 1st Qu.:-0.47501 1st Qu.:-1.29246 1st Qu.:-0.3575 1st Qu.:-0.357500
## Median : 0.06499 Median : 0.04002 Median :-0.0450 Median :-0.010000
## Mean : 0.01699 Mean :-0.13759 Mean : 0.0220 Mean : 0.001999
## 3rd Qu.: 0.28998 3rd Qu.: 0.80003 3rd Qu.: 0.5300 3rd Qu.: 0.322495
## Max. : 1.71997 Max. : 2.23002 Max. : 0.9350 Max. : 1.235020
## data.1041 data.1042 data.1043 data.1044
## Min. :-0.63000 Min. :-0.87500 Min. :-0.97000 Min. :-1.2950
## 1st Qu.:-0.27250 1st Qu.:-0.39750 1st Qu.:-0.26750 1st Qu.:-0.3162
## Median : 0.09999 Median : 0.00000 Median : 0.03250 Median :-0.0300
## Mean : 0.06500 Mean : 0.07525 Mean : 0.07587 Mean : 0.1350
## 3rd Qu.: 0.33500 3rd Qu.: 0.48750 3rd Qu.: 0.34249 3rd Qu.: 0.6350
## Max. : 1.13002 Max. : 1.85500 Max. : 1.88000 Max. : 1.7450
## data.1045 data.1046 data.1047 data.1048
## Min. :-0.62500 Min. :-2.74501 Min. :-1.669961 Min. :-1.74998
## 1st Qu.:-0.37250 1st Qu.:-0.43500 1st Qu.:-0.319956 1st Qu.:-0.39747
## Median :-0.01501 Median :-0.06001 Median :-0.104961 Median :-0.05998
## Mean : 0.01450 Mean :-0.08726 Mean :-0.005588 Mean :-0.11686
## 3rd Qu.: 0.21000 3rd Qu.: 0.35999 3rd Qu.: 0.620039 3rd Qu.: 0.27251
## Max. : 1.02500 Max. : 1.07001 Max. : 1.340059 Max. : 1.00002
## data.1049 data.1050 data.1051 data.1052
## Min. :-2.6900 Min. :-0.92001 Min. :-1.90000 Min. :-1.4099810
## 1st Qu.:-0.5725 1st Qu.:-0.19001 1st Qu.:-0.45750 1st Qu.:-0.2799805
## Median :-0.1250 Median : 0.00000 Median : 0.01500 Median : 0.0000097
## Mean :-0.1980 Mean :-0.01714 Mean :-0.07575 Mean :-0.0213575
## 3rd Qu.: 0.2225 3rd Qu.: 0.23249 3rd Qu.: 0.24500 3rd Qu.: 0.3087549
## Max. : 1.9200 Max. : 0.62999 Max. : 1.29002 Max. : 1.1500190
## data.1053 data.1054 data.1055 data.1056
## Min. :-1.33004 Min. :-1.8200 Min. :-1.27000 Min. :-1.1250
## 1st Qu.:-0.50000 1st Qu.:-0.8200 1st Qu.:-0.40750 1st Qu.:-0.3650
## Median :-0.10000 Median :-0.0700 Median :-0.01500 Median :-0.0300
## Mean :-0.01613 Mean :-0.0835 Mean : 0.02762 Mean : 0.0175
## 3rd Qu.: 0.56000 3rd Qu.: 0.4975 3rd Qu.: 0.41750 3rd Qu.: 0.4000
## Max. : 2.12000 Max. : 3.0300 Max. : 1.57000 Max. : 1.1350
## data.1057 data.1058 data.1059 data.1060
## Min. :-1.42000 Min. :-0.66000 Min. :-0.8650 Min. :-1.6500
## 1st Qu.:-0.25250 1st Qu.:-0.28500 1st Qu.:-0.3525 1st Qu.:-0.7350
## Median : 0.09000 Median :-0.00501 Median :-0.0850 Median : 0.1700
## Mean : 0.08337 Mean :-0.04775 Mean :-0.0885 Mean : 0.1982
## 3rd Qu.: 0.37750 3rd Qu.: 0.08750 3rd Qu.: 0.1675 3rd Qu.: 0.9725
## Max. : 1.49000 Max. : 0.81000 Max. : 0.7650 Max. : 2.5600
## data.1061 data.1062 data.1063 data.1064
## Min. :-1.06500 Min. :-0.64000 Min. :-2.4400 Min. :-1.96000
## 1st Qu.:-0.29000 1st Qu.:-0.09500 1st Qu.:-0.7650 1st Qu.:-0.33501
## Median : 0.00000 Median : 0.03499 Median :-0.0350 Median :-0.09500
## Mean : 0.02975 Mean : 0.06150 Mean : 0.1155 Mean : 0.07625
## 3rd Qu.: 0.27375 3rd Qu.: 0.28500 3rd Qu.: 0.8925 3rd Qu.: 0.31750
## Max. : 1.34500 Max. : 0.92000 Max. : 3.1700 Max. : 2.46000
## data.1065 data.1066 data.1067 data.1068
## Min. :-1.18000 Min. :-1.41000 Min. :-2.8250 Min. :-3.83002
## 1st Qu.:-0.33500 1st Qu.:-0.19000 1st Qu.:-1.0650 1st Qu.:-1.45252
## Median : 0.00000 Median : 0.00000 Median : 0.0000 Median :-0.01001
## Mean :-0.06338 Mean :-0.01813 Mean : 0.1776 Mean :-0.22164
## 3rd Qu.: 0.22248 3rd Qu.: 0.25000 3rd Qu.: 0.7800 3rd Qu.: 0.69245
## Max. : 0.70000 Max. : 0.74998 Max. : 4.1750 Max. : 3.01998
## data.1069 data.1070 data.1071 data.1072
## Min. :-1.3600 Min. :-0.860010 Min. :-1.44500 Min. :-1.7850
## 1st Qu.:-0.3025 1st Qu.:-0.252510 1st Qu.:-0.13500 1st Qu.:-0.6100
## Median : 0.1800 Median :-0.005005 Median : 0.00000 Median : 0.0000
## Mean : 0.1502 Mean : 0.069989 Mean : 0.06137 Mean :-0.0950
## 3rd Qu.: 0.5825 3rd Qu.: 0.364990 3rd Qu.: 0.32250 3rd Qu.: 0.5425
## Max. : 2.2300 Max. : 1.999990 Max. : 1.74000 Max. : 1.5800
## data.1073 data.1074 data.1075 data.1076
## Min. :-1.5950 Min. :-2.21500 Min. :-2.080000 Min. :-1.285000
## 1st Qu.:-0.4675 1st Qu.:-0.22250 1st Qu.:-0.337500 1st Qu.:-0.272500
## Median :-0.1200 Median :-0.00250 Median : 0.000000 Median :-0.025000
## Mean :-0.1600 Mean : 0.03237 Mean : 0.007123 Mean : 0.009498
## 3rd Qu.: 0.1675 3rd Qu.: 0.41000 3rd Qu.: 0.377500 3rd Qu.: 0.369971
## Max. : 0.6050 Max. : 1.15498 Max. : 1.209980 Max. : 1.090000
## data.1077 data.1078 data.1079 data.1080
## Min. :-0.76500 Min. :-1.2850 Min. :-1.0250 Min. :-1.24001
## 1st Qu.:-0.30250 1st Qu.:-0.1975 1st Qu.:-0.3175 1st Qu.:-0.34251
## Median : 0.00999 Median : 0.0025 Median :-0.0300 Median : 0.02500
## Mean :-0.03075 Mean : 0.0165 Mean :-0.1113 Mean :-0.06776
## 3rd Qu.: 0.22249 3rd Qu.: 0.3850 3rd Qu.: 0.1875 3rd Qu.: 0.21249
## Max. : 0.65000 Max. : 0.8050 Max. : 0.5650 Max. : 0.90999
## data.1081 data.1082 data.1083 data.1084
## Min. :-1.21000 Min. :-1.06000 Min. :-1.09000 Min. :-1.355
## 1st Qu.:-0.40000 1st Qu.:-0.25250 1st Qu.:-0.62500 1st Qu.:-0.350
## Median : 0.00500 Median : 0.03000 Median : 0.04500 Median : 0.030
## Mean :-0.09325 Mean : 0.01925 Mean :-0.09975 Mean :-0.048
## 3rd Qu.: 0.29750 3rd Qu.: 0.35000 3rd Qu.: 0.22250 3rd Qu.: 0.305
## Max. : 0.84000 Max. : 0.76000 Max. : 0.74000 Max. : 0.885
## data.1085 data.1086 data.1087 data.1088
## Min. :-1.19000 Min. :-1.4800000 Min. :-1.97000 Min. :-1.8700
## 1st Qu.:-0.34750 1st Qu.:-0.3600000 1st Qu.:-0.52750 1st Qu.:-0.4975
## Median : 0.01499 Median :-0.1125000 Median :-0.05499 Median :-0.1150
## Mean :-0.08425 Mean :-0.0008765 Mean :-0.02038 Mean :-0.1400
## 3rd Qu.: 0.16250 3rd Qu.: 0.2799854 3rd Qu.: 0.64750 3rd Qu.: 0.2075
## Max. : 0.59000 Max. : 1.9400000 Max. : 1.40000 Max. : 1.1200
## data.1089 data.1090 data.1091 data.1092
## Min. :-0.855000 Min. :-1.7650 Min. :-1.0550 Min. :-1.1450
## 1st Qu.:-0.210000 1st Qu.:-0.3300 1st Qu.:-0.3950 1st Qu.:-0.5337
## Median : 0.002500 Median :-0.2150 Median :-0.0350 Median :-0.0375
## Mean :-0.003126 Mean :-0.1751 Mean :-0.0545 Mean : 0.1190
## 3rd Qu.: 0.157500 3rd Qu.: 0.1837 3rd Qu.: 0.1825 3rd Qu.: 0.7125
## Max. : 0.894980 Max. : 1.0950 Max. : 1.0450 Max. : 1.9050
## data.1093 data.1094 data.1095 data.1096
## Min. :-1.55500 Min. :-1.3300 Min. :-1.7750 Min. :-2.0400
## 1st Qu.:-0.58750 1st Qu.:-0.5100 1st Qu.:-0.2375 1st Qu.:-0.2875
## Median :-0.14250 Median :-0.0275 Median : 0.0050 Median : 0.0000
## Mean : 0.01562 Mean :-0.0220 Mean : 0.1065 Mean : 0.2214
## 3rd Qu.: 0.71999 3rd Qu.: 0.4050 3rd Qu.: 0.4537 3rd Qu.: 0.7075
## Max. : 1.68496 Max. : 1.1000 Max. : 1.9850 Max. : 2.6400
## data.1097 data.1098 data.1099 data.1100
## Min. :-0.69500 Min. :-1.530000 Min. :-2.8650 Min. :-3.12003
## 1st Qu.:-0.20750 1st Qu.:-0.278745 1st Qu.:-1.0150 1st Qu.:-1.11251
## Median : 0.00000 Median :-0.005000 Median :-0.3025 Median : 0.00000
## Mean : 0.06562 Mean : 0.001499 Mean :-0.2809 Mean :-0.01251
## 3rd Qu.: 0.22500 3rd Qu.: 0.392495 3rd Qu.: 0.4725 3rd Qu.: 1.05749
## Max. : 1.33500 Max. : 1.180020 Max. : 2.3150 Max. : 4.29999
## data.1101 data.1102 data.1103 data.1104
## Min. :-1.630 Min. :-1.15000 Min. :-2.3300 Min. :-1.5300
## 1st Qu.:-0.815 1st Qu.:-0.49500 1st Qu.:-1.1150 1st Qu.:-1.0050
## Median :-0.030 Median :-0.00500 Median :-0.1400 Median :-0.2800
## Mean : 0.195 Mean :-0.06238 Mean :-0.2633 Mean :-0.2885
## 3rd Qu.: 1.207 3rd Qu.: 0.22500 3rd Qu.: 0.4950 3rd Qu.: 0.1800
## Max. : 3.695 Max. : 2.63000 Max. : 2.8500 Max. : 1.7000
## data.1105 data.1106 data.1107 data.1108
## Min. :-3.120 Min. :-4.2900 Min. :-2.13000 Min. :-3.3300
## 1st Qu.:-1.222 1st Qu.:-1.2325 1st Qu.:-0.25000 1st Qu.:-0.3050
## Median :-0.385 Median :-0.4350 Median :-0.03501 Median : 0.0675
## Mean :-0.207 Mean :-0.2375 Mean :-0.08300 Mean :-0.1363
## 3rd Qu.: 0.525 3rd Qu.: 0.8475 3rd Qu.: 0.26250 3rd Qu.: 0.4400
## Max. : 2.790 Max. : 2.9500 Max. : 0.80000 Max. : 0.9500
## data.1109 data.1110 data.1111 data.1112
## Min. :-1.170000 Min. :-0.71498 Min. :-1.9650 Min. :-0.86000
## 1st Qu.:-0.270000 1st Qu.:-0.24998 1st Qu.:-0.6375 1st Qu.:-0.31500
## Median :-0.030000 Median :-0.00249 Median : 0.0000 Median :-0.02500
## Mean : 0.006498 Mean :-0.04636 Mean : 0.1604 Mean :-0.05188
## 3rd Qu.: 0.347490 3rd Qu.: 0.18752 3rd Qu.: 0.7950 3rd Qu.: 0.14247
## Max. : 1.090000 Max. : 0.57500 Max. : 3.2050 Max. : 1.03000
## data.1113 data.1114 data.1115 data.1116
## Min. :-0.86000 Min. :-0.9099805 Min. :-0.74998 Min. :-1.07000
## 1st Qu.:-0.28500 1st Qu.:-0.2324805 1st Qu.:-0.35498 1st Qu.:-0.21750
## Median :-0.04750 Median :-0.0000097 Median : 0.00000 Median : 0.06500
## Mean :-0.02025 Mean :-0.0154830 Mean : 0.03377 Mean : 0.07475
## 3rd Qu.: 0.34000 3rd Qu.: 0.2175195 3rd Qu.: 0.28501 3rd Qu.: 0.38500
## Max. : 0.94000 Max. : 1.0000190 Max. : 1.05002 Max. : 1.00998
## data.1117 data.1118 data.1119 data.1120
## Min. :-1.49998 Min. :-0.925000 Min. :-0.57001 Min. :-3.0750
## 1st Qu.:-0.48498 1st Qu.:-0.280000 1st Qu.:-0.22501 1st Qu.:-0.7975
## Median :-0.04998 Median : 0.010000 Median : 0.00500 Median : 0.0000
## Mean :-0.14373 Mean :-0.003001 Mean : 0.05574 Mean : 0.3442
## 3rd Qu.: 0.19252 3rd Qu.: 0.315015 3rd Qu.: 0.26249 3rd Qu.: 1.9612
## Max. : 0.94002 Max. : 0.895000 Max. : 0.90999 Max. : 3.4750
## data.1121 data.1122 data.1123 data.1124
## Min. :-1.020010 Min. :-1.0250 Min. :-0.92500 Min. :-0.8400
## 1st Qu.:-0.562510 1st Qu.:-0.6675 1st Qu.:-0.21750 1st Qu.:-0.1725
## Median : 0.009995 Median : 0.1550 Median : 0.01000 Median : 0.0150
## Mean : 0.020614 Mean : 0.0235 Mean : 0.02675 Mean : 0.0550
## 3rd Qu.: 0.371240 3rd Qu.: 0.5450 3rd Qu.: 0.36250 3rd Qu.: 0.2900
## Max. : 2.009990 Max. : 1.7850 Max. : 0.76500 Max. : 0.7900
## data.1125 data.1126 data.1127 data.1128
## Min. :-0.7850 Min. :-1.3000 Min. :-0.97500 Min. :-1.28000
## 1st Qu.:-0.2350 1st Qu.:-0.4213 1st Qu.:-0.19750 1st Qu.:-0.52750
## Median : 0.1100 Median : 0.1300 Median : 0.04498 Median :-0.06000
## Mean : 0.0680 Mean : 0.0120 Mean : 0.07875 Mean :-0.03525
## 3rd Qu.: 0.3675 3rd Qu.: 0.4925 3rd Qu.: 0.29750 3rd Qu.: 0.49000
## Max. : 1.0750 Max. : 1.1100 Max. : 0.97500 Max. : 1.34000
## data.1129 data.1130 data.1131 data.1132
## Min. :-0.8600 Min. :-0.68998 Min. :-0.94000 Min. :-1.37998
## 1st Qu.:-0.1350 1st Qu.:-0.16498 1st Qu.:-0.29000 1st Qu.:-0.34998
## Median : 0.0750 Median : 0.04502 Median :-0.01500 Median : 0.02002
## Mean : 0.1152 Mean : 0.05677 Mean : 0.04575 Mean :-0.05148
## 3rd Qu.: 0.3250 3rd Qu.: 0.24249 3rd Qu.: 0.30000 3rd Qu.: 0.27502
## Max. : 1.7300 Max. : 1.90002 Max. : 0.99000 Max. : 0.88004
## data.1133 data.1134 data.1135 data.1136
## Min. :-0.915 Min. :-1.0100 Min. :-0.95998 Min. :-0.7600000
## 1st Qu.:-0.325 1st Qu.:-0.1850 1st Qu.:-0.39250 1st Qu.:-0.2925000
## Median : 0.210 Median : 0.0050 Median : 0.00000 Median :-0.0400000
## Mean : 0.104 Mean : 0.0735 Mean : 0.04937 Mean : 0.0002485
## 3rd Qu.: 0.425 3rd Qu.: 0.3925 3rd Qu.: 0.34000 3rd Qu.: 0.3025000
## Max. : 1.085 Max. : 1.4500 Max. : 1.70998 Max. : 0.8200000
## data.1137 data.1138 data.1139 data.1140
## Min. :-0.825 Min. :-1.5850 Min. :-1.1700 Min. :-1.40750
## 1st Qu.:-0.140 1st Qu.:-0.2050 1st Qu.:-0.1675 1st Qu.:-0.20000
## Median : 0.020 Median : 0.1475 Median : 0.0300 Median : 0.01750
## Mean : 0.079 Mean : 0.1267 Mean :-0.0105 Mean : 0.09512
## 3rd Qu.: 0.350 3rd Qu.: 0.5425 3rd Qu.: 0.2175 3rd Qu.: 0.45250
## Max. : 1.165 Max. : 1.6250 Max. : 0.7900 Max. : 0.97250
## data.1141 data.1142 data.1143 data.1144
## Min. :-1.08000 Min. :-1.11000 Min. :-2.19500 Min. :-1.3350
## 1st Qu.:-0.21250 1st Qu.:-0.31500 1st Qu.:-0.37750 1st Qu.:-0.2200
## Median : 0.01500 Median :-0.02500 Median : 0.06000 Median : 0.0450
## Mean : 0.09775 Mean :-0.03675 Mean :-0.03113 Mean : 0.0265
## 3rd Qu.: 0.49000 3rd Qu.: 0.32750 3rd Qu.: 0.43750 3rd Qu.: 0.3650
## Max. : 0.99000 Max. : 0.78000 Max. : 0.97500 Max. : 1.0650
## data.1145 data.1146 data.1147 data.1148
## Min. :-1.32000 Min. :-1.01500 Min. :-0.86000 Min. :-0.520000
## 1st Qu.:-0.18500 1st Qu.:-0.20750 1st Qu.:-0.17999 1st Qu.:-0.192500
## Median : 0.00000 Median : 0.00749 Median : 0.00000 Median :-0.020000
## Mean : 0.03925 Mean : 0.03825 Mean : 0.05437 Mean :-0.005001
## 3rd Qu.: 0.29750 3rd Qu.: 0.23999 3rd Qu.: 0.29249 3rd Qu.: 0.182500
## Max. : 1.25000 Max. : 1.56498 Max. : 1.34998 Max. : 0.660000
## data.1149 data.1150 data.1151 data.1152
## Min. :-1.199980 Min. :-1.41998 Min. :-1.2950 Min. :-0.9900
## 1st Qu.:-0.215000 1st Qu.:-0.26000 1st Qu.:-0.2775 1st Qu.:-0.2875
## Median :-0.005000 Median : 0.00500 Median : 0.0550 Median : 0.0400
## Mean :-0.009376 Mean :-0.02275 Mean : 0.0155 Mean : 0.0240
## 3rd Qu.: 0.229985 3rd Qu.: 0.25500 3rd Qu.: 0.3475 3rd Qu.: 0.3500
## Max. : 0.839981 Max. : 1.02998 Max. : 1.0050 Max. : 1.3000
## data.1153 data.1154 data.1155 data.1156
## Min. :-0.6050 Min. :-1.60998 Min. :-1.92752 Min. :-1.00501
## 1st Qu.:-0.2625 1st Qu.:-0.33375 1st Qu.:-0.54000 1st Qu.:-0.42751
## Median :-0.0450 Median :-0.03499 Median :-0.07249 Median :-0.01502
## Mean :-0.0115 Mean :-0.10498 Mean :-0.14150 Mean :-0.06376
## 3rd Qu.: 0.2325 3rd Qu.: 0.09752 3rd Qu.: 0.23250 3rd Qu.: 0.15499
## Max. : 0.9350 Max. : 0.76002 Max. : 1.76250 Max. : 1.92499
## data.1157 data.1158 data.1159 data.1160
## Min. :-1.78002 Min. :-0.500 Min. :-0.840 Min. :-0.63000
## 1st Qu.:-0.22500 1st Qu.:-0.245 1st Qu.:-0.440 1st Qu.:-0.26250
## Median :-0.01500 Median :-0.050 Median :-0.075 Median : 0.00000
## Mean :-0.09563 Mean : 0.049 Mean :-0.020 Mean : 0.02025
## 3rd Qu.: 0.12500 3rd Qu.: 0.230 3rd Qu.: 0.260 3rd Qu.: 0.33000
## Max. : 0.87000 Max. : 1.380 Max. : 1.090 Max. : 0.72500
## data.1161 data.1162 data.1163 data.1164
## Min. :-1.340 Min. :-0.81002 Min. :-0.64500 Min. :-1.17000
## 1st Qu.:-0.465 1st Qu.:-0.25002 1st Qu.:-0.21000 1st Qu.:-0.38749
## Median :-0.015 Median :-0.00501 Median : 0.00000 Median :-0.01500
## Mean :-0.055 Mean :-0.01877 Mean :-0.01913 Mean :-0.04188
## 3rd Qu.: 0.300 3rd Qu.: 0.22998 3rd Qu.: 0.14750 3rd Qu.: 0.24500
## Max. : 1.390 Max. : 1.08998 Max. : 1.00000 Max. : 1.27000
## data.1165 data.1166 data.1167 data.1168
## Min. :-0.9500 Min. :-1.2950 Min. :-1.61000 Min. :-1.3100
## 1st Qu.:-0.3575 1st Qu.:-0.3900 1st Qu.:-0.52247 1st Qu.:-0.2175
## Median :-0.0150 Median :-0.1000 Median : 0.02502 Median : 0.0250
## Mean :-0.0355 Mean :-0.0815 Mean :-0.05223 Mean : 0.0475
## 3rd Qu.: 0.2925 3rd Qu.: 0.1125 3rd Qu.: 0.36002 3rd Qu.: 0.4525
## Max. : 1.0000 Max. : 1.1150 Max. : 1.58002 Max. : 1.4800
## data.1169 data.1170 data.1171 data.1172
## Min. :-1.07500 Min. :-0.83998 Min. :-1.08000 Min. :-0.78002
## 1st Qu.:-0.26500 1st Qu.:-0.17248 1st Qu.:-0.29753 1st Qu.:-0.32752
## Median :-0.02501 Median : 0.00000 Median : 0.00000 Median :-0.01001
## Mean :-0.05675 Mean : 0.03439 Mean : 0.06137 Mean :-0.09877
## 3rd Qu.: 0.17500 3rd Qu.: 0.21002 3rd Qu.: 0.29500 3rd Qu.: 0.08498
## Max. : 0.77000 Max. : 1.73002 Max. : 3.02000 Max. : 0.39998
## data.1173 data.1174 data.1175
## Min. :-1.184990 Min. :-0.775000 Min. :-1.86000
## 1st Qu.:-0.407490 1st Qu.:-0.282500 1st Qu.:-0.32000
## Median :-0.007505 Median : 0.017500 Median :-0.03500
## Mean :-0.087492 Mean : 0.002998 Mean :-0.09688
## 3rd Qu.: 0.095010 3rd Qu.: 0.280000 3rd Qu.: 0.15500
## Max. : 1.605010 Max. : 0.855000 Max. : 0.85000
## data.1176 data.1177 data.1178 data.1179
## Min. :-1.1400000 Min. :-1.6800 Min. :-1.7250 Min. :-1.62000
## 1st Qu.:-0.3162500 1st Qu.:-0.6025 1st Qu.:-0.3762 1st Qu.:-0.35999
## Median :-0.0000098 Median :-0.1800 Median :-0.1000 Median :-0.15500
## Mean :-0.1007515 Mean :-0.1770 Mean :-0.0320 Mean :-0.07625
## 3rd Qu.: 0.1925000 3rd Qu.: 0.2575 3rd Qu.: 0.4000 3rd Qu.: 0.30747
## Max. : 0.6400000 Max. : 1.0800 Max. : 1.1050 Max. : 1.17000
## data.1180 data.1181 data.1182 data.1183
## Min. :-1.7250 Min. :-1.3950 Min. :-2.17996 Min. :-2.01500
## 1st Qu.:-0.3875 1st Qu.:-0.4075 1st Qu.:-0.42746 1st Qu.:-0.32500
## Median :-0.0875 Median : 0.0250 Median : 0.05004 Median :-0.06000
## Mean :-0.0660 Mean :-0.0285 Mean :-0.02671 Mean :-0.05875
## 3rd Qu.: 0.3025 3rd Qu.: 0.3300 3rd Qu.: 0.41504 3rd Qu.: 0.29250
## Max. : 0.9850 Max. : 1.1150 Max. : 1.63504 Max. : 0.84500
## data.1184 data.1185 data.1186 data.1187
## Min. :-3.20000 Min. :-2.8200 Min. :-0.960000 Min. :-0.82000
## 1st Qu.:-0.41250 1st Qu.:-0.3225 1st Qu.:-0.267500 1st Qu.:-0.27250
## Median :-0.08499 Median :-0.0950 Median :-0.045000 Median :-0.00499
## Mean :-0.14150 Mean :-0.1273 Mean : 0.001998 Mean :-0.01388
## 3rd Qu.: 0.26249 3rd Qu.: 0.2050 3rd Qu.: 0.264995 3rd Qu.: 0.20000
## Max. : 0.82000 Max. : 0.9400 Max. : 0.750000 Max. : 0.52998
## data.1188 data.1189 data.1190 data.1191
## Min. :-0.584990 Min. :-0.89000 Min. :-0.8800 Min. :-0.94000
## 1st Qu.:-0.207490 1st Qu.:-0.22500 1st Qu.:-0.2313 1st Qu.:-0.21000
## Median :-0.002495 Median :-0.07500 Median : 0.0200 Median :-0.01500
## Mean :-0.011993 Mean :-0.05325 Mean : 0.0440 Mean : 0.05825
## 3rd Qu.: 0.164995 3rd Qu.: 0.21500 3rd Qu.: 0.3250 3rd Qu.: 0.24500
## Max. : 0.615010 Max. : 0.66000 Max. : 0.8400 Max. : 1.12000
## data.1192 data.1193 data.1194 data.1195
## Min. :-0.9250 Min. :-0.99002 Min. :-0.9700 Min. :-1.08999
## 1st Qu.:-0.2338 1st Qu.:-0.18002 1st Qu.:-0.4000 1st Qu.:-0.42999
## Median :-0.0650 Median : 0.00000 Median :-0.1250 Median :-0.05499
## Mean : 0.0790 Mean : 0.00898 Mean :-0.1000 Mean :-0.05749
## 3rd Qu.: 0.3875 3rd Qu.: 0.17500 3rd Qu.: 0.2125 3rd Qu.: 0.32251
## Max. : 1.2350 Max. : 0.87994 Max. : 0.8800 Max. : 0.99001
## data.1196 data.1197 data.1198 data.1199
## Min. :-0.670 Min. :-1.00002 Min. :-0.74500 Min. :-1.3050
## 1st Qu.:-0.240 1st Qu.:-0.34002 1st Qu.:-0.27750 1st Qu.:-0.3625
## Median :-0.055 Median :-0.04504 Median : 0.00999 Median :-0.0200
## Mean :-0.012 Mean :-0.11702 Mean : 0.06150 Mean :-0.1090
## 3rd Qu.: 0.285 3rd Qu.: 0.19998 3rd Qu.: 0.31250 3rd Qu.: 0.1150
## Max. : 0.680 Max. : 0.62998 Max. : 1.52000 Max. : 1.2100
## data.1200 data.1201 data.1202 data.1203
## Min. :-1.14000 Min. :-1.580000 Min. :-0.70501 Min. :-0.610000
## 1st Qu.:-0.27250 1st Qu.:-0.295000 1st Qu.:-0.30002 1st Qu.:-0.257500
## Median : 0.00000 Median : 0.000000 Median :-0.01001 Median :-0.035000
## Mean : 0.08437 Mean :-0.009626 Mean :-0.02926 Mean :-0.004751
## 3rd Qu.: 0.34250 3rd Qu.: 0.282500 3rd Qu.: 0.18500 3rd Qu.: 0.189971
## Max. : 1.51000 Max. : 1.050000 Max. : 0.86499 Max. : 1.150000
## data.1204 data.1205 data.1206 data.1207
## Min. :-1.01000 Min. :-0.85000 Min. :-1.00000 Min. :-0.5500
## 1st Qu.:-0.34000 1st Qu.:-0.37500 1st Qu.:-0.28750 1st Qu.:-0.1125
## Median : 0.04250 Median :-0.03000 Median : 0.00000 Median : 0.0000
## Mean :-0.06175 Mean : 0.01175 Mean : 0.01162 Mean : 0.0455
## 3rd Qu.: 0.22000 3rd Qu.: 0.27000 3rd Qu.: 0.23750 3rd Qu.: 0.2325
## Max. : 0.59000 Max. : 2.13000 Max. : 1.22996 Max. : 0.7100
## data.1208 data.1209 data.1210 data.1211
## Min. :-1.54998 Min. :-0.79002 Min. :-0.96998 Min. :-1.2900
## 1st Qu.:-0.24998 1st Qu.:-0.26503 1st Qu.:-0.26498 1st Qu.:-0.4650
## Median : 0.00000 Median :-0.01002 Median : 0.00000 Median :-0.2750
## Mean :-0.03998 Mean :-0.09864 Mean : 0.07739 Mean :-0.0824
## 3rd Qu.: 0.15002 3rd Qu.: 0.09995 3rd Qu.: 0.34002 3rd Qu.: 0.1350
## Max. : 0.97000 Max. : 0.65998 Max. : 1.81002 Max. : 3.4500
## data.1212 data.1213 data.1214 data.1215
## Min. :-0.80500 Min. :-1.22000 Min. :-1.32998 Min. :-0.61000
## 1st Qu.:-0.20999 1st Qu.:-0.45750 1st Qu.:-0.44248 1st Qu.:-0.23250
## Median :-0.02502 Median :-0.05000 Median :-0.14498 Median :-0.01501
## Mean :-0.03188 Mean :-0.02513 Mean :-0.08198 Mean :-0.02300
## 3rd Qu.: 0.14500 3rd Qu.: 0.21500 3rd Qu.: 0.29502 3rd Qu.: 0.15500
## Max. : 0.95500 Max. : 2.30000 Max. : 1.56002 Max. : 0.86002
## data.1216 data.1217 data.1218 data.1219
## Min. :-1.260000 Min. :-0.9700 Min. :-1.0600000 Min. :-0.7450
## 1st Qu.:-0.252500 1st Qu.:-0.4163 1st Qu.:-0.2625146 1st Qu.:-0.4037
## Median :-0.015000 Median :-0.0800 Median :-0.0000098 Median : 0.0150
## Mean : 0.006498 Mean :-0.1056 Mean :-0.0597515 Mean : 0.0355
## 3rd Qu.: 0.432476 3rd Qu.: 0.1625 3rd Qu.: 0.2025000 3rd Qu.: 0.2650
## Max. : 0.900000 Max. : 0.7900 Max. : 0.9900000 Max. : 1.6600
## data.1220 data.1221 data.1222 data.1223
## Min. :-0.86000 Min. :-0.93000 Min. :-0.800000 Min. :-0.9300
## 1st Qu.:-0.17501 1st Qu.:-0.25000 1st Qu.:-0.212500 1st Qu.:-0.3125
## Median : 0.00000 Median :-0.00500 Median :-0.030000 Median :-0.0400
## Mean : 0.03225 Mean :-0.06988 Mean :-0.008877 Mean :-0.0435
## 3rd Qu.: 0.23251 3rd Qu.: 0.07500 3rd Qu.: 0.257500 3rd Qu.: 0.2575
## Max. : 0.77000 Max. : 0.70000 Max. : 0.900000 Max. : 0.6700
## data.1224 data.1225 data.1226 data.1227
## Min. :-1.63500 Min. :-1.0300 Min. :-1.07498 Min. :-1.01501
## 1st Qu.:-0.48500 1st Qu.:-0.1950 1st Qu.:-0.37248 1st Qu.:-0.28001
## Median : 0.01501 Median : 0.0175 Median :-0.08000 Median :-0.04001
## Mean :-0.12650 Mean : 0.0445 Mean :-0.09323 Mean : 0.07361
## 3rd Qu.: 0.29750 3rd Qu.: 0.3000 3rd Qu.: 0.17752 3rd Qu.: 0.35749
## Max. : 1.12500 Max. : 0.9500 Max. : 0.60502 Max. : 1.78499
## data.1228 data.1229 data.1230 data.1231
## Min. :-1.16500 Min. :-0.81000 Min. :-0.74000 Min. :-0.72500
## 1st Qu.:-0.28125 1st Qu.:-0.18125 1st Qu.:-0.30500 1st Qu.:-0.32000
## Median : 0.03000 Median :-0.02000 Median :-0.05001 Median :-0.02500
## Mean : 0.06675 Mean :-0.02288 Mean :-0.08988 Mean :-0.05463
## 3rd Qu.: 0.21250 3rd Qu.: 0.10250 3rd Qu.: 0.12500 3rd Qu.: 0.21247
## Max. : 2.81000 Max. : 0.62000 Max. : 0.65000 Max. : 0.98000
## data.1232 data.1233 data.1234 data.1235
## Min. :-1.4000 Min. :-1.1600 Min. :-0.80998 Min. :-0.975000
## 1st Qu.:-0.4625 1st Qu.:-0.5400 1st Qu.:-0.49998 1st Qu.:-0.295005
## Median :-0.0050 Median :-0.0450 Median :-0.05998 Median : 0.005000
## Mean :-0.1175 Mean :-0.1385 Mean :-0.07898 Mean :-0.002752
## 3rd Qu.: 0.1725 3rd Qu.: 0.1625 3rd Qu.: 0.20252 3rd Qu.: 0.335000
## Max. : 1.0100 Max. : 1.2100 Max. : 1.47002 Max. : 1.075000
## data.1236 data.1237 data.1238 data.1239
## Min. :-0.9450 Min. :-1.26000 Min. :-1.66250 Min. :-1.35000
## 1st Qu.:-0.3150 1st Qu.:-0.46250 1st Qu.:-0.32375 1st Qu.:-0.31000
## Median :-0.0900 Median :-0.01499 Median :-0.00375 Median : 0.00000
## Mean :-0.0170 Mean :-0.01725 Mean :-0.04138 Mean :-0.01738
## 3rd Qu.: 0.3375 3rd Qu.: 0.36500 3rd Qu.: 0.36000 3rd Qu.: 0.29499
## Max. : 1.2500 Max. : 1.11000 Max. : 1.13748 Max. : 1.43998
## data.1240 data.1241 data.1242 data.1243
## Min. :-0.72502 Min. :-1.1150 Min. :-1.37000 Min. :-1.35000
## 1st Qu.:-0.24252 1st Qu.:-0.3800 1st Qu.:-0.19500 1st Qu.:-0.26500
## Median : 0.03497 Median :-0.1000 Median : 0.00000 Median :-0.03001
## Mean : 0.03373 Mean :-0.0445 Mean :-0.06913 Mean :-0.06050
## 3rd Qu.: 0.24498 3rd Qu.: 0.2662 3rd Qu.: 0.21000 3rd Qu.: 0.17750
## Max. : 0.86996 Max. : 1.4800 Max. : 1.31998 Max. : 0.62000
## data.1244 data.1245 data.1246 data.1247
## Min. :-1.15499 Min. :-1.01000 Min. :-0.84500 Min. :-1.78994
## 1st Qu.:-0.24999 1st Qu.:-0.23000 1st Qu.:-0.31250 1st Qu.:-0.49996
## Median : 0.00000 Median : 0.00000 Median : 0.08000 Median :-0.03746
## Mean :-0.01074 Mean :-0.06463 Mean :-0.03888 Mean :-0.10671
## 3rd Qu.: 0.28751 3rd Qu.: 0.12500 3rd Qu.: 0.24000 3rd Qu.: 0.35504
## Max. : 0.74501 Max. : 0.63000 Max. : 0.62500 Max. : 1.25002
## data.1248 data.1249 data.1250 data.1251
## Min. :-0.8800 Min. :-1.06000 Min. :-0.67000 Min. :-0.97000
## 1st Qu.:-0.2125 1st Qu.:-0.29750 1st Qu.:-0.26500 1st Qu.:-0.23250
## Median :-0.0350 Median :-0.10001 Median :-0.05500 Median :-0.03000
## Mean :-0.0510 Mean :-0.08475 Mean :-0.03163 Mean : 0.02525
## 3rd Qu.: 0.0900 3rd Qu.: 0.15250 3rd Qu.: 0.13500 3rd Qu.: 0.28002
## Max. : 0.6600 Max. : 0.64998 Max. : 0.72500 Max. : 0.88000
## data.1252 data.1253 data.1254 data.1255
## Min. :-0.63000 Min. :-1.8100 Min. :-1.685 Min. :-0.9200
## 1st Qu.:-0.18250 1st Qu.:-0.3225 1st Qu.:-0.355 1st Qu.:-0.2988
## Median : 0.00000 Median : 0.0250 Median : 0.100 Median :-0.0200
## Mean : 0.06725 Mean : 0.1005 Mean : 0.143 Mean :-0.0515
## 3rd Qu.: 0.32000 3rd Qu.: 0.5400 3rd Qu.: 0.620 3rd Qu.: 0.2225
## Max. : 0.62002 Max. : 1.2300 Max. : 1.405 Max. : 0.7700
## data.1256 data.1257 data.1258 data.1259
## Min. :-0.9400 Min. :-0.86000 Min. :-1.040000 Min. :-0.78000
## 1st Qu.:-0.3225 1st Qu.:-0.30250 1st Qu.:-0.227510 1st Qu.:-0.21250
## Median : 0.0000 Median : 0.00000 Median :-0.035000 Median : 0.00000
## Mean :-0.0700 Mean :-0.01862 Mean : 0.002498 Mean :-0.04375
## 3rd Qu.: 0.1625 3rd Qu.: 0.17250 3rd Qu.: 0.165020 3rd Qu.: 0.10250
## Max. : 0.8300 Max. : 0.86998 Max. : 0.890000 Max. : 0.57000
## data.1260 data.1261 data.1262 data.1263
## Min. :-0.947500 Min. :-0.86252 Min. :-0.87501 Min. :-0.88498
## 1st Qu.:-0.157500 1st Qu.:-0.26001 1st Qu.:-0.26004 1st Qu.:-0.32246
## Median : 0.037510 Median : 0.01000 Median : 0.00000 Median :-0.00251
## Mean : 0.007749 Mean :-0.06225 Mean :-0.02151 Mean :-0.04823
## 3rd Qu.: 0.232500 3rd Qu.: 0.12750 3rd Qu.: 0.25499 3rd Qu.: 0.23002
## Max. : 0.652500 Max. : 0.72752 Max. : 0.87499 Max. : 0.82500
## data.1264 data.1265 data.1266 data.1267
## Min. :-0.8550 Min. :-0.99000 Min. :-1.35000 Min. :-0.93498
## 1st Qu.:-0.2425 1st Qu.:-0.14500 1st Qu.:-0.35250 1st Qu.:-0.27499
## Median :-0.0125 Median :-0.01500 Median :-0.05499 Median : 0.00749
## Mean : 0.0345 Mean :-0.02625 Mean :-0.06125 Mean : 0.01277
## 3rd Qu.: 0.2737 3rd Qu.: 0.07749 3rd Qu.: 0.18000 3rd Qu.: 0.20502
## Max. : 1.0450 Max. : 1.32998 Max. : 1.36998 Max. : 2.11500
## data.1268 data.1269 data.1270 data.1271
## Min. :-0.78000 Min. :-1.0300 Min. :-0.98999 Min. :-1.51000
## 1st Qu.:-0.18250 1st Qu.:-0.2525 1st Qu.:-0.45499 1st Qu.:-0.29750
## Median : 0.00000 Median : 0.0250 Median : 0.00000 Median :-0.03000
## Mean : 0.05812 Mean : 0.0520 Mean :-0.04649 Mean :-0.04975
## 3rd Qu.: 0.17000 3rd Qu.: 0.3075 3rd Qu.: 0.27501 3rd Qu.: 0.27750
## Max. : 2.10998 Max. : 2.1500 Max. : 0.88001 Max. : 0.90000
## data.1272 data.1273 data.1274 data.1275
## Min. :-0.760000 Min. :-0.77000 Min. :-0.90000 Min. :-1.73998
## 1st Qu.:-0.233750 1st Qu.:-0.23250 1st Qu.:-0.24498 1st Qu.:-0.30998
## Median :-0.005000 Median :-0.01752 Median : 0.01502 Median : 0.05002
## Mean :-0.004502 Mean : 0.02150 Mean : 0.03227 Mean : 0.05127
## 3rd Qu.: 0.184990 3rd Qu.: 0.19251 3rd Qu.: 0.29002 3rd Qu.: 0.47501
## Max. : 1.010000 Max. : 1.16000 Max. : 0.95002 Max. : 1.48002
## data.1276 data.1277 data.1278 data.1279
## Min. :-1.28500 Min. :-1.18000 Min. :-1.19748 Min. :-1.59998
## 1st Qu.:-0.34750 1st Qu.:-0.32750 1st Qu.:-0.32253 1st Qu.:-0.17752
## Median : 0.05500 Median :-0.00500 Median :-0.03500 Median : 0.00000
## Mean :-0.03863 Mean :-0.07138 Mean :-0.07375 Mean :-0.01425
## 3rd Qu.: 0.33875 3rd Qu.: 0.29125 3rd Qu.: 0.26751 3rd Qu.: 0.28000
## Max. : 1.27500 Max. : 0.78998 Max. : 0.61250 Max. : 0.96000
## data.1280 data.1281 data.1282 data.1283
## Min. :-1.6350 Min. :-0.73000 Min. :-1.00000 Min. :-1.070
## 1st Qu.:-0.2925 1st Qu.:-0.22250 1st Qu.:-0.37000 1st Qu.:-0.340
## Median :-0.0700 Median :-0.00500 Median :-0.04499 Median :-0.040
## Mean :-0.1061 Mean : 0.04125 Mean :-0.09600 Mean :-0.093
## 3rd Qu.: 0.1250 3rd Qu.: 0.33875 3rd Qu.: 0.17500 3rd Qu.: 0.180
## Max. : 0.7250 Max. : 0.62998 Max. : 0.51000 Max. : 0.610
## data.1284 data.1285 data.1286 data.1287
## Min. :-1.05000 Min. :-1.3500 Min. :-1.1700 Min. :-1.550000
## 1st Qu.:-0.28750 1st Qu.:-0.4225 1st Qu.:-0.3325 1st Qu.:-0.430000
## Median :-0.08250 Median :-0.0750 Median :-0.0525 Median : 0.000000
## Mean :-0.05975 Mean :-0.1504 Mean :-0.0865 Mean : 0.008499
## 3rd Qu.: 0.16750 3rd Qu.: 0.1350 3rd Qu.: 0.2625 3rd Qu.: 0.560000
## Max. : 0.87500 Max. : 0.5600 Max. : 0.9100 Max. : 1.440000
## data.1288 data.1289 data.1290 data.1291
## Min. :-1.45002 Min. :-1.115 Min. :-1.41003 Min. :-1.3900
## 1st Qu.:-0.42000 1st Qu.:-0.415 1st Qu.:-0.33251 1st Qu.:-0.4225
## Median :-0.05000 Median :-0.060 Median :-0.07000 Median :-0.2300
## Mean :-0.01225 Mean :-0.068 Mean :-0.02376 Mean :-0.1750
## 3rd Qu.: 0.45750 3rd Qu.: 0.280 3rd Qu.: 0.30249 3rd Qu.: 0.1775
## Max. : 1.41000 Max. : 0.805 Max. : 0.84999 Max. : 0.8100
## data.1292 data.1293 data.1294 data.1295
## Min. :-0.9750 Min. :-0.7600098 Min. :-1.3700 Min. :-1.1800
## 1st Qu.:-0.2675 1st Qu.:-0.3675098 1st Qu.:-0.4500 1st Qu.:-0.3113
## Median :-0.0700 Median :-0.1400098 Median :-0.1400 Median :-0.1300
## Mean :-0.0335 Mean : 0.0004887 Mean :-0.1603 Mean :-0.1163
## 3rd Qu.: 0.2350 3rd Qu.: 0.3049902 3rd Qu.: 0.1375 3rd Qu.: 0.1025
## Max. : 1.3250 Max. : 1.1000100 Max. : 0.8600 Max. : 0.7600
## data.1296 data.1297 data.1298 data.1299
## Min. :-2.0700 Min. :-0.96500 Min. :-0.9500098 Min. :-0.62500
## 1st Qu.:-0.5650 1st Qu.:-0.35750 1st Qu.:-0.3400147 1st Qu.:-0.45125
## Median :-0.0300 Median :-0.02250 Median : 0.0000049 Median :-0.01000
## Mean :-0.1523 Mean :-0.05438 Mean :-0.0285098 Mean :-0.05575
## 3rd Qu.: 0.2425 3rd Qu.: 0.33500 3rd Qu.: 0.2699902 3rd Qu.: 0.25750
## Max. : 1.6000 Max. : 0.72500 Max. : 0.8599902 Max. : 0.67498
## data.1300 data.1301 data.1302 data.1303
## Min. :-1.26000 Min. :-0.86500 Min. :-0.79000 Min. :-0.66998
## 1st Qu.:-0.30500 1st Qu.:-0.41750 1st Qu.:-0.31501 1st Qu.:-0.41000
## Median :-0.10999 Median :-0.07000 Median :-0.04001 Median :-0.05000
## Mean :-0.04775 Mean :-0.05875 Mean :-0.08200 Mean :-0.06988
## 3rd Qu.: 0.24750 3rd Qu.: 0.25501 3rd Qu.: 0.12750 3rd Qu.: 0.14250
## Max. : 1.29000 Max. : 1.31000 Max. : 1.33000 Max. : 1.31000
## data.1304 data.1305 data.1306 data.1307
## Min. :-1.090020 Min. :-1.04500 Min. :-0.75500 Min. :-1.15500
## 1st Qu.:-0.298750 1st Qu.:-0.18000 1st Qu.:-0.30000 1st Qu.:-0.35625
## Median :-0.080010 Median :-0.01750 Median : 0.00000 Median : 0.13500
## Mean : 0.006999 Mean : 0.02512 Mean : 0.01975 Mean :-0.03375
## 3rd Qu.: 0.305000 3rd Qu.: 0.28000 3rd Qu.: 0.25750 3rd Qu.: 0.29000
## Max. : 1.710000 Max. : 0.83496 Max. : 1.14500 Max. : 0.81500
## data.1308 data.1309 data.1310 data.1311
## Min. :-1.10500 Min. :-0.80000 Min. :-1.27000 Min. :-2.29500
## 1st Qu.:-0.28625 1st Qu.:-0.30500 1st Qu.:-0.37248 1st Qu.:-0.36000
## Median : 0.00750 Median : 0.00000 Median :-0.03499 Median :-0.07749
## Mean : 0.02775 Mean :-0.02325 Mean :-0.10373 Mean :-0.06300
## 3rd Qu.: 0.38997 3rd Qu.: 0.22500 3rd Qu.: 0.19627 3rd Qu.: 0.22125
## Max. : 1.00500 Max. : 0.62000 Max. : 0.55002 Max. : 1.42502
## data.1312 data.1313 data.1314 data.1315
## Min. :-1.24500 Min. :-0.76000 Min. :-1.32998 Min. :-1.3300
## 1st Qu.:-0.24250 1st Qu.:-0.25000 1st Qu.:-0.39248 1st Qu.:-0.4400
## Median :-0.03001 Median : 0.00000 Median :-0.03998 Median :-0.0875
## Mean :-0.02450 Mean : 0.03925 Mean :-0.03811 Mean :-0.0910
## 3rd Qu.: 0.25874 3rd Qu.: 0.27250 3rd Qu.: 0.20502 3rd Qu.: 0.1850
## Max. : 1.10000 Max. : 1.03000 Max. : 1.17002 Max. : 0.8700
## data.1316 data.1317 data.1318 data.1319
## Min. :-1.25502 Min. :-0.98500 Min. :-1.1600 Min. :-1.130000
## 1st Qu.:-0.39500 1st Qu.:-0.26000 1st Qu.:-0.2525 1st Qu.:-0.262500
## Median :-0.10000 Median :-0.03499 Median :-0.0200 Median :-0.100000
## Mean :-0.06913 Mean : 0.01575 Mean : 0.0255 Mean :-0.002752
## 3rd Qu.: 0.22000 3rd Qu.: 0.37750 3rd Qu.: 0.3075 3rd Qu.: 0.325000
## Max. : 1.02500 Max. : 1.13500 Max. : 1.1700 Max. : 1.630000
## data.1320 data.1321 data.1322 data.1323
## Min. :-0.68000 Min. :-0.5400000 Min. :-1.2450 Min. :-0.97000
## 1st Qu.:-0.24500 1st Qu.:-0.2625000 1st Qu.:-0.4000 1st Qu.:-0.41750
## Median :-0.05501 Median :-0.0950000 Median :-0.1750 Median :-0.06500
## Mean :-0.01425 Mean : 0.0004985 Mean :-0.1393 Mean :-0.08325
## 3rd Qu.: 0.23250 3rd Qu.: 0.1425000 3rd Qu.: 0.2075 3rd Qu.: 0.15749
## Max. : 0.96000 Max. : 1.0500000 Max. : 0.7150 Max. : 1.07000
## data.1324 data.1325 data.1326 data.1327
## Min. :-0.7000195 Min. :-0.96500 Min. :-1.0950 Min. :-0.89002
## 1st Qu.:-0.3050195 1st Qu.:-0.44251 1st Qu.:-0.4875 1st Qu.:-0.24500
## Median :-0.0000195 Median :-0.09500 Median :-0.0025 Median : 0.00000
## Mean : 0.0964790 Mean :-0.06775 Mean :-0.1079 Mean : 0.01675
## 3rd Qu.: 0.5599805 3rd Qu.: 0.23000 3rd Qu.: 0.1475 3rd Qu.: 0.23000
## Max. : 1.1799800 Max. : 1.10500 Max. : 1.0150 Max. : 1.17000
## data.1328 data.1329 data.1330 data.1331
## Min. :-0.8550 Min. :-0.665000 Min. :-1.11499 Min. :-1.49501
## 1st Qu.:-0.3275 1st Qu.:-0.284985 1st Qu.:-0.46000 1st Qu.:-0.31749
## Median :-0.0650 Median :-0.032500 Median :-0.11999 Median : 0.00000
## Mean :-0.0435 Mean :-0.009876 Mean : 0.03326 Mean :-0.05599
## 3rd Qu.: 0.1625 3rd Qu.: 0.240000 3rd Qu.: 0.47501 3rd Qu.: 0.31501
## Max. : 0.7150 Max. : 0.745000 Max. : 1.70501 Max. : 1.23501
## data.1332 data.1333 data.1334 data.1335
## Min. :-0.81500 Min. :-1.2800 Min. :-1.63000 Min. :-0.94000
## 1st Qu.:-0.26750 1st Qu.:-0.3725 1st Qu.:-0.51252 1st Qu.:-0.31250
## Median :-0.06500 Median : 0.0000 Median :-0.08501 Median :-0.03500
## Mean :-0.05813 Mean : 0.1519 Mean :-0.02125 Mean :-0.05375
## 3rd Qu.: 0.12125 3rd Qu.: 0.4925 3rd Qu.: 0.31875 3rd Qu.: 0.28625
## Max. : 0.57500 Max. : 3.2500 Max. : 3.28500 Max. : 0.67000
## data.1336 data.1337 data.1338 data.1339
## Min. :-1.0300 Min. :-0.865 Min. :-1.289990 Min. :-1.330000
## 1st Qu.:-0.4150 1st Qu.:-0.235 1st Qu.:-0.224990 1st Qu.:-0.225005
## Median :-0.1450 Median : 0.000 Median : 0.025010 Median : 0.030000
## Mean :-0.1338 Mean : 0.020 Mean : 0.004758 Mean : 0.002498
## 3rd Qu.: 0.1850 3rd Qu.: 0.315 3rd Qu.: 0.232481 3rd Qu.: 0.272515
## Max. : 0.7250 Max. : 0.930 Max. : 0.780010 Max. : 0.685000
## data.1340 data.1341 data.1342 data.1343
## Min. :-1.125000 Min. :-1.0600 Min. :-1.01000 Min. :-1.0600
## 1st Qu.:-0.222500 1st Qu.:-0.1125 1st Qu.:-0.28750 1st Qu.:-0.3300
## Median : 0.025000 Median : 0.0650 Median : 0.01000 Median :-0.0400
## Mean :-0.003126 Mean : 0.0755 Mean :-0.04675 Mean :-0.0830
## 3rd Qu.: 0.292500 3rd Qu.: 0.3175 3rd Qu.: 0.16000 3rd Qu.: 0.2425
## Max. : 0.515000 Max. : 0.7300 Max. : 0.52000 Max. : 0.8600
## data.1344 data.1345 data.1346 data.1347
## Min. :-1.2100 Min. :-1.210000 Min. :-2.1850 Min. :-1.690000
## 1st Qu.:-0.3425 1st Qu.:-0.280000 1st Qu.:-0.7900 1st Qu.:-0.272500
## Median :-0.0300 Median :-0.040010 Median :-0.0400 Median :-0.045000
## Mean :-0.0950 Mean :-0.005126 Mean :-0.1915 Mean : 0.008249
## 3rd Qu.: 0.2825 3rd Qu.: 0.212500 3rd Qu.: 0.5050 3rd Qu.: 0.370000
## Max. : 0.8800 Max. : 1.430000 Max. : 1.4550 Max. : 0.930000
## data.1348 data.1349 data.1350 data.1351
## Min. :-1.42000 Min. :-1.6750 Min. :-1.85000 Min. :-2.1200
## 1st Qu.:-0.28000 1st Qu.:-0.4600 1st Qu.:-0.17500 1st Qu.:-0.6200
## Median : 0.02000 Median :-0.0350 Median : 0.03999 Median : 0.0000
## Mean :-0.08025 Mean :-0.1688 Mean :-0.03000 Mean : 0.1716
## 3rd Qu.: 0.33250 3rd Qu.: 0.2600 3rd Qu.: 0.26250 3rd Qu.: 1.0700
## Max. : 0.70000 Max. : 0.5600 Max. : 1.13000 Max. : 2.6300
## data.1352 data.1353 data.1354 data.1355
## Min. :-1.2100 Min. :-0.71002 Min. :-0.70500 Min. :-0.8600000
## 1st Qu.:-0.2925 1st Qu.:-0.19751 1st Qu.:-0.40000 1st Qu.:-0.1625000
## Median :-0.0250 Median : 0.02000 Median :-0.05501 Median : 0.0000000
## Mean :-0.0555 Mean : 0.01575 Mean :-0.01450 Mean :-0.0002515
## 3rd Qu.: 0.1625 3rd Qu.: 0.25750 3rd Qu.: 0.32999 3rd Qu.: 0.2600146
## Max. : 0.7200 Max. : 0.79000 Max. : 0.97000 Max. : 0.6600000
## data.1356 data.1357 data.1358 data.1359
## Min. :-1.43000 Min. :-0.87996 Min. :-0.92498 Min. :-1.07500
## 1st Qu.:-0.46001 1st Qu.:-0.24496 1st Qu.:-0.33499 1st Qu.:-0.40750
## Median :-0.00500 Median :-0.03998 Median :-0.11497 Median :-0.01000
## Mean :-0.09375 Mean :-0.01521 Mean :-0.07848 Mean :-0.08625
## 3rd Qu.: 0.18125 3rd Qu.: 0.18504 3rd Qu.: 0.23002 3rd Qu.: 0.22247
## Max. : 1.35000 Max. : 0.93004 Max. : 1.11502 Max. : 0.75500
## data.1360 data.1361 data.1362 data.1363
## Min. :-0.75000 Min. :-1.0300 Min. :-0.9300 Min. :-1.17000
## 1st Qu.:-0.19375 1st Qu.:-0.3875 1st Qu.:-0.3975 1st Qu.:-0.32125
## Median :-0.01000 Median :-0.0050 Median :-0.0250 Median :-0.07000
## Mean :-0.03225 Mean :-0.1068 Mean :-0.1115 Mean :-0.12988
## 3rd Qu.: 0.10249 3rd Qu.: 0.1475 3rd Qu.: 0.1900 3rd Qu.: 0.06999
## Max. : 0.66000 Max. : 0.7100 Max. : 0.6700 Max. : 1.41000
## data.1364 data.1365 data.1366 data.1367
## Min. :-0.70500 Min. :-0.5950 Min. :-1.0300 Min. :-1.0050
## 1st Qu.:-0.25500 1st Qu.:-0.2725 1st Qu.:-0.3700 1st Qu.:-0.5900
## Median :-0.04000 Median : 0.0350 Median : 0.0050 Median :-0.0525
## Mean : 0.02575 Mean : 0.1587 Mean :-0.0355 Mean :-0.1843
## 3rd Qu.: 0.36500 3rd Qu.: 0.4975 3rd Qu.: 0.3125 3rd Qu.: 0.0975
## Max. : 0.86500 Max. : 1.5500 Max. : 0.9300 Max. : 0.6150
## data.1368 data.1369 data.1370 data.1371
## Min. :-1.3400 Min. :-1.17002 Min. :-1.13000 Min. :-1.40250
## 1st Qu.:-0.4762 1st Qu.:-0.27252 1st Qu.:-0.38625 1st Qu.:-0.46500
## Median :-0.1200 Median :-0.09002 Median : 0.04500 Median :-0.01000
## Mean :-0.1105 Mean :-0.07402 Mean :-0.01675 Mean :-0.02181
## 3rd Qu.: 0.2625 3rd Qu.: 0.12873 3rd Qu.: 0.31125 3rd Qu.: 0.36500
## Max. : 0.9200 Max. : 0.95998 Max. : 1.15000 Max. : 1.02750
## data.1372 data.1373 data.1374 data.1375
## Min. :-1.60000 Min. :-1.14000 Min. :-0.960000 Min. :-1.34998
## 1st Qu.:-0.32499 1st Qu.:-0.36000 1st Qu.:-0.280000 1st Qu.:-0.38748
## Median :-0.08999 Median : 0.00000 Median :-0.054990 Median : 0.01001
## Mean :-0.06300 Mean :-0.05488 Mean : 0.009874 Mean :-0.08486
## 3rd Qu.: 0.29499 3rd Qu.: 0.35499 3rd Qu.: 0.352500 3rd Qu.: 0.25251
## Max. : 1.18500 Max. : 1.05998 Max. : 1.049980 Max. : 0.68002
## data.1376 data.1377 data.1378 data.1379
## Min. :-0.670000 Min. :-1.90000 Min. :-1.015010 Min. :-3.3700
## 1st Qu.:-0.220000 1st Qu.:-0.33001 1st Qu.:-0.195010 1st Qu.:-0.6525
## Median :-0.060000 Median :-0.02500 Median : 0.000000 Median :-0.1750
## Mean : 0.003749 Mean :-0.07638 Mean : 0.009495 Mean :-0.3178
## 3rd Qu.: 0.195000 3rd Qu.: 0.24500 3rd Qu.: 0.000000 3rd Qu.: 0.2013
## Max. : 0.970000 Max. : 1.17000 Max. : 1.544990 Max. : 0.8900
## data.1380 data.1381 data.1382
## Min. :-0.9600195 Min. :-1.69500 Min. :-0.850000
## 1st Qu.:-0.3225195 1st Qu.:-0.16250 1st Qu.: 0.000000
## Median :-0.0000098 Median : 0.00000 Median : 0.000000
## Mean : 0.1919800 Mean :-0.09525 Mean : 0.004999
## 3rd Qu.: 0.6324658 3rd Qu.: 0.13000 3rd Qu.: 0.000000
## Max. : 1.8799800 Max. : 0.98496 Max. : 1.220000
## data.1383 data.1384 data.1385 data.1386
## Min. :-1.720000 Min. :-1.19002 Min. :-2.6900 Min. :-1.41000
## 1st Qu.:-0.267500 1st Qu.:-0.39750 1st Qu.:-0.4525 1st Qu.:-0.30000
## Median : 0.000000 Median : 0.00000 Median : 0.0150 Median : 0.00000
## Mean :-0.003876 Mean : 0.08225 Mean :-0.1068 Mean : 0.04187
## 3rd Qu.: 0.250000 3rd Qu.: 0.54250 3rd Qu.: 0.3550 3rd Qu.: 0.59750
## Max. : 2.000000 Max. : 1.74000 Max. : 0.9050 Max. : 1.18998
## data.1387 data.1388 data.1389 data.1390
## Min. :-2.2100 Min. :-1.3000 Min. :-1.64002 Min. :-1.67000
## 1st Qu.:-0.3075 1st Qu.:-0.4800 1st Qu.:-0.54500 1st Qu.:-0.60250
## Median : 0.0000 Median : 0.0000 Median : 0.00000 Median : 0.00000
## Mean : 0.1041 Mean : 0.1067 Mean : 0.02025 Mean : 0.01925
## 3rd Qu.: 0.5550 3rd Qu.: 0.7250 3rd Qu.: 0.74375 3rd Qu.: 0.71251
## Max. : 2.9700 Max. : 2.1400 Max. : 1.71000 Max. : 1.70996
## data.1391 data.1392 data.1393 data.1394
## Min. :-1.7150 Min. :-1.2500 Min. :-1.34996 Min. :-2.1800
## 1st Qu.:-0.5925 1st Qu.:-0.2975 1st Qu.:-0.46496 1st Qu.:-0.4300
## Median : 0.0000 Median :-0.0050 Median : 0.00000 Median : 0.0000
## Mean : 0.2472 Mean : 0.0080 Mean :-0.07872 Mean :-0.1729
## 3rd Qu.: 0.7725 3rd Qu.: 0.1700 3rd Qu.: 0.23004 3rd Qu.: 0.1150
## Max. : 4.9550 Max. : 1.8200 Max. : 2.10004 Max. : 0.8600
## data.1395 data.1396 data.1397 data.1398
## Min. :-1.1200000 Min. :-2.6400 Min. :-0.70002 Min. :-2.9200
## 1st Qu.:-0.3950000 1st Qu.:-0.2950 1st Qu.:-0.27000 1st Qu.:-0.4175
## Median :-0.0000098 Median :-0.0075 Median : 0.00000 Median :-0.0200
## Mean :-0.0481260 Mean : 0.1017 Mean :-0.05588 Mean :-0.1181
## 3rd Qu.: 0.3075000 3rd Qu.: 0.4650 3rd Qu.: 0.13750 3rd Qu.: 0.2650
## Max. : 1.2600000 Max. : 3.2000 Max. : 0.79000 Max. : 1.1900
## data.1399 data.1400 data.1401 data.1402
## Min. :-2.27003 Min. :-2.0700 Min. :-1.910000 Min. :-1.4200
## 1st Qu.:-0.48501 1st Qu.:-0.5537 1st Qu.:-0.582500 1st Qu.:-0.4400
## Median : 0.00000 Median :-0.1150 Median :-0.010000 Median :-0.0250
## Mean :-0.01951 Mean :-0.1950 Mean :-0.001502 Mean : 0.1092
## 3rd Qu.: 0.19497 3rd Qu.: 0.1925 3rd Qu.: 0.539980 3rd Qu.: 0.7925
## Max. : 2.06999 Max. : 1.7400 Max. : 1.710000 Max. : 2.0300
## data.1403 data.1404 data.1405 data.1406
## Min. :-1.6400 Min. :-1.9850 Min. :-1.19000 Min. :-1.640000
## 1st Qu.:-0.6775 1st Qu.:-0.5775 1st Qu.:-0.27750 1st Qu.:-0.399985
## Median :-0.1150 Median :-0.0100 Median : 0.00000 Median :-0.005000
## Mean :-0.1446 Mean :-0.0265 Mean :-0.08113 Mean : 0.007624
## 3rd Qu.: 0.3950 3rd Qu.: 0.4925 3rd Qu.: 0.21251 3rd Qu.: 0.457500
## Max. : 1.9900 Max. : 2.0750 Max. : 1.19000 Max. : 1.940000
## data.1407 data.1408 data.1409 data.1410
## Min. :-2.02500 Min. :-1.3499900 Min. :-1.165029 Min. :-1.49000
## 1st Qu.:-0.49501 1st Qu.:-0.3524902 1st Qu.:-0.003748 1st Qu.:-0.49626
## Median :-0.11500 Median :-0.0000049 Median : 0.000000 Median :-0.02000
## Mean :-0.02413 Mean :-0.0993674 Mean :-0.060505 Mean : 0.01025
## 3rd Qu.: 0.36000 3rd Qu.: 0.1625147 3rd Qu.: 0.003748 3rd Qu.: 0.47500
## Max. : 2.17500 Max. : 1.4200100 Max. : 0.664990 Max. : 1.75500
## data.1411 data.1412 data.1413 data.1414
## Min. :-1.38499 Min. :-0.95000 Min. :-1.124990 Min. :-1.05250
## 1st Qu.:-0.57999 1st Qu.:-0.33750 1st Qu.:-0.284990 1st Qu.:-0.28500
## Median :-0.04750 Median : 0.02000 Median : 0.004990 Median :-0.05500
## Mean :-0.06974 Mean :-0.01238 Mean : 0.004008 Mean : 0.02837
## 3rd Qu.: 0.46001 3rd Qu.: 0.17250 3rd Qu.: 0.337495 3rd Qu.: 0.39750
## Max. : 1.74001 Max. : 1.43000 Max. : 1.225010 Max. : 1.53750
## data.1415 data.1416 data.1417 data.1418
## Min. :-0.73498 Min. :-1.0100 Min. :-1.2500 Min. :-0.969990
## 1st Qu.:-0.29498 1st Qu.:-0.4750 1st Qu.:-0.4325 1st Qu.:-0.287490
## Median :-0.02498 Median :-0.0800 Median :-0.1350 Median : 0.000000
## Mean :-0.04373 Mean :-0.1324 Mean :-0.1203 Mean : 0.002509
## 3rd Qu.: 0.15002 3rd Qu.: 0.1200 3rd Qu.: 0.2150 3rd Qu.: 0.305015
## Max. : 0.92002 Max. : 0.7400 Max. : 0.9600 Max. : 0.810010
## data.1419 data.1420 data.1421 data.1422
## Min. :-0.88999 Min. :-0.84502 Min. :-0.705010 Min. :-0.74000
## 1st Qu.:-0.22749 1st Qu.:-0.32500 1st Qu.:-0.307505 1st Qu.:-0.30500
## Median : 0.00500 Median :-0.05500 Median :-0.002505 Median :-0.04002
## Mean : 0.02401 Mean :-0.01125 Mean : 0.020739 Mean :-0.02850
## 3rd Qu.: 0.31001 3rd Qu.: 0.26500 3rd Qu.: 0.224990 3rd Qu.: 0.13000
## Max. : 0.92001 Max. : 0.83500 Max. : 1.394990 Max. : 1.14000
## data.1423 data.1424 data.1425 data.1426
## Min. :-0.93000 Min. :-1.175000 Min. :-0.6200 Min. :-0.78501
## 1st Qu.:-0.36000 1st Qu.:-0.157500 1st Qu.:-0.1975 1st Qu.:-0.30251
## Median :-0.05001 Median :-0.035000 Median :-0.0250 Median :-0.08251
## Mean :-0.10625 Mean :-0.004751 Mean : 0.0275 Mean :-0.06601
## 3rd Qu.: 0.11000 3rd Qu.: 0.217500 3rd Qu.: 0.2175 3rd Qu.: 0.15749
## Max. : 0.59000 Max. : 1.035000 Max. : 0.8200 Max. : 0.81499
## data.1427 data.1428 data.1429 data.1430
## Min. :-0.99250 Min. :-1.8450 Min. :-0.6150 Min. :-0.67000
## 1st Qu.:-0.28750 1st Qu.:-0.4800 1st Qu.:-0.2750 1st Qu.:-0.19500
## Median :-0.01749 Median :-0.0650 Median : 0.0450 Median : 0.00500
## Mean :-0.02475 Mean :-0.1238 Mean : 0.0640 Mean : 0.02475
## 3rd Qu.: 0.22749 3rd Qu.: 0.3300 3rd Qu.: 0.2575 3rd Qu.: 0.24500
## Max. : 0.73750 Max. : 1.1250 Max. : 1.7150 Max. : 1.33000
## data.1431 data.1432 data.1433 data.1434
## Min. :-1.11000 Min. :-0.9900 Min. :-0.82501 Min. :-1.03002
## 1st Qu.:-0.34375 1st Qu.:-0.3700 1st Qu.:-0.36126 1st Qu.:-0.20877
## Median :-0.02001 Median : 0.0050 Median :-0.08501 Median :-0.01504
## Mean :-0.07375 Mean :-0.0155 Mean :-0.01251 Mean : 0.03098
## 3rd Qu.: 0.18625 3rd Qu.: 0.3500 3rd Qu.: 0.40999 3rd Qu.: 0.34748
## Max. : 0.79000 Max. : 0.8500 Max. : 1.04499 Max. : 1.06998
## data.1435 data.1436 data.1437 data.1438
## Min. :-0.6550 Min. :-0.98998 Min. :-0.98998 Min. :-1.910000
## 1st Qu.:-0.2550 1st Qu.:-0.21748 1st Qu.:-0.35998 1st Qu.:-0.360000
## Median :-0.0350 Median : 0.06499 Median :-0.01499 Median :-0.005000
## Mean : 0.0250 Mean : 0.08352 Mean :-0.05698 Mean :-0.009751
## 3rd Qu.: 0.2675 3rd Qu.: 0.37502 3rd Qu.: 0.17252 3rd Qu.: 0.303750
## Max. : 1.0750 Max. : 1.68002 Max. : 0.99002 Max. : 1.470000
## data.1439 data.1440 data.1441 data.1442
## Min. :-0.8100 Min. :-1.42000 Min. :-1.025000 Min. :-0.980000
## 1st Qu.:-0.2263 1st Qu.:-0.40000 1st Qu.:-0.240000 1st Qu.:-0.312500
## Median : 0.0250 Median :-0.04000 Median :-0.012500 Median :-0.020000
## Mean : 0.0610 Mean :-0.04025 Mean :-0.005252 Mean :-0.007001
## 3rd Qu.: 0.3750 3rd Qu.: 0.26250 3rd Qu.: 0.240000 3rd Qu.: 0.247500
## Max. : 1.3900 Max. : 1.52000 Max. : 0.785000 Max. : 0.970000
## data.1443 data.1444 data.1445 data.1446
## Min. :-1.08000 Min. :-0.99248 Min. :-0.9375 Min. :-1.03497
## 1st Qu.:-0.28000 1st Qu.:-0.43250 1st Qu.:-0.4600 1st Qu.:-0.48749
## Median :-0.02500 Median :-0.09751 Median :-0.0125 Median :-0.05499
## Mean :-0.03425 Mean :-0.04100 Mean : 0.1462 Mean : 0.13501
## 3rd Qu.: 0.21999 3rd Qu.: 0.26750 3rd Qu.: 0.7775 3rd Qu.: 0.69251
## Max. : 0.96000 Max. : 0.92750 Max. : 1.3725 Max. : 1.39501
## data.1447 data.1448 data.1449 data.1450
## Min. :-1.01000 Min. :-0.62998 Min. :-0.5700 Min. :-1.2550
## 1st Qu.:-0.30252 1st Qu.:-0.29876 1st Qu.:-0.2275 1st Qu.:-0.3375
## Median :-0.06502 Median :-0.06500 Median :-0.0050 Median :-0.0200
## Mean :-0.05102 Mean :-0.07725 Mean : 0.0990 Mean : 0.0260
## 3rd Qu.: 0.18247 3rd Qu.: 0.15750 3rd Qu.: 0.3113 3rd Qu.: 0.2100
## Max. : 0.87996 Max. : 0.58000 Max. : 1.2200 Max. : 1.5750
## data.1451 data.1452 data.1453 data.1454
## Min. :-1.3600 Min. :-0.8800 Min. :-0.86000 Min. :-0.9050
## 1st Qu.:-0.3025 1st Qu.:-0.3000 1st Qu.:-0.21000 1st Qu.:-0.1837
## Median :-0.0050 Median :-0.0050 Median :-0.07000 Median :-0.0350
## Mean : 0.0535 Mean : 0.0685 Mean : 0.03975 Mean : 0.0530
## 3rd Qu.: 0.2225 3rd Qu.: 0.3600 3rd Qu.: 0.33625 3rd Qu.: 0.1975
## Max. : 1.4000 Max. : 1.5200 Max. : 0.85002 Max. : 1.4650
## data.1455 data.1456 data.1457 data.1458
## Min. :-0.96498 Min. :-0.995000 Min. :-1.0800 Min. :-0.875
## 1st Qu.:-0.16997 1st Qu.:-0.445000 1st Qu.:-0.3125 1st Qu.:-0.485
## Median : 0.05002 Median : 0.000000 Median :-0.0700 Median :-0.120
## Mean : 0.10977 Mean :-0.001252 Mean :-0.0795 Mean :-0.107
## 3rd Qu.: 0.49377 3rd Qu.: 0.293750 3rd Qu.: 0.1975 3rd Qu.: 0.130
## Max. : 1.24000 Max. : 1.255000 Max. : 1.2800 Max. : 1.420
## data.1459 data.1460 data.1461 data.1462
## Min. :-1.12002 Min. :-1.30999 Min. :-1.035 Min. :-0.865000
## 1st Qu.:-0.24750 1st Qu.:-0.43749 1st Qu.:-0.335 1st Qu.:-0.350000
## Median :-0.05501 Median :-0.06999 Median :-0.010 Median :-0.035000
## Mean :-0.06625 Mean :-0.18399 Mean :-0.081 Mean :-0.004502
## 3rd Qu.: 0.19000 3rd Qu.: 0.08251 3rd Qu.: 0.235 3rd Qu.: 0.310000
## Max. : 1.00000 Max. : 0.88001 Max. : 0.580 Max. : 0.894980
## data.1463 data.1464 data.1465 data.1466
## Min. :-1.3300 Min. :-0.90000 Min. :-1.04000 Min. :-1.1600
## 1st Qu.:-0.4200 1st Qu.:-0.28000 1st Qu.:-0.28000 1st Qu.:-0.3225
## Median :-0.0100 Median : 0.05000 Median :-0.00500 Median :-0.0300
## Mean :-0.0715 Mean : 0.01875 Mean :-0.05525 Mean : 0.0270
## 3rd Qu.: 0.3075 3rd Qu.: 0.22750 3rd Qu.: 0.18250 3rd Qu.: 0.4975
## Max. : 0.9700 Max. : 1.26000 Max. : 0.65000 Max. : 1.0200
## data.1467 data.1468 data.1469 data.1470
## Min. :-0.94500 Min. :-1.5900 Min. :-0.60000 Min. :-0.85000
## 1st Qu.:-0.29625 1st Qu.:-0.2200 1st Qu.:-0.20750 1st Qu.:-0.42000
## Median :-0.06001 Median :-0.0325 Median :-0.01002 Median :-0.20750
## Mean :-0.07175 Mean :-0.0505 Mean : 0.02750 Mean :-0.05575
## 3rd Qu.: 0.08750 3rd Qu.: 0.2050 3rd Qu.: 0.23125 3rd Qu.: 0.16000
## Max. : 0.92500 Max. : 0.7300 Max. : 0.99000 Max. : 1.33000
## data.1471 data.1472 data.1473 data.1474
## Min. :-1.08000 Min. :-1.5800 Min. :-1.05750 Min. :-1.31500
## 1st Qu.:-0.36000 1st Qu.:-0.3850 1st Qu.:-0.35000 1st Qu.:-0.62250
## Median :-0.00500 Median :-0.1250 Median :-0.07250 Median :-0.08500
## Mean :-0.01525 Mean :-0.1155 Mean :-0.02675 Mean :-0.06175
## 3rd Qu.: 0.38250 3rd Qu.: 0.1800 3rd Qu.: 0.34250 3rd Qu.: 0.38749
## Max. : 1.22002 Max. : 1.0700 Max. : 1.32250 Max. : 1.76000
## data.1475 data.1476 data.1477 data.1478
## Min. :-1.27000 Min. :-1.03000 Min. :-2.4700 Min. :-2.36498
## 1st Qu.:-0.54501 1st Qu.:-0.22750 1st Qu.:-0.9450 1st Qu.:-0.92998
## Median : 0.00000 Median :-0.05500 Median :-0.0750 Median : 0.00000
## Mean :-0.03775 Mean :-0.02038 Mean :-0.2173 Mean :-0.03174
## 3rd Qu.: 0.38000 3rd Qu.: 0.26750 3rd Qu.: 0.3675 3rd Qu.: 0.42002
## Max. : 1.44000 Max. : 1.12000 Max. : 1.5300 Max. : 3.03504
## data.1479 data.1480 data.1481 data.1482
## Min. :-1.5150 Min. :-1.06000 Min. :-1.7400 Min. :-0.76000
## 1st Qu.:-0.5713 1st Qu.:-0.39250 1st Qu.:-0.4125 1st Qu.:-0.30625
## Median :-0.1850 Median :-0.11500 Median :-0.1100 Median :-0.02999
## Mean :-0.1853 Mean :-0.06713 Mean :-0.1014 Mean :-0.09013
## 3rd Qu.: 0.2950 3rd Qu.: 0.19000 3rd Qu.: 0.1225 3rd Qu.: 0.01750
## Max. : 1.0150 Max. : 1.71998 Max. : 1.8200 Max. : 0.59996
## data.1483 data.1484 data.1485 data.1486
## Min. :-0.735010 Min. :-1.525010 Min. :-1.05000 Min. :-0.94000
## 1st Qu.:-0.192524 1st Qu.:-0.308760 1st Qu.:-0.33000 1st Qu.:-0.19750
## Median : 0.015000 Median :-0.020000 Median :-0.05000 Median : 0.00998
## Mean :-0.002761 Mean : 0.008239 Mean :-0.03375 Mean :-0.01175
## 3rd Qu.: 0.149990 3rd Qu.: 0.347490 3rd Qu.: 0.32999 3rd Qu.: 0.23750
## Max. : 0.809990 Max. : 0.904990 Max. : 1.11000 Max. : 1.18000
## data.1487 data.1488 data.1489 data.1490
## Min. :-1.25499 Min. :-1.80000 Min. :-1.49996 Min. :-1.40501
## 1st Qu.:-0.29249 1st Qu.:-0.33250 1st Qu.:-0.26998 1st Qu.:-0.18751
## Median :-0.00999 Median : 0.00000 Median : 0.07004 Median : 0.01999
## Mean :-0.07562 Mean :-0.05675 Mean : 0.08254 Mean : 0.04399
## 3rd Qu.: 0.20501 3rd Qu.: 0.36624 3rd Qu.: 0.52254 3rd Qu.: 0.27749
## Max. : 1.04499 Max. : 0.83998 Max. : 1.43004 Max. : 0.96499
## data.1491 data.1492 data.1493 data.1494
## Min. :-0.700000 Min. :-0.6600 Min. :-1.37998 Min. :-0.9300
## 1st Qu.:-0.256250 1st Qu.:-0.1350 1st Qu.:-0.36748 1st Qu.:-0.3200
## Median : 0.000000 Median :-0.0050 Median : 0.03001 Median :-0.0150
## Mean : 0.001499 Mean : 0.0385 Mean :-0.02373 Mean :-0.0395
## 3rd Qu.: 0.132500 3rd Qu.: 0.2562 3rd Qu.: 0.37502 3rd Qu.: 0.2250
## Max. : 1.380000 Max. : 0.8200 Max. : 1.18002 Max. : 0.9700
## data.1495 data.1496 data.1497 data.1498
## Min. :-0.78000 Min. :-1.250000 Min. :-0.59500 Min. :-1.04500
## 1st Qu.:-0.40500 1st Qu.:-0.332500 1st Qu.:-0.11750 1st Qu.:-0.33500
## Median :-0.08501 Median : 0.000000 Median : 0.06000 Median : 0.00250
## Mean :-0.07500 Mean :-0.001376 Mean : 0.06775 Mean :-0.03738
## 3rd Qu.: 0.13249 3rd Qu.: 0.262495 3rd Qu.: 0.20749 3rd Qu.: 0.26000
## Max. : 0.77002 Max. : 1.010000 Max. : 1.31500 Max. : 0.80500
## data.1499 data.1500 data.1501 data.1502
## Min. :-1.4400 Min. :-0.89501 Min. :-1.0100 Min. :-1.500020
## 1st Qu.:-0.4750 1st Qu.:-0.30251 1st Qu.:-0.2025 1st Qu.:-0.312505
## Median :-0.1450 Median :-0.00501 Median :-0.0200 Median : 0.024990
## Mean :-0.1371 Mean :-0.06564 Mean :-0.0525 Mean : 0.009605
## 3rd Qu.: 0.3125 3rd Qu.: 0.22249 3rd Qu.: 0.1825 3rd Qu.: 0.342481
## Max. : 1.0100 Max. : 0.73499 Max. : 0.5600 Max. : 0.969981
## data.1503 data.1504 data.1505 data.1506
## Min. :-0.90996 Min. :-1.24000 Min. :-1.2600 Min. :-1.08000
## 1st Qu.:-0.24749 1st Qu.:-0.33500 1st Qu.:-0.2487 1st Qu.:-0.29250
## Median :-0.00500 Median : 0.02498 Median :-0.0150 Median : 0.02001
## Mean : 0.04427 Mean : 0.02550 Mean :-0.0120 Mean :-0.02000
## 3rd Qu.: 0.35503 3rd Qu.: 0.37750 3rd Qu.: 0.3125 3rd Qu.: 0.25000
## Max. : 1.11002 Max. : 0.93000 Max. : 1.1000 Max. : 1.07000
## data.1507 data.1508 data.1509 data.1510
## Min. :-0.75000 Min. :-0.66500 Min. :-0.6550 Min. :-0.73002
## 1st Qu.:-0.19500 1st Qu.:-0.14000 1st Qu.:-0.3725 1st Qu.:-0.35250
## Median : 0.00000 Median :-0.00500 Median :-0.1500 Median :-0.10002
## Mean : 0.01975 Mean : 0.04537 Mean :-0.0350 Mean : 0.03925
## 3rd Qu.: 0.20750 3rd Qu.: 0.19500 3rd Qu.: 0.2462 3rd Qu.: 0.57000
## Max. : 0.76000 Max. : 1.10500 Max. : 1.2250 Max. : 1.04000
## data.1511 data.1512 data.1513 data.1514
## Min. :-0.7000 Min. :-1.13500 Min. :-0.8950 Min. :-0.73499
## 1st Qu.:-0.2300 1st Qu.:-0.19250 1st Qu.:-0.2825 1st Qu.:-0.11749
## Median : 0.0000 Median : 0.04000 Median : 0.0425 Median : 0.01000
## Mean : 0.0665 Mean : 0.03025 Mean :-0.0130 Mean : 0.01076
## 3rd Qu.: 0.3613 3rd Qu.: 0.28250 3rd Qu.: 0.2575 3rd Qu.: 0.17501
## Max. : 1.3700 Max. : 0.78500 Max. : 0.8150 Max. : 0.56501
## data.1515 data.1516 data.1517 data.1518
## Min. :-1.61000 Min. :-1.27500 Min. :-1.01996 Min. :-1.13000
## 1st Qu.:-0.48250 1st Qu.:-0.25500 1st Qu.:-0.36746 1st Qu.:-0.39000
## Median :-0.06500 Median :-0.00250 Median :-0.00998 Median :-0.06000
## Mean :-0.05125 Mean :-0.04338 Mean : 0.04204 Mean :-0.07075
## 3rd Qu.: 0.43500 3rd Qu.: 0.17001 3rd Qu.: 0.38379 3rd Qu.: 0.18250
## Max. : 1.58002 Max. : 0.80500 Max. : 1.34004 Max. : 0.84000
## data.1519 data.1520 data.1521 data.1522
## Min. :-1.17999 Min. :-0.63998 Min. :-0.72000 Min. :-0.68498
## 1st Qu.:-0.37374 1st Qu.:-0.12500 1st Qu.:-0.28000 1st Qu.:-0.23747
## Median :-0.08999 Median : 0.01501 Median :-0.01500 Median :-0.10498
## Mean :-0.11624 Mean : 0.03237 Mean : 0.07025 Mean : 0.01977
## 3rd Qu.: 0.13001 3rd Qu.: 0.22250 3rd Qu.: 0.34000 3rd Qu.: 0.19377
## Max. : 0.72001 Max. : 0.81000 Max. : 1.40000 Max. : 1.02502
## data.1523 data.1524 data.1525 data.1526
## Min. :-1.58998 Min. :-1.68500 Min. :-1.27000 Min. :-1.19000
## 1st Qu.:-0.32748 1st Qu.:-0.28250 1st Qu.:-0.19753 1st Qu.:-0.28500
## Median :-0.00499 Median :-0.02501 Median : 0.00000 Median :-0.03000
## Mean : 0.03502 Mean :-0.03550 Mean :-0.02563 Mean :-0.06025
## 3rd Qu.: 0.29002 3rd Qu.: 0.25750 3rd Qu.: 0.21999 3rd Qu.: 0.22998
## Max. : 1.31002 Max. : 0.79500 Max. : 0.96000 Max. : 0.58000
## data.1527 data.1528 data.1529 data.1530
## Min. :-0.930000 Min. :-1.55499 Min. :-1.79500 Min. :-1.6500
## 1st Qu.:-0.270000 1st Qu.:-0.43999 1st Qu.:-0.27750 1st Qu.:-0.3100
## Median :-0.047500 Median :-0.06999 Median :-0.03999 Median : 0.0000
## Mean : 0.000248 Mean :-0.16374 Mean :-0.02525 Mean :-0.1134
## 3rd Qu.: 0.212485 3rd Qu.: 0.13501 3rd Qu.: 0.27500 3rd Qu.: 0.1875
## Max. : 1.270000 Max. : 0.53001 Max. : 0.79500 Max. : 0.6200
## data.1531 data.1532 data.1533 data.1534
## Min. :-1.4100 Min. :-1.3600 Min. :-1.0900 Min. :-1.07000
## 1st Qu.:-0.3275 1st Qu.:-0.3375 1st Qu.:-0.2950 1st Qu.:-0.34750
## Median : 0.0250 Median : 0.0000 Median :-0.0525 Median :-0.01500
## Mean : 0.0585 Mean :-0.0150 Mean : 0.0135 Mean :-0.04425
## 3rd Qu.: 0.4850 3rd Qu.: 0.2375 3rd Qu.: 0.3300 3rd Qu.: 0.28747
## Max. : 1.5500 Max. : 1.5500 Max. : 1.6400 Max. : 0.76000
## data.1535 data.1536 data.1537 data.1538
## Min. :-0.7450 Min. :-0.73750 Min. :-0.73498 Min. :-0.87000
## 1st Qu.:-0.3325 1st Qu.:-0.41000 1st Qu.:-0.28250 1st Qu.:-0.39500
## Median : 0.0000 Median :-0.03250 Median :-0.04500 Median :-0.08000
## Mean :-0.0105 Mean :-0.09625 Mean :-0.07863 Mean :-0.06875
## 3rd Qu.: 0.2525 3rd Qu.: 0.09500 3rd Qu.: 0.07750 3rd Qu.: 0.28999
## Max. : 0.8050 Max. : 0.69250 Max. : 0.63500 Max. : 0.93002
## data.1539 data.1540 data.1541 data.1542
## Min. :-0.6600 Min. :-1.24750 Min. :-1.01500 Min. :-0.730000
## 1st Qu.:-0.3175 1st Qu.:-0.44751 1st Qu.:-0.25750 1st Qu.:-0.240000
## Median :-0.0200 Median :-0.10000 Median :-0.05501 Median : 0.000000
## Mean : 0.0170 Mean :-0.08431 Mean : 0.07625 Mean : 0.001749
## 3rd Qu.: 0.2550 3rd Qu.: 0.21000 3rd Qu.: 0.54750 3rd Qu.: 0.292471
## Max. : 1.1100 Max. : 1.45250 Max. : 1.51000 Max. : 1.050000
## data.1543 data.1544 data.1545 data.1546
## Min. :-0.77000 Min. :-0.77002 Min. :-0.9500 Min. :-1.215000
## 1st Qu.:-0.37500 1st Qu.:-0.27252 1st Qu.:-0.3475 1st Qu.:-0.255005
## Median :-0.04499 Median :-0.02001 Median :-0.0225 Median :-0.005019
## Mean :-0.06350 Mean :-0.03677 Mean :-0.0850 Mean :-0.085876
## 3rd Qu.: 0.16250 3rd Qu.: 0.19245 3rd Qu.: 0.2000 3rd Qu.: 0.195000
## Max. : 0.82002 Max. : 1.06998 Max. : 0.9400 Max. : 0.595000
## data.1547 data.1548 data.1549 data.1550
## Min. :-1.08500 Min. :-0.79498 Min. :-1.13000 Min. :-1.10998
## 1st Qu.:-0.24751 1st Qu.:-0.21248 1st Qu.:-0.32250 1st Qu.:-0.53248
## Median : 0.01500 Median : 0.01502 Median : 0.00000 Median :-0.09998
## Mean :-0.03375 Mean : 0.03377 Mean :-0.07763 Mean :-0.11648
## 3rd Qu.: 0.20375 3rd Qu.: 0.36252 3rd Qu.: 0.26250 3rd Qu.: 0.30002
## Max. : 1.24500 Max. : 0.81502 Max. : 0.72000 Max. : 0.92002
## data.1551 data.1552 data.1553 data.1554
## Min. :-1.48000 Min. :-1.1500 Min. :-0.86000 Min. :-0.98000
## 1st Qu.:-0.43375 1st Qu.:-0.3125 1st Qu.:-0.35250 1st Qu.:-0.41250
## Median :-0.02500 Median :-0.0250 Median :-0.00500 Median : 0.00000
## Mean :-0.08175 Mean : 0.0285 Mean :-0.01975 Mean : 0.03375
## 3rd Qu.: 0.18001 3rd Qu.: 0.2800 3rd Qu.: 0.25500 3rd Qu.: 0.55999
## Max. : 0.83000 Max. : 1.2800 Max. : 1.05000 Max. : 1.08002
## data.1555 data.1556 data.1557 data.1558
## Min. :-0.79498 Min. :-0.720000 Min. :-1.08500 Min. :-1.14000
## 1st Qu.:-0.19373 1st Qu.:-0.288750 1st Qu.:-0.35875 1st Qu.:-0.20000
## Median :-0.08998 Median :-0.055000 Median :-0.10000 Median :-0.02501
## Mean : 0.07152 Mean :-0.003252 Mean : 0.02225 Mean : 0.05525
## 3rd Qu.: 0.37252 3rd Qu.: 0.240000 3rd Qu.: 0.31000 3rd Qu.: 0.30500
## Max. : 1.25502 Max. : 1.000000 Max. : 1.25502 Max. : 1.36002
## data.1559 data.1560 data.1561 data.1562
## Min. :-1.3400 Min. :-0.53000 Min. :-1.010000 Min. :-0.75000
## 1st Qu.:-0.2575 1st Qu.:-0.21750 1st Qu.:-0.152505 1st Qu.:-0.27750
## Median :-0.0150 Median :-0.01999 Median : 0.000000 Median : 0.00500
## Mean : 0.0195 Mean : 0.03125 Mean :-0.009002 Mean :-0.06875
## 3rd Qu.: 0.2500 3rd Qu.: 0.32500 3rd Qu.: 0.213750 3rd Qu.: 0.20500
## Max. : 1.1900 Max. : 1.17000 Max. : 0.650019 Max. : 0.56000
## data.1563 data.1564 data.1565 data.1566
## Min. :-1.1050 Min. :-1.05000 Min. :-1.2700 Min. :-1.480
## 1st Qu.:-0.2550 1st Qu.:-0.40000 1st Qu.:-0.3725 1st Qu.:-0.235
## Median :-0.0550 Median : 0.00000 Median :-0.0050 Median : 0.000
## Mean :-0.0145 Mean :-0.03825 Mean :-0.0125 Mean : 0.015
## 3rd Qu.: 0.2775 3rd Qu.: 0.21500 3rd Qu.: 0.3825 3rd Qu.: 0.275
## Max. : 0.9950 Max. : 1.30000 Max. : 0.9700 Max. : 1.200
## data.1567 data.1568 data.1569 data.1570
## Min. :-0.62000 Min. :-0.835020 Min. :-0.79500 Min. :-0.9500
## 1st Qu.:-0.29250 1st Qu.:-0.352500 1st Qu.:-0.14750 1st Qu.:-0.2025
## Median :-0.04500 Median : 0.050000 Median :-0.01501 Median : 0.0200
## Mean :-0.03025 Mean : 0.002498 Mean : 0.10650 Mean : 0.0535
## 3rd Qu.: 0.11500 3rd Qu.: 0.237471 3rd Qu.: 0.38250 3rd Qu.: 0.3412
## Max. : 0.67002 Max. : 1.130000 Max. : 1.12500 Max. : 0.9000
## data.1571 data.1572 data.1573 data.1574
## Min. :-0.9500 Min. :-0.68002 Min. :-1.0750 Min. :-1.24002
## 1st Qu.:-0.2100 1st Qu.:-0.16252 1st Qu.:-0.3187 1st Qu.:-0.36752
## Median : 0.0100 Median :-0.03002 Median : 0.0000 Median : 0.00000
## Mean : 0.0730 Mean : 0.04698 Mean :-0.1660 Mean :-0.01315
## 3rd Qu.: 0.3775 3rd Qu.: 0.27997 3rd Qu.: 0.0900 3rd Qu.: 0.23998
## Max. : 1.0700 Max. : 0.81998 Max. : 0.4850 Max. : 1.12998
## data.1575 data.1576 data.1577 data.1578
## Min. :-0.7950 Min. :-1.16000 Min. :-1.1000 Min. :-1.0000
## 1st Qu.:-0.2150 1st Qu.:-0.49501 1st Qu.:-0.5800 1st Qu.:-0.5450
## Median : 0.0650 Median :-0.05499 Median :-0.1250 Median :-0.1200
## Mean : 0.0145 Mean :-0.06275 Mean :-0.1198 Mean :-0.1236
## 3rd Qu.: 0.2675 3rd Qu.: 0.37000 3rd Qu.: 0.3250 3rd Qu.: 0.2062
## Max. : 1.1500 Max. : 0.88002 Max. : 0.8000 Max. : 0.9800
## data.1579 data.1580 data.1581 data.1582
## Min. :-0.70000 Min. :-1.15000 Min. :-1.1300 Min. :-0.96000
## 1st Qu.:-0.31750 1st Qu.:-0.36500 1st Qu.:-0.3350 1st Qu.:-0.26000
## Median : 0.00000 Median :-0.01002 Median :-0.0650 Median : 0.00500
## Mean :-0.05875 Mean :-0.03000 Mean :-0.1095 Mean :-0.02975
## 3rd Qu.: 0.22997 3rd Qu.: 0.18250 3rd Qu.: 0.1263 3rd Qu.: 0.22750
## Max. : 0.58002 Max. : 1.15000 Max. : 1.1100 Max. : 0.74000
## data.1583 data.1584 data.1585 data.1586
## Min. :-1.070 Min. :-1.1300 Min. :-1.4600 Min. :-0.71000
## 1st Qu.:-0.450 1st Qu.:-0.3425 1st Qu.:-0.4400 1st Qu.:-0.24000
## Median : 0.000 Median :-0.0175 Median :-0.1050 Median :-0.05000
## Mean :-0.047 Mean :-0.1063 Mean :-0.1353 Mean : 0.03625
## 3rd Qu.: 0.295 3rd Qu.: 0.1450 3rd Qu.: 0.2637 3rd Qu.: 0.42000
## Max. : 1.370 Max. : 0.7600 Max. : 0.6900 Max. : 0.79000
## data.1587 data.1588 data.1589 data.1590
## Min. :-1.08501 Min. :-1.00500 Min. :-0.82498 Min. :-0.7800
## 1st Qu.:-0.38001 1st Qu.:-0.27500 1st Qu.:-0.31248 1st Qu.:-0.2525
## Median :-0.02000 Median :-0.02500 Median :-0.01998 Median : 0.0050
## Mean :-0.02601 Mean :-0.01475 Mean : 0.03327 Mean : 0.0300
## 3rd Qu.: 0.36499 3rd Qu.: 0.22249 3rd Qu.: 0.40752 3rd Qu.: 0.3550
## Max. : 1.02501 Max. : 1.00502 Max. : 1.12502 Max. : 1.1300
## data.1591 data.1592 data.1593 data.1594
## Min. :-1.05000 Min. :-0.87250 Min. :-0.8100 Min. :-1.02500
## 1st Qu.:-0.34750 1st Qu.:-0.42250 1st Qu.:-0.3650 1st Qu.:-0.34500
## Median : 0.00000 Median :-0.00625 Median : 0.0000 Median : 0.02500
## Mean :-0.01825 Mean :-0.05094 Mean : 0.0510 Mean : 0.02875
## 3rd Qu.: 0.27750 3rd Qu.: 0.19500 3rd Qu.: 0.2525 3rd Qu.: 0.41500
## Max. : 1.17000 Max. : 1.66750 Max. : 2.2100 Max. : 1.43500
## data.1595 data.1596 data.1597 data.1598
## Min. :-0.8850 Min. :-0.77000 Min. :-0.9300 Min. :-1.13000
## 1st Qu.:-0.2900 1st Qu.:-0.25750 1st Qu.:-0.2600 1st Qu.:-0.38750
## Median :-0.0550 Median : 0.03499 Median :-0.0100 Median : 0.00000
## Mean :-0.0105 Mean :-0.01400 Mean :-0.0205 Mean :-0.05288
## 3rd Qu.: 0.3800 3rd Qu.: 0.25000 3rd Qu.: 0.2000 3rd Qu.: 0.25750
## Max. : 0.6950 Max. : 0.64002 Max. : 0.7400 Max. : 2.01000
## data.1599 data.1600 data.1601 data.1602
## Min. :-0.91000 Min. :-0.98501 Min. :-1.5100 Min. :-0.98500
## 1st Qu.:-0.24000 1st Qu.:-0.36001 1st Qu.:-0.2288 1st Qu.:-0.24500
## Median : 0.00000 Median :-0.10501 Median : 0.0200 Median :-0.10000
## Mean : 0.06237 Mean :-0.08701 Mean : 0.0135 Mean :-0.07513
## 3rd Qu.: 0.27999 3rd Qu.: 0.18249 3rd Qu.: 0.3600 3rd Qu.: 0.16000
## Max. : 2.42000 Max. : 0.59001 Max. : 1.2200 Max. : 0.78500
## data.1603 data.1604 data.1605 data.1606
## Min. :-0.7075 Min. :-0.8700 Min. :-0.77500 Min. :-0.70498
## 1st Qu.:-0.2950 1st Qu.:-0.3425 1st Qu.:-0.12000 1st Qu.:-0.20750
## Median :-0.0225 Median : 0.0150 Median : 0.01999 Median : 0.01000
## Mean :-0.0220 Mean :-0.0265 Mean : 0.10125 Mean : 0.03675
## 3rd Qu.: 0.1550 3rd Qu.: 0.2300 3rd Qu.: 0.24875 3rd Qu.: 0.17750
## Max. : 0.8825 Max. : 0.8400 Max. : 1.53500 Max. : 0.86500
## data.1607 data.1608 data.1609 data.1610
## Min. :-1.06000 Min. :-0.910000 Min. :-0.63500 Min. :-0.76998
## 1st Qu.:-0.40000 1st Qu.:-0.342500 1st Qu.:-0.31250 1st Qu.:-0.18998
## Median :-0.04500 Median : 0.065000 Median : 0.06999 Median : 0.07502
## Mean :-0.05075 Mean : 0.008998 Mean : 0.01050 Mean : 0.06427
## 3rd Qu.: 0.24750 3rd Qu.: 0.241250 3rd Qu.: 0.26750 3rd Qu.: 0.33749
## Max. : 0.90002 Max. : 1.030020 Max. : 1.01500 Max. : 0.97004
## data.1611 data.1612 data.1613 data.1614
## Min. :-0.63000 Min. :-0.65000 Min. :-0.850000 Min. :-1.23000
## 1st Qu.:-0.22750 1st Qu.:-0.14000 1st Qu.:-0.140000 1st Qu.:-0.31000
## Median :-0.01000 Median : 0.03500 Median : 0.010000 Median : 0.01000
## Mean : 0.02975 Mean : 0.04025 Mean : 0.002998 Mean :-0.01575
## 3rd Qu.: 0.27999 3rd Qu.: 0.23250 3rd Qu.: 0.189971 3rd Qu.: 0.26249
## Max. : 0.75000 Max. : 0.81000 Max. : 0.720000 Max. : 1.49000
## data.1615 data.1616 data.1617 data.1618
## Min. :-0.9300000 Min. :-0.83000 Min. :-0.92000 Min. :-1.0300
## 1st Qu.:-0.2849951 1st Qu.:-0.33376 1st Qu.:-0.19501 1st Qu.:-0.2450
## Median :-0.0300098 Median :-0.06501 Median :-0.02500 Median :-0.0050
## Mean :-0.0002515 Mean :-0.07500 Mean : 0.03175 Mean :-0.0150
## 3rd Qu.: 0.2174659 3rd Qu.: 0.16500 3rd Qu.: 0.33250 3rd Qu.: 0.2125
## Max. : 1.3500000 Max. : 0.59000 Max. : 0.93000 Max. : 1.0000
## data.1619 data.1620 data.1621 data.1622
## Min. :-1.11000 Min. :-1.7400 Min. :-1.52000 Min. :-1.60001
## 1st Qu.:-0.22750 1st Qu.:-0.2000 1st Qu.:-0.24500 1st Qu.:-0.30251
## Median : 0.08000 Median : 0.0275 Median : 0.04000 Median : 0.03499
## Mean : 0.05375 Mean :-0.0205 Mean :-0.01875 Mean :-0.04351
## 3rd Qu.: 0.33999 3rd Qu.: 0.2800 3rd Qu.: 0.26999 3rd Qu.: 0.30500
## Max. : 0.80002 Max. : 0.7100 Max. : 0.83000 Max. : 0.75999
## data.1623 data.1624 data.1625 data.1626
## Min. :-0.8850 Min. :-0.62500 Min. :-1.46000 Min. :-0.99000
## 1st Qu.:-0.3250 1st Qu.:-0.20999 1st Qu.:-0.32625 1st Qu.:-0.26750
## Median :-0.0500 Median :-0.01000 Median :-0.02000 Median :-0.03251
## Mean :-0.1055 Mean :-0.03313 Mean :-0.04675 Mean : 0.03075
## 3rd Qu.: 0.1650 3rd Qu.: 0.13625 3rd Qu.: 0.26250 3rd Qu.: 0.20500
## Max. : 0.5800 Max. : 0.71500 Max. : 0.95998 Max. : 1.38000
## data.1627 data.1628 data.1629 data.1630
## Min. :-0.770000 Min. :-0.9500 Min. :-0.86000 Min. :-1.75997
## 1st Qu.:-0.252485 1st Qu.:-0.2188 1st Qu.:-0.23000 1st Qu.:-0.46122
## Median :-0.040010 Median : 0.1100 Median : 0.07498 Median : 0.00000
## Mean :-0.003001 Mean : 0.0705 Mean : 0.08225 Mean :-0.09022
## 3rd Qu.: 0.147515 3rd Qu.: 0.3550 3rd Qu.: 0.37000 3rd Qu.: 0.24003
## Max. : 1.480000 Max. : 1.0400 Max. : 0.98000 Max. : 1.60003
## data.1631 data.1632 data.1633 data.1634
## Min. :-1.5600 Min. :-1.5950 Min. :-1.110000 Min. :-1.880000
## 1st Qu.:-0.3625 1st Qu.:-0.2650 1st Qu.:-0.345015 1st Qu.:-0.322500
## Median :-0.0350 Median : 0.0000 Median :-0.085000 Median :-0.080000
## Mean :-0.1145 Mean :-0.1039 Mean :-0.006377 Mean : 0.004248
## 3rd Qu.: 0.2325 3rd Qu.: 0.0475 3rd Qu.: 0.300000 3rd Qu.: 0.334995
## Max. : 1.3000 Max. : 0.7950 Max. : 1.850000 Max. : 0.940000
## data.1635 data.1636 data.1637 data.1638
## Min. :-0.9600 Min. :-1.74501 Min. :-1.0000 Min. :-1.000000
## 1st Qu.:-0.6225 1st Qu.:-0.61501 1st Qu.:-0.3237 1st Qu.:-0.240000
## Median :-0.3100 Median :-0.07001 Median : 0.0000 Median : 0.000000
## Mean :-0.2093 Mean :-0.16126 Mean : 0.0850 Mean : 0.006123
## 3rd Qu.: 0.2350 3rd Qu.: 0.15250 3rd Qu.: 0.4500 3rd Qu.: 0.019971
## Max. : 0.6500 Max. : 1.23499 Max. : 1.4400 Max. : 2.430000
## data.1639 data.1640 data.1641 data.1642
## Min. :-1.20500 Min. :-0.82999 Min. :-1.02500 Min. :-1.12000
## 1st Qu.:-0.29499 1st Qu.:-0.32874 1st Qu.:-0.38750 1st Qu.:-0.44625
## Median :-0.04001 Median : 0.00000 Median : 0.01000 Median : 0.00000
## Mean :-0.02588 Mean :-0.06449 Mean :-0.07575 Mean :-0.06725
## 3rd Qu.: 0.16000 3rd Qu.: 0.16626 3rd Qu.: 0.22250 3rd Qu.: 0.32250
## Max. : 1.37500 Max. : 0.66001 Max. : 0.55500 Max. : 0.76000
## data.1643 data.1644 data.1645 data.1646
## Min. :-1.1100 Min. :-0.980000 Min. :-1.95000 Min. :-1.10498
## 1st Qu.:-0.3513 1st Qu.:-0.192500 1st Qu.:-0.49500 1st Qu.:-0.26748
## Median :-0.0300 Median :-0.030000 Median :-0.09501 Median :-0.00498
## Mean : 0.0115 Mean :-0.003626 Mean :-0.18275 Mean :-0.07223
## 3rd Qu.: 0.4350 3rd Qu.: 0.127500 3rd Qu.: 0.21250 3rd Qu.: 0.15002
## Max. : 1.0400 Max. : 0.940000 Max. : 1.60500 Max. : 0.86004
## data.1647 data.1648 data.1649 data.1650
## Min. :-1.2700 Min. :-2.7050 Min. :-2.3800 Min. :-1.7600
## 1st Qu.:-0.5125 1st Qu.:-0.2575 1st Qu.:-0.7212 1st Qu.:-0.5625
## Median : 0.0000 Median :-0.1000 Median :-0.0100 Median :-0.0800
## Mean :-0.1318 Mean :-0.1460 Mean :-0.1220 Mean :-0.1278
## 3rd Qu.: 0.2150 3rd Qu.: 0.2250 3rd Qu.: 0.3800 3rd Qu.: 0.3250
## Max. : 0.7150 Max. : 1.0050 Max. : 1.6600 Max. : 1.4400
## data.1651 data.1652 data.1653 data.1654
## Min. :-2.01500 Min. :-1.3050 Min. :-1.195000 Min. :-2.9900
## 1st Qu.:-0.71000 1st Qu.:-0.5225 1st Qu.:-0.160000 1st Qu.:-0.5450
## Median :-0.07502 Median :-0.1400 Median : 0.007500 Median :-0.2150
## Mean :-0.23325 Mean :-0.1875 Mean :-0.001376 Mean :-0.2485
## 3rd Qu.: 0.30250 3rd Qu.: 0.2150 3rd Qu.: 0.277505 3rd Qu.: 0.1600
## Max. : 1.84500 Max. : 0.7700 Max. : 0.835000 Max. : 1.3300
## data.1655 data.1656 data.1657 data.1658
## Min. :-1.36000 Min. :-2.08000 Min. :-2.3250 Min. :-0.85498
## 1st Qu.:-0.21500 1st Qu.:-0.21500 1st Qu.:-0.4525 1st Qu.:-0.31499
## Median :-0.04500 Median :-0.00500 Median :-0.1200 Median :-0.00998
## Mean :-0.08150 Mean :-0.01225 Mean :-0.1645 Mean :-0.09823
## 3rd Qu.: 0.06876 3rd Qu.: 0.33750 3rd Qu.: 0.2025 3rd Qu.: 0.13502
## Max. : 0.55000 Max. : 0.84000 Max. : 1.7150 Max. : 0.56502
## data.1659 data.1660 data.1661 data.1662
## Min. :-1.14002 Min. :-1.4700 Min. :-1.35501 Min. :-1.31499
## 1st Qu.:-0.36500 1st Qu.:-0.4225 1st Qu.:-0.35752 1st Qu.:-0.45999
## Median :-0.03000 Median :-0.1150 Median :-0.06002 Median : 0.00501
## Mean :-0.03963 Mean :-0.1195 Mean :-0.04251 Mean :-0.08549
## 3rd Qu.: 0.23500 3rd Qu.: 0.2450 3rd Qu.: 0.31249 3rd Qu.: 0.28001
## Max. : 1.01000 Max. : 1.1500 Max. : 0.78499 Max. : 1.07001
## data.1663 data.1664 data.1665 data.1666
## Min. :-1.10000 Min. :-0.610020 Min. :-0.98000 Min. :-0.9800
## 1st Qu.:-0.48750 1st Qu.:-0.140000 1st Qu.:-0.32250 1st Qu.:-0.5225
## Median :-0.06500 Median :-0.015000 Median :-0.05502 Median :-0.2050
## Mean :-0.02275 Mean :-0.009251 Mean :-0.04875 Mean :-0.1000
## 3rd Qu.: 0.41500 3rd Qu.: 0.132500 3rd Qu.: 0.23375 3rd Qu.: 0.2650
## Max. : 1.08000 Max. : 0.500000 Max. : 0.90000 Max. : 0.8700
## data.1667 data.1668 data.1669 data.1670
## Min. :-2.19499 Min. :-1.37500 Min. :-1.9300 Min. :-2.5450
## 1st Qu.:-0.52749 1st Qu.:-0.56000 1st Qu.:-0.7175 1st Qu.:-0.6800
## Median :-0.05499 Median :-0.11500 Median :-0.0950 Median :-0.1550
## Mean :-0.23424 Mean :-0.08288 Mean :-0.2424 Mean :-0.2163
## 3rd Qu.: 0.27501 3rd Qu.: 0.28251 3rd Qu.: 0.3225 3rd Qu.: 0.1837
## Max. : 1.33501 Max. : 1.47500 Max. : 0.8000 Max. : 1.2050
## data.1671 data.1672 data.1673 data.1674
## Min. :-1.3200 Min. :-0.67001 Min. :-1.2800 Min. :-1.75500
## 1st Qu.:-0.4500 1st Qu.:-0.16251 1st Qu.:-0.4875 1st Qu.:-0.67750
## Median :-0.1400 Median :-0.04001 Median :-0.1375 Median :-0.04501
## Mean :-0.1401 Mean :-0.02589 Mean :-0.0665 Mean :-0.11150
## 3rd Qu.: 0.2475 3rd Qu.: 0.13499 3rd Qu.: 0.4100 3rd Qu.: 0.32750
## Max. : 0.8100 Max. : 0.53999 Max. : 1.9600 Max. : 1.54500
## data.1675 data.1676 data.1677 data.1678
## Min. :-1.47500 Min. :-1.50250 Min. :-1.8750 Min. :-1.11500
## 1st Qu.:-0.65750 1st Qu.:-0.24749 1st Qu.:-0.3250 1st Qu.:-0.50750
## Median :-0.02750 Median :-0.00375 Median :-0.0950 Median :-0.06002
## Mean :-0.08225 Mean :-0.04038 Mean :-0.0485 Mean :-0.13175
## 3rd Qu.: 0.40250 3rd Qu.: 0.19747 3rd Qu.: 0.2450 3rd Qu.: 0.15375
## Max. : 1.85500 Max. : 1.15750 Max. : 1.1050 Max. : 1.11498
## data.1679 data.1680 data.1681 data.1682
## Min. :-1.1300 Min. :-0.9950 Min. :-1.1050 Min. :-1.9850
## 1st Qu.:-0.3725 1st Qu.:-0.5800 1st Qu.:-0.3825 1st Qu.:-0.8400
## Median :-0.1650 Median :-0.1400 Median :-0.0500 Median :-0.1525
## Mean :-0.0715 Mean :-0.1248 Mean :-0.1153 Mean :-0.3124
## 3rd Qu.: 0.2700 3rd Qu.: 0.2600 3rd Qu.: 0.1550 3rd Qu.: 0.0900
## Max. : 0.7800 Max. : 1.1250 Max. : 0.6150 Max. : 0.6050
## data.1683 data.1684 data.1685 data.1686
## Min. :-2.0950 Min. :-1.00000 Min. :-0.9975 Min. :-1.3800
## 1st Qu.:-0.4800 1st Qu.:-0.30250 1st Qu.:-0.4700 1st Qu.:-0.6262
## Median : 0.0000 Median : 0.01500 Median :-0.0050 Median :-0.2050
## Mean :-0.1025 Mean :-0.01775 Mean :-0.0495 Mean :-0.1338
## 3rd Qu.: 0.1875 3rd Qu.: 0.26625 3rd Qu.: 0.3300 3rd Qu.: 0.4050
## Max. : 1.6850 Max. : 1.14000 Max. : 1.0625 Max. : 1.0000
## data.1687 data.1688 data.1689 data.1690
## Min. :-0.78002 Min. :-1.39497 Min. :-1.0500 Min. :-0.9800
## 1st Qu.:-0.23127 1st Qu.:-0.38247 1st Qu.:-0.5312 1st Qu.:-0.3900
## Median :-0.02002 Median :-0.09497 Median :-0.0950 Median :-0.1400
## Mean :-0.02102 Mean :-0.11985 Mean :-0.1575 Mean :-0.1149
## 3rd Qu.: 0.13998 3rd Qu.: 0.14503 3rd Qu.: 0.1125 3rd Qu.: 0.1550
## Max. : 0.84996 Max. : 0.77503 Max. : 1.2800 Max. : 0.7000
## data.1691 data.1692 data.1693 data.1694
## Min. :-0.8800 Min. :-1.9000 Min. :-1.8650 Min. :-0.9100
## 1st Qu.:-0.5750 1st Qu.:-0.5775 1st Qu.:-0.4950 1st Qu.:-0.3875
## Median :-0.1100 Median :-0.1500 Median :-0.2400 Median :-0.1300
## Mean :-0.1308 Mean :-0.2380 Mean :-0.2228 Mean :-0.1046
## 3rd Qu.: 0.2650 3rd Qu.: 0.1700 3rd Qu.: 0.1475 3rd Qu.: 0.1775
## Max. : 0.5500 Max. : 0.8500 Max. : 0.9250 Max. : 0.8000
## data.1695 data.1696 data.1697 data.1698
## Min. :-1.1300 Min. :-1.0500 Min. :-1.1850 Min. :-1.06498
## 1st Qu.:-0.6025 1st Qu.:-0.5250 1st Qu.:-0.5525 1st Qu.:-0.40499
## Median :-0.2000 Median :-0.1200 Median :-0.0150 Median :-0.16498
## Mean :-0.2100 Mean :-0.1330 Mean :-0.1023 Mean :-0.05823
## 3rd Qu.: 0.1400 3rd Qu.: 0.2225 3rd Qu.: 0.3950 3rd Qu.: 0.32002
## Max. : 0.8600 Max. : 0.9200 Max. : 0.9750 Max. : 1.07502
## data.1699 data.1700 data.1701 data.1702
## Min. :-0.62000 Min. :-1.09248 Min. :-1.10000 Min. :-1.2200
## 1st Qu.:-0.29250 1st Qu.:-0.33498 1st Qu.:-0.36750 1st Qu.:-0.4650
## Median :-0.10999 Median :-0.14249 Median :-0.11000 Median :-0.1725
## Mean :-0.08125 Mean :-0.07642 Mean :-0.07938 Mean :-0.1252
## 3rd Qu.: 0.11999 3rd Qu.: 0.04002 3rd Qu.: 0.26250 3rd Qu.: 0.1875
## Max. : 0.65000 Max. : 1.25752 Max. : 1.31000 Max. : 1.4100
## data.1703 data.1704 data.1705 data.1706
## Min. :-1.24998 Min. :-1.5550 Min. :-1.330000 Min. :-1.76001
## 1st Qu.:-0.56500 1st Qu.:-0.6000 1st Qu.:-0.312529 1st Qu.:-0.45001
## Median :-0.08500 Median :-0.2350 Median :-0.010000 Median :-0.01751
## Mean :-0.14125 Mean :-0.1833 Mean : 0.009123 Mean :-0.11051
## 3rd Qu.: 0.06875 3rd Qu.: 0.1950 3rd Qu.: 0.347515 3rd Qu.: 0.27749
## Max. : 1.07000 Max. : 1.1150 Max. : 1.970000 Max. : 1.99999
## data.1707 data.1708 data.1709 data.1710
## Min. :-1.36000 Min. :-1.2700 Min. :-1.09998 Min. :-1.2000
## 1st Qu.:-0.43125 1st Qu.:-0.3450 1st Qu.:-0.58498 1st Qu.:-0.4875
## Median :-0.07501 Median :-0.0900 Median :-0.09498 Median :-0.1825
## Mean :-0.06050 Mean :-0.0590 Mean :-0.12473 Mean :-0.1488
## 3rd Qu.: 0.36500 3rd Qu.: 0.3175 3rd Qu.: 0.32252 3rd Qu.: 0.1975
## Max. : 1.45000 Max. : 0.9600 Max. : 1.02002 Max. : 0.7300
## data.1711 data.1712 data.1713 data.1714
## Min. :-1.25000 Min. :-0.870000 Min. :-1.03000 Min. :-1.0900
## 1st Qu.:-0.36750 1st Qu.:-0.365000 1st Qu.:-0.33250 1st Qu.:-0.3525
## Median :-0.09500 Median :-0.050000 Median : 0.00000 Median :-0.0300
## Mean :-0.07525 Mean :-0.004001 Mean : 0.05275 Mean :-0.0545
## 3rd Qu.: 0.29500 3rd Qu.: 0.365005 3rd Qu.: 0.44750 3rd Qu.: 0.1425
## Max. : 1.34000 Max. : 1.229980 Max. : 1.43998 Max. : 0.9700
## data.1715 data.1716 data.1717 data.1718
## Min. :-0.8500 Min. :-1.09000 Min. :-3.8800 Min. :-1.07001
## 1st Qu.:-0.3225 1st Qu.:-0.27250 1st Qu.:-0.8925 1st Qu.:-0.26251
## Median :-0.0700 Median :-0.00500 Median :-0.1100 Median :-0.04503
## Mean :-0.0540 Mean :-0.06575 Mean :-0.3489 Mean :-0.02051
## 3rd Qu.: 0.1500 3rd Qu.: 0.21750 3rd Qu.: 0.1125 3rd Qu.: 0.07749
## Max. : 1.1900 Max. : 0.81000 Max. : 1.0500 Max. : 0.93999
## data.1719 data.1720 data.1721 data.1722
## Min. :-0.94503 Min. :-1.2200 Min. :-0.99000 Min. :-1.26500
## 1st Qu.:-0.34001 1st Qu.:-0.3250 1st Qu.:-0.23125 1st Qu.:-0.40998
## Median :-0.02000 Median :-0.0400 Median :-0.04501 Median :-0.07498
## Mean :-0.03526 Mean :-0.0685 Mean :-0.09463 Mean :-0.13361
## 3rd Qu.: 0.25499 3rd Qu.: 0.1700 3rd Qu.: 0.04500 3rd Qu.: 0.06752
## Max. : 0.89499 Max. : 0.9600 Max. : 0.64000 Max. : 0.65502
## data.1723 data.1724 data.1725 data.1726
## Min. :-0.9400 Min. :-1.03498 Min. :-1.27000 Min. :-1.04000
## 1st Qu.:-0.4725 1st Qu.:-0.24248 1st Qu.:-0.41000 1st Qu.:-0.20750
## Median :-0.0900 Median :-0.03999 Median :-0.10500 Median :-0.05001
## Mean :-0.1038 Mean :-0.05586 Mean :-0.17175 Mean : 0.03100
## 3rd Qu.: 0.2100 3rd Qu.: 0.21752 3rd Qu.: 0.06498 3rd Qu.: 0.22000
## Max. : 0.5800 Max. : 0.68502 Max. : 0.88000 Max. : 1.20996
## data.1727 data.1728 data.1729 data.1730
## Min. :-0.8600 Min. :-1.035 Min. :-1.43500 Min. :-1.44002
## 1st Qu.:-0.2850 1st Qu.:-0.420 1st Qu.:-0.37751 1st Qu.:-0.30377
## Median : 0.0050 Median :-0.210 Median :-0.03999 Median : 0.05497
## Mean :-0.0225 Mean :-0.074 Mean :-0.15250 Mean :-0.07802
## 3rd Qu.: 0.2175 3rd Qu.: 0.360 3rd Qu.: 0.10251 3rd Qu.: 0.29998
## Max. : 1.0400 Max. : 0.945 Max. : 0.92498 Max. : 0.70998
## data.1731 data.1732 data.1733 data.1734
## Min. :-0.9650 Min. :-1.1200 Min. :-0.87999 Min. :-1.83000
## 1st Qu.:-0.4475 1st Qu.:-0.2825 1st Qu.:-0.17499 1st Qu.:-0.66250
## Median :-0.0400 Median :-0.0600 Median :-0.06500 Median : 0.05999
## Mean :-0.1233 Mean :-0.1035 Mean :-0.03399 Mean :-0.16650
## 3rd Qu.: 0.1400 3rd Qu.: 0.1925 3rd Qu.: 0.17751 3rd Qu.: 0.26250
## Max. : 0.7050 Max. : 0.6500 Max. : 0.71001 Max. : 1.21000
## data.1735 data.1736 data.1737 data.1738
## Min. :-0.7300 Min. :-0.9900 Min. :-1.2100 Min. :-1.1150
## 1st Qu.:-0.3025 1st Qu.:-0.3625 1st Qu.:-0.6725 1st Qu.:-0.4350
## Median :-0.1150 Median :-0.0450 Median :-0.2200 Median :-0.0450
## Mean :-0.1025 Mean :-0.0430 Mean :-0.1840 Mean :-0.1239
## 3rd Qu.: 0.0925 3rd Qu.: 0.2000 3rd Qu.: 0.1025 3rd Qu.: 0.0450
## Max. : 0.4600 Max. : 1.1600 Max. : 1.4600 Max. : 1.1150
## data.1739 data.1740 data.1741 data.1742
## Min. :-1.1550 Min. :-0.9600 Min. :-1.2050 Min. :-0.72001
## 1st Qu.:-0.4775 1st Qu.:-0.2737 1st Qu.:-0.4175 1st Qu.:-0.32502
## Median :-0.2550 Median :-0.0250 Median :-0.0400 Median :-0.05001
## Mean :-0.1573 Mean :-0.0585 Mean : 0.0130 Mean :-0.02551
## 3rd Qu.: 0.1200 3rd Qu.: 0.1725 3rd Qu.: 0.4400 3rd Qu.: 0.26749
## Max. : 1.0750 Max. : 0.7300 Max. : 1.1750 Max. : 0.89997
## data.1743 data.1744 data.1745 data.1746
## Min. :-1.34000 Min. :-1.3200 Min. :-1.5550 Min. :-0.95002
## 1st Qu.:-0.41250 1st Qu.:-0.4425 1st Qu.:-0.5450 1st Qu.:-0.48252
## Median :-0.05000 Median :-0.1300 Median :-0.1250 Median :-0.10002
## Mean :-0.09825 Mean :-0.0860 Mean :-0.0305 Mean :-0.08227
## 3rd Qu.: 0.24000 3rd Qu.: 0.2925 3rd Qu.: 0.5475 3rd Qu.: 0.22998
## Max. : 0.91000 Max. : 1.0600 Max. : 1.2650 Max. : 1.05998
## data.1747 data.1748 data.1749 data.1750
## Min. :-1.2400 Min. :-1.32000 Min. :-1.12000 Min. :-1.3600
## 1st Qu.:-0.3700 1st Qu.:-0.39500 1st Qu.:-0.32498 1st Qu.:-0.3063
## Median :-0.0525 Median :-0.06000 Median :-0.05498 Median : 0.0000
## Mean :-0.1190 Mean :-0.05725 Mean :-0.02698 Mean : 0.0535
## 3rd Qu.: 0.1025 3rd Qu.: 0.32751 3rd Qu.: 0.28501 3rd Qu.: 0.3125
## Max. : 0.9700 Max. : 1.38000 Max. : 1.60002 Max. : 1.9600
## data.1751 data.1752 data.1753 data.1754
## Min. :-1.16000 Min. :-1.10000 Min. :-1.000000 Min. :-0.820
## 1st Qu.:-0.42000 1st Qu.:-0.22000 1st Qu.:-0.472500 1st Qu.:-0.480
## Median : 0.00000 Median :-0.00999 Median : 0.000000 Median :-0.005
## Mean :-0.05625 Mean :-0.03725 Mean :-0.001002 Mean : 0.095
## 3rd Qu.: 0.17001 3rd Qu.: 0.19749 3rd Qu.: 0.227505 3rd Qu.: 0.545
## Max. : 1.40000 Max. : 1.17000 Max. : 1.740000 Max. : 2.130
## data.1755 data.1756 data.1757 data.1758
## Min. :-1.06998 Min. :-1.12501 Min. :-1.58000 Min. :-0.9200
## 1st Qu.:-0.37999 1st Qu.:-0.32251 1st Qu.:-0.56500 1st Qu.:-0.3675
## Median :-0.05997 Median :-0.11750 Median :-0.04501 Median : 0.0000
## Mean : 0.05052 Mean : 0.08074 Mean :-0.06125 Mean : 0.1072
## 3rd Qu.: 0.36999 3rd Qu.: 0.40749 3rd Qu.: 0.31000 3rd Qu.: 0.3475
## Max. : 2.37002 Max. : 2.52499 Max. : 1.59000 Max. : 2.5300
## data.1759 data.1760 data.1761 data.1762
## Min. :-0.9100 Min. :-1.31000 Min. :-0.96000 Min. :-1.4525
## 1st Qu.:-0.3638 1st Qu.:-0.36375 1st Qu.:-0.39250 1st Qu.:-0.3425
## Median :-0.1750 Median :-0.06501 Median :-0.04999 Median :-0.0200
## Mean :-0.0690 Mean :-0.03450 Mean :-0.07800 Mean : 0.0540
## 3rd Qu.: 0.2050 3rd Qu.: 0.24000 3rd Qu.: 0.18499 3rd Qu.: 0.4300
## Max. : 1.3900 Max. : 1.14000 Max. : 1.55000 Max. : 2.1975
## data.1763 data.1764 data.1765 data.1766
## Min. :-1.07500 Min. :-0.77000 Min. :-0.83500 Min. :-1.45000
## 1st Qu.:-0.39500 1st Qu.:-0.26375 1st Qu.:-0.25250 1st Qu.:-0.35500
## Median :-0.01500 Median :-0.04501 Median : 0.01999 Median : 0.01000
## Mean :-0.03775 Mean : 0.02025 Mean : 0.01100 Mean :-0.02675
## 3rd Qu.: 0.17500 3rd Qu.: 0.28750 3rd Qu.: 0.31250 3rd Qu.: 0.27000
## Max. : 1.30500 Max. : 1.16000 Max. : 1.33500 Max. : 1.04000
## data.1767 data.1768 data.1769 data.1770
## Min. :-0.952500 Min. :-1.06999 Min. :-1.4600 Min. :-1.3750
## 1st Qu.:-0.380000 1st Qu.:-0.38248 1st Qu.:-0.3925 1st Qu.:-0.1762
## Median :-0.037500 Median :-0.09499 Median :-0.1050 Median : 0.0350
## Mean :-0.002252 Mean :-0.02299 Mean :-0.1185 Mean : 0.0555
## 3rd Qu.: 0.320000 3rd Qu.: 0.37501 3rd Qu.: 0.2400 3rd Qu.: 0.3625
## Max. : 1.327500 Max. : 1.65001 Max. : 0.7300 Max. : 1.6050
## data.1771 data.1772 data.1773 data.1774
## Min. :-1.350000 Min. :-0.8450 Min. :-0.7900 Min. :-0.7000
## 1st Qu.:-0.292500 1st Qu.:-0.1925 1st Qu.:-0.2325 1st Qu.:-0.3150
## Median : 0.005000 Median : 0.0025 Median : 0.0300 Median : 0.0000
## Mean : 0.002249 Mean : 0.2117 Mean : 0.1281 Mean : 0.0660
## 3rd Qu.: 0.307500 3rd Qu.: 0.5150 3rd Qu.: 0.4400 3rd Qu.: 0.3713
## Max. : 1.530000 Max. : 2.1850 Max. : 1.9500 Max. : 1.7000
## data.1775 data.1776 data.1777 data.1778
## Min. :-0.84500 Min. :-0.9700 Min. :-1.4950 Min. :-0.67996
## 1st Qu.:-0.42500 1st Qu.:-0.2612 1st Qu.:-0.4975 1st Qu.:-0.26246
## Median :-0.01500 Median :-0.0150 Median :-0.1300 Median :-0.04995
## Mean : 0.02775 Mean : 0.0175 Mean :-0.0685 Mean : 0.08704
## 3rd Qu.: 0.36124 3rd Qu.: 0.1625 3rd Qu.: 0.2800 3rd Qu.: 0.45004
## Max. : 1.75500 Max. : 2.3300 Max. : 1.9850 Max. : 1.58004
## data.1779 data.1780 data.1781 data.1782
## Min. :-0.80500 Min. :-1.2300 Min. :-0.89000 Min. :-0.89500
## 1st Qu.:-0.26500 1st Qu.:-0.3300 1st Qu.:-0.25250 1st Qu.:-0.40000
## Median :-0.07000 Median : 0.0300 Median : 0.03250 Median : 0.00000
## Mean : 0.04362 Mean : 0.0160 Mean : 0.03825 Mean : 0.02375
## 3rd Qu.: 0.37000 3rd Qu.: 0.2525 3rd Qu.: 0.28000 3rd Qu.: 0.34250
## Max. : 1.35500 Max. : 1.1200 Max. : 0.99000 Max. : 1.26500
## data.1783 data.1784 data.1785 data.1786
## Min. :-0.88000 Min. :-0.76000 Min. :-0.81000 Min. :-0.58000
## 1st Qu.:-0.29250 1st Qu.:-0.32750 1st Qu.:-0.22501 1st Qu.:-0.26625
## Median : 0.05000 Median :-0.00750 Median :-0.00500 Median : 0.02501
## Mean : 0.07725 Mean : 0.01137 Mean : 0.03875 Mean : 0.05675
## 3rd Qu.: 0.43250 3rd Qu.: 0.27250 3rd Qu.: 0.33000 3rd Qu.: 0.36000
## Max. : 1.24002 Max. : 1.06500 Max. : 1.09500 Max. : 0.99000
## data.1787 data.1788 data.1789 data.1790
## Min. :-0.94000 Min. :-1.3300 Min. :-2.20998 Min. :-1.82000
## 1st Qu.:-0.23250 1st Qu.:-0.3900 1st Qu.:-0.33623 1st Qu.:-0.51750
## Median : 0.01001 Median :-0.2200 Median : 0.06000 Median :-0.02000
## Mean : 0.03100 Mean :-0.0225 Mean : 0.02402 Mean :-0.07775
## 3rd Qu.: 0.33250 3rd Qu.: 0.3525 3rd Qu.: 0.46752 3rd Qu.: 0.28000
## Max. : 0.94000 Max. : 1.3200 Max. : 0.97002 Max. : 1.60000
## data.1791 data.1792 data.1793 data.1794
## Min. :-1.29500 Min. :-0.84499 Min. :-0.790000 Min. :-1.43498
## 1st Qu.:-0.42750 1st Qu.:-0.37749 1st Qu.:-0.250000 1st Qu.:-0.36000
## Median :-0.20500 Median :-0.03750 Median :-0.105000 Median :-0.07502
## Mean :-0.08138 Mean : 0.02101 Mean : 0.001873 Mean :-0.11250
## 3rd Qu.: 0.21750 3rd Qu.: 0.33501 3rd Qu.: 0.227485 3rd Qu.: 0.17750
## Max. : 1.43500 Max. : 1.78501 Max. : 1.110000 Max. : 0.88500
## data.1795 data.1796 data.1797 data.1798
## Min. :-0.91000 Min. :-0.9800 Min. :-0.9950 Min. :-0.850000
## 1st Qu.:-0.34250 1st Qu.:-0.3325 1st Qu.:-0.2625 1st Qu.:-0.292500
## Median :-0.04000 Median :-0.0400 Median :-0.0300 Median :-0.025010
## Mean :-0.08175 Mean :-0.1093 Mean :-0.0730 Mean :-0.006502
## 3rd Qu.: 0.11000 3rd Qu.: 0.1400 3rd Qu.: 0.1200 3rd Qu.: 0.271250
## Max. : 1.00500 Max. : 0.4800 Max. : 0.5850 Max. : 0.930000
## data.1799 data.1800 data.1801 data.1802
## Min. :-0.7100 Min. :-0.9850 Min. :-1.27000 Min. :-1.06000
## 1st Qu.:-0.1562 1st Qu.:-0.2525 1st Qu.:-0.22250 1st Qu.:-0.32751
## Median : 0.0300 Median : 0.0500 Median :-0.02500 Median :-0.05500
## Mean : 0.1245 Mean : 0.0300 Mean :-0.06325 Mean :-0.05675
## 3rd Qu.: 0.4238 3rd Qu.: 0.2838 3rd Qu.: 0.17125 3rd Qu.: 0.15000
## Max. : 1.1600 Max. : 0.8750 Max. : 0.75000 Max. : 1.33500
## data.1803 data.1804 data.1805 data.1806
## Min. :-0.8900 Min. :-0.82000 Min. :-0.90998 Min. :-1.1000
## 1st Qu.:-0.5425 1st Qu.:-0.31250 1st Qu.:-0.43248 1st Qu.:-0.4100
## Median :-0.1350 Median : 0.04499 Median : 0.00000 Median :-0.0300
## Mean :-0.1606 Mean : 0.02425 Mean :-0.05848 Mean :-0.1025
## 3rd Qu.: 0.1525 3rd Qu.: 0.34750 3rd Qu.: 0.27502 3rd Qu.: 0.2025
## Max. : 0.5800 Max. : 0.85000 Max. : 0.69002 Max. : 0.6800
## data.1807 data.1808 data.1809 data.1810
## Min. :-0.83000 Min. :-1.09499 Min. :-0.62000 Min. :-1.31250
## 1st Qu.:-0.43750 1st Qu.:-0.33999 1st Qu.:-0.29000 1st Qu.:-0.29500
## Median :-0.06500 Median :-0.06500 Median :-0.03499 Median :-0.04252
## Mean :-0.09375 Mean :-0.01924 Mean :-0.03300 Mean :-0.05325
## 3rd Qu.: 0.20249 3rd Qu.: 0.33751 3rd Qu.: 0.12500 3rd Qu.: 0.18500
## Max. : 0.74000 Max. : 1.09499 Max. : 0.76000 Max. : 1.06750
## data.1811 data.1812 data.1813 data.1814
## Min. :-0.86002 Min. :-0.71500 Min. :-1.090020 Min. :-1.2800
## 1st Qu.:-0.29252 1st Qu.:-0.33250 1st Qu.:-0.265020 1st Qu.:-0.3175
## Median :-0.10502 Median :-0.05499 Median :-0.007520 Median :-0.0400
## Mean :-0.09227 Mean :-0.04650 Mean : 0.008729 Mean :-0.1325
## 3rd Qu.: 0.04748 3rd Qu.: 0.19747 3rd Qu.: 0.152480 3rd Qu.: 0.1300
## Max. : 0.79996 Max. : 1.21998 Max. : 1.519961 Max. : 0.5700
## data.1815 data.1816 data.1817 data.1818
## Min. :-1.16500 Min. :-1.2200 Min. :-1.08000 Min. :-1.1700
## 1st Qu.:-0.45000 1st Qu.:-0.4000 1st Qu.:-0.50250 1st Qu.:-0.5400
## Median :-0.22500 Median :-0.0600 Median : 0.00000 Median :-0.2300
## Mean :-0.08875 Mean :-0.1138 Mean :-0.09225 Mean :-0.1385
## 3rd Qu.: 0.32500 3rd Qu.: 0.3125 3rd Qu.: 0.22000 3rd Qu.: 0.2575
## Max. : 0.98000 Max. : 0.5800 Max. : 0.93002 Max. : 1.1800
## data.1819 data.1820 data.1821 data.1822
## Min. :-1.58000 Min. :-0.9600 Min. :-1.0800 Min. :-2.81000
## 1st Qu.:-0.35500 1st Qu.:-0.4050 1st Qu.:-0.3050 1st Qu.:-0.52000
## Median :-0.01000 Median :-0.0800 Median :-0.0450 Median :-0.25500
## Mean :-0.04025 Mean :-0.1025 Mean :-0.1228 Mean :-0.29375
## 3rd Qu.: 0.34000 3rd Qu.: 0.1525 3rd Qu.: 0.1025 3rd Qu.: 0.09001
## Max. : 1.29998 Max. : 0.7300 Max. : 0.5800 Max. : 0.77000
## data.1823 data.1824 data.1825 data.1826
## Min. :-1.2000 Min. :-1.39001 Min. :-1.77001 Min. :-0.62500
## 1st Qu.:-0.4550 1st Qu.:-0.45502 1st Qu.:-0.60751 1st Qu.:-0.22251
## Median :-0.0650 Median :-0.12501 Median :-0.00501 Median : 0.00000
## Mean :-0.1830 Mean :-0.09501 Mean :-0.17714 Mean : 0.02875
## 3rd Qu.: 0.0825 3rd Qu.: 0.28999 3rd Qu.: 0.10249 3rd Qu.: 0.33000
## Max. : 1.3350 Max. : 0.76499 Max. : 0.63995 Max. : 0.98998
## data.1827 data.1828 data.1829 data.1830
## Min. :-1.12498 Min. :-1.03000 Min. :-0.825000 Min. :-0.78002
## 1st Qu.:-0.45498 1st Qu.:-0.35751 1st Qu.:-0.277500 1st Qu.:-0.36252
## Median :-0.05498 Median :-0.07000 Median :-0.055000 Median :-0.07004
## Mean :-0.14073 Mean :-0.07425 Mean :-0.004502 Mean :-0.08865
## 3rd Qu.: 0.16753 3rd Qu.: 0.22250 3rd Qu.: 0.242505 3rd Qu.: 0.14248
## Max. : 0.61500 Max. : 0.93998 Max. : 1.174980 Max. : 0.78996
## data.1831 data.1832 data.1833 data.1834
## Min. :-1.1000 Min. :-1.0600 Min. :-1.2400 Min. :-1.2100100
## 1st Qu.:-0.2375 1st Qu.:-0.5175 1st Qu.:-0.4125 1st Qu.:-0.1450098
## Median : 0.0000 Median :-0.1400 Median :-0.1000 Median :-0.0000049
## Mean :-0.0430 Mean :-0.1125 Mean :-0.1115 Mean : 0.0183642
## 3rd Qu.: 0.2375 3rd Qu.: 0.3125 3rd Qu.: 0.1638 3rd Qu.: 0.2224902
## Max. : 1.0350 Max. : 0.8800 Max. : 1.3300 Max. : 0.8199902
## data.1835 data.1836 data.1837 data.1838
## Min. :-1.015000 Min. :-1.55000 Min. :-2.04500 Min. :-1.7000
## 1st Qu.:-0.427500 1st Qu.:-0.61250 1st Qu.:-0.50250 1st Qu.:-0.6188
## Median :-0.040000 Median : 0.00000 Median :-0.16000 Median : 0.0000
## Mean :-0.007751 Mean : 0.09537 Mean : 0.01975 Mean :-0.1538
## 3rd Qu.: 0.282500 3rd Qu.: 0.64750 3rd Qu.: 0.83749 3rd Qu.: 0.3900
## Max. : 1.389980 Max. : 3.01998 Max. : 2.96500 Max. : 1.2300
## data.1839 data.1840 data.1841 data.1842
## Min. :-1.20000 Min. :-2.1400 Min. :-1.70002 Min. :-1.8500
## 1st Qu.:-0.50750 1st Qu.:-0.5650 1st Qu.:-0.66625 1st Qu.:-0.5675
## Median :-0.03000 Median :-0.0850 Median :-0.24000 Median :-0.1850
## Mean :-0.07075 Mean :-0.2293 Mean : 0.07862 Mean :-0.1100
## 3rd Qu.: 0.27500 3rd Qu.: 0.1425 3rd Qu.: 0.48000 3rd Qu.: 0.3800
## Max. : 1.25998 Max. : 1.3500 Max. : 3.44998 Max. : 1.1100
## data.1843 data.1844 data.1845 data.1846
## Min. :-1.48000 Min. :-0.79000 Min. :-0.82001 Min. :-0.87000
## 1st Qu.:-0.32500 1st Qu.:-0.23753 1st Qu.:-0.33251 1st Qu.:-0.40000
## Median :-0.02501 Median :-0.10000 Median :-0.02000 Median :-0.01000
## Mean : 0.06712 Mean :-0.06725 Mean :-0.03176 Mean :-0.06525
## 3rd Qu.: 0.46250 3rd Qu.: 0.07000 3rd Qu.: 0.24999 3rd Qu.: 0.14501
## Max. : 2.03000 Max. : 0.95000 Max. : 1.09999 Max. : 0.88998
## data.1847 data.1848 data.1849 data.1850
## Min. :-1.0200 Min. :-1.91000 Min. :-1.41000 Min. :-1.24501
## 1st Qu.:-0.2875 1st Qu.:-0.34500 1st Qu.:-0.43000 1st Qu.:-0.29751
## Median :-0.0200 Median : 0.00000 Median :-0.04001 Median : 0.00000
## Mean :-0.0485 Mean : 0.06175 Mean : 0.01125 Mean : 0.08424
## 3rd Qu.: 0.2025 3rd Qu.: 0.53500 3rd Qu.: 0.42750 3rd Qu.: 0.36999
## Max. : 0.7500 Max. : 1.57002 Max. : 1.48000 Max. : 1.80499
## data.1851 data.1852 data.1853 data.1854
## Min. :-1.21000 Min. :-0.855 Min. :-0.9900 Min. :-1.30000
## 1st Qu.:-0.26001 1st Qu.:-0.210 1st Qu.:-0.2425 1st Qu.:-0.34625
## Median : 0.00000 Median :-0.025 Median :-0.0250 Median :-0.00501
## Mean :-0.02725 Mean :-0.015 Mean :-0.0290 Mean :-0.12175
## 3rd Qu.: 0.23250 3rd Qu.: 0.220 3rd Qu.: 0.1825 3rd Qu.: 0.18250
## Max. : 0.90002 Max. : 1.000 Max. : 0.7300 Max. : 0.67002
## data.1855 data.1856 data.1857 data.1858
## Min. :-1.4950 Min. :-1.0550 Min. :-1.0700 Min. :-0.85500
## 1st Qu.:-0.4100 1st Qu.:-0.5075 1st Qu.:-0.4000 1st Qu.:-0.33500
## Median :-0.0300 Median :-0.0750 Median :-0.0700 Median :-0.08000
## Mean :-0.0795 Mean :-0.1023 Mean :-0.1996 Mean :-0.07125
## 3rd Qu.: 0.2650 3rd Qu.: 0.3175 3rd Qu.: 0.0500 3rd Qu.: 0.16500
## Max. : 1.3750 Max. : 1.0050 Max. : 0.6500 Max. : 0.66000
## data.1859 data.1860 data.1861 data.1862
## Min. :-0.7900 Min. :-1.7800 Min. :-1.610 Min. :-0.8000
## 1st Qu.:-0.4700 1st Qu.:-0.5175 1st Qu.:-0.560 1st Qu.:-0.3925
## Median :-0.2200 Median :-0.1700 Median :-0.245 Median :-0.0500
## Mean :-0.1315 Mean :-0.2218 Mean :-0.234 Mean :-0.1240
## 3rd Qu.: 0.1250 3rd Qu.: 0.0425 3rd Qu.: 0.080 3rd Qu.: 0.1025
## Max. : 1.4600 Max. : 1.3200 Max. : 1.480 Max. : 1.1200
## data.1863 data.1864 data.1865 data.1866
## Min. :-0.779980 Min. :-1.8350000 Min. :-1.21000 Min. :-0.66000
## 1st Qu.:-0.324985 1st Qu.:-0.3750000 1st Qu.:-0.21125 1st Qu.:-0.11750
## Median : 0.015000 Median :-0.0050098 Median :-0.05999 Median : 0.00000
## Mean :-0.003982 Mean :-0.0007515 Mean :-0.02750 Mean :-0.06675
## 3rd Qu.: 0.238769 3rd Qu.: 0.3125000 3rd Qu.: 0.12500 3rd Qu.: 0.10250
## Max. : 1.265019 Max. : 1.4600000 Max. : 1.21000 Max. : 0.41002
## data.1867 data.1868 data.1869 data.1870
## Min. :-1.67997 Min. :-1.11500 Min. :-1.040 Min. :-1.11500
## 1st Qu.:-0.39247 1st Qu.:-0.38250 1st Qu.:-0.555 1st Qu.:-0.42000
## Median :-0.01497 Median :-0.04500 Median :-0.140 Median :-0.04499
## Mean : 0.02753 Mean :-0.03775 Mean :-0.152 Mean :-0.15375
## 3rd Qu.: 0.36253 3rd Qu.: 0.26875 3rd Qu.: 0.250 3rd Qu.: 0.12500
## Max. : 1.26999 Max. : 1.16500 Max. : 0.760 Max. : 0.45000
## data.1871 data.1872 data.1873 data.1874
## Min. :-1.52000 Min. :-0.99000 Min. :-1.6750 Min. :-0.9950
## 1st Qu.:-0.56000 1st Qu.:-0.33000 1st Qu.:-0.4675 1st Qu.:-0.3137
## Median :-0.09001 Median :-0.02001 Median :-0.0200 Median :-0.1250
## Mean :-0.21500 Mean :-0.06750 Mean :-0.1604 Mean :-0.1125
## 3rd Qu.: 0.17000 3rd Qu.: 0.16250 3rd Qu.: 0.2700 3rd Qu.: 0.1875
## Max. : 0.69000 Max. : 0.73000 Max. : 0.8450 Max. : 0.5550
## data.1875 data.1876 data.1877 data.1878
## Min. :-0.9550 Min. :-1.57499 Min. :-2.4500 Min. :-1.0850
## 1st Qu.:-0.2025 1st Qu.:-0.37124 1st Qu.:-0.8550 1st Qu.:-0.4650
## Median : 0.0000 Median :-0.03500 Median :-0.2000 Median :-0.1700
## Mean : 0.0125 Mean :-0.08999 Mean :-0.2588 Mean :-0.1445
## 3rd Qu.: 0.2400 3rd Qu.: 0.15751 3rd Qu.: 0.2050 3rd Qu.: 0.1875
## Max. : 0.8150 Max. : 1.04501 Max. : 1.6700 Max. : 1.0950
## data.1879 data.1880 data.1881 data.1882
## Min. :-1.190000 Min. :-0.88498 Min. :-1.08000 Min. :-0.80000
## 1st Qu.:-0.352500 1st Qu.:-0.39498 1st Qu.:-0.48125 1st Qu.:-0.26000
## Median :-0.045000 Median :-0.10998 Median :-0.06999 Median :-0.05500
## Mean : 0.003749 Mean :-0.07561 Mean :-0.10775 Mean :-0.07538
## 3rd Qu.: 0.482480 3rd Qu.: 0.31500 3rd Qu.: 0.21747 3rd Qu.: 0.06250
## Max. : 1.200000 Max. : 0.82502 Max. : 1.19000 Max. : 0.62000
## data.1883 data.1884 data.1885 data.1886
## Min. :-1.15496 Min. :-0.73000 Min. :-0.62500 Min. :-0.53998
## 1st Qu.:-0.57996 1st Qu.:-0.26501 1st Qu.:-0.27250 1st Qu.:-0.21000
## Median :-0.00499 Median :-0.09001 Median :-0.06503 Median :-0.04001
## Mean :-0.15771 Mean :-0.06825 Mean :-0.04775 Mean :-0.06675
## 3rd Qu.: 0.18254 3rd Qu.: 0.17250 3rd Qu.: 0.14500 3rd Qu.: 0.03750
## Max. : 1.02006 Max. : 0.71000 Max. : 0.76000 Max. : 0.44000
## data.1887 data.1888 data.1889 data.1890
## Min. :-1.3600 Min. :-0.575000 Min. :-0.78000 Min. :-0.80500
## 1st Qu.:-0.4100 1st Qu.:-0.155000 1st Qu.:-0.35000 1st Qu.:-0.25750
## Median :-0.1250 Median :-0.020000 Median :-0.07501 Median :-0.05001
## Mean :-0.1393 Mean :-0.004252 Mean :-0.05275 Mean :-0.05650
## 3rd Qu.: 0.1850 3rd Qu.: 0.095000 3rd Qu.: 0.13249 3rd Qu.: 0.09000
## Max. : 0.6400 Max. : 0.845000 Max. : 1.04000 Max. : 0.91500
## data.1891 data.1892 data.1893 data.1894
## Min. :-0.54000 Min. :-0.840 Min. :-0.69000 Min. :-1.08000
## 1st Qu.:-0.17500 1st Qu.:-0.310 1st Qu.:-0.34250 1st Qu.:-0.42750
## Median : 0.00000 Median :-0.060 Median :-0.06501 Median :-0.05501
## Mean :-0.03175 Mean :-0.089 Mean :-0.12150 Mean :-0.13425
## 3rd Qu.: 0.08249 3rd Qu.: 0.170 3rd Qu.: 0.05997 3rd Qu.: 0.12499
## Max. : 0.78000 Max. : 0.900 Max. : 0.49000 Max. : 0.89000
## data.1895 data.1896 data.1897 data.1898
## Min. :-0.842500 Min. :-0.73000 Min. :-0.56000 Min. :-0.74000
## 1st Qu.:-0.222500 1st Qu.:-0.25250 1st Qu.:-0.30000 1st Qu.:-0.22500
## Median :-0.040000 Median :-0.01501 Median :-0.05001 Median :-0.03999
## Mean :-0.003752 Mean :-0.04925 Mean :-0.04175 Mean :-0.02825
## 3rd Qu.: 0.185000 3rd Qu.: 0.13251 3rd Qu.: 0.14000 3rd Qu.: 0.13747
## Max. : 1.387500 Max. : 0.95000 Max. : 0.59000 Max. : 0.51000
## data.1899 data.1900 data.1901 data.1902
## Min. :-1.34250 Min. :-0.73498 Min. :-0.8600 Min. :-1.45000
## 1st Qu.:-0.36750 1st Qu.:-0.22748 1st Qu.:-0.4100 1st Qu.:-0.41750
## Median :-0.02751 Median :-0.06498 Median :-0.1100 Median :-0.09000
## Mean :-0.12800 Mean :-0.02698 Mean :-0.1033 Mean :-0.06075
## 3rd Qu.: 0.07500 3rd Qu.: 0.23502 3rd Qu.: 0.2200 3rd Qu.: 0.18000
## Max. : 0.41752 Max. : 0.55002 Max. : 1.0000 Max. : 0.93002
## data.1903 data.1904 data.1905 data.1906
## Min. :-1.1150 Min. :-1.0900 Min. :-0.81000 Min. :-0.68996
## 1st Qu.:-0.4425 1st Qu.:-0.3925 1st Qu.:-0.21000 1st Qu.:-0.23247
## Median :-0.0950 Median :-0.0750 Median :-0.02500 Median :-0.00998
## Mean :-0.0645 Mean :-0.0330 Mean : 0.03325 Mean :-0.00334
## 3rd Qu.: 0.2575 3rd Qu.: 0.2100 3rd Qu.: 0.32250 3rd Qu.: 0.16501
## Max. : 0.9350 Max. : 1.1700 Max. : 1.28002 Max. : 1.31006
## data.1907 data.1908 data.1909 data.1910
## Min. :-0.8200 Min. :-1.2000 Min. :-1.42999 Min. :-1.12500
## 1st Qu.:-0.3325 1st Qu.:-0.4125 1st Qu.:-0.41249 1st Qu.:-0.28000
## Median :-0.0575 Median :-0.0200 Median :-0.05999 Median : 0.00000
## Mean :-0.0530 Mean :-0.0220 Mean :-0.11449 Mean :-0.06625
## 3rd Qu.: 0.1725 3rd Qu.: 0.3700 3rd Qu.: 0.21250 3rd Qu.: 0.15497
## Max. : 1.1500 Max. : 1.1900 Max. : 0.96001 Max. : 0.62500
## data.1911 data.1912 data.1913 data.1914
## Min. :-1.08000 Min. :-0.91999 Min. :-1.1250 Min. :-0.8300
## 1st Qu.:-0.45750 1st Qu.:-0.33749 1st Qu.:-0.5325 1st Qu.:-0.3025
## Median :-0.04002 Median :-0.07499 Median :-0.1600 Median :-0.1050
## Mean :-0.12550 Mean :-0.03724 Mean :-0.1285 Mean :-0.0430
## 3rd Qu.: 0.21750 3rd Qu.: 0.33251 3rd Qu.: 0.1975 3rd Qu.: 0.1600
## Max. : 1.06000 Max. : 0.88001 Max. : 1.0950 Max. : 0.8400
## data.1915 data.1916 data.1917 data.1918
## Min. :-1.02500 Min. :-1.17500 Min. :-0.9000 Min. :-1.09000
## 1st Qu.:-0.26750 1st Qu.:-0.31500 1st Qu.:-0.3350 1st Qu.:-0.45000
## Median :-0.03001 Median :-0.03499 Median :-0.0150 Median :-0.07500
## Mean :-0.03550 Mean :-0.08600 Mean :-0.1078 Mean :-0.05425
## 3rd Qu.: 0.28500 3rd Qu.: 0.15250 3rd Qu.: 0.0850 3rd Qu.: 0.33124
## Max. : 0.80002 Max. : 0.67502 Max. : 0.5900 Max. : 1.16002
## data.1919 data.1920 data.1921 data.1922
## Min. :-1.0500 Min. :-1.0850 Min. :-0.9950 Min. :-1.24500
## 1st Qu.:-0.4387 1st Qu.:-0.3425 1st Qu.:-0.3125 1st Qu.:-0.26250
## Median :-0.1500 Median :-0.0450 Median :-0.0400 Median :-0.03500
## Mean :-0.1382 Mean :-0.1128 Mean :-0.0600 Mean :-0.06125
## 3rd Qu.: 0.1625 3rd Qu.: 0.1587 3rd Qu.: 0.2075 3rd Qu.: 0.19251
## Max. : 0.9500 Max. : 0.7350 Max. : 0.8400 Max. : 0.47000
## data.1923 data.1924 data.1925 data.1926
## Min. :-1.04500 Min. :-1.69000 Min. :-1.49000 Min. :-2.0050
## 1st Qu.:-0.27000 1st Qu.:-0.28253 1st Qu.:-0.36250 1st Qu.:-0.3300
## Median :-0.06000 Median :-0.02000 Median :-0.03502 Median : 0.0700
## Mean :-0.04725 Mean :-0.06625 Mean :-0.08800 Mean :-0.0665
## 3rd Qu.: 0.22250 3rd Qu.: 0.22250 3rd Qu.: 0.20750 3rd Qu.: 0.2850
## Max. : 0.94500 Max. : 0.89000 Max. : 1.33000 Max. : 0.7050
## data.1927 data.1928 data.1929 data.1930
## Min. :-1.10498 Min. :-1.515000 Min. :-0.89998 Min. :-0.75500
## 1st Qu.:-0.27498 1st Qu.:-0.335000 1st Qu.:-0.26498 1st Qu.:-0.32000
## Median : 0.00000 Median :-0.025000 Median :-0.08498 Median :-0.03500
## Mean :-0.03373 Mean :-0.001252 Mean :-0.04823 Mean : 0.02725
## 3rd Qu.: 0.25251 3rd Qu.: 0.265000 3rd Qu.: 0.21003 3rd Qu.: 0.46000
## Max. : 0.73502 Max. : 1.235000 Max. : 0.47004 Max. : 0.79002
## data.1931 data.1932 data.1933 data.1934
## Min. :-1.1000 Min. :-0.62499 Min. :-0.810000 Min. :-0.91999
## 1st Qu.:-0.4375 1st Qu.:-0.29999 1st Qu.:-0.315015 1st Qu.:-0.19749
## Median :-0.0600 Median :-0.01500 Median :-0.050010 Median :-0.01999
## Mean :-0.0115 Mean : 0.02538 Mean :-0.001502 Mean :-0.03224
## 3rd Qu.: 0.4837 3rd Qu.: 0.22751 3rd Qu.: 0.260000 3rd Qu.: 0.21127
## Max. : 1.3400 Max. : 1.15999 Max. : 0.985000 Max. : 0.88001
## data.1935 data.1936 data.1937 data.1938
## Min. :-1.13498 Min. :-0.79000 Min. :-1.18000 Min. :-1.28000
## 1st Qu.:-0.35247 1st Qu.:-0.28001 1st Qu.:-0.22250 1st Qu.:-0.28250
## Median : 0.04002 Median :-0.00999 Median :-0.04000 Median : 0.00000
## Mean :-0.06798 Mean :-0.02438 Mean :-0.02138 Mean :-0.01238
## 3rd Qu.: 0.25627 3rd Qu.: 0.19000 3rd Qu.: 0.18750 3rd Qu.: 0.20499
## Max. : 0.72502 Max. : 0.80000 Max. : 1.07000 Max. : 1.33000
## data.1939 data.1940 data.1941 data.1942
## Min. :-1.1650 Min. :-1.3350 Min. :-0.95500 Min. :-1.05000
## 1st Qu.:-0.3775 1st Qu.:-0.3950 1st Qu.:-0.31001 1st Qu.:-0.55500
## Median :-0.0500 Median :-0.1750 Median :-0.04000 Median :-0.09999
## Mean :-0.1268 Mean :-0.1498 Mean :-0.07675 Mean :-0.17325
## 3rd Qu.: 0.1425 3rd Qu.: 0.2600 3rd Qu.: 0.16375 3rd Qu.: 0.20999
## Max. : 0.7150 Max. : 0.8800 Max. : 0.65498 Max. : 0.83000
## data.1943 data.1944 data.1945 data.1946
## Min. :-0.74501 Min. :-0.84501 Min. :-1.7700 Min. :-0.75500
## 1st Qu.:-0.22502 1st Qu.:-0.33502 1st Qu.:-0.8325 1st Qu.:-0.37750
## Median :-0.00501 Median :-0.11001 Median :-0.1925 Median :-0.05001
## Mean :-0.03801 Mean :-0.01701 Mean :-0.1843 Mean :-0.04238
## 3rd Qu.: 0.22749 3rd Qu.: 0.23749 3rd Qu.: 0.3025 3rd Qu.: 0.12000
## Max. : 0.62999 Max. : 1.23499 Max. : 1.5500 Max. : 0.89500
## data.1947 data.1948 data.1949 data.1950
## Min. :-0.96996 Min. :-1.56500 Min. :-1.09250 Min. :-1.40500
## 1st Qu.:-0.35496 1st Qu.:-0.44500 1st Qu.:-0.40250 1st Qu.:-0.46000
## Median :-0.18497 Median :-0.15000 Median :-0.07751 Median :-0.19500
## Mean :-0.08096 Mean : 0.03062 Mean :-0.02150 Mean :-0.04325
## 3rd Qu.: 0.12754 3rd Qu.: 0.32750 3rd Qu.: 0.20750 3rd Qu.: 0.26750
## Max. : 0.93004 Max. : 2.33500 Max. : 1.48752 Max. : 1.86502
## data.1951 data.1952 data.1953 data.1954
## Min. :-1.02498 Min. :-0.95000 Min. :-1.100 Min. :-1.03501
## 1st Qu.:-0.41748 1st Qu.:-0.41001 1st Qu.:-0.380 1st Qu.:-0.23750
## Median :-0.19998 Median :-0.05500 Median : 0.000 Median :-0.01001
## Mean :-0.09973 Mean :-0.06913 Mean :-0.057 Mean :-0.08164
## 3rd Qu.: 0.12252 3rd Qu.: 0.23497 3rd Qu.: 0.245 3rd Qu.: 0.17998
## Max. : 1.27504 Max. : 0.95998 Max. : 0.530 Max. : 0.66499
## data.1955 data.1956 data.1957 data.1958
## Min. :-1.23998 Min. :-1.0750 Min. :-0.90501 Min. :-1.25000
## 1st Qu.:-0.22623 1st Qu.:-0.3225 1st Qu.:-0.26251 1st Qu.:-0.40750
## Median :-0.00999 Median :-0.1000 Median :-0.05001 Median :-0.00500
## Mean :-0.07923 Mean :-0.1115 Mean :-0.08301 Mean :-0.08175
## 3rd Qu.: 0.19503 3rd Qu.: 0.1400 3rd Qu.: 0.20249 3rd Qu.: 0.28997
## Max. : 0.57002 Max. : 0.7350 Max. : 0.64499 Max. : 0.81000
## data.1959 data.1960 data.1961 data.1962
## Min. :-1.06999 Min. :-0.69000 Min. :-0.78002 Min. :-1.0450
## 1st Qu.:-0.36999 1st Qu.:-0.25000 1st Qu.:-0.33502 1st Qu.:-0.4475
## Median :-0.04500 Median :-0.02000 Median :-0.08002 Median :-0.1600
## Mean :-0.06237 Mean : 0.01925 Mean :-0.08427 Mean :-0.1549
## 3rd Qu.: 0.13501 3rd Qu.: 0.24500 3rd Qu.: 0.11498 3rd Qu.: 0.0800
## Max. : 0.91999 Max. : 0.81000 Max. : 0.82996 Max. : 1.4750
## data.1963 data.1964 data.1965 data.1966
## Min. :-0.73499 Min. :-0.750 Min. :-0.84000 Min. :-1.24000
## 1st Qu.:-0.22499 1st Qu.:-0.385 1st Qu.:-0.21000 1st Qu.:-0.29500
## Median :-0.03998 Median :-0.110 Median :-0.02999 Median :-0.02500
## Mean :-0.03374 Mean :-0.064 Mean :-0.04775 Mean : 0.03475
## 3rd Qu.: 0.25251 3rd Qu.: 0.265 3rd Qu.: 0.14500 3rd Qu.: 0.29500
## Max. : 0.83499 Max. : 0.850 Max. : 0.66998 Max. : 1.41000
## data.1967 data.1968 data.1969 data.1970
## Min. :-1.3800 Min. :-1.39000 Min. :-1.220000 Min. :-0.81500
## 1st Qu.:-0.3625 1st Qu.:-0.58250 1st Qu.:-0.252500 1st Qu.:-0.30250
## Median :-0.0350 Median :-0.10000 Median :-0.005000 Median :-0.02500
## Mean :-0.0880 Mean :-0.07975 Mean : 0.001873 Mean :-0.01975
## 3rd Qu.: 0.2200 3rd Qu.: 0.37999 3rd Qu.: 0.257500 3rd Qu.: 0.24500
## Max. : 0.9900 Max. : 2.04000 Max. : 1.469980 Max. : 1.56498
## data.1971 data.1972 data.1973 data.1974
## Min. :-0.95000 Min. :-1.6100000 Min. :-0.9100 Min. :-0.59000
## 1st Qu.:-0.28375 1st Qu.:-0.4550000 1st Qu.:-0.3237 1st Qu.:-0.21875
## Median :-0.02500 Median :-0.0000098 Median :-0.0550 Median :-0.09999
## Mean : 0.01575 Mean :-0.0630015 Mean :-0.0680 Mean :-0.05800
## 3rd Qu.: 0.28250 3rd Qu.: 0.3799854 3rd Qu.: 0.2500 3rd Qu.: 0.13250
## Max. : 2.07998 Max. : 1.0950000 Max. : 0.7300 Max. : 0.59000
## data.1975 data.1976 data.1977 data.1978
## Min. :-0.65998 Min. :-0.7000 Min. :-0.81000 Min. :-1.54500
## 1st Qu.:-0.34500 1st Qu.:-0.3375 1st Qu.:-0.25250 1st Qu.:-0.34750
## Median :-0.06998 Median :-0.0700 Median :-0.03502 Median :-0.05502
## Mean :-0.10486 Mean :-0.1214 Mean :-0.07375 Mean :-0.17925
## 3rd Qu.: 0.07252 3rd Qu.: 0.0350 3rd Qu.: 0.09500 3rd Qu.: 0.12250
## Max. : 0.87000 Max. : 0.5550 Max. : 0.48000 Max. : 0.88498
## data.1979 data.1980 data.1981 data.1982
## Min. :-1.74498 Min. :-2.3850 Min. :-2.1200 Min. :-0.89000
## 1st Qu.:-0.57998 1st Qu.:-0.9250 1st Qu.:-0.8625 1st Qu.:-0.21500
## Median :-0.01999 Median :-0.2650 Median :-0.1900 Median : 0.00000
## Mean :-0.14398 Mean :-0.3814 Mean :-0.2996 Mean : 0.05075
## 3rd Qu.: 0.16253 3rd Qu.: 0.1537 3rd Qu.: 0.2800 3rd Qu.: 0.29247
## Max. : 2.25502 Max. : 1.5550 Max. : 1.2700 Max. : 1.56500
## data.1983 data.1984 data.1985 data.1986
## Min. :-0.87501 Min. :-1.4100 Min. :-1.25000 Min. :-1.12996
## 1st Qu.:-0.50751 1st Qu.:-0.6850 1st Qu.:-0.31250 1st Qu.:-0.25871
## Median :-0.06751 Median :-0.1350 Median :-0.06000 Median :-0.02497
## Mean :-0.10351 Mean :-0.2160 Mean :-0.08725 Mean :-0.01746
## 3rd Qu.: 0.24748 3rd Qu.: 0.1025 3rd Qu.: 0.13501 3rd Qu.: 0.31004
## Max. : 1.05499 Max. : 1.1200 Max. : 1.04000 Max. : 1.24004
## data.1987 data.1988 data.1989 data.1990
## Min. :-2.4400 Min. :-1.3700 Min. :-1.7850 Min. :-1.1500
## 1st Qu.:-0.5175 1st Qu.:-0.6975 1st Qu.:-0.5325 1st Qu.:-0.3275
## Median :-0.1700 Median :-0.1900 Median :-0.2175 Median :-0.1200
## Mean :-0.1785 Mean :-0.2715 Mean :-0.1877 Mean :-0.0515
## 3rd Qu.: 0.2700 3rd Qu.: 0.0700 3rd Qu.: 0.1400 3rd Qu.: 0.2550
## Max. : 1.0400 Max. : 1.1300 Max. : 1.5000 Max. : 1.1650
## data.1991 data.1992 data.1993 data.1994
## Min. :-1.04000 Min. :-1.355 Min. :-1.06499 Min. :-1.2800
## 1st Qu.:-0.37000 1st Qu.:-0.360 1st Qu.:-0.33999 1st Qu.:-0.2675
## Median :-0.09000 Median :-0.045 Median :-0.03249 Median :-0.0250
## Mean :-0.01225 Mean : 0.020 Mean :-0.02699 Mean :-0.0675
## 3rd Qu.: 0.31501 3rd Qu.: 0.305 3rd Qu.: 0.22251 3rd Qu.: 0.1750
## Max. : 1.22998 Max. : 1.455 Max. : 1.31501 Max. : 1.1500
## data.1995 data.1996 data.1997 data.1998
## Min. :-1.20750 Min. :-1.2800 Min. :-1.270000 Min. :-1.080000
## 1st Qu.:-0.26501 1st Qu.:-0.2925 1st Qu.:-0.247500 1st Qu.:-0.214995
## Median :-0.04750 Median :-0.0050 Median : 0.000000 Median :-0.025010
## Mean :-0.03875 Mean :-0.0180 Mean : 0.006499 Mean :-0.006001
## 3rd Qu.: 0.27250 3rd Qu.: 0.2075 3rd Qu.: 0.262500 3rd Qu.: 0.212500
## Max. : 0.91248 Max. : 1.2300 Max. : 1.050000 Max. : 0.920000
## data.1999 data.2000 data.2001 data.2002
## Min. :-0.72000 Min. :-0.83500 Min. :-0.5300 Min. :-0.88001
## 1st Qu.:-0.16250 1st Qu.:-0.28250 1st Qu.:-0.3125 1st Qu.:-0.42501
## Median : 0.00500 Median :-0.04000 Median :-0.0950 Median :-0.06501
## Mean : 0.04125 Mean :-0.04413 Mean :-0.0400 Mean :-0.07751
## 3rd Qu.: 0.24251 3rd Qu.: 0.21000 3rd Qu.: 0.1500 3rd Qu.: 0.20999
## Max. : 0.78000 Max. : 0.79500 Max. : 0.5900 Max. : 1.04997
## data.2003 data.2004 data.2005 data.2006
## Min. :-1.20000 Min. :-0.80000 Min. :-1.27000 Min. :-1.0600
## 1st Qu.:-0.46251 1st Qu.:-0.30750 1st Qu.:-0.38999 1st Qu.:-0.3200
## Median :-0.19000 Median : 0.01000 Median :-0.06000 Median :-0.0250
## Mean :-0.08663 Mean :-0.05688 Mean :-0.05163 Mean :-0.1163
## 3rd Qu.: 0.26000 3rd Qu.: 0.21000 3rd Qu.: 0.25499 3rd Qu.: 0.1725
## Max. : 1.33000 Max. : 0.66998 Max. : 0.86000 Max. : 0.6500
## data.2007 data.2008 data.2009 data.2010
## Min. :-2.2800 Min. :-4.1700 Min. :-4.4350 Min. :-0.86000
## 1st Qu.:-0.4375 1st Qu.:-1.4325 1st Qu.:-0.8175 1st Qu.:-0.36750
## Median :-0.1100 Median :-0.1200 Median :-0.0375 Median :-0.01501
## Mean :-0.1655 Mean :-0.6890 Mean :-0.5643 Mean :-0.08400
## 3rd Qu.: 0.2575 3rd Qu.: 0.2625 3rd Qu.: 0.3325 3rd Qu.: 0.12250
## Max. : 0.7400 Max. : 1.2900 Max. : 1.3650 Max. : 0.60000
## data.2011 data.2012 data.2013 data.2014
## Min. :-0.62500 Min. :-0.815 Min. :-0.875000 Min. :-0.50500
## 1st Qu.:-0.33250 1st Qu.:-0.365 1st Qu.:-0.275000 1st Qu.:-0.13125
## Median :-0.08500 Median :-0.030 Median :-0.020000 Median :-0.00250
## Mean :-0.04925 Mean :-0.040 Mean : 0.008998 Mean : 0.02937
## 3rd Qu.: 0.23750 3rd Qu.: 0.280 3rd Qu.: 0.255000 3rd Qu.: 0.12750
## Max. : 0.63000 Max. : 1.405 Max. : 0.995000 Max. : 1.12500
## data.2015 data.2016 data.2017 data.2018
## Min. :-1.7450 Min. :-0.86000 Min. :-0.7200 Min. :-0.68499
## 1st Qu.:-0.6050 1st Qu.:-0.22000 1st Qu.:-0.2925 1st Qu.:-0.33750
## Median :-0.2650 Median :-0.04001 Median :-0.0650 Median :-0.04999
## Mean :-0.1613 Mean :-0.08150 Mean :-0.0570 Mean :-0.02662
## 3rd Qu.: 0.1925 3rd Qu.: 0.09750 3rd Qu.: 0.1150 3rd Qu.: 0.13751
## Max. : 1.5850 Max. : 0.47000 Max. : 1.0700 Max. : 1.24501
## data.2019 data.2020 data.2021 data.2022
## Min. :-0.859990 Min. :-0.76501 Min. :-1.1650 Min. :-0.70501
## 1st Qu.:-0.209990 1st Qu.:-0.26501 1st Qu.:-0.4475 1st Qu.:-0.44001
## Median : 0.004995 Median :-0.06501 Median :-0.1150 Median :-0.06001
## Mean : 0.013632 Mean :-0.02626 Mean :-0.1695 Mean :-0.14864
## 3rd Qu.: 0.272510 3rd Qu.: 0.14999 3rd Qu.: 0.1400 3rd Qu.: 0.01749
## Max. : 0.700010 Max. : 1.10499 Max. : 0.6550 Max. : 0.97501
## data.2023 data.2024 data.2025 data.2026
## Min. :-1.2450 Min. :-1.8000 Min. :-3.7700 Min. :-1.5650
## 1st Qu.:-0.4825 1st Qu.:-0.7412 1st Qu.:-1.3325 1st Qu.:-0.5962
## Median : 0.0000 Median :-0.1650 Median :-0.3050 Median :-0.0300
## Mean :-0.1268 Mean :-0.1547 Mean :-0.7050 Mean :-0.1267
## 3rd Qu.: 0.2000 3rd Qu.: 0.3350 3rd Qu.: 0.3025 3rd Qu.: 0.2900
## Max. : 0.6250 Max. : 1.3100 Max. : 1.3000 Max. : 1.2050
## data.2027 data.2028 data.2029 data.2030
## Min. :-1.25000 Min. :-1.05000 Min. :-1.10000 Min. :-2.35000
## 1st Qu.:-0.28250 1st Qu.:-0.33500 1st Qu.:-0.27000 1st Qu.:-0.45625
## Median : 0.01500 Median :-0.03000 Median :-0.05000 Median :-0.07001
## Mean : 0.01262 Mean :-0.01475 Mean :-0.06913 Mean :-0.17500
## 3rd Qu.: 0.28500 3rd Qu.: 0.31250 3rd Qu.: 0.15499 3rd Qu.: 0.39250
## Max. : 1.04000 Max. : 1.07000 Max. : 0.98998 Max. : 1.26000
## data.2031 data.2032 data.2033 data.2034
## Min. :-1.39000 Min. :-0.98998 Min. :-1.0050 Min. :-0.80498
## 1st Qu.:-0.37000 1st Qu.:-0.24750 1st Qu.:-0.4450 1st Qu.:-0.39750
## Median : 0.00499 Median :-0.01001 Median : 0.0750 Median : 0.01502
## Mean :-0.09300 Mean :-0.03400 Mean : 0.0185 Mean :-0.06948
## 3rd Qu.: 0.25750 3rd Qu.: 0.31250 3rd Qu.: 0.4800 3rd Qu.: 0.24502
## Max. : 1.04000 Max. : 0.99000 Max. : 1.0000 Max. : 0.63502
## data.2035 data.2036 data.2037 data.2038
## Min. :-0.69000 Min. :-0.9850 Min. :-1.01500 Min. :-1.07000
## 1st Qu.:-0.43125 1st Qu.:-0.3625 1st Qu.:-0.27500 1st Qu.:-0.18000
## Median :-0.03000 Median :-0.0450 Median : 0.01250 Median :-0.03000
## Mean :-0.08275 Mean :-0.1051 Mean : 0.02387 Mean : 0.01125
## 3rd Qu.: 0.23749 3rd Qu.: 0.1675 3rd Qu.: 0.34249 3rd Qu.: 0.19500
## Max. : 0.48000 Max. : 0.7550 Max. : 1.13500 Max. : 0.71000
## data.2039 data.2040 data.2041 data.2042
## Min. :-1.7100 Min. :-1.91000 Min. :-1.14000 Min. :-1.545000
## 1st Qu.:-0.6212 1st Qu.:-0.16750 1st Qu.:-0.42750 1st Qu.:-0.387500
## Median :-0.1350 Median : 0.00500 Median :-0.06001 Median :-0.050000
## Mean :-0.1905 Mean :-0.06388 Mean : 0.01600 Mean :-0.003126
## 3rd Qu.: 0.2825 3rd Qu.: 0.19751 3rd Qu.: 0.30001 3rd Qu.: 0.340000
## Max. : 0.7200 Max. : 0.68000 Max. : 1.87000 Max. : 1.365000
## data.2043 data.2044 data.2045 data.2046
## Min. :-1.6550 Min. :-0.9650 Min. :-0.9550 Min. :-1.21499
## 1st Qu.:-0.6000 1st Qu.:-0.3175 1st Qu.:-0.4225 1st Qu.:-0.49750
## Median : 0.0000 Median :-0.1150 Median : 0.0000 Median :-0.05499
## Mean :-0.1899 Mean :-0.0965 Mean :-0.0995 Mean :-0.04349
## 3rd Qu.: 0.2175 3rd Qu.: 0.1575 3rd Qu.: 0.1550 3rd Qu.: 0.43501
## Max. : 0.6150 Max. : 1.2150 Max. : 0.6600 Max. : 1.06499
## data.2047 data.2048 data.2049 data.2050
## Min. :-1.47500 Min. :-1.4600 Min. :-1.48500 Min. :-0.74000
## 1st Qu.:-0.35250 1st Qu.:-0.3500 1st Qu.:-0.27250 1st Qu.:-0.30501
## Median :-0.04001 Median :-0.1750 Median :-0.00250 Median :-0.02002
## Mean :-0.12000 Mean :-0.2348 Mean :-0.01313 Mean :-0.03463
## 3rd Qu.: 0.21001 3rd Qu.: 0.0800 3rd Qu.: 0.25500 3rd Qu.: 0.14500
## Max. : 0.62500 Max. : 0.4350 Max. : 1.09500 Max. : 1.28998
## data.2051 data.2052 data.2053 data.2054
## Min. :-0.91500 Min. :-1.3400 Min. :-1.2800 Min. :-1.1500
## 1st Qu.:-0.35000 1st Qu.:-0.6562 1st Qu.:-0.4325 1st Qu.:-0.4600
## Median :-0.09001 Median :-0.3500 Median :-0.1625 Median :-0.2100
## Mean :-0.02250 Mean :-0.1683 Mean :-0.1360 Mean :-0.1578
## 3rd Qu.: 0.34500 3rd Qu.: 0.4550 3rd Qu.: 0.1575 3rd Qu.: 0.1175
## Max. : 1.36500 Max. : 1.0700 Max. : 1.0600 Max. : 1.0600
## data.2055 data.2056 data.2057 data.2058
## Min. :-1.1200 Min. :-0.94498 Min. :-1.03500 Min. :-1.1650
## 1st Qu.:-0.5300 1st Qu.:-0.53747 1st Qu.:-0.33750 1st Qu.:-0.3725
## Median :-0.1400 Median :-0.14498 Median :-0.05500 Median :-0.1400
## Mean :-0.1555 Mean :-0.17661 Mean :-0.01938 Mean :-0.1075
## 3rd Qu.: 0.1725 3rd Qu.: 0.09627 3rd Qu.: 0.23750 3rd Qu.: 0.2325
## Max. : 0.8700 Max. : 0.94500 Max. : 1.30500 Max. : 0.8950
## data.2059 data.2060 data.2061 data.2062
## Min. :-1.48000 Min. :-2.77002 Min. :-1.0550 Min. :-1.0700
## 1st Qu.:-0.39000 1st Qu.:-0.46752 1st Qu.:-0.3550 1st Qu.:-0.5525
## Median : 0.00000 Median :-0.07002 Median :-0.0300 Median :-0.0450
## Mean :-0.05063 Mean :-0.13390 Mean : 0.0390 Mean :-0.1293
## 3rd Qu.: 0.27250 3rd Qu.: 0.34748 3rd Qu.: 0.3275 3rd Qu.: 0.2125
## Max. : 0.86000 Max. : 1.37498 Max. : 0.9900 Max. : 1.2450
## data.2063 data.2064 data.2065 data.2066
## Min. :-1.2375 Min. :-1.02000 Min. :-1.51000 Min. :-1.47500
## 1st Qu.:-0.4000 1st Qu.:-0.45250 1st Qu.:-0.49000 1st Qu.:-0.62000
## Median :-0.0775 Median :-0.03500 Median : 0.00000 Median : 0.00000
## Mean :-0.1355 Mean : 0.01425 Mean : 0.07888 Mean :-0.17375
## 3rd Qu.: 0.2250 3rd Qu.: 0.17749 3rd Qu.: 0.24000 3rd Qu.: 0.00375
## Max. : 0.5925 Max. : 2.07000 Max. : 3.46000 Max. : 2.03500
## data.2067 data.2068 data.2069 data.2070
## Min. :-0.9750 Min. :-2.70000 Min. :-1.9400 Min. :-1.9700
## 1st Qu.:-0.5050 1st Qu.:-0.73250 1st Qu.:-0.7375 1st Qu.:-0.6538
## Median : 0.0000 Median :-0.01002 Median :-0.1800 Median : 0.0000
## Mean : 0.0535 Mean : 0.17750 Mean :-0.0155 Mean : 0.0225
## 3rd Qu.: 0.3837 3rd Qu.: 0.28001 3rd Qu.: 0.7275 3rd Qu.: 0.4825
## Max. : 1.6650 Max. : 4.46000 Max. : 2.1900 Max. : 2.6900
## data.2071 data.2072 data.2073 data.2074
## Min. :-2.3200 Min. :-1.1400 Min. :-1.37000 Min. :-2.13000
## 1st Qu.:-1.9000 1st Qu.:-0.3762 1st Qu.:-0.30750 1st Qu.:-0.73250
## Median :-0.8250 Median : 0.0000 Median : 0.00000 Median :-0.11500
## Mean :-0.5021 Mean : 0.1246 Mean :-0.04787 Mean : 0.05062
## 3rd Qu.: 0.5600 3rd Qu.: 0.1525 3rd Qu.: 0.12751 3rd Qu.: 0.36000
## Max. : 2.3800 Max. : 2.8100 Max. : 1.34000 Max. : 4.48002
## data.2075 data.2076 data.2077 data.2078
## Min. :-1.9000 Min. :-1.59000 Min. :-1.0100 Min. :-0.750000
## 1st Qu.:-0.3075 1st Qu.:-0.45750 1st Qu.:-0.3825 1st Qu.:-0.210000
## Median :-0.0550 Median : 0.00000 Median : 0.0000 Median :-0.010000
## Mean : 0.1185 Mean : 0.03125 Mean :-0.0495 Mean : 0.004874
## 3rd Qu.: 0.3550 3rd Qu.: 0.27750 3rd Qu.: 0.1850 3rd Qu.: 0.210005
## Max. : 3.8600 Max. : 2.84000 Max. : 1.0200 Max. : 1.630000
## data.2079 data.2080 data.2081 data.2082
## Min. :-0.9950 Min. :-1.660 Min. :-1.4600 Min. :-1.5600
## 1st Qu.:-0.2900 1st Qu.:-0.440 1st Qu.:-0.3225 1st Qu.:-0.3275
## Median :-0.0500 Median : 0.000 Median : 0.0000 Median : 0.0000
## Mean :-0.1195 Mean :-0.219 Mean :-0.1211 Mean :-0.1142
## 3rd Qu.: 0.0950 3rd Qu.: 0.000 3rd Qu.: 0.0000 3rd Qu.: 0.0000
## Max. : 0.6450 Max. : 0.830 Max. : 1.6700 Max. : 1.5700
## data.2083 data.2084 data.2085 data.2086
## Min. :-1.61 Min. :-0.9850 Min. :-1.3400 Min. :-1.5100
## 1st Qu.:-0.37 1st Qu.:-0.4725 1st Qu.:-0.4000 1st Qu.:-0.6175
## Median : 0.00 Median :-0.0550 Median : 0.0000 Median : 0.0000
## Mean :-0.10 Mean :-0.1809 Mean : 0.1422 Mean :-0.2053
## 3rd Qu.: 0.00 3rd Qu.: 0.0325 3rd Qu.: 0.1725 3rd Qu.: 0.0000
## Max. : 1.58 Max. : 0.4250 Max. : 3.1900 Max. : 1.1300
## data.2087 data.2088 data.2089 data.2090
## Min. :-1.2950 Min. :-1.0200 Min. :-0.630000 Min. :-1.07500
## 1st Qu.:-0.3325 1st Qu.:-0.2225 1st Qu.:-0.202500 1st Qu.:-0.20000
## Median :-0.1200 Median : 0.0000 Median :-0.005000 Median : 0.01000
## Mean : 0.1792 Mean : 0.0240 Mean :-0.007751 Mean : 0.01037
## 3rd Qu.: 0.7450 3rd Qu.: 0.3500 3rd Qu.: 0.205000 3rd Qu.: 0.33125
## Max. : 2.6250 Max. : 1.1100 Max. : 0.430000 Max. : 0.72500
## data.2091 data.2092 data.2093 data.2094
## Min. :-0.80000 Min. :-1.19000 Min. :-0.78501 Min. :-0.58501
## 1st Qu.:-0.27500 1st Qu.:-0.23250 1st Qu.:-0.32874 1st Qu.:-0.32500
## Median :-0.03500 Median :-0.04500 Median :-0.09499 Median :-0.09001
## Mean :-0.06338 Mean :-0.01925 Mean :-0.09074 Mean :-0.07351
## 3rd Qu.: 0.10000 3rd Qu.: 0.20749 3rd Qu.: 0.10498 3rd Qu.: 0.07999
## Max. : 0.45000 Max. : 0.64000 Max. : 0.76501 Max. : 0.67499
## data.2095 data.2096 data.2097 data.2098
## Min. :-0.5900 Min. :-0.52500 Min. :-1.27002 Min. :-0.7050
## 1st Qu.:-0.2975 1st Qu.:-0.23001 1st Qu.:-0.39875 1st Qu.:-0.3325
## Median :-0.0700 Median :-0.09500 Median :-0.09500 Median :-0.0250
## Mean :-0.1028 Mean :-0.05900 Mean :-0.18700 Mean :-0.0835
## 3rd Qu.: 0.0550 3rd Qu.: 0.09497 3rd Qu.: 0.06999 3rd Qu.: 0.1275
## Max. : 0.5500 Max. : 0.55500 Max. : 0.41000 Max. : 0.7250
## data.2099 data.2100 data.2101 data.2102
## Min. :-0.60000 Min. :-1.0700 Min. :-1.1950 Min. :-2.48001
## 1st Qu.:-0.23750 1st Qu.:-0.2525 1st Qu.:-0.3275 1st Qu.:-0.36001
## Median :-0.09252 Median :-0.0275 Median :-0.1800 Median : 0.00000
## Mean :-0.03725 Mean :-0.1085 Mean :-0.1323 Mean :-0.04601
## 3rd Qu.: 0.14250 3rd Qu.: 0.0625 3rd Qu.: 0.1825 3rd Qu.: 0.00000
## Max. : 0.59000 Max. : 0.5700 Max. : 0.6250 Max. : 2.92999
## data.2103 data.2104 data.2105 data.2106
## Min. :-1.03000 Min. :-0.72998 Min. :-0.7500 Min. :-1.5875
## 1st Qu.:-0.22000 1st Qu.:-0.21748 1st Qu.:-0.3500 1st Qu.:-0.4600
## Median : 0.00000 Median :-0.05498 Median :-0.1100 Median :-0.1875
## Mean :-0.02075 Mean :-0.02098 Mean :-0.1405 Mean :-0.1851
## 3rd Qu.: 0.21249 3rd Qu.: 0.19501 3rd Qu.: 0.0550 3rd Qu.: 0.1350
## Max. : 1.09000 Max. : 0.78002 Max. : 0.4300 Max. : 0.7625
## data.2107 data.2108 data.2109 data.2110
## Min. :-1.4500 Min. :-1.24500 Min. :-1.610039 Min. :-1.67504
## 1st Qu.:-0.6062 1st Qu.:-0.39500 1st Qu.:-0.305000 1st Qu.:-0.41250
## Median :-0.3550 Median : 0.00000 Median :-0.027490 Median :-0.08000
## Mean :-0.1505 Mean :-0.10963 Mean :-0.008752 Mean :-0.07563
## 3rd Qu.: 0.1375 3rd Qu.: 0.00625 3rd Qu.: 0.279985 3rd Qu.: 0.31250
## Max. : 3.4500 Max. : 1.01500 Max. : 1.085000 Max. : 1.11500
## data.2111 data.2112 data.2113 data.2114
## Min. :-1.17501 Min. :-1.580000 Min. :-0.74000 Min. :-1.09996
## 1st Qu.:-0.28500 1st Qu.:-0.332500 1st Qu.:-0.17000 1st Qu.:-0.34746
## Median :-0.02002 Median : 0.045000 Median : 0.00000 Median :-0.19496
## Mean :-0.05689 Mean : 0.002999 Mean : 0.05037 Mean :-0.13196
## 3rd Qu.: 0.12499 3rd Qu.: 0.492500 3rd Qu.: 0.29500 3rd Qu.: 0.09754
## Max. : 0.66499 Max. : 1.080000 Max. : 1.04000 Max. : 0.97004
## data.2115 data.2116 data.2117 data.2118
## Min. :-2.3300 Min. :-1.9600 Min. :-1.30000 Min. :-0.7000
## 1st Qu.:-0.5200 1st Qu.:-0.3825 1st Qu.:-0.37503 1st Qu.:-0.3825
## Median :-0.2000 Median :-0.1050 Median :-0.00501 Median :-0.1000
## Mean :-0.1700 Mean :-0.1450 Mean :-0.10225 Mean :-0.0545
## 3rd Qu.: 0.2125 3rd Qu.: 0.1325 3rd Qu.: 0.22500 3rd Qu.: 0.2125
## Max. : 0.9100 Max. : 0.6200 Max. : 0.63998 Max. : 0.7200
## data.2119 data.2120 data.2121 data.2122
## Min. :-0.82500 Min. :-0.91999 Min. :-1.32002 Min. :-0.98500
## 1st Qu.:-0.40499 1st Qu.:-0.27749 1st Qu.:-0.41005 1st Qu.:-0.38750
## Median :-0.02750 Median :-0.08499 Median :-0.03001 Median :-0.13499
## Mean :-0.07088 Mean :-0.01899 Mean :-0.05202 Mean :-0.06525
## 3rd Qu.: 0.18250 3rd Qu.: 0.24250 3rd Qu.: 0.28748 3rd Qu.: 0.23875
## Max. : 1.07500 Max. : 1.04001 Max. : 0.87998 Max. : 1.06500
## data.2123 data.2124 data.2125 data.2126
## Min. :-0.95501 Min. :-1.4450 Min. :-0.85000 Min. :-0.9300
## 1st Qu.:-0.35001 1st Qu.:-0.2975 1st Qu.:-0.27250 1st Qu.:-0.3500
## Median :-0.09502 Median :-0.0100 Median :-0.06499 Median :-0.0350
## Mean :-0.01501 Mean :-0.0245 Mean :-0.02550 Mean :-0.0480
## 3rd Qu.: 0.37499 3rd Qu.: 0.2850 3rd Qu.: 0.07499 3rd Qu.: 0.1775
## Max. : 1.10499 Max. : 1.0150 Max. : 0.94000 Max. : 0.5650
## data.2127 data.2128 data.2129 data.2130
## Min. :-1.3150 Min. :-0.51998 Min. :-1.20000 Min. :-0.60500
## 1st Qu.:-0.3600 1st Qu.:-0.32498 1st Qu.:-0.46500 1st Qu.:-0.26500
## Median :-0.0600 Median :-0.14498 Median :-0.09999 Median :-0.05500
## Mean :-0.1343 Mean :-0.03248 Mean :-0.04575 Mean : 0.03925
## 3rd Qu.: 0.1600 3rd Qu.: 0.26000 3rd Qu.: 0.29499 3rd Qu.: 0.38499
## Max. : 0.6550 Max. : 1.01002 Max. : 1.15000 Max. : 1.03502
## data.2131 data.2132 data.2133 data.2134
## Min. :-0.71000 Min. :-0.69998 Min. :-0.7300 Min. :-0.93499
## 1st Qu.:-0.36250 1st Qu.:-0.32372 1st Qu.:-0.4350 1st Qu.:-0.39750
## Median :-0.10500 Median :-0.12998 Median :-0.1500 Median :-0.17249
## Mean :-0.07575 Mean :-0.05273 Mean :-0.1285 Mean :-0.06299
## 3rd Qu.: 0.18875 3rd Qu.: 0.14502 3rd Qu.: 0.0550 3rd Qu.: 0.17000
## Max. : 0.92000 Max. : 1.18002 Max. : 0.8000 Max. : 1.39501
## data.2135 data.2136 data.2137 data.2138
## Min. :-0.99500 Min. :-0.7700 Min. :-1.08002 Min. :-0.67000
## 1st Qu.:-0.27500 1st Qu.:-0.3200 1st Qu.:-0.33002 1st Qu.:-0.39501
## Median :-0.02500 Median : 0.0000 Median :-0.03504 Median :-0.08000
## Mean : 0.01025 Mean :-0.0180 Mean :-0.07527 Mean :-0.08425
## 3rd Qu.: 0.35747 3rd Qu.: 0.1925 3rd Qu.: 0.21748 3rd Qu.: 0.17501
## Max. : 1.23500 Max. : 0.6900 Max. : 0.78996 Max. : 0.76000
## data.2139 data.2140 data.2141 data.2142
## Min. :-0.8000 Min. :-0.8700 Min. :-0.55000 Min. :-1.60498
## 1st Qu.:-0.4200 1st Qu.:-0.3725 1st Qu.:-0.25625 1st Qu.:-0.47498
## Median :-0.1500 Median :-0.0850 Median :-0.07999 Median :-0.09498
## Mean :-0.1118 Mean :-0.1486 Mean :-0.03600 Mean :-0.19136
## 3rd Qu.: 0.1400 3rd Qu.: 0.0425 3rd Qu.: 0.23750 3rd Qu.: 0.16502
## Max. : 0.9200 Max. : 0.5800 Max. : 0.46996 Max. : 1.08502
## data.2143 data.2144 data.2145 data.2146
## Min. :-0.90501 Min. :-0.98500 Min. :-1.02501 Min. :-0.6100
## 1st Qu.:-0.28751 1st Qu.:-0.23250 1st Qu.:-0.29502 1st Qu.:-0.2550
## Median :-0.07502 Median : 0.00000 Median : 0.00000 Median :-0.0500
## Mean :-0.05226 Mean :-0.06675 Mean :-0.01901 Mean :-0.0290
## 3rd Qu.: 0.08500 3rd Qu.: 0.15000 3rd Qu.: 0.28749 3rd Qu.: 0.1787
## Max. : 0.76499 Max. : 0.87000 Max. : 1.01499 Max. : 1.1300
## data.2147 data.2148 data.2149 data.2150
## Min. :-0.8700 Min. :-0.94000 Min. :-1.02996 Min. :-1.37000
## 1st Qu.:-0.4900 1st Qu.:-0.47000 1st Qu.:-0.45248 1st Qu.:-0.34750
## Median :-0.0700 Median :-0.02500 Median :-0.01498 Median : 0.03498
## Mean :-0.1113 Mean :-0.08625 Mean :-0.03446 Mean : 0.02700
## 3rd Qu.: 0.0750 3rd Qu.: 0.14625 3rd Qu.: 0.27879 3rd Qu.: 0.40751
## Max. : 1.2300 Max. : 1.19000 Max. : 1.37002 Max. : 1.07000
## data.2151 data.2152 data.2153 data.2154
## Min. :-1.06002 Min. :-1.100000 Min. :-0.870 Min. :-1.12000
## 1st Qu.:-0.35002 1st Qu.:-0.382500 1st Qu.:-0.170 1st Qu.:-0.28750
## Median : 0.00000 Median :-0.005019 Median :-0.015 Median :-0.01501
## Mean :-0.06577 Mean :-0.053377 Mean :-0.011 Mean :-0.04675
## 3rd Qu.: 0.20248 3rd Qu.: 0.287500 3rd Qu.: 0.185 3rd Qu.: 0.21625
## Max. : 1.08998 Max. : 0.670000 Max. : 0.790 Max. : 0.79000
## data.2155 data.2156 data.2157 data.2158
## Min. :-1.22000 Min. :-1.5500 Min. :-1.08000 Min. :-1.08002
## 1st Qu.:-0.44500 1st Qu.:-0.5225 1st Qu.:-0.34249 1st Qu.:-0.19502
## Median :-0.09001 Median :-0.1300 Median :-0.04502 Median :-0.02502
## Mean :-0.14738 Mean :-0.1498 Mean :-0.11125 Mean :-0.02915
## 3rd Qu.: 0.14250 3rd Qu.: 0.2100 3rd Qu.: 0.19000 3rd Qu.: 0.16748
## Max. : 0.77000 Max. : 0.7300 Max. : 0.68000 Max. : 0.61998
## data.2159 data.2160 data.2161 data.2162
## Min. :-1.55000 Min. :-1.54000 Min. :-0.95000 Min. :-0.82999
## 1st Qu.:-0.52251 1st Qu.:-0.62001 1st Qu.:-0.42249 1st Qu.:-0.30499
## Median :-0.07500 Median :-0.15500 Median :-0.05500 Median :-0.08999
## Mean : 0.03425 Mean :-0.06725 Mean :-0.09725 Mean :-0.05299
## 3rd Qu.: 0.67000 3rd Qu.: 0.54000 3rd Qu.: 0.09500 3rd Qu.: 0.16001
## Max. : 1.70000 Max. : 1.71000 Max. : 0.73000 Max. : 1.07001
## data.2163 data.2164 data.2165 data.2166
## Min. :-1.2800 Min. :-0.95001 Min. :-1.11998 Min. :-1.3400
## 1st Qu.:-0.3638 1st Qu.:-0.36004 1st Qu.:-0.27998 1st Qu.:-0.4475
## Median :-0.0950 Median : 0.03500 Median :-0.01998 Median :-0.2175
## Mean :-0.1105 Mean : 0.01149 Mean :-0.03636 Mean :-0.1958
## 3rd Qu.: 0.2525 3rd Qu.: 0.27124 3rd Qu.: 0.18252 3rd Qu.: 0.1950
## Max. : 0.6600 Max. : 1.36999 Max. : 0.87002 Max. : 0.7000
## data.2167 data.2168 data.2169 data.2170
## Min. :-1.3200 Min. :-0.93000 Min. :-1.18998 Min. :-1.0300
## 1st Qu.:-0.3125 1st Qu.:-0.34500 1st Qu.:-0.30374 1st Qu.:-0.4050
## Median :-0.0650 Median : 0.00498 Median :-0.05498 Median :-0.1700
## Mean :-0.0720 Mean :-0.05363 Mean :-0.09973 Mean :-0.1227
## 3rd Qu.: 0.2062 3rd Qu.: 0.19000 3rd Qu.: 0.12002 3rd Qu.: 0.1500
## Max. : 0.7000 Max. : 0.63000 Max. : 0.74002 Max. : 0.8200
## data.2171 data.2172 data.2173 data.2174
## Min. :-0.50501 Min. :-0.9800 Min. :-0.62000 Min. :-1.2100
## 1st Qu.:-0.21499 1st Qu.:-0.3625 1st Qu.:-0.17000 1st Qu.:-0.2775
## Median :-0.08999 Median :-0.0150 Median :-0.08999 Median :-0.0550
## Mean :-0.06324 Mean :-0.0295 Mean :-0.04750 Mean :-0.1003
## 3rd Qu.: 0.13000 3rd Qu.: 0.2700 3rd Qu.: 0.09124 3rd Qu.: 0.0800
## Max. : 0.50501 Max. : 0.9300 Max. : 1.15996 Max. : 0.5700
## data.2175 data.2176 data.2177 data.2178
## Min. :-0.64500 Min. :-0.99498 Min. :-1.0500 Min. :-0.85500
## 1st Qu.:-0.37998 1st Qu.:-0.36248 1st Qu.:-0.2412 1st Qu.:-0.29625
## Median :-0.12997 Median :-0.08998 Median :-0.0650 Median :-0.07500
## Mean :-0.07448 Mean :-0.10848 Mean :-0.0160 Mean :-0.06825
## 3rd Qu.: 0.16501 3rd Qu.: 0.21003 3rd Qu.: 0.2125 3rd Qu.: 0.23251
## Max. : 0.80500 Max. : 1.09500 Max. : 1.2900 Max. : 0.65498
## data.2179 data.2180 data.2181 data.2182
## Min. :-0.97000 Min. :-1.3900 Min. :-1.020 Min. :-1.04000
## 1st Qu.:-0.38250 1st Qu.:-0.4350 1st Qu.:-0.325 1st Qu.:-0.48875
## Median :-0.05000 Median :-0.0225 Median : 0.000 Median :-0.24000
## Mean :-0.07025 Mean :-0.1410 Mean :-0.057 Mean :-0.21500
## 3rd Qu.: 0.20500 3rd Qu.: 0.1150 3rd Qu.: 0.170 3rd Qu.: 0.09748
## Max. : 0.92998 Max. : 0.4800 Max. : 1.140 Max. : 0.46000
## data.2183 data.2184 data.2185 data.2186
## Min. :-1.7000 Min. :-1.39000 Min. :-2.8200 Min. :-2.15000
## 1st Qu.:-0.4850 1st Qu.:-0.31250 1st Qu.:-0.5175 1st Qu.:-0.44500
## Median :-0.2150 Median :-0.04501 Median :-0.1250 Median : 0.01500
## Mean :-0.2254 Mean :-0.07975 Mean :-0.1138 Mean :-0.03375
## 3rd Qu.: 0.1175 3rd Qu.: 0.14001 3rd Qu.: 0.2150 3rd Qu.: 0.36499
## Max. : 1.2100 Max. : 0.82000 Max. : 1.5200 Max. : 1.75500
## data.2187 data.2188 data.2189 data.2190
## Min. :-1.8325 Min. :-0.84250 Min. :-0.8499902 Min. :-1.49501
## 1st Qu.:-0.5288 1st Qu.:-0.32500 1st Qu.:-0.3474902 1st Qu.:-0.51501
## Median : 0.0775 Median :-0.00500 Median : 0.0000049 Median : 0.01999
## Mean : 0.0210 Mean :-0.04675 Mean :-0.0011169 Mean :-0.01451
## 3rd Qu.: 0.4450 3rd Qu.: 0.15247 3rd Qu.: 0.2025244 3rd Qu.: 0.32999
## Max. : 2.3475 Max. : 1.22750 Max. : 1.2100100 Max. : 1.25499
## data.2191 data.2192 data.2193 data.2194
## Min. :-1.41000 Min. :-0.93502 Min. :-1.36500 Min. :-1.82000
## 1st Qu.:-0.52250 1st Qu.:-0.29252 1st Qu.:-0.32000 1st Qu.:-0.48750
## Median :-0.06502 Median :-0.03002 Median :-0.05501 Median : 0.05000
## Mean :-0.19725 Mean :-0.05352 Mean :-0.02725 Mean : 0.02325
## 3rd Qu.: 0.16500 3rd Qu.: 0.13500 3rd Qu.: 0.30750 3rd Qu.: 0.40125
## Max. : 1.01998 Max. : 0.85998 Max. : 1.95500 Max. : 1.79000
## data.2195 data.2196 data.2197 data.2198
## Min. :-1.73999 Min. :-0.97004 Min. :-1.0500 Min. :-1.1800
## 1st Qu.:-0.39877 1st Qu.:-0.32500 1st Qu.:-0.3975 1st Qu.:-0.5175
## Median :-0.01000 Median : 0.03001 Median : 0.0150 Median :-0.0450
## Mean :-0.05299 Mean : 0.03300 Mean :-0.1203 Mean :-0.1160
## 3rd Qu.: 0.25750 3rd Qu.: 0.26000 3rd Qu.: 0.1950 3rd Qu.: 0.1550
## Max. : 1.95001 Max. : 2.27000 Max. : 0.6300 Max. : 0.8900
## data.2199 data.2200 data.2201 data.2202
## Min. :-1.86000 Min. :-0.92500 Min. :-1.21000 Min. :-0.6500
## 1st Qu.:-0.38252 1st Qu.:-0.33000 1st Qu.:-0.32500 1st Qu.:-0.3375
## Median :-0.01500 Median :-0.05000 Median : 0.02000 Median :-0.0475
## Mean :-0.09475 Mean :-0.01275 Mean :-0.01825 Mean :-0.0460
## 3rd Qu.: 0.29000 3rd Qu.: 0.36250 3rd Qu.: 0.34250 3rd Qu.: 0.2225
## Max. : 1.13000 Max. : 1.34500 Max. : 1.23000 Max. : 0.7600
## data.2203 data.2204 data.2205 data.2206
## Min. :-1.07000 Min. :-1.02000 Min. :-0.995000 Min. :-1.042500
## 1st Qu.:-0.40625 1st Qu.:-0.38000 1st Qu.:-0.297500 1st Qu.:-0.265000
## Median : 0.01500 Median : 0.00499 Median : 0.002500 Median :-0.006250
## Mean : 0.07225 Mean :-0.01900 Mean : 0.008998 Mean :-0.000814
## 3rd Qu.: 0.45000 3rd Qu.: 0.22250 3rd Qu.: 0.247495 3rd Qu.: 0.335000
## Max. : 1.46000 Max. : 0.85000 Max. : 0.975000 Max. : 0.897500
## data.2207 data.2208 data.2209 data.2210
## Min. :-1.3300 Min. :-1.04999 Min. :-1.2200 Min. :-0.7100
## 1st Qu.:-0.4325 1st Qu.:-0.31502 1st Qu.:-0.2900 1st Qu.:-0.3825
## Median :-0.0100 Median : 0.06999 Median :-0.0050 Median :-0.1550
## Mean :-0.1135 Mean : 0.02249 Mean :-0.0765 Mean :-0.1058
## 3rd Qu.: 0.2025 3rd Qu.: 0.33499 3rd Qu.: 0.1600 3rd Qu.: 0.1825
## Max. : 1.0700 Max. : 1.08999 Max. : 0.9300 Max. : 0.6400
## data.2211 data.2212 data.2213 data.2214
## Min. :-1.89001 Min. :-1.5550000 Min. :-1.3000 Min. :-0.6750
## 1st Qu.:-0.39251 1st Qu.:-0.2887500 1st Qu.:-0.2825 1st Qu.:-0.4125
## Median :-0.04001 Median : 0.0249902 Median : 0.0200 Median :-0.0950
## Mean :-0.10251 Mean :-0.0002515 Mean : 0.1125 Mean :-0.0840
## 3rd Qu.: 0.31998 3rd Qu.: 0.2950000 3rd Qu.: 0.3775 3rd Qu.: 0.2025
## Max. : 0.74999 Max. : 1.0550000 Max. : 1.4100 Max. : 0.7450
## data.2215 data.2216 data.2217 data.2218
## Min. :-0.8700 Min. :-0.83000 Min. :-0.95001 Min. :-1.0000000
## 1st Qu.:-0.2125 1st Qu.:-0.31000 1st Qu.:-0.34251 1st Qu.:-0.3500049
## Median : 0.0000 Median :-0.01001 Median :-0.05501 Median :-0.0000195
## Mean :-0.0280 Mean :-0.05825 Mean :-0.03351 Mean :-0.0297515
## 3rd Qu.: 0.2087 3rd Qu.: 0.13000 3rd Qu.: 0.22374 3rd Qu.: 0.3425098
## Max. : 0.7400 Max. : 0.93002 Max. : 1.04999 Max. : 0.8200000
## data.2219 data.2220 data.2221 data.2222
## Min. :-0.88000 Min. :-1.16500 Min. :-1.48500 Min. :-1.31500
## 1st Qu.:-0.30249 1st Qu.:-0.30250 1st Qu.:-0.40750 1st Qu.:-0.33375
## Median :-0.04500 Median :-0.06501 Median : 0.02000 Median : 0.01500
## Mean :-0.04975 Mean :-0.08663 Mean :-0.03575 Mean :-0.04925
## 3rd Qu.: 0.23500 3rd Qu.: 0.19000 3rd Qu.: 0.46125 3rd Qu.: 0.39000
## Max. : 0.71000 Max. : 0.68500 Max. : 0.85500 Max. : 0.95500
## data.2223 data.2224 data.2225 data.2226
## Min. :-1.5200 Min. :-1.25000 Min. :-1.0850 Min. :-1.4200
## 1st Qu.:-0.5375 1st Qu.:-0.24250 1st Qu.:-0.4075 1st Qu.:-0.2600
## Median : 0.0000 Median :-0.00500 Median :-0.0800 Median : 0.0000
## Mean :-0.1323 Mean :-0.02413 Mean :-0.1118 Mean : 0.0165
## 3rd Qu.: 0.2000 3rd Qu.: 0.32500 3rd Qu.: 0.1225 3rd Qu.: 0.2762
## Max. : 1.1800 Max. : 1.02000 Max. : 0.7550 Max. : 1.1600
## data.2227 data.2228 data.2229 data.2230
## Min. :-1.51000 Min. :-1.290 Min. :-0.50498 Min. :-0.91500
## 1st Qu.:-0.26250 1st Qu.:-0.500 1st Qu.:-0.19250 1st Qu.:-0.22750
## Median : 0.00000 Median : 0.155 Median : 0.02500 Median :-0.02250
## Mean :-0.01713 Mean : 0.083 Mean : 0.07025 Mean : 0.07125
## 3rd Qu.: 0.29250 3rd Qu.: 0.630 3rd Qu.: 0.24750 3rd Qu.: 0.46499
## Max. : 1.11000 Max. : 1.560 Max. : 1.08500 Max. : 1.11500
## data.2231 data.2232 data.2233 data.2234
## Min. :-0.72500 Min. :-1.2100 Min. :-1.050000 Min. :-1.11000
## 1st Qu.:-0.12250 1st Qu.:-0.3362 1st Qu.:-0.382500 1st Qu.:-0.37250
## Median :-0.01500 Median : 0.0000 Median : 0.020000 Median : 0.02000
## Mean : 0.09375 Mean : 0.0230 Mean :-0.008752 Mean :-0.01925
## 3rd Qu.: 0.31249 3rd Qu.: 0.4175 3rd Qu.: 0.405000 3rd Qu.: 0.32250
## Max. : 1.15000 Max. : 1.4300 Max. : 0.869961 Max. : 1.10996
## data.2235 data.2236 data.2237 data.2238
## Min. :-0.77002 Min. :-0.925000 Min. :-0.85998 Min. :-1.20498
## 1st Qu.:-0.21878 1st Qu.:-0.245000 1st Qu.:-0.33998 1st Qu.:-0.35749
## Median : 0.08498 Median : 0.000000 Median :-0.01000 Median : 0.01499
## Mean : 0.12823 Mean :-0.002752 Mean :-0.02298 Mean : 0.01427
## 3rd Qu.: 0.43498 3rd Qu.: 0.199990 3rd Qu.: 0.34252 3rd Qu.: 0.48502
## Max. : 1.40998 Max. : 0.705020 Max. : 1.02002 Max. : 0.94500
## data.2239 data.2240 data.2241 data.2242
## Min. :-0.97000 Min. :-1.14996 Min. :-1.14501 Min. :-2.615
## 1st Qu.:-0.23750 1st Qu.:-0.46246 1st Qu.:-0.39251 1st Qu.:-0.650
## Median :-0.05250 Median : 0.02504 Median :-0.04001 Median :-0.085
## Mean :-0.03175 Mean : 0.04829 Mean :-0.08976 Mean : 0.211
## 3rd Qu.: 0.28250 3rd Qu.: 0.43504 3rd Qu.: 0.27999 3rd Qu.: 0.945
## Max. : 0.66000 Max. : 1.26002 Max. : 1.71999 Max. : 2.985
## data.2243 data.2244 data.2245 data.2246
## Min. :-2.3950 Min. :-3.8400 Min. :-1.2500 Min. :-1.00500
## 1st Qu.:-0.4375 1st Qu.:-0.6850 1st Qu.:-0.5125 1st Qu.:-0.47375
## Median :-0.0150 Median :-0.1250 Median : 0.0350 Median :-0.02000
## Mean :-0.1425 Mean :-0.2708 Mean :-0.0320 Mean :-0.05488
## 3rd Qu.: 0.3425 3rd Qu.: 0.3337 3rd Qu.: 0.3925 3rd Qu.: 0.27750
## Max. : 1.2050 Max. : 1.9200 Max. : 1.5000 Max. : 1.32500
## data.2247 data.2248 data.2249 data.2250
## Min. :-1.45998 Min. :-1.4400 Min. :-1.0500100 Min. :-0.9050
## 1st Qu.:-0.57747 1st Qu.:-0.2662 1st Qu.:-0.3750098 1st Qu.:-0.3800
## Median :-0.06998 Median : 0.0000 Median : 0.0249707 Median :-0.0150
## Mean :-0.08873 Mean : 0.0320 Mean :-0.0000113 Mean : 0.0465
## 3rd Qu.: 0.31753 3rd Qu.: 0.3475 3rd Qu.: 0.3424902 3rd Qu.: 0.3950
## Max. : 1.40002 Max. : 1.1800 Max. : 0.9699902 Max. : 1.3000
## data.2251 data.2252 data.2253 data.2254
## Min. :-0.9500 Min. :-1.815 Min. :-1.130 Min. :-1.6050
## 1st Qu.:-0.3625 1st Qu.:-0.465 1st Qu.:-0.470 1st Qu.:-0.3300
## Median :-0.0050 Median :-0.025 Median :-0.005 Median :-0.0100
## Mean : 0.1052 Mean :-0.138 Mean :-0.052 Mean :-0.0485
## 3rd Qu.: 0.6238 3rd Qu.: 0.340 3rd Qu.: 0.335 3rd Qu.: 0.3200
## Max. : 1.3400 Max. : 1.035 Max. : 1.045 Max. : 0.9250
## data.2255 data.2256 data.2257 data.2258
## Min. :-0.68000 Min. :-1.3000 Min. :-1.79500 Min. :-0.90000
## 1st Qu.:-0.31000 1st Qu.:-0.6225 1st Qu.:-0.32750 1st Qu.:-0.30500
## Median :-0.05000 Median :-0.0700 Median :-0.03501 Median :-0.07000
## Mean :-0.04475 Mean :-0.0935 Mean : 0.09075 Mean :-0.06213
## 3rd Qu.: 0.23250 3rd Qu.: 0.4850 3rd Qu.: 0.28750 3rd Qu.: 0.14500
## Max. : 1.07000 Max. : 1.3400 Max. : 2.16500 Max. : 0.98000
## data.2259 data.2260 data.2261 data.2262
## Min. :-1.1700 Min. :-0.83498 Min. :-0.86000 Min. :-0.900000
## 1st Qu.:-0.4050 1st Qu.:-0.36248 1st Qu.:-0.30000 1st Qu.:-0.247485
## Median :-0.1350 Median :-0.06498 Median :-0.01002 Median :-0.005019
## Mean :-0.0880 Mean :-0.05048 Mean :-0.04050 Mean :-0.070501
## 3rd Qu.: 0.1412 3rd Qu.: 0.20501 3rd Qu.: 0.24499 3rd Qu.: 0.160000
## Max. : 1.0900 Max. : 1.67502 Max. : 0.65000 Max. : 0.569981
## data.2263 data.2264 data.2265 data.2266
## Min. :-0.79000 Min. :-0.75996 Min. :-1.5950 Min. :-2.21500
## 1st Qu.:-0.23000 1st Qu.:-0.24996 1st Qu.:-0.3975 1st Qu.:-0.18750
## Median : 0.01999 Median : 0.02003 Median :-0.0850 Median :-0.03000
## Mean : 0.01425 Mean :-0.01671 Mean :-0.1613 Mean :-0.08688
## 3rd Qu.: 0.31000 3rd Qu.: 0.24004 3rd Qu.: 0.1000 3rd Qu.: 0.12497
## Max. : 0.81000 Max. : 0.89002 Max. : 0.8650 Max. : 0.77500
## data.2267 data.2268 data.2269 data.2270
## Min. :-0.93501 Min. :-0.96000 Min. :-1.2450 Min. :-1.5099800
## 1st Qu.:-0.20126 1st Qu.:-0.24250 1st Qu.:-0.3325 1st Qu.:-0.3749756
## Median :-0.03001 Median :-0.05000 Median :-0.0200 Median : 0.0000098
## Mean :-0.05126 Mean :-0.01088 Mean :-0.1043 Mean :-0.0934819
## 3rd Qu.: 0.15749 3rd Qu.: 0.28250 3rd Qu.: 0.1650 3rd Qu.: 0.2675195
## Max. : 0.56499 Max. : 0.77000 Max. : 1.0050 Max. : 0.9200195
## data.2271 data.2272 data.2273 data.2274
## Min. :-0.6400 Min. :-1.53250 Min. :-1.10000 Min. :-1.40998
## 1st Qu.:-0.2562 1st Qu.:-0.30375 1st Qu.:-0.21999 1st Qu.:-0.29998
## Median :-0.0175 Median : 0.04250 Median : 0.02500 Median : 0.00500
## Mean :-0.0390 Mean :-0.02275 Mean : 0.04125 Mean :-0.05048
## 3rd Qu.: 0.1375 3rd Qu.: 0.23500 3rd Qu.: 0.29750 3rd Qu.: 0.19252
## Max. : 0.5900 Max. : 1.01750 Max. : 1.05000 Max. : 1.05002
## data.2275 data.2276 data.2277 data.2278
## Min. :-0.89750 Min. :-1.5250 Min. :-1.06498 Min. :-1.14998
## 1st Qu.:-0.28750 1st Qu.:-0.3600 1st Qu.:-0.21248 1st Qu.:-0.28749
## Median : 0.01749 Median : 0.0100 Median : 0.06500 Median : 0.06502
## Mean : 0.02475 Mean :-0.0565 Mean : 0.02102 Mean :-0.05423
## 3rd Qu.: 0.31747 3rd Qu.: 0.2313 3rd Qu.: 0.27752 3rd Qu.: 0.27252
## Max. : 0.81250 Max. : 0.8550 Max. : 0.88502 Max. : 0.74002
## data.2279 data.2280 data.2281 data.2282
## Min. :-0.91000 Min. :-1.4050 Min. :-1.0700 Min. :-1.1900
## 1st Qu.:-0.36999 1st Qu.:-0.4025 1st Qu.:-0.3113 1st Qu.:-0.2525
## Median :-0.05250 Median : 0.0100 Median : 0.0000 Median : 0.1100
## Mean :-0.08975 Mean :-0.0725 Mean :-0.0775 Mean : 0.0380
## 3rd Qu.: 0.19499 3rd Qu.: 0.3425 3rd Qu.: 0.2250 3rd Qu.: 0.3975
## Max. : 0.68000 Max. : 0.8500 Max. : 0.8600 Max. : 0.9150
## data.2283 data.2284 data.2285 data.2286
## Min. :-1.3050 Min. :-2.01000 Min. :-1.37501 Min. :-0.6400
## 1st Qu.:-0.3175 1st Qu.:-0.71000 1st Qu.:-0.36001 1st Qu.:-0.2075
## Median : 0.0250 Median : 0.01500 Median :-0.04001 Median :-0.0350
## Mean :-0.0385 Mean :-0.07875 Mean :-0.07401 Mean : 0.0525
## 3rd Qu.: 0.2525 3rd Qu.: 0.47750 3rd Qu.: 0.19247 3rd Qu.: 0.3250
## Max. : 0.6900 Max. : 1.07000 Max. : 0.76499 Max. : 0.8200
## data.2287 data.2288 data.2289 data.2290
## Min. :-1.3250 Min. :-0.645000 Min. :-0.9100 Min. :-1.35502
## 1st Qu.:-0.6100 1st Qu.:-0.252500 1st Qu.:-0.3725 1st Qu.:-0.36000
## Median :-0.1350 Median :-0.002500 Median : 0.0000 Median :-0.02500
## Mean :-0.1778 Mean :-0.001876 Mean : 0.0140 Mean :-0.06325
## 3rd Qu.: 0.3650 3rd Qu.: 0.235000 3rd Qu.: 0.3150 3rd Qu.: 0.29499
## Max. : 1.0650 Max. : 0.645000 Max. : 1.0400 Max. : 0.94000
## data.2291 data.2292 data.2293 data.2294
## Min. :-1.1600 Min. :-1.15000 Min. :-2.8300 Min. :-1.93500
## 1st Qu.:-0.3962 1st Qu.:-0.36750 1st Qu.:-0.4725 1st Qu.:-0.40250
## Median :-0.0300 Median :-0.02501 Median :-0.0900 Median : 0.03500
## Mean :-0.0480 Mean :-0.09975 Mean :-0.1535 Mean :-0.05925
## 3rd Qu.: 0.3650 3rd Qu.: 0.20750 3rd Qu.: 0.2700 3rd Qu.: 0.33250
## Max. : 1.0700 Max. : 0.80000 Max. : 1.0700 Max. : 1.20998
## data.2295 data.2296 data.2297 data.2298
## Min. :-0.8725 Min. :-0.9900 Min. :-1.0450 Min. :-1.110000
## 1st Qu.:-0.5725 1st Qu.:-0.4700 1st Qu.:-0.3275 1st Qu.:-0.320000
## Median :-0.1075 Median :-0.2750 Median :-0.0100 Median :-0.080019
## Mean :-0.1063 Mean :-0.1513 Mean :-0.0765 Mean : 0.002249
## 3rd Qu.: 0.2475 3rd Qu.: 0.1950 3rd Qu.: 0.1975 3rd Qu.: 0.433750
## Max. : 1.1375 Max. : 1.4100 Max. : 0.9200 Max. : 1.340020
## data.2299 data.2300 data.2301 data.2302
## Min. :-0.98500 Min. :-0.830000 Min. :-0.9000 Min. :-1.07501
## 1st Qu.:-0.37750 1st Qu.:-0.147500 1st Qu.:-0.3125 1st Qu.:-0.34751
## Median :-0.01000 Median : 0.000000 Median :-0.0150 Median :-0.01501
## Mean :-0.05988 Mean : 0.009999 Mean :-0.0465 Mean :-0.11151
## 3rd Qu.: 0.21500 3rd Qu.: 0.184995 3rd Qu.: 0.1525 3rd Qu.: 0.11749
## Max. : 1.16500 Max. : 0.740000 Max. : 0.8100 Max. : 0.97001
## data.2303 data.2304 data.2305 data.2306
## Min. :-1.14500 Min. :-1.1750 Min. :-1.4850 Min. :-1.08002
## 1st Qu.:-0.50000 1st Qu.:-0.4575 1st Qu.:-0.4500 1st Qu.:-0.35750
## Median :-0.07499 Median :-0.1600 Median :-0.1400 Median :-0.04500
## Mean :-0.11475 Mean :-0.1262 Mean :-0.1584 Mean :-0.06688
## 3rd Qu.: 0.24748 3rd Qu.: 0.2200 3rd Qu.: 0.1775 3rd Qu.: 0.14750
## Max. : 0.96500 Max. : 0.9650 Max. : 1.2150 Max. : 1.15002
## data.2307 data.2308 data.2309 data.2310
## Min. :-1.03000 Min. :-1.48000 Min. :-1.13000 Min. :-1.28500
## 1st Qu.:-0.23751 1st Qu.:-0.20625 1st Qu.:-0.27000 1st Qu.:-0.35250
## Median :-0.09002 Median :-0.02000 Median :-0.04501 Median :-0.02500
## Mean :-0.10475 Mean :-0.04825 Mean :-0.02050 Mean :-0.06338
## 3rd Qu.: 0.15125 3rd Qu.: 0.15500 3rd Qu.: 0.31750 3rd Qu.: 0.24251
## Max. : 0.60000 Max. : 0.88000 Max. : 0.57000 Max. : 0.89500
## data.2311 data.2312 data.2313 data.2314
## Min. :-1.1200 Min. :-0.53000 Min. :-0.90 Min. :-1.30000
## 1st Qu.:-0.3350 1st Qu.:-0.17000 1st Qu.:-0.19 1st Qu.:-0.51750
## Median :-0.0350 Median :-0.01000 Median :-0.01 Median : 0.00000
## Mean :-0.1435 Mean : 0.03312 Mean :-0.03 Mean :-0.04875
## 3rd Qu.: 0.1187 3rd Qu.: 0.11999 3rd Qu.: 0.22 3rd Qu.: 0.38499
## Max. : 0.4600 Max. : 1.30000 Max. : 0.64 Max. : 1.14002
## data.2315 data.2316 data.2317 data.2318
## Min. :-1.6000 Min. :-1.8350 Min. :-4.3000 Min. :-4.3200
## 1st Qu.:-0.4125 1st Qu.:-0.4400 1st Qu.:-0.5300 1st Qu.:-0.7375
## Median : 0.0750 Median :-0.0025 Median :-0.0775 Median :-0.0600
## Mean :-0.0730 Mean :-0.0730 Mean :-0.3216 Mean :-0.2963
## 3rd Qu.: 0.3525 3rd Qu.: 0.4175 3rd Qu.: 0.4825 3rd Qu.: 0.5025
## Max. : 0.8400 Max. : 1.1950 Max. : 1.6600 Max. : 1.8450
## data.2319 data.2320 data.2321 data.2322
## Min. :-4.60001 Min. :-3.7150 Min. :-1.16001 Min. :-1.88500
## 1st Qu.:-0.59999 1st Qu.:-1.3500 1st Qu.:-0.45751 1st Qu.:-0.46500
## Median :-0.01499 Median :-0.2350 Median :-0.15501 Median :-0.03000
## Mean :-0.19024 Mean :-0.7219 Mean :-0.08901 Mean :-0.09025
## 3rd Qu.: 0.64751 3rd Qu.: 0.2925 3rd Qu.: 0.33499 3rd Qu.: 0.27000
## Max. : 2.03001 Max. : 1.4450 Max. : 0.95001 Max. : 1.31002
## data.2323 data.2324 data.2325 data.2326
## Min. :-1.8650 Min. :-1.0550 Min. :-1.070000 Min. :-0.80501
## 1st Qu.:-0.6425 1st Qu.:-0.4450 1st Qu.:-0.252500 1st Qu.:-0.33751
## Median :-0.1100 Median :-0.0250 Median :-0.049990 Median :-0.09001
## Mean :-0.1775 Mean :-0.0975 Mean : 0.005498 Mean :-0.12001
## 3rd Qu.: 0.2300 3rd Qu.: 0.1725 3rd Qu.: 0.370005 3rd Qu.: 0.13749
## Max. : 0.8800 Max. : 0.6950 Max. : 0.920000 Max. : 0.82499
## data.2327 data.2328 data.2329 data.2330
## Min. :-1.42500 Min. :-1.525000 Min. :-0.72500 Min. :-1.9350
## 1st Qu.:-0.30500 1st Qu.:-0.317500 1st Qu.:-0.21750 1st Qu.:-0.3625
## Median :-0.03500 Median : 0.000000 Median :-0.01250 Median : 0.1600
## Mean :-0.07125 Mean :-0.006252 Mean :-0.07613 Mean :-0.0235
## 3rd Qu.: 0.16000 3rd Qu.: 0.377500 3rd Qu.: 0.10249 3rd Qu.: 0.4075
## Max. : 0.99502 Max. : 1.395020 Max. : 0.55500 Max. : 0.9350
## data.2331 data.2332 data.2333 data.2334
## Min. :-0.88000 Min. :-1.2500 Min. :-1.3900 Min. :-1.3650
## 1st Qu.:-0.23503 1st Qu.:-0.6800 1st Qu.:-0.6025 1st Qu.:-0.5475
## Median :-0.04501 Median :-0.0275 Median :-0.2400 Median :-0.2550
## Mean :-0.05575 Mean :-0.0780 Mean :-0.2860 Mean :-0.2466
## 3rd Qu.: 0.11500 3rd Qu.: 0.4100 3rd Qu.: 0.0250 3rd Qu.: 0.1100
## Max. : 0.75000 Max. : 2.1200 Max. : 0.3800 Max. : 0.5650
## data.2335 data.2336 data.2337 data.2338
## Min. :-0.78000 Min. :-1.4350 Min. :-1.41000 Min. :-0.86502
## 1st Qu.:-0.22250 1st Qu.:-0.6750 1st Qu.:-0.70126 1st Qu.:-0.36252
## Median :-0.05001 Median :-0.2000 Median :-0.25500 Median :-0.05503
## Mean :-0.03725 Mean :-0.1013 Mean :-0.03013 Mean :-0.08352
## 3rd Qu.: 0.10750 3rd Qu.: 0.4650 3rd Qu.: 0.66000 3rd Qu.: 0.08998
## Max. : 0.65000 Max. : 1.4350 Max. : 1.80000 Max. : 1.01998
## data.2339 data.2340 data.2341 data.2342
## Min. :-0.7650 Min. :-1.21002 Min. :-1.04000 Min. :-1.1500
## 1st Qu.:-0.4550 1st Qu.:-0.40752 1st Qu.:-0.29750 1st Qu.:-0.4000
## Median :-0.1550 Median :-0.03002 Median :-0.07750 Median :-0.0350
## Mean :-0.0895 Mean :-0.13052 Mean :-0.05813 Mean :-0.0555
## 3rd Qu.: 0.2988 3rd Qu.: 0.07250 3rd Qu.: 0.19251 3rd Qu.: 0.2500
## Max. : 1.0050 Max. : 0.69998 Max. : 0.78002 Max. : 1.3400
## data.2343 data.2344 data.2345 data.2346
## Min. :-3.8000 Min. :-2.6050 Min. :-1.09002 Min. :-1.4200
## 1st Qu.:-0.9800 1st Qu.:-0.3013 1st Qu.:-0.43502 1st Qu.:-0.3875
## Median :-0.1400 Median :-0.0025 Median :-0.09502 Median :-0.1000
## Mean :-0.3320 Mean :-0.1089 Mean :-0.02127 Mean :-0.1295
## 3rd Qu.: 0.1825 3rd Qu.: 0.2650 3rd Qu.: 0.48247 3rd Qu.: 0.2550
## Max. : 1.8600 Max. : 0.5550 Max. : 1.11998 Max. : 0.9000
## data.2347 data.2348 data.2349 data.2350
## Min. :-1.03999 Min. :-0.83500 Min. :-1.010000 Min. :-1.16501
## 1st Qu.:-0.28999 1st Qu.:-0.34001 1st Qu.:-0.175000 1st Qu.:-0.18251
## Median :-0.04500 Median : 0.00000 Median : 0.005000 Median : 0.00000
## Mean :-0.08799 Mean : 0.01725 Mean :-0.005377 Mean :-0.05676
## 3rd Qu.: 0.29001 3rd Qu.: 0.28997 3rd Qu.: 0.229971 3rd Qu.: 0.18249
## Max. : 0.64001 Max. : 1.01000 Max. : 0.680000 Max. : 0.59499
## data.2351 data.2352 data.2353 data.2354
## Min. :-0.7000 Min. :-0.6950 Min. :-0.870 Min. :-0.6100
## 1st Qu.:-0.2225 1st Qu.:-0.3050 1st Qu.:-0.260 1st Qu.:-0.0975
## Median :-0.0200 Median :-0.0850 Median :-0.135 Median : 0.0250
## Mean : 0.0110 Mean :-0.0285 Mean :-0.070 Mean : 0.0435
## 3rd Qu.: 0.1850 3rd Qu.: 0.2462 3rd Qu.: 0.130 3rd Qu.: 0.2313
## Max. : 0.7300 Max. : 0.9550 Max. : 0.590 Max. : 0.6000
## data.2355 data.2356 data.2357 data.2358
## Min. :-1.15000 Min. :-1.7900 Min. :-1.630 Min. :-1.5400
## 1st Qu.:-0.23000 1st Qu.:-0.6900 1st Qu.:-0.630 1st Qu.:-0.6937
## Median :-0.04499 Median :-0.1950 Median :-0.135 Median :-0.1000
## Mean : 0.01375 Mean :-0.1418 Mean :-0.143 Mean :-0.1363
## 3rd Qu.: 0.33000 3rd Qu.: 0.4100 3rd Qu.: 0.350 3rd Qu.: 0.3837
## Max. : 1.03002 Max. : 1.6300 Max. : 1.510 Max. : 1.6200
## data.2359 data.2360 data.2361 data.2362
## Min. :-1.20000 Min. :-1.71500 Min. :-1.310000 Min. :-0.78002
## 1st Qu.:-0.28750 1st Qu.:-0.31500 1st Qu.:-0.342500 1st Qu.:-0.33503
## Median :-0.02750 Median : 0.00500 Median : 0.000000 Median :-0.02001
## Mean :-0.06975 Mean : 0.02175 Mean : 0.004248 Mean :-0.01127
## 3rd Qu.: 0.18250 3rd Qu.: 0.28999 3rd Qu.: 0.247500 3rd Qu.: 0.28748
## Max. : 0.78002 Max. : 1.42500 Max. : 1.159980 Max. : 1.34998
## data.2363 data.2364 data.2365 data.2366
## Min. :-1.15000 Min. :-1.29500 Min. :-1.4750 Min. :-0.77500
## 1st Qu.:-0.12250 1st Qu.:-0.18500 1st Qu.:-0.2475 1st Qu.:-0.25999
## Median : 0.02001 Median : 0.02500 Median : 0.0000 Median :-0.05001
## Mean : 0.07375 Mean : 0.05175 Mean :-0.0495 Mean :-0.03350
## 3rd Qu.: 0.27500 3rd Qu.: 0.31500 3rd Qu.: 0.1925 3rd Qu.: 0.11500
## Max. : 1.02000 Max. : 0.95500 Max. : 0.9150 Max. : 1.21000
## data.2367 data.2368 data.2369 data.2370
## Min. :-1.8800 Min. :-1.9600 Min. :-1.3050 Min. :-1.2100
## 1st Qu.:-0.7500 1st Qu.:-0.8950 1st Qu.:-0.2275 1st Qu.:-0.3425
## Median :-0.1500 Median :-0.2525 Median :-0.0500 Median :-0.1200
## Mean :-0.2155 Mean :-0.2718 Mean :-0.0470 Mean :-0.1040
## 3rd Qu.: 0.3275 3rd Qu.: 0.3525 3rd Qu.: 0.2375 3rd Qu.: 0.1825
## Max. : 1.4500 Max. : 1.6900 Max. : 0.5450 Max. : 0.8800
## data.2371 data.2372 data.2373 data.2374
## Min. :-0.98000 Min. :-1.08998 Min. :-0.84998 Min. :-0.76000
## 1st Qu.:-0.19250 1st Qu.:-0.44501 1st Qu.:-0.23998 1st Qu.:-0.23749
## Median : 0.01500 Median : 0.05000 Median :-0.03498 Median :-0.00500
## Mean : 0.06125 Mean :-0.01175 Mean :-0.04723 Mean :-0.02575
## 3rd Qu.: 0.26250 3rd Qu.: 0.41500 3rd Qu.: 0.16750 3rd Qu.: 0.16750
## Max. : 1.65002 Max. : 1.04000 Max. : 0.75002 Max. : 0.64000
## data.2375 data.2376 data.2377 data.2378
## Min. :-1.4150 Min. :-1.24000 Min. :-1.11000 Min. :-1.24500
## 1st Qu.:-0.2200 1st Qu.:-0.47250 1st Qu.:-0.30999 1st Qu.:-0.35251
## Median :-0.0025 Median : 0.02500 Median :-0.01250 Median :-0.12000
## Mean :-0.0180 Mean :-0.06775 Mean :-0.02275 Mean : 0.04587
## 3rd Qu.: 0.3075 3rd Qu.: 0.28376 3rd Qu.: 0.26500 3rd Qu.: 0.37250
## Max. : 0.6850 Max. : 1.33000 Max. : 0.77500 Max. : 1.55500
## data.2379 data.2380 data.2381 data.2382
## Min. :-1.3700 Min. :-1.26501 Min. :-2.04497 Min. :-0.78000
## 1st Qu.:-0.4462 1st Qu.:-0.33001 1st Qu.:-0.63999 1st Qu.:-0.18250
## Median :-0.0800 Median : 0.11499 Median : 0.06502 Median :-0.03999
## Mean :-0.0915 Mean : 0.02124 Mean : 0.01526 Mean :-0.01900
## 3rd Qu.: 0.1875 3rd Qu.: 0.38999 3rd Qu.: 0.72751 3rd Qu.: 0.19000
## Max. : 1.2900 Max. : 0.95499 Max. : 1.53501 Max. : 1.00000
## data.2383 data.2384 data.2385 data.2386
## Min. :-0.7800 Min. :-0.950000 Min. :-0.9650098 Min. :-1.525000
## 1st Qu.:-0.2825 1st Qu.:-0.340000 1st Qu.:-0.2950098 1st Qu.:-0.215000
## Median :-0.0150 Median : 0.005000 Median :-0.0000195 Median : 0.010010
## Mean :-0.0390 Mean :-0.004751 Mean :-0.0197612 Mean : 0.006498
## 3rd Qu.: 0.2025 3rd Qu.: 0.312490 3rd Qu.: 0.2224804 3rd Qu.: 0.292500
## Max. : 0.8100 Max. : 0.670000 Max. : 1.0449710 Max. : 1.455000
## data.2387 data.2388 data.2389 data.2390
## Min. :-1.2950 Min. :-1.10000 Min. :-0.81000 Min. :-1.2000
## 1st Qu.:-0.2838 1st Qu.:-0.29375 1st Qu.:-0.33250 1st Qu.:-0.4350
## Median : 0.0600 Median :-0.01500 Median :-0.13000 Median :-0.1450
## Mean : 0.1137 Mean : 0.01025 Mean :-0.08613 Mean :-0.0960
## 3rd Qu.: 0.5200 3rd Qu.: 0.30000 3rd Qu.: 0.10750 3rd Qu.: 0.2525
## Max. : 1.4050 Max. : 0.81000 Max. : 0.93000 Max. : 1.1900
## data.2391 data.2392 data.2393 data.2394
## Min. :-0.87000 Min. :-0.8000 Min. :-1.535000 Min. :-0.95499
## 1st Qu.:-0.31874 1st Qu.:-0.3375 1st Qu.:-0.294990 1st Qu.:-0.32250
## Median :-0.07001 Median :-0.0175 Median :-0.009971 Median :-0.01499
## Mean :-0.02575 Mean :-0.0485 Mean : 0.015768 Mean :-0.01799
## 3rd Qu.: 0.22500 3rd Qu.: 0.2263 3rd Qu.: 0.422519 3rd Qu.: 0.29751
## Max. : 1.28000 Max. : 0.7700 Max. : 1.255019 Max. : 0.96501
## data.2395 data.2396 data.2397 data.2398
## Min. :-1.257500 Min. :-0.66000 Min. :-0.83000 Min. :-0.600020
## 1st Qu.:-0.255005 1st Qu.:-0.22250 1st Qu.:-0.20750 1st Qu.:-0.232500
## Median :-0.030000 Median : 0.03000 Median :-0.06000 Median :-0.015000
## Mean :-0.009751 Mean : 0.05425 Mean :-0.03625 Mean :-0.003877
## 3rd Qu.: 0.352500 3rd Qu.: 0.25000 3rd Qu.: 0.20499 3rd Qu.: 0.174971
## Max. : 0.702500 Max. : 1.02000 Max. : 1.21000 Max. : 1.170000
## data.2399 data.2400 data.2401 data.2402
## Min. :-0.70000 Min. :-0.67000 Min. :-1.2200 Min. :-1.01000
## 1st Qu.:-0.32749 1st Qu.:-0.22250 1st Qu.:-0.4550 1st Qu.:-0.21250
## Median :-0.11500 Median : 0.00000 Median :-0.0750 Median :-0.00500
## Mean :-0.07475 Mean : 0.05325 Mean :-0.1213 Mean :-0.02125
## 3rd Qu.: 0.16247 3rd Qu.: 0.27250 3rd Qu.: 0.2425 3rd Qu.: 0.24499
## Max. : 1.25000 Max. : 1.21000 Max. : 0.8300 Max. : 1.08000
## data.2403 data.2404 data.2405 data.2406
## Min. :-1.71000 Min. :-1.12000 Min. :-0.73500 Min. :-1.6700
## 1st Qu.:-0.36250 1st Qu.:-0.46250 1st Qu.:-0.38001 1st Qu.:-0.2975
## Median :-0.00500 Median : 0.01001 Median :-0.06499 Median :-0.0550
## Mean :-0.08125 Mean :-0.03075 Mean :-0.03725 Mean :-0.0220
## 3rd Qu.: 0.31750 3rd Qu.: 0.39750 3rd Qu.: 0.26750 3rd Qu.: 0.3975
## Max. : 0.74000 Max. : 1.14000 Max. : 0.84000 Max. : 1.0350
## data.2407 data.2408 data.2409 data.2410
## Min. :-1.20499 Min. :-1.16000 Min. :-0.9350 Min. :-0.7450
## 1st Qu.:-0.27250 1st Qu.:-0.30250 1st Qu.:-0.4313 1st Qu.:-0.2125
## Median : 0.00000 Median :-0.11500 Median :-0.1100 Median : 0.0650
## Mean : 0.08626 Mean :-0.09975 Mean :-0.1093 Mean : 0.0150
## 3rd Qu.: 0.29001 3rd Qu.: 0.12250 3rd Qu.: 0.1775 3rd Qu.: 0.2275
## Max. : 1.21001 Max. : 1.12000 Max. : 0.7300 Max. : 0.8500
## data.2411 data.2412 data.2413 data.2414
## Min. :-0.85000 Min. :-0.77002 Min. :-0.8350 Min. :-0.905010
## 1st Qu.:-0.28000 1st Qu.:-0.34000 1st Qu.:-0.4400 1st Qu.:-0.270010
## Median :-0.01001 Median : 0.00000 Median :-0.0750 Median :-0.007505
## Mean :-0.05400 Mean :-0.01275 Mean :-0.0125 Mean :-0.022885
## 3rd Qu.: 0.25250 3rd Qu.: 0.32750 3rd Qu.: 0.3800 3rd Qu.: 0.211240
## Max. : 0.46000 Max. : 1.20000 Max. : 1.4150 Max. : 0.864990
## data.2415 data.2416 data.2417 data.2418
## Min. :-0.7600 Min. :-1.48000 Min. :-0.97500 Min. :-0.92500
## 1st Qu.:-0.2875 1st Qu.:-0.35000 1st Qu.:-0.30750 1st Qu.:-0.30750
## Median :-0.0500 Median :-0.07002 Median :-0.07502 Median :-0.08000
## Mean :-0.0655 Mean :-0.09050 Mean :-0.02325 Mean :-0.07575
## 3rd Qu.: 0.1400 3rd Qu.: 0.27250 3rd Qu.: 0.31000 3rd Qu.: 0.10747
## Max. : 0.8450 Max. : 1.13000 Max. : 0.97500 Max. : 0.68498
## data.2419 data.2420 data.2421 data.2422
## Min. :-0.36500 Min. :-0.50500 Min. :-0.93001 Min. :-1.3175
## 1st Qu.:-0.07750 1st Qu.:-0.24000 1st Qu.:-0.25750 1st Qu.:-0.3750
## Median : 0.00000 Median :-0.00500 Median :-0.03001 Median : 0.0000
## Mean : 0.05312 Mean : 0.05175 Mean : 0.04674 Mean :-0.0485
## 3rd Qu.: 0.21500 3rd Qu.: 0.30000 3rd Qu.: 0.37499 3rd Qu.: 0.3550
## Max. : 0.56500 Max. : 0.86000 Max. : 1.30499 Max. : 1.1025
## data.2423 data.2424 data.2425 data.2426
## Min. :-1.28500 Min. :-2.0900 Min. :-1.06000 Min. :-2.250020
## 1st Qu.:-0.37750 1st Qu.:-0.3025 1st Qu.:-0.28000 1st Qu.:-0.447520
## Median : 0.00000 Median :-0.0350 Median : 0.02500 Median : 0.189980
## Mean :-0.01963 Mean :-0.0600 Mean : 0.02737 Mean : 0.007479
## 3rd Qu.: 0.37251 3rd Qu.: 0.3175 3rd Qu.: 0.29250 3rd Qu.: 0.714951
## Max. : 1.25000 Max. : 1.0400 Max. : 1.29000 Max. : 1.749980
## data.2427 data.2428 data.2429 data.2430
## Min. :-0.8900000 Min. :-1.3050 Min. :-0.8150 Min. :-0.83002
## 1st Qu.:-0.2025000 1st Qu.:-0.1500 1st Qu.:-0.3250 1st Qu.:-0.32752
## Median : 0.0000098 Median : 0.0000 Median : 0.1500 Median : 0.00499
## Mean : 0.0254985 Mean : 0.1377 Mean : 0.1050 Mean : 0.03198
## 3rd Qu.: 0.2749707 3rd Qu.: 0.2975 3rd Qu.: 0.4375 3rd Qu.: 0.28496
## Max. : 1.1600000 Max. : 1.3050 Max. : 1.4050 Max. : 1.71998
## data.2431 data.2432 data.2433 data.2434
## Min. :-1.00499 Min. :-1.3750 Min. :-1.5500 Min. :-0.86000
## 1st Qu.:-0.23999 1st Qu.:-0.2950 1st Qu.:-0.5900 1st Qu.:-0.35500
## Median :-0.02000 Median :-0.0400 Median : 0.0000 Median :-0.05000
## Mean : 0.05501 Mean :-0.1058 Mean :-0.1210 Mean :-0.02413
## 3rd Qu.: 0.25501 3rd Qu.: 0.1775 3rd Qu.: 0.2475 3rd Qu.: 0.30000
## Max. : 1.53001 Max. : 0.9550 Max. : 1.7700 Max. : 1.36000
## data.2435 data.2436 data.2437 data.2438
## Min. :-0.82996 Min. :-0.660019 Min. :-0.8200 Min. :-1.1650000
## 1st Qu.:-0.47496 1st Qu.:-0.252520 1st Qu.:-0.2500 1st Qu.:-0.2600000
## Median :-0.08246 Median :-0.010029 Median : 0.0000 Median :-0.0025000
## Mean :-0.08934 Mean :-0.008395 Mean : 0.0550 Mean :-0.0002515
## 3rd Qu.: 0.09004 3rd Qu.: 0.202481 3rd Qu.: 0.2725 3rd Qu.: 0.2699951
## Max. : 1.43004 Max. : 0.729981 Max. : 1.2700 Max. : 1.1049800
## data.2439 data.2440 data.2441 data.2442
## Min. :-1.12500 Min. :-0.82000 Min. :-1.27500 Min. :-1.0350
## 1st Qu.:-0.46250 1st Qu.:-0.29250 1st Qu.:-0.39501 1st Qu.:-0.3400
## Median :-0.02002 Median :-0.01000 Median :-0.05499 Median :-0.1300
## Mean :-0.03650 Mean :-0.09675 Mean :-0.08425 Mean :-0.1059
## 3rd Qu.: 0.24250 3rd Qu.: 0.11000 3rd Qu.: 0.26500 3rd Qu.: 0.1825
## Max. : 0.93000 Max. : 0.72998 Max. : 0.91500 Max. : 0.6950
## data.2443 data.2444 data.2445 data.2446
## Min. :-1.1100000 Min. :-1.3500 Min. :-1.4400 Min. :-1.72000
## 1st Qu.:-0.3225049 1st Qu.:-0.2225 1st Qu.:-0.5050 1st Qu.:-0.33250
## Median :-0.0200000 Median :-0.0150 Median :-0.0725 Median :-0.01500
## Mean : 0.0004985 Mean : 0.0230 Mean :-0.1213 Mean :-0.01875
## 3rd Qu.: 0.3425000 3rd Qu.: 0.3700 3rd Qu.: 0.2200 3rd Qu.: 0.32250
## Max. : 1.0700000 Max. : 1.0100 Max. : 1.2200 Max. : 1.40998
## data.2447 data.2448 data.2449 data.2450
## Min. :-0.93500 Min. :-1.000000 Min. :-1.01002 Min. :-0.9200
## 1st Qu.:-0.48000 1st Qu.:-0.437515 1st Qu.:-0.33752 1st Qu.:-0.3675
## Median :-0.01999 Median :-0.025000 Median :-0.02502 Median :-0.0600
## Mean :-0.03175 Mean :-0.003252 Mean : 0.01223 Mean :-0.0840
## 3rd Qu.: 0.26250 3rd Qu.: 0.367495 3rd Qu.: 0.32997 3rd Qu.: 0.1575
## Max. : 1.21000 Max. : 1.470000 Max. : 1.44998 Max. : 0.8100
## data.2451 data.2452 data.2453 data.2454
## Min. :-1.1850 Min. :-1.29000 Min. :-1.0850 Min. :-0.9800
## 1st Qu.:-0.3362 1st Qu.:-0.31750 1st Qu.:-0.3588 1st Qu.:-0.2550
## Median :-0.0750 Median :-0.08000 Median :-0.0350 Median :-0.0350
## Mean :-0.0790 Mean :-0.05875 Mean :-0.1143 Mean :-0.0655
## 3rd Qu.: 0.2100 3rd Qu.: 0.23749 3rd Qu.: 0.0850 3rd Qu.: 0.1175
## Max. : 1.2250 Max. : 0.97996 Max. : 0.7350 Max. : 0.7900
## data.2455 data.2456 data.2457 data.2458
## Min. :-0.90001 Min. :-0.86500 Min. :-0.7600000 Min. :-0.54500
## 1st Qu.:-0.28626 1st Qu.:-0.20750 1st Qu.:-0.3424854 1st Qu.:-0.25249
## Median :-0.03503 Median :-0.08000 Median :-0.0000098 Median :-0.04500
## Mean :-0.03701 Mean : 0.01325 Mean :-0.0177515 Mean :-0.04263
## 3rd Qu.: 0.17498 3rd Qu.: 0.23250 3rd Qu.: 0.2549854 3rd Qu.: 0.12000
## Max. : 1.23499 Max. : 1.13000 Max. : 0.8200000 Max. : 0.64996
## data.2459 data.2460 data.2461 data.2462
## Min. :-0.66998 Min. :-0.9550 Min. :-0.665000 Min. :-0.93500
## 1st Qu.:-0.39000 1st Qu.:-0.3925 1st Qu.:-0.287505 1st Qu.:-0.28500
## Median :-0.11000 Median :-0.0050 Median :-0.007500 Median :-0.06000
## Mean :-0.02925 Mean :-0.0735 Mean :-0.001126 Mean :-0.05225
## 3rd Qu.: 0.21250 3rd Qu.: 0.1850 3rd Qu.: 0.145000 3rd Qu.: 0.22747
## Max. : 1.17000 Max. : 1.1650 Max. : 0.975000 Max. : 1.69500
## data.2463 data.2464 data.2465 data.2466
## Min. :-1.3800 Min. :-0.9350 Min. :-0.83000 Min. :-1.0000
## 1st Qu.:-0.4375 1st Qu.:-0.3325 1st Qu.:-0.23500 1st Qu.:-0.3675
## Median : 0.0000 Median : 0.0400 Median :-0.05001 Median :-0.0600
## Mean :-0.0540 Mean : 0.0620 Mean : 0.01687 Mean :-0.1253
## 3rd Qu.: 0.2675 3rd Qu.: 0.4125 3rd Qu.: 0.32250 3rd Qu.: 0.2075
## Max. : 1.4200 Max. : 1.1350 Max. : 1.28000 Max. : 0.4600
## data.2467 data.2468 data.2469 data.2470
## Min. :-1.59501 Min. :-2.4000 Min. :-1.160000 Min. :-1.3200
## 1st Qu.:-0.69501 1st Qu.:-0.4500 1st Qu.:-0.332495 1st Qu.:-0.3725
## Median :-0.14501 Median :-0.0750 Median : 0.000000 Median : 0.0000
## Mean :-0.25476 Mean :-0.0505 Mean : 0.002749 Mean :-0.1201
## 3rd Qu.: 0.07498 3rd Qu.: 0.5325 3rd Qu.: 0.347495 3rd Qu.: 0.1250
## Max. : 0.83499 Max. : 2.3100 Max. : 1.550000 Max. : 0.7300
## data.2471 data.2472 data.2473 data.2474
## Min. :-1.12000 Min. :-0.8750 Min. :-0.77998 Min. :-0.96000
## 1st Qu.:-0.61500 1st Qu.:-0.2975 1st Qu.:-0.21250 1st Qu.:-0.28500
## Median :-0.12500 Median :-0.0650 Median :-0.01750 Median : 0.02000
## Mean :-0.07638 Mean :-0.1033 Mean :-0.04125 Mean : 0.04325
## 3rd Qu.: 0.43249 3rd Qu.: 0.1325 3rd Qu.: 0.05250 3rd Qu.: 0.27749
## Max. : 1.35000 Max. : 0.6450 Max. : 0.62000 Max. : 1.46000
## data.2475 data.2476 data.2477 data.2478
## Min. :-0.79000 Min. :-1.32998 Min. :-1.16000 Min. :-0.7100
## 1st Qu.:-0.31000 1st Qu.:-0.36998 1st Qu.:-0.37500 1st Qu.:-0.1212
## Median :-0.01501 Median : 0.00252 Median :-0.09499 Median :-0.0050
## Mean :-0.05825 Mean :-0.02498 Mean :-0.05625 Mean : 0.0680
## 3rd Qu.: 0.15500 3rd Qu.: 0.34752 3rd Qu.: 0.30875 3rd Qu.: 0.2675
## Max. : 1.33000 Max. : 1.02002 Max. : 1.15000 Max. : 0.8300
## data.2479 data.2480 data.2481 data.2482
## Min. :-1.115000 Min. :-1.4800 Min. :-1.155000 Min. :-1.01000
## 1st Qu.:-0.222495 1st Qu.:-0.2675 1st Qu.:-0.425000 1st Qu.:-0.18000
## Median : 0.000000 Median : 0.0050 Median : 0.000000 Median : 0.03001
## Mean : 0.002749 Mean :-0.0420 Mean :-0.007502 Mean : 0.08850
## 3rd Qu.: 0.222500 3rd Qu.: 0.1850 3rd Qu.: 0.402490 3rd Qu.: 0.36500
## Max. : 1.360000 Max. : 1.3500 Max. : 1.050000 Max. : 0.93000
## data.2483 data.2484 data.2485 data.2486
## Min. :-0.8400 Min. :-1.00000 Min. :-0.56999 Min. :-0.7750
## 1st Qu.:-0.3500 1st Qu.:-0.30000 1st Qu.:-0.24999 1st Qu.:-0.1775
## Median : 0.0000 Median : 0.03999 Median :-0.00999 Median :-0.0125
## Mean : 0.0670 Mean : 0.04475 Mean :-0.02274 Mean : 0.0160
## 3rd Qu.: 0.4275 3rd Qu.: 0.31250 3rd Qu.: 0.11751 3rd Qu.: 0.2238
## Max. : 1.1100 Max. : 0.98000 Max. : 0.64001 Max. : 0.9950
## data.2487 data.2488 data.2489 data.2490
## Min. :-0.87002 Min. :-0.760000 Min. :-0.89000 Min. :-0.91001
## 1st Qu.:-0.33501 1st Qu.:-0.322500 1st Qu.:-0.31000 1st Qu.:-0.23376
## Median : 0.07000 Median :-0.020000 Median :-0.04001 Median :-0.02501
## Mean : 0.01375 Mean : 0.005498 Mean :-0.01500 Mean : 0.01499
## 3rd Qu.: 0.37500 3rd Qu.: 0.459985 3rd Qu.: 0.28250 3rd Qu.: 0.31498
## Max. : 1.19000 Max. : 0.880000 Max. : 0.97000 Max. : 0.78995
## data.2491 data.2492 data.2493 data.2494
## Min. :-0.5600 Min. :-1.30000 Min. :-0.90000 Min. :-1.03502
## 1st Qu.:-0.1900 1st Qu.:-0.39250 1st Qu.:-0.25750 1st Qu.:-0.35252
## Median :-0.0300 Median :-0.01500 Median : 0.00000 Median :-0.04003
## Mean : 0.0360 Mean :-0.09675 Mean :-0.04225 Mean :-0.10802
## 3rd Qu.: 0.2025 3rd Qu.: 0.17500 3rd Qu.: 0.11500 3rd Qu.: 0.11248
## Max. : 0.8300 Max. : 0.96500 Max. : 0.86000 Max. : 0.73998
## data.2495 data.2496 data.2497 data.2498
## Min. :-0.82501 Min. :-1.26500 Min. :-0.720 Min. :-0.64002
## 1st Qu.:-0.31751 1st Qu.:-0.61000 1st Qu.:-0.290 1st Qu.:-0.30502
## Median :-0.04500 Median :-0.06001 Median :-0.125 Median :-0.01002
## Mean :-0.04489 Mean :-0.13275 Mean :-0.086 Mean :-0.07202
## 3rd Qu.: 0.16749 3rd Qu.: 0.34250 3rd Qu.: 0.070 3rd Qu.: 0.13498
## Max. : 0.94499 Max. : 0.81500 Max. : 0.800 Max. : 0.84998
## data.2499 data.2500 data.2501 data.2502
## Min. :-0.57500 Min. :-0.640 Min. :-0.72000 Min. :-1.50749
## 1st Qu.:-0.27000 1st Qu.:-0.265 1st Qu.:-0.27250 1st Qu.:-0.58374
## Median :-0.05500 Median :-0.025 Median :-0.06000 Median :-0.05249
## Mean :-0.03688 Mean :-0.037 Mean :-0.03275 Mean :-0.18962
## 3rd Qu.: 0.17000 3rd Qu.: 0.185 3rd Qu.: 0.13752 3rd Qu.: 0.13501
## Max. : 0.88500 Max. : 0.980 Max. : 0.91998 Max. : 0.80251
## data.2503 data.2504 data.2505 data.2506
## Min. :-1.0650 Min. :-0.51000 Min. :-0.5750 Min. :-0.6500
## 1st Qu.:-0.4263 1st Qu.:-0.20750 1st Qu.:-0.2300 1st Qu.:-0.2250
## Median :-0.1500 Median :-0.03499 Median :-0.0275 Median :-0.0600
## Mean :-0.1118 Mean :-0.05050 Mean :-0.0440 Mean :-0.0335
## 3rd Qu.: 0.1100 3rd Qu.: 0.07625 3rd Qu.: 0.1475 3rd Qu.: 0.1875
## Max. : 0.7650 Max. : 0.65000 Max. : 0.8050 Max. : 0.5900
## data.2507 data.2508 data.2509 data.2510
## Min. :-0.79000 Min. :-1.0700 Min. :-1.01000 Min. :-1.27000
## 1st Qu.:-0.22000 1st Qu.:-0.4700 1st Qu.:-0.49250 1st Qu.:-0.35500
## Median :-0.01000 Median :-0.2650 Median :-0.10000 Median :-0.01250
## Mean :-0.01625 Mean :-0.1624 Mean :-0.12600 Mean :-0.06325
## 3rd Qu.: 0.20000 3rd Qu.: 0.0700 3rd Qu.: 0.09999 3rd Qu.: 0.23125
## Max. : 0.83500 Max. : 1.2700 Max. : 1.44998 Max. : 0.95000
## data.2511 data.2512 data.2513 data.2514
## Min. :-1.080 Min. :-1.4300 Min. :-0.8700 Min. :-1.27996
## 1st Qu.:-0.500 1st Qu.:-0.5575 1st Qu.:-0.2600 1st Qu.:-0.23998
## Median :-0.135 Median :-0.1200 Median :-0.0050 Median :-0.02497
## Mean :-0.100 Mean :-0.1718 Mean :-0.0635 Mean :-0.10296
## 3rd Qu.: 0.270 3rd Qu.: 0.2500 3rd Qu.: 0.1325 3rd Qu.: 0.09254
## Max. : 1.220 Max. : 0.8400 Max. : 0.4100 Max. : 1.15004
## data.2515 data.2516 data.2517 data.2518
## Min. :-1.3000 Min. :-1.480000 Min. :-0.9700 Min. :-0.83000
## 1st Qu.:-0.3675 1st Qu.:-0.527500 1st Qu.:-0.3425 1st Qu.:-0.33875
## Median :-0.0200 Median :-0.005019 Median :-0.1925 Median :-0.05000
## Mean :-0.0880 Mean :-0.157501 Mean :-0.1510 Mean :-0.03425
## 3rd Qu.: 0.2100 3rd Qu.: 0.242500 3rd Qu.: 0.0800 3rd Qu.: 0.27750
## Max. : 0.9500 Max. : 1.570000 Max. : 0.6700 Max. : 1.00000
## data.2519 data.2520 data.2521 data.2522
## Min. :-1.1100 Min. :-1.21498 Min. :-1.03500 Min. :-0.95998
## 1st Qu.:-0.4062 1st Qu.:-0.44750 1st Qu.:-0.32750 1st Qu.:-0.34248
## Median :-0.0550 Median :-0.02998 Median :-0.08002 Median :-0.13998
## Mean :-0.1150 Mean :-0.12223 Mean :-0.08975 Mean :-0.05898
## 3rd Qu.: 0.2000 3rd Qu.: 0.20002 3rd Qu.: 0.16125 3rd Qu.: 0.21502
## Max. : 0.8100 Max. : 0.64502 Max. : 0.61500 Max. : 1.31002
## data.2523 data.2524 data.2525 data.2526
## Min. :-0.95000 Min. :-1.72999 Min. :-1.32250 Min. :-0.64999
## 1st Qu.:-0.43500 1st Qu.:-0.30749 1st Qu.:-0.32250 1st Qu.:-0.31500
## Median :-0.08502 Median :-0.04501 Median :-0.07750 Median :-0.04999
## Mean :-0.11300 Mean :-0.10249 Mean :-0.05375 Mean :-0.05087
## 3rd Qu.: 0.13750 3rd Qu.: 0.30376 3rd Qu.: 0.26372 3rd Qu.: 0.08001
## Max. : 1.04002 Max. : 0.83001 Max. : 0.85748 Max. : 0.91501
## data.2527 data.2528 data.2529 data.2530
## Min. :-0.98000 Min. :-1.3799900 Min. :-1.22500 Min. :-1.36000
## 1st Qu.:-0.34249 1st Qu.:-0.4237402 1st Qu.:-0.45999 1st Qu.:-0.53750
## Median : 0.01000 Median : 0.0000098 Median : 0.00000 Median :-0.00500
## Mean :-0.04725 Mean :-0.0407416 Mean :-0.06475 Mean :-0.04475
## 3rd Qu.: 0.33750 3rd Qu.: 0.3800098 3rd Qu.: 0.30250 3rd Qu.: 0.44000
## Max. : 0.76000 Max. : 1.1900100 Max. : 1.31500 Max. : 1.81500
## data.2531 data.2532 data.2533 data.2534
## Min. :-1.23000 Min. :-1.7300 Min. :-0.92251 Min. :-1.36501
## 1st Qu.:-0.30000 1st Qu.:-0.6900 1st Qu.:-0.38501 1st Qu.:-0.27626
## Median :-0.01500 Median :-0.2300 Median :-0.08252 Median :-0.08501
## Mean :-0.04575 Mean :-0.2040 Mean :-0.02451 Mean :-0.12851
## 3rd Qu.: 0.26125 3rd Qu.: 0.4425 3rd Qu.: 0.27249 3rd Qu.: 0.17000
## Max. : 1.19000 Max. : 1.0800 Max. : 0.99749 Max. : 0.54499
## data.2535 data.2536 data.2537 data.2538
## Min. :-1.45501 Min. :-0.92000 Min. :-1.01500 Min. :-0.48000
## 1st Qu.:-0.36001 1st Qu.:-0.43125 1st Qu.:-0.30125 1st Qu.:-0.29250
## Median :-0.04001 Median :-0.02501 Median :-0.03000 Median :-0.08500
## Mean :-0.09526 Mean :-0.06225 Mean :-0.06175 Mean :-0.02375
## 3rd Qu.: 0.16499 3rd Qu.: 0.20250 3rd Qu.: 0.15750 3rd Qu.: 0.17250
## Max. : 0.70499 Max. : 0.65000 Max. : 0.88500 Max. : 0.75000
## data.2539 data.2540 data.2541 data.2542
## Min. :-0.61001 Min. :-0.4700 Min. :-1.23000 Min. :-0.730000
## 1st Qu.:-0.39501 1st Qu.:-0.2500 1st Qu.:-0.29750 1st Qu.:-0.251250
## Median :-0.03253 Median :-0.0600 Median :-0.08501 Median :-0.020000
## Mean :-0.03801 Mean :-0.0115 Mean :-0.07813 Mean : 0.007248
## 3rd Qu.: 0.24249 3rd Qu.: 0.2000 3rd Qu.: 0.15250 3rd Qu.: 0.204971
## Max. : 0.63999 Max. : 0.7500 Max. : 0.85000 Max. : 1.119980
## data.2543 data.2544 data.2545 data.2546
## Min. :-1.50000 Min. :-1.050020 Min. :-1.26500 Min. :-1.0300
## 1st Qu.:-0.45250 1st Qu.:-0.370034 1st Qu.:-0.24000 1st Qu.:-0.4675
## Median :-0.07249 Median : 0.000000 Median :-0.00250 Median :-0.0350
## Mean :-0.05000 Mean : 0.007355 Mean : 0.02612 Mean :-0.0765
## 3rd Qu.: 0.44000 3rd Qu.: 0.319981 3rd Qu.: 0.25251 3rd Qu.: 0.2600
## Max. : 1.27000 Max. : 1.259980 Max. : 1.13500 Max. : 0.7750
## data.2547 data.2548 data.2549 data.2550
## Min. :-0.79501 Min. :-0.59000 Min. :-2.28498 Min. :-1.200
## 1st Qu.:-0.27751 1st Qu.:-0.33500 1st Qu.:-0.21248 1st Qu.:-0.380
## Median :-0.03001 Median : 0.00000 Median : 0.00000 Median :-0.115
## Mean :-0.02301 Mean :-0.03488 Mean :-0.11399 Mean :-0.037
## 3rd Qu.: 0.10996 3rd Qu.: 0.18000 3rd Qu.: 0.08502 3rd Qu.: 0.330
## Max. : 0.95499 Max. : 0.97000 Max. : 0.91502 Max. : 1.160
## data.2551 data.2552 data.2553 data.2554
## Min. :-0.47002 Min. :-1.1800 Min. :-1.10996 Min. :-1.565010
## 1st Qu.:-0.26252 1st Qu.:-0.4075 1st Qu.:-0.27246 1st Qu.:-0.612515
## Median :-0.03002 Median :-0.1600 Median :-0.03496 Median :-0.040010
## Mean :-0.01877 Mean :-0.1405 Mean :-0.08646 Mean :-0.008261
## 3rd Qu.: 0.19248 3rd Qu.: 0.1875 3rd Qu.: 0.11004 3rd Qu.: 0.586240
## Max. : 0.55998 Max. : 0.8600 Max. : 1.06004 Max. : 1.844990
## data.2555 data.2556 data.2557 data.2558
## Min. :-1.59002 Min. :-1.1999610 Min. :-0.7300 Min. :-3.3150
## 1st Qu.:-0.55502 1st Qu.:-0.4874805 1st Qu.:-0.3525 1st Qu.:-0.4300
## Median :-0.02005 Median : 0.0000098 Median :-0.0450 Median :-0.1000
## Mean : 0.02423 Mean :-0.0549819 Mean :-0.0330 Mean :-0.2393
## 3rd Qu.: 0.59248 3rd Qu.: 0.3575293 3rd Qu.: 0.2925 3rd Qu.: 0.0525
## Max. : 1.37998 Max. : 1.1600200 Max. : 0.7550 Max. : 0.7650
## data.2559 data.2560 data.2561 data.2562
## Min. :-2.4100 Min. :-0.78500 Min. :-0.8350 Min. :-0.9150
## 1st Qu.:-0.5100 1st Qu.:-0.23875 1st Qu.:-0.3975 1st Qu.:-0.3875
## Median :-0.1350 Median : 0.00000 Median :-0.0350 Median : 0.0650
## Mean :-0.2214 Mean :-0.04613 Mean :-0.0360 Mean : 0.0535
## 3rd Qu.: 0.1025 3rd Qu.: 0.13750 3rd Qu.: 0.3800 3rd Qu.: 0.5000
## Max. : 1.0800 Max. : 0.60500 Max. : 1.2450 Max. : 1.0950
## data.2563 data.2564 data.2565 data.2566
## Min. :-1.27500 Min. :-1.45504 Min. :-0.79500 Min. :-0.890000
## 1st Qu.:-0.25750 1st Qu.:-0.35499 1st Qu.:-0.29000 1st Qu.:-0.342515
## Median :-0.01499 Median :-0.07500 Median :-0.04001 Median :-0.025010
## Mean :-0.06663 Mean :-0.07775 Mean :-0.04538 Mean :-0.002501
## 3rd Qu.: 0.12000 3rd Qu.: 0.16249 3rd Qu.: 0.18000 3rd Qu.: 0.262500
## Max. : 0.67000 Max. : 1.39000 Max. : 0.51500 Max. : 0.920019
## data.2567 data.2568 data.2569 data.2570
## Min. :-0.6900 Min. :-0.88000 Min. :-0.9350 Min. :-0.83750
## 1st Qu.:-0.2413 1st Qu.:-0.19250 1st Qu.:-0.2900 1st Qu.:-0.35750
## Median :-0.0100 Median : 0.00000 Median : 0.0500 Median : 0.00000
## Mean : 0.0220 Mean : 0.05525 Mean : 0.0255 Mean :-0.02725
## 3rd Qu.: 0.2875 3rd Qu.: 0.24500 3rd Qu.: 0.2675 3rd Qu.: 0.20000
## Max. : 1.1250 Max. : 1.21000 Max. : 0.8250 Max. : 0.85250
## data.2571 data.2572 data.2573 data.2574
## Min. :-0.83998 Min. :-1.62000 Min. :-0.93002 Min. :-2.0000
## 1st Qu.:-0.24253 1st Qu.:-0.44000 1st Qu.:-0.36252 1st Qu.:-0.6975
## Median :-0.06250 Median :-0.03501 Median :-0.01001 Median :-0.1650
## Mean : 0.01525 Mean :-0.08800 Mean :-0.01202 Mean :-0.1955
## 3rd Qu.: 0.23750 3rd Qu.: 0.27749 3rd Qu.: 0.25623 3rd Qu.: 0.3350
## Max. : 1.17998 Max. : 0.90000 Max. : 1.26996 Max. : 1.1400
## data.2575 data.2576 data.2577 data.2578
## Min. :-1.7400 Min. :-2.6250 Min. :-1.7500 Min. :-1.51000
## 1st Qu.:-0.3750 1st Qu.:-0.7975 1st Qu.:-0.5212 1st Qu.:-0.51750
## Median : 0.0000 Median : 0.0000 Median :-0.1550 Median : 0.00000
## Mean :-0.0715 Mean :-0.2079 Mean :-0.1322 Mean :-0.06725
## 3rd Qu.: 0.3000 3rd Qu.: 0.2550 3rd Qu.: 0.3100 3rd Qu.: 0.43247
## Max. : 1.7200 Max. : 1.6650 Max. : 1.0500 Max. : 1.09000
## data.2579 data.2580 data.2581 data.2582
## Min. :-1.03500 Min. :-1.6850 Min. :-1.5400 Min. :-1.6450
## 1st Qu.:-0.25500 1st Qu.:-0.7575 1st Qu.:-0.6675 1st Qu.:-0.4050
## Median :-0.03502 Median :-0.1400 Median :-0.2850 Median :-0.1025
## Mean :-0.07475 Mean :-0.2728 Mean :-0.2820 Mean :-0.1571
## 3rd Qu.: 0.15250 3rd Qu.: 0.1700 3rd Qu.: 0.2625 3rd Qu.: 0.1175
## Max. : 1.25500 Max. : 0.9650 Max. : 0.9000 Max. : 0.7650
## data.2583 data.2584 data.2585 data.2586
## Min. :-1.5625 Min. :-1.07000 Min. :-1.47500 Min. :-1.29998
## 1st Qu.:-0.3100 1st Qu.:-0.50250 1st Qu.:-0.35750 1st Qu.:-0.58499
## Median :-0.1375 Median : 0.00000 Median :-0.00500 Median :-0.05498
## Mean :-0.1059 Mean :-0.05163 Mean :-0.03225 Mean :-0.18223
## 3rd Qu.: 0.1925 3rd Qu.: 0.38750 3rd Qu.: 0.34750 3rd Qu.: 0.14500
## Max. : 0.5175 Max. : 1.20000 Max. : 1.35500 Max. : 0.97002
## data.2587 data.2588 data.2589 data.2590
## Min. :-0.81000 Min. :-1.03500 Min. :-0.930 Min. :-1.0400
## 1st Qu.:-0.35000 1st Qu.:-0.29252 1st Qu.:-0.420 1st Qu.:-0.4113
## Median :-0.07000 Median :-0.08500 Median :-0.060 Median :-0.0950
## Mean :-0.04813 Mean :-0.05925 Mean :-0.105 Mean :-0.1133
## 3rd Qu.: 0.28000 3rd Qu.: 0.19000 3rd Qu.: 0.115 3rd Qu.: 0.0925
## Max. : 1.12000 Max. : 0.78498 Max. : 0.740 Max. : 0.7700
## data.2591 data.2592 data.2593 data.2594
## Min. :-1.11003 Min. :-0.93500 Min. :-2.7750 Min. :-0.85002
## 1st Qu.:-0.34500 1st Qu.:-0.29000 1st Qu.:-0.4425 1st Qu.:-0.33500
## Median :-0.10000 Median :-0.08002 Median : 0.0000 Median :-0.11000
## Mean :-0.08126 Mean :-0.03675 Mean : 0.0565 Mean :-0.06725
## 3rd Qu.: 0.14249 3rd Qu.: 0.27500 3rd Qu.: 0.6300 3rd Qu.: 0.23250
## Max. : 1.03999 Max. : 1.04500 Max. : 3.3650 Max. : 0.68000
## data.2595 data.2596 data.2597 data.2598
## Min. :-0.80000 Min. :-1.1550 Min. :-1.0150 Min. :-1.2250
## 1st Qu.:-0.36749 1st Qu.:-0.3325 1st Qu.:-0.3800 1st Qu.:-0.4225
## Median :-0.01001 Median : 0.0000 Median :-0.0550 Median : 0.0100
## Mean :-0.06000 Mean :-0.0825 Mean :-0.0465 Mean :-0.0975
## 3rd Qu.: 0.15500 3rd Qu.: 0.1725 3rd Qu.: 0.2625 3rd Qu.: 0.2362
## Max. : 0.94000 Max. : 0.7750 Max. : 0.9250 Max. : 0.5650
## data.2599 data.2600 data.2601 data.2602
## Min. :-1.2600 Min. :-1.350 Min. :-1.4000 Min. :-0.96996
## 1st Qu.:-0.4500 1st Qu.:-0.475 1st Qu.:-0.4925 1st Qu.:-0.30998
## Median : 0.0000 Median :-0.055 Median :-0.0850 Median :-0.00999
## Mean :-0.1013 Mean :-0.143 Mean :-0.1405 Mean :-0.03511
## 3rd Qu.: 0.1837 3rd Qu.: 0.230 3rd Qu.: 0.2800 3rd Qu.: 0.29002
## Max. : 0.6400 Max. : 0.810 Max. : 0.7600 Max. : 0.74002
## data.2603 data.2604 data.2605 data.2606
## Min. :-1.4300 Min. :-1.12000 Min. :-1.12002 Min. :-0.620000
## 1st Qu.:-0.5300 1st Qu.:-0.26250 1st Qu.:-0.44250 1st Qu.:-0.227515
## Median : 0.0500 Median : 0.03000 Median : 0.00000 Median : 0.030000
## Mean :-0.0390 Mean :-0.01025 Mean :-0.08275 Mean : 0.006248
## 3rd Qu.: 0.3175 3rd Qu.: 0.34625 3rd Qu.: 0.21250 3rd Qu.: 0.217495
## Max. : 0.9200 Max. : 0.79000 Max. : 0.75000 Max. : 0.650000
## data.2607 data.2608 data.2609 data.2610
## Min. :-0.71000 Min. :-0.675000 Min. :-0.7800 Min. :-0.90500
## 1st Qu.:-0.24250 1st Qu.:-0.195000 1st Qu.:-0.1363 1st Qu.:-0.23500
## Median :-0.10000 Median : 0.000000 Median : 0.0000 Median :-0.01000
## Mean :-0.04238 Mean :-0.001752 Mean : 0.0775 Mean :-0.01625
## 3rd Qu.: 0.12250 3rd Qu.: 0.150000 3rd Qu.: 0.2750 3rd Qu.: 0.20250
## Max. : 1.21000 Max. : 0.684980 Max. : 1.0700 Max. : 0.78500
## data.2611 data.2612 data.2613 data.2614
## Min. :-1.13996 Min. :-0.975000 Min. :-0.9450 Min. :-0.83000
## 1st Qu.:-0.32246 1st Qu.:-0.297500 1st Qu.:-0.2900 1st Qu.:-0.25500
## Median :-0.03499 Median :-0.005000 Median :-0.0900 Median :-0.01000
## Mean :-0.07421 Mean :-0.006001 Mean :-0.1078 Mean : 0.01025
## 3rd Qu.: 0.22004 3rd Qu.: 0.230000 3rd Qu.: 0.1275 3rd Qu.: 0.28750
## Max. : 0.64006 Max. : 0.614981 Max. : 0.6350 Max. : 1.14000
## data.2615 data.2616 data.2617 data.2618
## Min. :-0.8500 Min. :-0.9000 Min. :-0.739981 Min. :-0.95497
## 1st Qu.:-0.3450 1st Qu.:-0.4537 1st Qu.:-0.200000 1st Qu.:-0.36499
## Median :-0.0700 Median :-0.1250 Median : 0.000000 Median :-0.08749
## Mean :-0.0705 Mean :-0.1533 Mean :-0.008001 Mean :-0.05899
## 3rd Qu.: 0.1550 3rd Qu.: 0.1212 3rd Qu.: 0.180000 3rd Qu.: 0.25501
## Max. : 0.6500 Max. : 0.6500 Max. : 0.630019 Max. : 0.79501
## data.2619 data.2620 data.2621 data.2622
## Min. :-0.91998 Min. :-1.07996 Min. :-1.1600 Min. :-1.7600
## 1st Qu.:-0.42248 1st Qu.:-0.29746 1st Qu.:-0.1825 1st Qu.:-0.4050
## Median :-0.05498 Median :-0.05246 Median : 0.0000 Median :-0.0400
## Mean :-0.11298 Mean :-0.04484 Mean : 0.0130 Mean :-0.0975
## 3rd Qu.: 0.20502 3rd Qu.: 0.24254 3rd Qu.: 0.2325 3rd Qu.: 0.2925
## Max. : 0.66000 Max. : 0.82002 Max. : 1.2100 Max. : 0.8100
## data.2623 data.2624 data.2625 data.2626
## Min. :-0.81000 Min. :-0.6400 Min. :-1.34998 Min. :-1.099941
## 1st Qu.:-0.29250 1st Qu.:-0.1375 1st Qu.:-0.25625 1st Qu.:-0.314961
## Median :-0.09000 Median : 0.0175 Median :-0.01500 Median :-0.012461
## Mean :-0.01175 Mean :-0.0205 Mean :-0.02075 Mean :-0.001713
## 3rd Qu.: 0.34250 3rd Qu.: 0.1413 3rd Qu.: 0.29750 3rd Qu.: 0.335020
## Max. : 0.90500 Max. : 0.3600 Max. : 0.95000 Max. : 0.810039
## data.2627 data.2628 data.2629 data.2630
## Min. :-2.3500 Min. :-1.5100 Min. :-1.5400 Min. :-1.54998
## 1st Qu.:-0.9137 1st Qu.:-0.4050 1st Qu.:-0.4150 1st Qu.:-0.52248
## Median :-0.1550 Median :-0.0850 Median :-0.1250 Median :-0.01998
## Mean :-0.2195 Mean :-0.1376 Mean :-0.1413 Mean :-0.11423
## 3rd Qu.: 0.3787 3rd Qu.: 0.1300 3rd Qu.: 0.1350 3rd Qu.: 0.23252
## Max. : 1.3200 Max. : 0.9200 Max. : 1.0550 Max. : 1.30000
## data.2631 data.2632 data.2633 data.2634
## Min. :-1.26e+00 Min. :-1.0700 Min. :-0.8600 Min. :-1.16498
## 1st Qu.:-4.05e-01 1st Qu.:-0.5900 1st Qu.:-0.5525 1st Qu.:-0.45498
## Median :-8.00e-02 Median :-0.1050 Median : 0.0000 Median :-0.07500
## Mean :-1.50e-06 Mean :-0.1138 Mean :-0.0280 Mean :-0.03173
## 3rd Qu.: 4.60e-01 3rd Qu.: 0.1825 3rd Qu.: 0.2150 3rd Qu.: 0.27877
## Max. : 1.04e+00 Max. : 1.3400 Max. : 1.8600 Max. : 1.08502
## data.2635 data.2636 data.2637 data.2638
## Min. :-2.1300 Min. :-0.81002 Min. :-1.68750 Min. :-1.407500
## 1st Qu.:-0.4425 1st Qu.:-0.34998 1st Qu.:-0.56750 1st Qu.:-0.420000
## Median :-0.0350 Median :-0.08498 Median :-0.06500 Median :-0.035000
## Mean :-0.0580 Mean :-0.01698 Mean :-0.01875 Mean : 0.007498
## 3rd Qu.: 0.6725 3rd Qu.: 0.37502 3rd Qu.: 0.54750 3rd Qu.: 0.397495
## Max. : 1.3900 Max. : 1.10002 Max. : 1.66248 Max. : 1.692500
## data.2639 data.2640 data.2641 data.2642
## Min. :-1.25500 Min. :-1.09500 Min. :-1.21000 Min. :-1.810
## 1st Qu.:-0.38750 1st Qu.:-0.30750 1st Qu.:-0.30500 1st Qu.:-0.145
## Median : 0.00250 Median : 0.01500 Median : 0.00000 Median : 0.045
## Mean : 0.05012 Mean :-0.02475 Mean :-0.04025 Mean : 0.027
## 3rd Qu.: 0.42500 3rd Qu.: 0.36999 3rd Qu.: 0.34751 3rd Qu.: 0.415
## Max. : 1.73500 Max. : 1.10500 Max. : 1.10000 Max. : 0.900
## data.2643 data.2644 data.2645 data.2646
## Min. :-1.11999 Min. :-1.04999 Min. :-0.93500 Min. :-0.7699805
## 1st Qu.:-0.35249 1st Qu.:-0.25498 1st Qu.:-0.32000 1st Qu.:-0.1174805
## Median : 0.09001 Median : 0.03501 Median :-0.08500 Median : 0.0000097
## Mean : 0.06751 Mean : 0.05026 Mean :-0.06575 Mean : 0.0658915
## 3rd Qu.: 0.45251 3rd Qu.: 0.41751 3rd Qu.: 0.20250 3rd Qu.: 0.1625195
## Max. : 1.47001 Max. : 0.80001 Max. : 0.81500 Max. : 1.3700190
## data.2647 data.2648 data.2649 data.2650
## Min. :-0.7150 Min. :-1.39501 Min. :-1.00002 Min. :-1.0700
## 1st Qu.:-0.3375 1st Qu.:-0.44000 1st Qu.:-0.46125 1st Qu.:-0.3450
## Median :-0.0400 Median :-0.10751 Median :-0.17500 Median :-0.0250
## Mean :-0.0275 Mean : 0.05324 Mean :-0.06275 Mean :-0.0310
## 3rd Qu.: 0.2925 3rd Qu.: 0.42999 3rd Qu.: 0.27500 3rd Qu.: 0.2775
## Max. : 0.8500 Max. : 1.75499 Max. : 1.17000 Max. : 0.7700
## data.2651 data.2652 data.2653 data.2654
## Min. :-1.00000 Min. :-0.81000 Min. :-1.1050 Min. :-1.4400
## 1st Qu.:-0.34000 1st Qu.:-0.25500 1st Qu.:-0.2425 1st Qu.:-0.3175
## Median :-0.05499 Median :-0.04750 Median : 0.0000 Median : 0.0000
## Mean :-0.03875 Mean :-0.01013 Mean : 0.0735 Mean :-0.0495
## 3rd Qu.: 0.21251 3rd Qu.: 0.20247 3rd Qu.: 0.3525 3rd Qu.: 0.2825
## Max. : 1.19000 Max. : 0.97000 Max. : 1.4200 Max. : 0.7900
## data.2655 data.2656 data.2657 data.2658
## Min. :-2.350 Min. :-1.51998 Min. :-1.36500 Min. :-1.2450
## 1st Qu.:-0.460 1st Qu.:-0.36500 1st Qu.:-0.33750 1st Qu.:-0.2913
## Median :-0.045 Median : 0.00000 Median : 0.07750 Median : 0.0700
## Mean :-0.132 Mean :-0.06325 Mean : 0.05925 Mean : 0.1154
## 3rd Qu.: 0.250 3rd Qu.: 0.20500 3rd Qu.: 0.49875 3rd Qu.: 0.5125
## Max. : 0.850 Max. : 0.69000 Max. : 1.64498 Max. : 1.0350
## data.2659 data.2660 data.2661 data.2662
## Min. :-1.2800 Min. :-1.280 Min. :-1.1300 Min. :-0.71998
## 1st Qu.:-0.2750 1st Qu.:-0.175 1st Qu.:-0.3425 1st Qu.:-0.31249
## Median : 0.1625 Median : 0.165 Median :-0.0450 Median :-0.07500
## Mean : 0.1377 Mean : 0.168 Mean :-0.1551 Mean :-0.04338
## 3rd Qu.: 0.6200 3rd Qu.: 0.600 3rd Qu.: 0.0775 3rd Qu.: 0.18750
## Max. : 1.0900 Max. : 1.580 Max. : 0.4900 Max. : 0.73000
## data.2663 data.2664 data.2665 data.2666
## Min. :-1.49752 Min. :-1.26001 Min. :-2.0650 Min. :-1.11997
## 1st Qu.:-0.48250 1st Qu.:-0.48501 1st Qu.:-0.7725 1st Qu.:-0.39747
## Median :-0.00500 Median :-0.12501 Median :-0.2700 Median :-0.08997
## Mean :-0.06025 Mean :-0.03251 Mean :-0.2958 Mean :-0.07622
## 3rd Qu.: 0.30500 3rd Qu.: 0.36499 3rd Qu.: 0.1750 3rd Qu.: 0.20753
## Max. : 1.29250 Max. : 1.20999 Max. : 1.2350 Max. : 1.04503
## data.2667 data.2668 data.2669 data.2670
## Min. :-0.86000 Min. :-1.1700 Min. :-0.70499 Min. :-1.1600
## 1st Qu.:-0.24250 1st Qu.:-0.3750 1st Qu.:-0.21999 1st Qu.:-0.3925
## Median :-0.04000 Median :-0.1000 Median :-0.02000 Median :-0.0450
## Mean :-0.08125 Mean :-0.0955 Mean :-0.02124 Mean :-0.1005
## 3rd Qu.: 0.09250 3rd Qu.: 0.0825 3rd Qu.: 0.15501 3rd Qu.: 0.1475
## Max. : 0.76000 Max. : 1.1600 Max. : 0.65501 Max. : 0.9100
## data.2671 data.2672 data.2673 data.2674
## Min. :-1.2100 Min. :-0.80998 Min. :-0.73500 Min. :-0.7850
## 1st Qu.:-0.3875 1st Qu.:-0.28000 1st Qu.:-0.32750 1st Qu.:-0.3850
## Median :-0.1600 Median :-0.05000 Median :-0.11500 Median :-0.1400
## Mean :-0.1249 Mean :-0.01375 Mean :-0.02375 Mean :-0.0725
## 3rd Qu.: 0.2025 3rd Qu.: 0.23000 3rd Qu.: 0.23000 3rd Qu.: 0.1850
## Max. : 0.6900 Max. : 1.00500 Max. : 0.80498 Max. : 0.6250
## data.2675 data.2676 data.2677 data.2678
## Min. :-1.15498 Min. :-0.65500 Min. :-0.52000 Min. :-0.69000
## 1st Qu.:-0.41748 1st Qu.:-0.32500 1st Qu.:-0.24250 1st Qu.:-0.27001
## Median :-0.03248 Median :-0.07499 Median :-0.02502 Median :-0.03500
## Mean :-0.10473 Mean :-0.10113 Mean :-0.05675 Mean :-0.07225
## 3rd Qu.: 0.21253 3rd Qu.: 0.11000 3rd Qu.: 0.13501 3rd Qu.: 0.15250
## Max. : 0.53504 Max. : 0.64498 Max. : 0.55000 Max. : 0.42000
## data.2679 data.2680 data.2681 data.2682
## Min. :-0.85500 Min. :-1.0100 Min. :-2.1800 Min. :-1.2900
## 1st Qu.:-0.35250 1st Qu.:-0.3000 1st Qu.:-0.4750 1st Qu.:-0.4125
## Median :-0.01000 Median :-0.0850 Median :-0.0150 Median :-0.0750
## Mean : 0.04687 Mean :-0.0365 Mean :-0.2056 Mean :-0.0695
## 3rd Qu.: 0.37500 3rd Qu.: 0.2450 3rd Qu.: 0.0925 3rd Qu.: 0.3713
## Max. : 1.29498 Max. : 0.8200 Max. : 0.8400 Max. : 0.9300
## data.2683 data.2684 data.2685 data.2686
## Min. :-1.33501 Min. :-0.8050 Min. :-0.76996 Min. :-0.53500
## 1st Qu.:-0.33251 1st Qu.:-0.3100 1st Qu.:-0.27996 1st Qu.:-0.21250
## Median :-0.08002 Median :-0.1100 Median :-0.02496 Median : 0.00250
## Mean :-0.09151 Mean :-0.0610 Mean :-0.03771 Mean :-0.01663
## 3rd Qu.: 0.19749 3rd Qu.: 0.1975 3rd Qu.: 0.13504 3rd Qu.: 0.13499
## Max. : 0.81499 Max. : 1.0950 Max. : 0.92002 Max. : 0.86500
## data.2687 data.2688 data.2689 data.2690
## Min. :-0.74000 Min. :-1.1150 Min. :-0.84000 Min. :-0.94502
## 1st Qu.:-0.29000 1st Qu.:-0.2875 1st Qu.:-0.29249 1st Qu.:-0.29500
## Median : 0.01500 Median :-0.1000 Median :-0.05998 Median :-0.03499
## Mean :-0.02125 Mean :-0.0805 Mean :-0.03423 Mean :-0.02275
## 3rd Qu.: 0.18250 3rd Qu.: 0.1275 3rd Qu.: 0.28127 3rd Qu.: 0.33250
## Max. : 0.67998 Max. : 0.9850 Max. : 0.62002 Max. : 0.70500
## data.2691 data.2692 data.2693 data.2694
## Min. :-0.85999 Min. :-1.68000 Min. :-0.650000 Min. :-1.5025
## 1st Qu.:-0.39999 1st Qu.:-0.36000 1st Qu.:-0.225000 1st Qu.:-0.4425
## Median :-0.00500 Median :-0.04500 Median : 0.010000 Median :-0.0275
## Mean :-0.06899 Mean :-0.07375 Mean : 0.005624 Mean :-0.0255
## 3rd Qu.: 0.16501 3rd Qu.: 0.21250 3rd Qu.: 0.181250 3rd Qu.: 0.2425
## Max. : 1.02001 Max. : 1.12000 Max. : 0.830000 Max. : 1.6875
## data.2695 data.2696 data.2697 data.2698
## Min. :-1.66002 Min. :-1.12998 Min. :-1.2400 Min. :-0.50500
## 1st Qu.:-0.80875 1st Qu.:-0.53248 1st Qu.:-0.5125 1st Qu.:-0.15500
## Median :-0.07501 Median : 0.03502 Median :-0.0700 Median :-0.00750
## Mean :-0.09100 Mean :-0.04636 Mean :-0.0185 Mean : 0.03487
## 3rd Qu.: 0.41250 3rd Qu.: 0.36752 3rd Qu.: 0.4200 3rd Qu.: 0.19750
## Max. : 1.82000 Max. : 0.79002 Max. : 1.1200 Max. : 1.04500
## data.2699 data.2700 data.2701 data.2702
## Min. :-0.77498 Min. :-1.700 Min. :-1.68000 Min. :-1.02999
## 1st Qu.:-0.29750 1st Qu.:-0.370 1st Qu.:-0.27503 1st Qu.:-0.10999
## Median :-0.10500 Median :-0.160 Median :-0.07501 Median :-0.02748
## Mean :-0.05125 Mean :-0.136 Mean :-0.09200 Mean :-0.02274
## 3rd Qu.: 0.22500 3rd Qu.: 0.070 3rd Qu.: 0.10500 3rd Qu.: 0.12501
## Max. : 0.70500 Max. : 1.070 Max. : 0.60000 Max. : 0.83001
## data.2703 data.2704 data.2705 data.2706
## Min. :-1.12000 Min. :-1.33499 Min. :-1.2700 Min. :-1.11004
## 1st Qu.:-0.23751 1st Qu.:-0.27373 1st Qu.:-0.3200 1st Qu.:-0.47001
## Median : 0.00000 Median :-0.03499 Median :-0.0400 Median :-0.00501
## Mean :-0.02338 Mean :-0.07549 Mean :-0.0925 Mean :-0.12475
## 3rd Qu.: 0.29500 3rd Qu.: 0.14752 3rd Qu.: 0.1525 3rd Qu.: 0.12250
## Max. : 0.91000 Max. : 0.78501 Max. : 0.6300 Max. : 0.55000
## data.2707 data.2708 data.2709 data.2710
## Min. :-0.57000 Min. :-0.79501 Min. :-1.5150 Min. :-0.71748
## 1st Qu.:-0.22000 1st Qu.:-0.27252 1st Qu.:-0.2700 1st Qu.:-0.37500
## Median :-0.01250 Median :-0.05501 Median :-0.1350 Median :-0.11250
## Mean : 0.01675 Mean :-0.04439 Mean :-0.1403 Mean :-0.05225
## 3rd Qu.: 0.26000 3rd Qu.: 0.13499 3rd Qu.: 0.0375 3rd Qu.: 0.15500
## Max. : 0.75000 Max. : 0.96499 Max. : 0.4300 Max. : 0.83250
## data.2711 data.2712 data.2713 data.2714
## Min. :-0.67000 Min. :-1.31004 Min. :-1.0700 Min. :-0.9300
## 1st Qu.:-0.23500 1st Qu.:-0.47250 1st Qu.:-0.2725 1st Qu.:-0.3500
## Median :-0.01499 Median :-0.07500 Median :-0.0300 Median :-0.0150
## Mean :-0.03675 Mean :-0.02975 Mean :-0.0485 Mean : 0.0205
## 3rd Qu.: 0.15000 3rd Qu.: 0.27250 3rd Qu.: 0.2025 3rd Qu.: 0.4250
## Max. : 0.56000 Max. : 1.31000 Max. : 0.8700 Max. : 0.7300
## data.2715 data.2716 data.2717 data.2718
## Min. :-1.50501 Min. :-0.9550 Min. :-0.9800 Min. :-0.73000
## 1st Qu.:-0.26499 1st Qu.:-0.3375 1st Qu.:-0.4925 1st Qu.:-0.26999
## Median :-0.02499 Median : 0.0025 Median :-0.0625 Median :-0.06501
## Mean :-0.02799 Mean : 0.1667 Mean : 0.1479 Mean :-0.01738
## 3rd Qu.: 0.15751 3rd Qu.: 0.5775 3rd Qu.: 0.5675 3rd Qu.: 0.20250
## Max. : 0.99501 Max. : 1.8050 Max. : 2.1700 Max. : 0.87000
## data.2719 data.2720 data.2721 data.2722
## Min. :-1.23001 Min. :-2.8600 Min. :-4.75000 Min. :-2.4600000
## 1st Qu.:-0.36502 1st Qu.:-0.3025 1st Qu.:-0.34002 1st Qu.:-0.1775000
## Median :-0.04001 Median : 0.0000 Median : 0.13000 Median : 0.0000000
## Mean :-0.05401 Mean :-0.0385 Mean :-0.04825 Mean :-0.0005015
## 3rd Qu.: 0.26998 3rd Qu.: 0.4625 3rd Qu.: 0.45500 3rd Qu.: 0.3725000
## Max. : 0.88499 Max. : 0.9400 Max. : 0.92000 Max. : 0.7500195
## data.2723 data.2724 data.2725 data.2726
## Min. :-1.5600 Min. :-1.6800 Min. :-0.84000 Min. :-0.76996
## 1st Qu.:-0.5200 1st Qu.:-0.4850 1st Qu.:-0.44000 1st Qu.:-0.32996
## Median :-0.2300 Median :-0.2000 Median :-0.08003 Median :-0.02996
## Mean :-0.1173 Mean :-0.1006 Mean :-0.05775 Mean :-0.05871
## 3rd Qu.: 0.3300 3rd Qu.: 0.2400 3rd Qu.: 0.28750 3rd Qu.: 0.14004
## Max. : 1.0600 Max. : 1.2500 Max. : 1.64000 Max. : 0.80004
## data.2727 data.2728 data.2729 data.2730
## Min. :-0.57000 Min. :-0.58000 Min. :-1.21000 Min. :-0.87000
## 1st Qu.:-0.25250 1st Qu.:-0.22000 1st Qu.:-0.29000 1st Qu.:-0.46000
## Median :-0.02001 Median :-0.00501 Median :-0.05250 Median :-0.07001
## Mean :-0.06463 Mean : 0.04925 Mean : 0.02975 Mean :-0.02988
## 3rd Qu.: 0.12500 3rd Qu.: 0.31750 3rd Qu.: 0.42499 3rd Qu.: 0.26000
## Max. : 0.41000 Max. : 1.16996 Max. : 0.93000 Max. : 1.47000
## data.2731 data.2732 data.2733 data.2734
## Min. :-0.6700000 Min. :-1.219990 Min. :-0.95998 Min. :-2.3000
## 1st Qu.:-0.2625000 1st Qu.:-0.337490 1st Qu.:-0.23250 1st Qu.:-0.5125
## Median :-0.0449902 Median : 0.040010 Median : 0.02753 Median : 0.1050
## Mean :-0.0000015 Mean :-0.004492 Mean : 0.06852 Mean : 0.3692
## 3rd Qu.: 0.2550000 3rd Qu.: 0.337510 3rd Qu.: 0.44502 3rd Qu.: 1.5650
## Max. : 0.9700000 Max. : 0.940010 Max. : 1.19002 Max. : 3.3300
## data.2735 data.2736 data.2737 data.2738
## Min. :-1.670 Min. :-1.41000 Min. :-0.59000 Min. :-1.31500
## 1st Qu.:-0.335 1st Qu.:-0.50250 1st Qu.:-0.30500 1st Qu.:-0.40500
## Median : 0.000 Median :-0.07502 Median :-0.08500 Median :-0.13500
## Mean :-0.124 Mean :-0.12075 Mean :-0.05075 Mean :-0.07688
## 3rd Qu.: 0.225 3rd Qu.: 0.27250 3rd Qu.: 0.08000 3rd Qu.: 0.23999
## Max. : 0.920 Max. : 0.94000 Max. : 1.00000 Max. : 0.83500
## data.2739 data.2740 data.2741 data.2742
## Min. :-1.01000 Min. :-1.0500 Min. :-0.8300 Min. :-0.75500
## 1st Qu.:-0.37875 1st Qu.:-0.4375 1st Qu.:-0.4475 1st Qu.:-0.31750
## Median :-0.10000 Median :-0.2000 Median :-0.1450 Median :-0.09000
## Mean :-0.05875 Mean :-0.1458 Mean :-0.1058 Mean : 0.01375
## 3rd Qu.: 0.37625 3rd Qu.: 0.0825 3rd Qu.: 0.1875 3rd Qu.: 0.24750
## Max. : 0.90000 Max. : 0.7800 Max. : 0.7800 Max. : 1.00000
## data.2743 data.2744 data.2745 data.2746
## Min. :-0.99002 Min. :-0.92000 Min. :-0.550000 Min. :-1.85002
## 1st Qu.:-0.32750 1st Qu.:-0.32250 1st Qu.:-0.232500 1st Qu.:-0.31749
## Median :-0.01500 Median :-0.05999 Median :-0.024990 Median :-0.02000
## Mean :-0.06575 Mean :-0.07588 Mean :-0.007127 Mean :-0.05025
## 3rd Qu.: 0.19376 3rd Qu.: 0.25500 3rd Qu.: 0.160000 3rd Qu.: 0.25250
## Max. : 0.63000 Max. : 0.68000 Max. : 0.620000 Max. : 0.66000
## data.2747 data.2748 data.2749 data.2750
## Min. :-0.61500 Min. :-0.91998 Min. :-1.2125 Min. :-0.89002
## 1st Qu.:-0.34000 1st Qu.:-0.25250 1st Qu.:-0.5050 1st Qu.:-0.23000
## Median : 0.03000 Median :-0.03998 Median : 0.0000 Median :-0.01999
## Mean : 0.04075 Mean : 0.03552 Mean : 0.2435 Mean : 0.15312
## 3rd Qu.: 0.40750 3rd Qu.: 0.18002 3rd Qu.: 0.4400 3rd Qu.: 0.43000
## Max. : 0.97500 Max. : 1.41502 Max. : 3.2375 Max. : 1.79000
## data.2751 data.2752 data.2753 data.2754
## Min. :-0.87500 Min. :-1.195000 Min. :-1.86500 Min. :-2.2000
## 1st Qu.:-0.30500 1st Qu.:-0.282534 1st Qu.:-0.69750 1st Qu.:-0.5425
## Median :-0.03500 Median :-0.042500 Median :-0.01499 Median :-0.1300
## Mean : 0.02637 Mean : 0.007373 Mean :-0.22700 Mean :-0.0790
## 3rd Qu.: 0.34250 3rd Qu.: 0.282500 3rd Qu.: 0.32000 3rd Qu.: 0.5275
## Max. : 1.34000 Max. : 1.065000 Max. : 1.00500 Max. : 1.8300
## data.2755 data.2756 data.2757 data.2758
## Min. :-1.6050000 Min. :-1.01000 Min. :-0.89002 Min. :-2.73000
## 1st Qu.:-0.2350000 1st Qu.:-0.38750 1st Qu.:-0.24877 1st Qu.:-0.95250
## Median :-0.0100000 Median : 0.00499 Median : 0.00999 Median :-0.00500
## Mean :-0.0005015 Mean : 0.01450 Mean : 0.03698 Mean : 0.01262
## 3rd Qu.: 0.2362500 3rd Qu.: 0.36250 3rd Qu.: 0.29247 3rd Qu.: 1.07250
## Max. : 1.1650000 Max. : 1.19000 Max. : 1.05998 Max. : 2.66000
## data.2759 data.2760 data.2761 data.2762
## Min. :-1.0750 Min. :-1.06500 Min. :-1.0300 Min. :-1.45498
## 1st Qu.:-0.1800 1st Qu.:-0.49000 1st Qu.:-0.3275 1st Qu.:-0.43751
## Median : 0.0000 Median : 0.00250 Median :-0.0050 Median : 0.00000
## Mean : 0.1224 Mean :-0.07188 Mean :-0.0150 Mean :-0.05338
## 3rd Qu.: 0.5175 3rd Qu.: 0.30000 3rd Qu.: 0.3375 3rd Qu.: 0.29000
## Max. : 1.1850 Max. : 0.75500 Max. : 0.9000 Max. : 1.03500
## data.2763 data.2764 data.2765 data.2766
## Min. :-0.50998 Min. :-0.525000 Min. :-1.50502 Min. :-0.69500
## 1st Qu.:-0.15999 1st Qu.:-0.199985 1st Qu.:-0.33501 1st Qu.:-0.34249
## Median : 0.00000 Median : 0.020000 Median : 0.03000 Median :-0.09002
## Mean : 0.03914 Mean : 0.006248 Mean :-0.01625 Mean :-0.02675
## 3rd Qu.: 0.22002 3rd Qu.: 0.268750 3rd Qu.: 0.48500 3rd Qu.: 0.17250
## Max. : 0.87000 Max. : 0.645000 Max. : 1.00500 Max. : 0.77000
## data.2767 data.2768 data.2769 data.2770
## Min. :-1.6700 Min. :-1.13500 Min. :-1.27000 Min. :-0.9300
## 1st Qu.:-0.7150 1st Qu.:-0.24000 1st Qu.:-0.36500 1st Qu.:-0.2450
## Median : 0.1625 Median : 0.03001 Median :-0.01999 Median :-0.0150
## Mean : 0.1115 Mean : 0.03050 Mean : 0.08475 Mean : 0.1830
## 3rd Qu.: 0.5925 3rd Qu.: 0.21000 3rd Qu.: 0.30250 3rd Qu.: 0.4725
## Max. : 2.1500 Max. : 0.94500 Max. : 1.72500 Max. : 2.7350
## data.2771 data.2772 data.2773 data.2774
## Min. :-1.1500 Min. :-0.93000 Min. :-2.7025 Min. :-1.56500
## 1st Qu.:-0.2325 1st Qu.:-0.40250 1st Qu.:-0.5100 1st Qu.:-0.62500
## Median : 0.0000 Median :-0.04250 Median :-0.0050 Median : 0.03500
## Mean : 0.1080 Mean :-0.02525 Mean :-0.0340 Mean : 0.09975
## 3rd Qu.: 0.2725 3rd Qu.: 0.36000 3rd Qu.: 0.6525 3rd Qu.: 0.60000
## Max. : 2.4550 Max. : 1.62500 Max. : 1.6575 Max. : 1.73500
## data.2775 data.2776 data.2777 data.2778
## Min. :-1.1800 Min. :-0.85996 Min. :-1.3600 Min. :-1.5550
## 1st Qu.:-0.5837 1st Qu.:-0.27498 1st Qu.:-0.4650 1st Qu.:-0.5250
## Median :-0.0750 Median : 0.02501 Median :-0.0300 Median :-0.1300
## Mean :-0.1305 Mean : 0.01527 Mean :-0.0960 Mean :-0.1763
## 3rd Qu.: 0.2950 3rd Qu.: 0.32252 3rd Qu.: 0.2625 3rd Qu.: 0.2175
## Max. : 0.6400 Max. : 0.70002 Max. : 1.4300 Max. : 1.0500
## data.2779 data.2780 data.2781 data.2782
## Min. :-0.720000 Min. :-0.96000 Min. :-1.08001 Min. :-1.0400
## 1st Qu.:-0.185000 1st Qu.:-0.29499 1st Qu.:-0.34251 1st Qu.:-0.3800
## Median :-0.010000 Median :-0.08501 Median :-0.10751 Median :-0.0725
## Mean : 0.001749 Mean :-0.05550 Mean :-0.09501 Mean :-0.1443
## 3rd Qu.: 0.183750 3rd Qu.: 0.15250 3rd Qu.: 0.18249 3rd Qu.: 0.1050
## Max. : 0.880000 Max. : 1.02000 Max. : 1.02999 Max. : 0.8800
## data.2783 data.2784 data.2785 data.2786
## Min. :-1.0525 Min. :-0.90001 Min. :-0.530000 Min. :-1.66000
## 1st Qu.:-0.3925 1st Qu.:-0.36250 1st Qu.:-0.171250 1st Qu.:-0.37000
## Median :-0.0725 Median :-0.06501 Median :-0.040000 Median :-0.02750
## Mean :-0.1262 Mean :-0.05276 Mean :-0.003001 Mean :-0.08813
## 3rd Qu.: 0.1150 3rd Qu.: 0.24249 3rd Qu.: 0.094995 3rd Qu.: 0.23750
## Max. : 1.0375 Max. : 0.73999 Max. : 0.900000 Max. : 1.43500
## data.2787 data.2788 data.2789 data.2790
## Min. :-1.35002 Min. :-0.6650 Min. :-1.440000 Min. :-1.9250
## 1st Qu.:-0.39750 1st Qu.:-0.2750 1st Qu.:-0.465000 1st Qu.:-0.5325
## Median :-0.02000 Median :-0.0250 Median :-0.065010 Median :-0.0400
## Mean :-0.03513 Mean : 0.0215 Mean :-0.005001 Mean :-0.1070
## 3rd Qu.: 0.09750 3rd Qu.: 0.1575 3rd Qu.: 0.352500 3rd Qu.: 0.1825
## Max. : 2.44000 Max. : 2.2550 Max. : 2.320000 Max. : 1.2750
## data.2791 data.2792 data.2793 data.2794
## Min. :-0.84500 Min. :-1.1800 Min. :-0.99498 Min. :-1.0400
## 1st Qu.:-0.28250 1st Qu.:-0.4688 1st Qu.:-0.34500 1st Qu.:-0.3975
## Median :-0.02500 Median :-0.2350 Median :-0.04501 Median :-0.0950
## Mean :-0.03175 Mean :-0.1180 Mean :-0.02875 Mean :-0.0410
## 3rd Qu.: 0.21000 3rd Qu.: 0.1512 3rd Qu.: 0.35750 3rd Qu.: 0.3100
## Max. : 0.92500 Max. : 2.5600 Max. : 1.17500 Max. : 1.5200
## data.2795 data.2796 data.2797 data.2798
## Min. :-0.920000 Min. :-1.990000 Min. :-1.9550 Min. :-0.79996
## 1st Qu.:-0.328750 1st Qu.:-0.421250 1st Qu.:-0.6000 1st Qu.:-0.42246
## Median : 0.010000 Median : 0.010000 Median :-0.0100 Median :-0.16496
## Mean : 0.006498 Mean : 0.002999 Mean :-0.1140 Mean :-0.08071
## 3rd Qu.: 0.322500 3rd Qu.: 0.572500 3rd Qu.: 0.4675 3rd Qu.: 0.12754
## Max. : 1.230000 Max. : 1.400000 Max. : 1.2450 Max. : 0.80002
## data.2799 data.2800 data.2801 data.2802
## Min. :-0.9650 Min. :-1.09998 Min. :-0.90000 Min. :-1.65500
## 1st Qu.:-0.4600 1st Qu.:-0.35000 1st Qu.:-0.20752 1st Qu.:-0.35000
## Median :-0.1200 Median :-0.12000 Median :-0.04002 Median :-0.03999
## Mean :-0.1195 Mean :-0.07525 Mean : 0.05523 Mean :-0.11150
## 3rd Qu.: 0.2250 3rd Qu.: 0.10500 3rd Qu.: 0.30748 3rd Qu.: 0.13750
## Max. : 1.0450 Max. : 1.03000 Max. : 1.14998 Max. : 0.89500
## data.2803 data.2804 data.2805 data.2806
## Min. :-1.5600 Min. :-1.12998 Min. :-0.88998 Min. :-1.03000
## 1st Qu.:-0.2238 1st Qu.:-0.36000 1st Qu.:-0.46750 1st Qu.:-0.26750
## Median :-0.0200 Median :-0.03250 Median :-0.07501 Median : 0.09001
## Mean :-0.1259 Mean :-0.04025 Mean :-0.13925 Mean : 0.04987
## 3rd Qu.: 0.1525 3rd Qu.: 0.26250 3rd Qu.: 0.08250 3rd Qu.: 0.33000
## Max. : 0.6800 Max. : 0.89000 Max. : 0.80000 Max. : 2.05000
## data.2807 data.2808 data.2809 data.2810
## Min. :-1.085 Min. :-1.819980 Min. :-1.55996 Min. :-1.28998
## 1st Qu.:-0.450 1st Qu.:-0.197500 1st Qu.:-0.25248 1st Qu.:-0.41499
## Median :-0.090 Median : 0.000000 Median : 0.00000 Median :-0.07002
## Mean :-0.053 Mean :-0.005627 Mean : 0.02952 Mean :-0.08725
## 3rd Qu.: 0.250 3rd Qu.: 0.157500 3rd Qu.: 0.32752 3rd Qu.: 0.27250
## Max. : 1.015 Max. : 1.220000 Max. : 1.71002 Max. : 1.67000
## data.2811 data.2812 data.2813 data.2814
## Min. :-1.3600 Min. :-1.5600 Min. :-1.2499 Min. :-1.2000
## 1st Qu.:-0.5100 1st Qu.:-0.4100 1st Qu.:-0.6400 1st Qu.:-0.4200
## Median :-0.0450 Median : 0.0000 Median :-0.1900 Median :-0.0950
## Mean :-0.1073 Mean :-0.0655 Mean :-0.2125 Mean :-0.1008
## 3rd Qu.: 0.2175 3rd Qu.: 0.1900 3rd Qu.: 0.1900 3rd Qu.: 0.1950
## Max. : 1.7400 Max. : 1.6000 Max. : 1.0400 Max. : 1.3300
## data.2815 data.2816 data.2817 data.2818
## Min. :-1.1100 Min. :-1.03000 Min. :-0.95500 Min. :-1.1199800
## 1st Qu.:-0.5625 1st Qu.:-0.31750 1st Qu.:-0.36250 1st Qu.:-0.2475000
## Median :-0.1350 Median :-0.06500 Median :-0.09001 Median :-0.0250000
## Mean :-0.1845 Mean :-0.01325 Mean :-0.11200 Mean : 0.0006235
## 3rd Qu.: 0.1650 3rd Qu.: 0.38625 3rd Qu.: 0.15250 3rd Qu.: 0.2125000
## Max. : 0.9400 Max. : 0.96000 Max. : 0.75000 Max. : 1.8100000
## data.2819 data.2820 data.2821 data.2822
## Min. :-1.09498 Min. :-0.9000 Min. :-1.4150 Min. :-0.9300
## 1st Qu.:-0.40500 1st Qu.:-0.5800 1st Qu.:-0.6650 1st Qu.:-0.2800
## Median :-0.13502 Median :-0.1250 Median :-0.0600 Median :-0.0650
## Mean :-0.06625 Mean :-0.1368 Mean :-0.2013 Mean :-0.0375
## 3rd Qu.: 0.25000 3rd Qu.: 0.1650 3rd Qu.: 0.2275 3rd Qu.: 0.2900
## Max. : 1.08500 Max. : 1.2400 Max. : 0.8950 Max. : 0.8300
## data.2823 data.2824 data.2825 data.2826
## Min. :-1.0600 Min. :-0.800000 Min. :-0.925000 Min. :-0.930000
## 1st Qu.:-0.4450 1st Qu.:-0.292505 1st Qu.:-0.280000 1st Qu.:-0.210000
## Median :-0.1300 Median :-0.040000 Median : 0.000000 Median :-0.065000
## Mean :-0.1260 Mean : 0.001123 Mean : 0.000374 Mean :-0.002252
## 3rd Qu.: 0.2437 3rd Qu.: 0.370000 3rd Qu.: 0.300000 3rd Qu.: 0.139990
## Max. : 0.7600 Max. : 0.980000 Max. : 1.585000 Max. : 0.790000
## data.2827 data.2828 data.2829 data.2830
## Min. :-1.02500 Min. :-1.24000 Min. :-0.89500 Min. :-1.04000
## 1st Qu.:-0.36000 1st Qu.:-0.43249 1st Qu.:-0.42250 1st Qu.:-0.32249
## Median : 0.00000 Median :-0.14500 Median :-0.15001 Median : 0.00000
## Mean : 0.05562 Mean :-0.08375 Mean :-0.09675 Mean :-0.02375
## 3rd Qu.: 0.34497 3rd Qu.: 0.16997 3rd Qu.: 0.14750 3rd Qu.: 0.21500
## Max. : 1.85500 Max. : 1.24000 Max. : 1.27498 Max. : 1.21500
## data.2831 data.2832 data.2833 data.2834
## Min. :-1.27000 Min. :-1.74498 Min. :-1.37000 Min. :-1.49498
## 1st Qu.:-0.36250 1st Qu.:-0.58250 1st Qu.:-0.51000 1st Qu.:-0.57000
## Median :-0.08499 Median :-0.05000 Median :-0.04000 Median :-0.03751
## Mean :-0.02400 Mean :-0.06425 Mean :-0.08325 Mean :-0.11250
## 3rd Qu.: 0.33500 3rd Qu.: 0.58000 3rd Qu.: 0.44499 3rd Qu.: 0.29000
## Max. : 1.17500 Max. : 1.57500 Max. : 1.03000 Max. : 1.11500
## data.2835 data.2836 data.2837 data.2838
## Min. :-1.03000 Min. :-1.1150 Min. :-1.2300 Min. :-0.35996
## 1st Qu.:-0.30250 1st Qu.:-0.6050 1st Qu.:-0.4487 1st Qu.:-0.17246
## Median :-0.05000 Median :-0.1450 Median :-0.0600 Median :-0.02496
## Mean : 0.01762 Mean :-0.1595 Mean :-0.1100 Mean :-0.01734
## 3rd Qu.: 0.33250 3rd Qu.: 0.1800 3rd Qu.: 0.1900 3rd Qu.: 0.08254
## Max. : 1.56500 Max. : 1.1650 Max. : 1.0100 Max. : 0.54004
## data.2839 data.2840 data.2841 data.2842
## Min. :-1.07000 Min. :-1.1650 Min. :-0.9900 Min. :-0.84000
## 1st Qu.:-0.37250 1st Qu.:-0.5775 1st Qu.:-0.4200 1st Qu.:-0.43000
## Median :-0.04499 Median :-0.1150 Median :-0.1450 Median :-0.06001
## Mean :-0.03338 Mean :-0.1015 Mean :-0.1558 Mean :-0.10200
## 3rd Qu.: 0.25125 3rd Qu.: 0.1775 3rd Qu.: 0.1325 3rd Qu.: 0.13001
## Max. : 1.25000 Max. : 1.2550 Max. : 1.2800 Max. : 1.39000
## data.2843 data.2844 data.2845 data.2846
## Min. :-0.89502 Min. :-1.3400 Min. :-1.21998 Min. :-1.60496
## 1st Qu.:-0.35502 1st Qu.:-0.5337 1st Qu.:-0.44250 1st Qu.:-0.33375
## Median :-0.06001 Median :-0.1525 Median :-0.07500 Median :-0.07998
## Mean :-0.09977 Mean :-0.1150 Mean :-0.09325 Mean :-0.06023
## 3rd Qu.: 0.05748 3rd Qu.: 0.2075 3rd Qu.: 0.13250 3rd Qu.: 0.21752
## Max. : 0.60998 Max. : 1.0700 Max. : 1.44000 Max. : 1.57502
## data.2847 data.2848 data.2849 data.2850
## Min. :-1.379980 Min. :-1.17998 Min. :-1.16998 Min. :-0.95000
## 1st Qu.:-0.224995 1st Qu.:-0.34250 1st Qu.:-0.37251 1st Qu.:-0.39249
## Median :-0.040000 Median :-0.19000 Median :-0.08000 Median :-0.09499
## Mean : 0.003249 Mean :-0.04075 Mean :-0.07413 Mean :-0.03625
## 3rd Qu.: 0.245000 3rd Qu.: 0.27250 3rd Qu.: 0.05750 3rd Qu.: 0.24500
## Max. : 1.490000 Max. : 1.29000 Max. : 1.16000 Max. : 0.89000
## data.2851 data.2852 data.2853 data.2854
## Min. :-0.82502 Min. :-1.32250 Min. :-1.01000 Min. :-0.8000
## 1st Qu.:-0.22750 1st Qu.:-0.35000 1st Qu.:-0.35250 1st Qu.:-0.2850
## Median :-0.05500 Median :-0.04252 Median :-0.06500 Median :-0.0150
## Mean : 0.01275 Mean :-0.10425 Mean :-0.03325 Mean :-0.0385
## 3rd Qu.: 0.27250 3rd Qu.: 0.09000 3rd Qu.: 0.29250 3rd Qu.: 0.1200
## Max. : 1.11500 Max. : 0.91250 Max. : 0.91000 Max. : 0.9700
## data.2855 data.2856 data.2857 data.2858
## Min. :-0.780010 Min. :-1.34500 Min. :-0.9600 Min. :-0.98501
## 1st Qu.:-0.269990 1st Qu.:-0.52250 1st Qu.:-0.4750 1st Qu.:-0.49001
## Median :-0.054981 Median :-0.09500 Median :-0.0900 Median :-0.10501
## Mean : 0.005383 Mean :-0.08438 Mean :-0.1028 Mean :-0.05126
## 3rd Qu.: 0.212510 3rd Qu.: 0.23750 3rd Qu.: 0.0600 3rd Qu.: 0.33498
## Max. : 2.000010 Max. : 1.38500 Max. : 1.1750 Max. : 1.57499
## data.2859 data.2860 data.2861 data.2862
## Min. :-0.66500 Min. :-0.8450 Min. :-1.3050 Min. :-1.074990
## 1st Qu.:-0.22001 1st Qu.:-0.1812 1st Qu.:-0.3925 1st Qu.:-0.384990
## Median : 0.03000 Median : 0.0250 Median : 0.1000 Median : 0.000000
## Mean : 0.03275 Mean : 0.1585 Mean : 0.1177 Mean : 0.003508
## 3rd Qu.: 0.22500 3rd Qu.: 0.5225 3rd Qu.: 0.6175 3rd Qu.: 0.327510
## Max. : 1.53500 Max. : 1.1750 Max. : 1.6200 Max. : 1.010010
## data.2863 data.2864 data.2865 data.2866
## Min. :-1.00000 Min. :-0.78500 Min. :-0.79001 Min. :-0.81000
## 1st Qu.:-0.28250 1st Qu.:-0.21500 1st Qu.:-0.24001 1st Qu.:-0.21750
## Median :-0.02000 Median :-0.02000 Median :-0.03752 Median :-0.01999
## Mean : 0.03075 Mean : 0.03762 Mean : 0.03674 Mean : 0.02387
## 3rd Qu.: 0.24500 3rd Qu.: 0.22750 3rd Qu.: 0.25249 3rd Qu.: 0.18499
## Max. : 1.29500 Max. : 1.07500 Max. : 0.97999 Max. : 1.18500
## data.2867 data.2868 data.2869 data.2870
## Min. :-0.91000 Min. :-0.88001 Min. :-0.7900 Min. :-1.04000
## 1st Qu.:-0.27500 1st Qu.:-0.52751 1st Qu.:-0.2075 1st Qu.:-0.43001
## Median :-0.01500 Median :-0.11003 Median : 0.0000 Median :-0.11000
## Mean : 0.03212 Mean :-0.04226 Mean : 0.0315 Mean :-0.06875
## 3rd Qu.: 0.19499 3rd Qu.: 0.32499 3rd Qu.: 0.2700 3rd Qu.: 0.25748
## Max. : 1.59000 Max. : 1.33999 Max. : 1.2200 Max. : 1.13000
## data.2871 data.2872 data.2873 data.2874
## Min. :-1.4500 Min. :-1.35000 Min. :-0.72748 Min. :-1.0850
## 1st Qu.:-0.3625 1st Qu.:-0.18250 1st Qu.:-0.29750 1st Qu.:-0.3050
## Median :-0.0050 Median :-0.05499 Median :-0.10750 Median :-0.0700
## Mean :-0.1100 Mean :-0.01125 Mean :-0.04125 Mean :-0.0100
## 3rd Qu.: 0.0575 3rd Qu.: 0.16500 3rd Qu.: 0.26500 3rd Qu.: 0.3575
## Max. : 1.6600 Max. : 1.67000 Max. : 0.58250 Max. : 1.1900
## data.2875 data.2876 data.2877 data.2878
## Min. :-1.53000 Min. :-0.76500 Min. :-0.8999805 Min. :-2.19000
## 1st Qu.:-0.16750 1st Qu.:-0.32500 1st Qu.:-0.2274805 1st Qu.:-0.58500
## Median :-0.01000 Median :-0.02000 Median :-0.0299805 Median :-0.00500
## Mean :-0.02775 Mean :-0.03725 Mean :-0.0003574 Mean :-0.04575
## 3rd Qu.: 0.22750 3rd Qu.: 0.24374 3rd Qu.: 0.2775195 3rd Qu.: 0.26500
## Max. : 0.82000 Max. : 1.08498 Max. : 1.2000200 Max. : 3.16000
## data.2879 data.2880 data.2881 data.2882
## Min. :-2.89499 Min. :-1.30000 Min. :-1.0300000 Min. :-0.9900
## 1st Qu.:-0.74249 1st Qu.:-0.20750 1st Qu.:-0.3675000 1st Qu.:-0.3550
## Median :-0.07499 Median : 0.00000 Median :-0.0000195 Median :-0.1625
## Mean :-0.08349 Mean :-0.07138 Mean :-0.1086265 Mean :-0.0805
## 3rd Qu.: 0.26751 3rd Qu.: 0.20497 3rd Qu.: 0.1725000 3rd Qu.: 0.2500
## Max. : 3.38501 Max. : 0.76000 Max. : 0.4599805 Max. : 0.7200
## data.2883 data.2884 data.2885 data.2886
## Min. :-0.95000 Min. :-1.2900 Min. :-1.34000 Min. :-2.9900
## 1st Qu.:-0.27500 1st Qu.:-0.5650 1st Qu.:-0.57999 1st Qu.:-0.9550
## Median : 0.00000 Median :-0.1350 Median :-0.09000 Median :-0.2325
## Mean : 0.01175 Mean :-0.1838 Mean :-0.02163 Mean :-0.3885
## 3rd Qu.: 0.33625 3rd Qu.: 0.1050 3rd Qu.: 0.40125 3rd Qu.: 0.2100
## Max. : 0.82500 Max. : 0.7200 Max. : 2.39000 Max. : 1.8900
## data.2887 data.2888 data.2889 data.2890
## Min. :-3.0900 Min. :-1.1950 Min. :-0.55000 Min. :-2.1300
## 1st Qu.:-0.4500 1st Qu.:-0.6300 1st Qu.:-0.31500 1st Qu.:-0.4450
## Median :-0.0850 Median :-0.2750 Median :-0.08000 Median : 0.0000
## Mean :-0.1600 Mean :-0.0975 Mean :-0.03438 Mean :-0.1546
## 3rd Qu.: 0.2025 3rd Qu.: 0.3725 3rd Qu.: 0.17750 3rd Qu.: 0.1925
## Max. : 0.7850 Max. : 1.5000 Max. : 0.76000 Max. : 0.8200
## data.2891 data.2892 data.2893 data.2894
## Min. :-0.82500 Min. :-1.580000 Min. :-0.75500 Min. :-1.305000
## 1st Qu.:-0.27750 1st Qu.:-0.240000 1st Qu.:-0.21250 1st Qu.:-0.222500
## Median :-0.02752 Median :-0.035000 Median :-0.01000 Median :-0.025020
## Mean : 0.02000 Mean : 0.008623 Mean : 0.03125 Mean :-0.003501
## 3rd Qu.: 0.23500 3rd Qu.: 0.262500 3rd Qu.: 0.23500 3rd Qu.: 0.347500
## Max. : 1.09000 Max. : 1.690000 Max. : 1.03000 Max. : 0.914980
## data.2895 data.2896 data.2897 data.2898
## Min. :-0.54001 Min. :-1.2325 Min. :-0.70000 Min. :-1.0200
## 1st Qu.:-0.15251 1st Qu.:-0.4250 1st Qu.:-0.17250 1st Qu.:-0.4075
## Median : 0.05998 Median : 0.0000 Median :-0.01000 Median : 0.0650
## Mean : 0.10661 Mean :-0.0235 Mean : 0.05012 Mean : 0.0435
## 3rd Qu.: 0.39249 3rd Qu.: 0.3500 3rd Qu.: 0.22750 3rd Qu.: 0.5300
## Max. : 0.96999 Max. : 2.2275 Max. : 1.67000 Max. : 1.5100
## data.2899 data.2900 data.2901 data.2902
## Min. :-0.85000 Min. :-0.91498 Min. :-0.7350 Min. :-0.490000
## 1st Qu.:-0.33125 1st Qu.:-0.34998 1st Qu.:-0.1075 1st Qu.:-0.300000
## Median : 0.00500 Median :-0.02000 Median : 0.1300 Median :-0.030000
## Mean : 0.03425 Mean : 0.04077 Mean : 0.1634 Mean :-0.002001
## 3rd Qu.: 0.35000 3rd Qu.: 0.28752 3rd Qu.: 0.3075 3rd Qu.: 0.197500
## Max. : 1.84000 Max. : 2.40502 Max. : 2.1750 Max. : 0.950020
## data.2903 data.2904 data.2905 data.2906
## Min. :-0.81000 Min. :-0.82002 Min. :-0.56000 Min. :-0.755000
## 1st Qu.:-0.27500 1st Qu.:-0.24502 1st Qu.:-0.17753 1st Qu.:-0.237500
## Median : 0.00000 Median :-0.01501 Median : 0.00000 Median : 0.010000
## Mean :-0.05738 Mean :-0.05065 Mean : 0.07137 Mean : 0.002498
## 3rd Qu.: 0.08501 3rd Qu.: 0.11997 3rd Qu.: 0.24750 3rd Qu.: 0.105000
## Max. : 1.32000 Max. : 0.71998 Max. : 1.62000 Max. : 1.245000
## data.2907 data.2908 data.2909
## Min. :-1.100000 Min. :-0.79500 Min. :-0.550000
## 1st Qu.:-0.154995 1st Qu.:-0.24750 1st Qu.:-0.271250
## Median : 0.010000 Median : 0.00000 Median : 0.020000
## Mean : 0.006874 Mean : 0.04387 Mean :-0.001502
## 3rd Qu.: 0.192500 3rd Qu.: 0.22875 3rd Qu.: 0.237505
## Max. : 0.770000 Max. : 1.02500 Max. : 0.620000
## data.2910 data.2911 data.2912 data.2913
## Min. :-0.4100000 Min. :-0.91000 Min. :-0.4350 Min. :-0.800019
## 1st Qu.:-0.1400000 1st Qu.:-0.29375 1st Qu.:-0.1875 1st Qu.:-0.165000
## Median :-0.0000098 Median :-0.03000 Median : 0.0250 Median : 0.000000
## Mean : 0.0994985 Mean :-0.05075 Mean : 0.0195 Mean : 0.008998
## 3rd Qu.: 0.2775000 3rd Qu.: 0.17000 3rd Qu.: 0.2300 3rd Qu.: 0.176245
## Max. : 0.9900000 Max. : 0.54002 Max. : 0.5250 Max. : 0.810000
## data.2914 data.2915 data.2916 data.2917
## Min. :-0.93999 Min. :-0.9750195 Min. :-1.23000 Min. :-0.61000
## 1st Qu.:-0.11499 1st Qu.:-0.2325000 1st Qu.:-0.33250 1st Qu.:-0.23000
## Median : 0.01500 Median : 0.0000000 Median : 0.06248 Median :-0.05250
## Mean : 0.03726 Mean : 0.0007485 Mean :-0.04700 Mean :-0.01475
## 3rd Qu.: 0.26001 3rd Qu.: 0.2350000 3rd Qu.: 0.22250 3rd Qu.: 0.17499
## Max. : 1.00001 Max. : 1.0950000 Max. : 0.90000 Max. : 0.67000
## data.2918 data.2919 data.2920 data.2921
## Min. :-1.2625 Min. :-0.630019 Min. :-0.890 Min. :-1.00500
## 1st Qu.:-0.3375 1st Qu.:-0.245024 1st Qu.:-0.290 1st Qu.:-0.20749
## Median :-0.0625 Median :-0.035010 Median :-0.020 Median :-0.06000
## Mean :-0.1333 Mean :-0.008519 Mean :-0.018 Mean :-0.02025
## 3rd Qu.: 0.2000 3rd Qu.: 0.157480 3rd Qu.: 0.285 3rd Qu.: 0.21750
## Max. : 0.5475 Max. : 0.854981 Max. : 0.830 Max. : 0.92500
## data.2922 data.2923 data.2924 data.2925
## Min. :-0.810000 Min. :-1.06000 Min. :-1.24000 Min. :-0.99000
## 1st Qu.:-0.255000 1st Qu.:-0.23500 1st Qu.:-0.32500 1st Qu.:-0.25000
## Median : 0.025000 Median : 0.00000 Median :-0.00500 Median : 0.01500
## Mean : 0.002874 Mean :-0.02275 Mean :-0.06850 Mean :-0.02188
## 3rd Qu.: 0.226250 3rd Qu.: 0.17500 3rd Qu.: 0.09875 3rd Qu.: 0.18250
## Max. : 0.770000 Max. : 1.02000 Max. : 0.95000 Max. : 0.77998
## data.2926 data.2927 data.2928
## Min. :-1.245020 Min. :-0.3850000 Min. :-0.46001
## 1st Qu.:-0.287500 1st Qu.:-0.1875000 1st Qu.:-0.16501
## Median : 0.054981 Median : 0.0000098 Median :-0.02501
## Mean : 0.004124 Mean : 0.0247485 Mean : 0.05049
## 3rd Qu.: 0.337485 3rd Qu.: 0.1912451 3rd Qu.: 0.26499
## Max. : 0.735000 Max. : 1.3650000 Max. : 1.19999
## data.2929 data.2930 data.2931 data.2932
## Min. :-0.960000 Min. :-0.4300 Min. :-0.76000 Min. :-0.89500
## 1st Qu.:-0.255000 1st Qu.:-0.1175 1st Qu.:-0.29000 1st Qu.:-0.31000
## Median :-0.117500 Median :-0.0050 Median :-0.02000 Median : 0.03750
## Mean : 0.001623 Mean : 0.0470 Mean : 0.04775 Mean : 0.02062
## 3rd Qu.: 0.247500 3rd Qu.: 0.2013 3rd Qu.: 0.29250 3rd Qu.: 0.41500
## Max. : 1.520000 Max. : 0.7300 Max. : 1.31000 Max. : 0.79500
## data.2933 data.2934 data.2935 data.2936
## Min. :-0.8400 Min. :-0.6650 Min. :-0.834990 Min. :-0.620019
## 1st Qu.:-0.3550 1st Qu.:-0.2550 1st Qu.:-0.254990 1st Qu.:-0.262500
## Median : 0.0050 Median :-0.0450 Median :-0.090000 Median :-0.015000
## Mean :-0.0690 Mean :-0.0790 Mean : 0.007508 Mean : 0.006498
## 3rd Qu.: 0.1425 3rd Qu.: 0.1175 3rd Qu.: 0.360010 3rd Qu.: 0.285000
## Max. : 0.6600 Max. : 0.6450 Max. : 0.900010 Max. : 0.899980
## data.2937 data.2938 data.2939 data.2940
## Min. :-1.06000 Min. :-0.64998 Min. :-0.5200 Min. :-1.5300
## 1st Qu.:-0.28250 1st Qu.:-0.20748 1st Qu.:-0.3025 1st Qu.:-0.3525
## Median :-0.03000 Median :-0.02998 Median :-0.0400 Median :-0.0800
## Mean :-0.05863 Mean :-0.05936 Mean :-0.0145 Mean :-0.1329
## 3rd Qu.: 0.22999 3rd Qu.: 0.15002 3rd Qu.: 0.2250 3rd Qu.: 0.1250
## Max. : 0.71000 Max. : 0.81002 Max. : 0.9200 Max. : 0.6500
## data.2941 data.2942 data.2943 data.2944
## Min. :-0.87500 Min. :-0.60996 Min. :-0.849981 Min. :-2.1100
## 1st Qu.:-0.24500 1st Qu.:-0.18996 1st Qu.:-0.254980 1st Qu.:-0.8100
## Median :-0.04501 Median :-0.02998 Median : 0.000000 Median : 0.0000
## Mean : 0.02137 Mean : 0.03029 Mean :-0.007482 Mean :-0.1491
## 3rd Qu.: 0.22500 3rd Qu.: 0.20379 3rd Qu.: 0.177519 3rd Qu.: 0.2325
## Max. : 1.62500 Max. : 1.36004 Max. : 0.920019 Max. : 1.6800
## data.2945 data.2946 data.2947 data.2948
## Min. :-0.68000 Min. :-0.93499 Min. :-1.47499 Min. :-0.58000
## 1st Qu.:-0.27250 1st Qu.:-0.33124 1st Qu.:-0.46750 1st Qu.:-0.32000
## Median :-0.05000 Median :-0.06999 Median :-0.11000 Median :-0.01000
## Mean :-0.05725 Mean :-0.10324 Mean :-0.06637 Mean :-0.03925
## 3rd Qu.: 0.15750 3rd Qu.: 0.06751 3rd Qu.: 0.40001 3rd Qu.: 0.12749
## Max. : 0.78000 Max. : 1.37501 Max. : 1.19501 Max. : 0.71000
## data.2949 data.2950 data.2951 data.2952
## Min. :-1.81500 Min. :-0.8000 Min. :-0.55000 Min. :-1.01000
## 1st Qu.:-0.38500 1st Qu.:-0.2400 1st Qu.:-0.23000 1st Qu.:-0.30500
## Median :-0.02500 Median : 0.0000 Median :-0.04500 Median :-0.11000
## Mean :-0.06663 Mean : 0.0235 Mean :-0.04938 Mean :-0.09413
## 3rd Qu.: 0.34000 3rd Qu.: 0.2250 3rd Qu.: 0.08000 3rd Qu.: 0.15750
## Max. : 1.49500 Max. : 1.0800 Max. : 0.69000 Max. : 1.09000
## data.2953 data.2954 data.2955 data.2956
## Min. :-0.98998 Min. :-0.9600 Min. :-0.820000 Min. :-0.73248
## 1st Qu.:-0.25998 1st Qu.:-0.3125 1st Qu.:-0.212500 1st Qu.:-0.24998
## Median :-0.09498 Median :-0.1400 Median :-0.020000 Median :-0.01750
## Mean :-0.08873 Mean :-0.0380 Mean : 0.003999 Mean :-0.01798
## 3rd Qu.: 0.07752 3rd Qu.: 0.1812 3rd Qu.: 0.190000 3rd Qu.: 0.15752
## Max. : 0.84502 Max. : 1.2400 Max. : 0.835000 Max. : 0.79752
## data.2957 data.2958 data.2959 data.2960
## Min. :-1.24000 Min. :-1.23500 Min. :-1.07000 Min. :-0.91004
## 1st Qu.:-0.44250 1st Qu.:-0.39750 1st Qu.:-0.33749 1st Qu.:-0.26752
## Median :-0.04000 Median :-0.08999 Median : 0.00000 Median :-0.08002
## Mean :-0.09238 Mean : 0.05400 Mean : 0.01387 Mean :-0.05489
## 3rd Qu.: 0.15001 3rd Qu.: 0.50747 3rd Qu.: 0.35249 3rd Qu.: 0.17248
## Max. : 0.91000 Max. : 1.92500 Max. : 1.46000 Max. : 0.57998
## data.2961 data.2962 data.2963 data.2964
## Min. :-1.1850 Min. :-0.814990 Min. :-0.98000 Min. :-0.82000
## 1st Qu.:-0.4750 1st Qu.:-0.209990 1st Qu.:-0.40750 1st Qu.:-0.31000
## Median :-0.2500 Median :-0.002505 Median :-0.05499 Median :-0.04000
## Mean :-0.1405 Mean : 0.003633 Mean :-0.05813 Mean :-0.07413
## 3rd Qu.: 0.2775 3rd Qu.: 0.237510 3rd Qu.: 0.19000 3rd Qu.: 0.13500
## Max. : 0.7550 Max. : 0.735010 Max. : 1.01000 Max. : 0.80000
## data.2965 data.2966 data.2967 data.2968
## Min. :-1.54000 Min. :-1.72500 Min. :-0.47002 Min. :-1.3600
## 1st Qu.:-0.28625 1st Qu.:-0.47251 1st Qu.:-0.22252 1st Qu.:-0.4750
## Median :-0.01500 Median :-0.05502 Median : 0.00000 Median :-0.0750
## Mean : 0.01412 Mean :-0.07425 Mean : 0.01286 Mean :-0.1176
## 3rd Qu.: 0.27500 3rd Qu.: 0.27500 3rd Qu.: 0.20998 3rd Qu.: 0.3375
## Max. : 1.64000 Max. : 1.15500 Max. : 0.69998 Max. : 0.9500
## data.2969 data.2970 data.2971 data.2972
## Min. :-2.0000 Min. :-0.9100 Min. :-1.6200 Min. :-2.7100000
## 1st Qu.:-0.5425 1st Qu.:-0.4200 1st Qu.:-0.4975 1st Qu.:-0.3375000
## Median :-0.1500 Median :-0.0650 Median : 0.0000 Median :-0.0000195
## Mean :-0.1045 Mean :-0.1209 Mean :-0.0345 Mean :-0.0837515
## 3rd Qu.: 0.2275 3rd Qu.: 0.1100 3rd Qu.: 0.3550 3rd Qu.: 0.3000000
## Max. : 1.0500 Max. : 0.5400 Max. : 1.3400 Max. : 1.2600000
## data.2973 data.2974 data.2975 data.2976
## Min. :-4.3950 Min. :-1.8500 Min. :-1.57002 Min. :-0.9950
## 1st Qu.:-0.4975 1st Qu.:-0.4025 1st Qu.:-0.25002 1st Qu.:-0.4300
## Median :-0.1100 Median :-0.0500 Median :-0.01000 Median :-0.0400
## Mean :-0.2240 Mean :-0.1269 Mean :-0.02013 Mean :-0.1489
## 3rd Qu.: 0.2100 3rd Qu.: 0.2700 3rd Qu.: 0.38751 3rd Qu.: 0.1875
## Max. : 1.4650 Max. : 0.7800 Max. : 1.18000 Max. : 0.4850
## data.2977 data.2978 data.2979 data.2980
## Min. :-1.3500 Min. :-1.125000 Min. :-0.93500 Min. :-1.28000
## 1st Qu.:-0.3350 1st Qu.:-0.457500 1st Qu.:-0.34750 1st Qu.:-0.52250
## Median :-0.0375 Median :-0.010000 Median :-0.00250 Median :-0.17000
## Mean :-0.0820 Mean :-0.008626 Mean :-0.07625 Mean :-0.23075
## 3rd Qu.: 0.1400 3rd Qu.: 0.413750 3rd Qu.: 0.17500 3rd Qu.: 0.07125
## Max. : 1.2800 Max. : 1.515020 Max. : 1.15500 Max. : 0.79998
## data.2981 data.2982 data.2983 data.2984
## Min. :-1.43002 Min. :-1.5700 Min. :-2.6900 Min. :-2.2550
## 1st Qu.:-0.39253 1st Qu.:-0.5050 1st Qu.:-0.4325 1st Qu.:-0.7350
## Median :-0.01502 Median :-0.0275 Median :-0.1025 Median :-0.2900
## Mean :-0.10502 Mean :-0.0820 Mean :-0.2273 Mean :-0.2881
## 3rd Qu.: 0.16248 3rd Qu.: 0.3350 3rd Qu.: 0.2725 3rd Qu.: 0.2125
## Max. : 0.70000 Max. : 1.2800 Max. : 0.8600 Max. : 2.1350
## data.2985 data.2986 data.2987 data.2988
## Min. :-2.8650 Min. :-1.5700 Min. :-1.14500 Min. :-1.6350
## 1st Qu.:-0.7625 1st Qu.:-0.5000 1st Qu.:-0.23500 1st Qu.:-0.6700
## Median :-0.2100 Median : 0.0000 Median :-0.05002 Median :-0.1700
## Mean :-0.3268 Mean :-0.1491 Mean :-0.04825 Mean :-0.2821
## 3rd Qu.: 0.2737 3rd Qu.: 0.0325 3rd Qu.: 0.18250 3rd Qu.: 0.0550
## Max. : 1.6650 Max. : 1.5300 Max. : 1.52500 Max. : 1.1650
## data.2989 data.2990 data.2991 data.2992
## Min. :-1.32000 Min. :-0.8000 Min. :-0.7200 Min. :-0.90500
## 1st Qu.:-0.33500 1st Qu.:-0.4000 1st Qu.:-0.3225 1st Qu.:-0.13000
## Median :-0.00500 Median : 0.0450 Median : 0.0100 Median : 0.04000
## Mean :-0.09325 Mean :-0.0300 Mean :-0.0275 Mean : 0.07312
## 3rd Qu.: 0.13249 3rd Qu.: 0.2325 3rd Qu.: 0.2350 3rd Qu.: 0.30999
## Max. : 0.70000 Max. : 0.8200 Max. : 0.7300 Max. : 0.90500
## data.2993 data.2994 data.2995 data.2996
## Min. :-0.9650 Min. :-0.9400 Min. :-1.35000 Min. :-1.36500
## 1st Qu.:-0.3300 1st Qu.:-0.2425 1st Qu.:-0.35750 1st Qu.:-0.24250
## Median : 0.0450 Median : 0.0000 Median :-0.01501 Median :-0.01999
## Mean : 0.1719 Mean :-0.0440 Mean :-0.06325 Mean :-0.02475
## 3rd Qu.: 0.5525 3rd Qu.: 0.2125 3rd Qu.: 0.20750 3rd Qu.: 0.24750
## Max. : 2.0250 Max. : 1.1700 Max. : 0.88000 Max. : 1.06000
## data.2997 data.2998 data.2999 data.3000
## Min. :-1.08002 Min. :-2.7150 Min. :-0.9900 Min. :-0.7400
## 1st Qu.:-0.28000 1st Qu.:-0.4825 1st Qu.:-0.4213 1st Qu.:-0.1675
## Median :-0.06500 Median :-0.0250 Median :-0.0550 Median : 0.0000
## Mean :-0.07888 Mean :-0.1069 Mean :-0.0560 Mean : 0.0065
## 3rd Qu.: 0.13500 3rd Qu.: 0.3325 3rd Qu.: 0.2150 3rd Qu.: 0.1400
## Max. : 0.70000 Max. : 2.3750 Max. : 1.0800 Max. : 0.8200
## data.3001 data.3002 data.3003 data.3004
## Min. :-0.66498 Min. :-1.019990 Min. :-0.91500 Min. :-1.11000
## 1st Qu.:-0.32248 1st Qu.:-0.314995 1st Qu.:-0.26250 1st Qu.:-0.33753
## Median :-0.08998 Median :-0.024990 Median : 0.00000 Median :-0.00499
## Mean :-0.04748 Mean :-0.004617 Mean : 0.01225 Mean :-0.04150
## 3rd Qu.: 0.22502 3rd Qu.: 0.367510 3rd Qu.: 0.22375 3rd Qu.: 0.25499
## Max. : 0.70002 Max. : 1.115010 Max. : 1.22500 Max. : 1.13000
## data.3005 data.3006 data.3007 data.3008
## Min. :-0.92000 Min. :-1.03000 Min. :-0.66000 Min. :-0.94000
## 1st Qu.:-0.44375 1st Qu.:-0.43250 1st Qu.:-0.27000 1st Qu.:-0.39500
## Median :-0.04000 Median :-0.02000 Median :-0.03000 Median :-0.07499
## Mean :-0.07575 Mean :-0.07975 Mean :-0.01825 Mean :-0.05488
## 3rd Qu.: 0.19750 3rd Qu.: 0.29500 3rd Qu.: 0.15501 3rd Qu.: 0.14000
## Max. : 1.21000 Max. : 1.25000 Max. : 0.88000 Max. : 2.33000
## data.3009 data.3010 data.3011 data.3012
## Min. :-0.77501 Min. :-1.15500 Min. :-0.72500 Min. :-1.09000
## 1st Qu.:-0.35001 1st Qu.:-0.26750 1st Qu.:-0.34001 1st Qu.:-0.36750
## Median :-0.05500 Median :-0.03501 Median :-0.00500 Median : 0.00500
## Mean :-0.05164 Mean :-0.01300 Mean : 0.01225 Mean :-0.05638
## 3rd Qu.: 0.21999 3rd Qu.: 0.16749 3rd Qu.: 0.32999 3rd Qu.: 0.22750
## Max. : 1.08499 Max. : 1.14500 Max. : 1.00000 Max. : 1.12000
## data.3013 data.3014 data.3015 data.3016
## Min. :-0.91000 Min. :-1.3500 Min. :-1.24502 Min. :-1.270000
## 1st Qu.:-0.30500 1st Qu.:-0.4375 1st Qu.:-0.43502 1st Qu.:-0.402500
## Median :-0.02001 Median :-0.1400 Median :-0.01504 Median :-0.077500
## Mean : 0.02300 Mean :-0.0850 Mean :-0.06027 Mean : 0.006749
## 3rd Qu.: 0.23250 3rd Qu.: 0.1625 3rd Qu.: 0.27123 3rd Qu.: 0.112500
## Max. : 1.31000 Max. : 1.9900 Max. : 1.72998 Max. : 2.870000
## data.3017 data.3018 data.3019 data.3020
## Min. :-1.45000 Min. :-0.89500 Min. :-2.38500 Min. :-1.20501
## 1st Qu.:-0.46000 1st Qu.:-0.48000 1st Qu.:-0.41625 1st Qu.:-0.40999
## Median :-0.15500 Median :-0.06501 Median :-0.11499 Median :-0.05499
## Mean :-0.03925 Mean :-0.02550 Mean :-0.05525 Mean :-0.04924
## 3rd Qu.: 0.19500 3rd Qu.: 0.28500 3rd Qu.: 0.24500 3rd Qu.: 0.17876
## Max. : 2.70998 Max. : 1.66498 Max. : 2.22498 Max. : 1.92499
## data.3021 data.3022 data.3023 data.3024
## Min. :-0.9075 Min. :-1.040000 Min. :-1.29002 Min. :-2.29998
## 1st Qu.:-0.3400 1st Qu.:-0.284995 1st Qu.:-0.40502 1st Qu.:-0.68248
## Median :-0.0675 Median :-0.095010 Median :-0.08002 Median :-0.11000
## Mean :-0.0490 Mean :-0.002752 Mean : 0.22298 Mean :-0.07873
## 3rd Qu.: 0.1350 3rd Qu.: 0.307500 3rd Qu.: 0.79998 3rd Qu.: 0.50752
## Max. : 1.7025 Max. : 1.170000 Max. : 2.89998 Max. : 2.45002
## data.3025 data.3026 data.3027 data.3028
## Min. :-1.49000 Min. :-0.78000 Min. :-1.030000 Min. :-0.59998
## 1st Qu.:-0.31000 1st Qu.:-0.18000 1st Qu.:-0.250000 1st Qu.:-0.29498
## Median :-0.08499 Median :-0.02000 Median :-0.045000 Median :-0.05498
## Mean :-0.05300 Mean : 0.05537 Mean : 0.001749 Mean :-0.07448
## 3rd Qu.: 0.23250 3rd Qu.: 0.14250 3rd Qu.: 0.309985 3rd Qu.: 0.12252
## Max. : 1.09000 Max. : 1.17000 Max. : 0.930000 Max. : 0.57002
## data.3029 data.3030 data.3031 data.3032
## Min. :-0.70000 Min. :-2.5000 Min. :-1.150000 Min. :-0.840000
## 1st Qu.:-0.14499 1st Qu.:-1.4212 1st Qu.:-0.250000 1st Qu.:-0.317505
## Median :-0.00500 Median :-0.3050 Median : 0.034980 Median : 0.020000
## Mean :-0.03413 Mean :-0.4737 Mean :-0.001626 Mean : 0.006249
## 3rd Qu.: 0.07375 3rd Qu.: 0.1650 3rd Qu.: 0.280005 3rd Qu.: 0.317471
## Max. : 0.79000 Max. : 2.5100 Max. : 1.010000 Max. : 1.010020
## data.3033 data.3034 data.3035 data.3036
## Min. :-0.86501 Min. :-4.2800 Min. :-0.895 Min. :-1.0800
## 1st Qu.:-0.35751 1st Qu.:-1.4350 1st Qu.:-0.430 1st Qu.:-0.6663
## Median :-0.08001 Median :-0.5500 Median : 0.000 Median :-0.1100
## Mean :-0.02726 Mean :-0.7308 Mean :-0.050 Mean :-0.1025
## 3rd Qu.: 0.29996 3rd Qu.: 0.4325 3rd Qu.: 0.265 3rd Qu.: 0.4550
## Max. : 0.89499 Max. : 1.5200 Max. : 0.930 Max. : 0.8600
## data.3037 data.3038 data.3039 data.3040
## Min. :-2.12500 Min. :-1.2250 Min. :-1.03000 Min. :-0.830000
## 1st Qu.:-0.24250 1st Qu.:-0.2638 1st Qu.:-0.24000 1st Qu.:-0.219985
## Median :-0.00500 Median : 0.0000 Median : 0.03001 Median :-0.005019
## Mean :-0.02863 Mean : 0.0730 Mean : 0.05275 Mean :-0.028001
## 3rd Qu.: 0.16250 3rd Qu.: 0.3150 3rd Qu.: 0.27625 3rd Qu.: 0.127495
## Max. : 1.34500 Max. : 1.8150 Max. : 1.54998 Max. : 0.860000
## data.3041 data.3042 data.3043 data.3044
## Min. :-1.0750 Min. :-0.9400 Min. :-1.42498 Min. :-0.665000
## 1st Qu.:-0.3975 1st Qu.:-0.3925 1st Qu.:-0.25750 1st Qu.:-0.242500
## Median : 0.0000 Median :-0.0350 Median :-0.01499 Median :-0.015000
## Mean :-0.0775 Mean :-0.0670 Mean :-0.01598 Mean :-0.002752
## 3rd Qu.: 0.2500 3rd Qu.: 0.2700 3rd Qu.: 0.32502 3rd Qu.: 0.167500
## Max. : 0.7350 Max. : 0.7700 Max. : 1.16502 Max. : 1.065000
## data.3045 data.3046 data.3047 data.3048
## Min. :-1.5800 Min. :-1.57000 Min. :-1.65998 Min. :-1.12000
## 1st Qu.:-0.4988 1st Qu.:-0.44626 1st Qu.:-0.40748 1st Qu.:-0.38500
## Median :-0.0100 Median :-0.04000 Median :-0.05000 Median : 0.06000
## Mean : 0.0125 Mean :-0.06625 Mean :-0.06598 Mean : 0.05275
## 3rd Qu.: 0.3262 3rd Qu.: 0.39000 3rd Qu.: 0.20252 3rd Qu.: 0.39000
## Max. : 2.2400 Max. : 2.09000 Max. : 1.59002 Max. : 1.19000
## data.3049 data.3050 data.3051 data.3052
## Min. :-1.5400 Min. :-2.0700 Min. :-0.75501 Min. :-1.1000
## 1st Qu.:-0.4725 1st Qu.:-0.7188 1st Qu.:-0.35002 1st Qu.:-0.5750
## Median :-0.1100 Median :-0.1100 Median :-0.14753 Median :-0.1225
## Mean :-0.1198 Mean :-0.2480 Mean :-0.09839 Mean :-0.1555
## 3rd Qu.: 0.3425 3rd Qu.: 0.1650 3rd Qu.: 0.14749 3rd Qu.: 0.2300
## Max. : 0.9100 Max. : 0.8700 Max. : 0.74499 Max. : 1.0100
## data.3053 data.3054 data.3055 data.3056
## Min. :-1.14000 Min. :-0.7400 Min. :-1.07000 Min. :-1.325000
## 1st Qu.:-0.33875 1st Qu.:-0.2600 1st Qu.:-0.41375 1st Qu.:-0.425000
## Median :-0.04500 Median : 0.0000 Median :-0.04999 Median : 0.047500
## Mean :-0.05775 Mean :-0.0215 Mean :-0.06925 Mean : 0.001123
## 3rd Qu.: 0.23500 3rd Qu.: 0.1425 3rd Qu.: 0.28000 3rd Qu.: 0.399985
## Max. : 0.93000 Max. : 0.7700 Max. : 1.06000 Max. : 1.055000
## data.3057 data.3058 data.3059 data.3060
## Min. :-1.40501 Min. :-1.9100 Min. :-1.105000 Min. :-3.3700
## 1st Qu.:-0.39751 1st Qu.:-0.1575 1st Qu.:-0.247515 1st Qu.:-0.3075
## Median :-0.06001 Median :-0.0100 Median :-0.050000 Median :-0.0350
## Mean :-0.04789 Mean : 0.0510 Mean :-0.006502 Mean :-0.3090
## 3rd Qu.: 0.28499 3rd Qu.: 0.3825 3rd Qu.: 0.226250 3rd Qu.: 0.1325
## Max. : 1.05499 Max. : 2.3900 Max. : 1.255020 Max. : 0.4400
## data.3061 data.3062 data.3063 data.3064
## Min. :-1.66500 Min. :-1.03000 Min. :-1.09499 Min. :-0.96998
## 1st Qu.:-0.36750 1st Qu.:-0.36250 1st Qu.:-0.24499 1st Qu.:-0.33498
## Median : 0.01250 Median : 0.05501 Median : 0.00000 Median :-0.00499
## Mean :-0.05125 Mean :-0.05550 Mean : 0.01226 Mean : 0.05789
## 3rd Qu.: 0.34247 3rd Qu.: 0.21750 3rd Qu.: 0.25501 3rd Qu.: 0.33002
## Max. : 1.39502 Max. : 0.99000 Max. : 1.09501 Max. : 1.64002
## data.3065 data.3066 data.3067 data.3068
## Min. :-1.160000 Min. :-2.31000 Min. :-1.420000 Min. :-2.1350
## 1st Qu.:-0.345000 1st Qu.:-0.19500 1st Qu.:-0.294985 1st Qu.:-0.7150
## Median :-0.105000 Median : 0.02500 Median : 0.010000 Median : 0.0925
## Mean : 0.005749 Mean : 0.04687 Mean :-0.008752 Mean :-0.0270
## 3rd Qu.: 0.408750 3rd Qu.: 0.42750 3rd Qu.: 0.285000 3rd Qu.: 0.4625
## Max. : 0.990000 Max. : 1.53998 Max. : 2.210000 Max. : 1.9550
## data.3069 data.3070 data.3071 data.3072
## Min. :-2.150000 Min. :-1.0000 Min. :-1.03250 Min. :-0.87501
## 1st Qu.:-0.395000 1st Qu.:-0.4600 1st Qu.:-0.31998 1st Qu.:-0.14501
## Median : 0.000000 Median :-0.0825 Median : 0.00000 Median : 0.04499
## Mean :-0.009002 Mean :-0.1078 Mean :-0.07913 Mean : 0.11749
## 3rd Qu.: 0.280000 3rd Qu.: 0.2612 3rd Qu.: 0.25497 3rd Qu.: 0.40499
## Max. : 1.460000 Max. : 0.8100 Max. : 0.91750 Max. : 1.18999
## data.3073 data.3074 data.3075 data.3076
## Min. :-0.75500 Min. :-1.5100 Min. :-1.190020 Min. :-0.8400000
## 1st Qu.:-0.40999 1st Qu.:-0.2425 1st Qu.:-0.465000 1st Qu.:-0.1037500
## Median : 0.00000 Median : 0.0050 Median : 0.000000 Median : 0.0000098
## Mean :-0.05238 Mean : 0.1277 Mean : 0.007749 Mean : 0.0932485
## 3rd Qu.: 0.23750 3rd Qu.: 0.2950 3rd Qu.: 0.512471 3rd Qu.: 0.3424951
## Max. : 1.07000 Max. : 2.7200 Max. : 1.160000 Max. : 1.1200000
## data.3077 data.3078 data.3079 data.3080
## Min. :-1.26002 Min. :-1.9800 Min. :-0.9700 Min. :-0.71498
## 1st Qu.:-0.24250 1st Qu.:-0.6775 1st Qu.:-0.2350 1st Qu.:-0.12500
## Median :-0.01502 Median : 0.0000 Median :-0.0250 Median : 0.00000
## Mean :-0.06925 Mean :-0.1866 Mean :-0.0590 Mean : 0.08175
## 3rd Qu.: 0.11875 3rd Qu.: 0.2650 3rd Qu.: 0.1075 3rd Qu.: 0.20249
## Max. : 0.92998 Max. : 0.9000 Max. : 0.7800 Max. : 1.60500
## data.3081 data.3082 data.3083 data.3084
## Min. :-1.37000 Min. :-0.63998 Min. :-0.86501 Min. :-0.55000
## 1st Qu.:-0.11625 1st Qu.:-0.39500 1st Qu.:-0.37500 1st Qu.:-0.16500
## Median : 0.00000 Median :-0.15001 Median :-0.01000 Median : 0.00000
## Mean : 0.05075 Mean :-0.08838 Mean :-0.04851 Mean : 0.02062
## 3rd Qu.: 0.29250 3rd Qu.: 0.15250 3rd Qu.: 0.23749 3rd Qu.: 0.18500
## Max. : 1.41000 Max. : 0.68000 Max. : 1.06499 Max. : 0.93000
## data.3085 data.3086 data.3087 data.3088
## Min. :-1.57000 Min. :-2.1700 Min. :-0.59000 Min. :-1.13000
## 1st Qu.:-0.24874 1st Qu.:-1.1225 1st Qu.:-0.05875 1st Qu.:-0.30250
## Median : 0.01000 Median : 0.0050 Median : 0.07501 Median :-0.04499
## Mean :-0.08863 Mean :-0.2014 Mean : 0.11112 Mean :-0.09800
## 3rd Qu.: 0.13750 3rd Qu.: 0.4625 3rd Qu.: 0.26500 3rd Qu.: 0.07250
## Max. : 0.97000 Max. : 2.0600 Max. : 0.93000 Max. : 0.53000
## data.3089 data.3090 data.3091 data.3092
## Min. :-1.44498 Min. :-0.94501 Min. :-1.00000 Min. :-1.0500
## 1st Qu.:-0.36623 1st Qu.:-0.32750 1st Qu.:-0.35751 1st Qu.:-0.4125
## Median :-0.03497 Median :-0.07501 Median : 0.00000 Median :-0.0400
## Mean :-0.17098 Mean :-0.10076 Mean :-0.08275 Mean :-0.1153
## 3rd Qu.: 0.06750 3rd Qu.: 0.08499 3rd Qu.: 0.17250 3rd Qu.: 0.1550
## Max. : 0.77502 Max. : 0.68499 Max. : 0.60000 Max. : 0.6500
## data.3093 data.3094 data.3095 data.3096
## Min. :-1.5500 Min. :-1.41000 Min. :-1.1100 Min. :-1.7400
## 1st Qu.:-0.4575 1st Qu.:-0.52500 1st Qu.:-0.2925 1st Qu.:-0.4913
## Median :-0.1100 Median :-0.03749 Median : 0.0000 Median :-0.2400
## Mean :-0.1990 Mean :-0.21000 Mean :-0.0610 Mean :-0.2250
## 3rd Qu.: 0.1400 3rd Qu.: 0.12250 3rd Qu.: 0.1225 3rd Qu.: 0.1475
## Max. : 0.8800 Max. : 0.66000 Max. : 0.6900 Max. : 0.7700
## data.3097 data.3098 data.3099 data.3100
## Min. :-1.1250 Min. :-0.72001 Min. :-0.83000 Min. :-1.12000
## 1st Qu.:-0.2600 1st Qu.:-0.22501 1st Qu.:-0.27500 1st Qu.:-0.36000
## Median :-0.0050 Median :-0.01000 Median :-0.04500 Median :-0.00501
## Mean :-0.0480 Mean :-0.01526 Mean :-0.04175 Mean :-0.05500
## 3rd Qu.: 0.2462 3rd Qu.: 0.17499 3rd Qu.: 0.20000 3rd Qu.: 0.33250
## Max. : 0.9700 Max. : 0.90999 Max. : 0.71000 Max. : 0.85000
## data.3101 data.3102 data.3103 data.3104
## Min. :-1.19502 Min. :-1.21000 Min. :-0.72250 Min. :-0.72498
## 1st Qu.:-0.47252 1st Qu.:-0.27625 1st Qu.:-0.25500 1st Qu.:-0.37498
## Median :-0.00501 Median :-0.04001 Median :-0.00250 Median :-0.04499
## Mean :-0.07452 Mean :-0.04975 Mean :-0.01025 Mean :-0.07798
## 3rd Qu.: 0.29248 3rd Qu.: 0.15625 3rd Qu.: 0.27749 3rd Qu.: 0.19002
## Max. : 0.98998 Max. : 0.71000 Max. : 0.79750 Max. : 0.68502
## data.3105 data.3106 data.3107 data.3108
## Min. :-0.88500 Min. :-1.07000 Min. :-0.65000 Min. :-0.740000
## 1st Qu.:-0.27750 1st Qu.:-0.30500 1st Qu.:-0.11251 1st Qu.:-0.220010
## Median : 0.00000 Median :-0.02001 Median : 0.00000 Median :-0.060000
## Mean :-0.06263 Mean :-0.07550 Mean : 0.06487 Mean :-0.006002
## 3rd Qu.: 0.12750 3rd Qu.: 0.22250 3rd Qu.: 0.32500 3rd Qu.: 0.220005
## Max. : 0.61500 Max. : 0.73000 Max. : 0.58000 Max. : 1.099980
## data.3109 data.3110 data.3111 data.3112
## Min. :-1.2400 Min. :-0.62000 Min. :-1.1800 Min. :-1.215000
## 1st Qu.:-0.4775 1st Qu.:-0.34000 1st Qu.:-0.5100 1st Qu.:-0.330010
## Median : 0.0000 Median :-0.04500 Median :-0.1550 Median : 0.017500
## Mean :-0.1535 Mean :-0.03025 Mean :-0.1550 Mean : 0.008499
## 3rd Qu.: 0.0175 3rd Qu.: 0.19247 3rd Qu.: 0.1187 3rd Qu.: 0.370000
## Max. : 1.3300 Max. : 0.88000 Max. : 1.4300 Max. : 0.935000
## data.3113 data.3114 data.3115 data.3116
## Min. :-1.5000 Min. :-0.86000 Min. :-1.54500 Min. :-0.890000
## 1st Qu.:-0.3450 1st Qu.:-0.32750 1st Qu.:-0.43500 1st Qu.:-0.082500
## Median :-0.1100 Median :-0.07000 Median :-0.08000 Median : 0.000000
## Mean :-0.1230 Mean :-0.04225 Mean :-0.02275 Mean :-0.092375
## 3rd Qu.: 0.1025 3rd Qu.: 0.22750 3rd Qu.: 0.39250 3rd Qu.: 0.004995
## Max. : 1.0400 Max. : 1.24000 Max. : 1.06500 Max. : 0.350000
## data.3117 data.3118 data.3119 data.3120
## Min. :-1.15500 Min. :-1.340 Min. :-2.3800 Min. :-1.6800
## 1st Qu.:-0.31753 1st Qu.:-0.215 1st Qu.:-0.4825 1st Qu.:-0.4475
## Median :-0.00250 Median :-0.010 Median : 0.0050 Median :-0.2300
## Mean :-0.02575 Mean :-0.046 Mean :-0.1304 Mean :-0.1430
## 3rd Qu.: 0.24000 3rd Qu.: 0.170 3rd Qu.: 0.1250 3rd Qu.: 0.1875
## Max. : 0.72498 Max. : 0.700 Max. : 1.0600 Max. : 1.1200
## data.3121 data.3122 data.3123 data.3124
## Min. :-0.72001 Min. :-1.27000 Min. :-0.94500 Min. :-1.34500
## 1st Qu.:-0.22501 1st Qu.:-0.28750 1st Qu.:-0.31375 1st Qu.:-0.42500
## Median :-0.01000 Median :-0.03999 Median :-0.04501 Median :-0.05500
## Mean : 0.01299 Mean :-0.06300 Mean : 0.03250 Mean :-0.08863
## 3rd Qu.: 0.28124 3rd Qu.: 0.22250 3rd Qu.: 0.24750 3rd Qu.: 0.14251
## Max. : 0.68999 Max. : 0.76000 Max. : 1.55002 Max. : 1.06500
## data.3125 data.3126 data.3127 data.3128
## Min. :-1.1200 Min. :-1.1800000 Min. :-0.8200 Min. :-0.9300
## 1st Qu.:-0.2425 1st Qu.:-0.3224951 1st Qu.:-0.1225 1st Qu.:-0.1725
## Median :-0.0300 Median :-0.0100000 Median : 0.0150 Median : 0.0250
## Mean :-0.0435 Mean : 0.0008735 Mean :-0.0200 Mean : 0.0185
## 3rd Qu.: 0.1025 3rd Qu.: 0.2799902 3rd Qu.: 0.1700 3rd Qu.: 0.3475
## Max. : 1.1100 Max. : 1.4799800 Max. : 0.3400 Max. : 0.9300
## data.3129 data.3130 data.3131 data.3132
## Min. :-1.14000 Min. :-0.9300 Min. :-1.1050 Min. :-0.6850
## 1st Qu.:-0.25753 1st Qu.:-0.1925 1st Qu.:-0.2675 1st Qu.:-0.2000
## Median : 0.01999 Median : 0.0300 Median :-0.0250 Median : 0.0425
## Mean : 0.02525 Mean : 0.1217 Mean : 0.0310 Mean : 0.0860
## 3rd Qu.: 0.34750 3rd Qu.: 0.5025 3rd Qu.: 0.2500 3rd Qu.: 0.2375
## Max. : 1.02000 Max. : 1.3800 Max. : 1.8050 Max. : 1.1350
## data.3133 data.3134 data.3135 data.3136
## Min. :-0.65000 Min. :-1.20000 Min. :-1.30501 Min. :-2.26000
## 1st Qu.:-0.09250 1st Qu.:-0.21125 1st Qu.:-0.20626 1st Qu.:-0.46001
## Median : 0.05500 Median : 0.03500 Median : 0.01250 Median : 0.11500
## Mean : 0.05925 Mean : 0.05512 Mean : 0.02049 Mean :-0.03725
## 3rd Qu.: 0.18375 3rd Qu.: 0.43500 3rd Qu.: 0.21749 3rd Qu.: 0.57750
## Max. : 0.86002 Max. : 1.28000 Max. : 0.97499 Max. : 1.37000
## data.3137 data.3138 data.3139 data.3140
## Min. :-1.10500 Min. :-1.21000 Min. :-0.9300 Min. :-0.68000
## 1st Qu.:-0.42500 1st Qu.:-0.36001 1st Qu.:-0.3688 1st Qu.:-0.17501
## Median : 0.01750 Median : 0.00000 Median : 0.0000 Median :-0.00500
## Mean : 0.05012 Mean :-0.01438 Mean :-0.0355 Mean : 0.05975
## 3rd Qu.: 0.40250 3rd Qu.: 0.49750 3rd Qu.: 0.3200 3rd Qu.: 0.32750
## Max. : 1.25500 Max. : 1.09000 Max. : 1.1800 Max. : 0.78000
## data.3141 data.3142 data.3143 data.3144
## Min. :-0.75000 Min. :-1.2900 Min. :-0.69000 Min. :-0.7400
## 1st Qu.:-0.23500 1st Qu.:-0.3775 1st Qu.:-0.20500 1st Qu.:-0.2850
## Median :-0.03500 Median :-0.0200 Median :-0.01500 Median :-0.0550
## Mean :-0.03488 Mean :-0.0565 Mean :-0.03025 Mean :-0.0500
## 3rd Qu.: 0.18500 3rd Qu.: 0.2975 3rd Qu.: 0.20750 3rd Qu.: 0.1525
## Max. : 1.29000 Max. : 1.0250 Max. : 0.52000 Max. : 0.9500
## data.3145 data.3146 data.3147 data.3148
## Min. :-1.4250 Min. :-0.99500 Min. :-1.5300 Min. :-1.2600
## 1st Qu.:-0.4275 1st Qu.:-0.40750 1st Qu.:-0.6637 1st Qu.:-0.4975
## Median :-0.1100 Median :-0.05500 Median :-0.2950 Median :-0.3800
## Mean :-0.1392 Mean :-0.06075 Mean :-0.2930 Mean :-0.2265
## 3rd Qu.: 0.1450 3rd Qu.: 0.20750 3rd Qu.: 0.1800 3rd Qu.: 0.2188
## Max. : 0.8400 Max. : 0.83500 Max. : 0.9000 Max. : 0.9600
## data.3149 data.3150 data.3151 data.3152
## Min. :-1.8700 Min. :-1.69999 Min. :-1.26000 Min. :-1.3050
## 1st Qu.:-0.2975 1st Qu.:-0.33999 1st Qu.:-0.30250 1st Qu.:-0.4425
## Median :-0.0550 Median :-0.08249 Median :-0.04000 Median :-0.0100
## Mean :-0.0970 Mean :-0.12799 Mean :-0.05725 Mean :-0.1165
## 3rd Qu.: 0.1925 3rd Qu.: 0.21751 3rd Qu.: 0.24625 3rd Qu.: 0.1925
## Max. : 0.9900 Max. : 0.74003 Max. : 0.86002 Max. : 0.7150
## data.3153 data.3154 data.3155 data.3156
## Min. :-0.80000 Min. :-1.4200 Min. :-1.06000 Min. :-1.27500
## 1st Qu.:-0.33500 1st Qu.:-0.4250 1st Qu.:-0.39250 1st Qu.:-0.42750
## Median :-0.03002 Median :-0.0100 Median :-0.06000 Median :-0.02000
## Mean :-0.08125 Mean :-0.1030 Mean :-0.05313 Mean :-0.07825
## 3rd Qu.: 0.15000 3rd Qu.: 0.2425 3rd Qu.: 0.23000 3rd Qu.: 0.27500
## Max. : 0.77502 Max. : 0.6400 Max. : 0.99002 Max. : 0.81500
## data.3157 data.3158 data.3159 data.3160
## Min. :-1.0800 Min. :-1.2350 Min. :-1.260 Min. :-1.4900
## 1st Qu.:-0.3600 1st Qu.:-0.7275 1st Qu.:-0.425 1st Qu.:-0.4437
## Median :-0.0650 Median : 0.0000 Median :-0.085 Median :-0.0800
## Mean :-0.1175 Mean :-0.1525 Mean :-0.120 Mean :-0.1265
## 3rd Qu.: 0.1800 3rd Qu.: 0.2800 3rd Qu.: 0.160 3rd Qu.: 0.1925
## Max. : 0.4100 Max. : 1.0050 Max. : 0.800 Max. : 0.6400
## data.3161 data.3162 data.3163 data.3164
## Min. :-1.14000 Min. :-0.9050098 Min. :-0.7500 Min. :-0.9250
## 1st Qu.:-0.31250 1st Qu.:-0.2250098 1st Qu.:-0.2225 1st Qu.:-0.3600
## Median :-0.02501 Median : 0.0000000 Median :-0.0500 Median :-0.0300
## Mean :-0.05625 Mean : 0.0007387 Mean : 0.0110 Mean :-0.0955
## 3rd Qu.: 0.21875 3rd Qu.: 0.3149610 3rd Qu.: 0.3175 3rd Qu.: 0.1913
## Max. : 0.75000 Max. : 0.7549902 Max. : 0.9800 Max. : 0.9700
## data.3165 data.3166 data.3167 data.3168
## Min. :-1.5600 Min. :-1.2200 Min. :-1.5100 Min. :-1.5800
## 1st Qu.:-0.4225 1st Qu.:-0.5425 1st Qu.:-0.3950 1st Qu.:-0.4275
## Median :-0.0250 Median :-0.0100 Median : 0.0000 Median :-0.0200
## Mean :-0.1173 Mean :-0.1033 Mean :-0.0630 Mean :-0.0950
## 3rd Qu.: 0.2775 3rd Qu.: 0.2125 3rd Qu.: 0.2525 3rd Qu.: 0.2450
## Max. : 1.1400 Max. : 1.1900 Max. : 0.5850 Max. : 0.6350
## data.3169 data.3170 data.3171 data.3172
## Min. :-1.0150 Min. :-0.89500 Min. :-0.955000 Min. :-0.9525
## 1st Qu.:-0.3975 1st Qu.:-0.39250 1st Qu.:-0.490000 1st Qu.:-0.4175
## Median :-0.0050 Median :-0.06501 Median : 0.015000 Median :-0.0825
## Mean :-0.0380 Mean :-0.08450 Mean :-0.001252 Mean :-0.1210
## 3rd Qu.: 0.3750 3rd Qu.: 0.21750 3rd Qu.: 0.390000 3rd Qu.: 0.1875
## Max. : 1.0150 Max. : 0.65500 Max. : 1.305000 Max. : 0.5975
## data.3173 data.3174 data.3175 data.3176
## Min. :-1.40498 Min. :-1.0000 Min. :-1.2950 Min. :-0.80000
## 1st Qu.:-0.28248 1st Qu.:-0.2150 1st Qu.:-0.4200 1st Qu.:-0.21251
## Median :-0.02997 Median : 0.0000 Median :-0.1100 Median : 0.00000
## Mean : 0.05252 Mean : 0.0615 Mean :-0.0560 Mean : 0.08362
## 3rd Qu.: 0.47252 3rd Qu.: 0.4575 3rd Qu.: 0.3475 3rd Qu.: 0.36000
## Max. : 1.49502 Max. : 1.0800 Max. : 1.4050 Max. : 1.23000
## data.3177 data.3178 data.3179 data.3180
## Min. :-1.87500 Min. :-1.070000 Min. :-0.86000 Min. :-1.260000
## 1st Qu.:-0.27751 1st Qu.:-0.270000 1st Qu.:-0.32250 1st Qu.:-0.360000
## Median : 0.00000 Median :-0.055000 Median :-0.08500 Median : 0.000000
## Mean :-0.09525 Mean :-0.005252 Mean :-0.05625 Mean : 0.004498
## 3rd Qu.: 0.28000 3rd Qu.: 0.417500 3rd Qu.: 0.24500 3rd Qu.: 0.287490
## Max. : 0.88502 Max. : 0.800000 Max. : 0.68002 Max. : 1.340020
## data.3181 data.3182 data.3183 data.3184
## Min. :-0.8650 Min. :-1.43500 Min. :-1.0350 Min. :-0.84500
## 1st Qu.:-0.1175 1st Qu.:-0.50000 1st Qu.:-0.7175 1st Qu.:-0.35500
## Median : 0.0300 Median : 0.00000 Median :-0.1100 Median :-0.05500
## Mean : 0.0415 Mean :-0.01488 Mean :-0.1553 Mean :-0.07413
## 3rd Qu.: 0.3162 3rd Qu.: 0.28249 3rd Qu.: 0.2650 3rd Qu.: 0.26500
## Max. : 0.9850 Max. : 1.19000 Max. : 0.9150 Max. : 0.57500
## data.3185 data.3186 data.3187 data.3188
## Min. :-1.2400 Min. :-1.28498 Min. :-1.1000 Min. :-0.9250
## 1st Qu.:-0.4525 1st Qu.:-0.37251 1st Qu.:-0.3600 1st Qu.:-0.3025
## Median :-0.0950 Median : 0.05502 Median : 0.0850 Median : 0.1250
## Mean :-0.1090 Mean : 0.03002 Mean : 0.1005 Mean : 0.1563
## 3rd Qu.: 0.1900 3rd Qu.: 0.43752 3rd Qu.: 0.5075 3rd Qu.: 0.5050
## Max. : 0.8300 Max. : 1.48002 Max. : 2.0500 Max. : 1.9450
## data.3189 data.3190 data.3191 data.3192
## Min. :-1.0900 Min. :-1.28498 Min. :-0.86498 Min. :-1.3500
## 1st Qu.:-0.2375 1st Qu.:-0.23748 1st Qu.:-0.13748 1st Qu.:-0.3200
## Median : 0.0400 Median : 0.05001 Median : 0.02251 Median : 0.0000
## Mean : 0.1140 Mean : 0.04652 Mean : 0.07364 Mean : 0.0250
## 3rd Qu.: 0.4725 3rd Qu.: 0.30749 3rd Qu.: 0.28002 3rd Qu.: 0.3175
## Max. : 1.7300 Max. : 1.28502 Max. : 1.08502 Max. : 1.3400
## data.3193 data.3194 data.3195 data.3196
## Min. :-0.740000 Min. :-1.6650 Min. :-1.1600 Min. :-1.4800
## 1st Qu.:-0.175000 1st Qu.:-0.3575 1st Qu.:-0.4525 1st Qu.:-0.1825
## Median : 0.000000 Median :-0.1100 Median : 0.0050 Median : 0.0000
## Mean : 0.003999 Mean :-0.1185 Mean : 0.0175 Mean :-0.0345
## 3rd Qu.: 0.225000 3rd Qu.: 0.1725 3rd Qu.: 0.4587 3rd Qu.: 0.1725
## Max. : 0.770000 Max. : 1.2250 Max. : 1.3100 Max. : 0.7300
## data.3197 data.3198 data.3199 data.3200
## Min. :-1.810000 Min. :-0.715000 Min. :-1.10000 Min. :-1.064990
## 1st Qu.:-0.220000 1st Qu.:-0.340000 1st Qu.:-0.16000 1st Qu.:-0.214990
## Median : 0.000000 Median : 0.020000 Median : 0.00000 Median : 0.030010
## Mean :-0.006626 Mean : 0.001249 Mean : 0.08312 Mean : 0.005258
## 3rd Qu.: 0.215005 3rd Qu.: 0.267515 3rd Qu.: 0.43750 3rd Qu.: 0.237510
## Max. : 0.820000 Max. : 1.015000 Max. : 1.68000 Max. : 0.955010
## data.3201 data.3202 data.3203 data.3204
## Min. :-0.62999 Min. :-1.00000 Min. :-1.38500 Min. :-1.01000
## 1st Qu.:-0.27752 1st Qu.:-0.19500 1st Qu.:-0.48250 1st Qu.:-0.33501
## Median : 0.00000 Median : 0.07998 Median : 0.00999 Median :-0.15000
## Mean : 0.05251 Mean : 0.06600 Mean :-0.01150 Mean :-0.06175
## 3rd Qu.: 0.29375 3rd Qu.: 0.25500 3rd Qu.: 0.31000 3rd Qu.: 0.17500
## Max. : 1.25501 Max. : 1.89000 Max. : 2.58500 Max. : 1.10000
## data.3205 data.3206 data.3207 data.3208
## Min. :-0.470000 Min. :-1.06000 Min. :-0.7800 Min. :-0.965000
## 1st Qu.:-0.263750 1st Qu.:-0.42250 1st Qu.:-0.3325 1st Qu.:-0.345000
## Median :-0.020000 Median :-0.10000 Median :-0.0950 Median :-0.080010
## Mean : 0.005248 Mean :-0.02963 Mean : 0.0355 Mean : 0.006498
## 3rd Qu.: 0.171250 3rd Qu.: 0.28000 3rd Qu.: 0.2013 3rd Qu.: 0.170000
## Max. : 1.030000 Max. : 1.77000 Max. : 2.3650 Max. : 2.310000
## data.3209 data.3210 data.3211 data.3212
## Min. :-1.31500 Min. :-1.19000 Min. :-1.46500 Min. :-1.16000
## 1st Qu.:-0.44000 1st Qu.:-0.26250 1st Qu.:-0.31503 1st Qu.:-0.19500
## Median :-0.03000 Median : 0.00500 Median : 0.00000 Median : 0.02998
## Mean :-0.03888 Mean : 0.04025 Mean :-0.04763 Mean :-0.01675
## 3rd Qu.: 0.23750 3rd Qu.: 0.27500 3rd Qu.: 0.23250 3rd Qu.: 0.16750
## Max. : 1.90500 Max. : 1.25000 Max. : 1.19000 Max. : 0.57000
## data.3213 data.3214 data.3215 data.3216
## Min. :-1.10500 Min. :-1.05500 Min. :-1.72000 Min. :-1.0100
## 1st Qu.:-0.30500 1st Qu.:-0.27500 1st Qu.:-0.46250 1st Qu.:-0.3575
## Median : 0.00999 Median : 0.05498 Median :-0.03500 Median :-0.1200
## Mean :-0.02950 Mean :-0.01325 Mean : 0.03287 Mean :-0.0515
## 3rd Qu.: 0.24000 3rd Qu.: 0.24750 3rd Qu.: 0.42000 3rd Qu.: 0.2975
## Max. : 0.92500 Max. : 0.86500 Max. : 2.41000 Max. : 1.2400
## data.3217 data.3218 data.3219 data.3220
## Min. :-0.82000 Min. :-0.86000 Min. :-1.28000 Min. :-0.5900
## 1st Qu.:-0.34500 1st Qu.:-0.21750 1st Qu.:-0.23500 1st Qu.:-0.2700
## Median :-0.01502 Median :-0.03000 Median : 0.01999 Median :-0.0350
## Mean :-0.04300 Mean :-0.03838 Mean : 0.03425 Mean :-0.0285
## 3rd Qu.: 0.22000 3rd Qu.: 0.14500 3rd Qu.: 0.36250 3rd Qu.: 0.1250
## Max. : 0.89002 Max. : 0.96000 Max. : 0.80000 Max. : 0.8700
## data.3221 data.3222 data.3223 data.3224
## Min. :-1.0700 Min. :-1.0550 Min. :-2.2000 Min. :-1.5000
## 1st Qu.:-0.3325 1st Qu.:-0.2975 1st Qu.:-0.5150 1st Qu.:-0.4800
## Median : 0.0000 Median :-0.0500 Median :-0.1000 Median :-0.0600
## Mean :-0.0410 Mean :-0.0905 Mean :-0.1494 Mean :-0.1011
## 3rd Qu.: 0.2050 3rd Qu.: 0.2300 3rd Qu.: 0.1925 3rd Qu.: 0.3150
## Max. : 0.9000 Max. : 0.8750 Max. : 1.0700 Max. : 1.7000
## data.3225 data.3226 data.3227 data.3228
## Min. :-1.035 Min. :-1.5900 Min. :-1.150010 Min. :-1.1400
## 1st Qu.:-0.365 1st Qu.:-0.5825 1st Qu.:-0.443760 1st Qu.:-0.3125
## Median :-0.005 Median :-0.0200 Median : 0.009995 Median : 0.1050
## Mean :-0.064 Mean :-0.1760 Mean : 0.011739 Mean : 0.1474
## 3rd Qu.: 0.245 3rd Qu.: 0.2050 3rd Qu.: 0.497490 3rd Qu.: 0.5325
## Max. : 0.865 Max. : 0.7700 Max. : 1.299990 Max. : 1.5500
## data.3229 data.3230 data.3231 data.3232
## Min. :-1.1400 Min. :-0.83000 Min. :-1.280 Min. :-1.24750
## 1st Qu.:-0.2650 1st Qu.:-0.24251 1st Qu.:-0.365 1st Qu.:-0.24249
## Median : 0.1050 Median : 0.03500 Median :-0.030 Median : 0.01750
## Mean : 0.0585 Mean : 0.01125 Mean :-0.061 Mean :-0.02256
## 3rd Qu.: 0.4500 3rd Qu.: 0.25750 3rd Qu.: 0.210 3rd Qu.: 0.26375
## Max. : 1.2450 Max. : 1.01500 Max. : 0.640 Max. : 0.83250
## data.3233 data.3234 data.3235 data.3236
## Min. :-0.79000 Min. :-0.41500 Min. :-1.0200000 Min. :-3.400000
## 1st Qu.:-0.31500 1st Qu.:-0.12500 1st Qu.:-0.3900000 1st Qu.:-0.442500
## Median :-0.00750 Median : 0.00250 Median :-0.0000195 Median :-0.007500
## Mean :-0.01825 Mean : 0.02062 Mean :-0.0962515 Mean :-0.008501
## 3rd Qu.: 0.27000 3rd Qu.: 0.16750 3rd Qu.: 0.1312500 3rd Qu.: 0.517500
## Max. : 1.01000 Max. : 0.37500 Max. : 1.2999800 Max. : 2.230000
## data.3237 data.3238 data.3239 data.3240
## Min. :-0.88498 Min. :-0.649980 Min. :-1.22496 Min. :-0.75000
## 1st Qu.:-0.35250 1st Qu.:-0.242480 1st Qu.:-0.36251 1st Qu.:-0.31750
## Median :-0.11500 Median :-0.054981 Median :-0.11998 Median :-0.05001
## Mean :-0.05225 Mean :-0.007733 Mean :-0.05911 Mean :-0.06450
## 3rd Qu.: 0.21000 3rd Qu.: 0.212520 3rd Qu.: 0.16751 3rd Qu.: 0.15250
## Max. : 1.07500 Max. : 1.490020 Max. : 1.70502 Max. : 1.29000
## data.3241 data.3242 data.3243 data.3244
## Min. :-0.83500 Min. :-0.87998 Min. :-0.81000 Min. :-1.0850
## 1st Qu.:-0.15750 1st Qu.:-0.15375 1st Qu.:-0.19999 1st Qu.:-0.1925
## Median : 0.02998 Median : 0.01003 Median : 0.00500 Median : 0.0050
## Mean : 0.09625 Mean : 0.06439 Mean : 0.02662 Mean : 0.0270
## 3rd Qu.: 0.28750 3rd Qu.: 0.28752 3rd Qu.: 0.24750 3rd Qu.: 0.2450
## Max. : 1.75500 Max. : 1.13002 Max. : 1.09996 Max. : 0.7400
## data.3245 data.3246 data.3247 data.3248
## Min. :-2.06000 Min. :-2.1900 Min. :-2.43000 Min. :-4.2400
## 1st Qu.:-0.26625 1st Qu.:-0.9750 1st Qu.:-1.03750 1st Qu.:-2.1812
## Median : 0.05500 Median :-0.1550 Median :-0.01499 Median :-1.2850
## Mean :-0.05475 Mean :-0.2905 Mean :-0.14350 Mean :-0.7214
## 3rd Qu.: 0.24250 3rd Qu.: 0.4025 3rd Qu.: 0.49750 3rd Qu.: 1.0425
## Max. : 1.12998 Max. : 1.2200 Max. : 1.77000 Max. : 3.2600
## data.3249 data.3250 data.3251 data.3252
## Min. :-2.03000 Min. :-4.010000 Min. :-1.36996 Min. :-1.85000
## 1st Qu.:-0.30501 1st Qu.:-0.210000 1st Qu.:-0.15246 1st Qu.:-0.26000
## Median : 0.03001 Median :-0.015000 Median :-0.02995 Median :-0.00501
## Mean : 0.11212 Mean :-0.005001 Mean :-0.05221 Mean : 0.07687
## 3rd Qu.: 0.64250 3rd Qu.: 0.295000 3rd Qu.: 0.13629 3rd Qu.: 0.41249
## Max. : 1.34000 Max. : 2.070000 Max. : 0.84004 Max. : 1.93000
## data.3253 data.3254 data.3255 data.3256
## Min. :-0.62000 Min. :-1.6000 Min. :-1.69499 Min. :-1.2250
## 1st Qu.:-0.11250 1st Qu.:-0.5875 1st Qu.:-0.28498 1st Qu.:-0.1250
## Median : 0.00000 Median : 0.0000 Median : 0.05501 Median : 0.0000
## Mean : 0.06112 Mean : 0.1824 Mean : 0.27901 Mean : 0.2896
## 3rd Qu.: 0.11000 3rd Qu.: 0.5975 3rd Qu.: 0.77001 3rd Qu.: 0.5775
## Max. : 3.01000 Max. : 3.8250 Max. : 2.30501 Max. : 4.2500
## data.3257 data.3258 data.3259 data.3260
## Min. :-1.9600 Min. :-1.450000 Min. :-1.6500 Min. :-2.3400
## 1st Qu.:-0.3125 1st Qu.:-0.535005 1st Qu.:-0.4625 1st Qu.:-0.5675
## Median : 0.1200 Median :-0.005019 Median : 0.0000 Median : 0.0000
## Mean : 0.1269 Mean : 0.056999 Mean : 0.1256 Mean : 0.2475
## 3rd Qu.: 0.4500 3rd Qu.: 0.662500 3rd Qu.: 0.5650 3rd Qu.: 0.9250
## Max. : 3.5300 Max. : 2.035000 Max. : 3.3500 Max. : 4.3150
## data.3261 data.3262 data.3263 data.3264
## Min. :-1.0600 Min. :-1.4800 Min. :-0.8450 Min. :-0.90001
## 1st Qu.:-0.2075 1st Qu.:-0.1350 1st Qu.:-0.3075 1st Qu.:-0.19251
## Median : 0.0250 Median : 0.0000 Median :-0.0025 Median : 0.02500
## Mean : 0.2566 Mean : 0.3594 Mean :-0.0735 Mean : 0.08299
## 3rd Qu.: 0.5675 3rd Qu.: 0.9375 3rd Qu.: 0.1925 3rd Qu.: 0.33499
## Max. : 2.4100 Max. : 3.4600 Max. : 0.6350 Max. : 0.88999
## data.3265 data.3266 data.3267 data.3268
## Min. :-1.08000 Min. :-1.2600 Min. :-1.15500 Min. :-1.1300
## 1st Qu.:-0.19250 1st Qu.:-0.2350 1st Qu.:-0.24500 1st Qu.:-0.2875
## Median : 0.06000 Median : 0.0900 Median : 0.08500 Median : 0.0000
## Mean : 0.06487 Mean : 0.0325 Mean : 0.03675 Mean : 0.0445
## 3rd Qu.: 0.29000 3rd Qu.: 0.3575 3rd Qu.: 0.48375 3rd Qu.: 0.4637
## Max. : 1.09000 Max. : 1.0300 Max. : 0.97500 Max. : 1.2100
## data.3269 data.3270 data.3271 data.3272
## Min. :-0.74501 Min. :-1.0400 Min. :-1.2000 Min. :-0.91500
## 1st Qu.:-0.16001 1st Qu.:-0.2625 1st Qu.:-0.3375 1st Qu.:-0.36500
## Median : 0.03999 Median : 0.1400 Median : 0.1400 Median : 0.10001
## Mean : 0.03274 Mean : 0.1760 Mean : 0.1805 Mean : 0.09925
## 3rd Qu.: 0.24374 3rd Qu.: 0.5213 3rd Qu.: 0.5787 3rd Qu.: 0.55750
## Max. : 0.73499 Max. : 1.8900 Max. : 1.8700 Max. : 1.24500
## data.3273 data.3274 data.3275 data.3276
## Min. :-1.0150 Min. :-1.20002 Min. :-1.05499 Min. :-1.02000
## 1st Qu.:-0.1950 1st Qu.:-0.46500 1st Qu.:-0.25750 1st Qu.:-0.24000
## Median : 0.1200 Median :-0.03000 Median :-0.02000 Median :-0.01000
## Mean : 0.2072 Mean : 0.02137 Mean : 0.02951 Mean : 0.03775
## 3rd Qu.: 0.6375 3rd Qu.: 0.21500 3rd Qu.: 0.23751 3rd Qu.: 0.38000
## Max. : 1.5550 Max. : 1.59500 Max. : 1.35501 Max. : 1.25500
## data.3277 data.3278 data.3279 data.3280
## Min. :-0.56500 Min. :-0.86000 Min. :-0.909990 Min. :-0.99000
## 1st Qu.:-0.13500 1st Qu.:-0.27000 1st Qu.:-0.172490 1st Qu.:-0.22999
## Median : 0.03000 Median : 0.00000 Median :-0.015000 Median : 0.02000
## Mean : 0.07587 Mean : 0.03187 Mean : 0.002258 Mean : 0.09575
## 3rd Qu.: 0.27750 3rd Qu.: 0.33500 3rd Qu.: 0.191260 3rd Qu.: 0.48625
## Max. : 0.76000 Max. : 1.57998 Max. : 0.710010 Max. : 1.64000
## data.3281 data.3282 data.3283 data.3284
## Min. :-1.83000 Min. :-0.5150 Min. :-1.05000 Min. :-0.695
## 1st Qu.:-0.28500 1st Qu.:-0.1150 1st Qu.:-0.25000 1st Qu.:-0.280
## Median :-0.06502 Median : 0.0700 Median : 0.11500 Median : 0.115
## Mean :-0.08675 Mean : 0.1220 Mean : 0.08775 Mean : 0.111
## 3rd Qu.: 0.17250 3rd Qu.: 0.3063 3rd Qu.: 0.34497 3rd Qu.: 0.380
## Max. : 1.85002 Max. : 1.4950 Max. : 1.80000 Max. : 1.885
## data.3285 data.3286 data.3287 data.3288
## Min. :-1.2100 Min. :-1.51000 Min. :-1.12996 Min. :-0.960000
## 1st Qu.:-0.2975 1st Qu.:-0.47625 1st Qu.:-0.22496 1st Qu.:-0.267500
## Median : 0.1900 Median : 0.04000 Median : 0.05003 Median : 0.000000
## Mean : 0.1571 Mean : 0.06875 Mean : 0.10029 Mean : 0.001249
## 3rd Qu.: 0.6225 3rd Qu.: 0.69250 3rd Qu.: 0.41754 3rd Qu.: 0.222500
## Max. : 2.2700 Max. : 1.81000 Max. : 1.22004 Max. : 1.160000
## data.3289 data.3290 data.3291 data.3292
## Min. :-0.71000 Min. :-0.54000 Min. :-0.630000 Min. :-0.75000
## 1st Qu.:-0.38250 1st Qu.:-0.16000 1st Qu.:-0.240000 1st Qu.:-0.29000
## Median :-0.00500 Median :-0.01999 Median : 0.010000 Median :-0.02500
## Mean :-0.04038 Mean : 0.08062 Mean : 0.003249 Mean : 0.04425
## 3rd Qu.: 0.21625 3rd Qu.: 0.33500 3rd Qu.: 0.262500 3rd Qu.: 0.44000
## Max. : 1.48000 Max. : 0.91500 Max. : 0.790019 Max. : 1.04002
## data.3293 data.3294 data.3295 data.3296
## Min. :-0.61500 Min. :-0.9250 Min. :-0.48500 Min. :-0.75000
## 1st Qu.:-0.27500 1st Qu.:-0.2988 1st Qu.:-0.19000 1st Qu.:-0.32500
## Median : 0.00000 Median :-0.1125 Median :-0.02000 Median :-0.04500
## Mean : 0.08112 Mean : 0.0125 Mean :-0.02425 Mean : 0.02637
## 3rd Qu.: 0.44000 3rd Qu.: 0.3475 3rd Qu.: 0.15750 3rd Qu.: 0.30625
## Max. : 0.97502 Max. : 1.2150 Max. : 0.69502 Max. : 1.46000
## data.3297 data.3298 data.3299 data.3300
## Min. :-2.06000 Min. :-0.92002 Min. :-1.0699900 Min. :-1.02500
## 1st Qu.:-0.33000 1st Qu.:-0.39252 1st Qu.:-0.3749902 1st Qu.:-0.16250
## Median : 0.02500 Median : 0.05999 Median : 0.0000049 Median : 0.03000
## Mean :-0.06075 Mean : 0.02685 Mean : 0.0197581 Mean : 0.08825
## 3rd Qu.: 0.24747 3rd Qu.: 0.32248 3rd Qu.: 0.2950098 3rd Qu.: 0.45000
## Max. : 0.82000 Max. : 1.55998 Max. : 2.0200100 Max. : 0.91002
## data.3301 data.3302 data.3303 data.3304
## Min. :-1.11000 Min. :-0.92000 Min. :-0.98998 Min. :-1.3800
## 1st Qu.:-0.35750 1st Qu.:-0.24875 1st Qu.:-0.35623 1st Qu.:-0.4775
## Median :-0.02750 Median : 0.02000 Median : 0.03252 Median : 0.1125
## Mean : 0.02125 Mean : 0.06725 Mean :-0.02123 Mean : 0.1042
## 3rd Qu.: 0.34500 3rd Qu.: 0.35000 3rd Qu.: 0.27502 3rd Qu.: 0.6900
## Max. : 1.02998 Max. : 1.03996 Max. : 0.92004 Max. : 1.8100
## data.3305 data.3306 data.3307 data.3308
## Min. :-0.57502 Min. :-1.65500 Min. :-1.045000 Min. :-1.85499
## 1st Qu.:-0.16752 1st Qu.:-0.47250 1st Qu.:-0.235000 1st Qu.:-0.41749
## Median : 0.01999 Median : 0.00500 Median : 0.000000 Median :-0.07999
## Mean : 0.05773 Mean :-0.05875 Mean :-0.005252 Mean :-0.13299
## 3rd Qu.: 0.29500 3rd Qu.: 0.37000 3rd Qu.: 0.210000 3rd Qu.: 0.07626
## Max. : 0.70998 Max. : 1.19000 Max. : 0.890000 Max. : 0.84501
## data.3309 data.3310 data.3311 data.3312
## Min. :-2.56501 Min. :-1.00002 Min. :-1.3100 Min. :-0.93998
## 1st Qu.:-0.80001 1st Qu.:-0.38250 1st Qu.:-0.3775 1st Qu.:-0.19500
## Median :-0.06503 Median :-0.05750 Median :-0.0100 Median : 0.10003
## Mean :-0.29101 Mean :-0.07825 Mean : 0.0230 Mean : 0.08852
## 3rd Qu.: 0.29749 3rd Qu.: 0.18250 3rd Qu.: 0.3700 3rd Qu.: 0.35002
## Max. : 1.12501 Max. : 0.97000 Max. : 1.7700 Max. : 1.51002
## data.3313 data.3314 data.3315 data.3316
## Min. :-0.99000 Min. :-1.355000 Min. :-0.59000 Min. :-1.060000
## 1st Qu.:-0.18249 1st Qu.:-0.237500 1st Qu.:-0.23251 1st Qu.:-0.255000
## Median : 0.01499 Median :-0.005019 Median :-0.03500 Median :-0.005000
## Mean : 0.04450 Mean : 0.074748 Mean :-0.02413 Mean : 0.008249
## 3rd Qu.: 0.27000 3rd Qu.: 0.350000 3rd Qu.: 0.14250 3rd Qu.: 0.312505
## Max. : 1.15000 Max. : 1.505000 Max. : 0.73000 Max. : 0.980000
## data.3317 data.3318 data.3319 data.3320
## Min. :-0.99002 Min. :-0.95496 Min. :-1.34000 Min. :-0.26002
## 1st Qu.:-0.33000 1st Qu.:-0.42997 1st Qu.:-0.19000 1st Qu.:-0.09253
## Median :-0.04999 Median : 0.01004 Median : 0.09000 Median :-0.00500
## Mean :-0.05900 Mean :-0.05971 Mean : 0.01675 Mean : 0.04325
## 3rd Qu.: 0.25000 3rd Qu.: 0.26004 3rd Qu.: 0.35500 3rd Qu.: 0.20750
## Max. : 0.60000 Max. : 0.77006 Max. : 0.98000 Max. : 0.49000
## data.3321 data.3322 data.3323 data.3324
## Min. :-1.00002 Min. :-1.04000 Min. :-0.77000 Min. :-0.96000
## 1st Qu.:-0.44254 1st Qu.:-0.45000 1st Qu.:-0.25750 1st Qu.:-0.40253
## Median :-0.01001 Median :-0.00499 Median :-0.08500 Median : 0.00000
## Mean :-0.02877 Mean : 0.01200 Mean : 0.02525 Mean : 0.05025
## 3rd Qu.: 0.28498 3rd Qu.: 0.42250 3rd Qu.: 0.30000 3rd Qu.: 0.48500
## Max. : 1.12998 Max. : 1.36000 Max. : 1.35000 Max. : 1.49000
## data.3325 data.3326 data.3327 data.3328
## Min. :-0.84000 Min. :-0.73004 Min. :-0.679990 Min. :-1.1400
## 1st Qu.:-0.23500 1st Qu.:-0.18000 1st Qu.:-0.142490 1st Qu.:-0.1900
## Median : 0.01000 Median : 0.03500 Median : 0.010010 Median : 0.1300
## Mean : 0.01525 Mean : 0.08762 Mean :-0.004367 Mean : 0.1105
## 3rd Qu.: 0.24250 3rd Qu.: 0.29000 3rd Qu.: 0.092510 3rd Qu.: 0.5725
## Max. : 0.85000 Max. : 1.28500 Max. : 0.825010 Max. : 1.1500
## data.3329 data.3330 data.3331 data.3332
## Min. :-0.600000 Min. :-1.03998 Min. :-1.02000 Min. :-0.74999
## 1st Qu.:-0.220000 1st Qu.:-0.31248 1st Qu.:-0.46250 1st Qu.:-0.29499
## Median :-0.070000 Median :-0.00998 Median :-0.01000 Median :-0.04999
## Mean :-0.004502 Mean : 0.01027 Mean :-0.05925 Mean :-0.02374
## 3rd Qu.: 0.212515 3rd Qu.: 0.31500 3rd Qu.: 0.19000 3rd Qu.: 0.22249
## Max. : 0.790000 Max. : 1.08502 Max. : 0.95000 Max. : 0.94501
## data.3333 data.3334 data.3335 data.3336
## Min. :-2.6900 Min. :-3.53500 Min. :-0.83502 Min. :-0.91000
## 1st Qu.:-0.4525 1st Qu.:-0.36250 1st Qu.:-0.37752 1st Qu.:-0.15250
## Median :-0.1300 Median :-0.05501 Median :-0.07002 Median : 0.00000
## Mean :-0.1540 Mean :-0.18800 Mean :-0.05277 Mean :-0.02038
## 3rd Qu.: 0.1025 3rd Qu.: 0.13250 3rd Qu.: 0.20248 3rd Qu.: 0.18500
## Max. : 1.5150 Max. : 1.54000 Max. : 0.79000 Max. : 0.99000
## data.3337 data.3338 data.3339 data.3340
## Min. :-0.69999 Min. :-0.7850 Min. :-0.73002 Min. :-0.96502
## 1st Qu.:-0.20249 1st Qu.:-0.3650 1st Qu.:-0.27502 1st Qu.:-0.40625
## Median :-0.05999 Median :-0.0800 Median :-0.01502 Median :-0.01000
## Mean :-0.06374 Mean :-0.1130 Mean :-0.02827 Mean :-0.08925
## 3rd Qu.: 0.13251 3rd Qu.: 0.0675 3rd Qu.: 0.21623 3rd Qu.: 0.23250
## Max. : 0.47001 Max. : 0.7750 Max. : 0.69998 Max. : 0.76500
## data.3341 data.3342 data.3343 data.3344
## Min. :-1.12000 Min. :-1.1050 Min. :-1.3200 Min. :-0.7550
## 1st Qu.:-0.61000 1st Qu.:-0.3725 1st Qu.:-0.4725 1st Qu.:-0.3275
## Median :-0.04001 Median :-0.0800 Median :-0.1700 Median :-0.0625
## Mean :-0.11663 Mean :-0.0715 Mean :-0.1740 Mean :-0.0305
## 3rd Qu.: 0.41500 3rd Qu.: 0.1775 3rd Qu.: 0.1062 3rd Qu.: 0.2100
## Max. : 0.66000 Max. : 0.9050 Max. : 1.1600 Max. : 0.9950
## data.3345 data.3346 data.3347 data.3348
## Min. :-0.92000 Min. :-0.93500 Min. :-1.1400 Min. :-0.8300195
## 1st Qu.:-0.33750 1st Qu.:-0.54251 1st Qu.:-0.5300 1st Qu.:-0.1250342
## Median :-0.06003 Median :-0.00999 Median :-0.0050 Median :-0.0250390
## Mean :-0.02113 Mean :-0.09975 Mean :-0.0795 Mean : 0.0004795
## 3rd Qu.: 0.28500 3rd Qu.: 0.19750 3rd Qu.: 0.1650 3rd Qu.: 0.1274805
## Max. : 1.13000 Max. : 1.29500 Max. : 1.4800 Max. : 0.8499805
## data.3349 data.3350 data.3351 data.3352
## Min. :-1.09000 Min. :-1.1900 Min. :-0.99003 Min. :-1.11002
## 1st Qu.:-0.24250 1st Qu.:-0.2725 1st Qu.:-0.17251 1st Qu.:-0.30502
## Median :-0.06000 Median : 0.0100 Median :-0.02501 Median :-0.03500
## Mean :-0.02525 Mean :-0.0245 Mean : 0.01636 Mean :-0.04075
## 3rd Qu.: 0.19000 3rd Qu.: 0.2825 3rd Qu.: 0.18999 3rd Qu.: 0.20000
## Max. : 0.83000 Max. : 1.0000 Max. : 0.91999 Max. : 1.06000
## data.3353 data.3354 data.3355 data.3356
## Min. :-1.25000 Min. :-1.730 Min. :-2.55998 Min. :-1.1800
## 1st Qu.:-0.35500 1st Qu.:-0.595 1st Qu.:-0.83998 1st Qu.:-0.4925
## Median : 0.00000 Median :-0.255 Median :-0.23498 Median :-0.2300
## Mean : 0.00875 Mean :-0.136 Mean :-0.08573 Mean :-0.1594
## 3rd Qu.: 0.34250 3rd Qu.: 0.290 3rd Qu.: 0.38002 3rd Qu.: 0.1300
## Max. : 1.85000 Max. : 1.935 Max. : 3.21002 Max. : 1.2600
## data.3357 data.3358 data.3359 data.3360
## Min. :-2.2850 Min. :-2.36996 Min. :-2.2300 Min. :-1.64501
## 1st Qu.:-0.9575 1st Qu.:-0.82746 1st Qu.:-0.2300 1st Qu.:-0.46500
## Median : 0.0000 Median :-0.00998 Median : 0.0250 Median :-0.07999
## Mean :-0.1561 Mean :-0.24471 Mean :-0.0375 Mean :-0.12099
## 3rd Qu.: 0.5200 3rd Qu.: 0.36254 3rd Qu.: 0.3350 3rd Qu.: 0.21751
## Max. : 2.3750 Max. : 1.96004 Max. : 0.8800 Max. : 1.15501
## data.3361 data.3362 data.3363 data.3364
## Min. :-1.320 Min. :-3.7000 Min. :-2.5850 Min. :-2.9200
## 1st Qu.:-0.450 1st Qu.:-0.4950 1st Qu.:-0.6150 1st Qu.:-0.6725
## Median :-0.060 Median :-0.0400 Median :-0.1650 Median :-0.0250
## Mean :-0.027 Mean :-0.1534 Mean :-0.2028 Mean :-0.1978
## 3rd Qu.: 0.370 3rd Qu.: 0.3500 3rd Qu.: 0.2375 3rd Qu.: 0.2450
## Max. : 1.660 Max. : 1.3900 Max. : 1.1950 Max. : 1.7000
## data.3365 data.3366 data.3367 data.3368
## Min. :-2.2700 Min. :-2.6850 Min. :-4.35000 Min. :-2.53003
## 1st Qu.:-0.3425 1st Qu.:-0.3325 1st Qu.:-0.19500 1st Qu.:-0.43251
## Median :-0.0500 Median : 0.1100 Median : 0.43500 Median : 0.00000
## Mean :-0.1328 Mean :-0.0675 Mean : 0.09575 Mean :-0.01226
## 3rd Qu.: 0.2825 3rd Qu.: 0.6550 3rd Qu.: 1.10375 3rd Qu.: 0.56749
## Max. : 0.7700 Max. : 2.2150 Max. : 2.49996 Max. : 2.05999
## data.3369 data.3370 data.3371 data.3372
## Min. :-1.01000 Min. :-0.93998 Min. :-1.660000 Min. :-1.97000
## 1st Qu.:-0.38251 1st Qu.:-0.27248 1st Qu.:-0.042500 1st Qu.:-0.55749
## Median :-0.04500 Median :-0.05998 Median : 0.000000 Median : 0.00000
## Mean : 0.03862 Mean : 0.01439 Mean :-0.002874 Mean : 0.05713
## 3rd Qu.: 0.50499 3rd Qu.: 0.30252 3rd Qu.: 0.000000 3rd Qu.: 0.00000
## Max. : 1.38000 Max. : 1.34002 Max. : 2.670000 Max. : 4.36000
## data.3373 data.3374 data.3375 data.3376
## Min. :-2.5200 Min. :-2.164990 Min. :-0.92000 Min. :-1.3375
## 1st Qu.:-1.0525 1st Qu.:-0.773740 1st Qu.:-0.28250 1st Qu.:-0.2900
## Median : 0.0000 Median :-0.007495 Median : 0.07000 Median : 0.0425
## Mean : 0.0100 Mean :-0.137617 Mean : 0.05625 Mean : 0.0145
## 3rd Qu.: 0.1625 3rd Qu.: 0.437510 3rd Qu.: 0.33250 3rd Qu.: 0.2200
## Max. : 4.3100 Max. : 2.215010 Max. : 1.42000 Max. : 1.8925
## data.3377 data.3378 data.3379 data.3380
## Min. :-2.8100 Min. :-1.67002 Min. :-0.8500 Min. :-1.44500
## 1st Qu.:-0.2300 1st Qu.:-0.30000 1st Qu.:-0.2762 1st Qu.:-0.11250
## Median : 0.1650 Median : 0.14000 Median : 0.0250 Median : 0.01000
## Mean : 0.0595 Mean : 0.04075 Mean : 0.1512 Mean : 0.06225
## 3rd Qu.: 0.4875 3rd Qu.: 0.43250 3rd Qu.: 0.4900 3rd Qu.: 0.19250
## Max. : 0.9600 Max. : 1.10000 Max. : 1.7600 Max. : 1.03000
## data.3381 data.3382 data.3383 data.3384
## Min. :-3.5200 Min. :-3.8525 Min. :-5.13002 Min. :-2.30000
## 1st Qu.:-0.3738 1st Qu.:-0.7475 1st Qu.:-0.52503 1st Qu.:-0.48000
## Median :-0.0700 Median :-0.0300 Median :-0.02002 Median :-0.10000
## Mean :-0.1485 Mean :-0.2454 Mean :-0.36552 Mean :-0.09163
## 3rd Qu.: 0.4425 3rd Qu.: 0.4600 3rd Qu.: 0.59498 3rd Qu.: 0.53875
## Max. : 1.3600 Max. : 1.8475 Max. : 1.62998 Max. : 1.68000
## data.3385 data.3386 data.3387 data.3388
## Min. :-2.390010 Min. :-1.35500 Min. :-2.67996 Min. :-2.460
## 1st Qu.:-0.424995 1st Qu.:-0.30000 1st Qu.:-0.32246 1st Qu.:-0.620
## Median : 0.000000 Median :-0.13000 Median :-0.03997 Median :-0.270
## Mean :-0.007884 Mean :-0.07175 Mean :-0.07346 Mean :-0.247
## 3rd Qu.: 0.712490 3rd Qu.: 0.17125 3rd Qu.: 0.44254 3rd Qu.: 0.170
## Max. : 1.569990 Max. : 0.75500 Max. : 0.88004 Max. : 0.940
## data.3389 data.3390 data.3391 data.3392
## Min. :-2.07002 Min. :-0.88002 Min. :-1.475010 Min. :-1.55002
## 1st Qu.:-0.38250 1st Qu.:-0.28000 1st Qu.:-0.335010 1st Qu.:-0.44000
## Median :-0.05249 Median :-0.02501 Median : 0.000000 Median :-0.07999
## Mean :-0.08175 Mean :-0.01975 Mean :-0.006511 Mean :-0.10700
## 3rd Qu.: 0.21750 3rd Qu.: 0.25750 3rd Qu.: 0.454976 3rd Qu.: 0.23125
## Max. : 1.32998 Max. : 0.85000 Max. : 1.234990 Max. : 1.16000
## data.3393 data.3394 data.3395 data.3396
## Min. :-1.5100 Min. :-0.70996 Min. :-1.420 Min. :-0.70500
## 1st Qu.:-0.4125 1st Qu.:-0.25496 1st Qu.:-0.420 1st Qu.:-0.19000
## Median : 0.0000 Median : 0.01502 Median :-0.075 Median : 0.00000
## Mean :-0.0450 Mean : 0.02379 Mean :-0.082 Mean : 0.05562
## 3rd Qu.: 0.3175 3rd Qu.: 0.29629 3rd Qu.: 0.420 3rd Qu.: 0.40750
## Max. : 0.9800 Max. : 0.83004 Max. : 0.820 Max. : 1.13000
## data.3397 data.3398 data.3399 data.3400
## Min. :-1.20000 Min. :-1.05001 Min. :-1.18000 Min. :-1.0675
## 1st Qu.:-0.37249 1st Qu.:-0.33501 1st Qu.:-0.36000 1st Qu.:-0.3175
## Median : 0.03000 Median :-0.04000 Median : 0.00000 Median :-0.0875
## Mean :-0.05125 Mean :-0.03951 Mean :-0.07525 Mean :-0.0920
## 3rd Qu.: 0.32000 3rd Qu.: 0.29249 3rd Qu.: 0.21749 3rd Qu.: 0.0650
## Max. : 0.90000 Max. : 0.97999 Max. : 0.72000 Max. : 0.6425
## data.3401 data.3402 data.3403 data.3404
## Min. :-2.38000 Min. :-1.92002 Min. :-0.88996 Min. :-1.44000
## 1st Qu.:-0.36250 1st Qu.:-0.47000 1st Qu.:-0.24495 1st Qu.:-0.45500
## Median : 0.01998 Median : 0.00500 Median :-0.02498 Median : 0.00000
## Mean :-0.03338 Mean :-0.03938 Mean :-0.02971 Mean :-0.07475
## 3rd Qu.: 0.21250 3rd Qu.: 0.25000 3rd Qu.: 0.14254 3rd Qu.: 0.26250
## Max. : 2.95000 Max. : 3.40000 Max. : 0.68004 Max. : 0.94000
## data.3405 data.3406 data.3407 data.3408
## Min. :-0.99000 Min. :-0.94002 Min. :-0.95000 Min. :-1.2050
## 1st Qu.:-0.33250 1st Qu.:-0.28002 1st Qu.:-0.22250 1st Qu.:-0.3800
## Median : 0.00000 Median :-0.07502 Median : 0.03999 Median :-0.1050
## Mean : 0.03225 Mean :-0.01177 Mean : 0.10475 Mean :-0.1095
## 3rd Qu.: 0.34000 3rd Qu.: 0.27248 3rd Qu.: 0.56750 3rd Qu.: 0.2375
## Max. : 2.02000 Max. : 0.95996 Max. : 1.40998 Max. : 0.7650
## data.3409 data.3410 data.3411 data.3412
## Min. :-1.4800 Min. :-1.7400000 Min. :-1.75000 Min. :-0.895000
## 1st Qu.:-0.3713 1st Qu.:-0.3600000 1st Qu.:-0.27000 1st Qu.:-0.194981
## Median :-0.1000 Median :-0.0000195 Median : 0.01500 Median :-0.029971
## Mean :-0.0675 Mean :-0.0717515 Mean :-0.06875 Mean : 0.005768
## 3rd Qu.: 0.2175 3rd Qu.: 0.2950000 3rd Qu.: 0.28000 3rd Qu.: 0.308769
## Max. : 1.1200 Max. : 0.8800000 Max. : 0.85000 Max. : 0.885019
## data.3413 data.3414 data.3415 data.3416
## Min. :-1.36000 Min. :-2.3950 Min. :-0.859981 Min. :-0.80501
## 1st Qu.:-0.54000 1st Qu.:-1.2925 1st Qu.:-0.202466 1st Qu.:-0.33001
## Median :-0.13000 Median :-0.0525 Median :-0.049980 Median :-0.02001
## Mean :-0.02525 Mean :-0.2474 Mean : 0.004893 Mean :-0.03376
## 3rd Qu.: 0.49000 3rd Qu.: 0.6275 3rd Qu.: 0.132520 3rd Qu.: 0.29498
## Max. : 1.14000 Max. : 2.2800 Max. : 1.360020 Max. : 1.04499
## data.3417 data.3418 data.3419 data.3420
## Min. :-0.8950 Min. :-1.5500 Min. :-2.11001 Min. :-1.07499
## 1st Qu.:-0.2275 1st Qu.:-0.4725 1st Qu.:-0.62749 1st Qu.:-0.45749
## Median :-0.0125 Median :-0.2100 Median :-0.13748 Median :-0.06499
## Mean :-0.0165 Mean :-0.1158 Mean : 0.01726 Mean :-0.03724
## 3rd Qu.: 0.2200 3rd Qu.: 0.2600 3rd Qu.: 0.43251 3rd Qu.: 0.22251
## Max. : 0.6700 Max. : 1.4750 Max. : 3.09001 Max. : 1.67501
## data.3421 data.3422 data.3423 data.3424
## Min. :-1.07000 Min. :-1.13998 Min. :-1.56001 Min. :-0.755
## 1st Qu.:-0.27000 1st Qu.:-0.21498 1st Qu.:-0.35751 1st Qu.:-0.330
## Median :-0.03500 Median :-0.07498 Median : 0.00000 Median :-0.125
## Mean :-0.01663 Mean :-0.07161 Mean :-0.08239 Mean :-0.101
## 3rd Qu.: 0.26500 3rd Qu.: 0.11752 3rd Qu.: 0.21249 3rd Qu.: 0.135
## Max. : 1.08000 Max. : 0.59002 Max. : 1.22999 Max. : 0.705
## data.3425 data.3426 data.3427 data.3428
## Min. :-3.0400 Min. :-1.28000 Min. :-1.52500 Min. :-1.5900
## 1st Qu.:-0.4200 1st Qu.:-0.37375 1st Qu.:-0.25626 1st Qu.:-0.5725
## Median :-0.0050 Median :-0.03502 Median : 0.03000 Median :-0.1600
## Mean :-0.1025 Mean :-0.04900 Mean :-0.04875 Mean :-0.2863
## 3rd Qu.: 0.4575 3rd Qu.: 0.28250 3rd Qu.: 0.24000 3rd Qu.: 0.0525
## Max. : 1.9500 Max. : 1.25000 Max. : 0.75500 Max. : 0.5900
## data.3429 data.3430 data.3431 data.3432
## Min. :-1.82000 Min. :-1.80500 Min. :-0.8600 Min. :-1.629990
## 1st Qu.:-0.49750 1st Qu.:-0.31500 1st Qu.:-0.3125 1st Qu.:-0.264990
## Median :-0.07499 Median :-0.02000 Median :-0.0250 Median :-0.005005
## Mean :-0.08225 Mean :-0.08538 Mean : 0.0560 Mean :-0.038117
## 3rd Qu.: 0.47499 3rd Qu.: 0.16000 3rd Qu.: 0.4375 3rd Qu.: 0.262510
## Max. : 1.25000 Max. : 0.85000 Max. : 1.2600 Max. : 0.630010
## data.3433 data.3434 data.3435 data.3436
## Min. :-1.00000 Min. :-0.84998 Min. :-1.1400 Min. :-0.62000
## 1st Qu.:-0.37749 1st Qu.:-0.38748 1st Qu.:-0.3125 1st Qu.:-0.28500
## Median :-0.02500 Median :-0.04498 Median :-0.0750 Median :-0.07000
## Mean :-0.06663 Mean :-0.04323 Mean :-0.0155 Mean :-0.05575
## 3rd Qu.: 0.24875 3rd Qu.: 0.22627 3rd Qu.: 0.3450 3rd Qu.: 0.21250
## Max. : 1.04000 Max. : 1.27002 Max. : 0.9800 Max. : 0.63000
## data.3437 data.3438 data.3439 data.3440
## Min. :-1.2600 Min. :-4.815 Min. :-2.6450 Min. :-1.5450
## 1st Qu.:-0.4525 1st Qu.:-2.922 1st Qu.:-1.4975 1st Qu.:-0.4650
## Median :-0.1650 Median :-1.050 Median :-0.9250 Median :-0.1350
## Mean :-0.1210 Mean :-1.322 Mean :-0.6515 Mean :-0.1459
## 3rd Qu.: 0.1200 3rd Qu.: 0.340 3rd Qu.: 0.3675 3rd Qu.: 0.1675
## Max. : 1.1100 Max. : 1.745 Max. : 1.6750 Max. : 0.9050
## data.3441 data.3442 data.3443 data.3444
## Min. :-2.1200 Min. :-3.68000 Min. :-1.84002 Min. :-0.98000
## 1st Qu.:-0.5025 1st Qu.:-1.16250 1st Qu.:-0.57503 1st Qu.:-0.30500
## Median :-0.0700 Median :-0.05501 Median :-0.14502 Median :-0.04000
## Mean :-0.1979 Mean :-0.48350 Mean :-0.08527 Mean :-0.06025
## 3rd Qu.: 0.0900 3rd Qu.: 0.33125 3rd Qu.: 0.38498 3rd Qu.: 0.19497
## Max. : 1.1300 Max. : 1.62998 Max. : 2.57998 Max. : 0.74000
## data.3445 data.3446 data.3447 data.3448
## Min. :-2.3250 Min. :-0.920000 Min. :-2.3700 Min. :-1.89000
## 1st Qu.:-1.0125 1st Qu.:-0.210000 1st Qu.:-0.6200 1st Qu.:-0.48625
## Median :-0.2350 Median :-0.004990 Median :-0.1450 Median :-0.14502
## Mean :-0.3030 Mean :-0.004001 Mean :-0.1133 Mean :-0.04925
## 3rd Qu.: 0.5513 3rd Qu.: 0.197500 3rd Qu.: 0.3187 3rd Qu.: 0.24500
## Max. : 1.3950 Max. : 0.680000 Max. : 2.0500 Max. : 3.01000
## data.3449 data.3450 data.3451 data.3452
## Min. :-1.03000 Min. :-1.9200 Min. :-2.20500 Min. :-2.5900
## 1st Qu.:-0.32750 1st Qu.:-0.5537 1st Qu.:-0.36753 1st Qu.:-0.9525
## Median :-0.08750 Median :-0.1700 Median :-0.06499 Median :-0.1550
## Mean :-0.06925 Mean :-0.1458 Mean :-0.03188 Mean :-0.3188
## 3rd Qu.: 0.26500 3rd Qu.: 0.3525 3rd Qu.: 0.45750 3rd Qu.: 0.2875
## Max. : 0.90000 Max. : 1.9000 Max. : 1.45500 Max. : 1.8900
## data.3453 data.3454 data.3455 data.3456
## Min. :-2.7600 Min. :-1.3350 Min. :-2.00000 Min. :-1.3500
## 1st Qu.:-0.8850 1st Qu.:-0.2800 1st Qu.:-0.46250 1st Qu.:-0.3650
## Median :-0.2475 Median :-0.0025 Median : 0.00000 Median :-0.1050
## Mean :-0.2698 Mean :-0.1083 Mean :-0.02438 Mean :-0.1475
## 3rd Qu.: 0.4313 3rd Qu.: 0.1175 3rd Qu.: 0.49625 3rd Qu.: 0.1850
## Max. : 2.4500 Max. : 0.6950 Max. : 1.39998 Max. : 0.9950
## data.3457 data.3458 data.3459 data.3460
## Min. :-2.09000 Min. :-0.8700 Min. :-1.67000 Min. :-2.03000
## 1st Qu.:-0.39250 1st Qu.:-0.2675 1st Qu.:-0.38000 1st Qu.:-0.75750
## Median :-0.06502 Median :-0.0050 Median : 0.00000 Median :-0.09250
## Mean :-0.12925 Mean : 0.1099 Mean : 0.04312 Mean :-0.04875
## 3rd Qu.: 0.27500 3rd Qu.: 0.3350 3rd Qu.: 0.33500 3rd Qu.: 0.67750
## Max. : 1.57000 Max. : 2.0700 Max. : 2.09000 Max. : 1.53000
## data.3461 data.3462 data.3463 data.3464
## Min. :-1.21501 Min. :-0.68000 Min. :-1.2000 Min. :-2.980000
## 1st Qu.:-0.33001 1st Qu.:-0.37000 1st Qu.:-0.5400 1st Qu.:-1.035000
## Median : 0.01750 Median : 0.00000 Median : 0.0000 Median :-0.437500
## Mean : 0.01549 Mean :-0.04338 Mean : 0.2085 Mean : 0.002249
## 3rd Qu.: 0.29750 3rd Qu.: 0.13750 3rd Qu.: 0.2800 3rd Qu.: 1.246250
## Max. : 1.11499 Max. : 0.79000 Max. : 2.9600 Max. : 3.360000
## data.3465 data.3466 data.3467 data.3468
## Min. :-2.25002 Min. :-2.16000 Min. :-2.5600 Min. :-0.65998
## 1st Qu.:-0.50750 1st Qu.:-0.59000 1st Qu.:-0.7125 1st Qu.:-0.22500
## Median :-0.05500 Median :-0.05500 Median :-0.0750 Median : 0.00000
## Mean :-0.09475 Mean :-0.04725 Mean :-0.1213 Mean : 0.01964
## 3rd Qu.: 0.44250 3rd Qu.: 0.62374 3rd Qu.: 0.6813 3rd Qu.: 0.27250
## Max. : 1.10000 Max. : 1.36000 Max. : 1.5700 Max. : 0.77002
## data.3469 data.3470 data.3471 data.3472
## Min. :-8.45e-01 Min. :-1.1050000 Min. :-1.410000 Min. :-1.8650
## 1st Qu.:-4.40e-01 1st Qu.:-0.4575000 1st Qu.:-0.667500 1st Qu.:-0.3975
## Median :-1.00e-02 Median : 0.0100000 Median : 0.000000 Median : 0.3600
## Mean :-1.50e-06 Mean :-0.0002515 Mean : 0.003123 Mean : 0.1997
## 3rd Qu.: 2.50e-01 3rd Qu.: 0.3200146 3rd Qu.: 0.385000 3rd Qu.: 0.7950
## Max. : 1.34e+00 Max. : 1.8850000 Max. : 2.350000 Max. : 2.6550
## data.3473 data.3474 data.3475 data.3476
## Min. :-1.93500 Min. :-1.11002 Min. :-0.915 Min. :-1.14501
## 1st Qu.:-0.68250 1st Qu.:-0.28000 1st Qu.:-0.370 1st Qu.:-0.24499
## Median : 0.01000 Median :-0.01500 Median : 0.070 Median :-0.04000
## Mean : 0.05675 Mean : 0.03525 Mean : 0.090 Mean :-0.03274
## 3rd Qu.: 0.70375 3rd Qu.: 0.29000 3rd Qu.: 0.555 3rd Qu.: 0.29752
## Max. : 2.47500 Max. : 1.86000 Max. : 1.475 Max. : 1.39001
## data.3477 data.3478 data.3479 data.3480
## Min. :-1.9200 Min. :-1.140 Min. :-0.9700 Min. :-1.96000
## 1st Qu.:-0.5200 1st Qu.:-0.370 1st Qu.:-0.2950 1st Qu.:-0.50500
## Median : 0.0000 Median :-0.125 Median : 0.0300 Median : 0.07500
## Mean :-0.1258 Mean :-0.054 Mean : 0.0555 Mean : 0.04462
## 3rd Qu.: 0.2950 3rd Qu.: 0.325 3rd Qu.: 0.4025 3rd Qu.: 0.59750
## Max. : 1.2250 Max. : 0.980 Max. : 1.0800 Max. : 1.79000
## data.3481 data.3482 data.3483 data.3484
## Min. :-1.70000 Min. :-1.66998 Min. :-0.63998 Min. :-1.74000
## 1st Qu.:-0.63250 1st Qu.:-0.44248 1st Qu.:-0.21997 1st Qu.:-0.37251
## Median : 0.03000 Median : 0.00000 Median : 0.02501 Median :-0.06500
## Mean :-0.08063 Mean :-0.07261 Mean : 0.07727 Mean : 0.08437
## 3rd Qu.: 0.46750 3rd Qu.: 0.30252 3rd Qu.: 0.33252 3rd Qu.: 0.37999
## Max. : 1.06500 Max. : 1.22002 Max. : 0.91002 Max. : 2.72000
## data.3485 data.3486 data.3487 data.3488
## Min. :-1.1700 Min. :-0.9925 Min. :-0.9300 Min. :-2.3975
## 1st Qu.:-0.3200 1st Qu.:-0.5475 1st Qu.:-0.4100 1st Qu.:-0.5550
## Median : 0.0000 Median :-0.1125 Median :-0.2000 Median :-0.0575
## Mean : 0.1829 Mean :-0.1798 Mean :-0.0710 Mean :-0.2430
## 3rd Qu.: 0.6650 3rd Qu.: 0.0725 3rd Qu.: 0.2625 3rd Qu.: 0.3600
## Max. : 2.4600 Max. : 0.8375 Max. : 1.0700 Max. : 1.0425
## data.3489 data.3490 data.3491 data.3492
## Min. :-0.84750 Min. :-1.7800 Min. :-2.1200 Min. :-0.7700
## 1st Qu.:-0.42000 1st Qu.:-0.6475 1st Qu.:-0.6825 1st Qu.:-0.2000
## Median :-0.06001 Median : 0.0000 Median : 0.0000 Median : 0.0050
## Mean :-0.09125 Mean : 0.5331 Mean : 0.3792 Mean : 0.1072
## 3rd Qu.: 0.14250 3rd Qu.: 1.7875 3rd Qu.: 0.8700 3rd Qu.: 0.2825
## Max. : 0.85250 Max. : 4.2600 Max. : 4.2000 Max. : 2.1500
## data.3493 data.3494 data.3495 data.3496
## Min. :-2.13500 Min. :-2.7950 Min. :-1.85004 Min. :-1.5000
## 1st Qu.:-0.57750 1st Qu.:-1.0600 1st Qu.:-0.94252 1st Qu.:-0.6800
## Median : 0.00000 Median :-0.1100 Median : 0.00000 Median :-0.0750
## Mean : 0.02887 Mean :-0.1610 Mean :-0.01877 Mean :-0.1753
## 3rd Qu.: 0.56750 3rd Qu.: 0.7312 3rd Qu.: 0.79248 3rd Qu.: 0.4113
## Max. : 1.92500 Max. : 1.9650 Max. : 1.80998 Max. : 0.9800
## data.3497 data.3498 data.3499 data.3500
## Min. :-1.7200 Min. :-1.8600 Min. :-0.70000 Min. :-1.37001
## 1st Qu.:-0.7100 1st Qu.:-0.5250 1st Qu.:-0.24000 1st Qu.:-0.43748
## Median : 0.0000 Median : 0.0000 Median :-0.01000 Median :-0.02999
## Mean :-0.1258 Mean : 0.0805 Mean : 0.02025 Mean :-0.05987
## 3rd Qu.: 0.4775 3rd Qu.: 0.5962 3rd Qu.: 0.30750 3rd Qu.: 0.13251
## Max. : 1.4200 Max. : 2.3000 Max. : 0.67000 Max. : 1.82001
## data.3501 data.3502 data.3503 data.3504
## Min. :-2.54501 Min. :-3.7450 Min. :-1.100000 Min. :-1.75002
## 1st Qu.:-0.60499 1st Qu.:-0.9825 1st Qu.:-0.277500 1st Qu.:-0.34750
## Median : 0.03000 Median : 0.1400 Median : 0.000000 Median : 0.00000
## Mean :-0.08924 Mean :-0.3058 Mean :-0.001002 Mean :-0.03863
## 3rd Qu.: 0.49751 3rd Qu.: 0.5400 3rd Qu.: 0.313750 3rd Qu.: 0.29250
## Max. : 1.49503 Max. : 2.5950 Max. : 0.860000 Max. : 0.99000
## data.3505 data.3506 data.3507 data.3508
## Min. :-1.96502 Min. :-1.01998 Min. :-1.780000 Min. :-1.164990
## 1st Qu.:-0.23375 1st Qu.:-0.32500 1st Qu.:-0.247534 1st Qu.:-0.384990
## Median : 0.05500 Median : 0.06999 Median : 0.014981 Median : 0.080010
## Mean : 0.07675 Mean : 0.02825 Mean : 0.005479 Mean :-0.003742
## 3rd Qu.: 0.42751 3rd Qu.: 0.36750 3rd Qu.: 0.369995 3rd Qu.: 0.327510
## Max. : 1.17500 Max. : 1.01000 Max. : 1.179980 Max. : 1.095010
## data.3509 data.3510 data.3511 data.3512
## Min. :-1.24500 Min. :-1.06500 Min. :-1.6700 Min. :-1.3050
## 1st Qu.:-0.33750 1st Qu.:-0.09251 1st Qu.:-0.6262 1st Qu.:-0.1975
## Median : 0.03500 Median : 0.14500 Median :-0.0600 Median : 0.0750
## Mean : 0.02475 Mean : 0.22675 Mean :-0.1324 Mean : 0.1231
## 3rd Qu.: 0.49000 3rd Qu.: 0.70750 3rd Qu.: 0.3200 3rd Qu.: 0.5725
## Max. : 1.31500 Max. : 1.44500 Max. : 2.6900 Max. : 0.9400
## data.3513 data.3514 data.3515 data.3516
## Min. :-0.51500 Min. :-0.69000 Min. :-1.43498 Min. :-1.94000
## 1st Qu.:-0.17250 1st Qu.:-0.21748 1st Qu.:-0.41000 1st Qu.:-0.22250
## Median : 0.07500 Median : 0.00000 Median :-0.05000 Median : 0.00000
## Mean : 0.02225 Mean : 0.03087 Mean :-0.05325 Mean :-0.02313
## 3rd Qu.: 0.21749 3rd Qu.: 0.23250 3rd Qu.: 0.30250 3rd Qu.: 0.08750
## Max. : 0.60000 Max. : 1.54998 Max. : 1.74500 Max. : 0.86998
## data.3517 data.3518 data.3519 data.3520
## Min. :-1.00498 Min. :-1.6650 Min. :-1.8350 Min. :-0.6200
## 1st Qu.:-0.52751 1st Qu.:-0.5075 1st Qu.:-0.2725 1st Qu.:-0.1963
## Median : 0.02750 Median : 0.0000 Median :-0.0700 Median :-0.0800
## Mean :-0.03063 Mean : 0.7957 Mean : 0.2252 Mean :-0.0385
## 3rd Qu.: 0.35751 3rd Qu.: 1.5925 3rd Qu.: 0.2600 3rd Qu.: 0.1050
## Max. : 1.78500 Max. : 5.9450 Max. : 3.4550 Max. : 0.7000
## data.3521 data.3522 data.3523 data.3524
## Min. :-1.2500 Min. :-0.72500 Min. :-2.9250 Min. :-1.360020
## 1st Qu.:-0.3125 1st Qu.:-0.26998 1st Qu.:-0.6512 1st Qu.:-0.572519
## Median :-0.0475 Median : 0.03002 Median :-0.0500 Median :-0.040019
## Mean :-0.0110 Mean : 0.09502 Mean : 0.0135 Mean : 0.003854
## 3rd Qu.: 0.3100 3rd Qu.: 0.35002 3rd Qu.: 0.8462 3rd Qu.: 0.472481
## Max. : 1.2100 Max. : 1.52502 Max. : 2.5150 Max. : 2.404981
## data.3525 data.3526 data.3527 data.3528
## Min. :-5.1250 Min. :-0.8600098 Min. :-0.9750 Min. :-1.36500
## 1st Qu.:-2.6200 1st Qu.:-0.2050098 1st Qu.:-0.3850 1st Qu.:-0.38750
## Median : 0.0000 Median :-0.0000049 Median : 0.0000 Median :-0.08001
## Mean :-0.7225 Mean : 0.0399890 Mean : 0.0895 Mean : 0.01425
## 3rd Qu.: 0.2375 3rd Qu.: 0.3649951 3rd Qu.: 0.6750 3rd Qu.: 0.44625
## Max. : 3.2050 Max. : 1.1799900 Max. : 1.4000 Max. : 1.42500
## data.3529 data.3530 data.3531 data.3532
## Min. :-1.53999 Min. :-1.667500 Min. :-1.36000 Min. :-2.2800
## 1st Qu.:-0.36749 1st Qu.:-0.357500 1st Qu.:-0.54750 1st Qu.:-0.4550
## Median :-0.06500 Median :-0.077500 Median :-0.00500 Median : 0.0000
## Mean :-0.03474 Mean : 0.001749 Mean :-0.03525 Mean :-0.1005
## 3rd Qu.: 0.32001 3rd Qu.: 0.387471 3rd Qu.: 0.39247 3rd Qu.: 0.3700
## Max. : 1.46001 Max. : 1.482500 Max. : 1.41000 Max. : 1.6500
## data.3533 data.3534 data.3535 data.3536
## Min. :-3.3650 Min. :-3.5400 Min. :-3.2650 Min. :-1.94498
## 1st Qu.:-0.5450 1st Qu.:-0.5200 1st Qu.:-0.4450 1st Qu.:-0.38749
## Median : 0.0000 Median :-0.0550 Median :-0.0400 Median :-0.09498
## Mean :-0.1018 Mean :-0.1435 Mean :-0.0320 Mean :-0.07423
## 3rd Qu.: 0.5625 3rd Qu.: 0.5525 3rd Qu.: 0.8325 3rd Qu.: 0.41752
## Max. : 2.1650 Max. : 2.0600 Max. : 2.2250 Max. : 1.72502
## data.3537 data.3538 data.3539 data.3540
## Min. :-3.3400 Min. :-1.352520 Min. :-1.8200 Min. :-0.95000
## 1st Qu.:-0.4925 1st Qu.:-0.312520 1st Qu.:-0.7350 1st Qu.:-0.34750
## Median :-0.0400 Median :-0.082500 Median :-0.1550 Median : 0.00501
## Mean :-0.0255 Mean :-0.002252 Mean :-0.1435 Mean : 0.02950
## 3rd Qu.: 0.7175 3rd Qu.: 0.272500 3rd Qu.: 0.5775 3rd Qu.: 0.38250
## Max. : 2.1000 Max. : 1.117500 Max. : 1.3900 Max. : 1.63002
## data.3541 data.3542 data.3543 data.3544
## Min. :-1.3200 Min. :-0.66502 Min. :-6.9400 Min. :-1.8100000
## 1st Qu.:-0.2175 1st Qu.:-0.26000 1st Qu.:-0.8825 1st Qu.:-0.3074854
## Median : 0.0000 Median : 0.01000 Median :-0.2475 Median :-0.0000098
## Mean : 0.0295 Mean :-0.03425 Mean :-0.6992 Mean :-0.0285015
## 3rd Qu.: 0.3400 3rd Qu.: 0.16250 3rd Qu.: 0.3275 3rd Qu.: 0.3250000
## Max. : 1.4300 Max. : 0.83000 Max. : 2.3000 Max. : 1.2400000
## data.3545 data.3546 data.3547 data.3548
## Min. :-1.6100 Min. :-5.28000 Min. :-1.40004 Min. :-1.35002
## 1st Qu.:-0.5475 1st Qu.:-0.58000 1st Qu.:-0.30377 1st Qu.:-0.26000
## Median :-0.1500 Median :-0.08502 Median :-0.03002 Median :-0.01500
## Mean :-0.2157 Mean :-0.34225 Mean :-0.09602 Mean :-0.05225
## 3rd Qu.: 0.1200 3rd Qu.: 0.30750 3rd Qu.: 0.15998 3rd Qu.: 0.19000
## Max. : 0.9400 Max. : 1.98000 Max. : 0.76000 Max. : 0.80000
## data.3549 data.3550 data.3551 data.3552
## Min. :-1.99002 Min. :-3.1100 Min. :-1.78500 Min. :-1.20500
## 1st Qu.:-0.25250 1st Qu.:-0.3150 1st Qu.:-0.35998 1st Qu.:-0.48875
## Median : 0.01500 Median :-0.0600 Median :-0.02498 Median :-0.01501
## Mean :-0.08275 Mean :-0.1278 Mean :-0.08173 Mean :-0.12400
## 3rd Qu.: 0.22000 3rd Qu.: 0.1688 3rd Qu.: 0.23002 3rd Qu.: 0.17500
## Max. : 0.82000 Max. : 0.8600 Max. : 1.31502 Max. : 0.77500
## data.3553 data.3554 data.3555 data.3556
## Min. :-2.95998 Min. :-2.3900 Min. :-2.26502 Min. :-2.20000
## 1st Qu.:-0.64498 1st Qu.:-0.3925 1st Qu.:-0.48750 1st Qu.:-0.41748
## Median :-0.06998 Median :-0.0175 Median : 0.01250 Median :-0.05998
## Mean :-0.28798 Mean :-0.1490 Mean :-0.03888 Mean :-0.12248
## 3rd Qu.: 0.25252 3rd Qu.: 0.3475 3rd Qu.: 0.43249 3rd Qu.: 0.24752
## Max. : 1.30002 Max. : 1.8700 Max. : 1.22500 Max. : 1.08002
## data.3557 data.3558 data.3559 data.3560
## Min. :-2.62503 Min. :-2.9875 Min. :-1.25000 Min. :-4.5800
## 1st Qu.:-0.38501 1st Qu.:-0.5975 1st Qu.:-0.39750 1st Qu.:-0.7250
## Median :-0.06501 Median : 0.0825 Median : 0.00000 Median : 0.0900
## Mean :-0.06526 Mean :-0.1210 Mean : 0.02612 Mean :-0.3760
## 3rd Qu.: 0.35999 3rd Qu.: 0.5425 3rd Qu.: 0.52000 3rd Qu.: 0.4075
## Max. : 1.05499 Max. : 1.3325 Max. : 1.84000 Max. : 2.4500
## data.3561 data.3562 data.3563 data.3564
## Min. :-1.90002 Min. :-1.4925 Min. :-3.41002 Min. :-1.6500
## 1st Qu.:-0.49500 1st Qu.:-0.2300 1st Qu.:-0.27998 1st Qu.:-0.3825
## Median :-0.03000 Median : 0.2425 Median : 0.09000 Median :-0.0400
## Mean :-0.01888 Mean : 0.2177 Mean : 0.03425 Mean :-0.1193
## 3rd Qu.: 0.44000 3rd Qu.: 0.6700 3rd Qu.: 0.49000 3rd Qu.: 0.2213
## Max. : 1.76500 Max. : 1.3975 Max. : 1.67000 Max. : 1.0200
## data.3565 data.3566 data.3567 data.3568
## Min. :-0.94002 Min. :-1.38251 Min. :-1.285 Min. :-0.7800
## 1st Qu.:-0.20000 1st Qu.:-0.29749 1st Qu.:-0.220 1st Qu.:-0.1575
## Median : 0.03500 Median : 0.02501 Median : 0.070 Median : 0.0600
## Mean : 0.07025 Mean : 0.02238 Mean : 0.043 Mean : 0.1010
## 3rd Qu.: 0.28250 3rd Qu.: 0.35752 3rd Qu.: 0.275 3rd Qu.: 0.2925
## Max. : 1.21000 Max. : 0.86251 Max. : 1.480 Max. : 1.4050
## data.3569 data.3570 data.3571 data.3572
## Min. :-1.74000 Min. :-1.98500 Min. :-0.630000 Min. :-1.5200
## 1st Qu.:-0.53000 1st Qu.:-0.63500 1st Qu.:-0.322500 1st Qu.:-0.5125
## Median :-0.01502 Median :-0.04502 Median :-0.072500 Median :-0.2200
## Mean :-0.08425 Mean :-0.16763 Mean :-0.005502 Mean :-0.1658
## 3rd Qu.: 0.40750 3rd Qu.: 0.28500 3rd Qu.: 0.285000 3rd Qu.: 0.2000
## Max. : 1.50000 Max. : 1.48500 Max. : 1.030000 Max. : 1.8400
## data.3573 data.3574 data.3575 data.3576
## Min. :-1.4000 Min. :-0.87000 Min. :-0.85500 Min. :-1.31998
## 1st Qu.:-0.5212 1st Qu.:-0.22250 1st Qu.:-0.37500 1st Qu.:-0.39750
## Median :-0.1100 Median :-0.04250 Median :-0.05999 Median :-0.07002
## Mean :-0.1465 Mean :-0.02325 Mean :-0.08000 Mean :-0.09500
## 3rd Qu.: 0.1925 3rd Qu.: 0.13500 3rd Qu.: 0.08750 3rd Qu.: 0.28000
## Max. : 1.7800 Max. : 0.78000 Max. : 1.24500 Max. : 0.82000
## data.3577 data.3578 data.3579 data.3580
## Min. :-1.21501 Min. :-2.45501 Min. :-0.83000 Min. :-0.76000
## 1st Qu.:-0.25752 1st Qu.:-0.74501 1st Qu.:-0.26253 1st Qu.:-0.41000
## Median :-0.02501 Median :-0.07001 Median :-0.01000 Median :-0.03500
## Mean :-0.03326 Mean :-0.07326 Mean :-0.01775 Mean :-0.04625
## 3rd Qu.: 0.23999 3rd Qu.: 0.46999 3rd Qu.: 0.20251 3rd Qu.: 0.25250
## Max. : 1.33499 Max. : 3.03499 Max. : 0.81000 Max. : 0.90000
## data.3581 data.3582 data.3583 data.3584
## Min. :-0.93500 Min. :-0.95500 Min. :-1.170000 Min. :-1.49501
## 1st Qu.:-0.33749 1st Qu.:-0.37000 1st Qu.:-0.282500 1st Qu.:-0.28501
## Median :-0.03500 Median : 0.02501 Median : 0.010000 Median :-0.05501
## Mean :-0.02825 Mean : 0.06962 Mean :-0.007502 Mean :-0.08901
## 3rd Qu.: 0.25000 3rd Qu.: 0.39500 3rd Qu.: 0.327500 3rd Qu.: 0.17499
## Max. : 0.80000 Max. : 1.39498 Max. : 1.209980 Max. : 0.96499
## data.3585 data.3586 data.3587 data.3588
## Min. :-1.100020 Min. :-0.830000 Min. :-1.2900 Min. :-1.250000
## 1st Qu.:-0.270000 1st Qu.:-0.262500 1st Qu.:-0.2875 1st Qu.:-0.265000
## Median : 0.005010 Median : 0.005000 Median : 0.0000 Median :-0.015000
## Mean :-0.005751 Mean :-0.001752 Mean :-0.0340 Mean :-0.008502
## 3rd Qu.: 0.236250 3rd Qu.: 0.237515 3rd Qu.: 0.2075 3rd Qu.: 0.295000
## Max. : 1.020000 Max. : 0.800000 Max. : 0.7100 Max. : 1.130000
## data.3589 data.3590 data.3591 data.3592
## Min. :-1.18998 Min. :-1.11500 Min. :-0.86000 Min. :-0.770000
## 1st Qu.:-0.32750 1st Qu.:-0.26125 1st Qu.:-0.21502 1st Qu.:-0.373750
## Median :-0.06500 Median : 0.00000 Median :-0.01001 Median :-0.015000
## Mean :-0.09025 Mean : 0.04125 Mean : 0.02723 Mean :-0.004751
## 3rd Qu.: 0.12500 3rd Qu.: 0.46500 3rd Qu.: 0.30748 3rd Qu.: 0.247500
## Max. : 1.04000 Max. : 1.11500 Max. : 0.96998 Max. : 1.320000
## data.3593 data.3594 data.3595 data.3596
## Min. :-0.865000 Min. :-1.18000 Min. :-1.0600 Min. :-1.08503
## 1st Qu.:-0.243730 1st Qu.:-0.17750 1st Qu.:-0.3525 1st Qu.:-0.45001
## Median : 0.012519 Median : 0.06000 Median :-0.0400 Median :-0.07001
## Mean :-0.005982 Mean : 0.05275 Mean : 0.0440 Mean :-0.06626
## 3rd Qu.: 0.265015 3rd Qu.: 0.38250 3rd Qu.: 0.6000 3rd Qu.: 0.36749
## Max. : 1.145019 Max. : 1.06000 Max. : 1.4700 Max. : 1.36499
## data.3597 data.3598 data.3599 data.3600
## Min. :-1.11000 Min. :-0.8700 Min. :-1.950 Min. :-1.60002
## 1st Qu.:-0.28000 1st Qu.:-0.2275 1st Qu.:-0.280 1st Qu.:-0.30003
## Median :-0.01250 Median : 0.0075 Median : 0.000 Median : 0.03001
## Mean : 0.06262 Mean :-0.0580 Mean :-0.117 Mean : 0.01850
## 3rd Qu.: 0.44000 3rd Qu.: 0.1750 3rd Qu.: 0.270 3rd Qu.: 0.39250
## Max. : 1.26500 Max. : 0.4750 Max. : 0.800 Max. : 1.04000
## data.3601 data.3602 data.3603 data.3604
## Min. :-0.9850 Min. :-1.089990 Min. :-0.94001 Min. :-0.710000
## 1st Qu.:-0.2475 1st Qu.:-0.224990 1st Qu.:-0.41501 1st Qu.:-0.330005
## Median : 0.0150 Median : 0.004995 Median : 0.00000 Median :-0.005019
## Mean : 0.0210 Mean :-0.022367 Mean :-0.04301 Mean :-0.052876
## 3rd Qu.: 0.3450 3rd Qu.: 0.192481 3rd Qu.: 0.18624 3rd Qu.: 0.087500
## Max. : 0.9050 Max. : 0.710010 Max. : 0.99999 Max. : 0.810000
## data.3605 data.3606 data.3607 data.3608
## Min. :-1.5100 Min. :-1.189990 Min. :-1.0200 Min. :-1.35001
## 1st Qu.:-0.3450 1st Qu.:-0.464990 1st Qu.:-0.3200 1st Qu.:-0.31751
## Median :-0.1000 Median :-0.007495 Median :-0.0500 Median :-0.01501
## Mean :-0.1058 Mean :-0.099367 Mean :-0.0175 Mean :-0.03101
## 3rd Qu.: 0.1600 3rd Qu.: 0.277481 3rd Qu.: 0.4212 3rd Qu.: 0.34374
## Max. : 0.7250 Max. : 0.805010 Max. : 0.9350 Max. : 1.13999
## data.3609 data.3610 data.3611 data.3612
## Min. :-1.5000 Min. :-1.25500 Min. :-0.8800000 Min. :-0.810
## 1st Qu.:-0.2725 1st Qu.:-0.20753 1st Qu.:-0.2500000 1st Qu.:-0.190
## Median :-0.0225 Median : 0.00500 Median :-0.0200000 Median : 0.020
## Mean :-0.0470 Mean :-0.01125 Mean :-0.0005015 Mean : 0.077
## 3rd Qu.: 0.2825 3rd Qu.: 0.16499 3rd Qu.: 0.2199854 3rd Qu.: 0.310
## Max. : 0.8300 Max. : 0.90502 Max. : 0.9900000 Max. : 0.900
## data.3613 data.3614 data.3615 data.3616
## Min. :-0.8000 Min. :-0.8800 Min. :-0.93250 Min. :-0.79996
## 1st Qu.:-0.3300 1st Qu.:-0.3825 1st Qu.:-0.16500 1st Qu.:-0.26246
## Median :-0.0050 Median :-0.0200 Median :-0.00250 Median :-0.00498
## Mean :-0.0530 Mean :-0.0485 Mean :-0.01525 Mean : 0.04779
## 3rd Qu.: 0.1875 3rd Qu.: 0.2300 3rd Qu.: 0.29750 3rd Qu.: 0.34501
## Max. : 1.2400 Max. : 1.1300 Max. : 0.82748 Max. : 0.99004
## data.3617 data.3618 data.3619 data.3620
## Min. :-0.77498 Min. :-0.99000 Min. :-0.74000 Min. :-0.84002
## 1st Qu.:-0.33498 1st Qu.:-0.27250 1st Qu.:-0.29000 1st Qu.:-0.14252
## Median :-0.02498 Median : 0.01500 Median :-0.07499 Median :-0.03502
## Mean :-0.02448 Mean :-0.01963 Mean :-0.06700 Mean : 0.03573
## 3rd Qu.: 0.24252 3rd Qu.: 0.28250 3rd Qu.: 0.16750 3rd Qu.: 0.23995
## Max. : 0.93502 Max. : 0.65000 Max. : 0.62000 Max. : 1.17998
## data.3621 data.3622 data.3623 data.3624
## Min. :-1.4000 Min. :-1.030000 Min. :-1.6100 Min. :-0.88502
## 1st Qu.:-0.3225 1st Qu.:-0.303750 1st Qu.:-0.3650 1st Qu.:-0.25750
## Median :-0.0100 Median :-0.010000 Median : 0.0050 Median :-0.03752
## Mean :-0.0340 Mean : 0.002998 Mean :-0.1018 Mean :-0.06450
## 3rd Qu.: 0.3500 3rd Qu.: 0.322500 3rd Qu.: 0.2125 3rd Qu.: 0.16750
## Max. : 0.8800 Max. : 0.960020 Max. : 0.8500 Max. : 0.57498
## data.3625 data.3626 data.3627 data.3628
## Min. :-1.0300 Min. :-1.2350 Min. :-0.73000 Min. :-0.57998
## 1st Qu.:-0.2275 1st Qu.:-0.3775 1st Qu.:-0.30250 1st Qu.:-0.19998
## Median : 0.0000 Median :-0.2000 Median :-0.04001 Median :-0.00999
## Mean :-0.0290 Mean :-0.1788 Mean :-0.05225 Mean : 0.09577
## 3rd Qu.: 0.2625 3rd Qu.: 0.0775 3rd Qu.: 0.17000 3rd Qu.: 0.37252
## Max. : 0.8600 Max. : 0.6600 Max. : 0.64000 Max. : 1.21002
## data.3629 data.3630 data.3631 data.3632
## Min. :-0.90502 Min. :-0.8200 Min. :-0.6200 Min. :-0.85000
## 1st Qu.:-0.48498 1st Qu.:-0.4325 1st Qu.:-0.3713 1st Qu.:-0.24125
## Median :-0.09497 Median :-0.0750 Median :-0.0650 Median :-0.03500
## Mean :-0.04798 Mean :-0.1090 Mean :-0.0435 Mean :-0.02063
## 3rd Qu.: 0.28502 3rd Qu.: 0.1600 3rd Qu.: 0.2775 3rd Qu.: 0.24500
## Max. : 0.88502 Max. : 0.9400 Max. : 0.8100 Max. : 0.82000
## data.3633 data.3634 data.3635 data.3636
## Min. :-0.6800195 Min. :-1.4000 Min. :-0.8000 Min. :-1.32002
## 1st Qu.:-0.2424805 1st Qu.:-0.5150 1st Qu.:-0.2925 1st Qu.:-0.25250
## Median : 0.0000098 Median : 0.0000 Median : 0.0250 Median :-0.01000
## Mean : 0.0292681 Mean :-0.1133 Mean : 0.0465 Mean :-0.09450
## 3rd Qu.: 0.2600195 3rd Qu.: 0.2625 3rd Qu.: 0.3575 3rd Qu.: 0.08251
## Max. : 0.9400195 Max. : 0.8900 Max. : 1.5000 Max. : 0.60000
## data.3637 data.3638 data.3639 data.3640
## Min. :-1.30002 Min. :-0.83500 Min. :-0.6800 Min. :-0.9300
## 1st Qu.:-0.35500 1st Qu.:-0.36250 1st Qu.:-0.4150 1st Qu.:-0.5337
## Median :-0.17500 Median :-0.01000 Median :-0.1350 Median :-0.1200
## Mean :-0.11750 Mean :-0.04775 Mean :-0.1020 Mean :-0.1133
## 3rd Qu.: 0.08751 3rd Qu.: 0.15751 3rd Qu.: 0.1525 3rd Qu.: 0.1750
## Max. : 1.59000 Max. : 1.26500 Max. : 0.7000 Max. : 1.2800
## data.3641 data.3642 data.3643 data.3644
## Min. :-0.925 Min. :-1.09998 Min. :-0.849990 Min. :-1.4200
## 1st Qu.:-0.345 1st Qu.:-0.42622 1st Qu.:-0.364985 1st Qu.:-0.4400
## Median :-0.105 Median :-0.00499 Median :-0.015000 Median :-0.1300
## Mean :-0.083 Mean :-0.07198 Mean : 0.007508 Mean :-0.0790
## 3rd Qu.: 0.195 3rd Qu.: 0.24002 3rd Qu.: 0.278760 3rd Qu.: 0.2975
## Max. : 0.985 Max. : 1.12002 Max. : 1.490010 Max. : 1.2500
## data.3645 data.3646 data.3647 data.3648
## Min. :-1.0750 Min. :-1.6800 Min. :-1.3625 Min. :-2.2400
## 1st Qu.:-0.3025 1st Qu.:-0.6475 1st Qu.:-0.4625 1st Qu.:-0.3825
## Median :-0.1050 Median :-0.1400 Median :-0.0175 Median :-0.0400
## Mean :-0.0450 Mean :-0.2030 Mean :-0.1619 Mean :-0.1823
## 3rd Qu.: 0.1675 3rd Qu.: 0.1725 3rd Qu.: 0.1450 3rd Qu.: 0.2275
## Max. : 1.2850 Max. : 0.8000 Max. : 1.2575 Max. : 0.7700
## data.3649 data.3650 data.3651 data.3652
## Min. :-1.10500 Min. :-1.9100 Min. :-1.4800 Min. :-1.450000
## 1st Qu.:-0.36749 1st Qu.:-0.5650 1st Qu.:-0.3875 1st Qu.:-0.403750
## Median :-0.09500 Median :-0.1000 Median :-0.1150 Median : 0.074990
## Mean :-0.09925 Mean :-0.2525 Mean :-0.0670 Mean : 0.005749
## 3rd Qu.: 0.20749 3rd Qu.: 0.1800 3rd Qu.: 0.3337 3rd Qu.: 0.452505
## Max. : 0.86500 Max. : 1.0800 Max. : 1.9900 Max. : 1.330000
## data.3653 data.3654 data.3655 data.3656
## Min. :-0.9000 Min. :-1.34000 Min. :-0.76502 Min. :-1.1425
## 1st Qu.:-0.1875 1st Qu.:-0.38250 1st Qu.:-0.11750 1st Qu.:-0.4250
## Median : 0.0300 Median : 0.03500 Median : 0.00000 Median : 0.0225
## Mean : 0.0240 Mean : 0.02175 Mean : 0.07975 Mean : 0.0160
## 3rd Qu.: 0.3725 3rd Qu.: 0.35750 3rd Qu.: 0.39001 3rd Qu.: 0.3250
## Max. : 0.6300 Max. : 1.19000 Max. : 0.87500 Max. : 1.5575
## data.3657 data.3658 data.3659 data.3660
## Min. :-0.89000 Min. :-1.46002 Min. :-1.69000 Min. :-2.3100
## 1st Qu.:-0.27500 1st Qu.:-0.47252 1st Qu.:-0.63000 1st Qu.:-0.6700
## Median :-0.00500 Median :-0.00501 Median :-0.03500 Median :-0.1200
## Mean : 0.01575 Mean :-0.03177 Mean :-0.04125 Mean :-0.1663
## 3rd Qu.: 0.35250 3rd Qu.: 0.34248 3rd Qu.: 0.43250 3rd Qu.: 0.2175
## Max. : 1.08000 Max. : 1.77998 Max. : 1.72000 Max. : 1.1100
## data.3661 data.3662 data.3663 data.3664
## Min. :-1.56500 Min. :-1.79996 Min. :-2.2300 Min. :-1.12500
## 1st Qu.:-0.72750 1st Qu.:-0.31746 1st Qu.:-0.3825 1st Qu.:-0.31000
## Median :-0.00750 Median :-0.00998 Median : 0.0000 Median : 0.06500
## Mean :-0.09063 Mean : 0.05504 Mean :-0.0495 Mean : 0.03325
## 3rd Qu.: 0.35500 3rd Qu.: 0.58254 3rd Qu.: 0.4700 3rd Qu.: 0.30750
## Max. : 1.30496 Max. : 1.32002 Max. : 1.3100 Max. : 1.10500
## data.3665 data.3666 data.3667 data.3668
## Min. :-1.5800 Min. :-0.74500 Min. :-1.55499 Min. :-0.93000
## 1st Qu.:-0.2550 1st Qu.:-0.06623 1st Qu.:-0.27749 1st Qu.:-0.26001
## Median : 0.1350 Median : 0.00000 Median :-0.05499 Median :-0.05500
## Mean : 0.1685 Mean : 0.11801 Mean :-0.02024 Mean :-0.01125
## 3rd Qu.: 0.5900 3rd Qu.: 0.40003 3rd Qu.: 0.35501 3rd Qu.: 0.16250
## Max. : 1.5600 Max. : 1.15502 Max. : 1.17501 Max. : 1.27000
## data.3669 data.3670 data.3671 data.3672
## Min. :-2.27500 Min. :-1.1000 Min. :-1.03501 Min. :-0.704990
## 1st Qu.:-0.35375 1st Qu.:-0.2075 1st Qu.:-0.19501 1st Qu.:-0.182519
## Median : 0.00000 Median : 0.1050 Median : 0.08999 Median :-0.007505
## Mean :-0.02425 Mean : 0.0840 Mean : 0.05886 Mean :-0.017992
## 3rd Qu.: 0.37251 3rd Qu.: 0.3825 3rd Qu.: 0.43499 3rd Qu.: 0.157510
## Max. : 1.28500 Max. : 0.9750 Max. : 0.89499 Max. : 0.845010
## data.3673 data.3674 data.3675 data.3676
## Min. :-0.59000 Min. :-0.88000 Min. :-0.9750 Min. :-1.2400
## 1st Qu.:-0.24500 1st Qu.:-0.33250 1st Qu.:-0.4600 1st Qu.:-0.1975
## Median : 0.04249 Median : 0.00000 Median :-0.1650 Median : 0.0200
## Mean : 0.03075 Mean :-0.01775 Mean :-0.1815 Mean :-0.0225
## 3rd Qu.: 0.30000 3rd Qu.: 0.31250 3rd Qu.: 0.1175 3rd Qu.: 0.2462
## Max. : 0.60000 Max. : 1.10000 Max. : 0.7950 Max. : 0.7700
## data.3677 data.3678 data.3679 data.3680
## Min. :-2.6350 Min. :-0.78998 Min. :-1.85998 Min. :-3.8800
## 1st Qu.:-0.7850 1st Qu.:-0.25498 1st Qu.:-0.53998 1st Qu.:-1.1350
## Median : 0.0000 Median : 0.00000 Median : 0.00000 Median :-0.0600
## Mean :-0.2539 Mean :-0.02936 Mean :-0.06211 Mean :-0.2603
## 3rd Qu.: 0.2500 3rd Qu.: 0.19501 3rd Qu.: 0.48249 3rd Qu.: 0.4475
## Max. : 1.7050 Max. : 0.70002 Max. : 1.63002 Max. : 2.0800
## data.3681 data.3682 data.3683 data.3684
## Min. :-3.4800 Min. :-0.43998 Min. :-0.869961 Min. :-0.90501
## 1st Qu.:-1.1275 1st Qu.:-0.09500 1st Qu.:-0.144961 1st Qu.:-0.22252
## Median :-0.0300 Median : 0.06502 Median : 0.005019 Median : 0.01999
## Mean :-0.3455 Mean : 0.09302 Mean : 0.049537 Mean : 0.05099
## 3rd Qu.: 0.3325 3rd Qu.: 0.30752 3rd Qu.: 0.158804 3rd Qu.: 0.27749
## Max. : 1.7600 Max. : 0.54002 Max. : 1.080039 Max. : 1.24499
## data.3685 data.3686 data.3687 data.3688
## Min. :-0.84000 Min. :-1.06502 Min. :-0.92500 Min. :-0.83500
## 1st Qu.:-0.24500 1st Qu.:-0.37000 1st Qu.:-0.25750 1st Qu.:-0.37748
## Median : 0.12500 Median :-0.11250 Median :-0.02500 Median :-0.04498
## Mean : 0.07962 Mean :-0.05625 Mean :-0.01663 Mean :-0.06898
## 3rd Qu.: 0.41249 3rd Qu.: 0.40000 3rd Qu.: 0.29750 3rd Qu.: 0.18752
## Max. : 1.13000 Max. : 0.77500 Max. : 0.70500 Max. : 1.33500
## data.3689 data.3690 data.3691 data.3692
## Min. :-1.03002 Min. :-1.16002 Min. :-4.4800 Min. :-4.810
## 1st Qu.:-0.36250 1st Qu.:-0.33750 1st Qu.:-0.3525 1st Qu.:-0.655
## Median :-0.04000 Median : 0.02500 Median : 0.0200 Median :-0.055
## Mean :-0.04475 Mean :-0.07838 Mean :-0.2564 Mean :-0.346
## 3rd Qu.: 0.28500 3rd Qu.: 0.26500 3rd Qu.: 0.6175 3rd Qu.: 0.535
## Max. : 1.12998 Max. : 1.03000 Max. : 1.5000 Max. : 1.645
## data.3693 data.3694 data.3695 data.3696
## Min. :-1.00500 Min. :-1.28500 Min. :-0.8000195 Min. :-1.5900
## 1st Qu.:-0.23250 1st Qu.:-0.41250 1st Qu.:-0.3812842 1st Qu.:-0.4175
## Median : 0.00000 Median :-0.00500 Median :-0.0700195 Median : 0.0150
## Mean : 0.04712 Mean : 0.08775 Mean :-0.0006455 Mean :-0.0290
## 3rd Qu.: 0.44000 3rd Qu.: 0.68000 3rd Qu.: 0.2899805 3rd Qu.: 0.4975
## Max. : 1.12998 Max. : 1.49500 Max. : 1.4399610 Max. : 1.6700
## data.3697 data.3698 data.3699 data.3700
## Min. :-0.8700 Min. :-0.9800 Min. :-1.0850000 Min. :-0.9450
## 1st Qu.:-0.4125 1st Qu.:-0.2575 1st Qu.:-0.2525000 1st Qu.:-0.2925
## Median : 0.0150 Median : 0.2150 Median : 0.0100000 Median : 0.0700
## Mean : 0.0625 Mean : 0.0445 Mean :-0.0000015 Mean : 0.0675
## 3rd Qu.: 0.4900 3rd Qu.: 0.3625 3rd Qu.: 0.2050000 3rd Qu.: 0.4525
## Max. : 1.1400 Max. : 0.7150 Max. : 1.0450000 Max. : 0.8500
## data.3701 data.3702 data.3703 data.3704
## Min. :-1.45500 Min. :-1.22499 Min. :-0.6900 Min. :-0.90000
## 1st Qu.:-0.22001 1st Qu.:-0.35999 1st Qu.:-0.2200 1st Qu.:-0.31250
## Median : 0.05999 Median : 0.04001 Median :-0.0050 Median : 0.00000
## Mean : 0.06650 Mean : 0.04476 Mean : 0.0670 Mean : 0.01175
## 3rd Qu.: 0.40000 3rd Qu.: 0.39501 3rd Qu.: 0.3725 3rd Qu.: 0.25997
## Max. : 1.24500 Max. : 1.12501 Max. : 1.4800 Max. : 1.31000
## data.3705 data.3706 data.3707 data.3708
## Min. :-1.5600 Min. :-1.73501 Min. :-1.56000 Min. :-0.57000
## 1st Qu.:-0.5450 1st Qu.:-0.48751 1st Qu.:-0.34125 1st Qu.:-0.13250
## Median : 0.0925 Median :-0.09001 Median : 0.00000 Median : 0.00000
## Mean : 0.1005 Mean : 0.54974 Mean : 0.06612 Mean : 0.03475
## 3rd Qu.: 0.5925 3rd Qu.: 1.21624 3rd Qu.: 0.47000 3rd Qu.: 0.21875
## Max. : 1.7700 Max. : 5.07499 Max. : 1.25000 Max. : 0.60000
## data.3709 data.3710 data.3711 data.3712
## Min. :-0.72500 Min. :-0.77500 Min. :-1.38000 Min. :-1.2050
## 1st Qu.:-0.25375 1st Qu.:-0.23499 1st Qu.:-0.44250 1st Qu.:-0.1875
## Median : 0.05001 Median :-0.02500 Median : 0.05501 Median : 0.0025
## Mean : 0.02125 Mean :-0.02225 Mean : 0.18000 Mean : 0.1230
## 3rd Qu.: 0.23750 3rd Qu.: 0.13749 3rd Qu.: 0.85500 3rd Qu.: 0.6525
## Max. : 0.87496 Max. : 0.75500 Max. : 2.00000 Max. : 1.4950
## data.3713 data.3714 data.3715 data.3716
## Min. :-0.50000 Min. :-1.06000 Min. :-0.93501 Min. :-0.65000
## 1st Qu.:-0.10752 1st Qu.:-0.41499 1st Qu.:-0.27251 1st Qu.:-0.33251
## Median : 0.00500 Median : 0.05500 Median : 0.08749 Median : 0.02000
## Mean : 0.02575 Mean : 0.05875 Mean : 0.15599 Mean : 0.03162
## 3rd Qu.: 0.19501 3rd Qu.: 0.48500 3rd Qu.: 0.51499 3rd Qu.: 0.26250
## Max. : 0.50000 Max. : 1.45000 Max. : 1.36499 Max. : 0.71000
## data.3717 data.3718 data.3719 data.3720
## Min. :-2.92000 Min. :-1.2500 Min. :-1.03250 Min. :-1.66500
## 1st Qu.:-0.35749 1st Qu.:-0.5975 1st Qu.:-0.36250 1st Qu.:-0.29500
## Median :-0.00500 Median :-0.0700 Median :-0.05250 Median :-0.05000
## Mean :-0.07975 Mean : 0.1222 Mean :-0.07344 Mean :-0.11213
## 3rd Qu.: 0.26000 3rd Qu.: 0.5650 3rd Qu.: 0.23000 3rd Qu.: 0.05751
## Max. : 1.16000 Max. : 2.7500 Max. : 1.02750 Max. : 0.55500
## data.3721 data.3722 data.3723 data.3724
## Min. :-1.95000 Min. :-1.180 Min. :-1.30000 Min. :-1.7500
## 1st Qu.:-0.42750 1st Qu.:-0.335 1st Qu.:-0.24000 1st Qu.:-0.6875
## Median : 0.00000 Median :-0.210 Median :-0.02000 Median : 0.0000
## Mean :-0.03825 Mean :-0.048 Mean :-0.06413 Mean : 0.1182
## 3rd Qu.: 0.39750 3rd Qu.: 0.320 3rd Qu.: 0.12250 3rd Qu.: 0.6400
## Max. : 1.06000 Max. : 1.120 Max. : 0.70000 Max. : 3.5100
## data.3725 data.3726 data.3727 data.3728
## Min. :-0.97000 Min. :-1.23002 Min. :-1.9800 Min. :-1.60998
## 1st Qu.:-0.26251 1st Qu.:-0.28000 1st Qu.:-0.6350 1st Qu.:-0.44750
## Median : 0.00000 Median : 0.00000 Median :-0.1150 Median : 0.00500
## Mean : 0.02013 Mean : 0.05112 Mean :-0.1765 Mean :-0.02713
## 3rd Qu.: 0.12750 3rd Qu.: 0.22247 3rd Qu.: 0.1037 3rd Qu.: 0.49750
## Max. : 3.79000 Max. : 3.14000 Max. : 2.1600 Max. : 1.69000
## data.3729 data.3730 data.3731 data.3732
## Min. :-1.3100 Min. :-1.19000 Min. :-1.3800 Min. :-1.58998
## 1st Qu.:-0.3750 1st Qu.:-0.22250 1st Qu.:-0.4225 1st Qu.:-0.46498
## Median : 0.0000 Median : 0.00000 Median : 0.0300 Median : 0.00000
## Mean :-0.1294 Mean :-0.06425 Mean : 0.2277 Mean : 0.05364
## 3rd Qu.: 0.1025 3rd Qu.: 0.12500 3rd Qu.: 0.4275 3rd Qu.: 0.32003
## Max. : 1.3700 Max. : 0.67000 Max. : 3.0550 Max. : 3.74002
## data.3733 data.3734 data.3735 data.3736
## Min. :-2.4200 Min. :-2.16002 Min. :-1.28000 Min. :-1.1400
## 1st Qu.:-0.7625 1st Qu.:-0.32750 1st Qu.:-0.46500 1st Qu.:-0.4425
## Median : 0.0000 Median : 0.03000 Median :-0.07499 Median :-0.0500
## Mean :-0.1808 Mean :-0.01863 Mean : 0.07600 Mean : 0.0280
## 3rd Qu.: 0.5425 3rd Qu.: 0.34500 3rd Qu.: 0.36249 3rd Qu.: 0.4700
## Max. : 1.4100 Max. : 1.03000 Max. : 5.79000 Max. : 2.1400
## data.3737 data.3738 data.3739 data.3740
## Min. :-1.03500 Min. :-1.42000 Min. :-1.24000 Min. :-1.72498
## 1st Qu.:-0.18750 1st Qu.:-0.21750 1st Qu.:-0.26999 1st Qu.:-0.41498
## Median : 0.01750 Median : 0.08501 Median : 0.00000 Median : 0.00000
## Mean :-0.05138 Mean : 0.07650 Mean : 0.08425 Mean :-0.07223
## 3rd Qu.: 0.21750 3rd Qu.: 0.39500 3rd Qu.: 0.46500 3rd Qu.: 0.42002
## Max. : 0.68500 Max. : 1.31000 Max. : 1.51000 Max. : 1.17004
## data.3741 data.3742 data.3743 data.3744
## Min. :-1.5550 Min. :-1.2800 Min. :-1.29004 Min. :-1.16000
## 1st Qu.:-0.3950 1st Qu.:-0.4275 1st Qu.:-0.30500 1st Qu.:-0.18250
## Median :-0.0200 Median :-0.1050 Median : 0.00000 Median : 0.00000
## Mean :-0.0675 Mean :-0.0825 Mean :-0.04113 Mean : 0.02587
## 3rd Qu.: 0.2787 3rd Qu.: 0.3425 3rd Qu.: 0.25750 3rd Qu.: 0.24500
## Max. : 0.9600 Max. : 2.1600 Max. : 1.18000 Max. : 1.11000
## data.3745 data.3746 data.3747 data.3748
## Min. :-0.85000 Min. :-1.03000 Min. :-1.8700 Min. :-1.08000
## 1st Qu.:-0.40750 1st Qu.:-0.42500 1st Qu.:-0.5550 1st Qu.:-0.25250
## Median : 0.00000 Median : 0.00000 Median : 0.0000 Median : 0.00000
## Mean :-0.01688 Mean :-0.09588 Mean : 0.0725 Mean : 0.06237
## 3rd Qu.: 0.31125 3rd Qu.: 0.15500 3rd Qu.: 0.4850 3rd Qu.: 0.37750
## Max. : 0.94000 Max. : 0.68000 Max. : 2.9800 Max. : 1.11000
## data.3749 data.3750 data.3751 data.3752
## Min. :-1.7900 Min. :-0.94998 Min. :-1.27998 Min. :-0.750000
## 1st Qu.:-0.3525 1st Qu.:-0.29501 1st Qu.:-0.37500 1st Qu.:-0.339995
## Median : 0.0000 Median :-0.05000 Median : 0.00499 Median :-0.025000
## Mean : 0.1622 Mean : 0.02637 Mean :-0.02425 Mean :-0.007001
## 3rd Qu.: 0.2750 3rd Qu.: 0.29500 3rd Qu.: 0.35750 3rd Qu.: 0.205000
## Max. : 4.3200 Max. : 1.02000 Max. : 1.22000 Max. : 1.390000
## data.3753 data.3754 data.3755 data.3756
## Min. :-0.834981 Min. :-1.8600 Min. :-2.7000 Min. :-2.39000
## 1st Qu.:-0.337481 1st Qu.:-0.4425 1st Qu.:-0.4825 1st Qu.:-0.39750
## Median :-0.005000 Median : 0.0000 Median : 0.0000 Median :-0.02001
## Mean :-0.005982 Mean :-0.1274 Mean :-0.1308 Mean :-0.17450
## 3rd Qu.: 0.275019 3rd Qu.: 0.2675 3rd Qu.: 0.3125 3rd Qu.: 0.14000
## Max. : 1.035019 Max. : 1.2700 Max. : 1.3600 Max. : 1.32000
## data.3757 data.3758 data.3759 data.3760
## Min. :-1.88000 Min. :-3.3550 Min. :-1.18000 Min. :-1.19998
## 1st Qu.:-0.25253 1st Qu.:-0.8300 1st Qu.:-0.21253 1st Qu.:-0.23998
## Median :-0.03500 Median : 0.0000 Median :-0.03500 Median : 0.00000
## Mean :-0.08113 Mean :-0.1665 Mean : 0.01412 Mean :-0.04611
## 3rd Qu.: 0.12000 3rd Qu.: 0.5250 3rd Qu.: 0.25500 3rd Qu.: 0.15002
## Max. : 1.38000 Max. : 1.7800 Max. : 0.96000 Max. : 0.72002
## data.3761 data.3762 data.3763 data.3764
## Min. :-1.01996 Min. :-1.2300 Min. :-0.96000 Min. :-0.8400
## 1st Qu.:-0.17748 1st Qu.:-0.5100 1st Qu.:-0.42750 1st Qu.:-0.2700
## Median :-0.02496 Median :-0.1050 Median :-0.07500 Median :-0.0300
## Mean : 0.08204 Mean :-0.1585 Mean :-0.03425 Mean :-0.0340
## 3rd Qu.: 0.41004 3rd Qu.: 0.1850 3rd Qu.: 0.36000 3rd Qu.: 0.2025
## Max. : 1.25004 Max. : 1.1400 Max. : 0.92000 Max. : 0.6950
## data.3765 data.3766 data.3767 data.3768
## Min. :-0.81000 Min. :-1.0800 Min. :-1.180010 Min. :-1.525000
## 1st Qu.:-0.10250 1st Qu.:-0.4225 1st Qu.:-0.110010 1st Qu.:-0.755015
## Median : 0.00000 Median :-0.0050 Median : 0.029981 Median :-0.005000
## Mean : 0.02737 Mean : 0.0440 Mean :-0.004011 Mean :-0.008876
## 3rd Qu.: 0.27250 3rd Qu.: 0.5375 3rd Qu.: 0.249990 3rd Qu.: 0.524995
## Max. : 0.76996 Max. : 2.3100 Max. : 0.979990 Max. : 2.080000
## data.3769 data.3770 data.3771 data.3772
## Min. :-1.91500 Min. :-1.37000 Min. :-1.02500 Min. :-1.31000
## 1st Qu.:-0.81251 1st Qu.:-0.19250 1st Qu.:-0.28000 1st Qu.:-0.28250
## Median :-0.02502 Median :-0.02000 Median : 0.02500 Median : 0.03999
## Mean :-0.01925 Mean :-0.02875 Mean : 0.04025 Mean : 0.01575
## 3rd Qu.: 0.77250 3rd Qu.: 0.21000 3rd Qu.: 0.44000 3rd Qu.: 0.41250
## Max. : 2.12500 Max. : 1.09000 Max. : 0.92000 Max. : 1.01002
## data.3773 data.3774 data.3775 data.3776
## Min. :-3.2900 Min. :-0.8450000 Min. :-1.4800 Min. :-1.914990
## 1st Qu.:-0.3925 1st Qu.:-0.1325098 1st Qu.:-0.3625 1st Qu.:-0.347490
## Median :-0.0050 Median : 0.0025000 Median :-0.0150 Median : 0.085010
## Mean :-0.1370 Mean : 0.0007485 Mean :-0.0330 Mean : 0.006008
## 3rd Qu.: 0.2825 3rd Qu.: 0.1700000 3rd Qu.: 0.1837 3rd Qu.: 0.372510
## Max. : 1.2950 Max. : 0.9750000 Max. : 2.2300 Max. : 0.855010
## data.3777 data.3778 data.3779 data.3780
## Min. :-1.14002 Min. :-0.67750 Min. :-1.03000 Min. :-0.800000
## 1st Qu.:-0.36250 1st Qu.:-0.12750 1st Qu.:-0.31000 1st Qu.:-0.210000
## Median :-0.02000 Median : 0.01500 Median : 0.06000 Median : 0.000000
## Mean : 0.02937 Mean : 0.04156 Mean : 0.04475 Mean : 0.009624
## 3rd Qu.: 0.47250 3rd Qu.: 0.19001 3rd Qu.: 0.44249 3rd Qu.: 0.210005
## Max. : 1.47000 Max. : 0.74250 Max. : 1.01002 Max. : 0.830000
## data.3781 data.3782 data.3783 data.3784
## Min. :-1.6600 Min. :-2.7700 Min. :-1.24000 Min. :-0.9100
## 1st Qu.:-0.4825 1st Qu.:-0.5750 1st Qu.:-0.27250 1st Qu.:-0.2700
## Median :-0.0050 Median :-0.1300 Median :-0.01000 Median : 0.0000
## Mean : 0.1056 Mean :-0.2054 Mean :-0.01975 Mean :-0.0295
## 3rd Qu.: 0.5350 3rd Qu.: 0.2375 3rd Qu.: 0.18250 3rd Qu.: 0.1575
## Max. : 2.9500 Max. : 1.4000 Max. : 1.06500 Max. : 0.6800
## data.3785 data.3786 data.3787 data.3788
## Min. :-3.86000 Min. :-3.130 Min. :-2.0950 Min. :-1.54000
## 1st Qu.:-0.56252 1st Qu.:-0.740 1st Qu.:-0.7550 1st Qu.:-0.37250
## Median :-0.02999 Median :-0.035 Median : 0.0000 Median :-0.00500
## Mean :-0.12350 Mean :-0.157 Mean :-0.1179 Mean :-0.02338
## 3rd Qu.: 0.36499 3rd Qu.: 0.200 3rd Qu.: 0.2200 3rd Qu.: 0.31750
## Max. : 3.07500 Max. : 2.555 Max. : 1.4050 Max. : 1.17000
## data.3789 data.3790 data.3791 data.3792
## Min. :-0.89500 Min. :-2.44000 Min. :-1.30500 Min. :-1.510010
## 1st Qu.:-0.35875 1st Qu.:-0.17501 1st Qu.:-0.16500 1st Qu.:-0.392510
## Median : 0.00250 Median : 0.00000 Median :-0.00500 Median : 0.025000
## Mean : 0.02425 Mean :-0.03463 Mean : 0.03062 Mean : 0.001739
## 3rd Qu.: 0.31250 3rd Qu.: 0.19250 3rd Qu.: 0.23499 3rd Qu.: 0.442485
## Max. : 1.44500 Max. : 0.52000 Max. : 1.47000 Max. : 1.519990
## data.3793 data.3794 data.3795 data.3796
## Min. :-1.79499 Min. :-0.9100 Min. :-1.33500 Min. :-0.90500
## 1st Qu.:-0.39999 1st Qu.:-0.2250 1st Qu.:-0.38000 1st Qu.:-0.20251
## Median :-0.01000 Median : 0.0100 Median :-0.08501 Median : 0.02000
## Mean :-0.07574 Mean : 0.0290 Mean :-0.05575 Mean : 0.01525
## 3rd Qu.: 0.33126 3rd Qu.: 0.2275 3rd Qu.: 0.16000 3rd Qu.: 0.28750
## Max. : 1.50501 Max. : 0.8500 Max. : 1.45500 Max. : 0.75000
## data.3797 data.3798 data.3799 data.3800
## Min. :-1.14501 Min. :-1.56501 Min. :-1.36000 Min. :-1.44000
## 1st Qu.:-0.11502 1st Qu.:-0.30504 1st Qu.:-0.44251 1st Qu.:-0.33000
## Median : 0.05499 Median : 0.17999 Median :-0.05500 Median :-0.01502
## Mean : 0.12124 Mean : 0.07749 Mean :-0.02425 Mean :-0.01125
## 3rd Qu.: 0.45749 3rd Qu.: 0.55749 3rd Qu.: 0.22500 3rd Qu.: 0.24750
## Max. : 1.36499 Max. : 1.35499 Max. : 2.30500 Max. : 1.93500
## data.3801 data.3802 data.3803 data.3804
## Min. :-0.885 Min. :-0.9400 Min. :-0.7575 Min. :-1.16000
## 1st Qu.:-0.330 1st Qu.:-0.2975 1st Qu.:-0.4450 1st Qu.:-0.33500
## Median : 0.045 Median : 0.0850 Median : 0.0450 Median : 0.05000
## Mean : 0.055 Mean : 0.0810 Mean : 0.0425 Mean : 0.01075
## 3rd Qu.: 0.340 3rd Qu.: 0.3738 3rd Qu.: 0.3525 3rd Qu.: 0.28750
## Max. : 1.660 Max. : 1.3600 Max. : 1.4425 Max. : 1.49000
## data.3805 data.3806 data.3807 data.3808
## Min. :-1.00502 Min. :-1.270000 Min. :-1.52750 Min. :-1.58500
## 1st Qu.:-0.43627 1st Qu.:-0.447515 1st Qu.:-0.44250 1st Qu.:-0.51750
## Median : 0.08498 Median : 0.027500 Median : 0.11750 Median : 0.06998
## Mean : 0.07148 Mean :-0.008001 Mean : 0.01075 Mean :-0.05025
## 3rd Qu.: 0.31998 3rd Qu.: 0.397485 3rd Qu.: 0.45750 3rd Qu.: 0.48250
## Max. : 1.63998 Max. : 1.075000 Max. : 1.09750 Max. : 1.06000
## data.3809 data.3810 data.3811 data.3812
## Min. :-0.9000 Min. :-1.17000 Min. :-1.29000 Min. :-1.03499
## 1st Qu.:-0.3725 1st Qu.:-0.30250 1st Qu.:-0.30500 1st Qu.:-0.25499
## Median : 0.0200 Median : 0.11999 Median : 0.03500 Median : 0.01000
## Mean : 0.0530 Mean : 0.06075 Mean : 0.06575 Mean : 0.06001
## 3rd Qu.: 0.3900 3rd Qu.: 0.47000 3rd Qu.: 0.52247 3rd Qu.: 0.47501
## Max. : 1.0900 Max. : 1.35000 Max. : 1.27000 Max. : 1.10501
## data.3813 data.3814 data.3815 data.3816
## Min. :-1.08750 Min. :-1.260000 Min. :-1.10500 Min. :-1.0450
## 1st Qu.:-0.44250 1st Qu.:-0.465000 1st Qu.:-0.39999 1st Qu.:-0.3625
## Median : 0.06250 Median : 0.005000 Median : 0.14501 Median : 0.0700
## Mean : 0.01475 Mean :-0.002252 Mean : 0.07725 Mean : 0.0405
## 3rd Qu.: 0.43250 3rd Qu.: 0.474985 3rd Qu.: 0.54000 3rd Qu.: 0.3875
## Max. : 1.07250 Max. : 1.190000 Max. : 1.11500 Max. : 0.7850
## data.3817 data.3818 data.3819 data.3820
## Min. :-0.97002 Min. :-1.2400 Min. :-2.1400 Min. :-1.2200
## 1st Qu.:-0.27002 1st Qu.:-0.3800 1st Qu.:-0.2050 1st Qu.:-0.4125
## Median : 0.02497 Median : 0.0650 Median : 0.0450 Median : 0.0575
## Mean : 0.07273 Mean :-0.0205 Mean : 0.0810 Mean : 0.0515
## 3rd Qu.: 0.36248 3rd Qu.: 0.3862 3rd Qu.: 0.5125 3rd Qu.: 0.3650
## Max. : 1.11998 Max. : 1.1400 Max. : 1.6700 Max. : 1.6900
## data.3821 data.3822 data.3823 data.3824
## Min. :-1.05998 Min. :-0.92499 Min. :-1.060 Min. :-1.48000
## 1st Qu.:-0.28498 1st Qu.:-0.32499 1st Qu.:-0.170 1st Qu.:-0.25751
## Median : 0.02501 Median : 0.00999 Median : 0.015 Median : 0.01000
## Mean : 0.07552 Mean : 0.02426 Mean : 0.042 Mean : 0.03875
## 3rd Qu.: 0.40502 3rd Qu.: 0.31501 3rd Qu.: 0.355 3rd Qu.: 0.43500
## Max. : 1.83002 Max. : 1.49501 Max. : 1.050 Max. : 0.97000
## data.3825 data.3826 data.3827 data.3828
## Min. :-0.56996 Min. :-3.3950 Min. :-4.2400 Min. :-3.8900
## 1st Qu.:-0.18496 1st Qu.:-0.9888 1st Qu.:-0.4975 1st Qu.:-1.6525
## Median : 0.06503 Median : 0.1150 Median : 0.1300 Median : 0.0950
## Mean : 0.10204 Mean :-0.3160 Mean :-0.4096 Mean :-0.4965
## 3rd Qu.: 0.36254 3rd Qu.: 0.6100 3rd Qu.: 0.5525 3rd Qu.: 0.4850
## Max. : 1.20004 Max. : 1.2750 Max. : 1.3300 Max. : 1.2100
## data.3829 data.3830 data.3831 data.3832
## Min. :-3.5800 Min. :-0.8350 Min. :-1.98000 Min. :-0.88500
## 1st Qu.:-1.3325 1st Qu.:-0.2675 1st Qu.:-0.20500 1st Qu.:-0.38000
## Median : 0.1750 Median : 0.0325 Median : 0.02499 Median :-0.05999
## Mean :-0.3398 Mean : 0.0240 Mean :-0.01125 Mean :-0.02038
## 3rd Qu.: 0.6675 3rd Qu.: 0.2437 3rd Qu.: 0.28875 3rd Qu.: 0.37749
## Max. : 1.2700 Max. : 1.2950 Max. : 1.26000 Max. : 0.82500
## data.3833 data.3834 data.3835 data.3836
## Min. :-1.3700 Min. :-0.74503 Min. :-0.91500 Min. :-1.680
## 1st Qu.:-0.4313 1st Qu.:-0.13749 1st Qu.:-0.24999 1st Qu.:-0.435
## Median : 0.0000 Median : 0.00000 Median :-0.04500 Median :-0.015
## Mean :-0.1295 Mean : 0.01538 Mean :-0.05238 Mean : 0.092
## 3rd Qu.: 0.1925 3rd Qu.: 0.21751 3rd Qu.: 0.09750 3rd Qu.: 0.455
## Max. : 0.9600 Max. : 0.87501 Max. : 0.78000 Max. : 3.225
## data.3837 data.3838 data.3839 data.3840
## Min. :-1.97000 Min. :-1.519980 Min. :-0.59000 Min. :-1.3900
## 1st Qu.:-0.56250 1st Qu.:-0.495000 1st Qu.:-0.19001 1st Qu.:-0.2750
## Median : 0.00000 Median : 0.015000 Median : 0.00000 Median : 0.2100
## Mean : 0.01137 Mean :-0.001751 Mean : 0.07912 Mean : 0.1463
## 3rd Qu.: 0.27500 3rd Qu.: 0.430000 3rd Qu.: 0.34999 3rd Qu.: 0.7200
## Max. : 1.99000 Max. : 1.770000 Max. : 1.35000 Max. : 1.7100
## data.3841 data.3842 data.3843 data.3844
## Min. :-1.7100 Min. :-1.1300 Min. :-2.17000 Min. :-0.99998
## 1st Qu.:-0.2375 1st Qu.:-0.2825 1st Qu.:-0.47875 1st Qu.:-0.36748
## Median : 0.2000 Median : 0.1450 Median : 0.00000 Median : 0.00499
## Mean : 0.2179 Mean : 0.2019 Mean :-0.04813 Mean : 0.09964
## 3rd Qu.: 0.7025 3rd Qu.: 0.5425 3rd Qu.: 0.58999 3rd Qu.: 0.43500
## Max. : 1.9600 Max. : 1.4900 Max. : 1.57000 Max. : 1.88002
## data.3845 data.3846 data.3847 data.3848
## Min. :-0.7850 Min. :-0.810000 Min. :-1.2650 Min. :-1.64500
## 1st Qu.:-0.1163 1st Qu.:-0.240005 1st Qu.:-0.2875 1st Qu.:-0.48253
## Median : 0.1550 Median :-0.015000 Median :-0.0200 Median : 0.17000
## Mean : 0.1247 Mean :-0.007001 Mean :-0.0485 Mean : 0.05525
## 3rd Qu.: 0.3650 3rd Qu.: 0.262500 3rd Qu.: 0.2700 3rd Qu.: 0.53250
## Max. : 1.2950 Max. : 0.750000 Max. : 1.1450 Max. : 1.60000
## data.3849 data.3850 data.3851 data.3852
## Min. :-1.09000 Min. :-0.80000 Min. :-1.6300 Min. :-0.7000
## 1st Qu.:-0.30500 1st Qu.:-0.12251 1st Qu.:-0.1450 1st Qu.:-0.3750
## Median : 0.02000 Median : 0.04499 Median : 0.1300 Median :-0.0150
## Mean : 0.05525 Mean : 0.17625 Mean : 0.2744 Mean : 0.1262
## 3rd Qu.: 0.21999 3rd Qu.: 0.39750 3rd Qu.: 0.4425 3rd Qu.: 0.3875
## Max. : 1.82000 Max. : 1.79000 Max. : 2.5300 Max. : 2.2300
## data.3853 data.3854 data.3855 data.3856
## Min. :-0.90000 Min. :-1.8900 Min. :-1.02000 Min. :-0.9300
## 1st Qu.:-0.18250 1st Qu.:-0.1150 1st Qu.:-0.41499 1st Qu.:-0.1525
## Median : 0.00000 Median : 0.1450 Median : 0.01000 Median : 0.0400
## Mean : 0.07187 Mean : 0.1209 Mean :-0.07738 Mean : 0.1321
## 3rd Qu.: 0.23001 3rd Qu.: 0.4225 3rd Qu.: 0.21000 3rd Qu.: 0.4125
## Max. : 1.50000 Max. : 1.4000 Max. : 0.65000 Max. : 1.6600
## data.3857 data.3858 data.3859 data.3860
## Min. :-1.2900 Min. :-3.86499 Min. :-1.430 Min. :-1.0750
## 1st Qu.:-0.1762 1st Qu.:-0.93749 1st Qu.:-0.225 1st Qu.:-0.2050
## Median : 0.1350 Median : 0.12499 Median : 0.060 Median : 0.1650
## Mean : 0.1317 Mean :-0.02537 Mean : 0.075 Mean : 0.1412
## 3rd Qu.: 0.5250 3rd Qu.: 1.10751 3rd Qu.: 0.370 3rd Qu.: 0.4725
## Max. : 1.3150 Max. : 2.65501 Max. : 1.280 Max. : 1.2250
## data.3861 data.3862 data.3863 data.3864
## Min. :-3.70000 Min. :-3.74002 Min. :-3.55000 Min. :-5.2500
## 1st Qu.:-0.40000 1st Qu.:-0.41250 1st Qu.:-0.60498 1st Qu.:-0.6175
## Median : 0.05000 Median : 0.00000 Median : 0.01502 Median :-0.0100
## Mean :-0.06575 Mean :-0.04875 Mean :-0.33448 Mean :-0.3538
## 3rd Qu.: 0.58000 3rd Qu.: 0.68500 3rd Qu.: 0.48752 3rd Qu.: 0.5113
## Max. : 1.17000 Max. : 1.22000 Max. : 1.25002 Max. : 1.4700
## data.3865 data.3866 data.3867 data.3868
## Min. :-4.2950 Min. :-0.98500 Min. :-1.63000 Min. :-3.6000
## 1st Qu.:-0.3650 1st Qu.:-0.28000 1st Qu.:-0.23000 1st Qu.:-1.2275
## Median : 0.0100 Median : 0.00500 Median : 0.00499 Median :-0.0650
## Mean :-0.1528 Mean :-0.01575 Mean :-0.01713 Mean :-0.1763
## 3rd Qu.: 0.3425 3rd Qu.: 0.21250 3rd Qu.: 0.20247 3rd Qu.: 0.6425
## Max. : 1.6050 Max. : 0.98500 Max. : 0.61000 Max. : 4.3000
## data.3869 data.3870 data.3871 data.3872
## Min. :-1.01999 Min. :-2.03999 Min. :-1.1700 Min. :-1.00000
## 1st Qu.:-0.41749 1st Qu.:-0.25250 1st Qu.:-0.2263 1st Qu.:-0.29501
## Median : 0.06501 Median : 0.07501 Median : 0.1350 Median : 0.06002
## Mean : 0.21326 Mean : 0.17151 Mean : 0.1476 Mean : 0.06052
## 3rd Qu.: 0.99000 3rd Qu.: 0.57501 3rd Qu.: 0.4950 3rd Qu.: 0.35252
## Max. : 1.77001 Max. : 2.12501 Max. : 1.4600 Max. : 0.83002
## data.3873 data.3874 data.3875 data.3876
## Min. :-1.2900 Min. :-1.6800 Min. :-1.2300 Min. :-1.45000
## 1st Qu.:-0.3325 1st Qu.:-0.3425 1st Qu.:-0.5025 1st Qu.:-0.39250
## Median : 0.1550 Median : 0.1700 Median : 0.0400 Median : 0.00999
## Mean : 0.1042 Mean : 0.1688 Mean : 0.1700 Mean : 0.03825
## 3rd Qu.: 0.4813 3rd Qu.: 0.5125 3rd Qu.: 0.7200 3rd Qu.: 0.26250
## Max. : 1.1400 Max. : 1.4200 Max. : 2.4300 Max. : 2.02000
## data.3877 data.3878 data.3879 data.3880
## Min. :-3.2750 Min. :-1.0050 Min. :-0.8650 Min. :-0.72002
## 1st Qu.:-0.2050 1st Qu.:-0.1150 1st Qu.:-0.2750 1st Qu.:-0.13252
## Median : 0.1700 Median : 0.0850 Median : 0.0200 Median : 0.02498
## Mean : 0.1767 Mean : 0.2186 Mean : 0.1315 Mean : 0.09411
## 3rd Qu.: 0.6287 3rd Qu.: 0.5575 3rd Qu.: 0.4350 3rd Qu.: 0.28498
## Max. : 1.7850 Max. : 1.4950 Max. : 1.3950 Max. : 1.10998
## data.3881 data.3882 data.3883 data.3884
## Min. :-1.8300 Min. :-3.6950 Min. :-1.3000 Min. :-1.430
## 1st Qu.:-0.5825 1st Qu.:-0.2838 1st Qu.:-0.3600 1st Qu.:-0.590
## Median : 0.0975 Median : 0.0400 Median : 0.1350 Median : 0.000
## Mean : 0.1080 Mean : 0.2207 Mean : 0.1115 Mean :-0.136
## 3rd Qu.: 0.6425 3rd Qu.: 0.8962 3rd Qu.: 0.4100 3rd Qu.: 0.260
## Max. : 2.2200 Max. : 2.4150 Max. : 1.6500 Max. : 0.960
## data.3885 data.3886 data.3887 data.3888
## Min. :-1.88000 Min. :-2.37000 Min. :-1.5200 Min. :-0.94500
## 1st Qu.:-0.47499 1st Qu.:-0.55250 1st Qu.:-0.2600 1st Qu.:-0.10500
## Median : 0.03500 Median : 0.00750 Median : 0.0000 Median : 0.00999
## Mean :-0.03438 Mean :-0.07125 Mean : 0.1322 Mean : 0.10050
## 3rd Qu.: 0.58750 3rd Qu.: 0.46500 3rd Qu.: 0.6275 3rd Qu.: 0.27750
## Max. : 1.17000 Max. : 1.97000 Max. : 1.7000 Max. : 1.24000
## data.3889 data.3890 data.3891 data.3892
## Min. :-0.9100 Min. :-1.2100 Min. :-2.30500 Min. :-3.5250
## 1st Qu.:-0.2850 1st Qu.:-0.6325 1st Qu.:-0.43501 1st Qu.:-0.7075
## Median : 0.0350 Median : 0.3700 Median :-0.03000 Median : 0.0350
## Mean : 0.1287 Mean : 0.5647 Mean :-0.02575 Mean :-0.1176
## 3rd Qu.: 0.5675 3rd Qu.: 1.4675 3rd Qu.: 0.31500 3rd Qu.: 0.7750
## Max. : 1.5000 Max. : 3.9700 Max. : 1.27500 Max. : 1.8850
## data.3893 data.3894 data.3895 data.3896
## Min. :-0.694990 Min. :-3.1750 Min. :-1.5000 Min. :-2.8300
## 1st Qu.:-0.137490 1st Qu.:-0.4525 1st Qu.:-0.2125 1st Qu.:-0.8050
## Median :-0.002505 Median : 0.0000 Median : 0.0200 Median : 0.3025
## Mean : 0.044758 Mean : 0.4176 Mean : 0.5781 Mean : 0.3440
## 3rd Qu.: 0.275010 3rd Qu.: 1.8450 3rd Qu.: 1.4175 3rd Qu.: 1.3713
## Max. : 0.995010 Max. : 4.4600 Max. : 3.3500 Max. : 2.7200
## data.3897 data.3898 data.3899 data.3900
## Min. :-1.0425 Min. :-1.53000 Min. :-1.7750 Min. :-1.0000
## 1st Qu.:-0.2300 1st Qu.:-0.22250 1st Qu.:-0.2737 1st Qu.:-0.2250
## Median : 0.0000 Median : 0.02250 Median : 0.1000 Median : 0.0000
## Mean : 0.0915 Mean : 0.09737 Mean : 0.2268 Mean : 0.1351
## 3rd Qu.: 0.4200 3rd Qu.: 0.53250 3rd Qu.: 0.6400 3rd Qu.: 0.4300
## Max. : 1.4625 Max. : 1.57000 Max. : 1.9100 Max. : 1.7700
## data.3901 data.3902 data.3903 data.3904
## Min. :-1.60002 Min. :-1.1450 Min. :-0.7700 Min. :-1.21500
## 1st Qu.:-0.27505 1st Qu.:-0.2550 1st Qu.:-0.2500 1st Qu.:-0.44250
## Median : 0.04998 Median : 0.1325 Median : 0.1500 Median : 0.07499
## Mean : 0.11423 Mean : 0.1637 Mean : 0.1462 Mean : 0.15000
## 3rd Qu.: 0.52248 3rd Qu.: 0.5325 3rd Qu.: 0.5600 3rd Qu.: 0.56750
## Max. : 1.91998 Max. : 1.7100 Max. : 1.6000 Max. : 1.90000
## data.3905 data.3906 data.3907 data.3908
## Min. :-0.9400 Min. :-1.09000 Min. :-0.59000 Min. :-0.73501
## 1st Qu.:-0.1525 1st Qu.:-0.43000 1st Qu.:-0.20501 1st Qu.:-0.43751
## Median : 0.0300 Median : 0.03000 Median : 0.05501 Median : 0.05998
## Mean : 0.1431 Mean : 0.02275 Mean : 0.11587 Mean :-0.02226
## 3rd Qu.: 0.4725 3rd Qu.: 0.44500 3rd Qu.: 0.35250 3rd Qu.: 0.22249
## Max. : 1.7700 Max. : 1.11998 Max. : 1.07000 Max. : 0.83499
## data.3909 data.3910 data.3911 data.3912
## Min. :-0.5600 Min. :-0.7450 Min. :-0.8100 Min. :-0.7700
## 1st Qu.:-0.1800 1st Qu.:-0.2075 1st Qu.:-0.1700 1st Qu.:-0.1000
## Median : 0.1000 Median : 0.1150 Median : 0.0900 Median : 0.0400
## Mean : 0.1887 Mean : 0.1372 Mean : 0.1247 Mean : 0.0525
## 3rd Qu.: 0.4925 3rd Qu.: 0.5112 3rd Qu.: 0.2875 3rd Qu.: 0.2400
## Max. : 1.2900 Max. : 1.2450 Max. : 1.1800 Max. : 0.8300
## data.3913 data.3914 data.3915 data.3916
## Min. :-0.69000 Min. :-0.9750 Min. :-0.8750 Min. :-1.3400
## 1st Qu.:-0.17000 1st Qu.:-0.3100 1st Qu.:-0.1050 1st Qu.:-0.2137
## Median : 0.05998 Median : 0.1050 Median : 0.1700 Median : 0.1450
## Mean : 0.15175 Mean : 0.1060 Mean : 0.2281 Mean : 0.1300
## 3rd Qu.: 0.44250 3rd Qu.: 0.4375 3rd Qu.: 0.6275 3rd Qu.: 0.5525
## Max. : 1.23000 Max. : 1.5050 Max. : 1.1350 Max. : 1.2900
## data.3917 data.3918 data.3919 data.3920
## Min. :-2.47000 Min. :-2.05000 Min. :-3.0200 Min. :-4.67002
## 1st Qu.:-0.56500 1st Qu.:-0.40501 1st Qu.:-0.8025 1st Qu.:-0.21252
## Median :-0.03500 Median : 0.00000 Median : 0.1900 Median : 0.12498
## Mean :-0.09438 Mean : 0.09287 Mean :-0.1873 Mean :-0.04177
## 3rd Qu.: 0.48500 3rd Qu.: 0.56500 3rd Qu.: 0.5925 3rd Qu.: 0.48748
## Max. : 2.05000 Max. : 2.06000 Max. : 1.2200 Max. : 1.13998
## data.3921 data.3922 data.3923 data.3924
## Min. :-0.8350 Min. :-2.0300 Min. :-1.6300 Min. :-2.42251
## 1st Qu.:-0.3375 1st Qu.:-0.3600 1st Qu.:-0.2700 1st Qu.:-0.99501
## Median : 0.1050 Median : 0.2750 Median : 0.0850 Median : 0.24749
## Mean : 0.1752 Mean : 0.1555 Mean : 0.1035 Mean :-0.01876
## 3rd Qu.: 0.5600 3rd Qu.: 0.6225 3rd Qu.: 0.5000 3rd Qu.: 0.86999
## Max. : 1.4750 Max. : 1.9900 Max. : 1.4700 Max. : 1.72749
## data.3925 data.3926 data.3927 data.3928
## Min. :-2.040000 Min. :-0.9425 Min. :-1.6900 Min. :-2.3000
## 1st Qu.:-0.615005 1st Qu.:-0.3425 1st Qu.:-0.1900 1st Qu.:-0.4475
## Median : 0.109990 Median : 0.1125 Median : 0.0300 Median : 0.1800
## Mean :-0.007127 Mean : 0.1505 Mean : 0.3174 Mean : 0.1911
## 3rd Qu.: 0.547500 3rd Qu.: 0.5525 3rd Qu.: 0.8625 3rd Qu.: 0.8500
## Max. : 2.150000 Max. : 1.7875 Max. : 3.4500 Max. : 3.0100
## data.3929 data.3930 data.3931 data.3932
## Min. :-0.9650 Min. :-0.63002 Min. :-1.2200 Min. :-1.17500
## 1st Qu.:-0.0975 1st Qu.:-0.14500 1st Qu.:-0.2638 1st Qu.:-0.48500
## Median : 0.0900 Median : 0.06999 Median : 0.1225 Median : 0.25499
## Mean : 0.1125 Mean : 0.08537 Mean : 0.1520 Mean : 0.09187
## 3rd Qu.: 0.2850 3rd Qu.: 0.29250 3rd Qu.: 0.5900 3rd Qu.: 0.50750
## Max. : 1.4750 Max. : 1.06000 Max. : 1.3300 Max. : 1.60500
## data.3933 data.3934 data.3935 data.3936
## Min. :-2.43000 Min. :-1.05500 Min. :-0.90000 Min. :-3.2850
## 1st Qu.:-0.32249 1st Qu.:-0.21500 1st Qu.:-0.12250 1st Qu.:-0.8500
## Median : 0.14000 Median : 0.09499 Median : 0.09499 Median : 0.8350
## Mean : 0.02962 Mean : 0.16875 Mean : 0.16712 Mean : 0.6345
## 3rd Qu.: 0.50750 3rd Qu.: 0.56750 3rd Qu.: 0.48250 3rd Qu.: 2.2450
## Max. : 1.24000 Max. : 1.53500 Max. : 1.12000 Max. : 4.5150
## data.3937 data.3938 data.3939 data.3940
## Min. :-0.5400 Min. :-1.9900 Min. :-1.2400 Min. :-1.3500
## 1st Qu.:-0.0325 1st Qu.:-0.1125 1st Qu.:-0.3837 1st Qu.:-0.3250
## Median : 0.1725 Median : 0.0000 Median : 0.1200 Median : 0.1750
## Mean : 0.2411 Mean : 0.2952 Mean : 0.2577 Mean : 0.3795
## 3rd Qu.: 0.6050 3rd Qu.: 0.9525 3rd Qu.: 0.5300 3rd Qu.: 1.0712
## Max. : 1.1100 Max. : 2.5400 Max. : 2.5300 Max. : 2.4100
## data.3941 data.3942 data.3943 data.3944
## Min. :-1.1400 Min. :-0.88000 Min. :-1.1200 Min. :-0.7700
## 1st Qu.:-0.2825 1st Qu.:-0.22375 1st Qu.:-0.2275 1st Qu.:-0.3725
## Median : 0.0000 Median : 0.06500 Median : 0.0400 Median : 0.1550
## Mean : 0.1731 Mean : 0.07825 Mean : 0.0775 Mean : 0.2010
## 3rd Qu.: 0.6025 3rd Qu.: 0.34500 3rd Qu.: 0.3675 3rd Qu.: 0.5625
## Max. : 2.5100 Max. : 2.38000 Max. : 2.5900 Max. : 2.5100
## data.3945 data.3946 data.3947 data.3948
## Min. :-0.69999 Min. :-0.7400 Min. :-2.4200 Min. :-3.7000
## 1st Qu.:-0.21998 1st Qu.:-0.1075 1st Qu.:-0.3025 1st Qu.:-0.5213
## Median : 0.03001 Median : 0.0000 Median : 0.2600 Median : 0.3850
## Mean : 0.16776 Mean : 0.2351 Mean : 0.2634 Mean : 0.1737
## 3rd Qu.: 0.58001 3rd Qu.: 0.5125 3rd Qu.: 0.8650 3rd Qu.: 1.0225
## Max. : 2.15001 Max. : 2.3000 Max. : 1.9400 Max. : 2.0100
## data.3949 data.3950 data.3951 data.3952
## Min. :-3.0100 Min. :-1.0150 Min. :-0.9100 Min. :-4.435
## 1st Qu.:-0.4700 1st Qu.:-0.2275 1st Qu.:-0.2050 1st Qu.:-0.270
## Median : 0.4450 Median : 0.1525 Median : 0.1700 Median : 0.275
## Mean : 0.2957 Mean : 0.0775 Mean : 0.2915 Mean : 0.184
## 3rd Qu.: 1.3225 3rd Qu.: 0.3175 3rd Qu.: 0.7550 3rd Qu.: 0.965
## Max. : 2.0500 Max. : 0.7850 Max. : 2.1900 Max. : 2.600
## data.3953 data.3954 data.3955 data.3956
## Min. :-1.4450 Min. :-0.9300 Min. :-0.9300 Min. :-3.5950
## 1st Qu.:-0.2200 1st Qu.:-0.1875 1st Qu.:-0.2950 1st Qu.:-0.9750
## Median : 0.1900 Median : 0.1475 Median : 0.1100 Median : 0.9950
## Mean : 0.3566 Mean : 0.1347 Mean : 0.2174 Mean : 0.7322
## 3rd Qu.: 0.9150 3rd Qu.: 0.5575 3rd Qu.: 0.6600 3rd Qu.: 2.4675
## Max. : 3.5650 Max. : 1.1600 Max. : 1.4200 Max. : 3.4250
## data.3957 data.3958 data.3959 data.3960
## Min. :-2.310 Min. :-1.4600 Min. :-1.3600 Min. :-2.0900
## 1st Qu.:-0.755 1st Qu.:-0.2100 1st Qu.:-0.3099 1st Qu.:-0.5925
## Median : 0.000 Median : 0.0950 Median : 0.1350 Median : 0.8075
## Mean : 1.141 Mean : 0.1744 Mean : 0.2483 Mean : 0.5350
## 3rd Qu.: 3.225 3rd Qu.: 0.6675 3rd Qu.: 0.9563 3rd Qu.: 1.7800
## Max. : 6.080 Max. : 2.1100 Max. : 3.1200 Max. : 3.0400
## data.3961 data.3962 data.3963 data.3964
## Min. :-2.49997 Min. :-1.6400 Min. :-2.45502 Min. :-2.8300
## 1st Qu.:-0.56997 1st Qu.:-0.4075 1st Qu.:-0.57500 1st Qu.:-0.6925
## Median : 0.02501 Median : 0.2050 Median : 0.00000 Median : 0.2450
## Mean :-0.05785 Mean : 0.2596 Mean : 0.01737 Mean : 0.2335
## 3rd Qu.: 0.61001 3rd Qu.: 1.0125 3rd Qu.: 0.79250 3rd Qu.: 0.8700
## Max. : 2.27003 Max. : 2.5800 Max. : 2.89500 Max. : 2.5700
## data.3965 data.3966 data.3967 data.3968
## Min. :-2.6700 Min. :-1.2550 Min. :-1.0600 Min. :-0.77000
## 1st Qu.:-0.2300 1st Qu.:-0.4700 1st Qu.:-0.3250 1st Qu.:-0.17000
## Median : 0.1400 Median :-0.0450 Median : 0.2325 Median : 0.07499
## Mean : 0.3597 Mean : 0.0505 Mean : 0.2310 Mean : 0.10700
## 3rd Qu.: 1.0288 3rd Qu.: 0.3850 3rd Qu.: 0.7300 3rd Qu.: 0.33001
## Max. : 2.4600 Max. : 1.7250 Max. : 1.6600 Max. : 1.19000
## data.3969 data.3970 data.3971 data.3972
## Min. :-1.05000 Min. :-1.5750 Min. :-2.5450 Min. :-3.5800
## 1st Qu.:-0.12500 1st Qu.:-0.6050 1st Qu.:-0.6300 1st Qu.:-0.7350
## Median : 0.04751 Median : 0.0000 Median : 0.5000 Median : 0.2500
## Mean : 0.09150 Mean : 0.6454 Mean : 0.3135 Mean : 0.1031
## 3rd Qu.: 0.39000 3rd Qu.: 2.2975 3rd Qu.: 1.3500 3rd Qu.: 0.9475
## Max. : 0.80000 Max. : 4.4600 Max. : 3.0750 Max. : 3.1300
## data.3973 data.3974 data.3975 data.3976
## Min. :-2.0600 Min. :-1.5150 Min. :-2.61000 Min. :-1.6000
## 1st Qu.:-0.3100 1st Qu.:-0.2275 1st Qu.:-0.44250 1st Qu.:-0.5025
## Median : 0.1300 Median : 0.1600 Median : 0.08500 Median : 0.1500
## Mean : 0.1447 Mean : 0.1542 Mean : 0.07775 Mean : 0.2924
## 3rd Qu.: 0.9087 3rd Qu.: 0.4325 3rd Qu.: 0.70247 3rd Qu.: 1.2825
## Max. : 1.8300 Max. : 1.5150 Max. : 1.55998 Max. : 2.3000
## data.3977 data.3978 data.3979 data.3980
## Min. :-1.4100 Min. :-1.2950 Min. :-1.3750 Min. :-0.5200
## 1st Qu.:-0.3937 1st Qu.:-0.4175 1st Qu.:-0.2700 1st Qu.:-0.1800
## Median : 0.0000 Median : 0.0300 Median : 0.0600 Median : 0.0000
## Mean : 1.0434 Mean : 0.8487 Mean : 0.0805 Mean : 0.1005
## 3rd Qu.: 2.8000 3rd Qu.: 2.3350 3rd Qu.: 0.3600 3rd Qu.: 0.1825
## Max. : 5.1700 Max. : 4.1250 Max. : 1.8350 Max. : 1.4000
## data.3981 data.3982 data.3983 data.3984
## Min. :-1.01000 Min. :-0.9050 Min. :-1.09002 Min. :-1.3100
## 1st Qu.:-0.05501 1st Qu.:-0.1275 1st Qu.:-0.32001 1st Qu.:-0.2262
## Median : 0.19000 Median : 0.2450 Median : 0.05499 Median : 0.2000
## Mean : 0.17625 Mean : 0.2132 Mean : 0.14637 Mean : 0.2385
## 3rd Qu.: 0.42500 3rd Qu.: 0.6750 3rd Qu.: 0.61501 3rd Qu.: 0.7950
## Max. : 1.52002 Max. : 1.2650 Max. : 1.71000 Max. : 1.3700
## data.3985 data.3986 data.3987 data.3988
## Min. :-1.38000 Min. :-1.10000 Min. :-0.650000 Min. :-1.03498
## 1st Qu.:-0.08375 1st Qu.:-0.30500 1st Qu.:-0.162505 1st Qu.:-0.21998
## Median : 0.19500 Median : 0.00000 Median :-0.010000 Median :-0.00249
## Mean : 0.19375 Mean : 0.01475 Mean : 0.006123 Mean : 0.01639
## 3rd Qu.: 0.66500 3rd Qu.: 0.32250 3rd Qu.: 0.157500 3rd Qu.: 0.24752
## Max. : 1.63500 Max. : 0.81998 Max. : 0.839981 Max. : 0.89500
## data.3989 data.3990 data.3991 data.3992
## Min. :-1.28000 Min. :-1.1650 Min. :-1.29000 Min. :-1.26500
## 1st Qu.:-0.41001 1st Qu.:-0.3375 1st Qu.:-0.30000 1st Qu.:-0.37500
## Median :-0.03500 Median :-0.0050 Median : 0.01998 Median : 0.02500
## Mean :-0.05925 Mean : 0.0570 Mean : 0.06050 Mean : 0.02175
## 3rd Qu.: 0.28250 3rd Qu.: 0.3775 3rd Qu.: 0.56500 3rd Qu.: 0.44500
## Max. : 2.01998 Max. : 1.3550 Max. : 1.28998 Max. : 1.25498
## data.3993 data.3994 data.3995 data.3996
## Min. :-1.770000 Min. :-0.8300 Min. :-0.720000 Min. :-1.91000
## 1st Qu.:-0.435000 1st Qu.:-0.1325 1st Qu.:-0.322510 1st Qu.:-0.46750
## Median : 0.000000 Median : 0.0400 Median :-0.010000 Median :-0.00500
## Mean : 0.009123 Mean : 0.1370 Mean : 0.008998 Mean : 0.05037
## 3rd Qu.: 0.458745 3rd Qu.: 0.5350 3rd Qu.: 0.170000 3rd Qu.: 0.47249
## Max. : 1.759980 Max. : 1.1100 Max. : 1.455000 Max. : 2.13000
## data.3997 data.3998 data.3999 data.4000
## Min. :-1.6100 Min. :-0.8000 Min. :-1.1250 Min. :-0.82500
## 1st Qu.:-0.3700 1st Qu.:-0.2625 1st Qu.:-0.3250 1st Qu.:-0.11750
## Median :-0.0500 Median : 0.1050 Median : 0.1000 Median : 0.07499
## Mean : 0.1147 Mean : 0.1200 Mean : 0.0430 Mean : 0.10600
## 3rd Qu.: 0.5325 3rd Qu.: 0.3550 3rd Qu.: 0.3675 3rd Qu.: 0.37000
## Max. : 1.9000 Max. : 1.4000 Max. : 1.1750 Max. : 1.26500
## data.4001 data.4002 data.4003 data.4004
## Min. :-0.84000 Min. :-1.370 Min. :-1.36000 Min. :-0.6800
## 1st Qu.:-0.14750 1st Qu.:-0.240 1st Qu.:-0.17250 1st Qu.:-0.2125
## Median : 0.00998 Median : 0.005 Median : 0.11500 Median : 0.0700
## Mean : 0.05700 Mean : 0.093 Mean : 0.09887 Mean : 0.1517
## 3rd Qu.: 0.28000 3rd Qu.: 0.545 3rd Qu.: 0.48250 3rd Qu.: 0.4425
## Max. : 0.99000 Max. : 1.270 Max. : 1.00000 Max. : 1.6000
## data.4005 data.4006 data.4007 data.4008
## Min. :-1.52000 Min. :-1.0450 Min. :-1.3950 Min. :-0.66000
## 1st Qu.:-0.27500 1st Qu.:-0.4200 1st Qu.:-0.2550 1st Qu.:-0.30625
## Median : 0.00000 Median : 0.0125 Median : 0.0050 Median : 0.05001
## Mean : 0.08487 Mean :-0.0425 Mean : 0.1062 Mean : 0.06250
## 3rd Qu.: 0.44500 3rd Qu.: 0.3675 3rd Qu.: 0.6000 3rd Qu.: 0.30375
## Max. : 1.54000 Max. : 0.8550 Max. : 1.1250 Max. : 1.08000
## data.4009 data.4010 data.4011 data.4012
## Min. :-1.6150 Min. :-3.92000 Min. :-2.5100 Min. :-2.59002
## 1st Qu.:-0.2350 1st Qu.:-0.74250 1st Qu.:-0.5462 1st Qu.:-0.57750
## Median : 0.0450 Median : 0.01000 Median : 0.2300 Median : 0.00000
## Mean : 0.0385 Mean : 0.06187 Mean : 0.3545 Mean :-0.01338
## 3rd Qu.: 0.3237 3rd Qu.: 1.14000 3rd Qu.: 1.3550 3rd Qu.: 0.53000
## Max. : 0.9250 Max. : 3.17000 Max. : 2.6400 Max. : 1.47000
## data.4013 data.4014 data.4015 data.4016
## Min. :-1.9150 Min. :-1.2950 Min. :-0.63750 Min. :-0.72000
## 1st Qu.:-0.1150 1st Qu.:-0.1675 1st Qu.:-0.15750 1st Qu.:-0.26000
## Median : 0.1050 Median : 0.1300 Median : 0.08250 Median : 0.03999
## Mean : 0.1119 Mean : 0.1737 Mean : 0.09537 Mean : 0.06400
## 3rd Qu.: 0.4825 3rd Qu.: 0.4750 3rd Qu.: 0.36247 3rd Qu.: 0.27750
## Max. : 1.7750 Max. : 1.4350 Max. : 0.93248 Max. : 0.91000
## data.4017 data.4018 data.4019 data.4020
## Min. :-1.4600000 Min. :-0.989981 Min. :-1.22002 Min. :-0.8200
## 1st Qu.:-0.2700000 1st Qu.:-0.252500 1st Qu.:-0.37249 1st Qu.:-0.2825
## Median : 0.0400000 Median : 0.055000 Median : 0.03500 Median :-0.0300
## Mean :-0.0007515 Mean : 0.006999 Mean :-0.05075 Mean : 0.0120
## 3rd Qu.: 0.3075000 3rd Qu.: 0.202505 3rd Qu.: 0.25000 3rd Qu.: 0.2088
## Max. : 0.7800000 Max. : 1.025000 Max. : 0.71000 Max. : 1.3500
## data.4021 data.4022 data.4023 data.4024
## Min. :-0.80500 Min. :-1.43001 Min. :-1.07000 Min. :-1.40000
## 1st Qu.:-0.22000 1st Qu.:-0.26501 1st Qu.:-0.20500 1st Qu.:-0.09748
## Median : 0.04250 Median : 0.10499 Median : 0.06000 Median : 0.12500
## Mean : 0.05462 Mean : 0.01349 Mean : 0.03575 Mean : 0.13712
## 3rd Qu.: 0.29750 3rd Qu.: 0.42247 3rd Qu.: 0.31000 3rd Qu.: 0.48999
## Max. : 1.18500 Max. : 1.42999 Max. : 1.77000 Max. : 1.37000
## data.4025 data.4026 data.4027 data.4028
## Min. :-3.5000 Min. :-0.9000098 Min. :-1.8650 Min. :-2.50000
## 1st Qu.:-0.6300 1st Qu.:-0.1500098 1st Qu.:-0.7075 1st Qu.:-0.44750
## Median : 0.0150 Median : 0.0099902 Median : 0.0000 Median : 0.00000
## Mean :-0.2995 Mean : 0.0002387 Mean :-0.1990 Mean : 0.05587
## 3rd Qu.: 0.3500 3rd Qu.: 0.2549902 3rd Qu.: 0.2425 3rd Qu.: 0.53000
## Max. : 1.3550 Max. : 0.9100098 Max. : 1.0650 Max. : 2.04000
## data.4029 data.4030 data.4031 data.4032
## Min. :-1.6000 Min. :-1.2650 Min. :-1.24998 Min. :-1.41000
## 1st Qu.:-0.2000 1st Qu.:-0.3350 1st Qu.:-0.30247 1st Qu.:-0.29250
## Median : 0.2200 Median : 0.1900 Median : 0.00499 Median : 0.04499
## Mean : 0.1673 Mean : 0.0715 Mean : 0.16352 Mean : 0.19300
## 3rd Qu.: 0.6800 3rd Qu.: 0.4650 3rd Qu.: 0.56002 3rd Qu.: 0.56750
## Max. : 1.3900 Max. : 1.0750 Max. : 1.96002 Max. : 2.55000
## data.4033 data.4034 data.4035 data.4036
## Min. :-1.66500 Min. :-1.1450 Min. :-0.84002 Min. :-1.8500
## 1st Qu.:-0.41250 1st Qu.:-0.2125 1st Qu.:-0.34752 1st Qu.:-0.3000
## Median : 0.00000 Median : 0.1000 Median :-0.04002 Median : 0.0850
## Mean : 0.06388 Mean : 0.1642 Mean :-0.04777 Mean : 0.1619
## 3rd Qu.: 0.49250 3rd Qu.: 0.3850 3rd Qu.: 0.14498 3rd Qu.: 0.9525
## Max. : 1.77500 Max. : 2.5250 Max. : 1.07996 Max. : 1.5100
## data.4037 data.4038 data.4039 data.4040
## Min. :-1.5000 Min. :-0.90000 Min. :-2.1150 Min. :-1.76500
## 1st Qu.:-0.1113 1st Qu.:-0.16749 1st Qu.:-0.4375 1st Qu.:-0.31249
## Median : 0.2750 Median : 0.02499 Median : 0.1550 Median : 0.10500
## Mean : 0.2406 Mean : 0.04200 Mean : 0.2280 Mean : 0.04562
## 3rd Qu.: 0.7300 3rd Qu.: 0.28250 3rd Qu.: 1.0775 3rd Qu.: 0.48250
## Max. : 2.2800 Max. : 0.74500 Max. : 2.4900 Max. : 1.59500
## data.4041 data.4042 data.4043 data.4044
## Min. :-0.94500 Min. :-3.4600 Min. :-3.7900 Min. :-1.3200
## 1st Qu.:-0.36000 1st Qu.:-0.7963 1st Qu.:-0.3675 1st Qu.:-0.2275
## Median : 0.08498 Median : 0.2350 Median : 0.2750 Median : 0.0150
## Mean : 0.03725 Mean : 0.0980 Mean : 0.3210 Mean : 0.0265
## 3rd Qu.: 0.39000 3rd Qu.: 1.0100 3rd Qu.: 1.2600 3rd Qu.: 0.3725
## Max. : 1.22500 Max. : 2.6300 Max. : 2.7200 Max. : 0.7400
## data.4045 data.4046 data.4047 data.4048
## Min. :-1.2150 Min. :-1.4000 Min. :-1.5200 Min. :-1.07002
## 1st Qu.:-0.1275 1st Qu.:-0.1800 1st Qu.:-0.3300 1st Qu.:-0.10250
## Median : 0.1550 Median : 0.2175 Median : 0.1200 Median : 0.07501
## Mean : 0.1095 Mean : 0.1000 Mean :-0.0300 Mean : 0.06975
## 3rd Qu.: 0.4025 3rd Qu.: 0.5425 3rd Qu.: 0.4238 3rd Qu.: 0.42000
## Max. : 0.9550 Max. : 1.1100 Max. : 1.0300 Max. : 1.02000
## data.4049 data.4050 data.4051 data.4052
## Min. :-3.22001 Min. :-4.030000 Min. :-2.0100 Min. :-1.8150
## 1st Qu.:-0.84251 1st Qu.:-0.835015 1st Qu.:-0.3300 1st Qu.:-0.1100
## Median : 0.09499 Median : 0.345000 Median : 0.3300 Median : 0.0650
## Mean :-0.09801 Mean : 0.000249 Mean : 0.1922 Mean : 0.1324
## 3rd Qu.: 0.55499 3rd Qu.: 0.940005 3rd Qu.: 0.8150 3rd Qu.: 0.3987
## Max. : 2.40499 Max. : 2.915000 Max. : 2.0800 Max. : 1.5650
## data.4053 data.4054 data.4055 data.4056
## Min. :-0.9800 Min. :-0.6650 Min. :-1.0300 Min. :-1.8300
## 1st Qu.:-0.0850 1st Qu.:-0.1350 1st Qu.:-0.3350 1st Qu.:-0.2350
## Median : 0.1800 Median : 0.1550 Median : 0.0525 Median : 0.1100
## Mean : 0.1345 Mean : 0.1929 Mean : 0.0360 Mean : 0.1579
## 3rd Qu.: 0.3675 3rd Qu.: 0.4725 3rd Qu.: 0.2850 3rd Qu.: 0.6550
## Max. : 1.0800 Max. : 1.1950 Max. : 1.3100 Max. : 1.3801
## data.4057 data.4058 data.4059 data.4060
## Min. :-4.9700 Min. :-1.900 Min. :-2.5000 Min. :-2.980
## 1st Qu.:-0.3800 1st Qu.:-0.290 1st Qu.:-1.3925 1st Qu.:-1.179
## Median : 0.4375 Median : 0.140 Median : 0.2875 Median : 0.565
## Mean : 0.4470 Mean : 0.306 Mean : 0.2165 Mean : 0.487
## 3rd Qu.: 1.6575 3rd Qu.: 0.815 3rd Qu.: 1.4525 3rd Qu.: 2.038
## Max. : 3.2800 Max. : 3.160 Max. : 3.0500 Max. : 3.950
## data.4061 data.4062 data.4063 data.4064
## Min. :-3.6300 Min. :-3.16502 Min. :-1.5800 Min. :-1.5300
## 1st Qu.:-0.5050 1st Qu.:-1.56000 1st Qu.:-0.5450 1st Qu.:-0.6125
## Median : 0.2175 Median : 0.08500 Median : 0.0050 Median : 0.0575
## Mean : 0.2520 Mean : 0.03925 Mean : 0.1047 Mean : 0.2862
## 3rd Qu.: 1.3850 3rd Qu.: 1.43498 3rd Qu.: 0.6600 3rd Qu.: 1.2200
## Max. : 2.5100 Max. : 2.46500 Max. : 2.1800 Max. : 2.7500
## data.4065 data.4066 data.4067 data.4068
## Min. :-0.9300 Min. :-1.2950 Min. :-1.39498 Min. :-0.66998
## 1st Qu.:-0.1175 1st Qu.:-0.1112 1st Qu.:-0.34249 1st Qu.:-0.09498
## Median : 0.0025 Median : 0.2650 Median : 0.22752 Median : 0.10752
## Mean : 0.1279 Mean : 0.2145 Mean : 0.08502 Mean : 0.12852
## 3rd Qu.: 0.4025 3rd Qu.: 0.6025 3rd Qu.: 0.52752 3rd Qu.: 0.37376
## Max. : 1.3350 Max. : 1.6350 Max. : 1.04502 Max. : 1.19002
## data.4069 data.4070 data.4071 data.4072
## Min. :-1.16000 Min. :-1.1300 Min. :-1.5400 Min. :-1.5050
## 1st Qu.:-0.42250 1st Qu.:-0.3400 1st Qu.:-0.5400 1st Qu.:-0.1875
## Median : 0.05000 Median : 0.0750 Median : 0.2850 Median : 0.3600
## Mean : 0.08025 Mean : 0.1289 Mean : 0.2902 Mean : 0.4167
## 3rd Qu.: 0.59000 3rd Qu.: 0.3700 3rd Qu.: 0.8025 3rd Qu.: 0.7800
## Max. : 1.17000 Max. : 1.9300 Max. : 2.5450 Max. : 2.8400
## data.4073 data.4074 data.4075 data.4076
## Min. :-2.07501 Min. :-1.31500 Min. :-2.0200 Min. :-2.25500
## 1st Qu.:-0.44001 1st Qu.:-0.49250 1st Qu.:-0.5300 1st Qu.:-0.87250
## Median : 0.09499 Median : 0.00000 Median : 0.0000 Median :-0.00250
## Mean : 0.13349 Mean : 0.03125 Mean : 0.1515 Mean : 0.09775
## 3rd Qu.: 0.58999 3rd Qu.: 0.17750 3rd Qu.: 0.8650 3rd Qu.: 0.77499
## Max. : 2.85999 Max. : 3.62500 Max. : 3.1650 Max. : 3.28000
## data.4077 data.4078 data.4079 data.4080
## Min. :-2.0000 Min. :-1.3750 Min. :-0.8950 Min. :-0.55500
## 1st Qu.:-0.4075 1st Qu.:-0.5275 1st Qu.:-0.3675 1st Qu.:-0.28000
## Median :-0.0300 Median :-0.0050 Median :-0.0575 Median : 0.00000
## Mean : 0.1741 Mean : 0.1647 Mean : 0.2631 Mean : 0.08187
## 3rd Qu.: 0.7387 3rd Qu.: 0.6425 3rd Qu.: 0.4600 3rd Qu.: 0.14250
## Max. : 2.7900 Max. : 2.4250 Max. : 3.5250 Max. : 2.76500
## data.4081 data.4082 data.4083 data.4084
## Min. :-0.7300 Min. :-1.08003 Min. :-0.78500 Min. :-0.6700
## 1st Qu.:-0.2200 1st Qu.:-0.10252 1st Qu.:-0.20375 1st Qu.:-0.2663
## Median : 0.0000 Median : 0.05999 Median : 0.02497 Median : 0.0150
## Mean : 0.3114 Mean : 0.11461 Mean : 0.06700 Mean : 0.0590
## 3rd Qu.: 0.4025 3rd Qu.: 0.23124 3rd Qu.: 0.36375 3rd Qu.: 0.3375
## Max. : 3.1700 Max. : 2.49999 Max. : 0.88500 Max. : 1.0000
## data.4085 data.4086 data.4087 data.4088
## Min. :-2.6350 Min. :-1.22500 Min. :-1.02000 Min. :-1.3200
## 1st Qu.:-0.3225 1st Qu.:-0.46749 1st Qu.:-0.25250 1st Qu.:-0.4725
## Median : 0.1400 Median : 0.13498 Median : 0.06499 Median :-0.0375
## Mean : 0.7919 Mean : 0.05625 Mean : 0.22037 Mean : 0.1712
## 3rd Qu.: 1.0150 3rd Qu.: 0.50500 3rd Qu.: 0.67500 3rd Qu.: 0.7525
## Max. : 6.9950 Max. : 1.93000 Max. : 2.35500 Max. : 2.6150
## data.4089 data.4090 data.4091 data.4092
## Min. :-2.4500 Min. :-1.2000 Min. :-2.25496 Min. :-2.1400
## 1st Qu.:-0.7325 1st Qu.:-0.1925 1st Qu.:-0.44748 1st Qu.:-1.0050
## Median : 0.0000 Median : 0.0350 Median : 0.01501 Median : 0.1400
## Mean : 0.3759 Mean : 0.1149 Mean :-0.04973 Mean : 0.1662
## 3rd Qu.: 1.1775 3rd Qu.: 0.2800 3rd Qu.: 0.30502 3rd Qu.: 1.1200
## Max. : 4.2950 Max. : 1.5150 Max. : 1.11502 Max. : 2.7000
## data.4093 data.4094 data.4095 data.4096
## Min. :-4.1350 Min. :-5.0000 Min. :-3.11000 Min. :-2.0600
## 1st Qu.:-2.4725 1st Qu.:-2.2850 1st Qu.:-1.05376 1st Qu.:-0.5475
## Median : 0.1250 Median :-0.1550 Median : 0.09000 Median : 0.0000
## Mean :-0.2548 Mean :-0.2863 Mean : 0.06725 Mean : 0.2021
## 3rd Qu.: 1.5175 3rd Qu.: 1.5200 3rd Qu.: 1.42250 3rd Qu.: 0.9450
## Max. : 3.3550 Max. : 3.6400 Max. : 2.28998 Max. : 3.2100
## data.4097 data.4098 data.4099 data.4100
## Min. :-2.7200 Min. :-2.4200 Min. :-3.4525 Min. :-1.9250
## 1st Qu.:-0.5475 1st Qu.:-0.5900 1st Qu.:-0.5325 1st Qu.:-1.0825
## Median :-0.0450 Median : 0.3800 Median : 0.0625 Median :-0.0550
## Mean :-0.1551 Mean : 0.1785 Mean :-0.1574 Mean :-0.2253
## 3rd Qu.: 0.3400 3rd Qu.: 0.8150 3rd Qu.: 0.5150 3rd Qu.: 0.5175
## Max. : 1.1400 Max. : 1.7800 Max. : 1.3775 Max. : 1.2650
## data.4101 data.4102 data.4103 data.4104
## Min. :-3.8900 Min. :-2.2150 Min. :-1.910020 Min. :-1.54002
## 1st Qu.:-0.7562 1st Qu.:-0.5375 1st Qu.:-0.400000 1st Qu.:-0.16999
## Median : 0.0000 Median :-0.0125 Median : 0.005000 Median : 0.07999
## Mean :-0.6058 Mean :-0.1474 Mean : 0.002749 Mean : 0.15637
## 3rd Qu.: 0.3200 3rd Qu.: 0.4625 3rd Qu.: 0.517500 3rd Qu.: 0.62500
## Max. : 1.5200 Max. : 1.3650 Max. : 1.620000 Max. : 1.46000
## data.4105 data.4106 data.4107 data.4108
## Min. :-0.940000 Min. :-3.72000 Min. :-1.14000 Min. :-1.1850
## 1st Qu.:-0.290000 1st Qu.:-0.46250 1st Qu.:-0.30500 1st Qu.:-0.2300
## Median : 0.005000 Median : 0.19000 Median : 0.10501 Median : 0.0175
## Mean : 0.002123 Mean : 0.06575 Mean : 0.05562 Mean : 0.0560
## 3rd Qu.: 0.412481 3rd Qu.: 1.07875 3rd Qu.: 0.33249 3rd Qu.: 0.3275
## Max. : 0.725000 Max. : 3.39000 Max. : 1.09000 Max. : 1.4350
## data.4109 data.4110 data.4111 data.4112
## Min. :-0.769980 Min. :-2.2250 Min. :-1.5150 Min. :-0.7650
## 1st Qu.:-0.367461 1st Qu.:-0.6075 1st Qu.:-0.2450 1st Qu.:-0.3075
## Median :-0.009951 Median : 0.0000 Median : 0.0200 Median : 0.1250
## Mean : 0.093537 Mean : 0.2290 Mean : 0.3672 Mean : 0.4089
## 3rd Qu.: 0.442539 3rd Qu.: 1.2600 3rd Qu.: 1.2400 3rd Qu.: 1.0375
## Max. : 1.710039 Max. : 2.7750 Max. : 2.5850 Max. : 2.1850
## data.4113 data.4114 data.4115 data.4116
## Min. :-1.35000 Min. :-1.2600 Min. :-1.2000 Min. :-2.06000
## 1st Qu.:-0.61500 1st Qu.:-0.1575 1st Qu.:-0.1037 1st Qu.:-0.07251
## Median : 0.01500 Median : 0.0500 Median : 0.2500 Median : 0.20499
## Mean :-0.05863 Mean : 0.2506 Mean : 0.2435 Mean : 0.19737
## 3rd Qu.: 0.51250 3rd Qu.: 0.6350 3rd Qu.: 0.5000 3rd Qu.: 0.63250
## Max. : 1.30000 Max. : 1.8200 Max. : 1.7000 Max. : 1.93000
## data.4117 data.4118 data.4119 data.4120
## Min. :-2.0050 Min. :-1.0200 Min. :-0.63001 Min. :-0.9700
## 1st Qu.:-0.3475 1st Qu.:-0.3275 1st Qu.:-0.33500 1st Qu.:-0.4575
## Median : 0.1700 Median : 0.0800 Median : 0.02499 Median :-0.0700
## Mean : 0.2505 Mean : 0.1670 Mean : 0.07949 Mean : 0.0760
## 3rd Qu.: 0.9375 3rd Qu.: 0.7225 3rd Qu.: 0.44999 3rd Qu.: 0.7300
## Max. : 2.3850 Max. : 1.4200 Max. : 1.19499 Max. : 1.4600
## data.4121 data.4122 data.4123 data.4124
## Min. :-1.6050 Min. :-0.59250 Min. :-0.920000 Min. :-1.2850
## 1st Qu.:-0.6275 1st Qu.:-0.31250 1st Qu.:-0.311250 1st Qu.:-0.1087
## Median : 0.0400 Median : 0.00125 Median :-0.005000 Median : 0.0450
## Mean : 0.0525 Mean :-0.02369 Mean :-0.005502 Mean : 0.2305
## 3rd Qu.: 0.5950 3rd Qu.: 0.20500 3rd Qu.: 0.229995 3rd Qu.: 0.4975
## Max. : 1.5600 Max. : 0.70748 Max. : 0.790000 Max. : 1.8950
## data.4125 data.4126 data.4127 data.4128
## Min. :-1.30004 Min. :-1.1000 Min. :-2.7500 Min. :-1.9225
## 1st Qu.:-0.42750 1st Qu.:-0.2112 1st Qu.:-0.5913 1st Qu.:-0.2875
## Median : 0.00000 Median : 0.0150 Median : 0.0100 Median : 0.0400
## Mean : 0.09425 Mean : 0.1965 Mean : 0.0920 Mean : 0.2690
## 3rd Qu.: 0.48750 3rd Qu.: 0.5325 3rd Qu.: 0.8100 3rd Qu.: 0.9575
## Max. : 2.24000 Max. : 3.1500 Max. : 2.3500 Max. : 2.4575
## data.4129 data.4130 data.4131 data.4132
## Min. :-1.1600 Min. :-0.7650 Min. :-0.750000 Min. :-1.520000
## 1st Qu.:-0.3275 1st Qu.:-0.1950 1st Qu.:-0.155015 1st Qu.:-0.365000
## Median : 0.0000 Median : 0.0000 Median :-0.010020 Median : 0.015000
## Mean : 0.0275 Mean : 0.1521 Mean : 0.003999 Mean :-0.006751
## 3rd Qu.: 0.4100 3rd Qu.: 0.6300 3rd Qu.: 0.175000 3rd Qu.: 0.410000
## Max. : 1.5250 Max. : 1.6200 Max. : 0.910000 Max. : 0.890000
## data.4133 data.4134 data.4135 data.4136
## Min. :-1.190000 Min. :-1.07000 Min. :-0.7700 Min. :-0.72000
## 1st Qu.:-0.297510 1st Qu.:-0.19000 1st Qu.:-0.2350 1st Qu.:-0.16000
## Median : 0.000000 Median : 0.04000 Median : 0.0100 Median : 0.00998
## Mean :-0.001752 Mean : 0.07275 Mean : 0.0350 Mean : 0.02312
## 3rd Qu.: 0.275000 3rd Qu.: 0.26875 3rd Qu.: 0.2687 3rd Qu.: 0.12250
## Max. : 0.980000 Max. : 1.09998 Max. : 1.2000 Max. : 0.72000
## data.4137 data.4138 data.4139 data.4140
## Min. :-0.9700 Min. :-0.9000 Min. :-0.9000 Min. :-1.25500
## 1st Qu.:-0.2000 1st Qu.:-0.2975 1st Qu.:-0.2000 1st Qu.:-0.36500
## Median : 0.0850 Median : 0.0650 Median : 0.1500 Median : 0.03249
## Mean : 0.2160 Mean : 0.0830 Mean : 0.1157 Mean : 0.02425
## 3rd Qu.: 0.5775 3rd Qu.: 0.4425 3rd Qu.: 0.4525 3rd Qu.: 0.39250
## Max. : 1.7600 Max. : 0.9900 Max. : 1.1700 Max. : 1.09500
## data.4141 data.4142 data.4143 data.4144
## Min. :-0.8500 Min. :-0.88000 Min. :-1.6350 Min. :-1.9600
## 1st Qu.:-0.1313 1st Qu.:-0.04503 1st Qu.:-0.1675 1st Qu.:-0.6225
## Median : 0.0200 Median : 0.15500 Median : 0.3475 Median :-0.0650
## Mean : 0.0920 Mean : 0.09600 Mean : 0.5123 Mean : 0.4679
## 3rd Qu.: 0.3150 3rd Qu.: 0.30000 3rd Qu.: 1.1200 3rd Qu.: 1.3600
## Max. : 1.2600 Max. : 1.22000 Max. : 3.3350 Max. : 3.6700
## data.4145 data.4146 data.4147 data.4148
## Min. :-1.5500 Min. :-0.87000 Min. :-1.0400 Min. :-0.6600
## 1st Qu.:-0.3475 1st Qu.:-0.33500 1st Qu.:-0.1350 1st Qu.:-0.2325
## Median : 0.1275 Median : 0.01999 Median : 0.1800 Median : 0.2100
## Mean : 0.1695 Mean : 0.12287 Mean : 0.2147 Mean : 0.1710
## 3rd Qu.: 0.8325 3rd Qu.: 0.65500 3rd Qu.: 0.6450 3rd Qu.: 0.5200
## Max. : 1.2500 Max. : 1.18998 Max. : 1.1100 Max. : 1.2400
## data.4149 data.4150 data.4151 data.4152
## Min. :-1.3400 Min. :-0.7850 Min. :-1.42001 Min. :-0.7850
## 1st Qu.:-0.3750 1st Qu.:-0.2700 1st Qu.:-0.45500 1st Qu.:-0.2475
## Median : 0.1450 Median : 0.0550 Median :-0.02500 Median : 0.0000
## Mean : 0.1371 Mean : 0.1490 Mean : 0.08151 Mean : 0.0740
## 3rd Qu.: 0.5800 3rd Qu.: 0.6075 3rd Qu.: 0.55376 3rd Qu.: 0.4750
## Max. : 1.5600 Max. : 1.1450 Max. : 1.54003 Max. : 1.0250
## data.4153 data.4154 data.4155 data.4156
## Min. :-2.0200 Min. :-2.8800 Min. :-0.69002 Min. :-0.9900
## 1st Qu.:-0.6975 1st Qu.:-0.8250 1st Qu.:-0.22502 1st Qu.:-0.3025
## Median : 0.7900 Median : 1.3300 Median : 0.03999 Median : 0.0925
## Mean : 0.7302 Mean : 0.9102 Mean : 0.07460 Mean : 0.1392
## 3rd Qu.: 1.7100 3rd Qu.: 2.4400 3rd Qu.: 0.40998 3rd Qu.: 0.4350
## Max. : 3.6000 Max. : 4.3050 Max. : 0.95998 Max. : 1.8100
## data.4157 data.4158 data.4159 data.4160
## Min. :-1.1200 Min. :-1.3900 Min. :-1.5300 Min. :-0.5250
## 1st Qu.:-0.2425 1st Qu.:-0.3750 1st Qu.:-0.6075 1st Qu.:-0.1600
## Median : 0.0250 Median : 0.0025 Median : 0.0000 Median : 0.1450
## Mean : 0.1991 Mean :-0.0400 Mean : 0.3664 Mean : 0.2557
## 3rd Qu.: 0.6175 3rd Qu.: 0.2400 3rd Qu.: 1.2750 3rd Qu.: 0.5337
## Max. : 1.9300 Max. : 1.2800 Max. : 3.9400 Max. : 1.7450
## data.4161 data.4162 data.4163 data.4164
## Min. :-0.6850 Min. :-0.7000 Min. :-2.16000 Min. :-1.5900
## 1st Qu.:-0.2125 1st Qu.:-0.1700 1st Qu.:-0.47999 1st Qu.:-0.1988
## Median : 0.0700 Median : 0.1350 Median : 0.10500 Median : 0.1450
## Mean : 0.1271 Mean : 0.2480 Mean : 0.01025 Mean : 0.0870
## 3rd Qu.: 0.3875 3rd Qu.: 0.6875 3rd Qu.: 0.57750 3rd Qu.: 0.5625
## Max. : 1.2950 Max. : 1.5300 Max. : 1.48000 Max. : 1.3100
## data.4165 data.4166 data.4167 data.4168
## Min. :-1.07002 Min. :-1.2800 Min. :-1.11000 Min. :-0.9550
## 1st Qu.:-0.40252 1st Qu.:-0.1450 1st Qu.:-0.16750 1st Qu.:-0.3200
## Median : 0.07998 Median : 0.1000 Median : 0.05499 Median : 0.2250
## Mean : 0.05298 Mean : 0.1427 Mean : 0.06650 Mean : 0.1525
## 3rd Qu.: 0.38998 3rd Qu.: 0.5125 3rd Qu.: 0.34500 3rd Qu.: 0.5150
## Max. : 0.94998 Max. : 1.2700 Max. : 1.07000 Max. : 1.5200
## data.4169 data.4170 data.4171 data.4172
## Min. :-2.00000 Min. :-0.7700 Min. :-2.0700 Min. :-2.1300
## 1st Qu.:-0.42250 1st Qu.:-0.2500 1st Qu.:-0.3600 1st Qu.:-0.3575
## Median : 0.09750 Median : 0.0075 Median : 0.1800 Median : 0.1300
## Mean : 0.05325 Mean : 0.0875 Mean : 0.1316 Mean : 0.2717
## 3rd Qu.: 0.44250 3rd Qu.: 0.3525 3rd Qu.: 0.8575 3rd Qu.: 0.8700
## Max. : 1.83000 Max. : 1.1850 Max. : 1.6000 Max. : 2.9100
## data.4173 data.4174 data.4175 data.4176
## Min. :-2.1900 Min. :-0.96500 Min. :-0.8050 Min. :-1.040
## 1st Qu.:-0.3450 1st Qu.:-0.25250 1st Qu.:-0.2575 1st Qu.:-0.475
## Median :-0.0600 Median : 0.00000 Median : 0.1950 Median : 0.010
## Mean : 0.1621 Mean : 0.06325 Mean : 0.3190 Mean : 0.160
## 3rd Qu.: 0.6950 3rd Qu.: 0.36500 3rd Qu.: 0.7575 3rd Qu.: 0.755
## Max. : 2.3800 Max. : 1.13000 Max. : 2.6850 Max. : 1.710
## data.4177 data.4178 data.4179 data.4180
## Min. :-1.19000 Min. :-0.66000 Min. :-0.795 Min. :-0.80000
## 1st Qu.:-0.39500 1st Qu.:-0.26501 1st Qu.:-0.390 1st Qu.:-0.19499
## Median : 0.18000 Median : 0.00000 Median : 0.015 Median :-0.02501
## Mean : 0.08662 Mean : 0.09837 Mean : 0.220 Mean : 0.04550
## 3rd Qu.: 0.46250 3rd Qu.: 0.41250 3rd Qu.: 0.530 3rd Qu.: 0.42249
## Max. : 1.28500 Max. : 1.71000 Max. : 2.080 Max. : 0.96000
## data.4181 data.4182 data.4183 data.4184
## Min. :-1.400000 Min. :-1.1350 Min. :-0.65000 Min. :-1.5600
## 1st Qu.:-0.322500 1st Qu.:-0.3975 1st Qu.:-0.23250 1st Qu.:-0.3600
## Median :-0.015000 Median :-0.0250 Median : 0.00000 Median : 0.0000
## Mean : 0.005874 Mean : 0.1190 Mean : 0.04887 Mean : 0.7119
## 3rd Qu.: 0.257500 3rd Qu.: 0.6850 3rd Qu.: 0.21499 3rd Qu.: 2.2325
## Max. : 1.160000 Max. : 2.2700 Max. : 1.63000 Max. : 4.1400
## data.4185 data.4186 data.4187 data.4188
## Min. :-0.89501 Min. :-0.9750 Min. :-1.6100 Min. :-1.34500
## 1st Qu.:-0.21751 1st Qu.:-0.2850 1st Qu.:-0.6125 1st Qu.:-0.51000
## Median :-0.01501 Median :-0.0075 Median : 0.0000 Median :-0.04999
## Mean : 0.17299 Mean : 0.3229 Mean : 0.2476 Mean : 0.02225
## 3rd Qu.: 0.46499 3rd Qu.: 0.3150 3rd Qu.: 0.9250 3rd Qu.: 0.69000
## Max. : 2.46499 Max. : 3.2350 Max. : 2.8000 Max. : 1.65500
## data.4189 data.4190 data.4191 data.4192
## Min. :-1.03500 Min. :-0.9975 Min. :-1.2600 Min. :-0.81002
## 1st Qu.:-0.32501 1st Qu.:-0.3025 1st Qu.:-0.3150 1st Qu.:-0.27625
## Median : 0.04501 Median :-0.0325 Median :-0.0525 Median :-0.01000
## Mean : 0.14975 Mean : 0.0695 Mean : 0.0485 Mean : 0.04125
## 3rd Qu.: 0.56250 3rd Qu.: 0.2600 3rd Qu.: 0.3775 3rd Qu.: 0.19000
## Max. : 1.59500 Max. : 1.9875 Max. : 1.5600 Max. : 1.64000
## data.4193 data.4194 data.4195 data.4196
## Min. :-1.58000 Min. :-1.9600 Min. :-0.7800 Min. :-2.14000
## 1st Qu.:-0.25250 1st Qu.:-0.6400 1st Qu.:-0.3900 1st Qu.:-0.23125
## Median :-0.02501 Median :-0.2200 Median :-0.0100 Median : 0.00000
## Mean : 0.12250 Mean :-0.1240 Mean : 0.1022 Mean : 0.06887
## 3rd Qu.: 0.48250 3rd Qu.: 0.5475 3rd Qu.: 0.4275 3rd Qu.: 0.25500
## Max. : 2.26000 Max. : 1.8200 Max. : 1.7600 Max. : 1.91998
## data.4197 data.4198 data.4199 data.4200
## Min. :-1.57000 Min. :-1.3700 Min. :-1.14000 Min. :-0.84000
## 1st Qu.:-0.16250 1st Qu.:-0.5225 1st Qu.:-0.42749 1st Qu.:-0.27750
## Median : 0.01000 Median :-0.0950 Median :-0.07500 Median :-0.00500
## Mean : 0.09525 Mean :-0.1065 Mean :-0.07188 Mean :-0.02013
## 3rd Qu.: 0.33500 3rd Qu.: 0.2450 3rd Qu.: 0.17750 3rd Qu.: 0.29750
## Max. : 1.35000 Max. : 1.5100 Max. : 1.82000 Max. : 0.68000
## data.4201 data.4202 data.4203 data.4204
## Min. :-1.77000 Min. :-1.49000 Min. :-1.0450 Min. :-1.31002
## 1st Qu.:-0.45501 1st Qu.:-0.50250 1st Qu.:-0.3025 1st Qu.:-0.27252
## Median : 0.12500 Median :-0.02500 Median :-0.1125 Median :-0.07001
## Mean : 0.04975 Mean : 0.08275 Mean :-0.1110 Mean :-0.01302
## 3rd Qu.: 0.60750 3rd Qu.: 0.66251 3rd Qu.: 0.1575 3rd Qu.: 0.38248
## Max. : 1.43000 Max. : 1.97000 Max. : 0.9350 Max. : 1.30998
## data.4205 data.4206 data.4207 data.4208
## Min. :-0.7850 Min. :-0.91500 Min. :-1.88501 Min. :-1.40000
## 1st Qu.:-0.2550 1st Qu.:-0.37500 1st Qu.:-0.52501 1st Qu.:-0.37500
## Median :-0.0150 Median :-0.06502 Median : 0.02000 Median : 0.01500
## Mean :-0.0305 Mean :-0.04925 Mean :-0.01226 Mean : 0.03912
## 3rd Qu.: 0.2500 3rd Qu.: 0.22500 3rd Qu.: 0.41499 3rd Qu.: 0.50000
## Max. : 0.8550 Max. : 1.14500 Max. : 1.21499 Max. : 1.31998
## data.4209 data.4210 data.4211 data.4212
## Min. :-1.470000 Min. :-1.085000 Min. :-1.3900 Min. :-1.86000
## 1st Qu.:-0.345000 1st Qu.:-0.367500 1st Qu.:-0.3825 1st Qu.:-0.33251
## Median : 0.005000 Median : 0.005000 Median : 0.0150 Median : 0.05501
## Mean :-0.009251 Mean :-0.001626 Mean : 0.0605 Mean : 0.15787
## 3rd Qu.: 0.317500 3rd Qu.: 0.332485 3rd Qu.: 0.4375 3rd Qu.: 0.82500
## Max. : 1.464980 Max. : 1.334980 Max. : 1.6700 Max. : 1.67998
## data.4213 data.4214 data.4215 data.4216
## Min. :-2.23001 Min. :-1.33001 Min. :-1.3350 Min. :-1.1200
## 1st Qu.:-0.29751 1st Qu.:-0.45001 1st Qu.:-0.3550 1st Qu.:-0.5075
## Median : 0.07999 Median : 0.07999 Median : 0.0000 Median : 0.0050
## Mean : 0.12524 Mean : 0.28074 Mean : 0.2552 Mean : 0.1397
## 3rd Qu.: 0.71499 3rd Qu.: 0.92499 3rd Qu.: 0.8300 3rd Qu.: 0.7350
## Max. : 2.10997 Max. : 2.52997 Max. : 2.3850 Max. : 2.1400
## data.4217 data.4218 data.4219 data.4220
## Min. :-1.0400 Min. :-1.7800 Min. :-1.6750 Min. :-0.9200
## 1st Qu.:-0.0825 1st Qu.:-0.6175 1st Qu.:-0.5400 1st Qu.:-0.1350
## Median : 0.1000 Median : 0.0550 Median : 0.1600 Median : 0.1600
## Mean : 0.3346 Mean : 0.3507 Mean : 0.1159 Mean : 0.2237
## 3rd Qu.: 0.7025 3rd Qu.: 1.1975 3rd Qu.: 0.6000 3rd Qu.: 0.4450
## Max. : 3.2000 Max. : 3.6150 Max. : 2.5850 Max. : 2.8500
## data.4221 data.4222 data.4223 data.4224
## Min. :-0.9700 Min. :-0.94006 Min. :-0.7750 Min. :-0.67000
## 1st Qu.:-0.1225 1st Qu.:-0.17002 1st Qu.:-0.2675 1st Qu.:-0.16000
## Median : 0.0800 Median : 0.02498 Median : 0.0275 Median : 0.00999
## Mean : 0.1820 Mean : 0.14948 Mean : 0.1172 Mean : 0.10775
## 3rd Qu.: 0.2600 3rd Qu.: 0.33250 3rd Qu.: 0.3000 3rd Qu.: 0.32251
## Max. : 2.5500 Max. : 2.63998 Max. : 2.4100 Max. : 1.59000
## data.4225 data.4226 data.4227 data.4228
## Min. :-1.4150 Min. :-1.04000 Min. :-1.2900 Min. :-1.2100
## 1st Qu.:-0.2700 1st Qu.:-0.27250 1st Qu.:-0.3775 1st Qu.:-0.5775
## Median : 0.1050 Median : 0.01498 Median : 0.0000 Median :-0.2550
## Mean : 0.3569 Mean : 0.01725 Mean : 0.2091 Mean : 0.1341
## 3rd Qu.: 1.0500 3rd Qu.: 0.24000 3rd Qu.: 0.2375 3rd Qu.: 0.5750
## Max. : 2.8000 Max. : 1.65000 Max. : 3.1700 Max. : 3.1700
## data.4229 data.4230 data.4231 data.4232
## Min. :-1.0350 Min. :-0.7850 Min. :-0.96000 Min. :-1.2125
## 1st Qu.:-0.3400 1st Qu.:-0.2000 1st Qu.:-0.24500 1st Qu.:-0.2950
## Median : 0.0300 Median : 0.0100 Median :-0.01499 Median :-0.0100
## Mean : 0.2602 Mean : 0.0985 Mean : 0.14375 Mean : 0.0985
## 3rd Qu.: 0.6425 3rd Qu.: 0.2525 3rd Qu.: 0.42000 3rd Qu.: 0.3400
## Max. : 2.1300 Max. : 1.3550 Max. : 1.64000 Max. : 1.8075
## data.4233 data.4234 data.4235 data.4236
## Min. :-0.75000 Min. :-0.72750 Min. :-1.02000 Min. :-0.7400
## 1st Qu.:-0.30250 1st Qu.:-0.30500 1st Qu.:-0.23000 1st Qu.:-0.2700
## Median : 0.01500 Median : 0.05251 Median : 0.01499 Median : 0.0200
## Mean : 0.09125 Mean : 0.08600 Mean :-0.05025 Mean : 0.2277
## 3rd Qu.: 0.26000 3rd Qu.: 0.44500 3rd Qu.: 0.22250 3rd Qu.: 0.4813
## Max. : 1.40000 Max. : 1.00250 Max. : 0.53000 Max. : 1.6200
## data.4237 data.4238 data.4239 data.4240
## Min. :-1.01000 Min. :-0.9800 Min. :-1.2600 Min. :-1.3500
## 1st Qu.:-0.20748 1st Qu.:-0.0825 1st Qu.:-0.2125 1st Qu.:-0.3225
## Median : 0.01002 Median : 0.1450 Median : 0.1150 Median : 0.1500
## Mean : 0.06977 Mean : 0.1352 Mean : 0.2682 Mean : 0.2667
## 3rd Qu.: 0.31252 3rd Qu.: 0.4375 3rd Qu.: 0.6975 3rd Qu.: 0.8750
## Max. : 1.58002 Max. : 1.2100 Max. : 2.5000 Max. : 2.6400
## data.4241 data.4242 data.4243 data.4244
## Min. :-2.455 Min. :-1.1200 Min. :-1.9750 Min. :-4.1350
## 1st Qu.:-0.575 1st Qu.:-0.2500 1st Qu.:-0.5237 1st Qu.:-0.3287
## Median : 0.365 Median : 0.5300 Median : 0.3300 Median : 0.5250
## Mean : 0.518 Mean : 0.6515 Mean : 0.3808 Mean : 0.4553
## 3rd Qu.: 1.758 3rd Qu.: 1.4625 3rd Qu.: 1.7000 3rd Qu.: 2.1350
## Max. : 3.060 Max. : 2.3500 Max. : 3.0050 Max. : 4.0750
## data.4245 data.4246 data.4247 data.4248
## Min. :-3.6950 Min. :-3.85000 Min. :-3.1800 Min. :-3.97000
## 1st Qu.:-0.2475 1st Qu.:-0.76875 1st Qu.:-0.3350 1st Qu.:-0.35375
## Median : 0.5300 Median : 0.04000 Median : 0.3650 Median : 0.23000
## Mean : 0.4106 Mean : 0.08775 Mean : 0.1585 Mean : 0.02825
## 3rd Qu.: 1.3787 3rd Qu.: 0.82000 3rd Qu.: 1.2250 3rd Qu.: 1.19000
## Max. : 2.6950 Max. : 2.40000 Max. : 2.5000 Max. : 2.65000
## data.4249 data.4250 data.4251 data.4252
## Min. :-3.24501 Min. :-1.4500 Min. :-2.5750 Min. :-1.01000
## 1st Qu.:-0.32751 1st Qu.:-0.2175 1st Qu.:-0.3300 1st Qu.:-0.12875
## Median : 0.15999 Median : 0.0950 Median : 0.6500 Median : 0.00000
## Mean : 0.06049 Mean : 0.1435 Mean : 0.6537 Mean : 0.08987
## 3rd Qu.: 0.81499 3rd Qu.: 0.6775 3rd Qu.: 2.0250 3rd Qu.: 0.26750
## Max. : 1.69499 Max. : 1.2800 Max. : 3.0950 Max. : 1.31000
## data.4253 data.4254 data.4255 data.4256
## Min. :-2.0200 Min. :-1.13002 Min. :-2.86502 Min. :-1.8800
## 1st Qu.:-0.2050 1st Qu.:-0.18000 1st Qu.:-0.42753 1st Qu.:-0.1325
## Median : 0.0000 Median : 0.05001 Median : 0.11500 Median : 0.1900
## Mean : 0.1659 Mean : 0.11750 Mean : 0.09325 Mean : 0.3700
## 3rd Qu.: 0.6100 3rd Qu.: 0.46250 3rd Qu.: 0.75750 3rd Qu.: 1.1000
## Max. : 1.5500 Max. : 1.07000 Max. : 1.88500 Max. : 2.1100
## data.4257 data.4258 data.4259 data.4260
## Min. :-1.5500 Min. :-2.7600 Min. :-3.99502 Min. :-3.23000
## 1st Qu.:-0.4275 1st Qu.:-0.5500 1st Qu.:-0.77750 1st Qu.:-0.55500
## Median : 0.0950 Median : 0.2000 Median : 0.36500 Median : 0.14500
## Mean : 0.2461 Mean : 0.2315 Mean :-0.08475 Mean :-0.05137
## 3rd Qu.: 0.6750 3rd Qu.: 1.0850 3rd Qu.: 1.11000 3rd Qu.: 0.78250
## Max. : 2.0400 Max. : 3.1300 Max. : 2.20500 Max. : 1.81000
## data.4261 data.4262 data.4263 data.4264
## Min. :-0.8400 Min. :-2.4300 Min. :-1.2100 Min. :-1.2350
## 1st Qu.:-0.2875 1st Qu.:-0.9000 1st Qu.:-0.5150 1st Qu.:-0.4800
## Median : 0.0700 Median : 0.0050 Median : 0.0650 Median : 0.0000
## Mean : 0.2066 Mean :-0.0775 Mean : 0.3197 Mean : 0.6377
## 3rd Qu.: 0.6925 3rd Qu.: 0.8050 3rd Qu.: 1.0450 3rd Qu.: 2.1550
## Max. : 2.5300 Max. : 1.7900 Max. : 2.8600 Max. : 4.1850
## data.4265 data.4266 data.4267 data.4268
## Min. :-0.980 Min. :-1.160000 Min. :-1.3500 Min. :-1.1050
## 1st Qu.:-0.280 1st Qu.:-0.482505 1st Qu.:-0.6050 1st Qu.:-0.1725
## Median : 0.000 Median :-0.154990 Median : 0.0750 Median : 0.0550
## Mean : 0.051 Mean :-0.006751 Mean : 0.1167 Mean : 0.2025
## 3rd Qu.: 0.475 3rd Qu.: 0.351250 3rd Qu.: 0.6425 3rd Qu.: 0.6975
## Max. : 1.160 Max. : 1.305000 Max. : 2.3850 Max. : 1.8050
## data.4269 data.4270 data.4271 data.4272
## Min. :-1.1600 Min. :-1.06002 Min. :-0.76500 Min. :-0.7300
## 1st Qu.:-0.2950 1st Qu.:-0.27250 1st Qu.:-0.07499 1st Qu.:-0.2150
## Median : 0.0250 Median : 0.07498 Median : 0.07001 Median : 0.1325
## Mean : 0.1530 Mean : 0.13050 Mean : 0.17187 Mean : 0.1145
## 3rd Qu.: 0.7963 3rd Qu.: 0.54500 3rd Qu.: 0.52750 3rd Qu.: 0.3950
## Max. : 1.8400 Max. : 1.70000 Max. : 1.16500 Max. : 1.0100
## data.4273 data.4274 data.4275 data.4276
## Min. :-0.8200 Min. :-0.97000 Min. :-1.540 Min. :-1.55998
## 1st Qu.:-0.1800 1st Qu.:-0.27875 1st Qu.:-0.325 1st Qu.:-0.43375
## Median : 0.0550 Median : 0.06498 Median : 0.145 Median : 0.04500
## Mean : 0.1662 Mean : 0.18325 Mean : 0.207 Mean : 0.06325
## 3rd Qu.: 0.3325 3rd Qu.: 0.55250 3rd Qu.: 0.705 3rd Qu.: 0.61375
## Max. : 1.8700 Max. : 2.14000 Max. : 1.780 Max. : 1.25998
## data.4277 data.4278 data.4279 data.4280
## Min. :-1.0500 Min. :-1.1500 Min. :-1.0000 Min. :-4.2200
## 1st Qu.:-0.2025 1st Qu.:-0.3175 1st Qu.:-0.0525 1st Qu.:-1.6200
## Median : 0.2000 Median : 0.2700 Median : 0.3300 Median : 0.0000
## Mean : 0.2655 Mean : 0.3839 Mean : 0.6230 Mean :-0.0201
## 3rd Qu.: 0.9100 3rd Qu.: 0.9975 3rd Qu.: 1.5700 3rd Qu.: 1.4975
## Max. : 2.1650 Max. : 3.2200 Max. : 2.6800 Max. : 3.7300
## data.4281 data.4282 data.4283 data.4284
## Min. :-0.8300 Min. :-1.6300 Min. :-0.7050 Min. :-1.1500
## 1st Qu.:-0.1525 1st Qu.:-0.3900 1st Qu.:-0.1675 1st Qu.:-0.1850
## Median : 0.1850 Median : 0.2900 Median : 0.1300 Median : 0.1450
## Mean : 0.2932 Mean : 0.5782 Mean : 0.2232 Mean : 0.2247
## 3rd Qu.: 0.4525 3rd Qu.: 1.5525 3rd Qu.: 0.4625 3rd Qu.: 0.7412
## Max. : 1.8900 Max. : 3.3750 Max. : 1.6050 Max. : 1.5300
## data.4285 data.4286 data.4287 data.4288
## Min. :-1.0100 Min. :-1.0800 Min. :-0.9100 Min. :-3.530
## 1st Qu.:-0.3500 1st Qu.:-0.3150 1st Qu.:-0.1725 1st Qu.:-0.660
## Median : 0.3750 Median : 0.2300 Median : 0.2850 Median : 1.243
## Mean : 0.3685 Mean : 0.2992 Mean : 0.3196 Mean : 0.924
## 3rd Qu.: 0.9487 3rd Qu.: 1.0025 3rd Qu.: 0.9675 3rd Qu.: 3.203
## Max. : 1.6300 Max. : 1.9700 Max. : 1.7500 Max. : 4.690
## data.4289 data.4290 data.4291 data.4292
## Min. :-2.6600 Min. :-1.7450 Min. :-2.6100 Min. :-1.4700
## 1st Qu.:-0.5225 1st Qu.:-0.0850 1st Qu.:-0.1925 1st Qu.:-0.3250
## Median : 1.0275 Median : 0.2600 Median : 0.3625 Median : 0.1825
## Mean : 1.0040 Mean : 0.3461 Mean : 0.4727 Mean : 0.2492
## 3rd Qu.: 2.8850 3rd Qu.: 0.8550 3rd Qu.: 1.3075 3rd Qu.: 0.7775
## Max. : 4.7800 Max. : 2.7650 Max. : 2.7300 Max. : 2.1800
## data.4293 data.4294 data.4295 data.4296
## Min. :-0.6800 Min. :-1.2500 Min. :-2.0050 Min. :-2.2500
## 1st Qu.:-0.1837 1st Qu.:-0.3350 1st Qu.:-0.6550 1st Qu.:-1.1025
## Median : 0.0650 Median : 0.1500 Median : 0.1200 Median :-0.1200
## Mean : 0.1640 Mean : 0.3170 Mean : 0.3401 Mean : 0.3287
## 3rd Qu.: 0.4600 3rd Qu.: 0.9312 3rd Qu.: 1.1725 3rd Qu.: 1.4688
## Max. : 1.6800 Max. : 2.4600 Max. : 3.4750 Max. : 3.7400
## data.4297 data.4298 data.4299 data.4300
## Min. :-1.6150 Min. :-1.2250 Min. :-1.3775 Min. :-1.2250
## 1st Qu.:-0.5062 1st Qu.:-0.3750 1st Qu.:-0.2900 1st Qu.:-0.3625
## Median :-0.0900 Median : 0.0500 Median : 0.0225 Median : 0.2100
## Mean : 0.3502 Mean : 0.3227 Mean : 0.4267 Mean : 0.5057
## 3rd Qu.: 0.9663 3rd Qu.: 0.8912 3rd Qu.: 1.2525 3rd Qu.: 1.5250
## Max. : 3.0550 Max. : 2.8650 Max. : 2.6225 Max. : 2.6450
## data.4301 data.4302 data.4303 data.4304
## Min. :-1.3200 Min. :-1.7800 Min. :-2.4900 Min. :-1.9700
## 1st Qu.:-0.2275 1st Qu.:-0.5525 1st Qu.:-0.1925 1st Qu.:-0.5425
## Median : 0.0150 Median : 0.0600 Median : 0.0450 Median : 0.0000
## Mean : 0.3367 Mean : 0.3290 Mean : 0.2719 Mean : 0.7297
## 3rd Qu.: 1.3325 3rd Qu.: 1.4025 3rd Qu.: 0.7050 3rd Qu.: 1.2275
## Max. : 2.1300 Max. : 3.0100 Max. : 3.6300 Max. : 5.0150
## data.4305 data.4306 data.4307 data.4308
## Min. :-1.3050 Min. :-1.8800 Min. :-2.3400 Min. :-2.480
## 1st Qu.:-0.2675 1st Qu.:-0.6600 1st Qu.:-0.3625 1st Qu.:-0.275
## Median :-0.0350 Median :-0.0150 Median : 0.0000 Median : 0.410
## Mean : 0.7449 Mean : 0.7664 Mean : 0.4007 Mean : 1.181
## 3rd Qu.: 1.3975 3rd Qu.: 1.2650 3rd Qu.: 0.8525 3rd Qu.: 2.740
## Max. : 4.3000 Max. : 5.3600 Max. : 3.8200 Max. : 6.150
## data.4309 data.4310 data.4311 data.4312
## Min. :-1.6000 Min. :-1.6000 Min. :-1.1400 Min. :-1.6100
## 1st Qu.:-0.2625 1st Qu.:-0.2350 1st Qu.:-0.3100 1st Qu.:-0.5825
## Median : 0.0800 Median : 0.1175 Median : 0.2125 Median : 0.1750
## Mean : 0.3564 Mean : 0.4565 Mean : 0.4427 Mean : 0.2675
## 3rd Qu.: 0.9750 3rd Qu.: 1.1575 3rd Qu.: 0.8400 3rd Qu.: 0.9050
## Max. : 3.2200 Max. : 3.5200 Max. : 3.0100 Max. : 3.1100
## data.4313 data.4314 data.4315 data.4316
## Min. :-1.7325 Min. :-0.9200 Min. :-0.6300 Min. :-0.50998
## 1st Qu.:-0.3725 1st Qu.:-0.2900 1st Qu.:-0.2525 1st Qu.:-0.07748
## Median : 0.0550 Median : 0.0275 Median : 0.1700 Median : 0.40502
## Mean : 0.3911 Mean : 0.3102 Mean : 0.2602 Mean : 0.46102
## 3rd Qu.: 1.0525 3rd Qu.: 0.6325 3rd Qu.: 0.5450 3rd Qu.: 0.79375
## Max. : 3.0875 Max. : 2.7500 Max. : 1.7500 Max. : 2.02002
## data.4317 data.4318 data.4319 data.4320
## Min. :-1.1800 Min. :-0.7250 Min. :-1.0400 Min. :-1.4200
## 1st Qu.:-0.4550 1st Qu.:-0.2650 1st Qu.: 0.0000 1st Qu.:-0.5850
## Median : 0.0750 Median : 0.1450 Median : 0.0000 Median : 0.0000
## Mean : 0.4275 Mean : 0.4529 Mean : 0.2225 Mean : 0.7374
## 3rd Qu.: 0.8375 3rd Qu.: 0.8000 3rd Qu.: 0.1550 3rd Qu.: 1.2725
## Max. : 2.9500 Max. : 3.1100 Max. : 2.9900 Max. : 5.3800
## data.4321 data.4322 data.4323 data.4324
## Min. :-1.59498 Min. :-1.3000 Min. :-0.4300 Min. :-0.8800
## 1st Qu.:-0.53750 1st Qu.:-0.5900 1st Qu.:-0.1925 1st Qu.:-0.2925
## Median :-0.06001 Median : 0.0000 Median :-0.0100 Median : 0.0650
## Mean : 0.48025 Mean : 0.3907 Mean : 0.3226 Mean : 0.3135
## 3rd Qu.: 0.91500 3rd Qu.: 0.9600 3rd Qu.: 0.3912 3rd Qu.: 0.8037
## Max. : 3.56500 Max. : 4.1500 Max. : 3.1700 Max. : 3.1500
## data.4325 data.4326 data.4327 data.4328
## Min. :-0.7900 Min. :-1.695 Min. :-2.0700 Min. :-0.94000
## 1st Qu.:-0.4375 1st Qu.:-0.440 1st Qu.:-0.5925 1st Qu.:-0.20500
## Median : 0.0150 Median : 0.145 Median : 0.0700 Median :-0.01999
## Mean : 0.3395 Mean : 0.465 Mean : 0.8239 Mean : 0.33212
## 3rd Qu.: 1.2112 3rd Qu.: 0.925 3rd Qu.: 1.3975 3rd Qu.: 0.49125
## Max. : 3.5100 Max. : 2.930 Max. : 4.9000 Max. : 2.40000
## data.4329 data.4330 data.4331 data.4332
## Min. :-0.7650 Min. :-1.1150 Min. :-0.9200 Min. :-1.7000
## 1st Qu.:-0.1713 1st Qu.:-0.2850 1st Qu.:-0.1500 1st Qu.:-0.2850
## Median :-0.0125 Median : 0.1075 Median : 0.1600 Median : 0.4375
## Mean : 0.2450 Mean : 0.4091 Mean : 0.2281 Mean : 0.3658
## 3rd Qu.: 0.3525 3rd Qu.: 1.1150 3rd Qu.: 0.5925 3rd Qu.: 0.9925
## Max. : 2.0650 Max. : 3.0450 Max. : 1.6100 Max. : 2.5300
## data.4333 data.4334 data.4335 data.4336
## Min. :-1.2900 Min. :-1.4200 Min. :-1.1300 Min. :-1.02002
## 1st Qu.:-0.1900 1st Qu.:-0.4275 1st Qu.:-0.2700 1st Qu.:-0.25502
## Median : 0.1325 Median : 0.2050 Median :-0.0050 Median :-0.00501
## Mean : 0.2366 Mean : 0.3400 Mean : 0.1757 Mean : 0.12573
## 3rd Qu.: 0.7100 3rd Qu.: 0.8200 3rd Qu.: 0.3950 3rd Qu.: 0.22248
## Max. : 2.4900 Max. : 2.4700 Max. : 2.0600 Max. : 1.99998
## data.4337 data.4338 data.4339 data.4340
## Min. :-0.755 Min. :-1.1000 Min. :-1.0100 Min. :-1.520
## 1st Qu.:-0.255 1st Qu.:-0.1675 1st Qu.:-0.2050 1st Qu.:-0.555
## Median : 0.065 Median : 0.0150 Median : 0.0750 Median : 0.085
## Mean : 0.192 Mean : 0.5209 Mean : 0.4121 Mean : 0.401
## 3rd Qu.: 0.460 3rd Qu.: 1.5600 3rd Qu.: 0.9100 3rd Qu.: 1.305
## Max. : 1.735 Max. : 2.5200 Max. : 3.6200 Max. : 2.800
## data.4341 data.4342 data.4343 data.4344
## Min. :-3.0750 Min. :-0.7000 Min. :-1.4250 Min. :-3.2900
## 1st Qu.:-0.8562 1st Qu.:-0.2038 1st Qu.:-0.4275 1st Qu.:-1.6662
## Median : 0.0750 Median : 0.2300 Median : 0.1100 Median : 0.1750
## Mean : 0.3512 Mean : 0.3910 Mean : 0.3462 Mean : 0.4015
## 3rd Qu.: 1.7000 3rd Qu.: 0.9250 3rd Qu.: 1.1350 3rd Qu.: 2.2487
## Max. : 3.4050 Max. : 3.0100 Max. : 2.6650 Max. : 4.6900
## data.4345 data.4346 data.4347 data.4348
## Min. :-1.0200 Min. :-1.5150 Min. :-1.7900 Min. :-2.6150
## 1st Qu.:-0.4450 1st Qu.:-0.4050 1st Qu.:-1.0550 1st Qu.:-0.7100
## Median : 0.0450 Median : 0.4100 Median : 0.0000 Median : 0.2150
## Mean : 0.0995 Mean : 0.4107 Mean : 0.2836 Mean : 0.3895
## 3rd Qu.: 0.4550 3rd Qu.: 1.3150 3rd Qu.: 1.7225 3rd Qu.: 1.5400
## Max. : 1.6600 Max. : 2.6550 Max. : 2.7700 Max. : 3.1250
## data.4349 data.4350 data.4351 data.4352
## Min. :-0.9375 Min. :-1.8000 Min. :-0.83500 Min. :-1.1550
## 1st Qu.:-0.3463 1st Qu.:-0.5225 1st Qu.:-0.12999 1st Qu.:-0.2725
## Median : 0.1525 Median : 0.4050 Median : 0.09498 Median : 0.1800
## Mean : 0.3090 Mean : 0.3241 Mean : 0.17700 Mean : 0.2676
## 3rd Qu.: 0.9950 3rd Qu.: 1.2075 3rd Qu.: 0.40750 3rd Qu.: 0.8425
## Max. : 1.9025 Max. : 2.6500 Max. : 1.15000 Max. : 1.7400
## data.4353 data.4354 data.4355 data.4356
## Min. :-4.8850 Min. :-4.950 Min. :-2.7200 Min. :-1.2750
## 1st Qu.:-1.0150 1st Qu.:-0.850 1st Qu.:-0.4250 1st Qu.:-0.2200
## Median : 0.1400 Median : 0.520 Median : 0.0000 Median : 0.0025
## Mean : 0.4762 Mean : 0.673 Mean : 0.2379 Mean : 0.2297
## 3rd Qu.: 1.9263 3rd Qu.: 2.536 3rd Qu.: 1.4800 3rd Qu.: 0.7475
## Max. : 4.7550 Max. : 5.350 Max. : 2.7000 Max. : 2.0050
## data.4357 data.4358 data.4359 data.4360
## Min. :-1.61000 Min. :-1.1400 Min. :-1.9800 Min. :-0.7600
## 1st Qu.:-0.34500 1st Qu.:-0.3775 1st Qu.:-0.5075 1st Qu.:-0.2125
## Median : 0.03499 Median : 0.0750 Median : 0.3150 Median : 0.0350
## Mean : 0.22175 Mean : 0.2367 Mean : 0.4592 Mean : 0.2640
## 3rd Qu.: 0.80000 3rd Qu.: 0.8650 3rd Qu.: 1.5625 3rd Qu.: 0.5925
## Max. : 2.07998 Max. : 2.0500 Max. : 2.6800 Max. : 1.7800
## data.4361 data.4362 data.4363 data.4364
## Min. :-2.0600 Min. :-2.7000 Min. :-1.0100 Min. :-1.0200
## 1st Qu.:-0.4900 1st Qu.:-0.4575 1st Qu.:-0.3875 1st Qu.:-0.2675
## Median : 0.2550 Median : 0.5350 Median : 0.0600 Median : 0.1450
## Mean : 0.1971 Mean : 0.6901 Mean : 0.3250 Mean : 0.2725
## 3rd Qu.: 1.0350 3rd Qu.: 1.9525 3rd Qu.: 1.0375 3rd Qu.: 0.7125
## Max. : 2.1100 Max. : 3.6900 Max. : 2.6200 Max. : 2.4100
## data.4365 data.4366 data.4367 data.4368
## Min. :-0.92000 Min. :-1.815 Min. :-1.570000 Min. :-0.8400
## 1st Qu.:-0.23250 1st Qu.:-0.280 1st Qu.:-0.220000 1st Qu.:-0.2200
## Median : 0.06997 Median : 0.135 Median : 0.005000 Median : 0.1050
## Mean : 0.17587 Mean : 0.095 Mean : 0.004373 Mean : 0.1932
## 3rd Qu.: 0.52250 3rd Qu.: 0.560 3rd Qu.: 0.267500 3rd Qu.: 0.5225
## Max. : 1.46000 Max. : 1.505 Max. : 1.420000 Max. : 1.7600
## data.4369 data.4370 data.4371 data.4372
## Min. :-0.8750 Min. :-1.06000 Min. :-1.4450 Min. :-1.4250
## 1st Qu.:-0.4600 1st Qu.:-0.34250 1st Qu.:-0.2575 1st Qu.:-0.2950
## Median : 0.0375 Median : 0.05499 Median : 0.1400 Median : 0.2000
## Mean : 0.0605 Mean : 0.07875 Mean : 0.2352 Mean : 0.1724
## 3rd Qu.: 0.3775 3rd Qu.: 0.40250 3rd Qu.: 0.6550 3rd Qu.: 0.5850
## Max. : 2.2250 Max. : 1.76000 Max. : 1.6950 Max. : 1.5950
## data.4373 data.4374 data.4375 data.4376
## Min. :-1.5700 Min. :-1.4200 Min. :-5.5200 Min. :-4.3700
## 1st Qu.:-0.1775 1st Qu.:-0.1875 1st Qu.:-0.2800 1st Qu.:-0.3950
## Median : 0.1000 Median : 0.2550 Median : 0.4700 Median : 0.3525
## Mean : 0.1961 Mean : 0.3480 Mean : 0.3106 Mean : 0.1946
## 3rd Qu.: 0.6225 3rd Qu.: 0.8325 3rd Qu.: 1.1350 3rd Qu.: 1.1400
## Max. : 1.5000 Max. : 2.0800 Max. : 3.9200 Max. : 3.0000
## data.4377 data.4378 data.4379 data.4380
## Min. :-3.1900 Min. :-1.2850 Min. :-1.1300 Min. :-1.1800
## 1st Qu.:-0.4750 1st Qu.:-0.3325 1st Qu.:-0.3525 1st Qu.:-0.1963
## Median : 0.1550 Median : 0.0000 Median : 0.1600 Median : 0.1000
## Mean : 0.0345 Mean : 0.1214 Mean : 0.3272 Mean : 0.2410
## 3rd Qu.: 0.7125 3rd Qu.: 0.6150 3rd Qu.: 0.7850 3rd Qu.: 0.8150
## Max. : 1.8100 Max. : 1.9950 Max. : 1.9900 Max. : 1.7600
## data.4381 data.4382 data.4383 data.4384
## Min. :-1.11500 Min. :-0.88999 Min. :-2.6800 Min. :-2.0700
## 1st Qu.:-0.14250 1st Qu.:-0.17874 1st Qu.:-0.7463 1st Qu.:-0.9575
## Median : 0.08499 Median : 0.05500 Median : 0.0000 Median : 0.3450
## Mean : 0.13750 Mean : 0.06376 Mean : 0.6112 Mean : 0.3547
## 3rd Qu.: 0.52997 3rd Qu.: 0.29501 3rd Qu.: 1.8125 3rd Qu.: 1.5350
## Max. : 1.39500 Max. : 1.11001 Max. : 4.9400 Max. : 3.2900
## data.4385 data.4386 data.4387 data.4388
## Min. :-1.2200 Min. :-1.3400 Min. :-2.410010 Min. :-2.6950
## 1st Qu.:-0.4450 1st Qu.:-0.2387 1st Qu.:-0.550010 1st Qu.:-0.4650
## Median : 0.2275 Median : 0.0250 Median : 0.004995 Median : 0.0025
## Mean : 0.3198 Mean : 0.1465 Mean : 0.831365 Mean : 0.8907
## 3rd Qu.: 0.8375 3rd Qu.: 0.6100 3rd Qu.: 2.029990 3rd Qu.: 2.3575
## Max. : 2.3600 Max. : 1.3600 Max. : 5.694990 Max. : 6.1800
## data.4389 data.4390 data.4391 data.4392
## Min. :-1.44500 Min. :-0.845000 Min. :-1.06500 Min. :-1.2150
## 1st Qu.:-0.47500 1st Qu.:-0.337485 1st Qu.:-0.23750 1st Qu.:-0.3300
## Median : 0.08997 Median :-0.005019 Median :-0.04000 Median :-0.0350
## Mean : 0.23675 Mean : 0.072998 Mean : 0.03425 Mean : 0.0505
## 3rd Qu.: 0.61250 3rd Qu.: 0.367495 3rd Qu.: 0.27250 3rd Qu.: 0.3650
## Max. : 3.58000 Max. : 1.485000 Max. : 1.80000 Max. : 2.0400
## data.4393 data.4394 data.4395 data.4396
## Min. :-1.97000 Min. :-1.6950 Min. :-1.4150 Min. :-1.4300
## 1st Qu.:-0.51000 1st Qu.:-1.0025 1st Qu.:-0.4725 1st Qu.:-0.3600
## Median : 0.00000 Median : 0.1700 Median : 0.1100 Median : 0.0000
## Mean :-0.01088 Mean : 0.1772 Mean : 0.1670 Mean : 0.2604
## 3rd Qu.: 0.38000 3rd Qu.: 1.1075 3rd Qu.: 0.6525 3rd Qu.: 0.7925
## Max. : 1.90000 Max. : 2.9750 Max. : 2.2750 Max. : 2.0300
## data.4397 data.4398 data.4399 data.4400
## Min. :-2.3800 Min. :-1.5300 Min. :-0.7600 Min. :-1.25000
## 1st Qu.:-0.6663 1st Qu.:-0.4550 1st Qu.:-0.1550 1st Qu.:-0.33750
## Median : 0.1000 Median : 0.0850 Median : 0.1100 Median : 0.00000
## Mean : 0.2592 Mean : 0.4152 Mean : 0.1779 Mean : 0.03137
## 3rd Qu.: 1.0675 3rd Qu.: 1.1250 3rd Qu.: 0.4825 3rd Qu.: 0.34250
## Max. : 2.4800 Max. : 2.9600 Max. : 1.5000 Max. : 1.90000
## data.4401 data.4402 data.4403 data.4404
## Min. :-1.98000 Min. :-2.32500 Min. :-2.7950 Min. :-2.98500
## 1st Qu.:-0.82750 1st Qu.:-0.43250 1st Qu.:-0.5425 1st Qu.:-0.91500
## Median : 0.00000 Median :-0.12499 Median :-0.2350 Median :-0.01249
## Mean : 0.07212 Mean : 0.01262 Mean :-0.0910 Mean :-0.08250
## 3rd Qu.: 0.92499 3rd Qu.: 0.63875 3rd Qu.: 0.7175 3rd Qu.: 0.85250
## Max. : 2.47000 Max. : 1.63500 Max. : 1.4750 Max. : 1.80500
## data.4405 data.4406 data.4407 data.4408
## Min. :-0.952500 Min. :-1.49000 Min. :-1.0700 Min. :-1.3300
## 1st Qu.:-0.235000 1st Qu.:-0.34500 1st Qu.:-0.1925 1st Qu.:-0.2675
## Median : 0.000000 Median : 0.00000 Median : 0.0250 Median : 0.0500
## Mean :-0.007502 Mean : 0.06287 Mean : 0.3712 Mean : 0.1706
## 3rd Qu.: 0.315000 3rd Qu.: 0.55500 3rd Qu.: 0.9850 3rd Qu.: 0.4650
## Max. : 0.827500 Max. : 1.48000 Max. : 2.6000 Max. : 2.3300
## data.4409 data.4410 data.4411 data.4412
## Min. :-1.8900 Min. :-1.06000 Min. :-1.6800 Min. :-1.1100
## 1st Qu.:-0.3025 1st Qu.:-0.27000 1st Qu.:-0.5975 1st Qu.:-0.4925
## Median : 0.0000 Median : 0.02500 Median : 0.0000 Median :-0.1300
## Mean : 0.1142 Mean : 0.06437 Mean :-0.1476 Mean :-0.1066
## 3rd Qu.: 0.6675 3rd Qu.: 0.51500 3rd Qu.: 0.2825 3rd Qu.: 0.2325
## Max. : 1.4100 Max. : 1.34000 Max. : 1.2200 Max. : 1.2600
## data.4413 data.4414 data.4415 data.4416
## Min. :-1.2900 Min. :-0.7400 Min. :-1.08000 Min. :-1.1400
## 1st Qu.:-0.7025 1st Qu.:-0.2950 1st Qu.:-0.53250 1st Qu.:-0.4162
## Median :-0.0500 Median :-0.0200 Median :-0.03000 Median : 0.0050
## Mean :-0.1484 Mean :-0.0210 Mean :-0.02638 Mean :-0.0570
## 3rd Qu.: 0.2800 3rd Qu.: 0.1938 3rd Qu.: 0.32250 3rd Qu.: 0.2125
## Max. : 1.1100 Max. : 2.0500 Max. : 2.57000 Max. : 1.0800
## data.4417 data.4418 data.4419 data.4420
## Min. :-2.2250 Min. :-0.8150 Min. :-0.8900 Min. :-0.97000
## 1st Qu.:-0.6063 1st Qu.:-0.4625 1st Qu.:-0.0925 1st Qu.:-0.07250
## Median : 0.0000 Median : 0.1400 Median : 0.0000 Median : 0.07000
## Mean :-0.1601 Mean : 0.3306 Mean : 0.3019 Mean : 0.09875
## 3rd Qu.: 0.3250 3rd Qu.: 1.0575 3rd Qu.: 0.5750 3rd Qu.: 0.45250
## Max. : 1.1450 Max. : 2.0650 Max. : 3.0000 Max. : 0.94500
## data.4421 data.4422 data.4423 data.4424
## Min. :-1.05000 Min. :-2.70504 Min. :-1.370020 Min. :-2.1200
## 1st Qu.:-0.43500 1st Qu.:-0.16250 1st Qu.:-0.525029 1st Qu.:-0.7025
## Median : 0.09000 Median : 0.00250 Median : 0.045000 Median : 0.0000
## Mean : 0.02875 Mean : 0.09725 Mean : 0.003249 Mean : 0.5102
## 3rd Qu.: 0.45750 3rd Qu.: 0.44750 3rd Qu.: 0.481250 3rd Qu.: 1.9325
## Max. : 1.26000 Max. : 2.30500 Max. : 1.210000 Max. : 3.8000
## data.4425 data.4426 data.4427 data.4428
## Min. :-2.7400 Min. :-2.3900 Min. :-0.6700 Min. :-0.9650
## 1st Qu.:-1.1825 1st Qu.:-0.5850 1st Qu.:-0.2300 1st Qu.:-0.2300
## Median : 0.0000 Median : 0.0000 Median : 0.0800 Median : 0.2300
## Mean : 0.3904 Mean : 0.7919 Mean : 0.1501 Mean : 0.1570
## 3rd Qu.: 2.3900 3rd Qu.: 1.9925 3rd Qu.: 0.4225 3rd Qu.: 0.5225
## Max. : 5.3200 Max. : 6.4100 Max. : 1.6000 Max. : 1.1950
## data.4429 data.4430 data.4431 data.4432
## Min. :-2.09500 Min. :-1.00000 Min. :-2.0000 Min. :-1.51002
## 1st Qu.:-0.39500 1st Qu.:-0.27750 1st Qu.:-0.2475 1st Qu.:-0.39251
## Median : 0.06001 Median : 0.00500 Median : 0.0000 Median : 0.12000
## Mean : 0.07337 Mean : 0.05912 Mean : 0.2298 Mean : 0.06075
## 3rd Qu.: 0.35750 3rd Qu.: 0.27250 3rd Qu.: 0.7900 3rd Qu.: 0.46000
## Max. : 1.81500 Max. : 1.21000 Max. : 3.0600 Max. : 1.36500
## data.4433 data.4434 data.4435 data.4436
## Min. :-1.0350 Min. :-1.55498 Min. :-1.3600 Min. :-0.8400
## 1st Qu.:-0.2550 1st Qu.:-0.35248 1st Qu.:-0.4275 1st Qu.:-0.1875
## Median : 0.0550 Median : 0.15001 Median : 0.2850 Median : 0.0100
## Mean : 0.1206 Mean : 0.03127 Mean : 0.1647 Mean : 0.1371
## 3rd Qu.: 0.5675 3rd Qu.: 0.46002 3rd Qu.: 0.6525 3rd Qu.: 0.4375
## Max. : 1.0950 Max. : 1.45502 Max. : 1.9750 Max. : 1.2650
## data.4437 data.4438 data.4439 data.4440
## Min. :-1.6600 Min. :-1.67498 Min. :-1.8300 Min. :-1.1550
## 1st Qu.:-0.4725 1st Qu.:-0.47500 1st Qu.:-0.3925 1st Qu.:-0.2575
## Median : 0.0950 Median : 0.18000 Median : 0.0900 Median : 0.1200
## Mean : 0.5740 Mean : 0.04825 Mean : 0.0550 Mean : 0.0515
## 3rd Qu.: 1.4875 3rd Qu.: 0.58000 3rd Qu.: 0.5850 3rd Qu.: 0.4300
## Max. : 3.4100 Max. : 1.29000 Max. : 1.5300 Max. : 0.9800
## data.4441 data.4442 data.4443 data.4444
## Min. :-2.3800 Min. :-0.78000 Min. :-0.72000 Min. :-0.7600
## 1st Qu.:-0.4425 1st Qu.:-0.13250 1st Qu.:-0.33750 1st Qu.:-0.2087
## Median : 0.0100 Median : 0.04500 Median : 0.02999 Median : 0.1400
## Mean : 0.0130 Mean : 0.04862 Mean : 0.10250 Mean : 0.1920
## 3rd Qu.: 0.5600 3rd Qu.: 0.18250 3rd Qu.: 0.38500 3rd Qu.: 0.4963
## Max. : 2.2600 Max. : 1.11000 Max. : 1.18000 Max. : 1.4800
## data.4445 data.4446 data.4447 data.4448
## Min. :-1.45501 Min. :-1.3300 Min. :-1.8200 Min. :-2.6350
## 1st Qu.:-0.06751 1st Qu.:-0.1875 1st Qu.:-0.3600 1st Qu.:-0.3650
## Median : 0.34498 Median : 0.2250 Median : 0.1650 Median : 0.3150
## Mean : 0.36274 Mean : 0.3777 Mean : 0.2765 Mean : 0.1972
## 3rd Qu.: 0.62499 3rd Qu.: 0.8650 3rd Qu.: 0.8263 3rd Qu.: 0.7300
## Max. : 2.27499 Max. : 3.0600 Max. : 2.9500 Max. : 2.5800
## data.4449 data.4450 data.4451 data.4452
## Min. :-1.45500 Min. :-1.5400 Min. :-1.8000 Min. :-1.6050
## 1st Qu.:-0.30750 1st Qu.:-0.4125 1st Qu.:-0.1400 1st Qu.:-0.3088
## Median : 0.09501 Median : 0.2600 Median : 0.1550 Median : 0.3150
## Mean : 0.16875 Mean : 0.1165 Mean : 0.2035 Mean : 0.2440
## 3rd Qu.: 0.38000 3rd Qu.: 0.5950 3rd Qu.: 0.8225 3rd Qu.: 0.8750
## Max. : 2.88500 Max. : 1.3100 Max. : 1.7800 Max. : 1.9550
## data.4453 data.4454 data.4455 data.4456
## Min. :-1.0000 Min. :-1.1100 Min. :-1.7450 Min. :-0.9900
## 1st Qu.:-0.1850 1st Qu.:-0.3950 1st Qu.:-0.4900 1st Qu.:-0.3600
## Median : 0.0775 Median : 0.1250 Median : 0.1000 Median :-0.1100
## Mean : 0.1684 Mean : 0.2366 Mean : 0.2615 Mean :-0.0445
## 3rd Qu.: 0.5600 3rd Qu.: 0.8050 3rd Qu.: 1.2538 3rd Qu.: 0.2550
## Max. : 1.5300 Max. : 2.8800 Max. : 2.2850 Max. : 1.1650
## data.4457 data.4458 data.4459 data.4460
## Min. :-1.3500 Min. :-1.7600 Min. :-1.2800 Min. :-1.4550
## 1st Qu.:-0.5550 1st Qu.:-0.3825 1st Qu.:-0.1725 1st Qu.:-0.1575
## Median :-0.0550 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean :-0.0660 Mean : 0.1162 Mean : 0.2659 Mean : 0.5770
## 3rd Qu.: 0.3475 3rd Qu.: 0.7200 3rd Qu.: 0.0000 3rd Qu.: 0.2375
## Max. : 1.2500 Max. : 2.3500 Max. : 4.9300 Max. : 5.0350
## data.4461 data.4462 data.4463 data.4464
## Min. :-0.86501 Min. :-1.2900 Min. :-0.61999 Min. :-1.08504
## 1st Qu.:-0.08501 1st Qu.:-0.3250 1st Qu.:-0.22249 1st Qu.:-0.36750
## Median : 0.00000 Median :-0.0100 Median : 0.04501 Median :-0.00750
## Mean : 0.56237 Mean : 0.2317 Mean : 0.01951 Mean : 0.03812
## 3rd Qu.: 0.46250 3rd Qu.: 0.4363 3rd Qu.: 0.25001 3rd Qu.: 0.43500
## Max. : 4.49499 Max. : 2.9400 Max. : 0.79001 Max. : 1.69500
## data.4465 data.4466 data.4467 data.4468
## Min. :-0.8800 Min. :-0.81000 Min. :-1.58000 Min. :-1.1900
## 1st Qu.:-0.4025 1st Qu.:-0.29125 1st Qu.:-0.27250 1st Qu.:-0.1625
## Median :-0.0200 Median :-0.01000 Median : 0.03000 Median : 0.1300
## Mean : 0.0955 Mean : 0.04537 Mean : 0.05775 Mean : 0.1432
## 3rd Qu.: 0.5525 3rd Qu.: 0.45250 3rd Qu.: 0.31875 3rd Qu.: 0.3900
## Max. : 1.4800 Max. : 0.98000 Max. : 1.39000 Max. : 1.4250
## data.4469 data.4470 data.4471 data.4472
## Min. :-0.85000 Min. :-1.2650 Min. :-0.7700 Min. :-0.830
## 1st Qu.:-0.19250 1st Qu.:-0.2250 1st Qu.:-0.1625 1st Qu.:-0.110
## Median : 0.00501 Median : 0.1200 Median : 0.0750 Median : 0.105
## Mean : 0.01462 Mean : 0.1324 Mean : 0.1035 Mean : 0.085
## 3rd Qu.: 0.18750 3rd Qu.: 0.4250 3rd Qu.: 0.3200 3rd Qu.: 0.240
## Max. : 0.72998 Max. : 1.5650 Max. : 1.5400 Max. : 1.200
## data.4473 data.4474 data.4475 data.4476
## Min. :-0.75001 Min. :-1.1100 Min. :-0.7300 Min. :-1.1400
## 1st Qu.:-0.16501 1st Qu.:-0.2900 1st Qu.:-0.2175 1st Qu.:-0.3100
## Median : 0.01499 Median : 0.0000 Median : 0.0800 Median : 0.0400
## Mean : 0.68361 Mean : 0.4144 Mean : 0.1196 Mean : 0.1896
## 3rd Qu.: 0.83248 3rd Qu.: 0.7625 3rd Qu.: 0.3625 3rd Qu.: 0.6700
## Max. : 4.90999 Max. : 4.0000 Max. : 1.5000 Max. : 2.1800
## data.4477 data.4478 data.4479 data.4480
## Min. :-0.83998 Min. :-2.12000 Min. :-2.4000 Min. :-1.0500
## 1st Qu.:-0.27248 1st Qu.:-0.78253 1st Qu.:-0.6675 1st Qu.:-0.1425
## Median : 0.01000 Median : 0.00000 Median : 0.1025 Median : 0.1450
## Mean :-0.01123 Mean :-0.09225 Mean : 0.3191 Mean : 0.2237
## 3rd Qu.: 0.22251 3rd Qu.: 0.49250 3rd Qu.: 0.8800 3rd Qu.: 0.7650
## Max. : 1.17002 Max. : 1.48000 Max. : 3.8900 Max. : 1.7100
## data.4481 data.4482 data.4483 data.4484
## Min. :-1.5800 Min. :-2.3900 Min. :-1.13000 Min. :-1.49002
## 1st Qu.:-0.2625 1st Qu.:-0.7338 1st Qu.:-0.28000 1st Qu.:-0.28750
## Median : 0.1050 Median : 0.1050 Median : 0.00000 Median : 0.01001
## Mean : 0.3322 Mean : 0.4136 Mean :-0.06013 Mean : 0.05275
## 3rd Qu.: 0.9375 3rd Qu.: 1.5325 3rd Qu.: 0.14751 3rd Qu.: 0.47375
## Max. : 2.4600 Max. : 4.0300 Max. : 0.86002 Max. : 1.32000
## data.4485 data.4486 data.4487 data.4488
## Min. :-1.54500 Min. :-0.97998 Min. :-1.66000 Min. :-2.36000
## 1st Qu.:-0.34500 1st Qu.:-0.07998 1st Qu.:-0.35250 1st Qu.:-0.30999
## Median : 0.00000 Median : 0.00000 Median : 0.10000 Median : 0.06000
## Mean :-0.03363 Mean : 0.04427 Mean : 0.06325 Mean : 0.03037
## 3rd Qu.: 0.30250 3rd Qu.: 0.27750 3rd Qu.: 0.44500 3rd Qu.: 0.41250
## Max. : 1.20502 Max. : 0.69002 Max. : 1.37000 Max. : 1.79000
## data.4489 data.4490 data.4491 data.4492
## Min. :-1.445000 Min. :-1.020000 Min. :-1.3250 Min. :-0.88002
## 1st Qu.:-0.185015 1st Qu.:-0.202500 1st Qu.:-0.3050 1st Qu.:-0.28750
## Median : 0.067490 Median : 0.000000 Median : 0.0525 Median : 0.06500
## Mean : 0.003623 Mean : 0.002623 Mean :-0.0125 Mean : 0.01475
## 3rd Qu.: 0.232515 3rd Qu.: 0.149985 3rd Qu.: 0.3000 3rd Qu.: 0.25500
## Max. : 1.285000 Max. : 0.930000 Max. : 1.0450 Max. : 0.83000
## data.4493 data.4494 data.4495 data.4496
## Min. :-1.160000 Min. :-1.99002 Min. :-1.68500 Min. :-1.53000
## 1st Qu.:-0.137515 1st Qu.:-0.46252 1st Qu.:-0.22500 1st Qu.:-0.52001
## Median : 0.110000 Median : 0.01999 Median : 0.05998 Median : 0.00000
## Mean :-0.001376 Mean :-0.08977 Mean : 0.05650 Mean : 0.06862
## 3rd Qu.: 0.260000 3rd Qu.: 0.22248 3rd Qu.: 0.45750 3rd Qu.: 0.50001
## Max. : 0.680019 Max. : 1.01998 Max. : 0.91502 Max. : 1.94000
## data.4497 data.4498 data.4499 data.4500
## Min. :-1.0100 Min. :-0.4600 Min. :-1.3700 Min. :-1.64501
## 1st Qu.:-0.2950 1st Qu.:-0.1300 1st Qu.:-0.1975 1st Qu.:-0.29251
## Median : 0.0000 Median : 0.1500 Median : 0.2100 Median : 0.02499
## Mean : 0.2106 Mean : 0.1824 Mean : 0.1518 Mean : 0.04261
## 3rd Qu.: 0.5175 3rd Qu.: 0.4875 3rd Qu.: 0.5125 3rd Qu.: 0.35247
## Max. : 2.9000 Max. : 1.1700 Max. : 1.7600 Max. : 1.61499
## data.4501 data.4502 data.4503 data.4504
## Min. :-0.6400 Min. :-1.5700 Min. :-1.8300 Min. :-2.1100
## 1st Qu.:-0.2350 1st Qu.:-0.7850 1st Qu.:-0.8875 1st Qu.:-0.7087
## Median : 0.1600 Median : 0.0000 Median : 0.1500 Median :-0.2000
## Mean : 0.0995 Mean : 0.2439 Mean : 0.1639 Mean :-0.1390
## 3rd Qu.: 0.3525 3rd Qu.: 1.0425 3rd Qu.: 1.2375 3rd Qu.: 0.5825
## Max. : 1.1600 Max. : 2.1200 Max. : 1.9400 Max. : 1.8400
## data.4505 data.4506 data.4507 data.4508
## Min. :-2.23998 Min. :-0.96501 Min. :-1.19250 Min. :-0.72000
## 1st Qu.:-0.70748 1st Qu.:-0.15752 1st Qu.:-0.19000 1st Qu.:-0.19750
## Median :-0.19498 Median : 0.03999 Median : 0.10750 Median : 0.07999
## Mean :-0.04073 Mean : 0.14224 Mean : 0.05181 Mean : 0.19175
## 3rd Qu.: 0.73252 3rd Qu.: 0.50248 3rd Qu.: 0.28750 3rd Qu.: 0.56000
## Max. : 1.67002 Max. : 1.48499 Max. : 0.67750 Max. : 1.28000
## data.4509 data.4510 data.4511 data.4512
## Min. :-0.54000 Min. :-1.560020 Min. :-0.80000 Min. :-0.91500
## 1st Qu.:-0.15500 1st Qu.:-0.610000 1st Qu.:-0.19000 1st Qu.:-0.20750
## Median : 0.08499 Median :-0.005000 Median : 0.03999 Median : 0.05500
## Mean : 0.18550 Mean :-0.009876 Mean : 0.08850 Mean : 0.09425
## 3rd Qu.: 0.56250 3rd Qu.: 0.480000 3rd Qu.: 0.39999 3rd Qu.: 0.49501
## Max. : 1.22500 Max. : 1.810000 Max. : 1.08500 Max. : 0.94500
## data.4513 data.4514 data.4515 data.4516
## Min. :-1.23000 Min. :-0.83000 Min. :-0.62500 Min. :-0.61002
## 1st Qu.:-0.24750 1st Qu.:-0.11003 1st Qu.:-0.26250 1st Qu.:-0.18251
## Median : 0.04500 Median : 0.02501 Median : 0.02500 Median : 0.01999
## Mean : 0.01675 Mean : 0.08625 Mean : 0.02375 Mean : 0.05937
## 3rd Qu.: 0.31999 3rd Qu.: 0.36500 3rd Qu.: 0.20999 3rd Qu.: 0.26000
## Max. : 0.75000 Max. : 0.84998 Max. : 0.63000 Max. : 0.92998
## data.4517 data.4518 data.4519 data.4520
## Min. :-0.8500 Min. :-0.72000 Min. :-0.73999 Min. :-0.8700
## 1st Qu.:-0.2575 1st Qu.:-0.23500 1st Qu.:-0.17999 1st Qu.:-0.2875
## Median : 0.3300 Median : 0.05000 Median : 0.03001 Median : 0.0850
## Mean : 0.2615 Mean : 0.01625 Mean : 0.01776 Mean : 0.1625
## 3rd Qu.: 0.7050 3rd Qu.: 0.25500 3rd Qu.: 0.23501 3rd Qu.: 0.7050
## Max. : 1.2550 Max. : 0.74000 Max. : 0.89001 Max. : 1.2950
## data.4521 data.4522 data.4523 data.4524
## Min. :-0.7900 Min. :-0.85000 Min. :-0.70000 Min. :-0.82000
## 1st Qu.:-0.1825 1st Qu.:-0.16750 1st Qu.:-0.19000 1st Qu.:-0.22000
## Median : 0.0175 Median : 0.01000 Median : 0.00998 Median : 0.06498
## Mean : 0.1222 Mean : 0.01375 Mean : 0.07075 Mean : 0.07412
## 3rd Qu.: 0.2900 3rd Qu.: 0.18750 3rd Qu.: 0.27501 3rd Qu.: 0.40750
## Max. : 1.3600 Max. : 1.10000 Max. : 1.43000 Max. : 0.95000
## data.4525 data.4526 data.4527 data.4528
## Min. :-1.50000 Min. :-0.9850 Min. :-0.7400 Min. :-0.80996
## 1st Qu.:-0.27750 1st Qu.:-0.3075 1st Qu.:-0.2650 1st Qu.:-0.25249
## Median : 0.08500 Median : 0.0525 Median : 0.1950 Median : 0.03004
## Mean : 0.08825 Mean : 0.0135 Mean : 0.2159 Mean : 0.12929
## 3rd Qu.: 0.46997 3rd Qu.: 0.3075 3rd Qu.: 0.4512 3rd Qu.: 0.46378
## Max. : 1.77000 Max. : 0.9450 Max. : 2.0200 Max. : 1.71004
## data.4529 data.4530 data.4531 data.4532
## Min. :-1.14000 Min. :-0.945010 Min. :-1.50999 Min. :-1.055
## 1st Qu.:-0.20501 1st Qu.:-0.252510 1st Qu.:-0.49249 1st Qu.:-0.375
## Median : 0.07249 Median :-0.007505 Median : 0.00000 Median : 0.290
## Mean : 0.21100 Mean :-0.014136 Mean : 0.01801 Mean : 0.174
## 3rd Qu.: 0.55500 3rd Qu.: 0.252490 3rd Qu.: 0.33501 3rd Qu.: 0.540
## Max. : 2.35000 Max. : 0.964990 Max. : 2.14001 Max. : 1.650
## data.4533 data.4534 data.4535 data.4536
## Min. :-1.4500 Min. :-0.8050 Min. :-0.9100 Min. :-1.9050
## 1st Qu.:-0.2475 1st Qu.:-0.1575 1st Qu.:-0.2000 1st Qu.:-0.3475
## Median : 0.2950 Median : 0.0550 Median :-0.0450 Median : 0.0750
## Mean : 0.2500 Mean : 0.1027 Mean : 0.0290 Mean : 0.1861
## 3rd Qu.: 0.6687 3rd Qu.: 0.3850 3rd Qu.: 0.3725 3rd Qu.: 0.7650
## Max. : 1.8300 Max. : 1.0350 Max. : 1.0500 Max. : 2.0350
## data.4537 data.4538 data.4539 data.4540
## Min. :-1.74000 Min. :-0.9200 Min. :-1.42500 Min. :-1.08500
## 1st Qu.:-0.35999 1st Qu.:-0.2625 1st Qu.:-0.39500 1st Qu.:-0.35000
## Median : 0.04999 Median : 0.0450 Median :-0.04750 Median :-0.02250
## Mean :-0.04538 Mean : 0.1274 Mean : 0.05512 Mean : 0.05525
## 3rd Qu.: 0.24249 3rd Qu.: 0.5250 3rd Qu.: 0.50000 3rd Qu.: 0.40000
## Max. : 1.21000 Max. : 1.3100 Max. : 1.48500 Max. : 1.41500
## data.4541 data.4542 data.4543 data.4544
## Min. :-0.8475 Min. :-0.7900 Min. :-0.89000 Min. :-0.51998
## 1st Qu.:-0.1625 1st Qu.:-0.1100 1st Qu.:-0.25500 1st Qu.:-0.14250
## Median : 0.1650 Median : 0.1075 Median : 0.00500 Median :-0.00500
## Mean : 0.1302 Mean : 0.1204 Mean : 0.08125 Mean : 0.06025
## 3rd Qu.: 0.5525 3rd Qu.: 0.3700 3rd Qu.: 0.33000 3rd Qu.: 0.24750
## Max. : 1.2425 Max. : 1.2200 Max. : 1.44000 Max. : 1.22000
## data.4545 data.4546 data.4547 data.4548
## Min. :-0.90500 Min. :-1.12998 Min. :-0.9400 Min. :-1.28001
## 1st Qu.:-0.15375 1st Qu.:-0.12873 1st Qu.:-0.0525 1st Qu.:-0.26001
## Median : 0.08001 Median :-0.01499 Median : 0.1350 Median : 0.04499
## Mean : 0.10675 Mean :-0.02123 Mean : 0.1659 Mean : 0.03274
## 3rd Qu.: 0.44250 3rd Qu.: 0.16001 3rd Qu.: 0.4550 3rd Qu.: 0.27749
## Max. : 1.20500 Max. : 0.80002 Max. : 1.2300 Max. : 1.02997
## data.4549 data.4550 data.4551 data.4552
## Min. :-2.2450 Min. :-2.3300 Min. :-1.5050 Min. :-1.8650
## 1st Qu.:-0.5100 1st Qu.:-0.4100 1st Qu.:-0.3725 1st Qu.:-0.3725
## Median : 0.1200 Median : 0.1200 Median : 0.1525 Median : 0.1650
## Mean : 0.1380 Mean : 0.2242 Mean : 0.1347 Mean : 0.0835
## 3rd Qu.: 0.9275 3rd Qu.: 1.1200 3rd Qu.: 0.6600 3rd Qu.: 0.4975
## Max. : 2.4400 Max. : 2.3600 Max. : 1.6550 Max. : 1.5850
## data.4553 data.4554 data.4555 data.4556
## Min. :-1.16499 Min. :-0.7800 Min. :-0.9400 Min. :-0.9900
## 1st Qu.:-0.21499 1st Qu.:-0.1925 1st Qu.:-0.2025 1st Qu.:-0.1175
## Median : 0.21001 Median : 0.2050 Median : 0.1800 Median : 0.1450
## Mean : 0.07951 Mean : 0.1660 Mean : 0.1672 Mean : 0.1440
## 3rd Qu.: 0.35751 3rd Qu.: 0.4475 3rd Qu.: 0.4875 3rd Qu.: 0.5050
## Max. : 1.06501 Max. : 1.1750 Max. : 1.3600 Max. : 1.2500
## data.4557 data.4558 data.4559 data.4560
## Min. :-0.77499 Min. :-0.83500 Min. :-1.33750 Min. :-0.9700
## 1st Qu.:-0.31249 1st Qu.:-0.10753 1st Qu.:-0.31750 1st Qu.:-0.2375
## Median : 0.04501 Median : 0.04999 Median : 0.08749 Median : 0.0200
## Mean : 0.04001 Mean : 0.03775 Mean : 0.10194 Mean : 0.1400
## 3rd Qu.: 0.32502 3rd Qu.: 0.31000 3rd Qu.: 0.41500 3rd Qu.: 0.4088
## Max. : 1.02501 Max. : 0.80500 Max. : 1.65250 Max. : 1.7100
## data.4561 data.4562 data.4563 data.4564
## Min. :-1.10500 Min. :-1.6100 Min. :-1.36001 Min. :-2.3700
## 1st Qu.:-0.27750 1st Qu.:-0.2475 1st Qu.:-0.36501 1st Qu.:-0.2000
## Median :-0.01999 Median : 0.1700 Median : 0.06999 Median : 0.0150
## Mean : 0.03700 Mean : 0.2375 Mean : 0.12074 Mean : 0.0800
## 3rd Qu.: 0.42500 3rd Qu.: 0.5775 3rd Qu.: 0.61498 3rd Qu.: 0.5025
## Max. : 1.55500 Max. : 3.3400 Max. : 2.37499 Max. : 1.8300
## data.4565 data.4566 data.4567 data.4568
## Min. :-4.43000 Min. :-1.70000 Min. :-0.7600 Min. :-1.0900
## 1st Qu.:-0.47250 1st Qu.:-0.32250 1st Qu.:-0.1375 1st Qu.:-0.2350
## Median : 0.03750 Median : 0.00000 Median : 0.0600 Median : 0.0000
## Mean :-0.02075 Mean : 0.08425 Mean : 0.1285 Mean : 0.1829
## 3rd Qu.: 0.70252 3rd Qu.: 0.59250 3rd Qu.: 0.4325 3rd Qu.: 0.5525
## Max. : 2.25000 Max. : 1.96000 Max. : 1.3900 Max. : 1.6300
## data.4569 data.4570 data.4571 data.4572
## Min. :-1.020039 Min. :-1.695000 Min. :-1.29000 Min. :-1.2850
## 1st Qu.:-0.300000 1st Qu.:-0.227500 1st Qu.:-0.26500 1st Qu.:-0.1475
## Median : 0.055010 Median : 0.092500 Median : 0.06000 Median : 0.2300
## Mean :-0.006377 Mean : 0.003498 Mean : 0.04525 Mean : 0.1600
## 3rd Qu.: 0.339985 3rd Qu.: 0.345000 3rd Qu.: 0.43750 3rd Qu.: 0.4425
## Max. : 0.750000 Max. : 1.160000 Max. : 1.35498 Max. : 1.2550
## data.4573 data.4574 data.4575 data.4576
## Min. :-1.3100 Min. :-4.195 Min. :-1.0950 Min. :-0.96001
## 1st Qu.:-0.2050 1st Qu.:-0.570 1st Qu.:-0.4662 1st Qu.:-0.39751
## Median : 0.1900 Median : 0.165 Median :-0.0300 Median : 0.00000
## Mean : 0.2167 Mean :-0.247 Mean :-0.0235 Mean : 0.06099
## 3rd Qu.: 0.6100 3rd Qu.: 0.455 3rd Qu.: 0.3175 3rd Qu.: 0.47249
## Max. : 1.6700 Max. : 1.725 Max. : 1.6250 Max. : 1.71001
## data.4577 data.4578 data.4579 data.4580
## Min. :-0.9200 Min. :-0.9200 Min. :-1.0700 Min. :-1.25000
## 1st Qu.:-0.2200 1st Qu.:-0.2025 1st Qu.:-0.2062 1st Qu.:-0.30751
## Median : 0.1050 Median : 0.0350 Median : 0.0700 Median : 0.11499
## Mean : 0.1715 Mean : 0.1165 Mean : 0.1490 Mean : 0.06625
## 3rd Qu.: 0.5125 3rd Qu.: 0.4025 3rd Qu.: 0.4300 3rd Qu.: 0.33750
## Max. : 1.9300 Max. : 1.5700 Max. : 1.5600 Max. : 1.28000
## data.4581 data.4582 data.4583 data.4584
## Min. :-1.04499 Min. :-0.91000 Min. :-1.3400 Min. :-0.96998
## 1st Qu.:-0.33999 1st Qu.:-0.24751 1st Qu.:-0.3875 1st Qu.:-0.29998
## Median : 0.00500 Median :-0.01000 Median :-0.1150 Median :-0.01998
## Mean :-0.02512 Mean :-0.04175 Mean :-0.1163 Mean :-0.05148
## 3rd Qu.: 0.35501 3rd Qu.: 0.24375 3rd Qu.: 0.1400 3rd Qu.: 0.18502
## Max. : 0.91501 Max. : 0.61998 Max. : 0.8500 Max. : 0.90002
## data.4585 data.4586 data.4587 data.4588
## Min. :-1.65002 Min. :-0.96000 Min. :-0.7700 Min. :-1.0850000
## 1st Qu.:-0.22002 1st Qu.:-0.20750 1st Qu.:-0.1875 1st Qu.:-0.2850098
## Median : 0.01998 Median :-0.00500 Median : 0.0050 Median :-0.0025000
## Mean :-0.04627 Mean : 0.05175 Mean : 0.0940 Mean : 0.0004985
## 3rd Qu.: 0.20998 3rd Qu.: 0.38875 3rd Qu.: 0.4425 3rd Qu.: 0.3512500
## Max. : 0.68998 Max. : 0.93000 Max. : 1.0300 Max. : 0.8350000
## data.4589 data.4590 data.4591 data.4592
## Min. :-0.57000 Min. :-0.9550 Min. :-0.9300 Min. :-1.03002
## 1st Qu.:-0.16250 1st Qu.:-0.2550 1st Qu.:-0.4300 1st Qu.:-0.29750
## Median : 0.02250 Median :-0.0050 Median : 0.0000 Median :-0.01000
## Mean : 0.07575 Mean :-0.0335 Mean : 0.1064 Mean : 0.08275
## 3rd Qu.: 0.29000 3rd Qu.: 0.2100 3rd Qu.: 0.4850 3rd Qu.: 0.47875
## Max. : 1.06000 Max. : 0.7450 Max. : 1.7900 Max. : 1.79000
## data.4593 data.4594 data.4595 data.4596
## Min. :-1.590000 Min. :-1.075000 Min. :-1.2550 Min. :-1.0350
## 1st Qu.:-0.275000 1st Qu.:-0.287500 1st Qu.:-0.2650 1st Qu.:-0.2900
## Median : 0.010000 Median : 0.035000 Median : 0.0125 Median : 0.1250
## Mean :-0.004001 Mean :-0.004751 Mean : 0.1291 Mean : 0.0900
## 3rd Qu.: 0.360005 3rd Qu.: 0.180000 3rd Qu.: 0.4275 3rd Qu.: 0.4925
## Max. : 1.070000 Max. : 1.145000 Max. : 1.3350 Max. : 0.9350
## data.4597 data.4598 data.4599 data.4600
## Min. :-0.860000 Min. :-0.7700 Min. :-1.3200 Min. :-0.5800
## 1st Qu.:-0.200000 1st Qu.:-0.3550 1st Qu.:-0.5075 1st Qu.:-0.2525
## Median : 0.000000 Median :-0.0250 Median :-0.0650 Median :-0.0175
## Mean :-0.008877 Mean :-0.0455 Mean :-0.1053 Mean : 0.0715
## 3rd Qu.: 0.225000 3rd Qu.: 0.1900 3rd Qu.: 0.3425 3rd Qu.: 0.2925
## Max. : 0.570020 Max. : 1.0050 Max. : 0.8500 Max. : 1.0300
## data.4601 data.4602 data.4603 data.4604
## Min. :-0.8200 Min. :-0.81501 Min. :-0.64000 Min. :-0.87000
## 1st Qu.:-0.3275 1st Qu.:-0.32751 1st Qu.:-0.17750 1st Qu.:-0.19250
## Median :-0.0475 Median : 0.00000 Median : 0.05000 Median : 0.06500
## Mean : 0.0130 Mean : 0.06849 Mean : 0.04925 Mean : 0.04475
## 3rd Qu.: 0.2850 3rd Qu.: 0.33248 3rd Qu.: 0.30500 3rd Qu.: 0.28875
## Max. : 1.2600 Max. : 1.32497 Max. : 0.98000 Max. : 0.76002
## data.4605 data.4606 data.4607 data.4608
## Min. :-1.2400 Min. :-0.73501 Min. :-1.2649610 Min. :-0.80000
## 1st Qu.:-0.2350 1st Qu.:-0.14001 1st Qu.:-0.2699610 1st Qu.:-0.34253
## Median : 0.0350 Median : 0.01999 Median : 0.0000195 Median : 0.00500
## Mean : 0.0360 Mean : 0.07036 Mean : 0.0279101 Mean : 0.08225
## 3rd Qu.: 0.2875 3rd Qu.: 0.22499 3rd Qu.: 0.2575390 3rd Qu.: 0.37625
## Max. : 1.1500 Max. : 1.29501 Max. : 2.1200590 Max. : 2.97002
## data.4609 data.4610 data.4611 data.4612
## Min. :-0.6400 Min. :-1.18998 Min. :-0.95000 Min. :-1.050000
## 1st Qu.:-0.1725 1st Qu.:-0.40248 1st Qu.:-0.37500 1st Qu.:-0.245000
## Median :-0.0100 Median : 0.01501 Median : 0.02500 Median : 0.040000
## Mean : 0.1067 Mean :-0.03148 Mean :-0.01925 Mean : 0.007498
## 3rd Qu.: 0.3375 3rd Qu.: 0.34502 3rd Qu.: 0.28500 3rd Qu.: 0.275005
## Max. : 2.2800 Max. : 0.81002 Max. : 0.88002 Max. : 0.780019
## data.4613 data.4614 data.4615 data.4616
## Min. :-1.06000 Min. :-2.0000 Min. :-1.57000 Min. :-1.00000
## 1st Qu.:-0.23000 1st Qu.:-0.2725 1st Qu.:-0.31000 1st Qu.:-0.31500
## Median : 0.04500 Median : 0.0075 Median :-0.04000 Median :-0.02500
## Mean : 0.04425 Mean :-0.0175 Mean :-0.06975 Mean :-0.03875
## 3rd Qu.: 0.34501 3rd Qu.: 0.3225 3rd Qu.: 0.24249 3rd Qu.: 0.21750
## Max. : 0.94000 Max. : 0.9800 Max. : 0.87000 Max. : 1.08000
## data.4617 data.4618 data.4619 data.4620
## Min. :-0.95500 Min. :-1.26000 Min. :-1.5500 Min. :-0.81498
## 1st Qu.:-0.19001 1st Qu.:-0.12000 1st Qu.:-0.1825 1st Qu.:-0.20623
## Median : 0.05000 Median : 0.00500 Median : 0.0800 Median : 0.12002
## Mean : 0.07075 Mean :-0.01525 Mean : 0.0955 Mean : 0.07327
## 3rd Qu.: 0.32501 3rd Qu.: 0.25000 3rd Qu.: 0.4075 3rd Qu.: 0.30752
## Max. : 1.96502 Max. : 1.90002 Max. : 1.1300 Max. : 0.93004
## data.4621 data.4622 data.4623 data.4624
## Min. :-1.4350 Min. :-1.39000 Min. :-1.1000000 Min. :-1.3200
## 1st Qu.:-0.3350 1st Qu.:-0.42125 1st Qu.:-0.1850292 1st Qu.:-0.1475
## Median :-0.0075 Median : 0.04000 Median : 0.0700000 Median : 0.0150
## Mean :-0.0545 Mean :-0.02825 Mean :-0.0002515 Mean : 0.0765
## 3rd Qu.: 0.2175 3rd Qu.: 0.38000 3rd Qu.: 0.1725000 3rd Qu.: 0.4775
## Max. : 1.5650 Max. : 1.16002 Max. : 0.7900195 Max. : 1.1700
## data.4625 data.4626 data.4627 data.4628
## Min. :-1.63499 Min. :-1.6600 Min. :-1.06003 Min. :-0.90500
## 1st Qu.:-0.17750 1st Qu.:-0.2475 1st Qu.:-0.01501 1st Qu.:-0.22625
## Median : 0.01501 Median : 0.0250 Median : 0.09499 Median : 0.09500
## Mean : 0.01601 Mean : 0.1022 Mean : 0.08224 Mean : 0.08275
## 3rd Qu.: 0.34751 3rd Qu.: 0.3575 3rd Qu.: 0.35999 3rd Qu.: 0.54750
## Max. : 1.10503 Max. : 1.9400 Max. : 0.82999 Max. : 0.86500
## data.4629 data.4630 data.4631 data.4632
## Min. :-1.00000 Min. :-1.12000 Min. :-1.6300 Min. :-1.1700
## 1st Qu.:-0.26500 1st Qu.:-0.09000 1st Qu.:-0.1675 1st Qu.:-0.2150
## Median : 0.07999 Median : 0.01998 Median : 0.1100 Median : 0.2300
## Mean : 0.08225 Mean : 0.14687 Mean : 0.1680 Mean : 0.1940
## 3rd Qu.: 0.50000 3rd Qu.: 0.41500 3rd Qu.: 0.4125 3rd Qu.: 0.4825
## Max. : 0.99000 Max. : 1.32000 Max. : 1.5800 Max. : 1.8700
## data.4633 data.4634 data.4635 data.4636
## Min. :-0.8700 Min. :-1.0100 Min. :-1.3950 Min. :-0.98002
## 1st Qu.:-0.0275 1st Qu.:-0.0625 1st Qu.:-0.0650 1st Qu.:-0.02251
## Median : 0.2550 Median : 0.3400 Median : 0.3500 Median : 0.11000
## Mean : 0.3055 Mean : 0.3780 Mean : 0.3962 Mean : 0.16900
## 3rd Qu.: 0.5900 3rd Qu.: 0.6700 3rd Qu.: 0.7725 3rd Qu.: 0.52250
## Max. : 1.5700 Max. : 2.0400 Max. : 1.9550 Max. : 1.10000
## data.4637 data.4638 data.4639 data.4640
## Min. :-1.8500 Min. :-1.7350 Min. :-0.8100 Min. :-0.99501
## 1st Qu.:-0.2550 1st Qu.:-0.2925 1st Qu.:-0.1825 1st Qu.:-0.30751
## Median : 0.2250 Median : 0.0525 Median : 0.0400 Median :-0.05001
## Mean : 0.3541 Mean : 0.0800 Mean : 0.1079 Mean : 0.04474
## 3rd Qu.: 0.8350 3rd Qu.: 0.4750 3rd Qu.: 0.3875 3rd Qu.: 0.19499
## Max. : 2.9600 Max. : 1.5650 Max. : 1.1600 Max. : 1.64499
## data.4641 data.4642 data.4643 data.4644
## Min. :-0.75000 Min. :-0.59000 Min. :-1.1200 Min. :-0.4300
## 1st Qu.:-0.16250 1st Qu.:-0.05501 1st Qu.:-0.1963 1st Qu.:-0.1325
## Median : 0.06001 Median : 0.13000 Median : 0.1800 Median : 0.0500
## Mean : 0.05887 Mean : 0.19837 Mean : 0.1344 Mean : 0.2230
## 3rd Qu.: 0.32000 3rd Qu.: 0.40500 3rd Qu.: 0.4150 3rd Qu.: 0.4150
## Max. : 0.86500 Max. : 1.15000 Max. : 1.3000 Max. : 1.8300
## data.4645 data.4646 data.4647 data.4648
## Min. :-0.8350 Min. :-1.76500 Min. :-2.2850 Min. :-1.21004
## 1st Qu.:-0.2037 1st Qu.:-0.37503 1st Qu.:-0.3650 1st Qu.:-0.65250
## Median : 0.1400 Median : 0.08999 Median : 0.0350 Median : 0.00000
## Mean : 0.2697 Mean : 0.28950 Mean : 0.2167 Mean :-0.05027
## 3rd Qu.: 0.7175 3rd Qu.: 0.73500 3rd Qu.: 0.7875 3rd Qu.: 0.51248
## Max. : 2.2600 Max. : 2.96500 Max. : 2.5250 Max. : 1.27998
## data.4649 data.4650 data.4651 data.4652
## Min. :-1.77002 Min. :-1.07502 Min. :-1.3900000 Min. :-0.7900
## 1st Qu.:-0.54249 1st Qu.:-0.34500 1st Qu.:-0.2537500 1st Qu.:-0.3125
## Median : 0.00000 Median : 0.00000 Median : 0.0450000 Median : 0.0000
## Mean :-0.07238 Mean : 0.02625 Mean : 0.0006235 Mean : 0.0360
## 3rd Qu.: 0.15625 3rd Qu.: 0.34500 3rd Qu.: 0.5050000 3rd Qu.: 0.3275
## Max. : 1.76000 Max. : 1.56500 Max. : 0.9700000 Max. : 1.1300
## data.4653 data.4654 data.4655 data.4656
## Min. :-0.654990 Min. :-1.7900 Min. :-2.5300 Min. :-1.0000
## 1st Qu.:-0.181240 1st Qu.:-0.2875 1st Qu.:-0.2300 1st Qu.:-0.1525
## Median :-0.002505 Median : 0.0000 Median : 0.1750 Median : 0.0400
## Mean : 0.149133 Mean : 0.1641 Mean : 0.2836 Mean : 0.1249
## 3rd Qu.: 0.430010 3rd Qu.: 0.5775 3rd Qu.: 0.8825 3rd Qu.: 0.4525
## Max. : 1.205029 Max. : 2.7300 Max. : 4.1100 Max. : 1.5700
## data.4657 data.4658 data.4659 data.4660
## Min. :-0.97500 Min. :-3.2450 Min. :-0.8250 Min. :-1.5000
## 1st Qu.:-0.20500 1st Qu.:-0.7350 1st Qu.:-0.2450 1st Qu.:-0.3900
## Median : 0.05498 Median : 0.2900 Median : 0.1225 Median : 0.3100
## Mean : 0.05325 Mean : 0.1265 Mean : 0.1377 Mean : 0.2482
## 3rd Qu.: 0.36251 3rd Qu.: 0.9900 3rd Qu.: 0.5225 3rd Qu.: 0.8837
## Max. : 1.15000 Max. : 2.3650 Max. : 1.0450 Max. : 1.9700
## data.4661 data.4662 data.4663 data.4664
## Min. :-1.1900 Min. :-1.2500 Min. :-1.02250 Min. :-2.3050
## 1st Qu.:-0.2125 1st Qu.:-0.2450 1st Qu.:-0.07750 1st Qu.:-0.5075
## Median : 0.0000 Median : 0.2350 Median : 0.05251 Median :-0.0075
## Mean : 0.1171 Mean : 0.5176 Mean : 0.10919 Mean :-0.0395
## 3rd Qu.: 0.3825 3rd Qu.: 1.2525 3rd Qu.: 0.32250 3rd Qu.: 0.4625
## Max. : 1.4300 Max. : 3.3600 Max. : 1.46250 Max. : 1.3550
## data.4665 data.4666 data.4667 data.4668
## Min. :-1.71502 Min. :-1.84000 Min. :-0.6850 Min. :-1.30501
## 1st Qu.:-0.30250 1st Qu.:-0.41000 1st Qu.:-0.1750 1st Qu.:-0.24001
## Median : 0.02500 Median :-0.01000 Median : 0.0950 Median : 0.12999
## Mean : 0.02962 Mean : 0.09237 Mean : 0.1105 Mean : 0.06524
## 3rd Qu.: 0.43750 3rd Qu.: 0.44750 3rd Qu.: 0.3475 3rd Qu.: 0.36499
## Max. : 0.92500 Max. : 2.60000 Max. : 1.1000 Max. : 1.03499
## data.4669 data.4670 data.4671 data.4672
## Min. :-2.11000 Min. :-2.72998 Min. :-3.1300 Min. :-2.93503
## 1st Qu.:-0.18751 1st Qu.:-1.18748 1st Qu.:-0.7175 1st Qu.:-0.71251
## Median : 0.00000 Median : 0.21502 Median : 0.4000 Median : 0.05998
## Mean : 0.03937 Mean :-0.09098 Mean : 0.1422 Mean :-0.03201
## 3rd Qu.: 0.44500 3rd Qu.: 0.83252 3rd Qu.: 1.1275 3rd Qu.: 0.66499
## Max. : 0.93000 Max. : 1.87002 Max. : 2.1100 Max. : 1.77499
## data.4673 data.4674 data.4675 data.4676
## Min. :-0.7600 Min. :-1.04000 Min. :-1.01000 Min. :-0.86000
## 1st Qu.:-0.2925 1st Qu.:-0.30250 1st Qu.:-0.41000 1st Qu.:-0.35375
## Median : 0.0850 Median :-0.02250 Median : 0.00000 Median :-0.01500
## Mean : 0.1370 Mean :-0.03125 Mean :-0.02775 Mean :-0.03275
## 3rd Qu.: 0.4875 3rd Qu.: 0.29500 3rd Qu.: 0.33750 3rd Qu.: 0.22250
## Max. : 1.5600 Max. : 0.78000 Max. : 0.92000 Max. : 0.97000
## data.4677 data.4678 data.4679 data.4680
## Min. :-0.88750 Min. :-0.7050 Min. :-1.24000 Min. :-0.8950
## 1st Qu.:-0.37625 1st Qu.:-0.1600 1st Qu.:-0.47000 1st Qu.:-0.1688
## Median :-0.04250 Median : 0.0700 Median : 0.00499 Median : 0.0400
## Mean :-0.03275 Mean : 0.0845 Mean : 0.02025 Mean : 0.0975
## 3rd Qu.: 0.35750 3rd Qu.: 0.2913 3rd Qu.: 0.45250 3rd Qu.: 0.4813
## Max. : 1.21250 Max. : 0.9650 Max. : 1.59000 Max. : 0.9750
## data.4681 data.4682 data.4683 data.4684
## Min. :-0.8900 Min. :-0.79000 Min. :-1.2950 Min. :-1.229981
## 1st Qu.:-0.1125 1st Qu.:-0.35875 1st Qu.:-0.2800 1st Qu.:-0.309980
## Median : 0.1300 Median :-0.01000 Median : 0.0250 Median :-0.007500
## Mean : 0.1230 Mean :-0.09463 Mean : 0.1331 Mean : 0.008768
## 3rd Qu.: 0.5363 3rd Qu.: 0.17000 3rd Qu.: 0.5425 3rd Qu.: 0.300019
## Max. : 1.0500 Max. : 0.59000 Max. : 1.4450 Max. : 0.780000
## data.4685 data.4686 data.4687 data.4688
## Min. :-0.9175000 Min. :-1.5300 Min. :-1.45498 Min. :-1.20000
## 1st Qu.:-0.2375049 1st Qu.:-0.4087 1st Qu.:-0.51873 1st Qu.:-0.35500
## Median : 0.0000098 Median : 0.0400 Median : 0.01502 Median : 0.00500
## Mean :-0.0385015 Mean : 0.0290 Mean : 0.07202 Mean : 0.03775
## 3rd Qu.: 0.1800000 3rd Qu.: 0.3950 3rd Qu.: 0.43502 3rd Qu.: 0.48500
## Max. : 0.7025000 Max. : 1.1200 Max. : 1.83002 Max. : 1.22002
## data.4689 data.4690 data.4691 data.4692
## Min. :-1.35000 Min. :-2.5100 Min. :-1.24500 Min. :-1.12000
## 1st Qu.:-0.49500 1st Qu.:-0.5600 1st Qu.:-0.45250 1st Qu.:-0.24250
## Median :-0.05500 Median :-0.0150 Median :-0.05500 Median : 0.00500
## Mean :-0.05375 Mean :-0.1593 Mean :-0.02325 Mean : 0.07862
## 3rd Qu.: 0.50751 3rd Qu.: 0.5025 3rd Qu.: 0.30501 3rd Qu.: 0.44999
## Max. : 0.98000 Max. : 1.3200 Max. : 1.79500 Max. : 1.32000
## data.4693 data.4694 data.4695 data.4696
## Min. :-0.8500 Min. :-1.015000 Min. :-2.20e+00 Min. :-1.3000
## 1st Qu.:-0.1350 1st Qu.:-0.240000 1st Qu.:-5.40e-01 1st Qu.:-0.3725
## Median : 0.0700 Median : 0.025000 Median : 2.55e-01 Median : 0.2225
## Mean : 0.0995 Mean : 0.004498 Mean :-1.50e-06 Mean : 0.1305
## 3rd Qu.: 0.3800 3rd Qu.: 0.247500 3rd Qu.: 8.65e-01 3rd Qu.: 0.5175
## Max. : 1.0800 Max. : 0.740000 Max. : 1.74e+00 Max. : 1.6300
## data.4697 data.4698 data.4699 data.4700
## Min. :-1.5550 Min. :-1.5900 Min. :-2.980 Min. :-2.955
## 1st Qu.:-0.2675 1st Qu.:-0.1375 1st Qu.:-0.610 1st Qu.:-0.340
## Median : 0.0075 Median : 0.1850 Median : 0.165 Median : 0.300
## Mean : 0.1362 Mean : 0.7987 Mean : 1.297 Mean : 1.768
## 3rd Qu.: 0.6875 3rd Qu.: 2.0675 3rd Qu.: 3.962 3rd Qu.: 4.850
## Max. : 1.5900 Max. : 3.8150 Max. : 5.585 Max. : 6.935
## data.4701 data.4702 data.4703 data.4704
## Min. :-3.120 Min. :-0.96998 Min. :-1.47002 Min. :-1.43001
## 1st Qu.:-1.802 1st Qu.:-0.28248 1st Qu.:-0.61500 1st Qu.:-0.40501
## Median : 0.325 Median : 0.04502 Median :-0.01501 Median : 0.00000
## Mean : 1.601 Mean : 0.15777 Mean : 0.06512 Mean : 0.01437
## 3rd Qu.: 4.928 3rd Qu.: 0.60252 3rd Qu.: 0.30501 3rd Qu.: 0.00000
## Max. : 7.105 Max. : 1.35002 Max. : 6.04000 Max. : 5.12999
## data.4705 data.4706 data.4707 data.4708
## Min. :-1.2450 Min. :-1.3950 Min. :-1.5400 Min. :-1.8300
## 1st Qu.:-0.3400 1st Qu.:-0.4375 1st Qu.:-0.6650 1st Qu.:-0.6375
## Median : 0.0000 Median : 0.0000 Median :-0.0250 Median : 0.0000
## Mean : 0.2294 Mean : 0.4789 Mean : 0.3022 Mean : 0.2179
## 3rd Qu.: 0.4125 3rd Qu.: 0.7950 3rd Qu.: 0.9800 3rd Qu.: 0.8226
## Max. : 3.5900 Max. : 4.6250 Max. : 3.5100 Max. : 3.5700
## data.4709 data.4710 data.4711 data.4712
## Min. :-1.460020 Min. :-1.61996 Min. :-0.5500 Min. :-0.69000
## 1st Qu.:-0.205000 1st Qu.:-0.77498 1st Qu.:-0.1325 1st Qu.:-0.14250
## Median : 0.034990 Median :-0.02000 Median : 0.0000 Median : 0.06000
## Mean : 0.004999 Mean : 0.08277 Mean : 0.0470 Mean : 0.04725
## 3rd Qu.: 0.212500 3rd Qu.: 0.56002 3rd Qu.: 0.2425 3rd Qu.: 0.25250
## Max. : 1.100000 Max. : 2.61502 Max. : 1.0400 Max. : 0.89000
## data.4713 data.4714 data.4715 data.4716
## Min. :-1.94500 Min. :-1.25500 Min. :-2.7350 Min. :-3.7250
## 1st Qu.:-0.26500 1st Qu.:-0.36502 1st Qu.:-1.1875 1st Qu.:-0.8325
## Median :-0.03000 Median :-0.07500 Median : 0.0000 Median : 0.0000
## Mean :-0.02388 Mean :-0.06288 Mean : 0.3332 Mean : 0.2323
## 3rd Qu.: 0.12750 3rd Qu.: 0.19000 3rd Qu.: 1.7450 3rd Qu.: 1.4450
## Max. : 3.18500 Max. : 1.44500 Max. : 3.6150 Max. : 4.0350
## data.4717 data.4718 data.4719 data.4720
## Min. :-3.47500 Min. :-0.81500 Min. :-2.0900 Min. :-2.0800
## 1st Qu.:-0.66002 1st Qu.:-0.34503 1st Qu.:-0.8475 1st Qu.:-1.0425
## Median : 0.00000 Median :-0.02251 Median : 0.0000 Median : 0.0000
## Mean :-0.02712 Mean : 0.05737 Mean : 0.1602 Mean : 0.2899
## 3rd Qu.: 0.01625 3rd Qu.: 0.40125 3rd Qu.: 0.7350 3rd Qu.: 1.4600
## Max. : 3.27500 Max. : 1.48500 Max. : 3.1300 Max. : 3.4800
## data.4721 data.4722 data.4723 data.4724
## Min. :-1.8450 Min. :-1.2500 Min. :-0.59000 Min. :-1.02000
## 1st Qu.:-0.5050 1st Qu.:-0.2600 1st Qu.:-0.24751 1st Qu.:-0.21250
## Median : 0.1925 Median :-0.0200 Median : 0.02750 Median : 0.08499
## Mean : 0.3077 Mean :-0.0580 Mean : 0.08775 Mean : 0.09137
## 3rd Qu.: 1.0150 3rd Qu.: 0.2525 3rd Qu.: 0.36250 3rd Qu.: 0.31500
## Max. : 2.5550 Max. : 0.7300 Max. : 1.02000 Max. : 1.07000
## data.4725 data.4726 data.4727 data.4728
## Min. :-0.99998 Min. :-1.4800 Min. :-1.3500 Min. :-0.74001
## 1st Qu.:-0.17498 1st Qu.:-0.2125 1st Qu.:-0.4475 1st Qu.:-0.11001
## Median : 0.17002 Median : 0.3300 Median : 0.0800 Median : 0.05499
## Mean : 0.07852 Mean : 0.2832 Mean : 0.1442 Mean : 0.06224
## 3rd Qu.: 0.34002 3rd Qu.: 0.7150 3rd Qu.: 0.6100 3rd Qu.: 0.27498
## Max. : 0.83002 Max. : 1.5500 Max. : 2.0950 Max. : 0.90999
## data.4729 data.4730 data.4731 data.4732
## Min. :-0.95499 Min. :-0.75998 Min. :-0.65001 Min. :-1.7200
## 1st Qu.:-0.27749 1st Qu.:-0.29500 1st Qu.:-0.24001 1st Qu.:-0.2725
## Median : 0.01750 Median : 0.07499 Median : 0.06499 Median : 0.1650
## Mean : 0.04051 Mean : 0.06500 Mean : 0.05311 Mean : 0.1263
## 3rd Qu.: 0.37751 3rd Qu.: 0.28500 3rd Qu.: 0.28499 3rd Qu.: 0.5450
## Max. : 1.17001 Max. : 1.28000 Max. : 1.10999 Max. : 1.9100
## data.4733 data.4734 data.4735 data.4736
## Min. :-1.43502 Min. :-1.79501 Min. :-0.65998 Min. :-1.76002
## 1st Qu.:-0.48000 1st Qu.:-0.33501 1st Qu.:-0.17748 1st Qu.:-0.15502
## Median : 0.07499 Median : 0.20998 Median : 0.08001 Median : 0.09498
## Mean : 0.52762 Mean : 0.08949 Mean : 0.06739 Mean : 0.02523
## 3rd Qu.: 1.33625 3rd Qu.: 0.43496 3rd Qu.: 0.27502 3rd Qu.: 0.30248
## Max. : 3.99500 Max. : 1.59999 Max. : 1.04002 Max. : 0.68998
## data.4737 data.4738 data.4739 data.4740
## Min. :-1.65000 Min. :-0.8950 Min. :-0.7100 Min. :-0.800019
## 1st Qu.:-0.15500 1st Qu.:-0.4475 1st Qu.:-0.1850 1st Qu.:-0.302510
## Median : 0.11500 Median :-0.0825 Median : 0.0600 Median : 0.010000
## Mean : 0.04025 Mean : 0.0110 Mean : 0.1235 Mean :-0.007001
## 3rd Qu.: 0.25125 3rd Qu.: 0.2575 3rd Qu.: 0.4487 3rd Qu.: 0.210000
## Max. : 0.88000 Max. : 3.0950 Max. : 1.3300 Max. : 0.980000
## data.4741 data.4742 data.4743 data.4744
## Min. :-1.06500 Min. :-1.04499 Min. :-0.800 Min. :-1.0100
## 1st Qu.:-0.19000 1st Qu.:-0.32749 1st Qu.:-0.100 1st Qu.:-0.1825
## Median : 0.17000 Median : 0.13499 Median : 0.070 Median : 0.1200
## Mean : 0.09425 Mean : 0.08988 Mean : 0.045 Mean : 0.1290
## 3rd Qu.: 0.54500 3rd Qu.: 0.52001 3rd Qu.: 0.200 3rd Qu.: 0.4725
## Max. : 1.51000 Max. : 1.05501 Max. : 0.870 Max. : 1.0700
## data.4745 data.4746 data.4747 data.4748
## Min. :-0.90002 Min. :-0.49000 Min. :-0.9099902 Min. :-1.13000
## 1st Qu.:-0.27252 1st Qu.:-0.30000 1st Qu.:-0.1899902 1st Qu.:-0.25000
## Median : 0.04997 Median :-0.00501 Median : 0.0000049 Median :-0.04003
## Mean : 0.16360 Mean : 0.01875 Mean : 0.0725078 Mean :-0.05750
## 3rd Qu.: 0.59498 3rd Qu.: 0.22250 3rd Qu.: 0.4250098 3rd Qu.: 0.11000
## Max. : 1.68998 Max. : 1.05000 Max. : 1.1900100 Max. : 0.78000
## data.4749 data.4750 data.4751 data.4752
## Min. :-1.2600 Min. :-0.58750 Min. :-0.8200 Min. :-0.7050
## 1st Qu.:-0.2725 1st Qu.:-0.11750 1st Qu.:-0.2588 1st Qu.:-0.3100
## Median :-0.0500 Median :-0.02751 Median :-0.0600 Median :-0.0150
## Mean :-0.0140 Mean : 0.05675 Mean :-0.0210 Mean : 0.0175
## 3rd Qu.: 0.2275 3rd Qu.: 0.24250 3rd Qu.: 0.2425 3rd Qu.: 0.3100
## Max. : 0.8800 Max. : 0.87250 Max. : 0.8100 Max. : 1.0350
## data.4753 data.4754 data.4755 data.4756
## Min. :-0.49002 Min. :-0.7300 Min. :-0.47000 Min. :-0.520010
## 1st Qu.:-0.19752 1st Qu.:-0.2825 1st Qu.:-0.23001 1st Qu.:-0.215024
## Median :-0.01502 Median :-0.0500 Median :-0.03001 Median :-0.025010
## Mean : 0.08748 Mean : 0.0375 Mean : 0.02462 Mean :-0.009886
## 3rd Qu.: 0.35999 3rd Qu.: 0.3875 3rd Qu.: 0.28499 3rd Qu.: 0.159976
## Max. : 1.04998 Max. : 0.9700 Max. : 0.71000 Max. : 0.929990
## data.4757 data.4758 data.4759 data.4760
## Min. :-0.850000 Min. :-0.93000 Min. :-3.064990 Min. :-1.0200
## 1st Qu.:-0.227495 1st Qu.:-0.28250 1st Qu.:-1.654990 1st Qu.:-0.3525
## Median :-0.010010 Median : 0.00000 Median : 0.080010 Median :-0.0250
## Mean :-0.003252 Mean :-0.03863 Mean : 0.005008 Mean :-0.0600
## 3rd Qu.: 0.275000 3rd Qu.: 0.14500 3rd Qu.: 0.940010 3rd Qu.: 0.2700
## Max. : 0.700000 Max. : 1.04002 Max. : 2.765029 Max. : 1.0450
## data.4761 data.4762 data.4763 data.4764
## Min. :-0.99999 Min. :-1.135 Min. :-0.8350 Min. :-1.000000
## 1st Qu.:-0.26499 1st Qu.:-0.395 1st Qu.:-0.3950 1st Qu.:-0.105000
## Median :-0.04999 Median : 0.020 Median : 0.0900 Median : 0.000000
## Mean :-0.08024 Mean :-0.061 Mean :-0.0305 Mean : 0.001373
## 3rd Qu.: 0.12126 3rd Qu.: 0.235 3rd Qu.: 0.3175 3rd Qu.: 0.174971
## Max. : 1.22003 Max. : 0.875 Max. : 0.7050 Max. : 0.769980
## data.4765 data.4766 data.4767 data.4768
## Min. :-1.330000 Min. :-1.73498 Min. :-0.839961 Min. :-1.6900
## 1st Qu.:-0.307505 1st Qu.:-0.20749 1st Qu.:-0.267461 1st Qu.:-0.3175
## Median : 0.010000 Median : 0.03500 Median : 0.005039 Median :-0.0625
## Mean :-0.009251 Mean :-0.04575 Mean :-0.033462 Mean :-0.1085
## 3rd Qu.: 0.175000 3rd Qu.: 0.19249 3rd Qu.: 0.202529 3rd Qu.: 0.1625
## Max. : 1.540000 Max. : 0.63500 Max. : 0.600039 Max. : 0.6100
## data.4769 data.4770 data.4771 data.4772
## Min. :-0.96998 Min. :-2.9450 Min. :-1.11999 Min. :-1.2150
## 1st Qu.:-0.37250 1st Qu.:-0.3075 1st Qu.:-0.30251 1st Qu.:-0.4725
## Median :-0.14001 Median :-0.0100 Median :-0.03000 Median :-0.0200
## Mean :-0.06475 Mean :-0.2046 Mean :-0.03524 Mean :-0.0435
## 3rd Qu.: 0.21000 3rd Qu.: 0.1875 3rd Qu.: 0.30001 3rd Qu.: 0.2925
## Max. : 1.52000 Max. : 0.9150 Max. : 1.07001 Max. : 1.1150
## data.4773 data.4774 data.4775 data.4776
## Min. :-0.50502 Min. :-0.58998 Min. :-0.910000 Min. :-0.52998
## 1st Qu.:-0.15750 1st Qu.:-0.24248 1st Qu.:-0.275000 1st Qu.:-0.11250
## Median : 0.07501 Median : 0.11002 Median :-0.020000 Median : 0.00000
## Mean : 0.06250 Mean : 0.07177 Mean :-0.004126 Mean :-0.01963
## 3rd Qu.: 0.19497 3rd Qu.: 0.36752 3rd Qu.: 0.320000 3rd Qu.: 0.13250
## Max. : 0.97500 Max. : 0.59002 Max. : 1.069980 Max. : 0.50000
## data.4777 data.4778 data.4779 data.4780
## Min. :-0.64500 Min. :-0.5250 Min. :-0.879961 Min. :-2.4100
## 1st Qu.:-0.15750 1st Qu.:-0.1875 1st Qu.:-0.297461 1st Qu.:-0.4150
## Median : 0.01000 Median :-0.0050 Median : 0.000000 Median : 0.0000
## Mean : 0.01412 Mean : 0.0795 Mean : 0.009286 Mean :-0.1068
## 3rd Qu.: 0.20500 3rd Qu.: 0.2775 3rd Qu.: 0.250039 3rd Qu.: 0.2000
## Max. : 1.03000 Max. : 1.2450 Max. : 1.030019 Max. : 0.9600
## data.4781 data.4782 data.4783 data.4784
## Min. :-0.8100 Min. :-0.93002 Min. :-1.5750 Min. :-0.5900098
## 1st Qu.:-0.2175 1st Qu.:-0.33751 1st Qu.:-0.3450 1st Qu.:-0.2449902
## Median : 0.0300 Median : 0.00000 Median :-0.0300 Median : 0.0000049
## Mean : 0.0380 Mean :-0.02988 Mean : 0.0500 Mean : 0.0771331
## 3rd Qu.: 0.2250 3rd Qu.: 0.30000 3rd Qu.: 0.4938 3rd Qu.: 0.3000098
## Max. : 1.1700 Max. : 0.62000 Max. : 1.3150 Max. : 0.8400098
## data.4785 data.4786 data.4787 data.4788
## Min. :-0.96001 Min. :-1.03998 Min. :-0.86000 Min. :-1.089981
## 1st Qu.:-0.34001 1st Qu.:-0.20248 1st Qu.:-0.29000 1st Qu.:-0.214980
## Median :-0.12001 Median : 0.00000 Median : 0.00500 Median : 0.070010
## Mean :-0.03951 Mean :-0.02898 Mean :-0.04725 Mean :-0.002233
## 3rd Qu.: 0.25749 3rd Qu.: 0.18750 3rd Qu.: 0.20499 3rd Qu.: 0.233769
## Max. : 0.85001 Max. : 1.19004 Max. : 0.80500 Max. : 0.790019
## data.4789 data.4790 data.4791 data.4792
## Min. :-1.310 Min. :-1.08002 Min. :-1.18002 Min. :-1.435000
## 1st Qu.:-0.265 1st Qu.:-0.25750 1st Qu.:-0.24000 1st Qu.:-0.210000
## Median :-0.045 Median : 0.00000 Median :-0.03000 Median : 0.000000
## Mean :-0.049 Mean : 0.02987 Mean :-0.03875 Mean :-0.009376
## 3rd Qu.: 0.130 3rd Qu.: 0.30500 3rd Qu.: 0.20875 3rd Qu.: 0.260000
## Max. : 0.940 Max. : 1.39000 Max. : 0.84000 Max. : 1.200000
## data.4793 data.4794 data.4795 data.4796
## Min. :-0.78501 Min. :-1.37000 Min. :-1.54000 Min. :-1.0400
## 1st Qu.:-0.10251 1st Qu.:-0.23500 1st Qu.:-0.40250 1st Qu.:-0.3025
## Median : 0.09249 Median : 0.01999 Median : 0.00000 Median :-0.0175
## Mean : 0.08649 Mean : 0.07262 Mean :-0.02075 Mean :-0.1188
## 3rd Qu.: 0.35749 3rd Qu.: 0.47250 3rd Qu.: 0.34500 3rd Qu.: 0.1400
## Max. : 0.81499 Max. : 1.79000 Max. : 1.26000 Max. : 1.1800
## data.4797 data.4798 data.4799 data.4800
## Min. :-1.19500 Min. :-0.58998 Min. :-0.78000 Min. :-0.7500
## 1st Qu.:-0.30750 1st Qu.:-0.18499 1st Qu.:-0.14750 1st Qu.:-0.2700
## Median :-0.07501 Median : 0.01000 Median : 0.04999 Median : 0.0850
## Mean :-0.04650 Mean : 0.03987 Mean : 0.13900 Mean : 0.1005
## 3rd Qu.: 0.27125 3rd Qu.: 0.21249 3rd Qu.: 0.49500 3rd Qu.: 0.4075
## Max. : 0.97500 Max. : 1.29000 Max. : 1.20500 Max. : 1.0600
## data.4801 data.4802 data.4803 data.4804
## Min. :-0.7950 Min. :-0.6700 Min. :-0.8400 Min. :-1.81998
## 1st Qu.:-0.3525 1st Qu.:-0.1163 1st Qu.:-0.1525 1st Qu.:-0.15498
## Median : 0.0175 Median : 0.1050 Median : 0.1200 Median : 0.03002
## Mean :-0.0590 Mean : 0.1202 Mean : 0.1341 Mean : 0.59589
## 3rd Qu.: 0.1625 3rd Qu.: 0.2525 3rd Qu.: 0.3225 3rd Qu.: 1.74002
## Max. : 0.8850 Max. : 1.4450 Max. : 1.0200 Max. : 3.10002
## data.4805 data.4806 data.4807 data.4808
## Min. :-2.1000 Min. :-0.71750 Min. :-1.010000 Min. :-2.8100
## 1st Qu.:-0.4650 1st Qu.:-0.23250 1st Qu.:-0.352500 1st Qu.:-0.2025
## Median :-0.0550 Median : 0.02250 Median : 0.070010 Median : 0.0550
## Mean :-0.0205 Mean : 0.04975 Mean : 0.002998 Mean :-0.0590
## 3rd Qu.: 0.5125 3rd Qu.: 0.20250 3rd Qu.: 0.291245 3rd Qu.: 0.4400
## Max. : 2.2100 Max. : 1.44250 Max. : 1.120000 Max. : 1.1400
## data.4809 data.4810 data.4811 data.4812
## Min. :-1.11500 Min. :-0.88000 Min. :-4.4700 Min. :-1.0300
## 1st Qu.:-0.14500 1st Qu.:-0.39000 1st Qu.:-0.6925 1st Qu.:-0.3025
## Median : 0.00000 Median :-0.02000 Median :-0.0450 Median : 0.0600
## Mean : 0.07775 Mean : 0.01225 Mean :-0.1143 Mean :-0.0390
## 3rd Qu.: 0.36999 3rd Qu.: 0.38500 3rd Qu.: 0.4375 3rd Qu.: 0.2637
## Max. : 1.34000 Max. : 1.13500 Max. : 3.7900 Max. : 0.5500
## data.4813 data.4814 data.4815 data.4816
## Min. :-1.1900 Min. :-1.0600 Min. :-1.1800 Min. :-1.01999
## 1st Qu.:-0.2425 1st Qu.:-0.2450 1st Qu.:-0.2575 1st Qu.:-0.19249
## Median : 0.0450 Median :-0.1025 Median : 0.0000 Median :-0.02000
## Mean : 0.1094 Mean : 0.0575 Mean :-0.0455 Mean :-0.08724
## 3rd Qu.: 0.5550 3rd Qu.: 0.4750 3rd Qu.: 0.2125 3rd Qu.: 0.05000
## Max. : 1.6700 Max. : 1.4000 Max. : 0.9400 Max. : 0.55001
## data.4817 data.4818 data.4819 data.4820
## Min. :-1.79498 Min. :-1.80998 Min. :-0.8899805 Min. :-1.9350
## 1st Qu.:-0.48503 1st Qu.:-0.21000 1st Qu.:-0.1900146 1st Qu.:-0.5450
## Median :-0.00250 Median : 0.00500 Median :-0.0000098 Median : 0.0000
## Mean :-0.06288 Mean :-0.09588 Mean :-0.0133765 Mean : 0.0230
## 3rd Qu.: 0.30500 3rd Qu.: 0.10000 3rd Qu.: 0.2225000 3rd Qu.: 0.6075
## Max. : 1.35498 Max. : 0.66000 Max. : 1.2000000 Max. : 1.7450
## data.4821 data.4822 data.4823 data.4824
## Min. :-2.15000 Min. :-0.770000 Min. :-1.2400 Min. :-1.2000
## 1st Qu.:-0.21250 1st Qu.:-0.442500 1st Qu.:-0.1325 1st Qu.:-0.4875
## Median : 0.00000 Median : 0.044990 Median : 0.0000 Median : 0.0500
## Mean :-0.05075 Mean :-0.006377 Mean : 0.2456 Mean : 0.0370
## 3rd Qu.: 0.27249 3rd Qu.: 0.262495 3rd Qu.: 0.5400 3rd Qu.: 0.4725
## Max. : 0.81000 Max. : 1.250000 Max. : 2.4100 Max. : 1.6600
## data.4825 data.4826 data.4827 data.4828
## Min. :-1.2200 Min. :-0.7700 Min. :-0.9500 Min. :-1.22000
## 1st Qu.:-0.3300 1st Qu.:-0.3175 1st Qu.:-0.2825 1st Qu.:-0.28625
## Median : 0.1400 Median : 0.0550 Median : 0.0000 Median : 0.00498
## Mean : 0.1464 Mean : 0.0315 Mean : 0.0545 Mean : 0.02950
## 3rd Qu.: 0.5275 3rd Qu.: 0.4650 3rd Qu.: 0.3450 3rd Qu.: 0.36000
## Max. : 1.7400 Max. : 0.7300 Max. : 2.0200 Max. : 2.06000
## data.4829 data.4830 data.4831 data.4832
## Min. :-0.87000 Min. :-0.6750 Min. :-0.3700 Min. :-0.71498
## 1st Qu.:-0.20250 1st Qu.:-0.2250 1st Qu.:-0.1350 1st Qu.:-0.30750
## Median : 0.00000 Median : 0.0000 Median : 0.0000 Median :-0.01998
## Mean : 0.06287 Mean : 0.2097 Mean : 0.1386 Mean : 0.05164
## 3rd Qu.: 0.22750 3rd Qu.: 0.4575 3rd Qu.: 0.3825 3rd Qu.: 0.36752
## Max. : 1.42000 Max. : 2.6350 Max. : 1.9400 Max. : 1.83502
## data.4833 data.4834 data.4835 data.4836
## Min. :-0.5350 Min. :-1.34002 Min. :-1.17500 Min. :-0.88249
## 1st Qu.:-0.1875 1st Qu.:-0.47000 1st Qu.:-0.25750 1st Qu.:-0.37001
## Median : 0.0025 Median :-0.04999 Median :-0.01000 Median : 0.06749
## Mean : 0.1444 Mean : 0.01362 Mean : 0.02162 Mean : 0.04049
## 3rd Qu.: 0.3475 3rd Qu.: 0.36122 3rd Qu.: 0.14250 3rd Qu.: 0.27999
## Max. : 2.1550 Max. : 2.52000 Max. : 2.24500 Max. : 1.05749
## data.4837 data.4838 data.4839 data.4840
## Min. :-1.3350000 Min. :-1.14498 Min. :-1.24998 Min. :-0.64996
## 1st Qu.:-0.2849854 1st Qu.:-0.29498 1st Qu.:-0.49500 1st Qu.:-0.20996
## Median : 0.0000000 Median : 0.00000 Median : 0.12000 Median : 0.01002
## Mean :-0.0002515 Mean : 0.04002 Mean : 0.05412 Mean : 0.12816
## 3rd Qu.: 0.3700000 3rd Qu.: 0.41877 3rd Qu.: 0.58750 3rd Qu.: 0.45002
## Max. : 1.2450000 Max. : 1.52502 Max. : 1.19998 Max. : 1.81004
## data.4841 data.4842 data.4843 data.4844
## Min. :-1.150000 Min. :-1.0500 Min. :-2.5100 Min. :-3.45002
## 1st Qu.:-0.327500 1st Qu.:-0.3550 1st Qu.:-0.6825 1st Qu.:-0.49250
## Median : 0.000000 Median :-0.0400 Median : 0.0300 Median : 0.07500
## Mean :-0.001002 Mean :-0.0730 Mean :-0.0765 Mean :-0.09688
## 3rd Qu.: 0.364995 3rd Qu.: 0.2175 3rd Qu.: 0.3750 3rd Qu.: 0.43500
## Max. : 0.790000 Max. : 0.9600 Max. : 1.5200 Max. : 1.05998
## data.4845 data.4846 data.4847 data.4848
## Min. :-5.71500 Min. :-1.2700 Min. :-1.12996 Min. :-1.05498
## 1st Qu.:-0.48248 1st Qu.:-0.3475 1st Qu.:-0.37498 1st Qu.:-0.32998
## Median : 0.07502 Median : 0.1250 Median : 0.09502 Median : 0.02500
## Mean :-0.38136 Mean : 0.1906 Mean : 0.17752 Mean : 0.05977
## 3rd Qu.: 0.49252 3rd Qu.: 0.8250 3rd Qu.: 0.60252 3rd Qu.: 0.46250
## Max. : 2.18502 Max. : 2.0400 Max. : 2.28002 Max. : 1.39502
## data.4849 data.4850 data.4851 data.4852
## Min. :-1.4400 Min. :-1.06000 Min. :-1.0250 Min. :-1.550000
## 1st Qu.:-0.2025 1st Qu.:-0.29250 1st Qu.:-0.3400 1st Qu.:-0.277500
## Median : 0.2225 Median : 0.03750 Median :-0.0700 Median : 0.060000
## Mean : 0.1907 Mean : 0.04787 Mean : 0.0965 Mean : 0.008748
## 3rd Qu.: 0.6150 3rd Qu.: 0.37250 3rd Qu.: 0.5100 3rd Qu.: 0.342500
## Max. : 1.6000 Max. : 1.08000 Max. : 1.7850 Max. : 1.480000
## data.4853 data.4854 data.4855 data.4856
## Min. :-0.7700 Min. :-0.88500 Min. :-1.30998 Min. :-1.730000
## 1st Qu.:-0.2850 1st Qu.:-0.22750 1st Qu.:-0.41498 1st Qu.:-0.357515
## Median : 0.0000 Median : 0.03000 Median :-0.03498 Median :-0.070000
## Mean : 0.1005 Mean : 0.08775 Mean :-0.04373 Mean :-0.008751
## 3rd Qu.: 0.4125 3rd Qu.: 0.38499 3rd Qu.: 0.27002 3rd Qu.: 0.422495
## Max. : 1.3300 Max. : 1.04500 Max. : 1.28002 Max. : 0.920000
## data.4857 data.4858 data.4859 data.4860
## Min. :-1.9900 Min. :-2.070 Min. :-2.0150 Min. :-1.72500
## 1st Qu.:-0.6000 1st Qu.:-0.500 1st Qu.:-0.4500 1st Qu.:-0.27751
## Median :-0.2350 Median :-0.085 Median :-0.0400 Median : 0.00000
## Mean :-0.2165 Mean :-0.144 Mean :-0.1648 Mean :-0.09425
## 3rd Qu.: 0.2400 3rd Qu.: 0.375 3rd Qu.: 0.3625 3rd Qu.: 0.28500
## Max. : 0.9300 Max. : 0.860 Max. : 0.8350 Max. : 0.92500
## data.4861 data.4862 data.4863 data.4864
## Min. :-1.5300 Min. :-0.88498 Min. :-0.97503 Min. :-1.1150
## 1st Qu.:-0.3563 1st Qu.:-0.27248 1st Qu.:-0.32001 1st Qu.:-0.4200
## Median :-0.0050 Median : 0.01002 Median :-0.03000 Median : 0.0000
## Mean :-0.0625 Mean :-0.03198 Mean : 0.03124 Mean :-0.0505
## 3rd Qu.: 0.2525 3rd Qu.: 0.19627 3rd Qu.: 0.31874 3rd Qu.: 0.3675
## Max. : 0.8700 Max. : 0.74500 Max. : 1.20497 Max. : 0.8050
## data.4865 data.4866 data.4867 data.4868
## Min. :-1.45498 Min. :-1.2650 Min. :-0.9300 Min. :-0.6050
## 1st Qu.:-0.13748 1st Qu.:-0.1975 1st Qu.:-0.2175 1st Qu.:-0.1925
## Median : 0.06501 Median : 0.1100 Median :-0.0200 Median : 0.0350
## Mean : 0.04477 Mean : 0.0785 Mean :-0.0270 Mean : 0.0705
## 3rd Qu.: 0.28002 3rd Qu.: 0.4125 3rd Qu.: 0.2450 3rd Qu.: 0.2800
## Max. : 1.33502 Max. : 1.2150 Max. : 0.7900 Max. : 1.1900
## data.4869 data.4870 data.4871 data.4872
## Min. :-0.930000 Min. :-1.33500 Min. :-1.34496 Min. :-1.47000
## 1st Qu.:-0.331250 1st Qu.:-0.34750 1st Qu.:-0.42498 1st Qu.:-0.48625
## Median : 0.005000 Median :-0.00500 Median :-0.04498 Median :-0.03001
## Mean : 0.001749 Mean : 0.06175 Mean :-0.04548 Mean :-0.04663
## 3rd Qu.: 0.150000 3rd Qu.: 0.38500 3rd Qu.: 0.25752 3rd Qu.: 0.35500
## Max. : 1.040000 Max. : 1.35500 Max. : 1.20502 Max. : 1.18000
## data.4873 data.4874 data.4875 data.4876
## Min. :-0.89500 Min. :-0.95000 Min. :-1.30000 Min. :-1.4150
## 1st Qu.:-0.39249 1st Qu.:-0.39503 1st Qu.:-0.33500 1st Qu.:-0.2712
## Median :-0.18000 Median :-0.03500 Median :-0.09500 Median : 0.0500
## Mean :-0.08663 Mean :-0.08688 Mean : 0.05625 Mean : 0.0470
## 3rd Qu.: 0.14750 3rd Qu.: 0.18000 3rd Qu.: 0.68250 3rd Qu.: 0.4825
## Max. : 0.89498 Max. : 0.99998 Max. : 1.27000 Max. : 1.2100
## data.4877 data.4878 data.4879 data.4880
## Min. :-1.26000 Min. :-0.740020 Min. :-1.21000 Min. :-0.97000
## 1st Qu.:-0.10500 1st Qu.:-0.220020 1st Qu.:-0.26250 1st Qu.:-0.46750
## Median : 0.05499 Median :-0.005019 Median :-0.05000 Median :-0.00500
## Mean : 0.10750 Mean : 0.047229 Mean :-0.04338 Mean :-0.01275
## 3rd Qu.: 0.49000 3rd Qu.: 0.227481 3rd Qu.: 0.15500 3rd Qu.: 0.33250
## Max. : 1.44000 Max. : 1.339980 Max. : 1.52000 Max. : 0.95000
## data.4881 data.4882 data.4883 data.4884
## Min. :-1.89000 Min. :-2.04000 Min. :-2.05000 Min. :-1.2950
## 1st Qu.:-0.42500 1st Qu.:-0.27500 1st Qu.:-0.27250 1st Qu.:-0.2600
## Median : 0.06999 Median : 0.03000 Median : 0.07999 Median :-0.0025
## Mean :-0.07450 Mean :-0.04025 Mean : 0.18725 Mean : 0.1037
## 3rd Qu.: 0.21749 3rd Qu.: 0.34250 3rd Qu.: 0.75751 3rd Qu.: 0.4675
## Max. : 1.16500 Max. : 1.08000 Max. : 1.66000 Max. : 1.4650
## data.4885 data.4886 data.4887 data.4888
## Min. :-1.099990 Min. :-0.86999 Min. :-1.230 Min. :-1.0000
## 1st Qu.:-0.296240 1st Qu.:-0.11249 1st Qu.:-0.270 1st Qu.:-0.3425
## Median :-0.039990 Median : 0.01000 Median :-0.010 Median : 0.0000
## Mean :-0.001742 Mean : 0.04326 Mean :-0.036 Mean : 0.0990
## 3rd Qu.: 0.255010 3rd Qu.: 0.28376 3rd Qu.: 0.190 3rd Qu.: 0.4850
## Max. : 1.050010 Max. : 0.84001 Max. : 0.910 Max. : 1.4200
## data.4889 data.4890 data.4891 data.4892
## Min. :-1.880000 Min. :-1.06000 Min. :-0.74750 Min. :-0.69000
## 1st Qu.:-0.410029 1st Qu.:-0.20500 1st Qu.:-0.22000 1st Qu.:-0.18250
## Median : 0.235000 Median : 0.00000 Median :-0.00125 Median :-0.01500
## Mean :-0.005876 Mean : 0.02212 Mean : 0.06050 Mean : 0.01737
## 3rd Qu.: 0.635000 3rd Qu.: 0.23250 3rd Qu.: 0.31250 3rd Qu.: 0.28247
## Max. : 1.820000 Max. : 0.96500 Max. : 1.13250 Max. : 0.61000
## data.4893 data.4894 data.4895 data.4896
## Min. :-1.32000 Min. :-1.27000 Min. :-1.120 Min. :-0.8650
## 1st Qu.:-0.43750 1st Qu.:-0.37250 1st Qu.:-0.190 1st Qu.:-0.2000
## Median :-0.07500 Median : 0.01500 Median : 0.035 Median : 0.0450
## Mean :-0.08525 Mean : 0.01275 Mean : 0.049 Mean : 0.0585
## 3rd Qu.: 0.33999 3rd Qu.: 0.35750 3rd Qu.: 0.345 3rd Qu.: 0.3650
## Max. : 0.78000 Max. : 0.95000 Max. : 1.130 Max. : 0.9050
## data.4897 data.4898 data.4899 data.4900
## Min. :-2.1500 Min. :-1.63001 Min. :-1.065000 Min. :-0.41000
## 1st Qu.:-0.4125 1st Qu.:-0.63751 1st Qu.:-0.229985 1st Qu.:-0.15250
## Median : 0.0050 Median :-0.01501 Median :-0.010000 Median :-0.03499
## Mean :-0.0365 Mean :-0.16164 Mean :-0.006626 Mean : 0.01875
## 3rd Qu.: 0.2700 3rd Qu.: 0.32500 3rd Qu.: 0.196240 3rd Qu.: 0.13000
## Max. : 1.0800 Max. : 1.14997 Max. : 1.145000 Max. : 0.89998
## data.4901 data.4902 data.4903 data.4904
## Min. :-1.40996 Min. :-1.05501 Min. :-0.92994 Min. :-1.0400
## 1st Qu.:-0.69746 1st Qu.:-0.29250 1st Qu.:-0.40246 1st Qu.:-0.5350
## Median :-0.05996 Median :-0.04503 Median :-0.01998 Median :-0.1250
## Mean :-0.13821 Mean : 0.02099 Mean : 0.01104 Mean :-0.1613
## 3rd Qu.: 0.28004 3rd Qu.: 0.45499 3rd Qu.: 0.46754 3rd Qu.: 0.2350
## Max. : 1.43004 Max. : 1.56499 Max. : 0.92004 Max. : 0.6400
## data.4905 data.4906 data.4907 data.4908
## Min. :-1.245020 Min. :-1.2150 Min. :-0.689961 Min. :-0.750019
## 1st Qu.:-0.300000 1st Qu.:-0.2425 1st Qu.:-0.192510 1st Qu.:-0.197500
## Median : 0.082500 Median : 0.1200 Median : 0.012519 Median : 0.000000
## Mean :-0.005751 Mean : 0.0480 Mean : 0.002018 Mean : 0.004248
## 3rd Qu.: 0.305000 3rd Qu.: 0.3750 3rd Qu.: 0.247520 3rd Qu.: 0.132485
## Max. : 0.695000 Max. : 0.9350 Max. : 0.780019 Max. : 0.770000
## data.4909 data.4910 data.4911 data.4912
## Min. :-1.06002 Min. :-1.04498 Min. :-1.6900 Min. :-0.9400
## 1st Qu.:-0.25000 1st Qu.:-0.62248 1st Qu.:-0.3150 1st Qu.:-0.2350
## Median : 0.00000 Median :-0.09498 Median : 0.0550 Median : 0.0650
## Mean :-0.03225 Mean :-0.08573 Mean : 0.0230 Mean : 0.1781
## 3rd Qu.: 0.11500 3rd Qu.: 0.37502 3rd Qu.: 0.4325 3rd Qu.: 0.5800
## Max. : 0.75000 Max. : 0.90002 Max. : 1.4000 Max. : 1.7100
## data.4913 data.4914 data.4915 data.4916
## Min. :-0.7450098 Min. :-1.39998 Min. :-1.56498 Min. :-0.56002
## 1st Qu.:-0.1800049 1st Qu.:-0.27748 1st Qu.:-0.24748 1st Qu.:-0.25250
## Median : 0.0350000 Median : 0.02003 Median : 0.00000 Median :-0.00501
## Mean : 0.0007387 Mean : 0.09852 Mean :-0.03023 Mean :-0.02688
## 3rd Qu.: 0.2374902 3rd Qu.: 0.44251 3rd Qu.: 0.18502 3rd Qu.: 0.15500
## Max. : 0.8849902 Max. : 2.05002 Max. : 1.37502 Max. : 0.62000
## data.4917 data.4918 data.4919 data.4920
## Min. :-0.87000 Min. :-1.59999 Min. :-1.3150 Min. :-1.6100
## 1st Qu.:-0.19750 1st Qu.:-0.54249 1st Qu.:-0.3750 1st Qu.:-0.1575
## Median :-0.03500 Median : 0.00000 Median : 0.0650 Median : 0.1450
## Mean : 0.01875 Mean : 0.01601 Mean : 0.1027 Mean : 0.0405
## 3rd Qu.: 0.28750 3rd Qu.: 0.34751 3rd Qu.: 0.5550 3rd Qu.: 0.3500
## Max. : 1.43500 Max. : 2.06001 Max. : 2.0100 Max. : 1.4900
## data.4921 data.4922 data.4923 data.4924
## Min. :-0.759980 Min. :-1.0900000 Min. :-1.68000 Min. :-1.61500
## 1st Qu.:-0.307485 1st Qu.:-0.2625097 1st Qu.:-0.47250 1st Qu.:-0.65500
## Median :-0.015010 Median : 0.0500000 Median :-0.01500 Median : 0.00000
## Mean : 0.001998 Mean : 0.0006235 Mean :-0.01275 Mean :-0.06375
## 3rd Qu.: 0.287500 3rd Qu.: 0.3825000 3rd Qu.: 0.62000 3rd Qu.: 0.48997
## Max. : 0.880000 Max. : 0.7700000 Max. : 0.95000 Max. : 1.05500
## data.4925 data.4926 data.4927 data.4928
## Min. :-1.16500 Min. :-0.935010 Min. :-0.755000 Min. :-1.3800
## 1st Qu.:-0.25750 1st Qu.:-0.230005 1st Qu.:-0.317495 1st Qu.:-0.2062
## Median :-0.01499 Median : 0.014981 Median :-0.002500 Median : 0.0250
## Mean :-0.06488 Mean : 0.009489 Mean : 0.007999 Mean : 0.0545
## 3rd Qu.: 0.14500 3rd Qu.: 0.322461 3rd Qu.: 0.245000 3rd Qu.: 0.3825
## Max. : 0.71500 Max. : 1.224990 Max. : 1.255000 Max. : 0.9900
## data.4929 data.4930 data.4931 data.4932
## Min. :-0.6600 Min. :-2.93000 Min. :-1.18000 Min. :-1.8750
## 1st Qu.:-0.1400 1st Qu.:-1.04000 1st Qu.:-0.15500 1st Qu.:-0.5700
## Median : 0.0300 Median : 0.25500 Median : 0.00000 Median :-0.0125
## Mean : 0.1704 Mean :-0.03388 Mean : 0.01387 Mean :-0.1290
## 3rd Qu.: 0.3825 3rd Qu.: 0.71625 3rd Qu.: 0.37500 3rd Qu.: 0.4775
## Max. : 1.8300 Max. : 2.58000 Max. : 0.93000 Max. : 1.5750
## data.4933 data.4934 data.4935 data.4936
## Min. :-1.1100 Min. :-0.830000 Min. :-1.0249810 Min. :-3.15000
## 1st Qu.:-0.4225 1st Qu.:-0.257500 1st Qu.:-0.3649805 1st Qu.:-0.49500
## Median : 0.1100 Median :-0.007500 Median : 0.0000293 Median : 0.01498
## Mean : 0.1092 Mean :-0.004126 Mean :-0.0579820 Mean :-0.13575
## 3rd Qu.: 0.6350 3rd Qu.: 0.170000 3rd Qu.: 0.2275195 3rd Qu.: 0.28750
## Max. : 1.5600 Max. : 0.900000 Max. : 0.9600195 Max. : 1.95000
## data.4937 data.4938 data.4939 data.4940
## Min. :-1.5100 Min. :-0.68998 Min. :-0.7000 Min. :-0.70996
## 1st Qu.:-0.3937 1st Qu.:-0.19249 1st Qu.:-0.2900 1st Qu.:-0.18744
## Median :-0.0650 Median :-0.01498 Median :-0.0250 Median : 0.05503
## Mean :-0.0100 Mean : 0.05852 Mean : 0.0865 Mean : 0.07929
## 3rd Qu.: 0.3300 3rd Qu.: 0.31252 3rd Qu.: 0.4900 3rd Qu.: 0.40754
## Max. : 1.1400 Max. : 1.00002 Max. : 1.1500 Max. : 1.05004
## data.4941 data.4942 data.4943 data.4944
## Min. :-0.9900 Min. :-1.69499 Min. :-2.0550 Min. :-0.90000
## 1st Qu.:-0.2050 1st Qu.:-0.42749 1st Qu.:-0.3600 1st Qu.:-0.27499
## Median : 0.0000 Median :-0.06999 Median :-0.0150 Median : 0.00000
## Mean : 0.1266 Mean :-0.11549 Mean :-0.1273 Mean : 0.05387
## 3rd Qu.: 0.5700 3rd Qu.: 0.10751 3rd Qu.: 0.2675 3rd Qu.: 0.23497
## Max. : 1.6100 Max. : 0.97501 Max. : 1.2750 Max. : 1.38000
## data.4945 data.4946 data.4947 data.4948
## Min. :-1.455000 Min. :-1.95502 Min. :-1.33998 Min. :-0.8200
## 1st Qu.:-0.537500 1st Qu.:-0.40250 1st Qu.:-0.68498 1st Qu.:-0.3000
## Median : 0.000000 Median : 0.00000 Median :-0.00999 Median : 0.0000
## Mean : 0.004124 Mean : 0.02325 Mean :-0.10286 Mean :-0.0490
## 3rd Qu.: 0.465000 3rd Qu.: 0.36000 3rd Qu.: 0.30003 3rd Qu.: 0.1625
## Max. : 1.575000 Max. : 1.47500 Max. : 1.35002 Max. : 0.7200
## data.4949 data.4950 data.4951 data.4952
## Min. :-1.15998 Min. :-1.24000 Min. :-0.58000 Min. :-1.31004
## 1st Qu.:-0.43746 1st Qu.:-0.33000 1st Qu.:-0.17250 1st Qu.:-0.28252
## Median : 0.04004 Median : 0.01998 Median : 0.02500 Median : 0.06498
## Mean : 0.03429 Mean : 0.17250 Mean : 0.08462 Mean : 0.03910
## 3rd Qu.: 0.18004 3rd Qu.: 0.44250 3rd Qu.: 0.35500 3rd Qu.: 0.36248
## Max. : 3.76004 Max. : 3.36000 Max. : 1.23000 Max. : 1.36998
## data.4953 data.4954 data.4955 data.4956
## Min. :-1.89000 Min. :-2.2600 Min. :-1.01000 Min. :-1.6650
## 1st Qu.:-0.40249 1st Qu.:-0.3925 1st Qu.:-0.29249 1st Qu.:-0.6450
## Median :-0.01000 Median : 0.1200 Median :-0.02000 Median :-0.1950
## Mean :-0.06013 Mean :-0.0630 Mean : 0.06837 Mean :-0.1288
## 3rd Qu.: 0.35250 3rd Qu.: 0.3525 3rd Qu.: 0.10250 3rd Qu.: 0.3900
## Max. : 1.53000 Max. : 2.8300 Max. : 2.80000 Max. : 1.6800
## data.4957 data.4958 data.4959 data.4960
## Min. :-2.1050 Min. :-0.670 Min. :-0.80999 Min. :-0.8000000
## 1st Qu.:-0.5850 1st Qu.:-0.165 1st Qu.:-0.13249 1st Qu.:-0.1737500
## Median :-0.1100 Median :-0.005 Median : 0.00000 Median :-0.0000195
## Mean :-0.2044 Mean : 0.059 Mean : 0.06663 Mean : 0.0102485
## 3rd Qu.: 0.2800 3rd Qu.: 0.235 3rd Qu.: 0.32501 3rd Qu.: 0.2025000
## Max. : 1.4400 Max. : 0.880 Max. : 1.33001 Max. : 1.0700000
## data.4961 data.4962 data.4963 data.4964
## Min. :-1.100000 Min. :-1.19001 Min. :-2.34502 Min. :-2.01000
## 1st Qu.:-0.292500 1st Qu.:-0.59501 1st Qu.:-0.55001 1st Qu.:-0.44501
## Median :-0.055000 Median :-0.01501 Median :-0.00750 Median : 0.00000
## Mean : 0.002998 Mean : 0.04974 Mean :-0.03613 Mean :-0.07013
## 3rd Qu.: 0.342500 3rd Qu.: 0.44998 3rd Qu.: 0.41750 3rd Qu.: 0.23750
## Max. : 0.960000 Max. : 3.00999 Max. : 1.98496 Max. : 2.14996
## data.4965 data.4966 data.4967 data.4968
## Min. :-1.4300 Min. :-1.15999 Min. :-1.28000 Min. :-1.30000
## 1st Qu.:-0.3200 1st Qu.:-0.37249 1st Qu.:-0.43251 1st Qu.:-0.39000
## Median : 0.0200 Median : 0.09001 Median : 0.02499 Median : 0.06501
## Mean : 0.1249 Mean :-0.01299 Mean :-0.02750 Mean :-0.01650
## 3rd Qu.: 0.6850 3rd Qu.: 0.22001 3rd Qu.: 0.33250 3rd Qu.: 0.35750
## Max. : 1.1750 Max. : 1.24003 Max. : 1.40002 Max. : 1.51002
## data.4969 data.4970 data.4971 data.4972
## Min. :-1.23002 Min. :-0.8100 Min. :-0.37000 Min. :-0.8300
## 1st Qu.:-0.42002 1st Qu.:-0.1375 1st Qu.:-0.13000 1st Qu.:-0.1275
## Median :-0.03503 Median : 0.0000 Median : 0.01500 Median : 0.1300
## Mean :-0.03077 Mean : 0.0460 Mean : 0.01787 Mean : 0.1099
## 3rd Qu.: 0.33748 3rd Qu.: 0.2575 3rd Qu.: 0.20250 3rd Qu.: 0.3575
## Max. : 1.35000 Max. : 0.6750 Max. : 0.40500 Max. : 1.2500
## data.4973 data.4974 data.4975 data.4976
## Min. :-1.64500 Min. :-1.12999 Min. :-0.45499 Min. :-0.84500
## 1st Qu.:-0.33999 1st Qu.:-0.24000 1st Qu.:-0.08999 1st Qu.:-0.25750
## Median : 0.04250 Median : 0.16499 Median : 0.07751 Median : 0.02001
## Mean : 0.02525 Mean : 0.08301 Mean : 0.11576 Mean : 0.13050
## 3rd Qu.: 0.41000 3rd Qu.: 0.36001 3rd Qu.: 0.30751 3rd Qu.: 0.50000
## Max. : 0.96000 Max. : 1.31501 Max. : 1.04503 Max. : 1.97500
## data.4977 data.4978 data.4979 data.4980
## Min. :-0.7200 Min. :-0.82500 Min. :-0.7900 Min. :-1.0050
## 1st Qu.:-0.2950 1st Qu.:-0.26750 1st Qu.:-0.1925 1st Qu.:-0.1500
## Median : 0.0000 Median : 0.02750 Median :-0.0050 Median : 0.0175
## Mean :-0.0135 Mean : 0.05925 Mean : 0.1112 Mean : 0.1359
## 3rd Qu.: 0.2288 3rd Qu.: 0.32000 3rd Qu.: 0.3600 3rd Qu.: 0.2750
## Max. : 0.7900 Max. : 1.71500 Max. : 1.1100 Max. : 1.4800
## data.4981 data.4982 data.4983 data.4984
## Min. :-1.5850 Min. :-1.78996 Min. :-1.3000 Min. :-2.0800
## 1st Qu.:-0.2675 1st Qu.:-0.42996 1st Qu.:-0.2975 1st Qu.:-0.2050
## Median :-0.0275 Median : 0.04504 Median : 0.0500 Median : 0.0150
## Mean : 0.1214 Mean : 0.05241 Mean : 0.1157 Mean : 0.1727
## 3rd Qu.: 0.5800 3rd Qu.: 0.50754 3rd Qu.: 0.7325 3rd Qu.: 0.7225
## Max. : 1.5250 Max. : 1.95504 Max. : 1.5200 Max. : 1.8050
## data.4985 data.4986 data.4987 data.4988
## Min. :-0.65500 Min. :-0.81500 Min. :-1.0600 Min. :-1.59500
## 1st Qu.:-0.18500 1st Qu.:-0.18750 1st Qu.:-0.2775 1st Qu.:-0.47500
## Median : 0.02500 Median : 0.02999 Median : 0.0250 Median :-0.04500
## Mean : 0.07225 Mean : 0.05600 Mean :-0.0345 Mean :-0.07925
## 3rd Qu.: 0.30750 3rd Qu.: 0.19750 3rd Qu.: 0.2325 3rd Qu.: 0.31750
## Max. : 0.88500 Max. : 1.30500 Max. : 0.8700 Max. : 0.87500
## data.4989 data.4990 data.4991 data.4992
## Min. :-1.455000 Min. :-2.1350 Min. :-0.7500 Min. :-0.7500
## 1st Qu.:-0.267500 1st Qu.:-0.8975 1st Qu.:-0.2225 1st Qu.:-0.2950
## Median : 0.020000 Median : 0.0000 Median : 0.0250 Median :-0.0800
## Mean : 0.008499 Mean :-0.2365 Mean : 0.1121 Mean :-0.0800
## 3rd Qu.: 0.349971 3rd Qu.: 0.3575 3rd Qu.: 0.3325 3rd Qu.: 0.1325
## Max. : 0.745000 Max. : 1.2950 Max. : 1.2600 Max. : 0.5100
## data.4993 data.4994 data.4995 data.4996
## Min. :-1.1550 Min. :-0.61500 Min. :-1.39001 Min. :-0.77250
## 1st Qu.:-0.3275 1st Qu.:-0.14750 1st Qu.:-0.35499 1st Qu.:-0.20250
## Median :-0.0200 Median :-0.01501 Median :-0.05749 Median : 0.08500
## Mean :-0.1145 Mean : 0.01675 Mean :-0.01099 Mean : 0.06675
## 3rd Qu.: 0.1550 3rd Qu.: 0.16876 3rd Qu.: 0.21501 3rd Qu.: 0.38000
## Max. : 0.8150 Max. : 0.70500 Max. : 1.20999 Max. : 1.13748
## data.4997 data.4998 data.4999 data.5000
## Min. :-1.11000 Min. :-0.86500 Min. :-0.73998 Min. :-0.64000
## 1st Qu.:-0.22502 1st Qu.:-0.13250 1st Qu.:-0.26499 1st Qu.:-0.16750
## Median : 0.05000 Median : 0.03500 Median : 0.08002 Median : 0.02000
## Mean : 0.02275 Mean : 0.04575 Mean : 0.08402 Mean : 0.06187
## 3rd Qu.: 0.34250 3rd Qu.: 0.22500 3rd Qu.: 0.34252 3rd Qu.: 0.24750
## Max. : 1.08000 Max. : 1.42500 Max. : 1.14002 Max. : 0.96000
## data.5001 data.5002 data.5003 data.5004
## Min. :-0.740000 Min. :-0.810 Min. :-0.7250 Min. :-0.66000
## 1st Qu.:-0.240029 1st Qu.:-0.250 1st Qu.:-0.1875 1st Qu.:-0.15125
## Median : 0.035000 Median : 0.070 Median : 0.0400 Median : 0.05500
## Mean : 0.003749 Mean : 0.050 Mean : 0.0265 Mean : 0.07412
## 3rd Qu.: 0.245000 3rd Qu.: 0.340 3rd Qu.: 0.2475 3rd Qu.: 0.26500
## Max. : 0.760000 Max. : 0.805 Max. : 0.9450 Max. : 0.81000
## data.5005 data.5006 data.5007 data.5008
## Min. :-0.75500 Min. :-0.480000 Min. :-0.93000 Min. :-1.13000
## 1st Qu.:-0.22500 1st Qu.:-0.180024 1st Qu.:-0.22750 1st Qu.:-0.31500
## Median : 0.02000 Median : 0.000000 Median :-0.01502 Median : 0.03500
## Mean : 0.07125 Mean : 0.002998 Mean : 0.04125 Mean :-0.03025
## 3rd Qu.: 0.29500 3rd Qu.: 0.172500 3rd Qu.: 0.30125 3rd Qu.: 0.21249
## Max. : 0.80500 Max. : 0.780000 Max. : 1.11000 Max. : 0.68000
## data.5009 data.5010 data.5011 data.5012
## Min. :-0.7550 Min. :-0.7850 Min. :-0.5700 Min. :-0.6050
## 1st Qu.:-0.2500 1st Qu.:-0.3400 1st Qu.:-0.1575 1st Qu.:-0.1050
## Median : 0.1250 Median : 0.1000 Median : 0.1150 Median : 0.0700
## Mean : 0.0600 Mean : 0.0355 Mean : 0.1721 Mean : 0.1616
## 3rd Qu.: 0.3275 3rd Qu.: 0.3562 3rd Qu.: 0.4025 3rd Qu.: 0.4575
## Max. : 0.9550 Max. : 0.7450 Max. : 1.3900 Max. : 0.9050
## data.5013 data.5014 data.5015 data.5016
## Min. :-0.6050 Min. :-1.16000 Min. :-0.85503 Min. :-1.11004
## 1st Qu.:-0.2775 1st Qu.:-0.24000 1st Qu.:-0.22501 1st Qu.:-0.18502
## Median : 0.0450 Median : 0.00000 Median :-0.01250 Median : 0.00000
## Mean : 0.0795 Mean : 0.01525 Mean :-0.01051 Mean :-0.04727
## 3rd Qu.: 0.3975 3rd Qu.: 0.35249 3rd Qu.: 0.18999 3rd Qu.: 0.19998
## Max. : 0.8850 Max. : 1.06500 Max. : 0.80497 Max. : 0.65998
## data.5017 data.5018 data.5019 data.5020
## Min. :-1.11000 Min. :-0.94000 Min. :-0.6700 Min. :-1.73500
## 1st Qu.:-0.10748 1st Qu.:-0.33999 1st Qu.:-0.3700 1st Qu.:-0.20500
## Median : 0.06999 Median : 0.03000 Median :-0.0350 Median :-0.00250
## Mean : 0.04037 Mean : 0.01875 Mean : 0.0215 Mean : 0.05212
## 3rd Qu.: 0.26000 3rd Qu.: 0.34625 3rd Qu.: 0.2775 3rd Qu.: 0.37249
## Max. : 0.79000 Max. : 1.03000 Max. : 0.9700 Max. : 1.08500
## data.5021 data.5022 data.5023 data.5024
## Min. :-1.06500 Min. :-0.84250 Min. :-1.4000 Min. :-1.10000
## 1st Qu.:-0.39000 1st Qu.:-0.24751 1st Qu.:-0.4000 1st Qu.:-0.10500
## Median : 0.00000 Median : 0.00875 Median : 0.0450 Median : 0.13000
## Mean : 0.02125 Mean : 0.02450 Mean : 0.0370 Mean : 0.07125
## 3rd Qu.: 0.48750 3rd Qu.: 0.23250 3rd Qu.: 0.5425 3rd Qu.: 0.31250
## Max. : 0.90500 Max. : 0.87750 Max. : 1.1100 Max. : 0.94000
## data.5025 data.5026 data.5027 data.5028
## Min. :-0.579990 Min. :-1.18000 Min. :-0.74251 Min. :-1.48002
## 1st Qu.:-0.222490 1st Qu.:-0.18375 1st Qu.:-0.25250 1st Qu.:-0.35127
## Median :-0.034990 Median : 0.05998 Median : 0.00000 Median : 0.00000
## Mean :-0.009242 Mean : 0.05100 Mean : 0.09874 Mean :-0.02727
## 3rd Qu.: 0.122510 3rd Qu.: 0.34500 3rd Qu.: 0.31499 3rd Qu.: 0.36998
## Max. : 0.700010 Max. : 1.18000 Max. : 1.82749 Max. : 1.07998
## data.5029 data.5030 data.5031 data.5032
## Min. :-1.27000 Min. :-1.1650 Min. :-0.58000 Min. :-1.380
## 1st Qu.:-0.14500 1st Qu.:-0.2425 1st Qu.:-0.17000 1st Qu.:-0.230
## Median : 0.00501 Median : 0.0950 Median : 0.00500 Median : 0.065
## Mean : 0.07675 Mean : 0.0425 Mean : 0.02487 Mean : 0.075
## 3rd Qu.: 0.26251 3rd Qu.: 0.3925 3rd Qu.: 0.14497 3rd Qu.: 0.360
## Max. : 1.46000 Max. : 1.1700 Max. : 0.83000 Max. : 1.280
## data.5033 data.5034 data.5035 data.5036
## Min. :-1.34501 Min. :-0.68999 Min. :-0.67000 Min. :-0.31999
## 1st Qu.:-0.11376 1st Qu.:-0.13624 1st Qu.:-0.16500 1st Qu.:-0.07499
## Median : 0.05999 Median : 0.05002 Median : 0.00500 Median : 0.05002
## Mean : 0.06324 Mean : 0.04976 Mean : 0.06837 Mean : 0.08151
## 3rd Qu.: 0.34246 3rd Qu.: 0.27001 3rd Qu.: 0.32250 3rd Qu.: 0.23751
## Max. : 1.28497 Max. : 0.85001 Max. : 0.91000 Max. : 0.83001
## data.5037 data.5038 data.5039 data.5040
## Min. :-0.77996 Min. :-1.20000 Min. :-0.94000 Min. :-1.74000
## 1st Qu.:-0.16121 1st Qu.:-0.29375 1st Qu.:-0.21749 1st Qu.:-0.55375
## Median : 0.06004 Median : 0.02000 Median : 0.01000 Median :-0.15750
## Mean : 0.02479 Mean : 0.04025 Mean : 0.06275 Mean :-0.04475
## 3rd Qu.: 0.19004 3rd Qu.: 0.33249 3rd Qu.: 0.31250 3rd Qu.: 0.65750
## Max. : 1.02002 Max. : 0.77998 Max. : 1.22000 Max. : 1.49998
## data.5041 data.5042 data.5043 data.5044
## Min. :-1.41000 Min. :-1.3275 Min. :-1.6000 Min. :-1.13500
## 1st Qu.:-0.35250 1st Qu.:-0.4500 1st Qu.:-0.4400 1st Qu.:-0.40501
## Median :-0.08250 Median :-0.0525 Median :-0.0400 Median :-0.09002
## Mean :-0.07725 Mean :-0.1004 Mean :-0.1061 Mean : 0.05850
## 3rd Qu.: 0.26251 3rd Qu.: 0.1125 3rd Qu.: 0.2750 3rd Qu.: 0.59125
## Max. : 1.15998 Max. : 0.8625 Max. : 1.9500 Max. : 2.18500
## data.5045 data.5046 data.5047 data.5048
## Min. :-0.89498 Min. :-0.9450 Min. :-0.8900 Min. :-1.18000
## 1st Qu.:-0.32748 1st Qu.:-0.2200 1st Qu.:-0.3500 1st Qu.:-0.44250
## Median :-0.04498 Median :-0.0025 Median :-0.0100 Median :-0.03501
## Mean : 0.03414 Mean : 0.0315 Mean :-0.0125 Mean :-0.09375
## 3rd Qu.: 0.34002 3rd Qu.: 0.2225 3rd Qu.: 0.2200 3rd Qu.: 0.22750
## Max. : 1.76502 Max. : 0.9950 Max. : 1.2300 Max. : 0.65000
## data.5049 data.5050 data.5051 data.5052
## Min. :-1.30500 Min. :-1.0875 Min. :-1.2400 Min. :-0.94500
## 1st Qu.:-0.38500 1st Qu.:-0.5400 1st Qu.:-0.5150 1st Qu.:-0.41500
## Median :-0.07750 Median :-0.1025 Median :-0.0750 Median :-0.04750
## Mean :-0.02225 Mean :-0.1780 Mean :-0.1471 Mean : 0.01787
## 3rd Qu.: 0.35250 3rd Qu.: 0.1625 3rd Qu.: 0.1825 3rd Qu.: 0.28751
## Max. : 1.64000 Max. : 0.6925 Max. : 1.3800 Max. : 1.39500
## data.5053 data.5054 data.5055 data.5056
## Min. :-0.87000 Min. :-0.6450 Min. :-0.76000 Min. :-0.85005
## 1st Qu.:-0.15250 1st Qu.:-0.1162 1st Qu.:-0.23750 1st Qu.:-0.18251
## Median : 0.00000 Median : 0.0800 Median : 0.11000 Median : 0.01999
## Mean : 0.04662 Mean : 0.2645 Mean : 0.08275 Mean : 0.04636
## 3rd Qu.: 0.22250 3rd Qu.: 0.3875 3rd Qu.: 0.38750 3rd Qu.: 0.40249
## Max. : 1.45000 Max. : 2.0700 Max. : 1.20500 Max. : 0.69999
## data.5057 data.5058 data.5059 data.5060
## Min. :-1.24498 Min. :-0.81002 Min. :-1.1800 Min. :-2.16002
## 1st Qu.:-0.35750 1st Qu.:-0.15000 1st Qu.:-0.4375 1st Qu.:-1.03000
## Median : 0.02250 Median : 0.02500 Median : 0.0750 Median : 0.01000
## Mean : 0.00475 Mean : 0.05037 Mean : 0.1017 Mean : 0.02787
## 3rd Qu.: 0.36750 3rd Qu.: 0.22750 3rd Qu.: 0.5925 3rd Qu.: 1.16501
## Max. : 0.96500 Max. : 0.83996 Max. : 1.5200 Max. : 2.26000
## data.5061 data.5062 data.5063 data.5064
## Min. :-0.74000 Min. :-0.8950 Min. :-0.960000 Min. :-0.7500
## 1st Qu.:-0.18750 1st Qu.:-0.1975 1st Qu.:-0.365000 1st Qu.:-0.2425
## Median : 0.02500 Median :-0.0075 Median :-0.005000 Median :-0.0050
## Mean : 0.04375 Mean : 0.0520 Mean :-0.002001 Mean : 0.1032
## 3rd Qu.: 0.22499 3rd Qu.: 0.2175 3rd Qu.: 0.356240 3rd Qu.: 0.3925
## Max. : 1.19000 Max. : 1.1250 Max. : 1.090020 Max. : 1.3100
## data.5065 data.5066 data.5067 data.5068
## Min. :-0.680 Min. :-0.69002 Min. :-0.59001 Min. :-1.000
## 1st Qu.:-0.160 1st Qu.:-0.24253 1st Qu.:-0.25751 1st Qu.:-0.295
## Median : 0.005 Median :-0.04000 Median :-0.02001 Median : 0.005
## Mean : 0.025 Mean :-0.01125 Mean :-0.02251 Mean :-0.038
## 3rd Qu.: 0.190 3rd Qu.: 0.15000 3rd Qu.: 0.11499 3rd Qu.: 0.210
## Max. : 0.700 Max. : 0.86998 Max. : 0.68999 Max. : 0.730
## data.5069 data.5070 data.5071 data.5072
## Min. :-0.7550 Min. :-0.93000 Min. :-1.20000 Min. :-1.120
## 1st Qu.:-0.4250 1st Qu.:-0.30000 1st Qu.:-0.22499 1st Qu.:-0.355
## Median : 0.0000 Median : 0.03000 Median : 0.03001 Median : 0.125
## Mean : 0.1156 Mean : 0.05625 Mean : 0.04500 Mean : 0.150
## 3rd Qu.: 0.2250 3rd Qu.: 0.31001 3rd Qu.: 0.20000 3rd Qu.: 0.525
## Max. : 3.4250 Max. : 1.58500 Max. : 1.47500 Max. : 1.700
## data.5073 data.5074 data.5075 data.5076
## Min. :-0.59998 Min. :-0.930010 Min. :-0.8100 Min. :-0.80004
## 1st Qu.:-0.26248 1st Qu.:-0.152510 1st Qu.:-0.1062 1st Qu.:-0.22250
## Median : 0.00499 Median : 0.004995 Median : 0.0000 Median : 0.01500
## Mean : 0.06964 Mean : 0.097864 Mean : 0.0875 Mean : 0.03612
## 3rd Qu.: 0.18752 3rd Qu.: 0.439976 3rd Qu.: 0.2850 3rd Qu.: 0.29999
## Max. : 1.23000 Max. : 1.630010 Max. : 1.5400 Max. : 0.73000
## data.5077 data.5078 data.5079 data.5080
## Min. :-0.98002 Min. :-0.91500 Min. :-0.82504 Min. :-0.59500
## 1st Qu.:-0.24502 1st Qu.:-0.09500 1st Qu.:-0.27627 1st Qu.:-0.16249
## Median : 0.02499 Median : 0.01750 Median :-0.08502 Median :-0.01000
## Mean : 0.01410 Mean : 0.05312 Mean : 0.01073 Mean : 0.01575
## 3rd Qu.: 0.30247 3rd Qu.: 0.29499 3rd Qu.: 0.21998 3rd Qu.: 0.22000
## Max. : 0.80998 Max. : 0.79500 Max. : 1.33498 Max. : 0.61500
## data.5081 data.5082 data.5083 data.5084
## Min. :-0.79002 Min. :-0.740000 Min. :-0.61998 Min. :-0.99500
## 1st Qu.:-0.11750 1st Qu.:-0.247510 1st Qu.:-0.20746 1st Qu.:-0.39001
## Median : 0.04000 Median : 0.035000 Median :-0.08496 Median : 0.00000
## Mean : 0.03475 Mean :-0.008502 Mean :-0.01309 Mean : 0.07287
## 3rd Qu.: 0.23250 3rd Qu.: 0.261255 3rd Qu.: 0.20254 3rd Qu.: 0.49375
## Max. : 0.77000 Max. : 0.480000 Max. : 0.82004 Max. : 1.65500
## data.5085 data.5086 data.5087 data.5088
## Min. :-1.7700 Min. :-0.67000 Min. :-0.759990 Min. :-1.205000
## 1st Qu.:-0.4825 1st Qu.:-0.18253 1st Qu.:-0.254990 1st Qu.:-0.217500
## Median : 0.0000 Median : 0.04500 Median : 0.004995 Median : 0.034980
## Mean : 0.4211 Mean : 0.07437 Mean : 0.026133 Mean : 0.003249
## 3rd Qu.: 1.1675 3rd Qu.: 0.38000 3rd Qu.: 0.295010 3rd Qu.: 0.262495
## Max. : 3.9100 Max. : 0.82500 Max. : 0.990010 Max. : 0.920000
## data.5089 data.5090 data.5091 data.5092
## Min. :-1.03498 Min. :-0.7850 Min. :-0.6800 Min. :-0.92247
## 1st Qu.:-0.34500 1st Qu.:-0.1300 1st Qu.:-0.2725 1st Qu.:-0.20249
## Median : 0.03999 Median : 0.0100 Median : 0.0375 Median : 0.00000
## Mean : 0.05900 Mean : 0.0615 Mean :-0.0140 Mean : 0.05926
## 3rd Qu.: 0.48375 3rd Qu.: 0.2800 3rd Qu.: 0.2025 3rd Qu.: 0.28001
## Max. : 1.12500 Max. : 0.9900 Max. : 0.5700 Max. : 1.32751
## data.5093 data.5094 data.5095 data.5096
## Min. :-0.99999 Min. :-0.605000 Min. :-1.70000 Min. :-0.87500
## 1st Qu.:-0.39374 1st Qu.:-0.225000 1st Qu.:-0.22625 1st Qu.:-0.34750
## Median :-0.00999 Median :-0.020010 Median :-0.01502 Median :-0.06502
## Mean :-0.09649 Mean :-0.006877 Mean :-0.04413 Mean :-0.09050
## 3rd Qu.: 0.14751 3rd Qu.: 0.114971 3rd Qu.: 0.14001 3rd Qu.: 0.17000
## Max. : 0.86001 Max. : 0.775000 Max. : 0.96000 Max. : 0.39500
## data.5097 data.5098 data.5099 data.5100
## Min. :-0.7350 Min. :-0.80502 Min. :-0.49498 Min. :-0.98000
## 1st Qu.:-0.1663 1st Qu.:-0.15750 1st Qu.:-0.15998 1st Qu.:-0.36500
## Median :-0.0400 Median : 0.02000 Median : 0.00000 Median :-0.08002
## Mean :-0.0385 Mean : 0.01887 Mean : 0.05002 Mean :-0.10375
## 3rd Qu.: 0.1425 3rd Qu.: 0.16500 3rd Qu.: 0.23751 3rd Qu.: 0.13750
## Max. : 0.5450 Max. : 0.94500 Max. : 0.98502 Max. : 0.81002
## data.5101 data.5102 data.5103 data.5104
## Min. :-0.88998 Min. :-0.95000 Min. :-0.88000 Min. :-0.93000
## 1st Qu.:-0.32998 1st Qu.:-0.31003 1st Qu.:-0.12750 1st Qu.:-0.31751
## Median :-0.00999 Median :-0.00499 Median :-0.02500 Median : 0.03999
## Mean :-0.06273 Mean :-0.06463 Mean : 0.01675 Mean : 0.03400
## 3rd Qu.: 0.14002 3rd Qu.: 0.23250 3rd Qu.: 0.13750 3rd Qu.: 0.42250
## Max. : 0.68004 Max. : 0.52000 Max. : 1.04000 Max. : 1.16998
## data.5105 data.5106 data.5107 data.5108
## Min. :-1.002500 Min. :-1.1150 Min. :-1.49496 Min. :-0.9900
## 1st Qu.:-0.287500 1st Qu.:-0.4300 1st Qu.:-0.36498 1st Qu.:-0.2325
## Median : 0.000000 Median :-0.1300 Median :-0.08998 Median :-0.0150
## Mean :-0.007751 Mean :-0.1168 Mean :-0.13773 Mean :-0.0230
## 3rd Qu.: 0.159995 3rd Qu.: 0.1375 3rd Qu.: 0.14752 3rd Qu.: 0.1025
## Max. : 0.897500 Max. : 0.7750 Max. : 0.95500 Max. : 1.0400
## data.5109 data.5110 data.5111 data.5112
## Min. :-1.58496 Min. :-1.11000 Min. :-0.690000 Min. :-0.76000
## 1st Qu.:-0.19748 1st Qu.:-0.55000 1st Qu.:-0.205000 1st Qu.:-0.14000
## Median : 0.04500 Median :-0.04000 Median : 0.000000 Median : 0.06999
## Mean : 0.04002 Mean :-0.02725 Mean :-0.006751 Mean : 0.07837
## 3rd Qu.: 0.28252 3rd Qu.: 0.45250 3rd Qu.: 0.242500 3rd Qu.: 0.29000
## Max. : 0.98500 Max. : 1.06000 Max. : 0.879981 Max. : 0.82500
## data.5113 data.5114 data.5115 data.5116
## Min. :-0.54998 Min. :-0.709961 Min. :-0.640000 Min. :-0.98000
## 1st Qu.:-0.21748 1st Qu.:-0.174981 1st Qu.:-0.195000 1st Qu.:-0.28000
## Median :-0.04998 Median : 0.005010 Median : 0.010010 Median :-0.06500
## Mean :-0.01736 Mean : 0.002767 Mean : 0.003999 Mean :-0.03875
## 3rd Qu.: 0.21501 3rd Qu.: 0.250020 3rd Qu.: 0.250000 3rd Qu.: 0.12000
## Max. : 0.74002 Max. : 0.945020 Max. : 0.650000 Max. : 1.06000
## data.5117 data.5118 data.5119 data.5120
## Min. :-0.71000 Min. :-0.720000 Min. :-0.920 Min. :-1.19998
## 1st Qu.:-0.08000 1st Qu.:-0.168760 1st Qu.:-0.235 1st Qu.:-0.44247
## Median : 0.07000 Median : 0.020000 Median : 0.075 Median : 0.01002
## Mean : 0.04625 Mean : 0.005498 Mean : 0.054 Mean :-0.06648
## 3rd Qu.: 0.22250 3rd Qu.: 0.135000 3rd Qu.: 0.345 3rd Qu.: 0.17752
## Max. : 0.71500 Max. : 0.610020 Max. : 0.750 Max. : 0.82002
## data.5121 data.5122 data.5123 data.5124
## Min. :-0.899990 Min. :-0.72998 Min. :-0.9050 Min. :-0.59500
## 1st Qu.:-0.361240 1st Qu.:-0.36498 1st Qu.:-0.1938 1st Qu.:-0.08000
## Median :-0.064990 Median : 0.00500 Median : 0.1400 Median : 0.01500
## Mean :-0.001242 Mean : 0.03202 Mean : 0.1380 Mean : 0.04662
## 3rd Qu.: 0.292510 3rd Qu.: 0.42502 3rd Qu.: 0.4350 3rd Qu.: 0.19749
## Max. : 1.345010 Max. : 0.97002 Max. : 1.6150 Max. : 0.93500
## data.5125 data.5126 data.5127 data.5128
## Min. :-0.47000 Min. :-0.94499 Min. :-0.62000 Min. :-0.7000
## 1st Qu.:-0.10250 1st Qu.:-0.05999 1st Qu.:-0.16001 1st Qu.:-0.1875
## Median : 0.04499 Median : 0.09999 Median : 0.04500 Median : 0.0150
## Mean : 0.08550 Mean : 0.09363 Mean : 0.08412 Mean : 0.0735
## 3rd Qu.: 0.29250 3rd Qu.: 0.36501 3rd Qu.: 0.25750 3rd Qu.: 0.4000
## Max. : 0.94000 Max. : 0.83499 Max. : 0.98000 Max. : 0.9400
## data.5129 data.5130 data.5131 data.5132
## Min. :-0.9775 Min. :-1.25000 Min. :-1.0550 Min. :-0.934980
## 1st Qu.:-0.2700 1st Qu.:-0.40750 1st Qu.:-0.5875 1st Qu.:-0.277485
## Median :-0.0375 Median :-0.07500 Median :-0.1850 Median :-0.039981
## Mean :-0.0190 Mean :-0.08938 Mean :-0.1333 Mean : 0.004768
## 3rd Qu.: 0.1425 3rd Qu.: 0.28248 3rd Qu.: 0.2175 3rd Qu.: 0.325020
## Max. : 1.2625 Max. : 0.68000 Max. : 1.8950 Max. : 0.935020
## data.5133 data.5134 data.5135 data.5136
## Min. :-1.0500 Min. :-0.9250 Min. :-0.8500 Min. :-0.7850
## 1st Qu.:-0.4025 1st Qu.:-0.2975 1st Qu.:-0.2025 1st Qu.:-0.3200
## Median :-0.0550 Median :-0.1650 Median : 0.0000 Median : 0.1050
## Mean :-0.0575 Mean :-0.1054 Mean : 0.1265 Mean : 0.0560
## 3rd Qu.: 0.2950 3rd Qu.: 0.1250 3rd Qu.: 0.5012 3rd Qu.: 0.3925
## Max. : 0.9000 Max. : 0.7000 Max. : 1.1700 Max. : 1.2050
## data.5137 data.5138 data.5139 data.5140
## Min. :-0.7500 Min. :-1.2900 Min. :-0.8500 Min. :-0.79000
## 1st Qu.:-0.2225 1st Qu.:-0.1775 1st Qu.:-0.1100 1st Qu.:-0.25250
## Median : 0.1750 Median : 0.0900 Median : 0.0750 Median : 0.02999
## Mean : 0.1222 Mean : 0.1714 Mean : 0.1267 Mean : 0.08550
## 3rd Qu.: 0.4075 3rd Qu.: 0.7125 3rd Qu.: 0.4425 3rd Qu.: 0.43750
## Max. : 0.9350 Max. : 1.5800 Max. : 1.1500 Max. : 1.60000
## data.5141 data.5142 data.5143 data.5144
## Min. :-0.84000 Min. :-2.0800 Min. :-0.8900000 Min. :-0.88000
## 1st Qu.:-0.42000 1st Qu.:-0.8825 1st Qu.:-0.2725000 1st Qu.:-0.32500
## Median :-0.11000 Median : 0.0300 Median :-0.0000195 Median : 0.00000
## Mean : 0.02325 Mean : 0.3305 Mean :-0.0207515 Mean :-0.04563
## 3rd Qu.: 0.26250 3rd Qu.: 0.9950 3rd Qu.: 0.3000000 3rd Qu.: 0.19250
## Max. : 1.56000 Max. : 4.4500 Max. : 0.9100000 Max. : 1.24000
## data.5145 data.5146 data.5147 data.5148
## Min. :-1.07000 Min. :-1.125000 Min. :-1.0450 Min. :-0.98999
## 1st Qu.:-0.39000 1st Qu.:-0.227500 1st Qu.:-0.4125 1st Qu.:-0.35250
## Median : 0.00499 Median :-0.020000 Median :-0.0100 Median :-0.00499
## Mean : 0.01125 Mean :-0.009751 Mean :-0.0710 Mean :-0.01399
## 3rd Qu.: 0.41000 3rd Qu.: 0.302500 3rd Qu.: 0.2825 3rd Qu.: 0.33377
## Max. : 1.26000 Max. : 1.120000 Max. : 1.0700 Max. : 0.95001
## data.5149 data.5150 data.5151 data.5152
## Min. :-0.87000 Min. :-0.95000 Min. :-0.940000 Min. :-0.4600
## 1st Qu.:-0.31250 1st Qu.:-0.42000 1st Qu.:-0.230000 1st Qu.:-0.1975
## Median : 0.01999 Median :-0.00499 Median :-0.052500 Median : 0.0375
## Mean :-0.01925 Mean :-0.04163 Mean : 0.001374 Mean : 0.1289
## 3rd Qu.: 0.29500 3rd Qu.: 0.24500 3rd Qu.: 0.205000 3rd Qu.: 0.3200
## Max. : 1.02002 Max. : 1.18002 Max. : 1.460020 Max. : 1.6100
## data.5153 data.5154 data.5155 data.5156
## Min. :-1.35001 Min. :-1.2850 Min. :-0.87000 Min. :-0.7450
## 1st Qu.:-0.14501 1st Qu.:-0.3175 1st Qu.:-0.22625 1st Qu.:-0.2025
## Median : 0.04997 Median : 0.0150 Median :-0.05000 Median : 0.0250
## Mean : 0.14436 Mean :-0.0255 Mean : 0.02325 Mean : 0.0285
## 3rd Qu.: 0.47749 3rd Qu.: 0.2650 3rd Qu.: 0.27250 3rd Qu.: 0.3325
## Max. : 2.93001 Max. : 0.9050 Max. : 1.27002 Max. : 0.9100
## data.5157 data.5158 data.5159 data.5160
## Min. :-0.7850 Min. :-1.230000 Min. :-0.810000 Min. :-0.64000
## 1st Qu.:-0.3262 1st Qu.:-0.210000 1st Qu.:-0.357505 1st Qu.:-0.22500
## Median :-0.0450 Median : 0.000000 Median :-0.085000 Median : 0.01500
## Mean : 0.0175 Mean : 0.004624 Mean : 0.006999 Mean : 0.01462
## 3rd Qu.: 0.2700 3rd Qu.: 0.204995 3rd Qu.: 0.370000 3rd Qu.: 0.26000
## Max. : 1.1650 Max. : 1.220020 Max. : 1.320020 Max. : 0.75002
## data.5161 data.5162 data.5163 data.5164
## Min. :-0.66000 Min. :-0.49000 Min. :-0.815 Min. :-1.04002
## 1st Qu.:-0.31000 1st Qu.:-0.27500 1st Qu.:-0.380 1st Qu.:-0.37500
## Median :-0.05499 Median :-0.04001 Median :-0.025 Median : 0.01001
## Mean :-0.06800 Mean : 0.02887 Mean :-0.097 Mean :-0.01625
## 3rd Qu.: 0.14750 3rd Qu.: 0.33250 3rd Qu.: 0.200 3rd Qu.: 0.28250
## Max. : 0.63000 Max. : 1.06000 Max. : 0.700 Max. : 0.79000
## data.5165 data.5166 data.5167 data.5168
## Min. :-0.89000 Min. :-0.649990 Min. :-0.67500 Min. :-1.11499
## 1st Qu.:-0.25500 1st Qu.:-0.109990 1st Qu.:-0.27750 1st Qu.:-0.23999
## Median : 0.04501 Median :-0.002500 Median :-0.03750 Median : 0.02999
## Mean : 0.03350 Mean :-0.004492 Mean : 0.05575 Mean :-0.04324
## 3rd Qu.: 0.45250 3rd Qu.: 0.195010 3rd Qu.: 0.29000 3rd Qu.: 0.23252
## Max. : 1.19000 Max. : 0.730010 Max. : 1.37500 Max. : 1.03001
## data.5169 data.5170 data.5171 data.5172
## Min. :-0.8100 Min. :-0.520010 Min. :-0.68000 Min. :-0.52500
## 1st Qu.:-0.1750 1st Qu.:-0.201260 1st Qu.:-0.20000 1st Qu.:-0.28248
## Median :-0.0050 Median :-0.010029 Median : 0.00000 Median : 0.00000
## Mean : 0.0105 Mean :-0.001261 Mean : 0.04312 Mean : 0.02227
## 3rd Qu.: 0.1625 3rd Qu.: 0.242485 3rd Qu.: 0.24875 3rd Qu.: 0.24127
## Max. : 1.0300 Max. : 0.799990 Max. : 1.08000 Max. : 0.87502
## data.5173 data.5174 data.5175 data.5176
## Min. :-0.96502 Min. :-1.2350 Min. :-0.80501 Min. :-0.7600000
## 1st Qu.:-0.07999 1st Qu.:-0.2150 1st Qu.:-0.34501 1st Qu.:-0.3825000
## Median : 0.04000 Median : 0.1800 Median : 0.00000 Median :-0.0350000
## Mean : 0.06150 Mean : 0.1670 Mean : 0.07599 Mean :-0.0001265
## 3rd Qu.: 0.29001 3rd Qu.: 0.6288 3rd Qu.: 0.37874 3rd Qu.: 0.1500049
## Max. : 0.83498 Max. : 1.2850 Max. : 1.14499 Max. : 1.2999800
## data.5177 data.5178 data.5179 data.5180
## Min. :-1.0400000 Min. :-0.93005 Min. :-0.5250 Min. :-1.04500
## 1st Qu.:-0.2575000 1st Qu.:-0.29750 1st Qu.:-0.1825 1st Qu.:-0.31001
## Median : 0.0000000 Median : 0.00999 Median : 0.2750 Median :-0.02000
## Mean : 0.0008735 Mean :-0.02776 Mean : 0.3615 Mean : 0.05825
## 3rd Qu.: 0.2775000 3rd Qu.: 0.18749 3rd Qu.: 0.6500 3rd Qu.: 0.33501
## Max. : 0.9000000 Max. : 0.59999 Max. : 2.0650 Max. : 1.56500
## data.5181 data.5182 data.5183 data.5184
## Min. :-0.745000 Min. :-0.7700000 Min. :-0.96000 Min. :-0.97500
## 1st Qu.:-0.209985 1st Qu.:-0.1749951 1st Qu.:-0.44250 1st Qu.:-0.34750
## Median :-0.010010 Median :-0.0099902 Median : 0.04000 Median :-0.01502
## Mean :-0.005875 Mean :-0.0006265 Mean :-0.08975 Mean :-0.02000
## 3rd Qu.: 0.154985 3rd Qu.: 0.1500000 3rd Qu.: 0.15500 3rd Qu.: 0.18750
## Max. : 0.820000 Max. : 0.9400000 Max. : 0.85000 Max. : 0.79500
## data.5185 data.5186 data.5187 data.5188
## Min. :-1.09998 Min. :-1.26000 Min. :-1.7150 Min. :-1.06999
## 1st Qu.:-0.58498 1st Qu.:-0.31750 1st Qu.:-0.5575 1st Qu.:-0.44874
## Median :-0.00249 Median :-0.08499 Median : 0.0125 Median :-0.06499
## Mean : 0.06827 Mean :-0.10513 Mean :-0.1101 Mean :-0.09249
## 3rd Qu.: 0.68752 3rd Qu.: 0.12000 3rd Qu.: 0.2600 3rd Qu.: 0.20251
## Max. : 1.32002 Max. : 0.66000 Max. : 1.2050 Max. : 0.94001
## data.5189 data.5190 data.5191 data.5192
## Min. :-0.78000 Min. :-0.79000 Min. :-0.97998 Min. :-1.9950
## 1st Qu.:-0.13750 1st Qu.:-0.18000 1st Qu.:-0.25123 1st Qu.:-0.2625
## Median : 0.00000 Median : 0.05001 Median : 0.02002 Median : 0.0000
## Mean : 0.03687 Mean : 0.09750 Mean : 0.03589 Mean :-0.0895
## 3rd Qu.: 0.28500 3rd Qu.: 0.37500 3rd Qu.: 0.25002 3rd Qu.: 0.1675
## Max. : 0.71500 Max. : 1.06998 Max. : 1.53002 Max. : 0.7750
## data.5193 data.5194 data.5195 data.5196
## Min. :-1.81500 Min. :-3.1300 Min. :-1.07999 Min. :-1.36500
## 1st Qu.:-0.33750 1st Qu.:-0.8475 1st Qu.:-0.33249 1st Qu.:-0.36748
## Median :-0.06501 Median : 0.0000 Median : 0.00501 Median : 0.00000
## Mean :-0.12650 Mean :-0.2230 Mean :-0.04762 Mean :-0.03075
## 3rd Qu.: 0.13749 3rd Qu.: 0.3262 3rd Qu.: 0.24001 3rd Qu.: 0.41750
## Max. : 0.58500 Max. : 4.2500 Max. : 0.91999 Max. : 1.24500
## data.5197 data.5198 data.5199 data.5200
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## 1st Qu.:-0.24250 1st Qu.:-0.31499 1st Qu.:-0.42503 1st Qu.:-0.60003
## Median :-0.03498 Median :-0.02000 Median :-0.00500 Median : 0.20998
## Mean :-0.02086 Mean :-0.04238 Mean :-0.05925 Mean : 0.09123
## 3rd Qu.: 0.22252 3rd Qu.: 0.23000 3rd Qu.: 0.32250 3rd Qu.: 0.63498
## Max. : 1.52002 Max. : 1.29000 Max. : 1.10500 Max. : 2.49998
## data.5201 data.5202 data.5203 data.5204
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## 1st Qu.:-0.435015 1st Qu.:-0.38500 1st Qu.:-0.4550 1st Qu.:-0.247500
## Median : 0.004990 Median :-0.07501 Median : 0.0000 Median :-0.007500
## Mean :-0.009019 Mean :-0.07100 Mean :-0.0585 Mean : 0.007748
## 3rd Qu.: 0.387481 3rd Qu.: 0.20501 3rd Qu.: 0.1875 3rd Qu.: 0.282495
## Max. : 1.229980 Max. : 1.01000 Max. : 1.4500 Max. : 1.465000
## data.5205 data.5206 data.5207 data.5208
## Min. :-0.74998 Min. :-1.13000 Min. :-1.350000 Min. :-1.43500
## 1st Qu.:-0.17248 1st Qu.:-0.36250 1st Qu.:-0.272500 1st Qu.:-0.37250
## Median :-0.01498 Median : 0.02001 Median : 0.015000 Median : 0.00000
## Mean :-0.04498 Mean :-0.02650 Mean :-0.001252 Mean :-0.01075
## 3rd Qu.: 0.07503 3rd Qu.: 0.20750 3rd Qu.: 0.347500 3rd Qu.: 0.31251
## Max. : 0.68002 Max. : 1.66000 Max. : 1.420000 Max. : 1.75500
## data.5209 data.5210 data.5211 data.5212
## Min. :-1.2400 Min. :-1.46500 Min. :-1.8200 Min. :-1.14002
## 1st Qu.:-0.4050 1st Qu.:-0.39498 1st Qu.:-0.4000 1st Qu.:-0.28251
## Median :-0.0450 Median : 0.03502 Median : 0.0700 Median : 0.01750
## Mean :-0.1013 Mean :-0.06361 Mean : 0.0375 Mean :-0.03225
## 3rd Qu.: 0.2825 3rd Qu.: 0.36752 3rd Qu.: 0.4400 3rd Qu.: 0.18751
## Max. : 1.1300 Max. : 1.10502 Max. : 1.6800 Max. : 1.02000
## data.5213 data.5214 data.5215 data.5216
## Min. :-0.9800 Min. :-0.7300 Min. :-0.950000 Min. :-1.0900
## 1st Qu.:-0.2625 1st Qu.:-0.1875 1st Qu.:-0.184995 1st Qu.:-0.3200
## Median : 0.1250 Median :-0.0100 Median : 0.035000 Median : 0.0000
## Mean : 0.1132 Mean : 0.2029 Mean : 0.008873 Mean :-0.0180
## 3rd Qu.: 0.4225 3rd Qu.: 0.5975 3rd Qu.: 0.220000 3rd Qu.: 0.2725
## Max. : 1.9000 Max. : 2.9000 Max. : 1.800000 Max. : 1.5700
## data.5217 data.5218 data.5219 data.5220
## Min. :-0.9500391 Min. :-1.475000 Min. :-0.870 Min. :-1.39999
## 1st Qu.:-0.3500195 1st Qu.:-0.627485 1st Qu.:-0.450 1st Qu.:-0.28499
## Median :-0.0000293 Median : 0.074990 Median : 0.120 Median : 0.02000
## Mean : 0.0299800 Mean : 0.003498 Mean : 0.123 Mean : 0.01076
## 3rd Qu.: 0.3299805 3rd Qu.: 0.557500 3rd Qu.: 0.460 3rd Qu.: 0.36001
## Max. : 2.2399800 Max. : 2.515000 Max. : 2.045 Max. : 0.95501
## data.5221 data.5222 data.5223 data.5224
## Min. :-1.50500 Min. :-1.19002 Min. :-1.63998 Min. :-0.76998
## 1st Qu.:-0.44500 1st Qu.:-0.51502 1st Qu.:-0.27250 1st Qu.:-0.23246
## Median : 0.00501 Median : 0.02999 Median :-0.00500 Median : 0.00000
## Mean : 0.63000 Mean : 0.36661 Mean : 0.02025 Mean : 0.03278
## 3rd Qu.: 1.17000 3rd Qu.: 0.69998 3rd Qu.: 0.38250 3rd Qu.: 0.23254
## Max. : 5.03000 Max. : 3.42998 Max. : 1.26002 Max. : 0.94004
## data.5225 data.5226 data.5227 data.5228
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## 1st Qu.:-0.3250 1st Qu.:-0.1712 1st Qu.:-0.3300 1st Qu.:-0.26252
## Median : 0.0150 Median : 0.2100 Median :-0.0250 Median : 0.00000
## Mean : 0.1707 Mean : 0.1918 Mean : 0.0260 Mean : 0.01536
## 3rd Qu.: 0.5250 3rd Qu.: 0.8075 3rd Qu.: 0.1425 3rd Qu.: 0.33998
## Max. : 2.1400 Max. : 2.1750 Max. : 2.4500 Max. : 2.68498
## data.5229 data.5230 data.5231 data.5232
## Min. :-1.070000 Min. :-1.7400 Min. :-0.89002 Min. :-1.85502
## 1st Qu.:-0.282495 1st Qu.:-0.5763 1st Qu.:-0.10750 1st Qu.:-0.20250
## Median :-0.007500 Median :-0.0550 Median : 0.02000 Median : 0.00250
## Mean :-0.009501 Mean :-0.0545 Mean : 0.01287 Mean :-0.04338
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## Max. : 0.759980 Max. : 2.7100 Max. : 0.55000 Max. : 0.82500
## data.5233 data.5234 data.5235 data.5236
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## 1st Qu.:-0.39000 1st Qu.:-0.2425 1st Qu.:-0.26250 1st Qu.:-0.27000
## Median : 0.06000 Median : 0.1650 Median : 0.01500 Median :-0.03502
## Mean : 0.03875 Mean : 0.1585 Mean :-0.02325 Mean :-0.02400
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## Max. : 1.64000 Max. : 1.5650 Max. : 1.29000 Max. : 0.98000
## data.5237 data.5238 data.5239 data.5240
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## 1st Qu.:-0.16250 1st Qu.:-0.34750 1st Qu.:-0.350010 1st Qu.:-0.50876
## Median :-0.08500 Median :-0.09000 Median : 0.140000 Median : 0.04998
## Mean : 0.03975 Mean : 0.03587 Mean : 0.001873 Mean : 0.07049
## 3rd Qu.: 0.26500 3rd Qu.: 0.43250 3rd Qu.: 0.362500 3rd Qu.: 0.57249
## Max. : 1.04000 Max. : 1.68000 Max. : 0.720000 Max. : 1.38499
## data.5241 data.5242 data.5243 data.5244
## Min. :-1.24500 Min. :-2.6200 Min. :-0.87502 Min. :-1.20500
## 1st Qu.:-0.38498 1st Qu.:-0.5675 1st Qu.:-0.25750 1st Qu.:-0.32000
## Median :-0.17500 Median : 0.0000 Median :-0.02999 Median : 0.00000
## Mean :-0.04498 Mean : 0.2316 Mean : 0.13287 Mean : 0.03687
## 3rd Qu.: 0.39502 3rd Qu.: 0.9025 3rd Qu.: 0.58000 3rd Qu.: 0.53999
## Max. : 1.52502 Max. : 3.5500 Max. : 1.61000 Max. : 1.24500
## data.5245 data.5246 data.5247 data.5248
## Min. :-1.6600 Min. :-1.84000 Min. :-0.789961 Min. :-0.94501
## 1st Qu.:-0.3150 1st Qu.:-0.25001 1st Qu.:-0.254946 1st Qu.:-0.28501
## Median :-0.0250 Median : 0.01000 Median : 0.010020 Median :-0.01001
## Mean :-0.1064 Mean :-0.04938 Mean : 0.005911 Mean :-0.05301
## 3rd Qu.: 0.2000 3rd Qu.: 0.22250 3rd Qu.: 0.252539 3rd Qu.: 0.17498
## Max. : 0.6200 Max. : 1.37000 Max. : 0.790039 Max. : 1.16499
## data.5249 data.5250 data.5251 data.5252
## Min. :-1.38000 Min. :-0.66500 Min. :-0.80000 Min. :-0.98000
## 1st Qu.:-0.28250 1st Qu.:-0.21000 1st Qu.:-0.24750 1st Qu.:-0.25000
## Median : 0.00000 Median :-0.00750 Median : 0.00000 Median :-0.01501
## Mean : 0.07687 Mean : 0.09537 Mean : 0.09187 Mean : 0.05812
## 3rd Qu.: 0.23500 3rd Qu.: 0.41750 3rd Qu.: 0.43000 3rd Qu.: 0.33499
## Max. : 3.08000 Max. : 1.01500 Max. : 1.33000 Max. : 1.14000
## data.5253 data.5254 data.5255 data.5256
## Min. :-1.3900 Min. :-3.2100 Min. :-1.08000 Min. :-1.04000
## 1st Qu.:-0.5950 1st Qu.:-0.3375 1st Qu.:-0.40750 1st Qu.:-0.34000
## Median :-0.1950 Median : 0.0400 Median :-0.09000 Median :-0.09249
## Mean :-0.1153 Mean :-0.0970 Mean :-0.08575 Mean :-0.05300
## 3rd Qu.: 0.3650 3rd Qu.: 0.3600 3rd Qu.: 0.21500 3rd Qu.: 0.29250
## Max. : 1.0700 Max. : 0.8200 Max. : 0.84000 Max. : 0.88000
## data.5257 data.5258 data.5259 data.5260
## Min. :-1.27000 Min. :-0.99498 Min. :-0.55000 Min. :-1.59501
## 1st Qu.:-0.10000 1st Qu.:-0.20750 1st Qu.:-0.22251 1st Qu.:-0.61001
## Median : 0.06500 Median : 0.00000 Median : 0.00000 Median : 0.00000
## Mean : 0.03725 Mean :-0.02463 Mean :-0.02063 Mean :-0.02888
## 3rd Qu.: 0.38751 3rd Qu.: 0.21500 3rd Qu.: 0.15500 3rd Qu.: 0.11875
## Max. : 0.68000 Max. : 0.69500 Max. : 0.58000 Max. : 2.57499
## data.5261 data.5262 data.5263 data.5264
## Min. :-1.97000 Min. :-2.1750 Min. :-1.23502 Min. :-2.440000
## 1st Qu.:-0.26750 1st Qu.:-0.7450 1st Qu.:-0.25750 1st Qu.:-0.600000
## Median : 0.00000 Median : 0.0150 Median :-0.01500 Median : 0.000000
## Mean :-0.01488 Mean :-0.1285 Mean : 0.06275 Mean :-0.009002
## 3rd Qu.: 0.40750 3rd Qu.: 0.3950 3rd Qu.: 0.42747 3rd Qu.: 0.932500
## Max. : 1.70996 Max. : 1.9650 Max. : 1.28500 Max. : 2.220000
## data.5265 data.5266 data.5267 data.5268
## Min. :-0.98000 Min. :-0.8000 Min. :-1.66000 Min. :-1.8950
## 1st Qu.:-0.19000 1st Qu.:-0.2875 1st Qu.:-0.47500 1st Qu.:-0.4075
## Median : 0.00000 Median :-0.0425 Median : 0.02500 Median : 0.0000
## Mean :-0.03838 Mean :-0.0570 Mean : 0.04862 Mean :-0.0170
## 3rd Qu.: 0.26250 3rd Qu.: 0.1975 3rd Qu.: 0.55500 3rd Qu.: 0.4675
## Max. : 0.86000 Max. : 0.9600 Max. : 2.33996 Max. : 1.9750
## data.5269 data.5270 data.5271 data.5272
## Min. :-1.90000 Min. :-1.63002 Min. :-1.6600 Min. :-2.2000
## 1st Qu.:-0.18500 1st Qu.:-0.54750 1st Qu.:-0.6000 1st Qu.:-0.7850
## Median : 0.00000 Median : 0.00000 Median : 0.0000 Median : 0.2000
## Mean : 0.05712 Mean : 0.09162 Mean : 0.4199 Mean : 0.2802
## 3rd Qu.: 0.30750 3rd Qu.: 0.40000 3rd Qu.: 1.0200 3rd Qu.: 1.3700
## Max. : 2.78000 Max. : 5.35000 Max. : 4.7200 Max. : 3.3600
## data.5273 data.5274 data.5275 data.5276
## Min. :-1.9450 Min. :-1.4650 Min. :-2.6775 Min. :-2.125
## 1st Qu.:-0.5700 1st Qu.:-0.6000 1st Qu.:-0.7375 1st Qu.:-1.016
## Median : 0.0500 Median : 0.0000 Median : 0.1625 Median : 0.150
## Mean : 0.1592 Mean : 0.3155 Mean : 0.5671 Mean : 0.522
## 3rd Qu.: 0.6975 3rd Qu.: 0.7675 3rd Qu.: 1.7000 3rd Qu.: 1.380
## Max. : 2.5550 Max. : 4.3850 Max. : 5.4825 Max. : 5.195
## data.5277 data.5278 data.5279 data.5280
## Min. :-1.1700 Min. :-0.8300 Min. :-0.9800 Min. :-0.92498
## 1st Qu.:-0.4900 1st Qu.:-0.3125 1st Qu.:-0.4125 1st Qu.:-0.36748
## Median : 0.1225 Median : 0.1150 Median : 0.0400 Median : 0.00000
## Mean : 0.3192 Mean : 0.1382 Mean : 0.0770 Mean : 0.05627
## 3rd Qu.: 0.8300 3rd Qu.: 0.5025 3rd Qu.: 0.3725 3rd Qu.: 0.36502
## Max. : 3.2600 Max. : 1.8600 Max. : 2.4000 Max. : 2.46504
## data.5281 data.5282 data.5283 data.5284
## Min. :-0.930 Min. :-0.74001 Min. :-1.9750 Min. :-0.81000
## 1st Qu.:-0.400 1st Qu.:-0.20502 1st Qu.:-0.4175 1st Qu.:-0.34000
## Median : 0.015 Median : 0.00000 Median :-0.0025 Median : 0.02500
## Mean : 0.040 Mean : 0.05324 Mean :-0.1408 Mean : 0.01425
## 3rd Qu.: 0.275 3rd Qu.: 0.28249 3rd Qu.: 0.4400 3rd Qu.: 0.21500
## Max. : 2.290 Max. : 1.91001 Max. : 1.1050 Max. : 1.47000
## data.5285 data.5286 data.5287 data.5288
## Min. :-0.78500 Min. :-0.9100 Min. :-1.26000 Min. :-1.03000
## 1st Qu.:-0.22500 1st Qu.:-0.3300 1st Qu.:-0.22250 1st Qu.:-0.28000
## Median : 0.10000 Median :-0.0025 Median : 0.03000 Median : 0.00498
## Mean : 0.08125 Mean :-0.0160 Mean :-0.01325 Mean :-0.02900
## 3rd Qu.: 0.35375 3rd Qu.: 0.3375 3rd Qu.: 0.29249 3rd Qu.: 0.28625
## Max. : 0.93502 Max. : 1.1400 Max. : 1.13000 Max. : 1.07000
## data.5289 data.5290 data.5291 data.5292
## Min. :-1.5350000 Min. :-1.8000 Min. :-1.4100 Min. :-2.8000
## 1st Qu.:-0.3775000 1st Qu.:-0.2675 1st Qu.:-0.5125 1st Qu.:-0.9700
## Median :-0.0075000 Median :-0.0575 Median :-0.0300 Median :-0.0675
## Mean : 0.0002485 Mean :-0.1315 Mean :-0.1135 Mean :-0.3380
## 3rd Qu.: 0.5700000 3rd Qu.: 0.2025 3rd Qu.: 0.3200 3rd Qu.: 0.0575
## Max. : 0.9600000 Max. : 0.7900 Max. : 1.4000 Max. : 2.0800
## data.5293 data.5294 data.5295 data.5296
## Min. :-5.2200 Min. :-3.4950 Min. :-1.180010 Min. :-0.6900
## 1st Qu.:-0.8725 1st Qu.:-0.9700 1st Qu.:-0.287510 1st Qu.:-0.2200
## Median :-0.0100 Median : 0.0000 Median :-0.004995 Median : 0.1300
## Mean :-0.3745 Mean :-0.2815 Mean :-0.050136 Mean : 0.2082
## 3rd Qu.: 0.5075 3rd Qu.: 0.4575 3rd Qu.: 0.232485 3rd Qu.: 0.4650
## Max. : 1.4800 Max. : 1.6150 Max. : 0.849990 Max. : 2.6200
## data.5297 data.5298 data.5299 data.5300
## Min. :-3.7100 Min. :-0.9950 Min. :-1.05000 Min. :-0.6550
## 1st Qu.:-0.4225 1st Qu.:-0.1100 1st Qu.:-0.24251 1st Qu.:-0.1100
## Median : 0.4275 Median : 0.0850 Median : 0.00000 Median : 0.0000
## Mean : 0.2032 Mean : 0.1747 Mean : 0.08925 Mean : 0.1126
## 3rd Qu.: 1.0525 3rd Qu.: 0.5000 3rd Qu.: 0.36750 3rd Qu.: 0.3075
## Max. : 4.1450 Max. : 1.2300 Max. : 1.24000 Max. : 1.1400
## data.5301 data.5302 data.5303 data.5304
## Min. :-2.07000 Min. :-1.9800 Min. :-2.39000 Min. :-1.0500
## 1st Qu.:-0.69250 1st Qu.:-0.4825 1st Qu.:-0.55001 1st Qu.:-0.3825
## Median :-0.13500 Median : 0.0000 Median : 0.00000 Median :-0.0400
## Mean : 0.07725 Mean : 0.1930 Mean : 0.06037 Mean : 0.0135
## 3rd Qu.: 0.86500 3rd Qu.: 0.8100 3rd Qu.: 0.83750 3rd Qu.: 0.3000
## Max. : 1.96000 Max. : 1.9400 Max. : 2.90000 Max. : 1.3200
## data.5305 data.5306 data.5307 data.5308
## Min. :-2.32500 Min. :-3.1550 Min. :-3.11000 Min. :-1.14500
## 1st Qu.:-0.74750 1st Qu.:-0.9175 1st Qu.:-0.87000 1st Qu.:-0.32750
## Median :-0.14000 Median : 0.0000 Median : 0.02001 Median :-0.08500
## Mean :-0.02475 Mean :-0.1066 Mean :-0.09188 Mean : 0.04325
## 3rd Qu.: 0.72250 3rd Qu.: 1.0125 3rd Qu.: 0.88000 3rd Qu.: 0.50000
## Max. : 2.03500 Max. : 2.0950 Max. : 2.37000 Max. : 0.96000
## data.5309 data.5310 data.5311 data.5312
## Min. :-1.42498 Min. :-1.16498 Min. :-1.339980 Min. :-0.99998
## 1st Qu.:-0.27750 1st Qu.:-0.16750 1st Qu.:-0.285000 1st Qu.:-0.47500
## Median : 0.00500 Median : 0.04501 Median :-0.020000 Median : 0.00499
## Mean :-0.04425 Mean : 0.01925 Mean : 0.009249 Mean :-0.07025
## 3rd Qu.: 0.16249 3rd Qu.: 0.38750 3rd Qu.: 0.312480 3rd Qu.: 0.32250
## Max. : 0.75500 Max. : 1.16500 Max. : 1.420000 Max. : 0.86000
## data.5313 data.5314 data.5315 data.5316
## Min. :-1.14002 Min. :-1.3000 Min. :-1.5175 Min. :-1.5350
## 1st Qu.:-0.27750 1st Qu.:-0.3800 1st Qu.:-0.1625 1st Qu.:-0.1875
## Median : 0.00750 Median : 0.0000 Median : 0.1925 Median : 0.2300
## Mean : 0.06675 Mean :-0.0475 Mean : 0.1582 Mean : 0.1342
## 3rd Qu.: 0.45999 3rd Qu.: 0.3125 3rd Qu.: 0.5300 3rd Qu.: 0.4900
## Max. : 1.29000 Max. : 1.1900 Max. : 1.5525 Max. : 1.4850
## data.5317 data.5318 data.5319 data.5320
## Min. :-2.19000 Min. :-0.6150 Min. :-1.4600 Min. :-0.78001
## 1st Qu.:-0.23250 1st Qu.:-0.2075 1st Qu.:-0.2675 1st Qu.:-0.55001
## Median : 0.00500 Median : 0.0075 Median : 0.0950 Median :-0.05504
## Mean : 0.08012 Mean : 0.1756 Mean : 0.1105 Mean : 0.15124
## 3rd Qu.: 0.51749 3rd Qu.: 0.5000 3rd Qu.: 0.6075 3rd Qu.: 0.87249
## Max. : 1.56000 Max. : 2.0350 Max. : 1.6350 Max. : 1.59999
## data.5321 data.5322 data.5323 data.5324
## Min. :-1.27499 Min. :-1.82000 Min. :-1.9825 Min. :-2.62000
## 1st Qu.:-0.33749 1st Qu.:-0.52250 1st Qu.:-0.5675 1st Qu.:-0.58501
## Median :-0.02249 Median : 0.00000 Median : 0.0000 Median :-0.01001
## Mean :-0.04049 Mean :-0.06075 Mean :-0.0695 Mean : 0.12600
## 3rd Qu.: 0.20501 3rd Qu.: 0.37250 3rd Qu.: 0.4275 3rd Qu.: 0.86500
## Max. : 1.76501 Max. : 1.79000 Max. : 1.7375 Max. : 2.13000
## data.5325 data.5326 data.5327 data.5328
## Min. :-2.40000 Min. :-1.23002 Min. :-1.2000 Min. :-1.12000
## 1st Qu.:-0.67503 1st Qu.:-0.18500 1st Qu.:-0.2675 1st Qu.:-0.35750
## Median : 0.10500 Median : 0.01000 Median : 0.0950 Median : 0.01500
## Mean : 0.06975 Mean : 0.06312 Mean : 0.0520 Mean : 0.03687
## 3rd Qu.: 0.86500 3rd Qu.: 0.39999 3rd Qu.: 0.3763 3rd Qu.: 0.36250
## Max. : 1.98998 Max. : 1.21000 Max. : 1.2500 Max. : 1.52000
## data.5329 data.5330 data.5331 data.5332
## Min. :-2.77002 Min. :-2.8200 Min. :-2.3200 Min. :-2.44000
## 1st Qu.:-1.02500 1st Qu.:-1.0500 1st Qu.:-0.8125 1st Qu.:-1.41498
## Median : 0.15000 Median : 0.0000 Median : 0.0000 Median : 0.00000
## Mean :-0.06175 Mean :-0.1001 Mean : 0.0860 Mean :-0.05638
## 3rd Qu.: 0.83500 3rd Qu.: 0.8950 3rd Qu.: 0.8350 3rd Qu.: 0.98500
## Max. : 2.28000 Max. : 2.9550 Max. : 2.9000 Max. : 2.91500
## data.5333 data.5334 data.5335 data.5336
## Min. :-1.4200 Min. :-1.8200 Min. :-1.0600 Min. :-1.5600
## 1st Qu.:-0.2900 1st Qu.:-0.4900 1st Qu.:-0.3775 1st Qu.:-0.9175
## Median : 0.0800 Median : 0.2900 Median : 0.0600 Median : 0.0000
## Mean : 0.2120 Mean : 0.2587 Mean : 0.3416 Mean : 0.5270
## 3rd Qu.: 0.6525 3rd Qu.: 0.8225 3rd Qu.: 0.8225 3rd Qu.: 1.2075
## Max. : 3.7600 Max. : 3.9100 Max. : 2.4600 Max. : 4.0300
## data.5337 data.5338 data.5339 data.5340
## Min. :-1.3050 Min. :-1.5350 Min. :-3.2900 Min. :-2.4500
## 1st Qu.:-0.6475 1st Qu.:-0.4800 1st Qu.:-0.6675 1st Qu.:-0.3700
## Median : 0.0000 Median : 0.0000 Median : 0.1600 Median : 0.0000
## Mean : 0.5300 Mean : 0.4070 Mean : 0.0195 Mean : 0.2990
## 3rd Qu.: 1.1250 3rd Qu.: 0.9675 3rd Qu.: 0.8125 3rd Qu.: 0.9525
## Max. : 3.8850 Max. : 3.2250 Max. : 2.4300 Max. : 2.4900
## data.5341 data.5342 data.5343 data.5344
## Min. :-1.5125 Min. :-1.33502 Min. :-1.5150 Min. :-2.1750
## 1st Qu.:-0.4450 1st Qu.:-0.59750 1st Qu.:-0.4650 1st Qu.:-0.6450
## Median : 0.3225 Median : 0.10751 Median : 0.1100 Median : 0.0325
## Mean : 0.2273 Mean : 0.07225 Mean : 0.5184 Mean : 0.4995
## 3rd Qu.: 0.8150 3rd Qu.: 0.64500 3rd Qu.: 1.8325 3rd Qu.: 2.1462
## Max. : 1.7075 Max. : 1.46500 Max. : 3.3550 Max. : 4.2450
## data.5345 data.5346 data.5347 data.5348
## Min. :-2.214981 Min. :-1.50000 Min. :-1.75000 Min. :-2.88000
## 1st Qu.:-0.482485 1st Qu.:-0.56500 1st Qu.:-0.66250 1st Qu.:-0.64500
## Median : 0.245020 Median :-0.12749 Median : 0.08501 Median : 0.00000
## Mean :-0.008358 Mean :-0.02825 Mean : 0.01425 Mean :-0.02325
## 3rd Qu.: 0.547520 3rd Qu.: 0.53372 3rd Qu.: 0.49000 3rd Qu.: 0.52000
## Max. : 1.820019 Max. : 1.93000 Max. : 1.94000 Max. : 2.66000
## data.5349 data.5350 data.5351 data.5352
## Min. :-1.5300 Min. :-1.13500 Min. :-3.1800 Min. :-1.9700
## 1st Qu.:-0.5650 1st Qu.:-0.47250 1st Qu.:-0.7450 1st Qu.:-0.3137
## Median :-0.0500 Median :-0.03500 Median : 0.0000 Median : 0.0700
## Mean :-0.1045 Mean :-0.04125 Mean : 0.1955 Mean : 0.0530
## 3rd Qu.: 0.2950 3rd Qu.: 0.32499 3rd Qu.: 1.2400 3rd Qu.: 0.3850
## Max. : 1.5400 Max. : 1.30500 Max. : 3.2800 Max. : 2.9500
## data.5353 data.5354 data.5355 data.5356
## Min. :-4.54502 Min. :-3.33498 Min. :-1.5150 Min. :-1.24502
## 1st Qu.:-1.33750 1st Qu.:-0.80998 1st Qu.:-0.2150 1st Qu.:-0.43750
## Median : 0.61001 Median : 0.07751 Median : 0.2550 Median : 0.06999
## Mean : 0.04937 Mean : 0.18589 Mean : 0.1477 Mean : 0.03450
## 3rd Qu.: 1.66125 3rd Qu.: 1.18502 3rd Qu.: 0.6150 3rd Qu.: 0.53500
## Max. : 3.65500 Max. : 3.72502 Max. : 1.6250 Max. : 1.10500
## data.5357 data.5358 data.5359 data.5360
## Min. :-2.0850 Min. :-1.9900 Min. :-1.7200 Min. :-0.7550
## 1st Qu.:-0.7300 1st Qu.:-0.3075 1st Qu.:-0.4700 1st Qu.:-0.1288
## Median : 0.0750 Median : 0.1575 Median : 0.2400 Median : 0.1150
## Mean : 0.4931 Mean : 0.1305 Mean : 0.3032 Mean : 0.1329
## 3rd Qu.: 1.3175 3rd Qu.: 0.6450 3rd Qu.: 1.0150 3rd Qu.: 0.3600
## Max. : 4.4450 Max. : 1.5300 Max. : 2.1700 Max. : 1.1350
## data.5361 data.5362 data.5363 data.5364
## Min. :-1.8150 Min. :-1.190 Min. :-2.25002 Min. :-2.47994
## 1st Qu.:-0.2925 1st Qu.:-0.410 1st Qu.:-0.58002 1st Qu.:-0.54996
## Median : 0.1400 Median : 0.000 Median :-0.07002 Median : 0.06004
## Mean : 0.2242 Mean : 0.396 Mean :-0.09177 Mean : 0.01816
## 3rd Qu.: 0.6887 3rd Qu.: 0.790 3rd Qu.: 0.32873 3rd Qu.: 0.71254
## Max. : 2.2050 Max. : 5.390 Max. : 1.70996 Max. : 3.55002
## data.5365 data.5366 data.5367 data.5368
## Min. :-2.22001 Min. :-1.2600 Min. :-2.9600 Min. :-2.5700
## 1st Qu.:-0.67753 1st Qu.:-0.4725 1st Qu.:-0.3950 1st Qu.:-0.8025
## Median : 0.07999 Median :-0.0700 Median : 0.0000 Median : 0.0000
## Mean : 0.25861 Mean : 0.1444 Mean : 0.1951 Mean :-0.2210
## 3rd Qu.: 1.39249 3rd Qu.: 0.6250 3rd Qu.: 0.8050 3rd Qu.: 0.3438
## Max. : 2.82999 Max. : 2.3600 Max. : 2.9100 Max. : 1.3700
## data.5369 data.5370 data.5371 data.5372
## Min. :-1.340010 Min. :-1.1600 Min. :-1.2250 Min. :-1.2200
## 1st Qu.:-0.540010 1st Qu.:-0.3450 1st Qu.:-0.2700 1st Qu.:-0.3875
## Median : 0.004995 Median : 0.3650 Median : 0.0400 Median : 0.1200
## Mean :-0.032511 Mean : 0.3249 Mean : 0.1195 Mean : 0.2069
## 3rd Qu.: 0.379990 3rd Qu.: 0.9613 3rd Qu.: 0.6475 3rd Qu.: 0.5800
## Max. : 1.419990 Max. : 2.0300 Max. : 1.7650 Max. : 1.9700
## data.5373 data.5374 data.5375 data.5376
## Min. :-2.76502 Min. :-1.91998 Min. :-2.4850 Min. :-2.61002
## 1st Qu.:-0.35500 1st Qu.:-0.37000 1st Qu.:-0.3200 1st Qu.:-0.43500
## Median : 0.14500 Median : 0.06500 Median : 0.3950 Median : 0.02000
## Mean : 0.05325 Mean : 0.08375 Mean : 0.2352 Mean : 0.03687
## 3rd Qu.: 0.88750 3rd Qu.: 0.62374 3rd Qu.: 0.9712 3rd Qu.: 0.73000
## Max. : 1.38500 Max. : 1.98000 Max. : 2.0750 Max. : 2.22000
## data.5377 data.5378 data.5379 data.5380
## Min. :-2.63000 Min. :-2.1300 Min. :-2.1000 Min. :-2.1300
## 1st Qu.:-0.87001 1st Qu.:-0.4175 1st Qu.:-0.4475 1st Qu.:-0.3175
## Median : 0.00500 Median : 0.0425 Median : 0.0000 Median : 0.2925
## Mean : 0.07062 Mean : 0.0740 Mean : 0.0230 Mean : 0.1292
## 3rd Qu.: 1.00375 3rd Qu.: 0.8025 3rd Qu.: 0.6200 3rd Qu.: 0.8375
## Max. : 2.45000 Max. : 2.0300 Max. : 1.8300 Max. : 1.3900
## data.5381 data.5382 data.5383 data.5384
## Min. :-2.05999 Min. :-3.3200 Min. :-3.860000 Min. :-5.5225
## 1st Qu.:-0.36624 1st Qu.:-0.4000 1st Qu.:-0.199995 1st Qu.:-0.2875
## Median : 0.04001 Median : 0.0000 Median : 0.195000 Median : 0.1325
## Mean :-0.17924 Mean :-0.1479 Mean :-0.006001 Mean :-0.0395
## 3rd Qu.: 0.35501 3rd Qu.: 0.3925 3rd Qu.: 0.605000 3rd Qu.: 0.6200
## Max. : 0.97001 Max. : 1.6300 Max. : 3.069980 Max. : 3.1375
## data.5385 data.5386 data.5387 data.5388
## Min. :-4.3850 Min. :-3.12500 Min. :-2.1500 Min. :-2.0600
## 1st Qu.:-0.1875 1st Qu.:-0.31751 1st Qu.:-0.8300 1st Qu.:-0.5675
## Median : 0.1425 Median : 0.01500 Median : 0.0000 Median : 0.3050
## Mean :-0.0210 Mean :-0.07125 Mean : 0.2424 Mean : 0.4530
## 3rd Qu.: 0.5650 3rd Qu.: 0.43375 3rd Qu.: 1.1525 3rd Qu.: 1.2350
## Max. : 2.9050 Max. : 1.97502 Max. : 3.9500 Max. : 4.8500
## data.5389 data.5390 data.5391 data.5392
## Min. :-1.3450 Min. :-1.78250 Min. :-2.1800 Min. :-1.5650
## 1st Qu.:-0.5525 1st Qu.:-0.19375 1st Qu.:-0.4750 1st Qu.:-0.6675
## Median : 0.0000 Median : 0.07251 Median : 0.1200 Median : 0.0075
## Mean : 0.1961 Mean : 0.28900 Mean : 0.3081 Mean : 0.5507
## 3rd Qu.: 0.6200 3rd Qu.: 0.86000 3rd Qu.: 0.9025 3rd Qu.: 1.2300
## Max. : 3.9600 Max. : 2.66748 Max. : 4.1800 Max. : 5.0750
## data.5393 data.5394 data.5395 data.5396
## Min. :-0.83500 Min. :-1.2050 Min. :-0.6850 Min. :-0.8600
## 1st Qu.:-0.19250 1st Qu.:-0.3125 1st Qu.:-0.2750 1st Qu.:-0.4375
## Median : 0.00000 Median : 0.1050 Median : 0.1750 Median : 0.0000
## Mean : 0.08075 Mean : 0.1590 Mean : 0.1217 Mean : 0.0335
## 3rd Qu.: 0.30500 3rd Qu.: 0.4900 3rd Qu.: 0.3975 3rd Qu.: 0.5125
## Max. : 1.54998 Max. : 2.5750 Max. : 0.9050 Max. : 1.2700
## data.5397 data.5398 data.5399 data.5400
## Min. :-1.12500 Min. :-1.695000 Min. :-1.155000 Min. :-1.51000
## 1st Qu.:-0.41250 1st Qu.:-0.369995 1st Qu.:-0.310000 1st Qu.:-0.35500
## Median : 0.01498 Median : 0.030000 Median : 0.015000 Median :-0.00500
## Mean :-0.02175 Mean : 0.005498 Mean : 0.001873 Mean :-0.03975
## 3rd Qu.: 0.26250 3rd Qu.: 0.320000 3rd Qu.: 0.465000 3rd Qu.: 0.18500
## Max. : 1.26000 Max. : 1.490000 Max. : 1.610000 Max. : 1.04000
## data.5401 data.5402 data.5403
## Min. :-1.1700000 Min. :-1.17996 Min. :-0.900000
## 1st Qu.:-0.3775000 1st Qu.:-0.33372 1st Qu.:-0.072500
## Median :-0.0000098 Median :-0.01997 Median : 0.080000
## Mean :-0.0286265 Mean :-0.02096 Mean : 0.004624
## 3rd Qu.: 0.4025000 3rd Qu.: 0.28504 3rd Qu.: 0.190000
## Max. : 1.1900000 Max. : 1.54002 Max. : 0.740000
## data.5404 data.5405 data.5406 data.5407
## Min. :-1.309980 Min. :-0.6300 Min. :-3.27500 Min. :-0.6800
## 1st Qu.:-0.215015 1st Qu.:-0.1588 1st Qu.:-0.58750 1st Qu.:-0.1925
## Median : 0.032500 Median : 0.0150 Median : 0.11500 Median : 0.0550
## Mean : 0.009999 Mean : 0.0480 Mean :-0.06425 Mean : 0.0950
## 3rd Qu.: 0.312500 3rd Qu.: 0.3275 3rd Qu.: 0.42000 3rd Qu.: 0.3200
## Max. : 0.790000 Max. : 0.8500 Max. : 3.06498 Max. : 1.3200
## data.5408 data.5409 data.5410 data.5411
## Min. :-1.1000 Min. :-0.90000 Min. :-1.3300 Min. :-1.1550
## 1st Qu.:-0.3850 1st Qu.:-0.03250 1st Qu.:-0.1650 1st Qu.:-0.3300
## Median : 0.0150 Median : 0.07500 Median : 0.0550 Median : 0.0750
## Mean : 0.1409 Mean : 0.09012 Mean : 0.1164 Mean : 0.2812
## 3rd Qu.: 0.6325 3rd Qu.: 0.29250 3rd Qu.: 0.4088 3rd Qu.: 0.8612
## Max. : 1.9900 Max. : 0.99000 Max. : 1.6100 Max. : 2.7850
## data.5412 data.5413 data.5414 data.5415
## Min. :-2.66000 Min. :-3.3400 Min. :-3.00000 Min. :-2.4700
## 1st Qu.:-0.60500 1st Qu.:-0.5325 1st Qu.:-0.76501 1st Qu.:-0.9813
## Median : 0.08999 Median : 0.0400 Median : 0.00000 Median :-0.1550
## Mean : 0.46337 Mean :-0.1235 Mean :-0.07925 Mean :-0.1000
## 3rd Qu.: 1.33250 3rd Qu.: 0.5513 3rd Qu.: 0.64500 3rd Qu.: 0.5300
## Max. : 4.26000 Max. : 1.4200 Max. : 3.34000 Max. : 2.7800
## data.5416 data.5417 data.5418 data.5419
## Min. :-2.2650 Min. :-2.9200 Min. :-0.81000 Min. :-1.19998
## 1st Qu.:-0.3750 1st Qu.:-1.0075 1st Qu.:-0.16003 1st Qu.:-0.29248
## Median : 0.0150 Median : 0.2800 Median :-0.02000 Median : 0.09002
## Mean : 0.0275 Mean : 0.3024 Mean : 0.07812 Mean : 0.21402
## 3rd Qu.: 0.4750 3rd Qu.: 1.7450 3rd Qu.: 0.17999 3rd Qu.: 0.69752
## Max. : 1.9050 Max. : 4.3000 Max. : 1.77000 Max. : 2.19002
## data.5420 data.5421 data.5422 data.5423
## Min. :-2.38000 Min. :-1.12998 Min. :-1.01500 Min. :-2.1000
## 1st Qu.:-0.53000 1st Qu.:-0.27496 1st Qu.:-0.19250 1st Qu.:-0.4775
## Median : 0.00000 Median : 0.00000 Median : 0.02750 Median : 0.0000
## Mean : 0.07025 Mean : 0.04077 Mean : 0.05562 Mean :-0.0360
## 3rd Qu.: 0.66250 3rd Qu.: 0.37002 3rd Qu.: 0.32750 3rd Qu.: 0.5525
## Max. : 2.35000 Max. : 1.42002 Max. : 1.20500 Max. : 1.7500
## data.5424 data.5425 data.5426 data.5427
## Min. :-3.14000 Min. :-0.8800 Min. :-0.97001 Min. :-1.28502
## 1st Qu.:-0.81250 1st Qu.:-0.2025 1st Qu.:-0.32251 1st Qu.:-0.25750
## Median : 0.05498 Median : 0.2000 Median :-0.03002 Median :-0.09500
## Mean :-0.07800 Mean : 0.2759 Mean : 0.06174 Mean : 0.01525
## 3rd Qu.: 0.74750 3rd Qu.: 0.6425 3rd Qu.: 0.47499 3rd Qu.: 0.37500
## Max. : 2.67000 Max. : 3.0400 Max. : 1.70999 Max. : 1.22500
## data.5428 data.5429 data.5430 data.5431
## Min. :-3.4100 Min. :-4.1500 Min. :-3.0350 Min. :-1.4300
## 1st Qu.:-0.8525 1st Qu.:-1.7750 1st Qu.:-0.8150 1st Qu.:-0.2925
## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median : 0.0525
## Mean :-0.1136 Mean :-0.5228 Mean :-0.1733 Mean : 0.2402
## 3rd Qu.: 0.4500 3rd Qu.: 0.6913 3rd Qu.: 0.5125 3rd Qu.: 0.7050
## Max. : 1.8300 Max. : 2.2250 Max. : 1.7150 Max. : 3.2800
## data.5432 data.5433 data.5434 data.5435
## Min. :-0.78002 Min. :-1.0300 Min. :-2.950 Min. :-1.8400
## 1st Qu.:-0.19252 1st Qu.:-0.2050 1st Qu.:-0.505 1st Qu.:-0.1350
## Median : 0.04496 Median : 0.0000 Median : 0.240 Median : 0.0000
## Mean : 0.13298 Mean : 0.1456 Mean : 0.153 Mean : 0.3109
## 3rd Qu.: 0.34998 3rd Qu.: 0.3450 3rd Qu.: 1.032 3rd Qu.: 0.8800
## Max. : 1.31998 Max. : 2.5600 Max. : 3.430 Max. : 3.2250
## data.5436 data.5437 data.5438 data.5439
## Min. :-1.45998 Min. :-1.3200 Min. :-2.02000 Min. :-1.67500
## 1st Qu.:-0.18999 1st Qu.:-0.2425 1st Qu.:-0.32001 1st Qu.:-0.40748
## Median : 0.08502 Median : 0.1550 Median : 0.00000 Median : 0.03500
## Mean :-0.03673 Mean : 0.0715 Mean :-0.02488 Mean : 0.07052
## 3rd Qu.: 0.30252 3rd Qu.: 0.4900 3rd Qu.: 0.35000 3rd Qu.: 0.51002
## Max. : 0.76002 Max. : 1.5200 Max. : 1.30000 Max. : 1.61502
## data.5440 data.5441 data.5442 data.5443
## Min. :-1.3400 Min. :-1.23998 Min. :-1.5700 Min. :-1.72000
## 1st Qu.:-0.2975 1st Qu.:-0.22000 1st Qu.:-0.2450 1st Qu.:-0.05375
## Median : 0.1850 Median : 0.01500 Median : 0.1700 Median : 0.13500
## Mean : 0.1777 Mean : 0.01962 Mean : 0.1685 Mean : 0.15550
## 3rd Qu.: 0.4975 3rd Qu.: 0.12500 3rd Qu.: 0.6500 3rd Qu.: 0.45999
## Max. : 1.8000 Max. : 1.49000 Max. : 1.9600 Max. : 1.54000
## data.5444 data.5445 data.5446 data.5447
## Min. :-2.8650 Min. :-1.2350 Min. :-1.49250 Min. :-0.86000
## 1st Qu.:-0.1075 1st Qu.:-0.1875 1st Qu.:-0.28750 1st Qu.:-0.17501
## Median : 0.1300 Median : 0.0275 Median : 0.05249 Median : 0.03500
## Mean : 0.2256 Mean : 0.3337 Mean : 0.05250 Mean : 0.03025
## 3rd Qu.: 0.8350 3rd Qu.: 0.9537 3rd Qu.: 0.38000 3rd Qu.: 0.29750
## Max. : 2.2050 Max. : 3.1050 Max. : 1.46750 Max. : 0.87998
## data.5448 data.5449 data.5450 data.5451
## Min. :-1.3350 Min. :-0.7700 Min. :-1.58001 Min. :-1.19000
## 1st Qu.:-0.3113 1st Qu.:-0.3675 1st Qu.:-0.36251 1st Qu.:-0.44001
## Median : 0.0275 Median :-0.0250 Median : 0.04499 Median :-0.01500
## Mean : 0.0530 Mean : 0.0655 Mean : 0.08624 Mean : 0.04862
## 3rd Qu.: 0.3800 3rd Qu.: 0.5325 3rd Qu.: 0.57000 3rd Qu.: 0.52749
## Max. : 0.9950 Max. : 1.1500 Max. : 1.67999 Max. : 1.46000
## data.5452 data.5453 data.5454 data.5455
## Min. :-1.0050000 Min. :-1.44000 Min. :-1.53500 Min. :-0.73500
## 1st Qu.:-0.5112500 1st Qu.:-0.47750 1st Qu.:-0.34750 1st Qu.:-0.30000
## Median : 0.0500000 Median : 0.03500 Median :-0.02500 Median : 0.02251
## Mean : 0.0007485 Mean : 0.04025 Mean : 0.04775 Mean : 0.03412
## 3rd Qu.: 0.3900000 3rd Qu.: 0.58250 3rd Qu.: 0.44001 3rd Qu.: 0.30500
## Max. : 1.3250000 Max. : 1.27000 Max. : 1.35500 Max. : 0.91500
## data.5456 data.5457 data.5458 data.5459
## Min. :-4.3550 Min. :-4.5250 Min. :-2.28000 Min. :-2.38501
## 1st Qu.:-0.8175 1st Qu.:-0.7000 1st Qu.:-0.39500 1st Qu.:-0.75001
## Median : 0.1650 Median : 0.1450 Median : 0.08500 Median : 0.03999
## Mean :-0.1718 Mean :-0.1993 Mean :-0.06725 Mean :-0.03514
## 3rd Qu.: 0.5325 3rd Qu.: 0.5425 3rd Qu.: 0.55499 3rd Qu.: 0.63249
## Max. : 1.5550 Max. : 1.3600 Max. : 1.29500 Max. : 1.39501
## data.5460 data.5461 data.5462 data.5463
## Min. :-2.05001 Min. :-2.8800 Min. :-1.02000 Min. :-2.3250
## 1st Qu.:-0.34876 1st Qu.:-0.6425 1st Qu.:-0.28000 1st Qu.:-0.6350
## Median :-0.02000 Median : 0.0000 Median : 0.00000 Median : 0.1125
## Mean :-0.07001 Mean :-0.1206 Mean : 0.03675 Mean :-0.1698
## 3rd Qu.: 0.33000 3rd Qu.: 0.6875 3rd Qu.: 0.33625 3rd Qu.: 0.3850
## Max. : 1.25999 Max. : 1.4900 Max. : 1.94000 Max. : 1.2950
## data.5464 data.5465 data.5466 data.5467
## Min. :-0.9700 Min. :-1.44000 Min. :-0.8849805 Min. :-3.54998
## 1st Qu.:-0.2725 1st Qu.:-0.17500 1st Qu.:-0.2150000 1st Qu.:-2.02998
## Median : 0.0900 Median : 0.06998 Median : 0.0000000 Median : 0.09001
## Mean : 0.1185 Mean : 0.11125 Mean : 0.0002485 Mean :-0.36673
## 3rd Qu.: 0.4437 3rd Qu.: 0.40000 3rd Qu.: 0.2437500 3rd Qu.: 1.01752
## Max. : 1.5300 Max. : 2.18000 Max. : 0.7950000 Max. : 1.69002
## data.5468 data.5469 data.5470 data.5471
## Min. :-1.82000 Min. :-1.0550 Min. :-0.9950 Min. :-1.09000
## 1st Qu.:-0.47250 1st Qu.:-0.1050 1st Qu.:-0.4475 1st Qu.:-0.33000
## Median : 0.04500 Median : 0.2050 Median : 0.0950 Median : 0.04000
## Mean : 0.06112 Mean : 0.2390 Mean : 0.1307 Mean : 0.05925
## 3rd Qu.: 0.70500 3rd Qu.: 0.7163 3rd Qu.: 0.7388 3rd Qu.: 0.51000
## Max. : 2.16000 Max. : 1.6450 Max. : 1.6350 Max. : 1.22000
## data.5472 data.5473 data.5474 data.5475
## Min. :-4.06000 Min. :-0.89999 Min. :-0.9900000 Min. :-1.4900
## 1st Qu.:-1.20999 1st Qu.:-0.21499 1st Qu.:-0.3287500 1st Qu.:-0.4750
## Median : 0.00000 Median : 0.02000 Median :-0.0000098 Median : 0.0000
## Mean :-0.04162 Mean : 0.02738 Mean : 0.0032485 Mean : 0.1025
## 3rd Qu.: 0.61500 3rd Qu.: 0.29750 3rd Qu.: 0.3012500 3rd Qu.: 0.6200
## Max. : 4.14000 Max. : 0.85001 Max. : 1.3300000 Max. : 2.4500
## data.5476 data.5477 data.5478 data.5479
## Min. :-1.2200 Min. :-3.6950 Min. :-1.56500 Min. :-1.01000
## 1st Qu.:-0.2425 1st Qu.:-1.0875 1st Qu.:-0.41750 1st Qu.:-0.50000
## Median : 0.0000 Median : 0.0000 Median : 0.08501 Median : 0.00000
## Mean : 0.5859 Mean : 0.1573 Mean : 0.29462 Mean :-0.07563
## 3rd Qu.: 0.8912 3rd Qu.: 1.1575 3rd Qu.: 1.14500 3rd Qu.: 0.29250
## Max. : 5.2500 Max. : 3.9250 Max. : 3.15500 Max. : 1.28000
## data.5480 data.5481 data.5482 data.5483
## Min. :-1.0800 Min. :-2.0000 Min. :-1.0550 Min. :-1.89000
## 1st Qu.:-0.3962 1st Qu.:-0.5975 1st Qu.:-0.3025 1st Qu.:-0.37500
## Median :-0.1000 Median : 0.0000 Median : 0.0000 Median :-0.07500
## Mean :-0.0520 Mean : 0.5760 Mean : 0.1832 Mean :-0.06163
## 3rd Qu.: 0.3150 3rd Qu.: 1.9325 3rd Qu.: 0.5475 3rd Qu.: 0.36750
## Max. : 1.2700 Max. : 4.6300 Max. : 2.1300 Max. : 1.54000
## data.5484 data.5485 data.5486 data.5487
## Min. :-0.70998 Min. :-1.4800 Min. :-1.6700 Min. :-0.69499
## 1st Qu.:-0.17250 1st Qu.:-0.1650 1st Qu.:-0.2525 1st Qu.:-0.21749
## Median : 0.03499 Median : 0.1400 Median : 0.0800 Median : 0.12002
## Mean : 0.11762 Mean : 0.1174 Mean : 0.0680 Mean : 0.08626
## 3rd Qu.: 0.45000 3rd Qu.: 0.4275 3rd Qu.: 0.4750 3rd Qu.: 0.30751
## Max. : 0.86000 Max. : 0.9600 Max. : 1.3400 Max. : 1.66501
## data.5488 data.5489 data.5490 data.5491
## Min. :-1.9700 Min. :-3.09002 Min. :-2.235000 Min. :-1.5550
## 1st Qu.:-0.5550 1st Qu.:-1.23000 1st Qu.:-0.888750 1st Qu.:-0.3425
## Median : 0.0000 Median : 0.03500 Median : 0.054990 Median : 0.2350
## Mean : 0.1854 Mean :-0.06525 Mean :-0.003501 Mean : 0.1073
## 3rd Qu.: 0.9525 3rd Qu.: 1.18002 3rd Qu.: 0.837505 3rd Qu.: 0.5450
## Max. : 2.2900 Max. : 2.59000 Max. : 2.045000 Max. : 1.0650
## data.5492 data.5493 data.5494 data.5495
## Min. :-1.7500 Min. :-2.410000 Min. :-1.5750 Min. :-1.1600
## 1st Qu.:-0.4375 1st Qu.:-0.417500 1st Qu.:-0.3600 1st Qu.:-0.5150
## Median : 0.1550 Median : 0.110000 Median : 0.0225 Median : 0.2900
## Mean : 0.0740 Mean :-0.008877 Mean : 0.2451 Mean : 0.2821
## 3rd Qu.: 0.5450 3rd Qu.: 0.547485 3rd Qu.: 1.0075 3rd Qu.: 0.9075
## Max. : 1.1000 Max. : 1.615000 Max. : 2.2850 Max. : 1.9450
## data.5496 data.5497 data.5498 data.5499
## Min. :-3.5600 Min. :-0.5450 Min. :-0.8700 Min. :-0.62000
## 1st Qu.:-1.2375 1st Qu.:-0.1675 1st Qu.:-0.1000 1st Qu.:-0.15500
## Median : 0.1450 Median : 0.1150 Median : 0.1500 Median : 0.09000
## Mean : 0.0445 Mean : 0.1220 Mean : 0.2369 Mean : 0.09662
## 3rd Qu.: 1.3875 3rd Qu.: 0.4000 3rd Qu.: 0.5713 3rd Qu.: 0.32500
## Max. : 2.8300 Max. : 1.5050 Max. : 2.0300 Max. : 0.82000
## data.5500 data.5501 data.5502 data.5503
## Min. :-1.0000 Min. :-1.16502 Min. :-0.72000 Min. :-1.20004
## 1st Qu.:-0.3175 1st Qu.:-0.25750 1st Qu.:-0.22500 1st Qu.:-0.34500
## Median : 0.1350 Median : 0.06500 Median : 0.03000 Median : 0.03999
## Mean : 0.1272 Mean : 0.07087 Mean : 0.05575 Mean : 0.08325
## 3rd Qu.: 0.4375 3rd Qu.: 0.45750 3rd Qu.: 0.32500 3rd Qu.: 0.30000
## Max. : 1.5050 Max. : 1.29000 Max. : 1.07000 Max. : 2.56000
## data.5504 data.5505 data.5506 data.5507
## Min. :-1.28499 Min. :-1.12000 Min. :-1.1800 Min. :-4.35999
## 1st Qu.:-0.20749 1st Qu.:-0.25000 1st Qu.:-0.4625 1st Qu.:-0.91751
## Median : 0.00000 Median : 0.05499 Median : 0.0000 Median : 0.05001
## Mean : 0.08138 Mean : 0.06200 Mean : 0.7906 Mean :-0.07124
## 3rd Qu.: 0.31750 3rd Qu.: 0.37750 3rd Qu.: 1.3325 3rd Qu.: 0.81252
## Max. : 2.31501 Max. : 1.82500 Max. : 5.1500 Max. : 3.48001
## data.5508 data.5509 data.5510 data.5511
## Min. :-2.1800 Min. :-3.7100 Min. :-4.0700 Min. :-1.8900
## 1st Qu.:-0.2475 1st Qu.:-0.7175 1st Qu.:-0.6000 1st Qu.:-1.1350
## Median : 0.3950 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean : 0.3014 Mean :-0.1856 Mean : 0.1229 Mean : 0.1036
## 3rd Qu.: 1.0500 3rd Qu.: 0.6825 3rd Qu.: 0.7750 3rd Qu.: 0.9150
## Max. : 2.4400 Max. : 1.9100 Max. : 5.9750 Max. : 3.2200
## data.5512 data.5513 data.5514 data.5515
## Min. :-1.035010 Min. :-2.93502 Min. :-3.09002 Min. :-1.72499
## 1st Qu.:-0.507510 1st Qu.:-0.95500 1st Qu.:-0.92250 1st Qu.:-0.26749
## Median : 0.007495 Median :-0.06251 Median :-0.21503 Median :-0.01500
## Mean :-0.023636 Mean :-0.06013 Mean :-0.07675 Mean : 0.01176
## 3rd Qu.: 0.567490 3rd Qu.: 0.86000 3rd Qu.: 0.98750 3rd Qu.: 0.36251
## Max. : 1.094990 Max. : 1.90500 Max. : 1.93000 Max. : 1.45001
## data.5516 data.5517 data.5518 data.5519
## Min. :-1.28498 Min. :-1.3000 Min. :-0.81000 Min. :-0.920000
## 1st Qu.:-0.34251 1st Qu.:-0.3325 1st Qu.:-0.15001 1st Qu.:-0.171245
## Median :-0.00500 Median : 0.0050 Median : 0.00000 Median : 0.000000
## Mean :-0.01675 Mean : 0.0360 Mean : 0.06675 Mean :-0.008001
## 3rd Qu.: 0.36250 3rd Qu.: 0.4250 3rd Qu.: 0.26750 3rd Qu.: 0.217500
## Max. : 1.45000 Max. : 1.5350 Max. : 1.11000 Max. : 0.890000
## data.5520 data.5521 data.5522 data.5523
## Min. :-1.7150 Min. :-1.7801 Min. :-2.7200 Min. :-2.04500
## 1st Qu.:-0.4200 1st Qu.:-0.5250 1st Qu.:-1.3000 1st Qu.:-1.00249
## Median : 0.0150 Median : 0.0000 Median : 0.0600 Median :-0.07500
## Mean : 0.0290 Mean : 0.1684 Mean :-0.1383 Mean :-0.06675
## 3rd Qu.: 0.3825 3rd Qu.: 0.9125 3rd Qu.: 0.9800 3rd Qu.: 0.79000
## Max. : 1.9200 Max. : 2.3900 Max. : 2.3600 Max. : 2.32500
## data.5524 data.5525 data.5526 data.5527
## Min. :-0.7100 Min. :-0.68998 Min. :-1.06000 Min. :-0.61000
## 1st Qu.:-0.2100 1st Qu.:-0.31753 1st Qu.:-0.35750 1st Qu.:-0.27501
## Median : 0.0300 Median :-0.04000 Median : 0.00000 Median : 0.00000
## Mean : 0.2689 Mean : 0.09325 Mean : 0.09725 Mean : 0.06375
## 3rd Qu.: 0.8675 3rd Qu.: 0.42500 3rd Qu.: 0.52250 3rd Qu.: 0.35999
## Max. : 2.2850 Max. : 2.02000 Max. : 2.08000 Max. : 1.22000
## data.5528 data.5529 data.5530 data.5531
## Min. :-2.750020 Min. :-3.71502 Min. :-1.275020 Min. :-0.84000
## 1st Qu.:-0.337500 1st Qu.:-0.58500 1st Qu.:-0.405000 1st Qu.:-0.20250
## Median : 0.334981 Median : 0.42498 Median : 0.087500 Median : 0.06001
## Mean :-0.000501 Mean :-0.05663 Mean : 0.002998 Mean : 0.06425
## 3rd Qu.: 0.907500 3rd Qu.: 1.00750 3rd Qu.: 0.305000 3rd Qu.: 0.33250
## Max. : 2.065000 Max. : 2.24500 Max. : 1.730000 Max. : 1.11500
## data.5532 data.5533 data.5534 data.5535
## Min. :-0.75499 Min. :-2.8800 Min. :-3.2600 Min. :-3.1100
## 1st Qu.:-0.21999 1st Qu.:-1.0250 1st Qu.:-0.6362 1st Qu.:-0.9475
## Median : 0.00000 Median : 0.0000 Median : 0.1750 Median : 0.0400
## Mean : 0.03576 Mean : 0.1484 Mean :-0.2083 Mean :-0.3035
## 3rd Qu.: 0.31751 3rd Qu.: 1.5800 3rd Qu.: 0.4838 3rd Qu.: 0.3650
## Max. : 0.99001 Max. : 3.2300 Max. : 1.6400 Max. : 1.3050
## data.5536 data.5537 data.5538 data.5539
## Min. :-3.57001 Min. :-2.41498 Min. :-1.2850 Min. :-2.27500
## 1st Qu.:-0.71001 1st Qu.:-0.78498 1st Qu.:-0.4850 1st Qu.:-0.85499
## Median : 0.08000 Median :-0.03749 Median : 0.2200 Median :-0.07250
## Mean :-0.04226 Mean :-0.09148 Mean : 0.2199 Mean :-0.08663
## 3rd Qu.: 0.91499 3rd Qu.: 0.43502 3rd Qu.: 0.8375 3rd Qu.: 0.59251
## Max. : 2.59999 Max. : 1.87502 Max. : 2.5900 Max. : 1.83500
## data.5540 data.5541 data.5542 data.5543
## Min. :-2.2200 Min. :-2.26004 Min. :-2.7400 Min. :-2.16002
## 1st Qu.:-1.1200 1st Qu.:-0.52252 1st Qu.:-0.6225 1st Qu.:-0.79250
## Median : 0.0250 Median : 0.00000 Median :-0.1900 Median :-0.11999
## Mean : 0.1087 Mean :-0.02777 Mean :-0.1028 Mean :-0.05938
## 3rd Qu.: 1.3975 3rd Qu.: 0.22748 3rd Qu.: 0.4050 3rd Qu.: 0.81875
## Max. : 2.6500 Max. : 1.51998 Max. : 1.7800 Max. : 2.09000
## data.5544 data.5545 data.5546 data.5547
## Min. :-1.2500 Min. :-1.44500 Min. :-1.7400 Min. :-1.7400
## 1st Qu.:-0.4175 1st Qu.:-0.39752 1st Qu.:-0.3775 1st Qu.:-0.5600
## Median : 0.0300 Median : 0.03999 Median : 0.1350 Median : 0.0500
## Mean : 0.1317 Mean : 0.13725 Mean : 0.1215 Mean : 0.1025
## 3rd Qu.: 0.4825 3rd Qu.: 0.50750 3rd Qu.: 0.5325 3rd Qu.: 0.4875
## Max. : 2.2900 Max. : 1.45500 Max. : 1.7000 Max. : 1.7600
## data.5548 data.5549 data.5550 data.5551
## Min. :-1.5400 Min. :-1.2000 Min. :-1.9900 Min. :-1.00000
## 1st Qu.:-0.2300 1st Qu.:-0.4325 1st Qu.:-0.6625 1st Qu.:-0.29750
## Median : 0.0700 Median : 0.1200 Median : 0.1050 Median : 0.00000
## Mean : 0.2570 Mean : 0.1402 Mean : 0.1339 Mean : 0.04925
## 3rd Qu.: 0.6925 3rd Qu.: 0.6675 3rd Qu.: 0.7225 3rd Qu.: 0.32500
## Max. : 1.8600 Max. : 1.8000 Max. : 2.2400 Max. : 1.47000
## data.5552 data.5553 data.5554 data.5555
## Min. :-0.75000 Min. :-1.50000 Min. :-2.05998 Min. :-1.7600
## 1st Qu.:-0.17003 1st Qu.:-0.41750 1st Qu.:-0.88998 1st Qu.:-0.8325
## Median : 0.00000 Median : 0.00000 Median :-0.11499 Median : 0.0000
## Mean : 0.03862 Mean :-0.06275 Mean :-0.03198 Mean : 0.6681
## 3rd Qu.: 0.16000 3rd Qu.: 0.35500 3rd Qu.: 0.60002 3rd Qu.: 1.3175
## Max. : 1.11000 Max. : 1.79000 Max. : 2.70002 Max. : 5.5200
## data.5556 data.5557 data.5558 data.5559
## Min. :-2.6925 Min. :-3.210 Min. :-2.21000 Min. :-2.96000
## 1st Qu.:-1.0525 1st Qu.:-0.960 1st Qu.:-1.22250 1st Qu.:-0.89625
## Median :-0.1550 Median : 0.000 Median : 0.05000 Median : 0.03999
## Mean : 0.4435 Mean : 0.529 Mean :-0.01725 Mean : 0.13150
## 3rd Qu.: 1.2500 3rd Qu.: 1.465 3rd Qu.: 0.92750 3rd Qu.: 1.15500
## Max. : 5.7475 Max. : 5.880 Max. : 3.06000 Max. : 3.12000
## data.5560 data.5561 data.5562 data.5563
## Min. :-2.21000 Min. :-4.5800 Min. :-1.20000 Min. :-1.6900
## 1st Qu.:-0.98750 1st Qu.:-0.6550 1st Qu.:-0.41000 1st Qu.:-0.4975
## Median : 0.01000 Median : 0.2050 Median :-0.01000 Median :-0.0200
## Mean : 0.04425 Mean :-0.0285 Mean :-0.02913 Mean : 0.1619
## 3rd Qu.: 0.86000 3rd Qu.: 1.0975 3rd Qu.: 0.28500 3rd Qu.: 0.7013
## Max. : 2.12000 Max. : 2.9500 Max. : 1.05000 Max. : 3.2600
## data.5564 data.5565 data.5566 data.5567
## Min. :-2.3600 Min. :-2.775020 Min. :-2.3500 Min. :-1.2600
## 1st Qu.:-0.5800 1st Qu.:-0.747505 1st Qu.:-0.2675 1st Qu.:-0.4925
## Median : 0.0000 Median :-0.032500 Median : 0.1200 Median : 0.0800
## Mean : 0.1611 Mean : 0.000874 Mean : 0.3394 Mean : 0.2594
## 3rd Qu.: 1.0150 3rd Qu.: 0.866221 3rd Qu.: 0.8600 3rd Qu.: 0.6900
## Max. : 3.6400 Max. : 3.475000 Max. : 3.1100 Max. : 2.7700
## data.5568 data.5569 data.5570 data.5571
## Min. :-0.88000 Min. :-1.27000 Min. :-3.53000 Min. :-1.66998
## 1st Qu.:-0.32000 1st Qu.:-0.43000 1st Qu.:-0.67500 1st Qu.:-0.34748
## Median : 0.00000 Median : 0.01499 Median : 0.01998 Median : 0.02751
## Mean : 0.05387 Mean : 0.04550 Mean :-0.05075 Mean : 0.04452
## 3rd Qu.: 0.36500 3rd Qu.: 0.52000 3rd Qu.: 0.79250 3rd Qu.: 0.30253
## Max. : 1.34000 Max. : 1.36000 Max. : 2.30000 Max. : 1.81002
## data.5572 data.5573 data.5574 data.5575
## Min. :-4.00503 Min. :-4.2000 Min. :-2.640 Min. :-1.6850
## 1st Qu.:-0.69251 1st Qu.:-0.7250 1st Qu.:-0.940 1st Qu.:-0.1000
## Median : 0.02250 Median : 0.0000 Median : 0.060 Median : 0.3100
## Mean : 0.08036 Mean : 0.1812 Mean : 0.093 Mean : 0.2891
## 3rd Qu.: 0.80251 3rd Qu.: 1.2125 3rd Qu.: 1.173 3rd Qu.: 0.7987
## Max. : 2.50499 Max. : 2.7700 Max. : 2.395 Max. : 1.5450
## data.5576 data.5577 data.5578 data.5579
## Min. :-1.46502 Min. :-2.09002 Min. :-0.6650 Min. :-1.5650
## 1st Qu.:-0.30500 1st Qu.:-0.78750 1st Qu.:-0.3475 1st Qu.:-0.3937
## Median : 0.16000 Median : 0.12500 Median : 0.1850 Median : 0.0550
## Mean : 0.09075 Mean : 0.05175 Mean : 0.1642 Mean : 0.0165
## 3rd Qu.: 0.55999 3rd Qu.: 0.78250 3rd Qu.: 0.5975 3rd Qu.: 0.4675
## Max. : 1.18500 Max. : 2.67000 Max. : 1.8050 Max. : 1.5150
## data.5580 data.5581 data.5582 data.5583
## Min. :-2.86002 Min. :-1.42001 Min. :-1.5000 Min. :-2.3550
## 1st Qu.:-0.54750 1st Qu.:-0.51251 1st Qu.:-0.7675 1st Qu.:-0.4325
## Median :-0.02000 Median :-0.02500 Median : 0.0000 Median : 0.1650
## Mean :-0.03775 Mean : 0.01924 Mean : 0.1994 Mean : 0.1674
## 3rd Qu.: 0.52750 3rd Qu.: 0.56999 3rd Qu.: 0.9625 3rd Qu.: 0.7950
## Max. : 2.31000 Max. : 1.84501 Max. : 3.1500 Max. : 2.2650
## data.5584 data.5585 data.5586 data.5587
## Min. :-1.7900 Min. :-1.3700 Min. :-2.9650 Min. :-2.4900
## 1st Qu.:-0.2988 1st Qu.:-0.3475 1st Qu.:-2.0325 1st Qu.:-1.1800
## Median : 0.1750 Median : 0.0000 Median :-0.9025 Median : 0.0000
## Mean : 0.0670 Mean : 0.1172 Mean :-0.0900 Mean : 0.5671
## 3rd Qu.: 0.6025 3rd Qu.: 0.6325 3rd Qu.: 1.0775 3rd Qu.: 2.3725
## Max. : 1.6400 Max. : 1.5600 Max. : 5.1250 Max. : 5.3100
## data.5588 data.5589 data.5590 data.5591
## Min. :-2.6800 Min. :-2.42500 Min. :-2.83001 Min. :-0.9050
## 1st Qu.:-1.4225 1st Qu.:-1.02750 1st Qu.:-1.50751 1st Qu.:-0.2225
## Median : 0.2650 Median : 0.12001 Median :-0.05500 Median : 0.1600
## Mean : 0.4432 Mean : 0.02025 Mean :-0.01551 Mean : 0.3909
## 3rd Qu.: 2.0275 3rd Qu.: 0.94499 3rd Qu.: 1.27999 3rd Qu.: 0.7125
## Max. : 3.3650 Max. : 2.38502 Max. : 2.91499 Max. : 2.2950
## data.5592 data.5593 data.5594 data.5595
## Min. :-1.0100 Min. :-0.9150 Min. :-0.9300 Min. :-1.8100
## 1st Qu.:-0.2350 1st Qu.:-0.3400 1st Qu.:-0.2925 1st Qu.:-0.3025
## Median : 0.0000 Median : 0.0150 Median : 0.1950 Median : 0.2500
## Mean : 0.1029 Mean : 0.1152 Mean : 0.1652 Mean : 0.2080
## 3rd Qu.: 0.4450 3rd Qu.: 0.5600 3rd Qu.: 0.5475 3rd Qu.: 0.7475
## Max. : 1.2900 Max. : 1.8400 Max. : 1.3800 Max. : 1.7400
## data.5596 data.5597 data.5598 data.5599
## Min. :-1.6400 Min. :-1.8400 Min. :-1.090000 Min. :-1.58002
## 1st Qu.:-0.3500 1st Qu.:-0.3750 1st Qu.:-0.300015 1st Qu.:-0.14250
## Median : 0.1250 Median : 0.2400 Median : 0.040000 Median : 0.06500
## Mean : 0.1827 Mean : 0.2305 Mean :-0.004751 Mean : 0.06862
## 3rd Qu.: 0.7912 3rd Qu.: 0.9000 3rd Qu.: 0.315015 3rd Qu.: 0.40750
## Max. : 1.7100 Max. : 2.3000 Max. : 1.160000 Max. : 1.35000
## data.5600 data.5601 data.5602 data.5603
## Min. :-1.01002 Min. :-1.23500 Min. :-1.03004 Min. :-1.00002
## 1st Qu.:-0.28500 1st Qu.:-0.31246 1st Qu.:-0.26502 1st Qu.:-0.28250
## Median : 0.00500 Median : 0.03000 Median : 0.05248 Median : 0.05001
## Mean :-0.09338 Mean : 0.04827 Mean : 0.05723 Mean : 0.05225
## 3rd Qu.: 0.13000 3rd Qu.: 0.36752 3rd Qu.: 0.36498 3rd Qu.: 0.43375
## Max. : 0.52000 Max. : 1.06502 Max. : 1.02998 Max. : 0.94000
## data.5604 data.5605 data.5606 data.5607
## Min. :-1.25500 Min. :-1.0050 Min. :-0.8050 Min. :-0.8450
## 1st Qu.:-0.27000 1st Qu.:-0.1875 1st Qu.:-0.2350 1st Qu.:-0.1800
## Median : 0.10250 Median : 0.0525 Median : 0.0100 Median : 0.1575
## Mean : 0.07475 Mean : 0.0575 Mean : 0.0395 Mean : 0.1767
## 3rd Qu.: 0.41001 3rd Qu.: 0.4450 3rd Qu.: 0.3700 3rd Qu.: 0.6225
## Max. : 1.30500 Max. : 0.8450 Max. : 0.7650 Max. : 1.6150
## data.5608 data.5609 data.5610 data.5611
## Min. :-2.01000 Min. :-2.340 Min. :-1.93000 Min. :-2.0650
## 1st Qu.:-0.61250 1st Qu.:-0.640 1st Qu.:-0.64251 1st Qu.:-0.3150
## Median : 0.02500 Median :-0.075 Median : 0.00000 Median : 0.0000
## Mean : 0.04175 Mean : 0.014 Mean : 0.03025 Mean : 0.1357
## 3rd Qu.: 0.52750 3rd Qu.: 0.595 3rd Qu.: 0.55250 3rd Qu.: 0.5250
## Max. : 2.11000 Max. : 2.610 Max. : 2.51000 Max. : 2.7850
## data.5612 data.5613 data.5614 data.5615
## Min. :-2.140020 Min. :-1.10999 Min. :-1.9250 Min. :-0.8550
## 1st Qu.:-0.442495 1st Qu.:-0.37999 1st Qu.:-0.5900 1st Qu.:-0.2850
## Median :-0.160000 Median : 0.01500 Median : 0.0000 Median : 0.0200
## Mean : 0.007624 Mean : 0.06126 Mean :-0.0195 Mean : 0.0730
## 3rd Qu.: 0.700000 3rd Qu.: 0.48751 3rd Qu.: 0.6475 3rd Qu.: 0.3525
## Max. : 2.420000 Max. : 1.51501 Max. : 2.3050 Max. : 1.5100
## data.5616 data.5617 data.5618 data.5619
## Min. :-1.12000 Min. :-1.69000 Min. :-1.69000 Min. :-1.27500
## 1st Qu.:-0.32000 1st Qu.:-0.18750 1st Qu.:-0.27375 1st Qu.:-0.23750
## Median : 0.07500 Median : 0.06000 Median : 0.00500 Median : 0.07500
## Mean : 0.06725 Mean : 0.06275 Mean :-0.02275 Mean : 0.06075
## 3rd Qu.: 0.38750 3rd Qu.: 0.41000 3rd Qu.: 0.35000 3rd Qu.: 0.45000
## Max. : 1.42000 Max. : 0.86000 Max. : 1.00000 Max. : 1.23500
## data.5620 data.5621 data.5622 data.5623
## Min. :-1.0800 Min. :-0.74502 Min. :-1.0600 Min. :-1.12999
## 1st Qu.:-0.3325 1st Qu.:-0.29000 1st Qu.:-0.1700 1st Qu.:-0.08252
## Median :-0.0250 Median : 0.01500 Median : 0.1250 Median : 0.11999
## Mean : 0.1652 Mean : 0.01225 Mean : 0.1492 Mean : 0.26499
## 3rd Qu.: 0.6925 3rd Qu.: 0.27500 3rd Qu.: 0.4250 3rd Qu.: 0.54249
## Max. : 1.6300 Max. : 1.18500 Max. : 1.6200 Max. : 1.65999
## data.5624 data.5625 data.5626 data.5627
## Min. :-0.9875 Min. :-0.940000 Min. :-1.0400 Min. :-1.41000
## 1st Qu.:-0.1700 1st Qu.:-0.225000 1st Qu.:-0.4925 1st Qu.:-0.76500
## Median : 0.0625 Median : 0.000000 Median : 0.1850 Median :-0.08000
## Mean : 0.1072 Mean :-0.007502 Mean : 0.1633 Mean : 0.01937
## 3rd Qu.: 0.2675 3rd Qu.: 0.272500 3rd Qu.: 0.9500 3rd Qu.: 0.46500
## Max. : 0.9425 Max. : 0.650000 Max. : 1.5300 Max. : 2.63000
## data.5628 data.5629 data.5630 data.5631
## Min. :-1.8000 Min. :-1.02000 Min. :-1.4900 Min. :-3.1100
## 1st Qu.:-0.8650 1st Qu.:-0.38751 1st Qu.:-0.6262 1st Qu.:-1.3025
## Median : 0.0000 Median :-0.04500 Median :-0.2500 Median : 0.0000
## Mean :-0.0965 Mean :-0.07025 Mean : 0.1885 Mean :-0.1532
## 3rd Qu.: 0.6500 3rd Qu.: 0.15500 3rd Qu.: 1.0100 3rd Qu.: 0.5400
## Max. : 1.6100 Max. : 1.09500 Max. : 3.8600 Max. : 4.1100
## data.5632 data.5633 data.5634 data.5635
## Min. :-1.984990 Min. :-0.99000 Min. :-3.265000 Min. :-1.57002
## 1st Qu.:-0.604990 1st Qu.:-0.28499 1st Qu.:-0.182500 1st Qu.:-0.10626
## Median : 0.002515 Median : 0.00500 Median : 0.025000 Median : 0.04500
## Mean : 0.173883 Mean : 0.05825 Mean :-0.009376 Mean : 0.06962
## 3rd Qu.: 1.030010 3rd Qu.: 0.43250 3rd Qu.: 0.525000 3rd Qu.: 0.34000
## Max. : 3.000010 Max. : 1.24000 Max. : 1.285000 Max. : 0.90000
## data.5636 data.5637 data.5638 data.5639
## Min. :-1.8150 Min. :-1.020020 Min. :-4.1000 Min. :-5.48000
## 1st Qu.:-0.1925 1st Qu.:-0.367480 1st Qu.:-0.6025 1st Qu.:-0.35122
## Median : 0.0950 Median : 0.027500 Median :-0.0850 Median :-0.07998
## Mean : 0.1115 Mean : 0.007248 Mean :-0.3490 Mean :-0.23373
## 3rd Qu.: 0.4875 3rd Qu.: 0.410000 3rd Qu.: 0.4250 3rd Qu.: 0.29502
## Max. : 1.4050 Max. : 0.870000 Max. : 1.0800 Max. : 1.21002
## data.5640 data.5641 data.5642 data.5643
## Min. :-2.0800 Min. :-2.40500 Min. :-1.860 Min. :-4.0450
## 1st Qu.:-0.3225 1st Qu.:-0.38750 1st Qu.:-0.460 1st Qu.:-0.8875
## Median : 0.0100 Median :-0.05250 Median :-0.105 Median :-0.0525
## Mean :-0.0900 Mean :-0.05163 Mean :-0.223 Mean :-0.4374
## 3rd Qu.: 0.3150 3rd Qu.: 0.49750 3rd Qu.: 0.245 3rd Qu.: 0.1825
## Max. : 1.7650 Max. : 1.62500 Max. : 0.730 Max. : 0.6350
## data.5644 data.5645 data.5646 data.5647
## Min. :-3.9050 Min. :-2.7450 Min. :-3.9100 Min. :-1.51000
## 1st Qu.:-1.3100 1st Qu.:-1.5875 1st Qu.:-1.8300 1st Qu.:-0.53750
## Median :-0.0450 Median :-0.0400 Median :-0.2450 Median :-0.03500
## Mean :-0.6088 Mean :-0.3868 Mean :-0.5328 Mean :-0.03938
## 3rd Qu.: 0.4475 3rd Qu.: 0.4788 3rd Qu.: 0.7950 3rd Qu.: 0.59500
## Max. : 1.0350 Max. : 2.2200 Max. : 2.8800 Max. : 1.27000
## data.5648 data.5649 data.5650 data.5651
## Min. :-4.2300 Min. :-2.7900 Min. :-2.2700 Min. :-4.8950
## 1st Qu.:-0.8825 1st Qu.:-0.6725 1st Qu.:-0.7425 1st Qu.:-0.8625
## Median :-0.0325 Median : 0.0000 Median :-0.1550 Median :-0.0500
## Mean :-0.3308 Mean :-0.1029 Mean :-0.0930 Mean :-0.2993
## 3rd Qu.: 0.3125 3rd Qu.: 0.4975 3rd Qu.: 0.6575 3rd Qu.: 0.6525
## Max. : 2.3600 Max. : 2.5500 Max. : 1.9900 Max. : 1.9950
## data.5652 data.5653 data.5654 data.5655
## Min. :-2.1450 Min. :-1.580020 Min. :-0.90498 Min. :-0.72002
## 1st Qu.:-0.6000 1st Qu.:-0.320000 1st Qu.:-0.23248 1st Qu.:-0.14750
## Median : 0.0000 Median : 0.010000 Median :-0.00499 Median : 0.06000
## Mean :-0.1085 Mean :-0.006252 Mean :-0.01573 Mean : 0.01575
## 3rd Qu.: 0.2525 3rd Qu.: 0.335000 3rd Qu.: 0.20002 3rd Qu.: 0.27500
## Max. : 1.7350 Max. : 1.535000 Max. : 0.71002 Max. : 0.60002
## data.5656 data.5657 data.5658 data.5659
## Min. :-1.184981 Min. :-1.8800 Min. :-1.150000 Min. :-2.1900
## 1st Qu.:-0.287490 1st Qu.:-0.5300 1st Qu.:-0.335034 1st Qu.:-0.5275
## Median : 0.005019 Median : 0.1800 Median : 0.115000 Median : 0.4350
## Mean : 0.130518 Mean : 0.1040 Mean : 0.006999 Mean : 0.1684
## 3rd Qu.: 0.600020 3rd Qu.: 0.6375 3rd Qu.: 0.300000 3rd Qu.: 0.9675
## Max. : 1.565019 Max. : 1.5200 Max. : 0.680000 Max. : 2.8650
## data.5660 data.5661 data.5662 data.5663
## Min. :-1.2600 Min. :-3.6100 Min. :-0.82002 Min. :-1.1950
## 1st Qu.: 0.0000 1st Qu.:-1.0475 1st Qu.:-0.12000 1st Qu.:-0.2100
## Median : 0.1600 Median : 0.5050 Median : 0.02250 Median : 0.2450
## Mean : 0.4909 Mean : 0.2644 Mean : 0.04675 Mean : 0.1725
## 3rd Qu.: 0.9650 3rd Qu.: 1.5600 3rd Qu.: 0.30500 3rd Qu.: 0.6725
## Max. : 4.1100 Max. : 4.4000 Max. : 0.75000 Max. : 1.6500
## data.5664 data.5665 data.5666 data.5667
## Min. :-1.3150 Min. :-1.33001 Min. :-1.2800 Min. :-2.15000
## 1st Qu.:-0.3375 1st Qu.:-0.40251 1st Qu.:-0.5000 1st Qu.:-0.49750
## Median : 0.2700 Median :-0.02001 Median :-0.0600 Median : 0.02500
## Mean : 0.1910 Mean :-0.11501 Mean :-0.1293 Mean : 0.03387
## 3rd Qu.: 0.6700 3rd Qu.: 0.20247 3rd Qu.: 0.2125 3rd Qu.: 0.68750
## Max. : 1.7000 Max. : 0.59499 Max. : 0.8700 Max. : 1.84000
## data.5668 data.5669 data.5670 data.5671
## Min. :-1.150 Min. :-0.80004 Min. :-2.76000 Min. :-1.09002
## 1st Qu.:-0.315 1st Qu.:-0.29001 1st Qu.:-0.54250 1st Qu.:-0.26501
## Median :-0.035 Median : 0.04000 Median : 0.14000 Median :-0.02002
## Mean :-0.027 Mean : 0.06125 Mean : 0.05725 Mean : 0.01398
## 3rd Qu.: 0.320 3rd Qu.: 0.41500 3rd Qu.: 0.81250 3rd Qu.: 0.25998
## Max. : 1.220 Max. : 1.34000 Max. : 2.24000 Max. : 1.10998
## data.5672 data.5673 data.5674 data.5675
## Min. :-1.030000 Min. :-1.53000 Min. :-2.05000 Min. :-1.00000
## 1st Qu.:-0.357500 1st Qu.:-0.29250 1st Qu.:-0.55250 1st Qu.:-0.20751
## Median : 0.009990 Median : 0.00000 Median : 0.00000 Median :-0.01502
## Mean :-0.008752 Mean :-0.08275 Mean :-0.04375 Mean : 0.08862
## 3rd Qu.: 0.257485 3rd Qu.: 0.14500 3rd Qu.: 0.49250 3rd Qu.: 0.39250
## Max. : 1.515000 Max. : 0.83500 Max. : 1.25002 Max. : 1.29000
## data.5676 data.5677 data.5678 data.5679
## Min. :-0.9350 Min. :-1.049980 Min. :-0.89000 Min. :-0.89002
## 1st Qu.:-0.3600 1st Qu.:-0.402500 1st Qu.:-0.31500 1st Qu.:-0.30001
## Median : 0.3400 Median : 0.000000 Median : 0.03500 Median : 0.02501
## Mean : 0.6705 Mean : 0.001499 Mean : 0.09925 Mean : 0.07125
## 3rd Qu.: 1.6800 3rd Qu.: 0.290000 3rd Qu.: 0.53500 3rd Qu.: 0.47750
## Max. : 3.7300 Max. : 1.850000 Max. : 1.36000 Max. : 1.32000
## data.5680 data.5681 data.5682 data.5683
## Min. :-0.34002 Min. :-1.76000 Min. :-1.005000 Min. :-0.7800
## 1st Qu.:-0.11252 1st Qu.:-0.32000 1st Qu.:-0.252500 1st Qu.:-0.1525
## Median : 0.08498 Median : 0.04500 Median :-0.005000 Median : 0.0400
## Mean : 0.11198 Mean : 0.02975 Mean : 0.006999 Mean : 0.1807
## 3rd Qu.: 0.28748 3rd Qu.: 0.46000 3rd Qu.: 0.245000 3rd Qu.: 0.4375
## Max. : 0.72998 Max. : 1.58000 Max. : 1.245000 Max. : 2.0750
## data.5684 data.5685 data.5686 data.5687
## Min. :-0.7100 Min. :-1.5700 Min. :-2.34002 Min. :-4.02002
## 1st Qu.:-0.1600 1st Qu.:-0.7400 1st Qu.:-0.82250 1st Qu.:-0.47502
## Median : 0.1050 Median : 0.1850 Median : 0.08998 Median : 0.02997
## Mean : 0.1542 Mean : 0.2782 Mean :-0.02402 Mean :-0.05327
## 3rd Qu.: 0.4975 3rd Qu.: 1.2700 3rd Qu.: 0.63248 3rd Qu.: 0.52248
## Max. : 1.1300 Max. : 2.5300 Max. : 2.02998 Max. : 1.71998
## data.5688 data.5689 data.5690 data.5691
## Min. :-2.56000 Min. :-1.5600 Min. :-1.3350 Min. :-1.3250
## 1st Qu.:-0.88253 1st Qu.:-0.3525 1st Qu.:-0.7550 1st Qu.:-0.3125
## Median :-0.06001 Median : 0.0000 Median : 0.0000 Median : 0.0025
## Mean :-0.12550 Mean : 0.1219 Mean : 0.2186 Mean : 0.5316
## 3rd Qu.: 0.31250 3rd Qu.: 0.4500 3rd Qu.: 0.6225 3rd Qu.: 0.7025
## Max. : 3.00000 Max. : 3.2000 Max. : 2.8450 Max. : 5.6900
## data.5692 data.5693 data.5694 data.5695
## Min. :-1.7700 Min. :-0.9600 Min. :-1.7900 Min. :-2.0000
## 1st Qu.:-0.2900 1st Qu.:-0.3650 1st Qu.:-0.7250 1st Qu.:-0.5500
## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean : 0.6075 Mean : 0.3751 Mean : 0.3304 Mean : 0.2694
## 3rd Qu.: 0.5275 3rd Qu.: 0.6175 3rd Qu.: 1.0375 3rd Qu.: 1.2275
## Max. : 6.4450 Max. : 4.2050 Max. : 3.5000 Max. : 3.6400
## data.5696 data.5697 data.5698 data.5699
## Min. :-1.950000 Min. :-0.90001 Min. :-1.09000 Min. :-1.5850
## 1st Qu.: 0.000000 1st Qu.:-0.46750 1st Qu.:-0.30000 1st Qu.:-0.4450
## Median : 0.000000 Median : 0.02499 Median : 0.00000 Median :-0.0200
## Mean :-0.000624 Mean : 0.09874 Mean : 0.09962 Mean : 0.0650
## 3rd Qu.: 0.000000 3rd Qu.: 0.40249 3rd Qu.: 0.21747 3rd Qu.: 0.5025
## Max. : 4.890000 Max. : 2.85999 Max. : 3.46500 Max. : 4.0800
## data.5700 data.5701 data.5702 data.5703
## Min. :-1.71500 Min. :-1.0250 Min. :-1.1900 Min. :-1.1700
## 1st Qu.:-0.43000 1st Qu.:-0.3600 1st Qu.:-0.4275 1st Qu.:-0.4825
## Median : 0.04250 Median :-0.0450 Median : 0.0000 Median : 0.0000
## Mean : 0.09175 Mean : 0.2265 Mean : 0.1541 Mean : 0.3405
## 3rd Qu.: 0.38500 3rd Qu.: 0.5387 3rd Qu.: 0.1750 3rd Qu.: 0.4850
## Max. : 4.14000 Max. : 3.1150 Max. : 4.2000 Max. : 3.9600
## data.5704 data.5705 data.5706 data.5707
## Min. :-0.860 Min. :-2.5350 Min. :-2.0100 Min. :-1.9000
## 1st Qu.:-0.230 1st Qu.:-0.2675 1st Qu.:-0.5950 1st Qu.:-0.5925
## Median : 0.145 Median : 0.0025 Median : 0.0000 Median : 0.1750
## Mean : 0.356 Mean : 0.5882 Mean : 0.4866 Mean : 0.4994
## 3rd Qu.: 0.715 3rd Qu.: 0.7700 3rd Qu.: 0.8200 3rd Qu.: 0.5850
## Max. : 3.850 Max. : 7.5650 Max. : 6.9000 Max. : 6.6350
## data.5708 data.5709 data.5710 data.5711
## Min. :-0.48000 Min. :-2.89000 Min. :-1.11998 Min. :-0.9600
## 1st Qu.:-0.16251 1st Qu.:-0.55250 1st Qu.:-0.25748 1st Qu.:-0.4000
## Median : 0.02499 Median : 0.00000 Median : 0.02002 Median :-0.1050
## Mean : 0.13100 Mean : 0.09825 Mean : 0.07989 Mean : 0.1015
## 3rd Qu.: 0.18501 3rd Qu.: 0.39499 3rd Qu.: 0.28502 3rd Qu.: 0.3150
## Max. : 2.20000 Max. : 4.66500 Max. : 2.19502 Max. : 3.2050
## data.5712 data.5713 data.5714 data.5715
## Min. :-2.3350 Min. :-2.4900 Min. :-1.5750 Min. :-1.580
## 1st Qu.:-0.4850 1st Qu.:-0.5025 1st Qu.:-0.4900 1st Qu.:-0.660
## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median :-0.135
## Mean : 0.3694 Mean : 0.3705 Mean : 0.3300 Mean : 0.072
## 3rd Qu.: 0.9350 3rd Qu.: 1.0488 3rd Qu.: 0.6875 3rd Qu.: 0.645
## Max. : 5.8800 Max. : 5.5850 Max. : 3.9500 Max. : 2.875
## data.5716 data.5717 data.5718 data.5719
## Min. :-1.9300 Min. :-1.1800 Min. :-0.940 Min. :-1.380020
## 1st Qu.:-0.7050 1st Qu.:-0.2550 1st Qu.:-0.235 1st Qu.:-0.455005
## Median : 0.0000 Median : 0.0450 Median : 0.130 Median : 0.005000
## Mean : 0.1221 Mean : 0.2922 Mean : 0.361 Mean : 0.002249
## 3rd Qu.: 0.5975 3rd Qu.: 0.7600 3rd Qu.: 0.890 3rd Qu.: 0.335000
## Max. : 3.3650 Max. : 2.2950 Max. : 3.265 Max. : 1.925000
## data.5720 data.5721 data.5722 data.5723
## Min. :-1.44500 Min. :-3.5300 Min. :-1.435010 Min. :-2.7800
## 1st Qu.:-0.36501 1st Qu.:-0.6725 1st Qu.:-0.480010 1st Qu.:-0.5325
## Median : 0.01750 Median : 0.1050 Median : 0.007505 Median : 0.3550
## Mean : 0.06612 Mean : 0.2842 Mean : 0.206739 Mean : 0.8125
## 3rd Qu.: 0.47500 3rd Qu.: 1.4050 3rd Qu.: 0.742490 3rd Qu.: 2.1600
## Max. : 1.76500 Max. : 3.2000 Max. : 2.454990 Max. : 5.2100
## data.5724 data.5725 data.5726 data.5727
## Min. :-1.6600 Min. :-1.95501 Min. :-2.469980 Min. :-2.2300
## 1st Qu.:-0.4675 1st Qu.:-0.82752 1st Qu.:-0.777476 1st Qu.:-0.8125
## Median :-0.0450 Median : 0.06499 Median : 0.000000 Median : 0.0000
## Mean : 0.3111 Mean : 0.25899 Mean :-0.001982 Mean : 0.1207
## 3rd Qu.: 0.8925 3rd Qu.: 0.80249 3rd Qu.: 0.560034 3rd Qu.: 0.9650
## Max. : 3.8900 Max. : 4.17499 Max. : 3.340020 Max. : 3.3000
## data.5728 data.5729 data.5730 data.5731
## Min. :-0.8850 Min. :-3.1000 Min. :-2.9200 Min. :-1.230000
## 1st Qu.:-0.2875 1st Qu.:-1.6025 1st Qu.:-1.1450 1st Qu.:-0.530000
## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median :-0.020019
## Mean : 0.1407 Mean :-0.1328 Mean : 0.1282 Mean :-0.007001
## 3rd Qu.: 0.5225 3rd Qu.: 0.8075 3rd Qu.: 1.3050 3rd Qu.: 0.350000
## Max. : 2.3800 Max. : 4.4550 Max. : 4.6250 Max. : 2.475000
## data.5732 data.5733 data.5734 data.5735
## Min. :-1.7600 Min. :-1.4650 Min. :-1.18000 Min. :-2.2450
## 1st Qu.:-0.2325 1st Qu.:-0.5513 1st Qu.:-0.39750 1st Qu.:-0.2975
## Median : 0.0000 Median :-0.0175 Median : 0.00000 Median : 0.0000
## Mean : 1.2352 Mean : 0.1349 Mean : 0.09325 Mean : 0.1316
## 3rd Qu.: 2.6850 3rd Qu.: 0.6775 3rd Qu.: 0.29000 3rd Qu.: 0.6700
## Max. : 6.4000 Max. : 2.5350 Max. : 1.95000 Max. : 3.4000
## data.5736 data.5737 data.5738 data.5739
## Min. :-1.06000 Min. :-2.6500 Min. :-1.00000 Min. :-0.97002
## 1st Qu.:-0.26000 1st Qu.:-0.7925 1st Qu.:-0.33750 1st Qu.:-0.23250
## Median : 0.00000 Median : 0.1500 Median :-0.02000 Median : 0.00000
## Mean : 0.03712 Mean : 0.1489 Mean :-0.01725 Mean : 0.05337
## 3rd Qu.: 0.31251 3rd Qu.: 0.9100 3rd Qu.: 0.26249 3rd Qu.: 0.37750
## Max. : 1.61500 Max. : 3.1550 Max. : 1.04000 Max. : 1.17002
## data.5740 data.5741 data.5742 data.5743
## Min. :-1.57002 Min. :-0.6400 Min. :-0.78000 Min. :-1.1500000
## 1st Qu.:-0.26000 1st Qu.:-0.2563 1st Qu.:-0.28250 1st Qu.:-0.5200049
## Median : 0.08498 Median : 0.0400 Median : 0.00000 Median : 0.0000098
## Mean : 0.07175 Mean : 0.1197 Mean : 0.08825 Mean : 0.0852485
## 3rd Qu.: 0.39000 3rd Qu.: 0.5075 3rd Qu.: 0.38250 3rd Qu.: 0.3924951
## Max. : 1.37000 Max. : 1.1850 Max. : 1.12000 Max. : 2.0500000
## data.5744 data.5745 data.5746 data.5747
## Min. :-1.0600 Min. :-0.8300 Min. :-0.8600 Min. :-0.57000
## 1st Qu.:-0.4700 1st Qu.:-0.1950 1st Qu.:-0.3575 1st Qu.:-0.17625
## Median : 0.0300 Median : 0.0000 Median : 0.0500 Median : 0.02501
## Mean : 0.1245 Mean : 0.2077 Mean : 0.1400 Mean : 0.09375
## 3rd Qu.: 0.5400 3rd Qu.: 0.6100 3rd Qu.: 0.5675 3rd Qu.: 0.36500
## Max. : 1.8700 Max. : 1.8600 Max. : 1.6000 Max. : 0.87000
## data.5748 data.5749 data.5750 data.5751
## Min. :-0.660000 Min. :-0.5500000 Min. :-0.6200 Min. :-0.62002
## 1st Qu.:-0.290000 1st Qu.:-0.3350000 1st Qu.:-0.2900 1st Qu.:-0.25625
## Median : 0.000000 Median : 0.0100000 Median : 0.0000 Median : 0.00500
## Mean :-0.006502 Mean : 0.0009985 Mean : 0.0445 Mean : 0.08275
## 3rd Qu.: 0.187500 3rd Qu.: 0.2525000 3rd Qu.: 0.3800 3rd Qu.: 0.35250
## Max. : 0.700000 Max. : 0.7900000 Max. : 1.0500 Max. : 1.16000
## data.5752 data.5753 data.5754 data.5755
## Min. :-0.99000 Min. :-0.8650 Min. :-1.97999 Min. :-1.43000
## 1st Qu.:-0.12750 1st Qu.:-0.3400 1st Qu.:-0.39499 1st Qu.:-0.45250
## Median : 0.01001 Median : 0.1200 Median : 0.03501 Median : 0.01999
## Mean : 0.13487 Mean : 0.1281 Mean : 0.18501 Mean : 0.13837
## 3rd Qu.: 0.43750 3rd Qu.: 0.5500 3rd Qu.: 0.76001 3rd Qu.: 0.61750
## Max. : 1.17000 Max. : 2.0950 Max. : 2.59501 Max. : 2.34000
## data.5756 data.5757 data.5758 data.5759
## Min. :-1.390000 Min. :-1.4800 Min. :-3.42000 Min. :-2.4100
## 1st Qu.:-0.421255 1st Qu.:-0.3800 1st Qu.:-1.05000 1st Qu.:-0.8250
## Median :-0.045000 Median :-0.0950 Median : 0.27000 Median : 0.1400
## Mean : 0.005248 Mean : 0.0435 Mean : 0.07937 Mean : 0.1686
## 3rd Qu.: 0.427500 3rd Qu.: 0.6225 3rd Qu.: 1.40250 3rd Qu.: 1.0375
## Max. : 1.780000 Max. : 1.6500 Max. : 2.85000 Max. : 2.5200
## data.5760 data.5761 data.5762 data.5763
## Min. :-2.440 Min. :-1.22000 Min. :-1.12498 Min. :-1.8950
## 1st Qu.:-1.052 1st Qu.:-0.54000 1st Qu.:-0.50498 1st Qu.:-0.5125
## Median : 0.000 Median : 0.00000 Median : 0.09002 Median : 0.0900
## Mean : 0.789 Mean : 0.08337 Mean : 0.10452 Mean : 0.0745
## 3rd Qu.: 2.920 3rd Qu.: 0.56250 3rd Qu.: 0.65250 3rd Qu.: 0.5825
## Max. : 5.195 Max. : 1.97500 Max. : 2.28002 Max. : 2.2500
## data.5764 data.5765 data.5766 data.5767
## Min. :-1.7100 Min. :-1.6600 Min. :-1.11000 Min. :-1.930
## 1st Qu.:-0.3250 1st Qu.:-0.3100 1st Qu.:-0.27250 1st Qu.:-0.275
## Median : 0.1100 Median : 0.0600 Median : 0.01001 Median : 0.070
## Mean : 0.1816 Mean : 0.2772 Mean : 0.08050 Mean : 0.160
## 3rd Qu.: 0.9875 3rd Qu.: 0.7950 3rd Qu.: 0.57000 3rd Qu.: 0.680
## Max. : 2.5050 Max. : 2.5250 Max. : 1.44500 Max. : 1.790
## data.5768 data.5769 data.5770 data.5771
## Min. :-2.1900 Min. :-1.73502 Min. :-0.8000 Min. :-0.4600
## 1st Qu.:-0.2625 1st Qu.:-0.13000 1st Qu.:-0.2025 1st Qu.:-0.1150
## Median : 0.1250 Median : 0.08498 Median : 0.2000 Median : 0.1050
## Mean : 0.2230 Mean : 0.23537 Mean : 0.2782 Mean : 0.4581
## 3rd Qu.: 0.8125 3rd Qu.: 0.69250 3rd Qu.: 0.6875 3rd Qu.: 0.8775
## Max. : 2.1400 Max. : 1.83500 Max. : 1.6250 Max. : 2.0500
## data.5772 data.5773 data.5774 data.5775
## Min. :-1.4050 Min. :-1.6100 Min. :-2.3200 Min. :-1.8800
## 1st Qu.:-0.2550 1st Qu.:-0.1875 1st Qu.:-0.2800 1st Qu.:-0.1850
## Median : 0.2650 Median : 0.2050 Median : 0.3450 Median : 0.3450
## Mean : 0.4527 Mean : 0.5385 Mean : 0.1550 Mean : 0.2205
## 3rd Qu.: 0.9650 3rd Qu.: 1.1400 3rd Qu.: 0.8037 3rd Qu.: 0.7575
## Max. : 2.4650 Max. : 2.8700 Max. : 1.5750 Max. : 1.3350
## data.5776 data.5777 data.5778 data.5779
## Min. :-2.3800 Min. :-0.8500 Min. :-1.32500 Min. :-1.1500
## 1st Qu.:-0.5250 1st Qu.:-0.2825 1st Qu.:-0.32750 1st Qu.:-0.3700
## Median : 0.2975 Median : 0.0450 Median : 0.08498 Median : 0.1650
## Mean : 0.3435 Mean : 0.1007 Mean : 0.03000 Mean : 0.1657
## 3rd Qu.: 1.0800 3rd Qu.: 0.4800 3rd Qu.: 0.43000 3rd Qu.: 0.5875
## Max. : 2.3700 Max. : 1.0400 Max. : 1.07000 Max. : 1.8500
## data.5780 data.5781 data.5782 data.5783
## Min. :-1.7200 Min. :-2.43996 Min. :-1.15001 Min. :-2.9950
## 1st Qu.:-0.4975 1st Qu.:-0.34498 1st Qu.:-0.18251 1st Qu.:-0.5050
## Median : 0.0350 Median : 0.09502 Median : 0.04500 Median : 0.3950
## Mean : 0.0415 Mean : 0.04302 Mean : 0.08311 Mean : 0.1352
## 3rd Qu.: 0.5175 3rd Qu.: 0.44502 3rd Qu.: 0.48749 3rd Qu.: 0.8775
## Max. : 1.6600 Max. : 1.78002 Max. : 1.33999 Max. : 1.9750
## data.5784 data.5785 data.5786 data.5787
## Min. :-0.7350 Min. :-1.2850 Min. :-1.16000 Min. :-2.03502
## 1st Qu.:-0.1250 1st Qu.:-0.1775 1st Qu.:-0.20750 1st Qu.:-0.46751
## Median : 0.0250 Median : 0.1000 Median : 0.06498 Median :-0.05000
## Mean : 0.1235 Mean : 0.0120 Mean : 0.12750 Mean :-0.08538
## 3rd Qu.: 0.4713 3rd Qu.: 0.2525 3rd Qu.: 0.60750 3rd Qu.: 0.32250
## Max. : 1.1650 Max. : 1.3200 Max. : 1.41000 Max. : 2.06500
## data.5788 data.5789 data.5790 data.5791
## Min. :-0.96501 Min. :-1.12500 Min. :-1.7000 Min. :-3.490
## 1st Qu.:-0.19252 1st Qu.:-0.18501 1st Qu.:-0.3750 1st Qu.:-1.342
## Median : 0.03501 Median : 0.15000 Median : 0.0050 Median :-0.080
## Mean : 0.04426 Mean : 0.07025 Mean : 0.1066 Mean :-0.274
## 3rd Qu.: 0.38501 3rd Qu.: 0.40375 3rd Qu.: 0.5750 3rd Qu.: 0.770
## Max. : 1.42501 Max. : 1.18500 Max. : 1.7500 Max. : 2.150
## data.5792 data.5793 data.5794 data.5795
## Min. :-0.9249805 Min. :-1.86499 Min. :-1.50001 Min. :-1.6000
## 1st Qu.:-0.2099805 1st Qu.:-0.57249 1st Qu.:-0.56501 1st Qu.:-0.5925
## Median : 0.0000000 Median : 0.11500 Median : 0.02000 Median : 0.0250
## Mean :-0.0006079 Mean :-0.05524 Mean :-0.07776 Mean :-0.1345
## 3rd Qu.: 0.2475195 3rd Qu.: 0.53001 3rd Qu.: 0.43499 3rd Qu.: 0.4300
## Max. : 0.7750195 Max. : 1.27501 Max. : 0.91499 Max. : 1.0000
## data.5796 data.5797 data.5798 data.5799
## Min. :-3.2050 Min. :-2.34498 Min. :-3.0600 Min. :-3.3600
## 1st Qu.:-1.2900 1st Qu.:-1.04248 1st Qu.:-0.8950 1st Qu.:-1.0800
## Median : 0.1050 Median :-0.24750 Median : 0.0000 Median : 0.0000
## Mean : 0.3665 Mean :-0.06723 Mean :-0.2164 Mean :-0.3027
## 3rd Qu.: 1.9175 3rd Qu.: 0.91252 3rd Qu.: 0.5850 3rd Qu.: 0.6400
## Max. : 4.5450 Max. : 2.32502 Max. : 1.8800 Max. : 1.9300
## data.5800 data.5801 data.5802 data.5803
## Min. :-1.770000 Min. :-1.5600 Min. :-0.8200 Min. :-3.5800
## 1st Qu.:-0.507485 1st Qu.:-0.6675 1st Qu.:-0.1125 1st Qu.:-0.7925
## Median : 0.080000 Median : 0.1400 Median : 0.1050 Median : 0.5850
## Mean :-0.005377 Mean : 0.0200 Mean : 0.1915 Mean : 0.5932
## 3rd Qu.: 0.460000 3rd Qu.: 0.5700 3rd Qu.: 0.5850 3rd Qu.: 1.4775
## Max. : 1.775000 Max. : 1.8050 Max. : 1.4000 Max. : 5.6200
## data.5804 data.5805 data.5806 data.5807
## Min. :-2.020 Min. :-3.6650 Min. :-1.5750 Min. :-1.4700
## 1st Qu.:-0.730 1st Qu.:-1.1363 1st Qu.:-0.4175 1st Qu.:-0.2100
## Median : 1.345 Median : 1.3550 Median : 0.2000 Median : 0.4650
## Mean : 1.139 Mean : 0.6741 Mean : 0.2866 Mean : 0.3044
## 3rd Qu.: 2.623 3rd Qu.: 2.4075 3rd Qu.: 0.9550 3rd Qu.: 0.9100
## Max. : 5.025 Max. : 4.4300 Max. : 2.0750 Max. : 1.9900
## data.5808 data.5809 data.5810 data.5811
## Min. :-2.12998 Min. :-2.6850 Min. :-1.9700 Min. :-1.0700
## 1st Qu.:-0.09125 1st Qu.:-0.9700 1st Qu.:-0.6200 1st Qu.:-0.3075
## Median : 0.36000 Median : 0.3100 Median : 0.3750 Median : 0.1400
## Mean : 0.41862 Mean : 0.2001 Mean : 0.4215 Mean : 0.1639
## 3rd Qu.: 1.04250 3rd Qu.: 1.3137 3rd Qu.: 1.4350 3rd Qu.: 0.5325
## Max. : 2.82000 Max. : 2.3250 Max. : 2.5900 Max. : 1.9900
## data.5812 data.5813 data.5814 data.5815
## Min. :-0.850 Min. :-1.07002 Min. :-2.9300 Min. :-1.24999
## 1st Qu.:-0.095 1st Qu.:-0.36250 1st Qu.:-0.8750 1st Qu.:-0.55248
## Median : 0.120 Median : 0.04999 Median : 0.2600 Median : 0.13501
## Mean : 0.271 Mean : 0.15698 Mean : 0.1995 Mean : 0.07301
## 3rd Qu.: 0.595 3rd Qu.: 0.67748 3rd Qu.: 1.3100 3rd Qu.: 0.58626
## Max. : 2.290 Max. : 1.54998 Max. : 4.5300 Max. : 1.47001
## data.5816 data.5817 data.5818 data.5819
## Min. :-1.98500 Min. :-2.0600 Min. :-3.0400 Min. :-1.57250
## 1st Qu.:-0.82500 1st Qu.:-0.3450 1st Qu.:-1.1650 1st Qu.:-0.42250
## Median : 0.19999 Median : 0.1300 Median : 0.0150 Median : 0.03249
## Mean : 0.06775 Mean : 0.1891 Mean :-0.0145 Mean : 0.12725
## 3rd Qu.: 1.00250 3rd Qu.: 0.8500 3rd Qu.: 0.8425 3rd Qu.: 0.65000
## Max. : 2.49500 Max. : 2.6900 Max. : 2.9000 Max. : 2.02750
## data.5820 data.5821 data.5822 data.5823
## Min. :-1.725 Min. :-1.5150 Min. :-1.9250 Min. :-2.71004
## 1st Qu.:-0.380 1st Qu.:-0.3900 1st Qu.:-0.7100 1st Qu.:-0.47005
## Median : 0.065 Median : 0.2350 Median : 0.0800 Median : 0.00499
## Mean : 0.229 Mean : 0.3555 Mean : 0.3105 Mean : 0.31748
## 3rd Qu.: 0.970 3rd Qu.: 0.8500 3rd Qu.: 1.0625 3rd Qu.: 1.08248
## Max. : 2.835 Max. : 3.1250 Max. : 3.3050 Max. : 3.24998
## data.5824 data.5825 data.5826 data.5827
## Min. :-1.8950 Min. :-1.195000 Min. :-1.5500 Min. :-2.42998
## 1st Qu.:-0.7550 1st Qu.:-0.345000 1st Qu.:-0.7350 1st Qu.:-0.68502
## Median :-0.2500 Median :-0.085010 Median : 0.0450 Median : 0.00501
## Mean : 0.1490 Mean : 0.007999 Mean : 0.0555 Mean : 0.11200
## 3rd Qu.: 0.9838 3rd Qu.: 0.437500 3rd Qu.: 0.7725 3rd Qu.: 0.95500
## Max. : 3.0650 Max. : 1.785000 Max. : 2.2200 Max. : 2.40000
## data.5828 data.5829 data.5830 data.5831
## Min. :-3.150 Min. :-3.1800 Min. :-2.82500 Min. :-3.12500
## 1st Qu.:-1.862 1st Qu.:-1.0925 1st Qu.:-1.35749 1st Qu.:-0.93000
## Median : 0.000 Median :-0.1400 Median : 0.00000 Median : 0.00000
## Mean : 0.040 Mean : 0.2025 Mean :-0.01988 Mean : 0.02925
## 3rd Qu.: 1.768 3rd Qu.: 1.6100 3rd Qu.: 1.35250 3rd Qu.: 0.54875
## Max. : 3.695 Max. : 4.4950 Max. : 3.39000 Max. : 4.61500
## data.5832 data.5833 data.5834 data.5835
## Min. :-2.660 Min. :-2.3500 Min. :-1.975010 Min. :-3.19000
## 1st Qu.:-0.785 1st Qu.:-1.2950 1st Qu.:-1.182510 1st Qu.:-1.54500
## Median :-0.105 Median : 0.0000 Median : 0.000000 Median : 0.00000
## Mean : 0.216 Mean : 0.2395 Mean :-0.005385 Mean :-0.09575
## 3rd Qu.: 1.385 3rd Qu.: 1.5337 3rd Qu.: 1.114990 3rd Qu.: 1.30250
## Max. : 3.130 Max. : 3.6700 Max. : 2.609990 Max. : 2.45500
## data.5836 data.5837 data.5838 data.5839
## Min. :-3.2500 Min. :-2.90502 Min. :-3.8300 Min. :-1.4800
## 1st Qu.:-1.6725 1st Qu.:-1.28502 1st Qu.:-1.9350 1st Qu.:-0.8375
## Median :-0.2550 Median :-0.08001 Median :-0.4250 Median :-0.1750
## Mean :-0.1128 Mean :-0.03227 Mean :-0.3223 Mean : 0.5277
## 3rd Qu.: 1.4900 3rd Qu.: 1.37748 3rd Qu.: 1.1625 3rd Qu.: 1.8950
## Max. : 2.8550 Max. : 2.38998 Max. : 3.8200 Max. : 4.5400
## data.5840 data.5841 data.5842 data.5843
## Min. :-1.6350 Min. :-2.225010 Min. :-2.4200 Min. :-3.5000
## 1st Qu.:-0.8100 1st Qu.:-0.870010 1st Qu.:-1.1025 1st Qu.:-1.9825
## Median :-0.0375 Median : 0.002505 Median : 0.0000 Median : 0.0150
## Mean : 0.0685 Mean : 0.408116 Mean : 0.2446 Mean :-0.2399
## 3rd Qu.: 0.8150 3rd Qu.: 1.462490 3rd Qu.: 1.7625 3rd Qu.: 1.1550
## Max. : 2.2150 Max. : 4.454990 Max. : 3.6350 Max. : 3.8150
## data.5844 data.5845 data.5846 data.5847
## Min. :-1.6300 Min. :-1.6400 Min. :-1.7500 Min. :-2.27498
## 1st Qu.:-0.6400 1st Qu.:-0.4475 1st Qu.:-0.5875 1st Qu.:-0.87248
## Median :-0.1200 Median : 0.1300 Median : 0.1400 Median : 0.22502
## Mean : 0.2590 Mean : 0.8879 Mean : 0.3734 Mean : 0.04102
## 3rd Qu.: 0.7875 3rd Qu.: 1.8800 3rd Qu.: 0.9600 3rd Qu.: 0.90002
## Max. : 3.6100 Max. : 5.5650 Max. : 3.8150 Max. : 1.98502
## data.5848 data.5849 data.5850 data.5851
## Min. :-1.6500 Min. :-1.760 Min. :-1.4650 Min. :-1.5400
## 1st Qu.:-0.2925 1st Qu.:-0.535 1st Qu.:-0.3850 1st Qu.:-0.4125
## Median : 0.0750 Median : 0.135 Median : 0.1300 Median : 0.0350
## Mean : 0.4922 Mean : 0.488 Mean : 0.3420 Mean :-0.0230
## 3rd Qu.: 1.3475 3rd Qu.: 1.742 3rd Qu.: 0.9975 3rd Qu.: 0.4350
## Max. : 3.0300 Max. : 3.180 Max. : 2.5450 Max. : 1.3250
## data.5852 data.5853 data.5854 data.5855
## Min. :-1.0250 Min. :-1.2100 Min. :-1.0000 Min. :-1.1050
## 1st Qu.:-0.4050 1st Qu.:-0.4525 1st Qu.:-0.6075 1st Qu.:-0.3700
## Median : 0.0750 Median : 0.1050 Median : 0.0900 Median : 0.2200
## Mean : 0.3155 Mean : 0.2800 Mean : 0.2482 Mean : 0.1887
## 3rd Qu.: 0.9700 3rd Qu.: 0.7750 3rd Qu.: 0.7950 3rd Qu.: 0.6025
## Max. : 2.6750 Max. : 2.4300 Max. : 2.7300 Max. : 2.0150
## data.5856 data.5857 data.5858 data.5859
## Min. :-1.1500 Min. :-1.8300 Min. :-1.2300 Min. :-1.35502
## 1st Qu.:-0.6925 1st Qu.:-0.3775 1st Qu.:-0.5225 1st Qu.:-0.42500
## Median : 0.1050 Median : 0.1050 Median : 0.0200 Median : 0.24000
## Mean : 0.1097 Mean :-0.0230 Mean : 0.0480 Mean : 0.05475
## 3rd Qu.: 0.6250 3rd Qu.: 0.5250 3rd Qu.: 0.4925 3rd Qu.: 0.62000
## Max. : 2.4300 Max. : 1.0500 Max. : 1.3100 Max. : 1.43500
## data.5860 data.5861 data.5862 data.5863
## Min. :-2.03000 Min. :-1.9600 Min. :-1.9850 Min. :-0.8650
## 1st Qu.:-0.53250 1st Qu.:-0.5600 1st Qu.:-0.4700 1st Qu.:-0.3300
## Median : 0.28501 Median : 0.2400 Median : 0.2150 Median : 0.1300
## Mean : 0.07887 Mean : 0.1740 Mean : 0.1218 Mean : 0.1325
## 3rd Qu.: 0.80250 3rd Qu.: 0.8425 3rd Qu.: 0.6275 3rd Qu.: 0.4900
## Max. : 1.57000 Max. : 1.7000 Max. : 1.4050 Max. : 1.5600
## data.5864 data.5865 data.5866 data.5867
## Min. :-1.23502 Min. :-2.5050 Min. :-2.2750 Min. :-5.05503
## 1st Qu.:-0.52500 1st Qu.:-0.4475 1st Qu.:-0.3200 1st Qu.:-0.46502
## Median : 0.20000 Median : 0.4900 Median : 0.1600 Median : 0.17999
## Mean : 0.09375 Mean : 0.2705 Mean : 0.1037 Mean :-0.01351
## 3rd Qu.: 0.60000 3rd Qu.: 1.3025 3rd Qu.: 0.6975 3rd Qu.: 0.92999
## Max. : 2.12000 Max. : 2.7700 Max. : 1.7250 Max. : 2.02499
## data.5868 data.5869 data.5870 data.5871
## Min. :-4.4700 Min. :-4.67002 Min. :-4.720 Min. :-3.69002
## 1st Qu.:-0.7675 1st Qu.:-0.96250 1st Qu.:-0.900 1st Qu.:-1.05001
## Median : 0.1000 Median : 0.02499 Median : 0.005 Median : 0.00499
## Mean :-0.2650 Mean :-0.47575 Mean :-0.459 Mean :-0.32075
## 3rd Qu.: 0.6925 3rd Qu.: 0.68750 3rd Qu.: 0.345 3rd Qu.: 0.51750
## Max. : 3.4850 Max. : 3.27500 Max. : 3.245 Max. : 3.38500
## data.5872 data.5873 data.5874 data.5875
## Min. :-3.4650 Min. :-2.8200 Min. :-2.1300 Min. :-3.0200
## 1st Qu.:-0.9600 1st Qu.:-0.4525 1st Qu.:-0.7225 1st Qu.:-0.3675
## Median : 0.0950 Median : 0.2950 Median : 0.1225 Median : 0.2550
## Mean :-0.1733 Mean : 0.1320 Mean :-0.0195 Mean : 0.2702
## 3rd Qu.: 0.6000 3rd Qu.: 0.8175 3rd Qu.: 0.5700 3rd Qu.: 1.0025
## Max. : 3.3200 Max. : 2.3400 Max. : 2.1150 Max. : 2.5150
## data.5876 data.5877 data.5878 data.5879
## Min. :-1.9250 Min. :-0.720 Min. :-4.7050 Min. :-1.19002
## 1st Qu.:-0.3700 1st Qu.:-0.170 1st Qu.:-0.4275 1st Qu.:-0.40002
## Median : 0.2650 Median : 0.260 Median : 0.1650 Median :-0.03001
## Mean : 0.2980 Mean : 0.196 Mean : 0.1365 Mean : 0.12973
## 3rd Qu.: 0.8625 3rd Qu.: 0.510 3rd Qu.: 0.9975 3rd Qu.: 0.66748
## Max. : 2.4150 Max. : 1.150 Max. : 2.0150 Max. : 2.01998
## data.5880 data.5881 data.5882 data.5883
## Min. :-2.12998 Min. :-3.04002 Min. :-3.0600 Min. :-2.26000
## 1st Qu.:-0.46251 1st Qu.:-0.61753 1st Qu.:-0.4150 1st Qu.:-0.79753
## Median : 0.18504 Median : 0.12998 Median : 0.4100 Median : 0.04000
## Mean : 0.07102 Mean :-0.09477 Mean : 0.2207 Mean :-0.06238
## 3rd Qu.: 0.61750 3rd Qu.: 0.49373 3rd Qu.: 1.0025 3rd Qu.: 0.58750
## Max. : 1.55002 Max. : 1.22998 Max. : 3.1400 Max. : 1.75000
## data.5884 data.5885 data.5886 data.5887
## Min. :-3.0200 Min. :-2.31000 Min. :-2.4900 Min. :-2.8050
## 1st Qu.:-0.6450 1st Qu.:-0.72125 1st Qu.:-0.2975 1st Qu.:-0.4625
## Median : 0.1525 Median : 0.33500 Median : 0.4600 Median : 0.3600
## Mean : 0.2512 Mean : 0.01375 Mean : 0.2877 Mean : 0.2177
## 3rd Qu.: 1.6225 3rd Qu.: 0.87250 3rd Qu.: 1.0550 3rd Qu.: 0.9175
## Max. : 2.7500 Max. : 1.39000 Max. : 1.9800 Max. : 1.7250
## data.5888 data.5889 data.5890 data.5891
## Min. :-0.60998 Min. :-1.24000 Min. :-3.20000 Min. :-3.48000
## 1st Qu.:-0.07998 1st Qu.:-0.21998 1st Qu.:-0.72000 1st Qu.:-0.87500
## Median : 0.30002 Median : 0.09502 Median : 0.37500 Median : 0.11500
## Mean : 0.35327 Mean : 0.14352 Mean : 0.01275 Mean :-0.08375
## 3rd Qu.: 0.81252 3rd Qu.: 0.50252 3rd Qu.: 0.80249 3rd Qu.: 0.78250
## Max. : 1.43502 Max. : 1.37502 Max. : 2.41500 Max. : 2.47500
## data.5892 data.5893 data.5894 data.5895
## Min. :-4.2100 Min. :-5.5500 Min. :-3.2200 Min. :-1.43500
## 1st Qu.:-1.0387 1st Qu.:-0.4288 1st Qu.:-2.0175 1st Qu.:-0.58749
## Median : 0.3250 Median : 0.0650 Median : 0.0250 Median : 0.10002
## Mean :-0.1332 Mean :-0.0950 Mean :-0.3661 Mean : 0.01902
## 3rd Qu.: 0.8900 3rd Qu.: 0.7600 3rd Qu.: 0.6675 3rd Qu.: 0.65752
## Max. : 2.3050 Max. : 1.7100 Max. : 2.1400 Max. : 1.84002
## data.5896 data.5897 data.5898 data.5899
## Min. :-1.9200000 Min. :-2.585000 Min. :-1.8750 Min. :-2.3350
## 1st Qu.:-0.8074951 1st Qu.:-0.408750 1st Qu.:-0.7800 1st Qu.:-0.9850
## Median : 0.0600098 Median : 0.085000 Median :-0.1000 Median : 0.0000
## Mean :-0.0007515 Mean : 0.007999 Mean :-0.0675 Mean : 0.2916
## 3rd Qu.: 0.8675000 3rd Qu.: 0.800000 3rd Qu.: 0.7575 3rd Qu.: 1.6275
## Max. : 1.8450000 Max. : 1.815000 Max. : 1.9050 Max. : 4.6650
## data.5900 data.5901 data.5902 data.5903
## Min. :-1.9300 Min. :-1.13006 Min. :-2.5700 Min. :-2.3150
## 1st Qu.:-0.5900 1st Qu.:-0.24002 1st Qu.:-0.4575 1st Qu.:-1.0750
## Median : 0.2450 Median :-0.04751 Median : 0.1050 Median : 0.1800
## Mean : 0.2257 Mean : 0.18798 Mean : 0.3295 Mean :-0.0185
## 3rd Qu.: 0.8600 3rd Qu.: 0.63498 3rd Qu.: 1.2725 3rd Qu.: 0.9437
## Max. : 3.1850 Max. : 1.75998 Max. : 2.7550 Max. : 2.8350
## data.5904 data.5905 data.5906 data.5907
## Min. :-2.52998 Min. :-2.13501 Min. :-2.1400 Min. :-1.3799800
## 1st Qu.:-0.88249 1st Qu.:-0.56001 1st Qu.:-0.4950 1st Qu.:-0.7174805
## Median : 0.09503 Median : 0.03749 Median : 0.0500 Median : 0.0000098
## Mean : 0.04664 Mean : 0.04211 Mean : 0.2541 Mean : 0.2116413
## 3rd Qu.: 0.99252 3rd Qu.: 0.70499 3rd Qu.: 0.9475 3rd Qu.: 0.8050195
## Max. : 2.84002 Max. : 2.19499 Max. : 2.6700 Max. : 2.9300200
## data.5908 data.5909 data.5910 data.5911
## Min. :-1.43000 Min. :-1.27000 Min. :-3.2900 Min. :-2.04500
## 1st Qu.:-0.50000 1st Qu.:-0.53250 1st Qu.:-1.4075 1st Qu.:-0.41250
## Median :-0.00500 Median : 0.02999 Median : 0.0000 Median : 0.21001
## Mean : 0.09725 Mean : 0.19050 Mean : 0.1354 Mean : 0.08875
## 3rd Qu.: 0.68250 3rd Qu.: 0.95250 3rd Qu.: 1.7800 3rd Qu.: 0.68500
## Max. : 1.99000 Max. : 2.40000 Max. : 4.3400 Max. : 1.92000
## data.5912 data.5913 data.5914 data.5915
## Min. :-1.51000 Min. :-2.67502 Min. :-2.2500 Min. :-4.7150
## 1st Qu.:-0.46252 1st Qu.:-1.67500 1st Qu.:-0.8650 1st Qu.:-1.4750
## Median :-0.05500 Median :-0.25500 Median : 0.0100 Median : 0.0000
## Mean : 0.09875 Mean :-0.03575 Mean : 0.1890 Mean :-0.4875
## 3rd Qu.: 0.73250 3rd Qu.: 1.20000 3rd Qu.: 0.8875 3rd Qu.: 0.5950
## Max. : 1.72500 Max. : 3.64000 Max. : 5.1650 Max. : 1.7250
## data.5916 data.5917 data.5918 data.5919
## Min. :-3.9800 Min. :-4.3300 Min. :-2.21998 Min. :-1.1150
## 1st Qu.:-0.4975 1st Qu.:-0.6275 1st Qu.:-0.39748 1st Qu.:-0.3550
## Median : 0.0800 Median : 0.0000 Median : 0.00000 Median : 0.0000
## Mean :-0.1590 Mean :-0.2555 Mean :-0.05848 Mean : 0.2065
## 3rd Qu.: 0.7612 3rd Qu.: 0.8413 3rd Qu.: 0.49752 3rd Qu.: 0.7800
## Max. : 2.1900 Max. : 2.2300 Max. : 1.82002 Max. : 1.4850
## data.5920 data.5921 data.5922 data.5923
## Min. :-2.8700 Min. :-2.6550 Min. :-1.8300 Min. :-1.8800
## 1st Qu.:-0.8125 1st Qu.:-1.6287 1st Qu.:-0.3925 1st Qu.:-0.2800
## Median : 0.0400 Median : 0.1275 Median : 0.0900 Median : 0.1600
## Mean :-0.1366 Mean :-0.1520 Mean : 0.1975 Mean : 0.1670
## 3rd Qu.: 0.7775 3rd Qu.: 1.4075 3rd Qu.: 0.8912 3rd Qu.: 0.6687
## Max. : 1.9500 Max. : 2.4650 Max. : 2.1100 Max. : 1.6300
## data.5924 data.5925 data.5926 data.5927
## Min. :-2.49502 Min. :-2.410020 Min. :-2.9800 Min. :-4.15498
## 1st Qu.:-0.47500 1st Qu.:-0.412500 1st Qu.:-0.3250 1st Qu.:-0.46997
## Median : 0.04000 Median : 0.000000 Median : 0.0050 Median : 0.10504
## Mean : 0.08025 Mean :-0.007001 Mean :-0.1195 Mean : 0.01079
## 3rd Qu.: 0.99751 3rd Qu.: 0.479985 3rd Qu.: 0.2800 3rd Qu.: 0.72004
## Max. : 2.50500 Max. : 1.970000 Max. : 1.6800 Max. : 1.57504
## data.5928 data.5929 data.5930 data.5931
## Min. :-2.52002 Min. :-0.720020 Min. :-3.11000 Min. :-2.8900
## 1st Qu.:-0.20000 1st Qu.:-0.262500 1st Qu.:-1.24000 1st Qu.:-1.2650
## Median : 0.05501 Median : 0.015000 Median :-0.03002 Median :-0.0500
## Mean : 0.06775 Mean : 0.009749 Mean :-0.45750 Mean :-0.2165
## 3rd Qu.: 0.54747 3rd Qu.: 0.222500 3rd Qu.: 0.35250 3rd Qu.: 0.7425
## Max. : 1.49000 Max. : 0.960000 Max. : 1.70000 Max. : 2.0300
## data.5932 data.5933 data.5934 data.5935
## Min. :-2.62500 Min. :-1.9800 Min. :-0.9200 Min. :-1.5500
## 1st Qu.:-0.97999 1st Qu.:-0.3725 1st Qu.:-0.2288 1st Qu.:-0.5600
## Median :-0.05500 Median : 0.2350 Median : 0.0200 Median : 0.1100
## Mean :-0.06525 Mean : 0.2857 Mean : 0.2285 Mean : 0.0350
## 3rd Qu.: 0.79000 3rd Qu.: 1.1500 3rd Qu.: 0.7525 3rd Qu.: 0.7013
## Max. : 2.14500 Max. : 2.1200 Max. : 1.5200 Max. : 1.8700
## data.5936 data.5937 data.5938 data.5939
## Min. :-1.550 Min. :-4.245 Min. :-2.560 Min. :-3.13500
## 1st Qu.:-0.310 1st Qu.:-1.510 1st Qu.:-0.865 1st Qu.:-1.24499
## Median : 0.110 Median : 0.215 Median : 0.095 Median : 0.04000
## Mean : 0.095 Mean :-0.086 Mean : 0.026 Mean :-0.06825
## 3rd Qu.: 0.685 3rd Qu.: 1.597 3rd Qu.: 1.222 3rd Qu.: 1.23500
## Max. : 1.460 Max. : 2.565 Max. : 2.350 Max. : 1.93500
## data.5940 data.5941 data.5942 data.5943
## Min. :-4.1800 Min. :-2.890 Min. :-3.0450 Min. :-2.8000
## 1st Qu.:-0.7775 1st Qu.:-1.068 1st Qu.:-1.2050 1st Qu.:-0.8825
## Median : 0.4600 Median :-0.170 Median : 0.3625 Median : 0.0000
## Mean : 0.2135 Mean : 0.224 Mean : 0.9501 Mean : 0.6374
## 3rd Qu.: 1.5300 3rd Qu.: 1.500 3rd Qu.: 3.6250 3rd Qu.: 1.9350
## Max. : 2.6500 Max. : 2.820 Max. : 4.8550 Max. : 6.8800
## data.5944 data.5945 data.5946 data.5947
## Min. :-1.24998 Min. :-1.72000 Min. :-2.8500 Min. :-2.24000
## 1st Qu.:-0.48498 1st Qu.:-0.55751 1st Qu.:-1.2650 1st Qu.:-0.87625
## Median : 0.05003 Median :-0.08999 Median :-0.0200 Median :-0.05499
## Mean : 0.55477 Mean : 0.46125 Mean : 0.2212 Mean : 0.23300
## 3rd Qu.: 1.78002 3rd Qu.: 1.92000 3rd Qu.: 1.5800 3rd Qu.: 1.09750
## Max. : 3.20002 Max. : 3.46000 Max. : 3.8450 Max. : 3.38500
## data.5948 data.5949 data.5950 data.5951
## Min. :-3.2400 Min. :-0.9950 Min. :-1.6800 Min. :-1.2600
## 1st Qu.:-1.9525 1st Qu.:-0.3275 1st Qu.:-0.9475 1st Qu.:-0.0875
## Median : 0.0000 Median : 0.2000 Median : 0.0000 Median : 0.1650
## Mean : 0.0355 Mean : 0.3325 Mean : 0.4319 Mean : 0.2846
## 3rd Qu.: 1.7250 3rd Qu.: 0.7050 3rd Qu.: 1.5000 3rd Qu.: 0.6525
## Max. : 4.7650 Max. : 2.5450 Max. : 4.3400 Max. : 2.0300
## data.5952 data.5953 data.5954 data.5955
## Min. :-2.12499 Min. :-2.5375 Min. :-1.61998 Min. :-3.7550
## 1st Qu.:-0.55001 1st Qu.:-0.7825 1st Qu.:-0.22750 1st Qu.:-0.5500
## Median : 0.08000 Median : 0.0000 Median : 0.12498 Median : 0.0700
## Mean : 0.05876 Mean :-0.2585 Mean : 0.07075 Mean :-0.2753
## 3rd Qu.: 0.77876 3rd Qu.: 0.4225 3rd Qu.: 0.51000 3rd Qu.: 0.6238
## Max. : 2.13501 Max. : 0.8025 Max. : 1.34500 Max. : 2.2100
## data.5956 data.5957 data.5958 data.5959
## Min. :-1.87000 Min. :-2.0100 Min. :-2.1400 Min. :-0.975000
## 1st Qu.:-0.74250 1st Qu.:-1.3550 1st Qu.:-0.9325 1st Qu.:-0.275000
## Median : 0.14500 Median :-0.3450 Median : 0.0000 Median : 0.000000
## Mean :-0.02763 Mean :-0.1335 Mean :-0.2000 Mean : 0.009248
## 3rd Qu.: 0.54000 3rd Qu.: 1.0425 3rd Qu.: 0.5325 3rd Qu.: 0.297500
## Max. : 1.27500 Max. : 1.9400 Max. : 1.7700 Max. : 1.630000
## data.5960 data.5961 data.5962 data.5963
## Min. :-2.1800 Min. :-1.89996 Min. :-2.2150 Min. :-1.74002
## 1st Qu.:-0.4075 1st Qu.:-0.33248 1st Qu.:-0.8088 1st Qu.:-0.67250
## Median : 0.0600 Median : 0.09002 Median :-0.0850 Median :-0.01500
## Mean : 0.0265 Mean : 0.10252 Mean :-0.0730 Mean :-0.06663
## 3rd Qu.: 0.7375 3rd Qu.: 0.60127 3rd Qu.: 0.8350 3rd Qu.: 0.56500
## Max. : 2.3800 Max. : 2.44002 Max. : 1.9550 Max. : 1.08000
## data.5964 data.5965 data.5966 data.5967
## Min. :-2.59502 Min. :-1.41000 Min. :-1.3000 Min. :-1.56000
## 1st Qu.:-0.83001 1st Qu.:-0.58003 1st Qu.:-0.2025 1st Qu.:-0.52878
## Median :-0.03249 Median :-0.05999 Median : 0.0050 Median : 0.03750
## Mean :-0.27013 Mean :-0.12300 Mean : 0.1640 Mean : 0.03725
## 3rd Qu.: 0.39750 3rd Qu.: 0.27750 3rd Qu.: 0.6475 3rd Qu.: 0.60250
## Max. : 1.29500 Max. : 1.47000 Max. : 1.7200 Max. : 1.76000
## data.5968 data.5969 data.5970 data.5971
## Min. :-1.66000 Min. :-1.47002 Min. :-2.8800 Min. :-2.1800
## 1st Qu.:-0.43750 1st Qu.:-0.37251 1st Qu.:-1.2950 1st Qu.:-1.1075
## Median : 0.00000 Median : 0.08499 Median : 0.0000 Median : 0.0000
## Mean :-0.01225 Mean : 0.03950 Mean : 0.2132 Mean : 0.3187
## 3rd Qu.: 0.42250 3rd Qu.: 0.44500 3rd Qu.: 1.8025 3rd Qu.: 1.9300
## Max. : 1.40000 Max. : 1.39000 Max. : 4.2200 Max. : 4.2600
## data.5972 data.5973 data.5974 data.5975
## Min. :-2.8050 Min. :-3.1700 Min. :-0.98500 Min. :-1.4800
## 1st Qu.:-1.2650 1st Qu.:-1.5950 1st Qu.:-0.28000 1st Qu.:-0.4225
## Median :-0.0125 Median : 0.0000 Median : 0.09499 Median : 0.0000
## Mean : 0.3102 Mean : 0.1693 Mean : 0.10662 Mean : 0.0860
## 3rd Qu.: 2.1575 3rd Qu.: 1.6850 3rd Qu.: 0.41500 3rd Qu.: 0.6275
## Max. : 4.6250 Max. : 4.6100 Max. : 1.22000 Max. : 1.6900
## data.5976 data.5977 data.5978 data.5979
## Min. :-2.9100 Min. :-0.9400 Min. :-0.77000 Min. :-3.4000
## 1st Qu.:-0.7750 1st Qu.:-0.3125 1st Qu.:-0.32500 1st Qu.:-0.7925
## Median : 0.0000 Median : 0.1050 Median :-0.04499 Median : 0.0200
## Mean : 0.2875 Mean : 0.1200 Mean : 0.12887 Mean : 0.7074
## 3rd Qu.: 1.6150 3rd Qu.: 0.4850 3rd Qu.: 0.38000 3rd Qu.: 2.2700
## Max. : 3.6500 Max. : 1.2250 Max. : 1.65500 Max. : 4.3800
## data.5980 data.5981 data.5982 data.5983
## Min. :-2.9650 Min. :-2.6100 Min. :-1.21000 Min. :-2.5700
## 1st Qu.:-1.4425 1st Qu.:-0.9350 1st Qu.:-0.51751 1st Qu.:-1.7850
## Median : 0.1175 Median : 0.0000 Median : 0.00000 Median : 0.1050
## Mean : 0.6461 Mean : 0.5306 Mean : 0.01075 Mean :-0.4318
## 3rd Qu.: 2.3925 3rd Qu.: 1.8625 3rd Qu.: 0.42500 3rd Qu.: 0.4350
## Max. : 4.9650 Max. : 4.3000 Max. : 1.36500 Max. : 1.3200
## data.5984 data.5985 data.5986 data.5987
## Min. :-5.2150 Min. :-3.3450 Min. :-1.8300 Min. :-2.33002
## 1st Qu.:-0.6612 1st Qu.:-0.7025 1st Qu.:-0.5100 1st Qu.:-0.47500
## Median : 0.4450 Median : 0.0000 Median : 0.1400 Median : 0.12749
## Mean :-0.3065 Mean :-0.1870 Mean : 0.0400 Mean : 0.03675
## 3rd Qu.: 0.8025 3rd Qu.: 0.7850 3rd Qu.: 0.7425 3rd Qu.: 0.48500
## Max. : 1.9550 Max. : 2.5050 Max. : 1.6400 Max. : 1.83000
## data.5988 data.5989 data.5990 data.5991
## Min. :-3.9500 Min. :-2.7000 Min. :-1.41502 Min. :-2.5000
## 1st Qu.:-1.0775 1st Qu.:-0.9025 1st Qu.:-0.35500 1st Qu.:-0.2500
## Median : 0.0700 Median : 0.2900 Median : 0.02250 Median : 0.0050
## Mean :-0.0305 Mean : 0.1615 Mean : 0.03537 Mean : 0.0505
## 3rd Qu.: 0.9613 3rd Qu.: 1.2188 3rd Qu.: 0.36750 3rd Qu.: 0.4425
## Max. : 3.4100 Max. : 3.2000 Max. : 1.78500 Max. : 1.2000
## data.5992 data.5993 data.5994 data.5995
## Min. :-1.3100 Min. :-2.5500 Min. :-2.9350 Min. :-3.11000
## 1st Qu.:-0.2675 1st Qu.:-0.1775 1st Qu.:-0.1775 1st Qu.:-0.23251
## Median : 0.1700 Median : 0.2075 Median : 0.1400 Median : 0.13750
## Mean : 0.2007 Mean : 0.1560 Mean : 0.1197 Mean : 0.08662
## 3rd Qu.: 0.8125 3rd Qu.: 0.8050 3rd Qu.: 0.5325 3rd Qu.: 0.48750
## Max. : 1.5900 Max. : 1.8100 Max. : 1.1950 Max. : 1.12000
## data.5996 data.5997 data.5998 data.5999
## Min. :-1.34998 Min. :-1.4650 Min. :-1.660 Min. :-1.0125
## 1st Qu.:-0.04748 1st Qu.:-0.2475 1st Qu.:-0.260 1st Qu.:-0.2250
## Median : 0.34002 Median : 0.2400 Median : 0.375 Median : 0.1925
## Mean : 0.24627 Mean : 0.2287 Mean : 0.299 Mean : 0.1255
## 3rd Qu.: 0.53502 3rd Qu.: 0.5400 3rd Qu.: 0.665 3rd Qu.: 0.5125
## Max. : 1.40002 Max. : 1.7000 Max. : 2.200 Max. : 0.9775
## data.6000 data.6001 data.6002 data.6003
## Min. :-0.8200 Min. :-1.1300 Min. :-1.5300 Min. :-1.160
## 1st Qu.:-0.3700 1st Qu.:-0.3850 1st Qu.:-0.3500 1st Qu.:-0.225
## Median : 0.2300 Median : 0.1800 Median : 0.1500 Median : 0.200
## Mean : 0.1572 Mean : 0.1485 Mean : 0.0850 Mean : 0.226
## 3rd Qu.: 0.6050 3rd Qu.: 0.5300 3rd Qu.: 0.4975 3rd Qu.: 0.485
## Max. : 1.3100 Max. : 1.2500 Max. : 1.2550 Max. : 1.640
## data.6004 data.6005 data.6006 data.6007
## Min. :-1.2100 Min. :-0.9650 Min. :-0.9600 Min. :-1.4550
## 1st Qu.:-0.1900 1st Qu.:-0.2000 1st Qu.:-0.1750 1st Qu.:-0.2000
## Median : 0.1700 Median : 0.1000 Median : 0.2300 Median : 0.3725
## Mean : 0.2093 Mean : 0.1519 Mean : 0.3137 Mean : 0.3529
## 3rd Qu.: 0.6275 3rd Qu.: 0.3975 3rd Qu.: 0.7037 3rd Qu.: 1.0975
## Max. : 1.5600 Max. : 1.3250 Max. : 2.1000 Max. : 1.9550
## data.6008 data.6009 data.6010 data.6011
## Min. :-1.5300 Min. :-2.71000 Min. :-2.2950 Min. :-1.67002
## 1st Qu.:-0.1125 1st Qu.:-0.58250 1st Qu.:-0.6000 1st Qu.:-0.42500
## Median : 0.0600 Median : 0.20999 Median : 0.3200 Median : 0.00000
## Mean : 0.1777 Mean : 0.09012 Mean : 0.1857 Mean : 0.04062
## 3rd Qu.: 0.4325 3rd Qu.: 0.59500 3rd Qu.: 0.7900 3rd Qu.: 0.50250
## Max. : 1.5500 Max. : 1.83500 Max. : 2.4400 Max. : 2.32000
## data.6012 data.6013 data.6014 data.6015
## Min. :-0.73998 Min. :-1.42500 Min. :-1.190 Min. :-1.0400
## 1st Qu.:-0.16498 1st Qu.:-0.53500 1st Qu.:-0.360 1st Qu.:-0.2675
## Median : 0.03502 Median : 0.05000 Median : 0.115 Median : 0.3950
## Mean : 0.09852 Mean : 0.04412 Mean : 0.169 Mean : 0.3362
## 3rd Qu.: 0.37002 3rd Qu.: 0.47000 3rd Qu.: 0.475 3rd Qu.: 0.9675
## Max. : 1.29002 Max. : 1.49500 Max. : 1.590 Max. : 2.1600
## data.6016 data.6017 data.6018 data.6019
## Min. :-0.96000 Min. :-4.3000 Min. :-4.3100 Min. :-1.30000
## 1st Qu.:-0.10750 1st Qu.:-0.3575 1st Qu.:-0.4800 1st Qu.:-0.28999
## Median : 0.07499 Median : 0.0050 Median : 0.0600 Median : 0.04001
## Mean : 0.03925 Mean :-0.1048 Mean :-0.2846 Mean : 0.05275
## 3rd Qu.: 0.29250 3rd Qu.: 0.4400 3rd Qu.: 0.4250 3rd Qu.: 0.37250
## Max. : 0.89000 Max. : 1.9800 Max. : 1.3200 Max. : 1.56000
## data.6020 data.6021 data.6022 data.6023
## Min. :-1.21999 Min. :-0.77000 Min. :-1.58000 Min. :-1.1900
## 1st Qu.:-0.35249 1st Qu.:-0.15500 1st Qu.:-0.24000 1st Qu.:-0.2175
## Median : 0.10501 Median : 0.00000 Median : 0.07999 Median : 0.0650
## Mean : 0.07676 Mean : 0.09562 Mean : 0.17112 Mean : 0.0210
## 3rd Qu.: 0.41251 3rd Qu.: 0.25999 3rd Qu.: 0.67000 3rd Qu.: 0.3300
## Max. : 2.08001 Max. : 1.51000 Max. : 1.86000 Max. : 1.3300
## data.6024 data.6025 data.6026 data.6027
## Min. :-2.2000 Min. :-0.7450 Min. :-0.85003 Min. :-1.130000
## 1st Qu.:-0.1900 1st Qu.:-0.1325 1st Qu.:-0.20001 1st Qu.:-0.132495
## Median : 0.0875 Median : 0.1300 Median : 0.05497 Median : 0.044990
## Mean : 0.0600 Mean : 0.1721 Mean : 0.01624 Mean : 0.009749
## 3rd Qu.: 0.5075 3rd Qu.: 0.4775 3rd Qu.: 0.19999 3rd Qu.: 0.232485
## Max. : 1.0600 Max. : 1.1350 Max. : 0.71999 Max. : 0.490000
## data.6028 data.6029 data.6030 data.6031
## Min. :-1.55998 Min. :-1.20998 Min. :-0.6975 Min. :-1.73998
## 1st Qu.:-0.27251 1st Qu.:-0.23250 1st Qu.:-0.2500 1st Qu.:-0.31875
## Median : 0.06999 Median : 0.14999 Median : 0.0775 Median : 0.17750
## Mean : 0.07737 Mean : 0.07325 Mean : 0.1062 Mean : 0.04975
## 3rd Qu.: 0.46750 3rd Qu.: 0.39875 3rd Qu.: 0.3275 3rd Qu.: 0.50000
## Max. : 1.01000 Max. : 1.25000 Max. : 1.3925 Max. : 1.02000
## data.6032 data.6033 data.6034 data.6035
## Min. :-1.1450 Min. :-1.180020 Min. :-1.2050 Min. :-3.30000
## 1st Qu.:-0.1300 1st Qu.:-0.342500 1st Qu.:-0.3275 1st Qu.:-0.72750
## Median : 0.1450 Median : 0.020000 Median :-0.0250 Median : 0.01250
## Mean : 0.1664 Mean : 0.007249 Mean : 0.1025 Mean :-0.07125
## 3rd Qu.: 0.5200 3rd Qu.: 0.382500 3rd Qu.: 0.4650 3rd Qu.: 0.60250
## Max. : 1.4650 Max. : 1.660000 Max. : 1.9350 Max. : 1.51000
## data.6036 data.6037 data.6038 data.6039
## Min. :-1.14000 Min. :-1.3000 Min. :-1.2300 Min. :-1.71500
## 1st Qu.:-0.28250 1st Qu.:-0.2013 1st Qu.:-0.2625 1st Qu.:-0.51750
## Median :-0.04500 Median : 0.1600 Median : 0.0600 Median : 0.00250
## Mean : 0.01475 Mean : 0.1097 Mean : 0.0620 Mean :-0.02175
## 3rd Qu.: 0.33249 3rd Qu.: 0.4562 3rd Qu.: 0.3975 3rd Qu.: 0.48250
## Max. : 0.87000 Max. : 1.2200 Max. : 1.3400 Max. : 1.47500
## data.6040 data.6041 data.6042 data.6043
## Min. :-0.7800 Min. :-1.88498 Min. :-1.77002 Min. :-0.4900
## 1st Qu.:-0.2450 1st Qu.:-0.45998 1st Qu.:-0.33752 1st Qu.:-0.2125
## Median : 0.0700 Median : 0.08002 Median :-0.01003 Median : 0.1750
## Mean : 0.1350 Mean : 0.01752 Mean :-0.03740 Mean : 0.1470
## 3rd Qu.: 0.4425 3rd Qu.: 0.39502 3rd Qu.: 0.34498 3rd Qu.: 0.3350
## Max. : 1.7000 Max. : 2.00502 Max. : 0.93998 Max. : 1.6900
## data.6044 data.6045 data.6046 data.6047
## Min. :-1.3200 Min. :-1.565010 Min. :-2.6000 Min. :-2.35000
## 1st Qu.:-0.3950 1st Qu.:-0.530010 1st Qu.:-0.4850 1st Qu.:-0.55500
## Median : 0.1350 Median : 0.002495 Median : 0.3150 Median : 0.00000
## Mean : 0.1430 Mean :-0.034260 Mean : 0.2222 Mean :-0.03513
## 3rd Qu.: 0.6775 3rd Qu.: 0.542490 3rd Qu.: 1.1950 3rd Qu.: 0.49250
## Max. : 1.8300 Max. : 1.364990 Max. : 3.0800 Max. : 1.76000
## data.6048 data.6049 data.6050 data.6051
## Min. :-1.1600 Min. :-1.03501 Min. :-1.0300 Min. :-0.6600
## 1st Qu.:-0.1925 1st Qu.:-0.30252 1st Qu.:-0.3475 1st Qu.:-0.1475
## Median : 0.3350 Median : 0.15499 Median : 0.1350 Median : 0.1150
## Mean : 0.2227 Mean : 0.01974 Mean : 0.1904 Mean : 0.1361
## 3rd Qu.: 0.7650 3rd Qu.: 0.34249 3rd Qu.: 0.6225 3rd Qu.: 0.4225
## Max. : 1.6600 Max. : 1.28999 Max. : 2.0600 Max. : 1.3450
## data.6052 data.6053 data.6054 data.6055
## Min. :-1.47000 Min. :-3.8800 Min. :-3.4700 Min. :-3.9550
## 1st Qu.:-0.18250 1st Qu.:-0.8150 1st Qu.:-0.8500 1st Qu.:-0.9025
## Median : 0.06500 Median : 0.1650 Median : 0.1300 Median : 0.1150
## Mean :-0.02488 Mean :-0.2415 Mean :-0.2823 Mean :-0.3332
## 3rd Qu.: 0.38250 3rd Qu.: 0.7600 3rd Qu.: 0.8250 3rd Qu.: 0.9275
## Max. : 1.05500 Max. : 2.1350 Max. : 2.1550 Max. : 2.3700
## data.6056 data.6057 data.6058 data.6059
## Min. :-2.2200 Min. :-2.38000 Min. :-3.9200 Min. :-1.4400
## 1st Qu.:-0.8638 1st Qu.:-0.02500 1st Qu.:-0.1750 1st Qu.:-0.2975
## Median : 0.0350 Median : 0.00000 Median : 0.3550 Median : 0.4025
## Mean : 0.1082 Mean : 0.05462 Mean : 0.1802 Mean : 0.2535
## 3rd Qu.: 0.6450 3rd Qu.: 0.27500 3rd Qu.: 0.6850 3rd Qu.: 0.8925
## Max. : 3.1600 Max. : 1.38000 Max. : 1.6600 Max. : 1.6500
## data.6060 data.6061 data.6062 data.6063
## Min. :-1.4200 Min. :-0.9600 Min. :-1.43999 Min. :-1.9400
## 1st Qu.:-0.1800 1st Qu.:-0.2825 1st Qu.:-0.43000 1st Qu.:-0.4325
## Median : 0.2700 Median : 0.2550 Median : 0.12501 Median :-0.0350
## Mean : 0.2257 Mean : 0.1855 Mean : 0.07001 Mean : 0.0670
## 3rd Qu.: 0.7125 3rd Qu.: 0.5450 3rd Qu.: 0.57751 3rd Qu.: 0.7450
## Max. : 1.4000 Max. : 1.1100 Max. : 1.50001 Max. : 1.7100
## data.6064 data.6065 data.6066 data.6067
## Min. :-1.890 Min. :-1.73500 Min. :-2.14000 Min. :-3.2100
## 1st Qu.:-0.390 1st Qu.:-0.62500 1st Qu.:-0.29251 1st Qu.:-0.4225
## Median :-0.030 Median :-0.00750 Median : 0.01500 Median : 0.0750
## Mean : 0.084 Mean :-0.07013 Mean : 0.02975 Mean :-0.0655
## 3rd Qu.: 0.745 3rd Qu.: 0.40750 3rd Qu.: 0.42500 3rd Qu.: 0.5700
## Max. : 1.860 Max. : 1.83500 Max. : 1.19500 Max. : 1.4800
## data.6068 data.6069 data.6070 data.6071
## Min. :-4.40002 Min. :-1.99000 Min. :-3.1200 Min. :-3.3900
## 1st Qu.:-0.34500 1st Qu.:-0.28250 1st Qu.:-0.3075 1st Qu.:-0.3113
## Median : 0.07500 Median : 0.16000 Median : 0.0900 Median : 0.0450
## Mean :-0.06625 Mean : 0.08225 Mean :-0.0340 Mean :-0.0655
## 3rd Qu.: 0.67500 3rd Qu.: 0.54750 3rd Qu.: 0.6000 3rd Qu.: 0.5425
## Max. : 2.65000 Max. : 1.27000 Max. : 1.1600 Max. : 1.2400
## data.6072 data.6073 data.6074 data.6075
## Min. :-1.32499 Min. :-1.27500 Min. :-0.980000 Min. :-1.730000
## 1st Qu.:-0.93747 1st Qu.:-0.50000 1st Qu.:-0.170010 1st Qu.:-0.432500
## Median : 0.06001 Median : 0.05499 Median : 0.030000 Median : 0.069990
## Mean :-0.02799 Mean : 0.06275 Mean : 0.004999 Mean : 0.001998
## 3rd Qu.: 0.63001 3rd Qu.: 0.59250 3rd Qu.: 0.197515 3rd Qu.: 0.417500
## Max. : 1.31001 Max. : 1.64000 Max. : 0.650000 Max. : 1.530000
## data.6076 data.6077 data.6078 data.6079
## Min. :-0.92000 Min. :-0.6800 Min. :-1.33000 Min. :-2.2100
## 1st Qu.:-0.20500 1st Qu.:-0.1825 1st Qu.:-0.48501 1st Qu.:-0.6025
## Median : 0.05501 Median : 0.0175 Median : 0.14499 Median : 0.2450
## Mean : 0.12187 Mean : 0.1204 Mean : 0.08925 Mean : 0.1263
## 3rd Qu.: 0.42999 3rd Qu.: 0.3400 3rd Qu.: 0.44000 3rd Qu.: 0.7225
## Max. : 1.56500 Max. : 1.5800 Max. : 2.18000 Max. : 2.4000
## data.6080 data.6081 data.6082 data.6083
## Min. :-1.39000 Min. :-1.20998 Min. :-1.72998 Min. :-1.10000
## 1st Qu.:-0.44250 1st Qu.:-0.41248 1st Qu.:-0.38998 1st Qu.:-0.36500
## Median : 0.02750 Median : 0.03002 Median : 0.04002 Median : 0.07498
## Mean :-0.01825 Mean : 0.07127 Mean : 0.36464 Mean : 0.22100
## 3rd Qu.: 0.47250 3rd Qu.: 0.58252 3rd Qu.: 1.36752 3rd Qu.: 0.73000
## Max. : 1.56000 Max. : 1.53002 Max. : 2.86002 Max. : 2.59000
## data.6084 data.6085 data.6086 data.6087
## Min. :-4.3600 Min. :-2.8800 Min. :-3.1600 Min. :-4.27002
## 1st Qu.:-1.0725 1st Qu.:-0.9975 1st Qu.:-1.0250 1st Qu.:-1.33625
## Median : 0.0000 Median : 0.0250 Median : 0.0000 Median : 0.09500
## Mean : 0.3475 Mean : 0.0345 Mean : 0.2156 Mean : 0.09025
## 3rd Qu.: 1.6700 3rd Qu.: 1.1350 3rd Qu.: 1.2375 3rd Qu.: 1.37750
## Max. : 5.3900 Max. : 3.2900 Max. : 3.8100 Max. : 4.16000
## data.6088 data.6089 data.6090 data.6091
## Min. :-2.3900 Min. :-1.29000 Min. :-1.9250 Min. :-0.8500
## 1st Qu.:-0.6500 1st Qu.:-0.25250 1st Qu.:-0.7625 1st Qu.:-0.2225
## Median : 0.0000 Median : 0.00498 Median : 0.0000 Median : 0.2350
## Mean : 0.2644 Mean : 0.18662 Mean : 0.1330 Mean : 0.2767
## 3rd Qu.: 1.3250 3rd Qu.: 0.47500 3rd Qu.: 0.6900 3rd Qu.: 0.8225
## Max. : 3.4300 Max. : 2.93000 Max. : 2.1650 Max. : 1.5500
## data.6092 data.6093 data.6094 data.6095
## Min. :-0.7150 Min. :-1.15498 Min. :-1.099980 Min. :-1.17000
## 1st Qu.:-0.3025 1st Qu.:-0.25751 1st Qu.:-0.331250 1st Qu.:-0.26625
## Median : 0.0050 Median : 0.01750 Median : 0.050000 Median : 0.15000
## Mean : 0.1307 Mean : 0.06237 Mean : 0.004248 Mean : 0.04625
## 3rd Qu.: 0.4625 3rd Qu.: 0.36000 3rd Qu.: 0.427495 3rd Qu.: 0.41500
## Max. : 1.3350 Max. : 1.45500 Max. : 0.950000 Max. : 1.17000
## data.6096 data.6097 data.6098 data.6099
## Min. :-1.33000 Min. :-1.3750 Min. :-1.9000 Min. :-2.1000
## 1st Qu.:-0.29500 1st Qu.:-0.5075 1st Qu.:-0.2600 1st Qu.:-0.1600
## Median : 0.14000 Median : 0.0150 Median : 0.0000 Median : 0.1350
## Mean : 0.07725 Mean :-0.0765 Mean : 0.0465 Mean : 0.1924
## 3rd Qu.: 0.54250 3rd Qu.: 0.3775 3rd Qu.: 0.6375 3rd Qu.: 0.7725
## Max. : 1.60000 Max. : 0.7650 Max. : 1.1200 Max. : 1.6900
## data.6100 data.6101 data.6102 data.6103
## Min. :-2.84000 Min. :-0.6000 Min. :-1.8300 Min. :-0.9750
## 1st Qu.:-0.45250 1st Qu.:-0.1550 1st Qu.:-0.4375 1st Qu.:-0.2575
## Median : 0.02000 Median : 0.0000 Median : 0.0450 Median : 0.0250
## Mean :-0.09388 Mean : 0.2129 Mean : 0.1505 Mean : 0.1165
## 3rd Qu.: 0.43499 3rd Qu.: 0.4925 3rd Qu.: 0.6450 3rd Qu.: 0.4500
## Max. : 1.60000 Max. : 2.3950 Max. : 2.8850 Max. : 1.3650
## data.6104 data.6105 data.6106 data.6107
## Min. :-2.785000 Min. :-1.440 Min. :-1.2400 Min. :-0.9950
## 1st Qu.:-0.560000 1st Qu.:-0.255 1st Qu.:-0.1525 1st Qu.:-0.4850
## Median : 0.002500 Median : 0.115 Median : 0.0700 Median : 0.0000
## Mean :-0.008876 Mean : 0.145 Mean : 0.1130 Mean :-0.0645
## 3rd Qu.: 0.802500 3rd Qu.: 0.465 3rd Qu.: 0.4900 3rd Qu.: 0.1575
## Max. : 2.055000 Max. : 1.680 Max. : 1.7900 Max. : 0.8650
## data.6108 data.6109 data.6110 data.6111
## Min. :-0.98500 Min. :-1.28500 Min. :-0.91000 Min. :-1.09500
## 1st Qu.:-0.23750 1st Qu.:-0.35000 1st Qu.:-0.36000 1st Qu.:-0.48001
## Median :-0.03000 Median : 0.01000 Median : 0.02000 Median : 0.02000
## Mean :-0.03375 Mean :-0.04625 Mean :-0.01575 Mean :-0.04775
## 3rd Qu.: 0.16750 3rd Qu.: 0.21750 3rd Qu.: 0.26500 3rd Qu.: 0.25000
## Max. : 1.00000 Max. : 1.14000 Max. : 1.14500 Max. : 1.37000
## data.6112 data.6113 data.6114 data.6115
## Min. :-1.02000 Min. :-0.96000 Min. :-1.0200 Min. :-0.87503
## 1st Qu.:-0.29500 1st Qu.:-0.42875 1st Qu.:-0.3613 1st Qu.:-0.36251
## Median : 0.01000 Median : 0.00000 Median :-0.0050 Median :-0.04001
## Mean : 0.02425 Mean :-0.02325 Mean : 0.0550 Mean : 0.01061
## 3rd Qu.: 0.34500 3rd Qu.: 0.25500 3rd Qu.: 0.4125 3rd Qu.: 0.28999
## Max. : 1.46500 Max. : 1.21500 Max. : 1.3050 Max. : 2.56999
## data.6116 data.6117 data.6118 data.6119
## Min. :-0.93000 Min. :-1.12500 Min. :-0.8600 Min. :-1.590
## 1st Qu.:-0.49000 1st Qu.:-0.50499 1st Qu.:-0.1550 1st Qu.:-0.405
## Median : 0.00500 Median : 0.03500 Median : 0.1150 Median :-0.015
## Mean :-0.05088 Mean :-0.03388 Mean : 0.1624 Mean :-0.063
## 3rd Qu.: 0.18500 3rd Qu.: 0.25500 3rd Qu.: 0.3950 3rd Qu.: 0.350
## Max. : 1.94500 Max. : 1.61000 Max. : 1.2400 Max. : 1.090
## data.6120 data.6121 data.6122 data.6123
## Min. :-1.680029 Min. :-1.2849810 Min. :-1.86502 Min. :-2.38004
## 1st Qu.:-0.433760 1st Qu.:-0.2987305 1st Qu.:-0.75001 1st Qu.:-0.78002
## Median : 0.035000 Median : 0.0000098 Median : 0.05000 Median : 0.07998
## Mean :-0.003011 Mean : 0.0197680 Mean :-0.08463 Mean :-0.13977
## 3rd Qu.: 0.529990 3rd Qu.: 0.4825195 3rd Qu.: 0.45750 3rd Qu.: 0.44748
## Max. : 1.529990 Max. : 1.4950190 Max. : 1.79000 Max. : 1.73498
## data.6124 data.6125 data.6126 data.6127
## Min. :-3.2000 Min. :-0.79998 Min. :-0.72998 Min. :-1.11998
## 1st Qu.:-0.8550 1st Qu.:-0.32999 1st Qu.:-0.20248 1st Qu.:-0.12749
## Median : 0.3150 Median : 0.01502 Median : 0.06502 Median : 0.05002
## Mean : 0.1687 Mean :-0.01036 Mean : 0.07839 Mean : 0.14877
## 3rd Qu.: 1.1125 3rd Qu.: 0.21002 3rd Qu.: 0.37252 3rd Qu.: 0.57002
## Max. : 2.6000 Max. : 0.79002 Max. : 1.02502 Max. : 1.85002
## data.6128 data.6129 data.6130 data.6131
## Min. :-2.7550 Min. :-0.96994 Min. :-0.69002 Min. :-0.8000
## 1st Qu.:-1.0075 1st Qu.:-0.13246 1st Qu.:-0.37000 1st Qu.:-0.3250
## Median : 0.3450 Median : 0.01502 Median : 0.00500 Median : 0.1000
## Mean : 0.2843 Mean : 0.05729 Mean : 0.09212 Mean : 0.2075
## 3rd Qu.: 1.1900 3rd Qu.: 0.25754 3rd Qu.: 0.24875 3rd Qu.: 0.7850
## Max. : 4.1150 Max. : 1.17004 Max. : 1.87000 Max. : 2.1600
## data.6132 data.6133 data.6134 data.6135
## Min. :-1.37000 Min. :-4.48000 Min. :-1.86998 Min. :-1.2450
## 1st Qu.:-0.30375 1st Qu.:-0.61501 1st Qu.:-0.39748 1st Qu.:-0.3875
## Median :-0.01000 Median : 0.18500 Median : 0.06502 Median : 0.0075
## Mean : 0.02825 Mean : 0.08825 Mean : 0.25127 Mean : 0.1030
## 3rd Qu.: 0.47875 3rd Qu.: 0.89750 3rd Qu.: 0.94502 3rd Qu.: 0.4800
## Max. : 1.00000 Max. : 3.02500 Max. : 2.62502 Max. : 1.9200
## data.6136 data.6137 data.6138 data.6139
## Min. :-1.8250 Min. :-2.23502 Min. :-1.3950 Min. :-1.6950
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## Median : 0.1350 Median : 0.01500 Median : 0.0850 Median : 0.0550
## Mean : 0.1870 Mean : 0.07275 Mean : 0.0405 Mean : 0.1998
## 3rd Qu.: 0.8600 3rd Qu.: 0.47750 3rd Qu.: 0.3725 3rd Qu.: 0.8900
## Max. : 1.4500 Max. : 2.18000 Max. : 1.2800 Max. : 1.5250
## data.6140 data.6141 data.6142 data.6143
## Min. :-2.4200 Min. :-3.4700 Min. :-3.0700 Min. :-4.7800
## 1st Qu.:-0.3475 1st Qu.:-0.4275 1st Qu.:-0.3675 1st Qu.:-0.3625
## Median : 0.0050 Median : 0.0150 Median : 0.0000 Median : 0.0600
## Mean :-0.1450 Mean :-0.1925 Mean :-0.0770 Mean :-0.2163
## 3rd Qu.: 0.2425 3rd Qu.: 0.3525 3rd Qu.: 0.3925 3rd Qu.: 0.2812
## Max. : 1.1500 Max. : 1.2800 Max. : 1.4500 Max. : 1.8600
## data.6144 data.6145 data.6146 data.6147
## Min. :-2.0600 Min. :-2.330 Min. :-1.5300 Min. :-2.5500
## 1st Qu.:-0.7875 1st Qu.: 0.000 1st Qu.:-0.7500 1st Qu.:-0.7075
## Median : 0.1150 Median : 0.000 Median : 0.0100 Median : 0.6650
## Mean :-0.1263 Mean :-0.036 Mean : 0.3417 Mean : 0.4338
## 3rd Qu.: 0.4575 3rd Qu.: 0.000 3rd Qu.: 1.2075 3rd Qu.: 1.4600
## Max. : 1.1950 Max. : 1.660 Max. : 4.3050 Max. : 4.2750
## data.6148 data.6149 data.6150 data.6151
## Min. :-2.0350 Min. :-3.080 Min. :-2.2800 Min. :-3.255
## 1st Qu.:-1.0425 1st Qu.:-1.065 1st Qu.:-0.9375 1st Qu.:-0.920
## Median : 0.7150 Median : 0.785 Median : 1.0550 Median : 1.315
## Mean : 0.7482 Mean : 1.142 Mean : 1.2615 Mean : 1.323
## 3rd Qu.: 2.1525 3rd Qu.: 3.185 3rd Qu.: 3.1525 3rd Qu.: 3.175
## Max. : 5.5700 Max. : 7.425 Max. : 7.1250 Max. : 6.980
## data.6152 data.6153 data.6154 data.6155
## Min. :-3.345 Min. :-2.430 Min. :-1.3600 Min. :-1.5600
## 1st Qu.:-0.935 1st Qu.:-0.125 1st Qu.:-0.5425 1st Qu.:-0.2550
## Median : 1.065 Median : 0.340 Median : 0.5400 Median : 0.6900
## Mean : 1.221 Mean : 1.099 Mean : 1.0272 Mean : 0.7825
## 3rd Qu.: 2.992 3rd Qu.: 2.490 3rd Qu.: 2.2200 3rd Qu.: 1.8125
## Max. : 6.820 Max. : 5.995 Max. : 5.8050 Max. : 4.9750
## data.6156 data.6157 data.6158 data.6159
## Min. :-1.7800 Min. :-1.6150 Min. :-1.7400 Min. :-1.5850
## 1st Qu.:-0.9475 1st Qu.:-0.8325 1st Qu.:-0.4425 1st Qu.:-0.7100
## Median : 0.6050 Median : 0.5850 Median : 0.0000 Median : 0.2200
## Mean : 1.0297 Mean : 0.9527 Mean : 0.5071 Mean : 0.3657
## 3rd Qu.: 2.4925 3rd Qu.: 2.1925 3rd Qu.: 1.1750 3rd Qu.: 1.2100
## Max. : 6.7750 Max. : 5.8400 Max. : 4.6650 Max. : 4.1800
## data.6160 data.6161 data.6162 data.6163
## Min. :-1.2650 Min. :-1.2100 Min. :-1.8100 Min. :-1.9650
## 1st Qu.:-0.6150 1st Qu.:-0.4475 1st Qu.:-0.1700 1st Qu.:-0.2375
## Median : 0.2250 Median : 0.1150 Median : 0.1100 Median : 0.0000
## Mean : 0.2368 Mean : 0.3406 Mean : 0.1560 Mean : 0.1302
## 3rd Qu.: 0.7225 3rd Qu.: 0.8125 3rd Qu.: 0.6075 3rd Qu.: 0.4950
## Max. : 3.3600 Max. : 3.6250 Max. : 2.5450 Max. : 2.0050
## data.6164 data.6165 data.6166 data.6167
## Min. :-0.6600 Min. :-0.7625 Min. :-0.72250 Min. :-0.7400
## 1st Qu.:-0.3350 1st Qu.:-0.1725 1st Qu.:-0.12500 1st Qu.:-0.1525
## Median :-0.0400 Median : 0.1425 Median : 0.00500 Median : 0.2550
## Mean : 0.0415 Mean : 0.1545 Mean : 0.07662 Mean : 0.2395
## 3rd Qu.: 0.1850 3rd Qu.: 0.5275 3rd Qu.: 0.35000 3rd Qu.: 0.6875
## Max. : 1.3650 Max. : 1.8175 Max. : 1.45750 Max. : 1.3800
## data.6168 data.6169 data.6170 data.6171
## Min. :-1.0600 Min. :-2.7650 Min. :-1.67499 Min. :-1.7700
## 1st Qu.:-0.1150 1st Qu.:-0.8000 1st Qu.:-0.48749 1st Qu.:-0.5025
## Median : 0.1200 Median : 0.0000 Median : 0.10001 Median :-0.0950
## Mean : 0.1707 Mean : 0.3359 Mean : 0.06426 Mean :-0.0300
## 3rd Qu.: 0.5325 3rd Qu.: 1.4225 3rd Qu.: 0.66251 3rd Qu.: 0.3800
## Max. : 1.1400 Max. : 4.0450 Max. : 1.62501 Max. : 1.2200
## data.6172 data.6173 data.6174 data.6175
## Min. :-1.72002 Min. :-0.7250 Min. :-1.27000 Min. :-1.1100
## 1st Qu.:-0.39750 1st Qu.:-0.2725 1st Qu.:-0.47000 1st Qu.:-0.2975
## Median : 0.03998 Median : 0.0000 Median : 0.04001 Median : 0.0000
## Mean : 0.02898 Mean : 0.0650 Mean : 0.01250 Mean : 0.0220
## 3rd Qu.: 0.44498 3rd Qu.: 0.3150 3rd Qu.: 0.34250 3rd Qu.: 0.2625
## Max. : 1.79998 Max. : 1.2050 Max. : 1.33000 Max. : 1.4000
## data.6176 data.6177 data.6178 data.6179
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## 1st Qu.:-0.29250 1st Qu.:-0.362500 1st Qu.:-0.2500 1st Qu.:-0.1650
## Median :-0.01000 Median :-0.050000 Median : 0.0750 Median : 0.1050
## Mean : 0.05775 Mean : 0.008748 Mean : 0.0325 Mean : 0.1122
## 3rd Qu.: 0.31500 3rd Qu.: 0.362495 3rd Qu.: 0.2800 3rd Qu.: 0.4700
## Max. : 1.22500 Max. : 1.840000 Max. : 1.4600 Max. : 0.9050
## data.6180 data.6181 data.6182 data.6183
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## Median : 0.04504 Median : 0.1650 Median : 0.23500 Median : 0.3250
## Mean : 0.09879 Mean : 0.1650 Mean : 0.18350 Mean : 0.1072
## 3rd Qu.: 0.44004 3rd Qu.: 0.5625 3rd Qu.: 0.64250 3rd Qu.: 0.7425
## Max. : 1.14004 Max. : 1.2600 Max. : 1.63500 Max. : 2.0900
## data.6184 data.6185 data.6186 data.6187
## Min. :-4.440 Min. :-3.0450 Min. :-1.9600 Min. :-1.0875
## 1st Qu.:-0.315 1st Qu.:-0.2775 1st Qu.:-0.1300 1st Qu.:-0.3275
## Median : 0.270 Median : 0.1200 Median : 0.2100 Median : 0.1375
## Mean : 0.169 Mean :-0.1483 Mean : 0.2572 Mean : 0.0925
## 3rd Qu.: 0.870 3rd Qu.: 0.4575 3rd Qu.: 0.7600 3rd Qu.: 0.4500
## Max. : 2.060 Max. : 1.2250 Max. : 1.8900 Max. : 1.0625
## data.6188 data.6189 data.6190 data.6191
## Min. :-1.5400 Min. :-1.5850 Min. :-1.7600 Min. :-0.73498
## 1st Qu.:-0.0250 1st Qu.:-0.3225 1st Qu.:-0.5175 1st Qu.:-0.21250
## Median : 0.2200 Median : 0.2250 Median : 0.4400 Median : 0.00749
## Mean : 0.3437 Mean : 0.1967 Mean : 0.3237 Mean : 0.09777
## 3rd Qu.: 0.7550 3rd Qu.: 0.7925 3rd Qu.: 0.9325 3rd Qu.: 0.34752
## Max. : 2.3400 Max. : 1.5650 Max. : 1.9900 Max. : 1.79002
## data.6192 data.6193 data.6194 data.6195
## Min. :-1.6000 Min. :-2.1250 Min. :-0.765 Min. :-1.16498
## 1st Qu.:-0.3300 1st Qu.:-0.2825 1st Qu.:-0.205 1st Qu.:-0.24498
## Median : 0.2075 Median : 0.1425 Median : 0.130 Median : 0.05501
## Mean : 0.2270 Mean : 0.2143 Mean : 0.185 Mean :-0.01123
## 3rd Qu.: 0.8550 3rd Qu.: 0.7650 3rd Qu.: 0.505 3rd Qu.: 0.29752
## Max. : 1.5800 Max. : 1.8350 Max. : 1.875 Max. : 1.19502
## data.6196 data.6197 data.6198 data.6199
## Min. :-0.7100 Min. :-1.09000 Min. :-1.0300 Min. :-0.67000
## 1st Qu.:-0.1800 1st Qu.:-0.12250 1st Qu.:-0.2050 1st Qu.:-0.09500
## Median : 0.2500 Median : 0.06500 Median : 0.1900 Median : 0.05500
## Mean : 0.2765 Mean : 0.07887 Mean : 0.2426 Mean : 0.08425
## 3rd Qu.: 0.6925 3rd Qu.: 0.34250 3rd Qu.: 0.5925 3rd Qu.: 0.23250
## Max. : 1.2900 Max. : 1.09000 Max. : 2.3100 Max. : 1.10000
## data.6200 data.6201 data.6202 data.6203
## Min. :-2.50000 Min. :-3.27998 Min. :-2.5350 Min. :-3.5550
## 1st Qu.:-0.21500 1st Qu.:-0.27499 1st Qu.:-0.2925 1st Qu.:-0.8525
## Median : 0.04500 Median :-0.05998 Median : 0.0000 Median : 0.1200
## Mean : 0.01625 Mean :-0.06298 Mean :-0.0675 Mean :-0.1708
## 3rd Qu.: 0.44000 3rd Qu.: 0.38252 3rd Qu.: 0.3875 3rd Qu.: 0.6725
## Max. : 1.65000 Max. : 1.72002 Max. : 1.7150 Max. : 1.9750
## data.6204 data.6205 data.6206 data.6207
## Min. :-1.205020 Min. :-1.010000 Min. :-1.3400 Min. :-0.7550
## 1st Qu.:-0.327510 1st Qu.:-0.325000 1st Qu.:-0.3250 1st Qu.:-0.1025
## Median :-0.012510 Median : 0.015000 Median : 0.1250 Median : 0.0900
## Mean : 0.001249 Mean :-0.005876 Mean : 0.1427 Mean : 0.1450
## 3rd Qu.: 0.395000 3rd Qu.: 0.205000 3rd Qu.: 0.4875 3rd Qu.: 0.4525
## Max. : 1.445000 Max. : 1.350000 Max. : 1.7750 Max. : 1.5000
## data.6208 data.6209 data.6210 data.6211
## Min. :-0.77000 Min. :-0.63503 Min. :-0.8100 Min. :-0.7100
## 1st Qu.:-0.05000 1st Qu.:-0.04752 1st Qu.:-0.0900 1st Qu.:-0.1588
## Median : 0.07499 Median : 0.16499 Median : 0.1250 Median : 0.1850
## Mean : 0.10262 Mean : 0.16986 Mean : 0.1170 Mean : 0.1862
## 3rd Qu.: 0.25750 3rd Qu.: 0.32124 3rd Qu.: 0.3475 3rd Qu.: 0.4525
## Max. : 1.07500 Max. : 1.25499 Max. : 0.8450 Max. : 1.6450
## data.6212 data.6213 data.6214 data.6215
## Min. :-0.81996 Min. :-0.78000 Min. :-0.5200 Min. :-0.8100
## 1st Qu.:-0.03497 1st Qu.:-0.08625 1st Qu.:-0.1375 1st Qu.:-0.1613
## Median : 0.11503 Median : 0.13500 Median : 0.1950 Median : 0.1800
## Mean : 0.09929 Mean : 0.07000 Mean : 0.1575 Mean : 0.1727
## 3rd Qu.: 0.28254 3rd Qu.: 0.27500 3rd Qu.: 0.5500 3rd Qu.: 0.5463
## Max. : 1.08504 Max. : 0.57998 Max. : 0.8100 Max. : 1.0900
## data.6216 data.6217 data.6218 data.6219
## Min. :-0.69000 Min. :-1.2350 Min. :-1.1700 Min. :-1.06005
## 1st Qu.:-0.14503 1st Qu.:-0.2025 1st Qu.:-0.1475 1st Qu.:-0.05001
## Median : 0.05500 Median : 0.0350 Median : 0.1500 Median : 0.12000
## Mean : 0.05425 Mean : 0.1667 Mean : 0.0710 Mean : 0.20049
## 3rd Qu.: 0.20500 3rd Qu.: 0.4700 3rd Qu.: 0.3725 3rd Qu.: 0.54249
## Max. : 0.70000 Max. : 1.8800 Max. : 0.8250 Max. : 1.12999
## data.6220 data.6221 data.6222 data.6223
## Min. :-1.13000 Min. :-1.5900 Min. :-1.0800 Min. :-1.2900
## 1st Qu.:-0.08375 1st Qu.:-0.1462 1st Qu.:-0.1425 1st Qu.:-0.2225
## Median : 0.14500 Median : 0.1550 Median : 0.2950 Median : 0.3250
## Mean : 0.18175 Mean : 0.1767 Mean : 0.2220 Mean : 0.2587
## 3rd Qu.: 0.51500 3rd Qu.: 0.6075 3rd Qu.: 0.6675 3rd Qu.: 0.7975
## Max. : 1.45000 Max. : 1.1200 Max. : 1.0900 Max. : 1.3400
## data.6224 data.6225 data.6226 data.6227
## Min. :-0.67000 Min. :-0.69000 Min. :-1.03000 Min. :-1.6700
## 1st Qu.:-0.17001 1st Qu.:-0.12500 1st Qu.:-0.20249 1st Qu.:-0.2925
## Median : 0.06500 Median : 0.05501 Median : 0.04998 Median : 0.1700
## Mean : 0.06375 Mean : 0.20950 Mean : 0.11200 Mean : 0.0280
## 3rd Qu.: 0.35500 3rd Qu.: 0.52250 3rd Qu.: 0.48500 3rd Qu.: 0.3950
## Max. : 1.11000 Max. : 1.38000 Max. : 1.41000 Max. : 1.1400
## data.6228 data.6229 data.6230 data.6231
## Min. :-1.92998 Min. :-1.67000 Min. :-1.49000 Min. :-1.0500
## 1st Qu.:-0.18998 1st Qu.:-0.22499 1st Qu.:-0.26000 1st Qu.:-0.3775
## Median : 0.16502 Median : 0.06500 Median : 0.07500 Median : 0.0550
## Mean : 0.05852 Mean : 0.02575 Mean : 0.03675 Mean : 0.1525
## 3rd Qu.: 0.38752 3rd Qu.: 0.38000 3rd Qu.: 0.37000 3rd Qu.: 0.4975
## Max. : 0.97502 Max. : 1.00000 Max. : 1.13000 Max. : 2.1250
## data.6232 data.6233 data.6234 data.6235
## Min. :-0.8750 Min. :-0.7400 Min. :-1.52502 Min. :-1.0350
## 1st Qu.:-0.1925 1st Qu.:-0.2475 1st Qu.:-0.46000 1st Qu.:-0.3000
## Median : 0.0150 Median : 0.1150 Median : 0.09499 Median : 0.1400
## Mean : 0.1079 Mean : 0.1610 Mean :-0.02100 Mean : 0.3010
## 3rd Qu.: 0.4000 3rd Qu.: 0.5800 3rd Qu.: 0.33750 3rd Qu.: 0.7175
## Max. : 1.6000 Max. : 1.2400 Max. : 1.64500 Max. : 2.1750
## data.6236 data.6237 data.6238 data.6239
## Min. :-2.4550 Min. :-1.8100 Min. :-3.4250 Min. :-2.7100
## 1st Qu.:-0.3025 1st Qu.:-0.5875 1st Qu.:-0.6375 1st Qu.:-0.2650
## Median : 0.2750 Median : 0.0000 Median : 0.0650 Median : 0.3850
## Mean : 0.3380 Mean : 0.4011 Mean : 0.2990 Mean : 0.3050
## 3rd Qu.: 1.1625 3rd Qu.: 1.0475 3rd Qu.: 1.0325 3rd Qu.: 0.8775
## Max. : 2.9750 Max. : 3.5400 Max. : 3.1050 Max. : 2.4500
## data.6240 data.6241 data.6242 data.6243
## Min. :-2.3300 Min. :-1.9600 Min. :-2.98500 Min. :-3.3600
## 1st Qu.:-0.3100 1st Qu.:-0.3250 1st Qu.:-0.17000 1st Qu.:-0.6775
## Median : 0.1700 Median : 0.1700 Median : 0.13000 Median : 0.0000
## Mean : 0.2851 Mean : 0.1040 Mean : 0.07225 Mean : 0.4640
## 3rd Qu.: 0.7950 3rd Qu.: 0.5725 3rd Qu.: 0.40500 3rd Qu.: 1.9500
## Max. : 2.0700 Max. : 1.4400 Max. : 1.95500 Max. : 4.2000
## data.6244 data.6245 data.6246 data.6247
## Min. :-2.2499 Min. :-1.6600 Min. :-1.8500 Min. :-2.16000
## 1st Qu.:-0.1675 1st Qu.:-0.8350 1st Qu.:-0.6850 1st Qu.:-0.55251
## Median : 0.1500 Median : 0.1900 Median : 0.4400 Median : 0.30000
## Mean : 0.2167 Mean : 0.2529 Mean : 0.2936 Mean : 0.06425
## 3rd Qu.: 1.0463 3rd Qu.: 1.1075 3rd Qu.: 0.9700 3rd Qu.: 0.70125
## Max. : 2.3400 Max. : 2.5400 Max. : 2.5500 Max. : 2.13000
## data.6248 data.6249 data.6250 data.6251
## Min. :-2.2450 Min. :-1.56998 Min. :-1.9100 Min. :-2.5400
## 1st Qu.:-1.3325 1st Qu.:-0.46500 1st Qu.:-0.4225 1st Qu.:-0.4200
## Median : 0.1600 Median : 0.05999 Median : 0.0000 Median : 0.2200
## Mean :-0.2095 Mean : 0.05487 Mean : 0.1962 Mean : 0.2372
## 3rd Qu.: 0.7462 3rd Qu.: 0.42749 3rd Qu.: 0.7175 3rd Qu.: 1.0175
## Max. : 2.6450 Max. : 1.94000 Max. : 2.4850 Max. : 2.7850
## data.6252 data.6253 data.6254 data.6255
## Min. :-2.91501 Min. :-1.4000 Min. :-0.81000 Min. :-2.1100
## 1st Qu.:-0.27500 1st Qu.:-0.3225 1st Qu.:-0.21503 1st Qu.:-0.9225
## Median : 0.09498 Median : 0.0350 Median : 0.00000 Median : 0.0000
## Mean : 0.15786 Mean : 0.0740 Mean : 0.05375 Mean :-0.0745
## 3rd Qu.: 0.81249 3rd Qu.: 0.4763 3rd Qu.: 0.27999 3rd Qu.: 0.5350
## Max. : 2.72999 Max. : 1.6850 Max. : 1.08500 Max. : 3.3200
## data.6256 data.6257 data.6258 data.6259
## Min. :-2.40000 Min. :-1.67000 Min. :-1.98000 Min. :-0.81500
## 1st Qu.:-1.13750 1st Qu.:-0.74000 1st Qu.:-0.61253 1st Qu.:-0.25751
## Median : 0.00000 Median :-0.00500 Median :-0.11999 Median : 0.07501
## Mean :-0.02488 Mean : 0.03875 Mean :-0.09038 Mean : 0.09350
## 3rd Qu.: 1.06250 3rd Qu.: 0.90000 3rd Qu.: 0.50250 3rd Qu.: 0.51500
## Max. : 3.17500 Max. : 1.96000 Max. : 1.51000 Max. : 0.91500
## data.6260 data.6261 data.6262 data.6263
## Min. :-1.5350 Min. :-2.72002 Min. :-1.725 Min. :-1.9500
## 1st Qu.:-0.8750 1st Qu.:-0.42250 1st Qu.:-0.425 1st Qu.:-0.5238
## Median :-0.2800 Median :-0.00500 Median : 0.240 Median : 0.2300
## Mean :-0.0464 Mean : 0.08137 Mean : 0.435 Mean : 0.4709
## 3rd Qu.: 0.6425 3rd Qu.: 0.45750 3rd Qu.: 1.165 3rd Qu.: 1.0175
## Max. : 2.1000 Max. : 3.86000 Max. : 5.365 Max. : 6.1700
## data.6264 data.6265 data.6266 data.6267
## Min. :-2.1350 Min. :-2.41000 Min. :-1.6350 Min. :-1.7250
## 1st Qu.:-0.5025 1st Qu.:-0.82500 1st Qu.:-0.2125 1st Qu.:-0.2200
## Median : 0.0000 Median :-0.07249 Median : 0.0000 Median : 0.0000
## Mean : 0.6235 Mean : 0.11275 Mean : 0.1823 Mean : 0.1502
## 3rd Qu.: 1.3687 3rd Qu.: 0.88250 3rd Qu.: 0.2125 3rd Qu.: 0.3775
## Max. : 5.7150 Max. : 3.38000 Max. : 3.1200 Max. : 3.0250
## data.6268 data.6269 data.6270 data.6271
## Min. :-3.32002 Min. :-2.23000 Min. :-1.2600 Min. :-2.0050
## 1st Qu.:-1.54500 1st Qu.:-0.95000 1st Qu.:-0.5000 1st Qu.:-0.2375
## Median : 0.00000 Median : 0.00000 Median : 0.0000 Median : 0.0075
## Mean :-0.07425 Mean : 0.03263 Mean : 0.2066 Mean : 0.2147
## 3rd Qu.: 1.18750 3rd Qu.: 0.72750 3rd Qu.: 0.4000 3rd Qu.: 0.7875
## Max. : 4.30000 Max. : 3.27000 Max. : 2.9800 Max. : 3.7900
## data.6272 data.6273 data.6274 data.6275
## Min. :-3.4900 Min. :-2.560 Min. :-3.34501 Min. :-1.76998
## 1st Qu.:-1.4225 1st Qu.:-1.367 1st Qu.:-1.38251 1st Qu.:-0.61498
## Median :-0.1750 Median :-0.085 Median : 0.00000 Median : 0.03502
## Mean :-0.1851 Mean :-0.135 Mean :-0.03326 Mean :-0.06048
## 3rd Qu.: 0.5487 3rd Qu.: 0.585 3rd Qu.: 0.94749 3rd Qu.: 0.58002
## Max. : 3.7700 Max. : 3.080 Max. : 3.75499 Max. : 1.46002
## data.6276 data.6277 data.6278 data.6279
## Min. :-1.62500 Min. :-1.7500 Min. :-2.6750 Min. :-2.7100
## 1st Qu.:-0.66250 1st Qu.:-0.8875 1st Qu.:-0.8900 1st Qu.:-0.6000
## Median : 0.05998 Median : 0.6900 Median : 0.3400 Median : 0.0350
## Mean :-0.10425 Mean : 1.0555 Mean : 0.8101 Mean : 0.7954
## 3rd Qu.: 0.46250 3rd Qu.: 2.6025 3rd Qu.: 2.0725 3rd Qu.: 1.9850
## Max. : 1.16500 Max. : 6.6500 Max. : 5.9750 Max. : 6.1700
## data.6280 data.6281 data.6282 data.6283
## Min. :-1.4350 Min. :-0.95499 Min. :-1.74998 Min. :-1.41001
## 1st Qu.:-0.3225 1st Qu.:-0.19374 1st Qu.:-0.15748 1st Qu.:-0.55251
## Median : 0.1450 Median : 0.08501 Median : 0.05502 Median : 0.00000
## Mean : 0.1297 Mean : 0.10551 Mean : 0.02977 Mean :-0.03651
## 3rd Qu.: 0.6950 3rd Qu.: 0.49501 3rd Qu.: 0.31002 3rd Qu.: 0.40374
## Max. : 1.3650 Max. : 1.00501 Max. : 1.23000 Max. : 1.28999
## data.6284 data.6285 data.6286 data.6287
## Min. :-1.04498 Min. :-1.2525 Min. :-0.8900 Min. :-1.5950
## 1st Qu.:-0.29495 1st Qu.:-0.3000 1st Qu.:-0.3500 1st Qu.:-0.5675
## Median : 0.00252 Median : 0.0400 Median : 0.0750 Median : 0.1800
## Mean : 0.04566 Mean : 0.1219 Mean : 0.1492 Mean :-0.0165
## 3rd Qu.: 0.43754 3rd Qu.: 0.5625 3rd Qu.: 0.5875 3rd Qu.: 0.4188
## Max. : 1.40504 Max. : 1.9075 Max. : 1.2600 Max. : 1.4650
## data.6288 data.6289 data.6290 data.6291
## Min. :-4.4750 Min. :-4.145 Min. :-1.1100 Min. :-1.6150
## 1st Qu.:-0.1150 1st Qu.:-0.350 1st Qu.:-0.1850 1st Qu.:-0.4037
## Median : 0.1550 Median : 0.235 Median : 0.0000 Median : 0.0500
## Mean : 0.1577 Mean : 0.017 Mean : 0.1882 Mean : 0.0750
## 3rd Qu.: 0.8150 3rd Qu.: 0.730 3rd Qu.: 0.5150 3rd Qu.: 0.3925
## Max. : 2.7950 Max. : 2.910 Max. : 2.6700 Max. : 2.4550
## data.6292 data.6293 data.6294 data.6295
## Min. :-0.8400 Min. :-1.3200 Min. :-2.7650 Min. :-1.5800
## 1st Qu.:-0.3613 1st Qu.:-0.4888 1st Qu.:-1.0775 1st Qu.:-0.5337
## Median : 0.0400 Median : 0.0450 Median : 0.0100 Median : 0.0250
## Mean : 0.1882 Mean : 0.1391 Mean : 0.1512 Mean : 0.1994
## 3rd Qu.: 0.7400 3rd Qu.: 0.7275 3rd Qu.: 1.3775 3rd Qu.: 0.7450
## Max. : 2.4700 Max. : 2.2600 Max. : 4.0600 Max. : 2.9800
## data.6296 data.6297 data.6298 data.6299
## Min. :-1.4950 Min. :-1.12502 Min. :-2.43002 Min. :-2.7950
## 1st Qu.:-0.3825 1st Qu.:-0.24253 1st Qu.:-0.73000 1st Qu.:-0.6075
## Median :-0.0050 Median : 0.06997 Median : 0.01750 Median : 0.0000
## Mean : 0.0685 Mean : 0.07798 Mean :-0.07638 Mean :-0.1673
## 3rd Qu.: 0.4375 3rd Qu.: 0.43748 3rd Qu.: 0.56000 3rd Qu.: 0.4725
## Max. : 1.8300 Max. : 1.14998 Max. : 1.58000 Max. : 2.0550
## data.6300 data.6301 data.6302 data.6303
## Min. :-0.9300 Min. :-1.24750 Min. :-2.4250 Min. :-0.7000
## 1st Qu.:-0.1800 1st Qu.:-0.28999 1st Qu.:-0.3150 1st Qu.:-0.2650
## Median : 0.1725 Median : 0.04748 Median : 0.0800 Median :-0.0250
## Mean : 0.1617 Mean : 0.14494 Mean : 0.0220 Mean :-0.0135
## 3rd Qu.: 0.5850 3rd Qu.: 0.61250 3rd Qu.: 0.5875 3rd Qu.: 0.1825
## Max. : 1.4500 Max. : 1.71250 Max. : 1.2800 Max. : 0.8200
## data.6304 data.6305 data.6306 data.6307
## Min. :-1.9250 Min. :-1.4700 Min. :-1.0600 Min. :-1.3150
## 1st Qu.:-0.4675 1st Qu.:-0.2700 1st Qu.:-0.2525 1st Qu.:-0.3150
## Median : 0.2650 Median : 0.0000 Median : 0.3600 Median : 0.3000
## Mean : 0.2270 Mean : 0.4044 Mean : 0.2835 Mean : 0.1837
## 3rd Qu.: 0.8575 3rd Qu.: 0.9862 3rd Qu.: 0.8175 3rd Qu.: 0.6575
## Max. : 2.2250 Max. : 4.3700 Max. : 1.6700 Max. : 1.3450
## data.6308 data.6309 data.6310 data.6311
## Min. :-2.5600 Min. :-1.33000 Min. :-1.47499 Min. :-1.4300
## 1st Qu.:-0.4900 1st Qu.:-0.47999 1st Qu.:-0.38999 1st Qu.:-0.2850
## Median : 0.0000 Median : 0.12500 Median : 0.09502 Median : 0.0000
## Mean : 0.1971 Mean : 0.03287 Mean : 0.11376 Mean : 0.1691
## 3rd Qu.: 0.9975 3rd Qu.: 0.44250 3rd Qu.: 0.55251 3rd Qu.: 0.6850
## Max. : 2.1100 Max. : 1.89000 Max. : 1.69501 Max. : 1.7000
## data.6312 data.6313 data.6314 data.6315
## Min. :-2.6550 Min. :-2.94000 Min. :-2.9400 Min. :-2.8300
## 1st Qu.:-0.6375 1st Qu.:-0.52750 1st Qu.:-1.6025 1st Qu.:-0.7450
## Median :-0.0950 Median :-0.01500 Median : 0.0000 Median : 0.0500
## Mean : 0.0320 Mean : 0.05075 Mean :-0.1355 Mean : 0.1962
## 3rd Qu.: 0.6675 3rd Qu.: 0.59250 3rd Qu.: 1.3075 3rd Qu.: 1.2050
## Max. : 2.2150 Max. : 2.24000 Max. : 2.6700 Max. : 3.1600
## data.6316 data.6317 data.6318 data.6319
## Min. :-1.5800 Min. :-0.7800 Min. :-2.6200 Min. :-2.2000
## 1st Qu.:-0.6950 1st Qu.:-0.2375 1st Qu.:-0.6650 1st Qu.:-0.6050
## Median : 0.2550 Median : 0.0450 Median : 0.0000 Median : 0.0050
## Mean : 0.2851 Mean : 0.1209 Mean : 0.0495 Mean : 0.0915
## 3rd Qu.: 1.0125 3rd Qu.: 0.4625 3rd Qu.: 0.7500 3rd Qu.: 0.5500
## Max. : 2.4300 Max. : 1.7200 Max. : 3.1700 Max. : 2.9900
## data.6320 data.6321 data.6322 data.6323
## Min. :-1.0000 Min. :-2.0100 Min. :-2.46002 Min. :-0.9600
## 1st Qu.:-0.3125 1st Qu.:-0.4425 1st Qu.:-0.96002 1st Qu.:-0.2550
## Median : 0.0000 Median : 0.0000 Median : 0.00000 Median : 0.0000
## Mean : 0.1011 Mean : 0.2754 Mean : 0.01936 Mean : 0.1341
## 3rd Qu.: 0.6425 3rd Qu.: 0.5300 3rd Qu.: 0.48498 3rd Qu.: 0.4700
## Max. : 1.3300 Max. : 5.1100 Max. : 4.58498 Max. : 2.6150
## data.6324 data.6325 data.6326 data.6327
## Min. :-1.5100 Min. :-1.78998 Min. :-0.92501 Min. :-1.380000
## 1st Qu.:-0.5525 1st Qu.:-0.50248 1st Qu.:-0.43002 1st Qu.:-0.232500
## Median : 0.0000 Median :-0.04998 Median : 0.07999 Median : 0.009981
## Mean : 0.1195 Mean :-0.05811 Mean : 0.26449 Mean : 0.188749
## 3rd Qu.: 0.8075 3rd Qu.: 0.29502 3rd Qu.: 0.66498 3rd Qu.: 0.343750
## Max. : 3.8550 Max. : 3.96502 Max. : 4.08999 Max. : 3.375000
## data.6328 data.6329 data.6330 data.6331
## Min. :-2.0250 Min. :-1.3500 Min. :-1.4100 Min. :-2.0550
## 1st Qu.:-0.3275 1st Qu.:-0.2825 1st Qu.:-0.2250 1st Qu.:-0.8025
## Median : 0.0000 Median : 0.0450 Median :-0.1000 Median :-0.1350
## Mean : 0.3346 Mean : 0.2951 Mean :-0.0910 Mean :-0.1135
## 3rd Qu.: 0.5725 3rd Qu.: 0.7250 3rd Qu.: 0.1725 3rd Qu.: 0.6525
## Max. : 6.1300 Max. : 3.1550 Max. : 0.6650 Max. : 1.7400
## data.6332 data.6333 data.6334 data.6335
## Min. :-0.9200 Min. :-1.04500 Min. :-3.045010 Min. :-3.0300
## 1st Qu.:-0.3137 1st Qu.:-0.22999 1st Qu.:-0.685010 1st Qu.:-0.6075
## Median :-0.0100 Median :-0.04502 Median :-0.002505 Median :-0.0600
## Mean : 0.1032 Mean : 0.12437 Mean :-0.109386 Mean :-0.0410
## 3rd Qu.: 0.4900 3rd Qu.: 0.50750 3rd Qu.: 0.528740 3rd Qu.: 0.4875
## Max. : 1.5200 Max. : 1.62500 Max. : 2.194990 Max. : 2.0200
## data.6336 data.6337 data.6338 data.6339
## Min. :-1.5000 Min. :-1.01502 Min. :-1.70500 Min. :-1.19000
## 1st Qu.:-0.4600 1st Qu.:-0.34501 1st Qu.:-0.65125 1st Qu.:-0.28750
## Median : 0.1100 Median :-0.04501 Median :-0.06499 Median :-0.03500
## Mean : 0.2060 Mean :-0.02225 Mean : 0.26650 Mean : 0.06725
## 3rd Qu.: 0.8975 3rd Qu.: 0.29750 3rd Qu.: 0.98000 3rd Qu.: 0.48000
## Max. : 1.9200 Max. : 1.02500 Max. : 4.51000 Max. : 1.30500
## data.6340 data.6341 data.6342 data.6343
## Min. :-1.57998 Min. :-1.925 Min. :-0.63000 Min. :-1.21000
## 1st Qu.:-0.38250 1st Qu.:-0.880 1st Qu.:-0.02250 1st Qu.:-0.29250
## Median : 0.04499 Median :-0.310 Median : 0.00000 Median : 0.08499
## Mean :-0.05625 Mean : 0.245 Mean : 0.09037 Mean : 0.03162
## 3rd Qu.: 0.26125 3rd Qu.: 1.177 3rd Qu.: 0.12250 3rd Qu.: 0.29500
## Max. : 1.43500 Max. : 4.605 Max. : 1.36500 Max. : 1.39000
## data.6344 data.6345 data.6346 data.6347
## Min. :-1.3600 Min. :-1.260000 Min. :-5.18002 Min. :-5.25000
## 1st Qu.:-0.1900 1st Qu.:-0.240000 1st Qu.:-0.34500 1st Qu.:-0.41500
## Median : 0.0700 Median : 0.075000 Median : 0.07999 Median : 0.09499
## Mean : 0.0550 Mean :-0.003001 Mean :-0.12950 Mean :-0.21525
## 3rd Qu.: 0.3575 3rd Qu.: 0.286250 3rd Qu.: 0.44250 3rd Qu.: 0.36000
## Max. : 1.2900 Max. : 0.840000 Max. : 1.60000 Max. : 1.62000
## data.6348 data.6349 data.6350 data.6351
## Min. :-3.6500 Min. :-3.88500 Min. :-1.7150 Min. :-2.41002
## 1st Qu.:-0.6925 1st Qu.:-0.85498 1st Qu.:-0.5363 1st Qu.:-0.74500
## Median :-0.0550 Median :-0.00251 Median :-0.0300 Median :-0.09500
## Mean :-0.3497 Mean :-0.18136 Mean :-0.0945 Mean :-0.04975
## 3rd Qu.: 0.3900 3rd Qu.: 0.56252 3rd Qu.: 0.4200 3rd Qu.: 0.61000
## Max. : 1.5700 Max. : 1.73504 Max. : 1.3150 Max. : 2.35000
## data.6352 data.6353 data.6354 data.6355
## Min. :-1.6500 Min. :-3.180 Min. :-4.8650 Min. :-4.4600
## 1st Qu.:-0.4675 1st Qu.:-1.143 1st Qu.:-1.4925 1st Qu.:-1.3600
## Median :-0.0550 Median :-0.160 Median :-0.2300 Median :-0.2600
## Mean :-0.1236 Mean :-0.439 Mean :-0.5348 Mean :-0.5518
## 3rd Qu.: 0.2825 3rd Qu.: 0.275 3rd Qu.: 0.6725 3rd Qu.: 0.8550
## Max. : 1.2300 Max. : 1.110 Max. : 1.6950 Max. : 1.7100
## data.6356 data.6357 data.6358 data.6359
## Min. :-5.4600 Min. :-3.695 Min. :-2.67002 Min. :-0.67500
## 1st Qu.:-1.6200 1st Qu.:-1.348 1st Qu.:-1.15501 1st Qu.:-0.27003
## Median :-0.1850 Median :-0.170 Median :-0.06499 Median :-0.01501
## Mean :-0.7393 Mean :-0.503 Mean :-0.35725 Mean : 0.02025
## 3rd Qu.: 0.8037 3rd Qu.: 0.670 3rd Qu.: 0.52625 3rd Qu.: 0.34001
## Max. : 2.1300 Max. : 1.585 Max. : 1.66000 Max. : 0.98500
## data.6360 data.6361 data.6362 data.6363
## Min. :-1.15000 Min. :-1.10998 Min. :-1.42500 Min. :-1.28000
## 1st Qu.:-0.30250 1st Qu.:-0.24249 1st Qu.:-0.32003 1st Qu.:-0.31003
## Median : 0.02500 Median : 0.02000 Median :-0.06999 Median : 0.02500
## Mean : 0.06025 Mean :-0.01711 Mean :-0.02800 Mean : 0.05675
## 3rd Qu.: 0.52250 3rd Qu.: 0.23502 3rd Qu.: 0.36500 3rd Qu.: 0.48250
## Max. : 0.95000 Max. : 0.64002 Max. : 0.75502 Max. : 1.16000
## data.6364 data.6365 data.6366 data.6367
## Min. :-1.48502 Min. :-1.59501 Min. :-1.43000 Min. :-1.3525
## 1st Qu.:-0.33500 1st Qu.:-0.43501 1st Qu.:-0.59500 1st Qu.:-0.5025
## Median : 0.00000 Median :-0.09751 Median : 0.00000 Median :-0.1775
## Mean :-0.01325 Mean :-0.05101 Mean :-0.02113 Mean :-0.1635
## 3rd Qu.: 0.38000 3rd Qu.: 0.20499 3rd Qu.: 0.52874 3rd Qu.: 0.1100
## Max. : 1.32500 Max. : 1.79499 Max. : 1.37000 Max. : 1.0175
## data.6368 data.6369 data.6370 data.6371
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## 1st Qu.:-0.21500 1st Qu.:-0.38251 1st Qu.:-0.46497 1st Qu.:-0.41748
## Median :-0.03999 Median : 0.06498 Median : 0.03503 Median :-0.01998
## Mean : 0.04937 Mean : 0.06150 Mean : 0.08402 Mean : 0.04452
## 3rd Qu.: 0.29750 3rd Qu.: 0.54750 3rd Qu.: 0.46502 3rd Qu.: 0.55252
## Max. : 1.04998 Max. : 1.72000 Max. : 1.71502 Max. : 2.08502
## data.6372 data.6373 data.6374 data.6375
## Min. :-1.440000 Min. :-1.03000 Min. :-1.3000 Min. :-1.2200
## 1st Qu.:-0.502500 1st Qu.:-0.60750 1st Qu.:-0.6737 1st Qu.:-0.5350
## Median : 0.000000 Median :-0.19000 Median :-0.2550 Median :-0.1250
## Mean : 0.003749 Mean :-0.08925 Mean :-0.1365 Mean :-0.0700
## 3rd Qu.: 0.435000 3rd Qu.: 0.26750 3rd Qu.: 0.3013 3rd Qu.: 0.3725
## Max. : 1.760000 Max. : 2.15000 Max. : 2.2700 Max. : 2.1400
## data.6376 data.6377 data.6378 data.6379
## Min. :-1.200010 Min. :-0.81752 Min. :-1.23000 Min. :-1.3700
## 1st Qu.:-0.507515 1st Qu.:-0.41250 1st Qu.:-0.43750 1st Qu.:-0.5250
## Median :-0.150020 Median :-0.06750 Median :-0.05501 Median :-0.2550
## Mean : 0.001989 Mean :-0.01275 Mean :-0.03250 Mean :-0.1235
## 3rd Qu.: 0.614990 3rd Qu.: 0.33250 3rd Qu.: 0.34000 3rd Qu.: 0.2550
## Max. : 2.019990 Max. : 1.35250 Max. : 1.56000 Max. : 1.5100
## data.6380 data.6381 data.6382 data.6383
## Min. :-1.06000 Min. :-1.485 Min. :-2.8250 Min. :-3.5800
## 1st Qu.:-0.28250 1st Qu.:-0.375 1st Qu.:-0.8850 1st Qu.:-0.5475
## Median : 0.01000 Median : 0.040 Median :-0.2400 Median : 0.0000
## Mean : 0.08875 Mean : 0.094 Mean :-0.0300 Mean : 0.2226
## 3rd Qu.: 0.48499 3rd Qu.: 0.335 3rd Qu.: 0.8775 3rd Qu.: 1.2425
## Max. : 1.14000 Max. : 2.135 Max. : 3.4750 Max. : 3.2700
## data.6384 data.6385 data.6386 data.6387
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## 1st Qu.:-0.59373 1st Qu.:-0.5725 1st Qu.:-0.81750 1st Qu.:-0.73502
## Median : 0.05499 Median : 0.0000 Median : 0.00875 Median :-0.00001
## Mean : 0.08252 Mean :-0.0040 Mean :-0.05506 Mean :-0.06077
## 3rd Qu.: 0.65002 3rd Qu.: 0.4850 3rd Qu.: 0.65250 3rd Qu.: 0.62998
## Max. : 2.76002 Max. : 2.6500 Max. : 2.22250 Max. : 2.62998
## data.6388 data.6389 data.6390 data.6391
## Min. :-1.39501 Min. :-1.42996 Min. :-2.1100 Min. :-3.4000
## 1st Qu.:-0.56001 1st Qu.:-0.63498 1st Qu.:-0.8425 1st Qu.:-0.8800
## Median :-0.18001 Median :-0.04496 Median : 0.0100 Median : 0.0150
## Mean :-0.01476 Mean : 0.12853 Mean :-0.1489 Mean : 0.8825
## 3rd Qu.: 0.50248 3rd Qu.: 0.64001 3rd Qu.: 0.4700 3rd Qu.: 3.1475
## Max. : 1.48499 Max. : 2.53004 Max. : 2.1300 Max. : 5.2900
## data.6392 data.6393 data.6394 data.6395
## Min. :-2.7500 Min. :-2.840 Min. :-0.920 Min. :-1.145000
## 1st Qu.:-0.7375 1st Qu.:-1.138 1st Qu.:-0.545 1st Qu.:-0.487495
## Median : 0.0000 Median : 0.000 Median :-0.280 Median : 0.002500
## Mean : 0.7425 Mean : 1.029 Mean : 0.334 Mean : 0.007374
## 3rd Qu.: 2.7425 3rd Qu.: 3.557 3rd Qu.: 1.048 3rd Qu.: 0.312500
## Max. : 4.8800 Max. : 5.830 Max. : 2.920 Max. : 2.345000
## data.6396 data.6397 data.6398 data.6399
## Min. :-2.3400 Min. :-1.26002 Min. :-1.8300 Min. :-0.795
## 1st Qu.:-0.8000 1st Qu.:-0.22251 1st Qu.:-0.1875 1st Qu.:-0.260
## Median : 0.0000 Median :-0.07001 Median :-0.0150 Median : 0.000
## Mean : 0.1455 Mean : 0.09887 Mean : 0.2677 Mean : 0.192
## 3rd Qu.: 0.5350 3rd Qu.: 0.36250 3rd Qu.: 0.2900 3rd Qu.: 0.445
## Max. : 4.4900 Max. : 3.23000 Max. : 3.9500 Max. : 3.145
## data.6400 data.6401 data.6402 data.6403
## Min. :-1.2000 Min. :-0.86001 Min. :-0.77998 Min. :-1.0300
## 1st Qu.:-0.3700 1st Qu.:-0.36251 1st Qu.:-0.25498 1st Qu.:-0.1887
## Median : 0.0000 Median : 0.02000 Median : 0.05502 Median : 0.2200
## Mean : 0.0160 Mean : 0.01649 Mean : 0.05477 Mean : 0.1630
## 3rd Qu.: 0.3975 3rd Qu.: 0.32499 3rd Qu.: 0.36752 3rd Qu.: 0.5300
## Max. : 1.3600 Max. : 0.90999 Max. : 1.24002 Max. : 1.0600
## data.6404 data.6405 data.6406 data.6407
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## Median : 0.1750 Median :-0.0550 Median : 0.06248 Median : 0.0000
## Mean : 0.2311 Mean :-0.1931 Mean : 0.04348 Mean : 0.0305
## 3rd Qu.: 1.4900 3rd Qu.: 0.4150 3rd Qu.: 0.84248 3rd Qu.: 0.7175
## Max. : 4.2000 Max. : 1.7200 Max. : 1.99498 Max. : 2.2600
## data.6408 data.6409 data.6410 data.6411
## Min. :-2.98996 Min. :-1.01001 Min. :-2.5600 Min. :-1.97000
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## Median : 0.00000 Median : 0.08999 Median : 0.0000 Median : 0.00000
## Mean :-0.06497 Mean : 0.09536 Mean : 0.1145 Mean : 0.03313
## 3rd Qu.: 0.74004 3rd Qu.: 0.35748 3rd Qu.: 1.2425 3rd Qu.: 0.56000
## Max. : 2.05004 Max. : 1.29999 Max. : 3.2850 Max. : 2.13000
## data.6412 data.6413 data.6414 data.6415
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## Median : 0.0000 Median : 0.0000 Median : 0.4950 Median : 0.000
## Mean : 0.4124 Mean : 0.1745 Mean : 0.7075 Mean : 1.070
## 3rd Qu.: 1.6675 3rd Qu.: 0.3650 3rd Qu.: 2.0025 3rd Qu.: 3.475
## Max. : 4.9400 Max. : 5.2500 Max. : 5.2500 Max. : 7.020
## data.6416 data.6417 data.6418 data.6419
## Min. :-2.0700 Min. :-0.9750 Min. :-2.6800 Min. :-2.5650
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## Median : 0.0000 Median : 0.2100 Median : 0.0000 Median : 0.0525
## Mean : 0.9842 Mean : 0.3640 Mean : 0.2339 Mean : 0.5132
## 3rd Qu.: 2.6700 3rd Qu.: 0.6975 3rd Qu.: 0.7575 3rd Qu.: 2.2650
## Max. : 6.1500 Max. : 2.9550 Max. : 3.0000 Max. : 4.1300
## data.6420 data.6421 data.6422 data.6423
## Min. :-1.6100 Min. :-2.27502 Min. :-0.6400 Min. :-1.2625
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## Median :-0.0250 Median :-0.01250 Median : 0.0000 Median :-0.2125
## Mean : 0.3474 Mean :-0.01888 Mean : 0.1164 Mean : 0.0935
## 3rd Qu.: 0.8850 3rd Qu.: 0.93997 3rd Qu.: 0.2950 3rd Qu.: 0.7625
## Max. : 3.1300 Max. : 3.56500 Max. : 1.4900 Max. : 2.2175
## data.6424 data.6425 data.6426 data.6427
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## 1st Qu.:-0.1525 1st Qu.:-0.3675 1st Qu.:-0.715005 1st Qu.:-0.42250
## Median : 0.1450 Median : 0.0000 Median : 0.005010 Median :-0.07499
## Mean : 0.1293 Mean :-0.0350 Mean :-0.009751 Mean :-0.02250
## 3rd Qu.: 0.4225 3rd Qu.: 0.2075 3rd Qu.: 0.768750 3rd Qu.: 0.50251
## Max. : 1.4700 Max. : 0.8800 Max. : 2.480000 Max. : 0.98000
## data.6428 data.6429 data.6430 data.6431
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## Median : 0.06502 Median : 0.00000 Median : 0.0000 Median : 0.0200
## Mean : 0.11839 Mean : 0.62862 Mean : 0.8095 Mean : 0.1735
## 3rd Qu.: 0.52252 3rd Qu.: 0.00125 3rd Qu.: 0.0675 3rd Qu.: 0.5150
## Max. : 1.27002 Max. : 7.35500 Max. : 6.9000 Max. : 2.5800
## data.6432 data.6433 data.6434 data.6435
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## Median : 0.0650 Median : 0.325 Median : 0.0000 Median : 0.00498
## Mean : 0.0905 Mean : 0.449 Mean : 0.6357 Mean : 0.09787
## 3rd Qu.: 0.5725 3rd Qu.: 1.137 3rd Qu.: 1.1275 3rd Qu.: 0.17500
## Max. : 1.0500 Max. : 2.410 Max. : 5.5900 Max. : 1.73000
## data.6436 data.6437 data.6438 data.6439
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## Median :-0.020000 Median : 0.06500 Median : 0.000000 Median : 0.0000
## Mean : 0.005105 Mean : 0.03825 Mean :-0.006483 Mean :-0.1075
## 3rd Qu.: 0.299971 3rd Qu.: 0.35000 3rd Qu.: 0.282519 3rd Qu.: 0.5413
## Max. : 1.329980 Max. : 0.69000 Max. : 1.215019 Max. : 1.0650
## data.6440 data.6441 data.6442 data.6443
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## Median : 0.01999 Median : 0.0200 Median : 0.0550 Median : 0.07503
## Mean : 0.08925 Mean : 0.0485 Mean : 0.1012 Mean : 0.05264
## 3rd Qu.: 0.28999 3rd Qu.: 0.3225 3rd Qu.: 0.4800 3rd Qu.: 0.33002
## Max. : 1.30500 Max. : 1.1500 Max. : 1.0400 Max. : 1.02002
## data.6444 data.6445 data.6446 data.6447
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## Median :-0.05001 Median : 0.000 Median :-0.1300 Median : 0.0000
## Mean : 0.07898 Mean : 0.048 Mean : 0.0135 Mean :-0.1240
## 3rd Qu.: 0.59248 3rd Qu.: 0.310 3rd Qu.: 0.2825 3rd Qu.: 0.5275
## Max. : 1.16498 Max. : 0.830 Max. : 1.7900 Max. : 2.5075
## data.6448 data.6449 data.6450 data.6451
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## Median : 0.0000 Median :-0.00375 Median :-0.1150 Median : 0.0000
## Mean : 0.0655 Mean :-0.04806 Mean : 0.2827 Mean : 0.6074
## 3rd Qu.: 0.3000 3rd Qu.: 0.39500 3rd Qu.: 1.0275 3rd Qu.: 1.4225
## Max. : 1.2800 Max. : 1.16750 Max. : 4.2600 Max. : 5.2150
## data.6452 data.6453 data.6454 data.6455
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## Median : 0.0000 Median : 0.0000 Median : 0.0000 Median : 0.0000
## Mean : 0.5725 Mean : 0.4358 Mean : 0.5099 Mean : 0.4189
## 3rd Qu.: 0.9850 3rd Qu.: 0.9800 3rd Qu.: 0.9925 3rd Qu.: 0.8575
## Max. : 5.4200 Max. : 4.6550 Max. : 4.8300 Max. : 4.2900
## data.6456 data.6457 data.6458 data.6459
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## Median : 0.0000 Median : 0.00000 Median : 0.00000 Median :-0.06501
## Mean : 0.2416 Mean : 0.08325 Mean :-0.09563 Mean : 0.08587
## 3rd Qu.: 0.7575 3rd Qu.: 0.07250 3rd Qu.: 0.22750 3rd Qu.: 0.40250
## Max. : 2.8600 Max. : 4.48500 Max. : 2.42000 Max. : 1.96000
## data.6460 data.6461 data.6462 data.6463
## Min. :-1.68500 Min. :-1.580 Min. :-1.5050 Min. :-2.3450
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## Median : 0.08499 Median : 0.000 Median : 0.0000 Median : 0.0525
## Mean :-0.10575 Mean : 0.085 Mean : 0.1071 Mean : 0.2146
## 3rd Qu.: 0.31000 3rd Qu.: 0.320 3rd Qu.: 0.6225 3rd Qu.: 1.2900
## Max. : 1.02500 Max. : 2.200 Max. : 2.7300 Max. : 3.7150
## data.6464 data.6465 data.6466 data.6467
## Min. :-2.1000 Min. :-1.282480 Min. :-0.71000 Min. :-0.76000
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## Median : 0.0000 Median :-0.032500 Median :-0.02500 Median : 0.00500
## Mean : 0.1029 Mean :-0.005982 Mean : 0.01575 Mean : 0.05337
## 3rd Qu.: 0.5900 3rd Qu.: 0.250020 3rd Qu.: 0.19250 3rd Qu.: 0.29499
## Max. : 1.3650 Max. : 1.272519 Max. : 1.09000 Max. : 0.98000
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## 1st Qu.:-0.32500 1st Qu.:-0.17501 1st Qu.:-0.1875 1st Qu.:-0.18001
## Median : 0.00500 Median : 0.03498 Median : 0.0750 Median : 0.06499
## Mean : 0.08512 Mean : 0.09674 Mean : 0.1690 Mean : 0.11187
## 3rd Qu.: 0.37250 3rd Qu.: 0.28249 3rd Qu.: 0.4400 3rd Qu.: 0.31001
## Max. : 1.71000 Max. : 1.16499 Max. : 1.7850 Max. : 1.02500
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## Median :-0.00498 Median : 0.0000 Median : 0.05252 Median : 0.0900
## Mean : 0.03627 Mean : 0.1987 Mean : 0.05439 Mean : 0.1192
## 3rd Qu.: 0.26252 3rd Qu.: 0.4625 3rd Qu.: 0.36251 3rd Qu.: 0.3250
## Max. : 0.78002 Max. : 3.2475 Max. : 1.87004 Max. : 0.8700
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## Median : 0.0300 Median : 0.0275 Median : 0.0725 Median : 0.1100
## Mean : 0.1055 Mean : 0.1180 Mean : 0.1427 Mean : 0.1347
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## Max. : 2.4000 Max. : 1.9050 Max. : 2.3100 Max. : 1.8050
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## Median : 0.07500 Median : 0.0900 Median : 0.0800 Median : 0.0150
## Mean : 0.07825 Mean : 0.0225 Mean : 0.0865 Mean : 0.2742
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## Max. : 1.84000 Max. : 1.9300 Max. : 1.8350 Max. : 2.1900
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## Median : 0.07999 Median : 0.0000 Median :-0.00250 Median : 0.00750
## Mean : 0.17050 Mean : 0.1314 Mean :-0.03875 Mean : 0.04375
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## Max. : 2.19500 Max. : 1.7150 Max. : 1.34500 Max. : 1.61500
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## Median : 0.0000097 Median :-0.115010 Median :-0.01999 Median :-0.06500
## Mean :-0.0012330 Mean : 0.001998 Mean : 0.05050 Mean : 0.01825
## 3rd Qu.: 0.3225195 3rd Qu.: 0.332500 3rd Qu.: 0.35000 3rd Qu.: 0.22750
## Max. : 1.2000190 Max. : 0.915000 Max. : 1.32500 Max. : 0.97000
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## Median :-0.0450 Median :-0.0075 Median : 0.00000 Median : 0.00000
## Mean : 0.0170 Mean : 0.0740 Mean : 0.07737 Mean : 0.21663
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## Median : 0.00000 Median :-0.0600 Median :-0.0750 Median :-0.02500
## Mean : 0.03225 Mean :-0.0660 Mean : 0.0160 Mean :-0.07025
## 3rd Qu.: 0.15749 3rd Qu.: 0.1425 3rd Qu.: 0.3150 3rd Qu.: 0.31750
## Max. : 1.55000 Max. : 1.4900 Max. : 1.4400 Max. : 1.60500
## data.6500 data.6501 data.6502 data.6503
## Min. :-0.89001 Min. :-0.82500 Min. :-0.975000 Min. :-2.8800
## 1st Qu.:-0.30250 1st Qu.:-0.31000 1st Qu.:-0.265000 1st Qu.:-0.6350
## Median :-0.12001 Median :-0.05501 Median :-0.005000 Median :-0.0800
## Mean :-0.04751 Mean :-0.04225 Mean :-0.002252 Mean :-0.1483
## 3rd Qu.: 0.21999 3rd Qu.: 0.23500 3rd Qu.: 0.265000 3rd Qu.: 0.3525
## Max. : 1.08999 Max. : 1.15500 Max. : 0.960000 Max. : 1.7100
## data.6504 data.6505 data.6506 data.6507
## Min. :-1.265020 Min. :-0.9300 Min. :-1.40000 Min. :-0.5200098
## 1st Qu.:-0.527510 1st Qu.:-0.3825 1st Qu.:-0.44003 1st Qu.:-0.2300390
## Median :-0.050000 Median : 0.0950 Median :-0.01001 Median :-0.0000049
## Mean :-0.008752 Mean : 0.4100 Mean : 0.02037 Mean :-0.0190108
## 3rd Qu.: 0.457500 3rd Qu.: 0.7288 3rd Qu.: 0.57750 3rd Qu.: 0.1299902
## Max. : 1.995000 Max. : 2.7300 Max. : 1.36000 Max. : 0.7999902
## data.6508 data.6509 data.6510 data.6511
## Min. :-1.39500 Min. :-1.61500 Min. :-0.90498 Min. :-0.7250
## 1st Qu.:-0.31499 1st Qu.:-0.42750 1st Qu.:-0.36501 1st Qu.:-0.2900
## Median :-0.04000 Median :-0.04999 Median :-0.00750 Median :-0.0400
## Mean :-0.07075 Mean :-0.11375 Mean :-0.01375 Mean : 0.0310
## 3rd Qu.: 0.10250 3rd Qu.: 0.24000 3rd Qu.: 0.25000 3rd Qu.: 0.2188
## Max. : 1.10000 Max. : 0.75500 Max. : 1.04500 Max. : 1.2200
## data.6512 data.6513 data.6514 data.6515
## Min. :-1.74002 Min. :-0.9650195 Min. :-0.97000 Min. :-0.89501
## 1st Qu.:-0.46250 1st Qu.:-0.2862646 1st Qu.:-0.19250 1st Qu.:-0.29501
## Median : 0.00000 Median : 0.0000000 Median : 0.00000 Median : 0.01997
## Mean :-0.02413 Mean :-0.0002515 Mean :-0.02863 Mean : 0.01474
## 3rd Qu.: 0.40250 3rd Qu.: 0.2925000 3rd Qu.: 0.18500 3rd Qu.: 0.26249
## Max. : 1.15000 Max. : 1.1550000 Max. : 0.75000 Max. : 0.97499
## data.6516 data.6517 data.6518 data.6519
## Min. :-0.94000 Min. :-1.11501 Min. :-1.1300 Min. :-1.4900
## 1st Qu.:-0.32251 1st Qu.:-0.35001 1st Qu.:-0.3200 1st Qu.:-0.6825
## Median : 0.00000 Median :-0.01001 Median :-0.0300 Median :-0.1550
## Mean :-0.01275 Mean : 0.10024 Mean :-0.0570 Mean :-0.2300
## 3rd Qu.: 0.33000 3rd Qu.: 0.53999 3rd Qu.: 0.2125 3rd Qu.: 0.2825
## Max. : 1.00000 Max. : 1.52999 Max. : 1.1250 Max. : 1.4500
## data.6520 data.6521 data.6522 data.6523
## Min. :-1.8400 Min. :-2.53500 Min. :-0.97000 Min. :-0.8950
## 1st Qu.:-0.5550 1st Qu.:-0.24000 1st Qu.:-0.35500 1st Qu.:-0.3050
## Median :-0.1750 Median : 0.00000 Median : 0.00750 Median : 0.0000
## Mean :-0.1968 Mean : 0.05512 Mean :-0.07563 Mean :-0.0320
## 3rd Qu.: 0.2825 3rd Qu.: 0.12000 3rd Qu.: 0.23000 3rd Qu.: 0.2325
## Max. : 0.6800 Max. : 1.78500 Max. : 0.63000 Max. : 0.9750
## data.6524 data.6525 data.6526 data.6527
## Min. :-1.66002 Min. :-0.68000 Min. :-1.6300 Min. :-0.8900
## 1st Qu.:-0.11500 1st Qu.:-0.20250 1st Qu.:-0.8250 1st Qu.:-0.3625
## Median : 0.07000 Median :-0.00500 Median :-0.2400 Median : 0.0300
## Mean : 0.09937 Mean :-0.02863 Mean :-0.0875 Mean :-0.0585
## 3rd Qu.: 0.41249 3rd Qu.: 0.11250 3rd Qu.: 0.3400 3rd Qu.: 0.1775
## Max. : 1.08000 Max. : 0.71000 Max. : 3.3400 Max. : 0.7200
## data.6528 data.6529 data.6530 data.6531
## Min. :-0.6900 Min. :-0.95000 Min. :-1.74500 Min. :-2.15500
## 1st Qu.:-0.1900 1st Qu.:-0.42501 1st Qu.:-0.20500 1st Qu.:-0.72500
## Median : 0.0000 Median :-0.06500 Median : 0.04000 Median : 0.08501
## Mean : 0.1096 Mean :-0.05888 Mean : 0.05125 Mean :-0.02425
## 3rd Qu.: 0.3025 3rd Qu.: 0.17750 3rd Qu.: 0.22999 3rd Qu.: 0.61000
## Max. : 1.2300 Max. : 1.12000 Max. : 1.45000 Max. : 3.18500
## data.6532 data.6533 data.6534 data.6535
## Min. :-2.3550 Min. :-1.7700 Min. :-1.6700 Min. :-1.8600
## 1st Qu.:-0.5213 1st Qu.:-0.6275 1st Qu.:-0.4025 1st Qu.:-0.7275
## Median : 0.1450 Median : 0.1550 Median : 0.0650 Median :-0.0150
## Mean : 0.1552 Mean : 0.1220 Mean : 0.3810 Mean : 0.3724
## 3rd Qu.: 0.9550 3rd Qu.: 0.7525 3rd Qu.: 0.9875 3rd Qu.: 1.5025
## Max. : 3.0150 Max. : 2.1700 Max. : 5.9200 Max. : 4.1600
## data.6536 data.6537 data.6538 data.6539
## Min. :-0.8900 Min. :-2.6600 Min. :-2.08002 Min. :-1.73002
## 1st Qu.:-0.4950 1st Qu.:-0.4525 1st Qu.:-0.62000 1st Qu.:-0.69500
## Median :-0.0250 Median : 0.0700 Median : 0.00000 Median : 0.00000
## Mean : 0.3062 Mean : 0.3409 Mean : 0.04937 Mean :-0.08863
## 3rd Qu.: 0.9500 3rd Qu.: 0.9825 3rd Qu.: 0.83625 3rd Qu.: 0.46751
## Max. : 3.2600 Max. : 5.8400 Max. : 2.00000 Max. : 1.69000
## data.6540 data.6541 data.6542 data.6543
## Min. :-1.83000 Min. :-1.53002 Min. :-2.1600 Min. :-1.1800
## 1st Qu.:-0.54500 1st Qu.:-0.36502 1st Qu.:-0.5650 1st Qu.:-0.2750
## Median : 0.00000 Median : 0.06498 Median : 0.0000 Median : 0.0250
## Mean : 0.01675 Mean : 0.05598 Mean : 0.1629 Mean : 0.2905
## 3rd Qu.: 0.58750 3rd Qu.: 0.31998 3rd Qu.: 1.0200 3rd Qu.: 0.7325
## Max. : 1.59000 Max. : 1.58998 Max. : 4.3100 Max. : 3.2500
## data.6544 data.6545 data.6546 data.6547
## Min. :-1.0850 Min. :-1.4900 Min. :-1.33002 Min. :-1.3050
## 1st Qu.:-0.3350 1st Qu.:-0.3063 1st Qu.:-0.30250 1st Qu.:-0.4075
## Median : 0.0275 Median : 0.1150 Median : 0.00499 Median : 0.0000
## Mean : 0.2267 Mean : 0.2335 Mean : 0.13000 Mean : 0.2196
## 3rd Qu.: 0.4350 3rd Qu.: 0.5425 3rd Qu.: 0.35497 3rd Qu.: 0.3675
## Max. : 3.0250 Max. : 2.9900 Max. : 2.28000 Max. : 3.8550
## data.6548 data.6549 data.6550 data.6551
## Min. :-2.3725 Min. :-2.1800 Min. :-1.7600 Min. :-1.21500
## 1st Qu.:-0.3575 1st Qu.:-0.4450 1st Qu.:-0.1200 1st Qu.:-0.48750
## Median : 0.1025 Median : 0.0600 Median : 0.2200 Median : 0.00000
## Mean : 0.3160 Mean : 0.3269 Mean : 0.3799 Mean : 0.09975
## 3rd Qu.: 0.9050 3rd Qu.: 0.6150 3rd Qu.: 0.7125 3rd Qu.: 0.43000
## Max. : 3.5625 Max. : 4.3800 Max. : 3.1400 Max. : 2.04500
## data.6552 data.6553 data.6554 data.6555
## Min. :-1.2150 Min. :-1.3700 Min. :-1.2650 Min. :-0.79000
## 1st Qu.:-0.5925 1st Qu.:-0.1925 1st Qu.:-0.5775 1st Qu.:-0.30250
## Median :-0.0100 Median : 0.0950 Median : 0.0000 Median :-0.08000
## Mean :-0.0415 Mean : 0.1237 Mean : 0.1911 Mean :-0.02175
## 3rd Qu.: 0.3200 3rd Qu.: 0.4850 3rd Qu.: 0.2075 3rd Qu.: 0.15248
## Max. : 1.4750 Max. : 2.4800 Max. : 5.8550 Max. : 1.40000
## data.6556 data.6557 data.6558 data.6559
## Min. :-1.8200 Min. :-1.810000 Min. :-2.350 Min. :-1.05000
## 1st Qu.:-0.2250 1st Qu.:-0.357515 1st Qu.:-0.675 1st Qu.:-0.30251
## Median : 0.0000 Median :-0.020000 Median :-0.010 Median : 0.00000
## Mean : 0.2627 Mean :-0.005751 Mean :-0.040 Mean : 0.01962
## 3rd Qu.: 0.5925 3rd Qu.: 0.402500 3rd Qu.: 0.305 3rd Qu.: 0.25000
## Max. : 3.4000 Max. : 2.105000 Max. : 4.450 Max. : 2.30000
## data.6560 data.6561 data.6562 data.6563
## Min. :-1.47000 Min. :-0.94000 Min. :-1.80500 Min. :-1.4300
## 1st Qu.:-0.34251 1st Qu.:-0.31250 1st Qu.:-0.48500 1st Qu.:-0.6888
## Median : 0.00000 Median : 0.00000 Median :-0.08500 Median : 0.0000
## Mean : 0.07887 Mean : 0.09175 Mean :-0.08113 Mean :-0.0734
## 3rd Qu.: 0.31000 3rd Qu.: 0.01250 3rd Qu.: 0.25750 3rd Qu.: 0.2775
## Max. : 7.25000 Max. : 5.87000 Max. : 3.62500 Max. : 3.7400
## data.6564 data.6565 data.6566 data.6567
## Min. :-2.2950 Min. :-1.19000 Min. :-2.0900 Min. :-1.08000
## 1st Qu.:-0.6462 1st Qu.:-0.01000 1st Qu.: 0.0000 1st Qu.:-0.16251
## Median :-0.0100 Median : 0.00000 Median : 0.0000 Median :-0.01000
## Mean : 0.4029 Mean :-0.00825 Mean : 0.1192 Mean : 0.08837
## 3rd Qu.: 0.8300 3rd Qu.: 0.06750 3rd Qu.: 0.0000 3rd Qu.: 0.18000
## Max. : 7.6350 Max. : 2.35000 Max. : 3.5600 Max. : 2.48500
## data.6568 data.6569 data.6570 data.6571
## Min. :-2.00500 Min. :-0.85000 Min. :-1.99000 Min. :-1.36000
## 1st Qu.:-0.35500 1st Qu.:-0.20749 1st Qu.:-0.46500 1st Qu.:-0.40125
## Median :-0.00750 Median : 0.00000 Median : 0.00000 Median : 0.06001
## Mean :-0.01025 Mean : 0.06812 Mean : 0.08162 Mean :-0.01275
## 3rd Qu.: 0.21500 3rd Qu.: 0.25500 3rd Qu.: 0.64000 3rd Qu.: 0.42376
## Max. : 2.10500 Max. : 1.50500 Max. : 2.56000 Max. : 1.13000
## data.6572 data.6573 data.6574 data.6575
## Min. :-1.53002 Min. :-0.6300 Min. :-0.68002 Min. :-0.60250
## 1st Qu.:-0.65503 1st Qu.:-0.2350 1st Qu.:-0.18377 1st Qu.:-0.22000
## Median :-0.03001 Median : 0.0000 Median :-0.01501 Median : 0.01250
## Mean : 0.20611 Mean :-0.0325 Mean : 0.03823 Mean : 0.03775
## 3rd Qu.: 0.52998 3rd Qu.: 0.1700 3rd Qu.: 0.27123 3rd Qu.: 0.24999
## Max. : 3.87998 Max. : 0.5900 Max. : 0.94998 Max. : 0.87750
## data.6576 data.6577 data.6578 data.6579
## Min. :-0.6100 Min. :-0.8100 Min. :-0.720 Min. :-0.760000
## 1st Qu.:-0.2062 1st Qu.:-0.3000 1st Qu.:-0.255 1st Qu.:-0.305029
## Median : 0.0000 Median : 0.0000 Median :-0.005 Median :-0.070000
## Mean : 0.0645 Mean :-0.0350 Mean :-0.025 Mean : 0.004999
## 3rd Qu.: 0.3325 3rd Qu.: 0.1825 3rd Qu.: 0.225 3rd Qu.: 0.312500
## Max. : 0.8200 Max. : 0.7000 Max. : 0.850 Max. : 1.180000
## data.6580 data.6581 data.6582 data.6583
## Min. :-0.53500 Min. :-0.88000 Min. :-1.32000 Min. :-1.04001
## 1st Qu.:-0.22500 1st Qu.:-0.27250 1st Qu.:-0.36250 1st Qu.:-0.49751
## Median : 0.00999 Median : 0.08497 Median : 0.00000 Median :-0.04501
## Mean : 0.10125 Mean : 0.07850 Mean :-0.01963 Mean :-0.04276
## 3rd Qu.: 0.40750 3rd Qu.: 0.43000 3rd Qu.: 0.30250 3rd Qu.: 0.32498
## Max. : 1.22500 Max. : 0.95000 Max. : 1.03000 Max. : 1.51999
## data.6584 data.6585 data.6586 data.6587
## Min. :-1.9400 Min. :-0.935 Min. :-0.7300 Min. :-2.03000
## 1st Qu.:-1.2100 1st Qu.:-0.285 1st Qu.:-0.1300 1st Qu.:-0.27500
## Median : 0.0000 Median : 0.000 Median : 0.0000 Median : 0.00000
## Mean :-0.1287 Mean : 0.095 Mean : 0.0855 Mean :-0.04425
## 3rd Qu.: 0.7575 3rd Qu.: 0.470 3rd Qu.: 0.2900 3rd Qu.: 0.25250
## Max. : 2.1100 Max. : 1.225 Max. : 1.2900 Max. : 0.99500
## data.6588 data.6589 data.6590 data.6591
## Min. :-0.7500 Min. :-2.37000 Min. :-1.75002 Min. :-1.08500
## 1st Qu.:-0.4313 1st Qu.:-0.26500 1st Qu.:-0.33752 1st Qu.:-0.28500
## Median : 0.1300 Median : 0.00000 Median : 0.07998 Median :-0.03000
## Mean : 0.1340 Mean :-0.03613 Mean : 0.13723 Mean :-0.05688
## 3rd Qu.: 0.5175 3rd Qu.: 0.40250 3rd Qu.: 0.52248 3rd Qu.: 0.28000
## Max. : 1.6950 Max. : 2.62000 Max. : 2.20998 Max. : 0.78500
## data.6592 data.6593 data.6594 data.6595
## Min. :-0.650000 Min. :-1.6350 Min. :-0.8000 Min. :-1.335000
## 1st Qu.:-0.142495 1st Qu.:-0.4650 1st Qu.:-0.3125 1st Qu.:-0.515000
## Median :-0.020010 Median : 0.0000 Median :-0.0300 Median :-0.022500
## Mean :-0.009251 Mean :-0.1403 Mean :-0.0195 Mean : 0.005624
## 3rd Qu.: 0.175000 3rd Qu.: 0.0275 3rd Qu.: 0.1500 3rd Qu.: 0.402500
## Max. : 0.790000 Max. : 1.1450 Max. : 1.0000 Max. : 1.685000
## data.6596 data.6597 data.6598 data.6599
## Min. :-0.30000 Min. :-0.83000 Min. :-0.6800 Min. :-1.1300
## 1st Qu.:-0.09250 1st Qu.:-0.19000 1st Qu.:-0.3325 1st Qu.:-0.5700
## Median :-0.02000 Median :-0.02500 Median :-0.1400 Median :-0.1100
## Mean : 0.03537 Mean : 0.06675 Mean : 0.1182 Mean :-0.1709
## 3rd Qu.: 0.09500 3rd Qu.: 0.18500 3rd Qu.: 0.3325 3rd Qu.: 0.2050
## Max. : 0.68000 Max. : 1.58000 Max. : 2.5800 Max. : 0.7350
## data.6600 data.6601 data.6602 data.6603
## Min. :-0.95000 Min. :-1.3200 Min. :-1.30002 Min. :-1.41500
## 1st Qu.:-0.67001 1st Qu.:-0.3150 1st Qu.:-0.22750 1st Qu.:-0.25750
## Median :-0.01001 Median : 0.1350 Median :-0.02000 Median :-0.03500
## Mean : 0.02287 Mean : 0.1669 Mean : 0.04637 Mean : 0.05125
## 3rd Qu.: 0.55750 3rd Qu.: 0.7050 3rd Qu.: 0.29500 3rd Qu.: 0.34250
## Max. : 1.41000 Max. : 1.5200 Max. : 1.70000 Max. : 2.13000
## data.6604 data.6605 data.6606 data.6607
## Min. :-3.68000 Min. :-0.9900 Min. :-1.0650 Min. :-1.0400
## 1st Qu.:-0.79251 1st Qu.:-0.3000 1st Qu.:-0.2475 1st Qu.:-0.3500
## Median : 0.03000 Median : 0.0000 Median : 0.0500 Median : 0.1750
## Mean :-0.01788 Mean : 0.1169 Mean : 0.1012 Mean : 0.3155
## 3rd Qu.: 0.81000 3rd Qu.: 0.4825 3rd Qu.: 0.3575 3rd Qu.: 0.8325
## Max. : 2.60000 Max. : 1.9400 Max. : 1.3550 Max. : 2.0600
## data.6608 data.6609 data.6610 data.6611
## Min. :-1.93000 Min. :-1.2700 Min. :-2.7850 Min. :-2.8700
## 1st Qu.:-0.46750 1st Qu.:-0.2775 1st Qu.:-0.3325 1st Qu.:-0.5675
## Median : 0.00000 Median :-0.0500 Median : 0.0850 Median : 0.2000
## Mean : 0.07512 Mean : 0.0365 Mean : 0.2232 Mean : 0.4264
## 3rd Qu.: 0.38250 3rd Qu.: 0.3475 3rd Qu.: 0.8700 3rd Qu.: 1.6625
## Max. : 2.44000 Max. : 1.6100 Max. : 3.9750 Max. : 3.8000
## data.6612 data.6613 data.6614 data.6615
## Min. :-1.5850 Min. :-2.16000 Min. :-2.0200 Min. :-1.7500
## 1st Qu.:-0.2100 1st Qu.:-0.36500 1st Qu.:-0.7250 1st Qu.:-0.4600
## Median : 0.0000 Median :-0.05502 Median : 0.0000 Median : 0.0000
## Mean : 0.6184 Mean : 0.29087 Mean : 0.1554 Mean : 0.3334
## 3rd Qu.: 1.0075 3rd Qu.: 0.32752 3rd Qu.: 0.0300 3rd Qu.: 0.3125
## Max. : 6.3150 Max. : 4.92000 Max. : 4.4900 Max. : 5.6350
## data.6616 data.6617 data.6618 data.6619
## Min. :-1.0350 Min. :-1.1850 Min. :-1.78996 Min. :-1.33996
## 1st Qu.:-0.2950 1st Qu.:-0.4825 1st Qu.:-1.00496 1st Qu.:-0.45496
## Median : 0.0000 Median :-0.2900 Median :-0.10496 Median :-0.10495
## Mean : 0.5014 Mean :-0.1367 Mean : 0.00216 Mean : 0.06379
## 3rd Qu.: 0.0250 3rd Qu.: 0.1600 3rd Qu.: 0.66004 3rd Qu.: 0.43254
## Max. : 5.5700 Max. : 2.1200 Max. : 5.00504 Max. : 1.91004
## data.6620 data.6621 data.6622 data.6623
## Min. :-0.78498 Min. :-0.84000 Min. :-3.3850 Min. :-0.700000
## 1st Qu.:-0.37497 1st Qu.:-0.31250 1st Qu.:-1.0675 1st Qu.:-0.320000
## Median :-0.00749 Median :-0.06500 Median : 0.0000 Median :-0.040000
## Mean :-0.05823 Mean :-0.03988 Mean :-0.1258 Mean :-0.009126
## 3rd Qu.: 0.18750 3rd Qu.: 0.21249 3rd Qu.: 0.5275 3rd Qu.: 0.227500
## Max. : 1.02502 Max. : 1.01000 Max. : 4.9300 Max. : 1.140000
## data.6624 data.6625 data.6626 data.6627
## Min. :-1.56500 Min. :-0.5950 Min. :-3.40750 Min. :-0.84000
## 1st Qu.:-0.47250 1st Qu.:-0.2400 1st Qu.:-0.49998 1st Qu.:-0.37000
## Median :-0.01500 Median : 0.0800 Median : 0.11752 Median :-0.00500
## Mean : 0.04237 Mean : 0.1370 Mean :-0.07873 Mean :-0.08538
## 3rd Qu.: 0.26750 3rd Qu.: 0.4075 3rd Qu.: 0.70752 3rd Qu.: 0.12750
## Max. : 2.27500 Max. : 1.2450 Max. : 1.59252 Max. : 0.90002
## data.6628 data.6629 data.6630 data.6631
## Min. :-1.18500 Min. :-0.8100 Min. :-1.04500 Min. :-0.98000
## 1st Qu.:-0.41750 1st Qu.:-0.2050 1st Qu.:-0.29749 1st Qu.:-0.41750
## Median : 0.00000 Median : 0.0000 Median : 0.04999 Median : 0.06000
## Mean :-0.03475 Mean : 0.0560 Mean : 0.15825 Mean : 0.07387
## 3rd Qu.: 0.26000 3rd Qu.: 0.3075 3rd Qu.: 0.39000 3rd Qu.: 0.39374
## Max. : 0.95500 Max. : 1.0700 Max. : 1.78000 Max. : 1.71000
## data.6632 data.6633 data.6634 data.6635
## Min. :-0.7200 Min. :-0.67001 Min. :-1.48999 Min. :-1.3150
## 1st Qu.:-0.2375 1st Qu.:-0.11253 1st Qu.:-0.41499 1st Qu.:-0.6125
## Median : 0.0000 Median : 0.00000 Median : 0.00000 Median : 0.0000
## Mean : 0.1744 Mean : 0.03537 Mean : 0.08251 Mean : 0.8317
## 3rd Qu.: 0.5125 3rd Qu.: 0.23249 3rd Qu.: 0.28001 3rd Qu.: 0.9025
## Max. : 2.1800 Max. : 1.57999 Max. : 2.85001 Max. : 7.1050
## data.6636 data.6637 data.6638 data.6639
## Min. :-1.560 Min. :-1.2300 Min. :-1.02000 Min. :-1.9400
## 1st Qu.:-0.935 1st Qu.:-0.5125 1st Qu.:-0.41250 1st Qu.:-0.7450
## Median :-0.090 Median : 0.0000 Median : 0.02000 Median : 0.1150
## Mean : 0.056 Mean :-0.0705 Mean :-0.01175 Mean : 0.2167
## 3rd Qu.: 0.935 3rd Qu.: 0.2625 3rd Qu.: 0.26250 3rd Qu.: 1.0462
## Max. : 3.040 Max. : 1.1900 Max. : 1.27000 Max. : 2.5900
## data.6640 data.6641 data.6642 data.6643
## Min. :-2.4150 Min. :-3.1300 Min. :-1.1700 Min. :-2.64500
## 1st Qu.:-0.9850 1st Qu.:-0.7825 1st Qu.:-0.2650 1st Qu.:-0.77250
## Median : 0.1350 Median : 0.0000 Median : 0.0000 Median :-0.04999
## Mean : 0.1484 Mean :-0.1350 Mean : 0.4499 Mean : 0.10937
## 3rd Qu.: 1.1950 3rd Qu.: 0.5600 3rd Qu.: 0.7412 3rd Qu.: 0.83500
## Max. : 2.7150 Max. : 2.3950 Max. : 3.2700 Max. : 4.00500
## data.6644 data.6645 data.6646 data.6647
## Min. :-2.1200 Min. :-1.15000 Min. :-4.79249 Min. :-1.27002
## 1st Qu.:-0.5450 1st Qu.:-0.39750 1st Qu.:-0.92749 1st Qu.:-0.33999
## Median : 0.0000 Median :-0.03499 Median :-0.00999 Median : 0.01000
## Mean : 0.5304 Mean : 0.34637 Mean :-0.23968 Mean : 0.08112
## 3rd Qu.: 1.5037 3rd Qu.: 0.77000 3rd Qu.: 0.58751 3rd Qu.: 0.50626
## Max. : 5.8000 Max. : 3.94000 Max. : 3.64751 Max. : 1.75000
## data.6648 data.6649 data.6650 data.6651
## Min. :-1.1600 Min. :-1.11000 Min. :-0.92498 Min. :-1.230000
## 1st Qu.:-0.1400 1st Qu.:-0.12750 1st Qu.:-0.40500 1st Qu.:-0.465000
## Median : 0.0500 Median : 0.01000 Median :-0.02500 Median : 0.020000
## Mean : 0.1561 Mean : 0.07025 Mean :-0.02038 Mean : 0.004624
## 3rd Qu.: 0.4700 3rd Qu.: 0.38250 3rd Qu.: 0.40000 3rd Qu.: 0.372500
## Max. : 1.4500 Max. : 1.04500 Max. : 0.97500 Max. : 2.520000
## data.6652 data.6653 data.6654 data.6655
## Min. :-1.4950 Min. :-1.570000 Min. :-1.3500 Min. :-0.98500
## 1st Qu.:-0.2825 1st Qu.:-0.310000 1st Qu.:-0.4125 1st Qu.:-0.39748
## Median : 0.0100 Median : 0.050000 Median : 0.0050 Median :-0.01500
## Mean :-0.0475 Mean :-0.002001 Mean :-0.0400 Mean :-0.06798
## 3rd Qu.: 0.2900 3rd Qu.: 0.423750 3rd Qu.: 0.2650 3rd Qu.: 0.25750
## Max. : 0.7350 Max. : 1.190000 Max. : 1.4200 Max. : 0.84502
## data.6656 data.6657 data.6658 data.6659
## Min. :-2.7700 Min. :-2.34000 Min. :-0.9300 Min. :-0.9200
## 1st Qu.:-1.5600 1st Qu.:-1.35251 1st Qu.:-0.2913 1st Qu.:-0.2750
## Median :-0.1250 Median :-0.44999 Median : 0.0000 Median : 0.0450
## Mean :-0.3771 Mean :-0.03663 Mean : 0.1075 Mean : 0.2236
## 3rd Qu.: 0.7300 3rd Qu.: 1.30250 3rd Qu.: 0.3825 3rd Qu.: 0.4525
## Max. : 2.0600 Max. : 2.49000 Max. : 1.7100 Max. : 2.3800
## data.6660 data.6661 data.6662 data.6663
## Min. :-1.70504 Min. :-0.7750 Min. :-1.1775 Min. :-0.77004
## 1st Qu.:-0.26750 1st Qu.:-0.2963 1st Qu.:-0.3563 1st Qu.:-0.16251
## Median : 0.05999 Median : 0.0750 Median :-0.0150 Median : 0.04499
## Mean : 0.28212 Mean : 0.2035 Mean : 0.0725 Mean : 0.08987
## 3rd Qu.: 0.97500 3rd Qu.: 0.6700 3rd Qu.: 0.4525 3rd Qu.: 0.27250
## Max. : 3.59500 Max. : 1.4950 Max. : 1.5025 Max. : 2.02000
## data.6664 data.6665 data.6666 data.6667
## Min. :-1.5500 Min. :-1.40000 Min. :-1.15002 Min. :-0.679980
## 1st Qu.:-0.6900 1st Qu.:-0.31500 1st Qu.:-0.34750 1st Qu.:-0.210000
## Median :-0.0250 Median : 0.00000 Median : 0.00000 Median :-0.035000
## Mean :-0.1278 Mean :-0.01312 Mean : 0.01125 Mean :-0.009251
## 3rd Qu.: 0.3562 3rd Qu.: 0.37000 3rd Qu.: 0.42250 3rd Qu.: 0.162500
## Max. : 1.8500 Max. : 1.48000 Max. : 0.99000 Max. : 0.780000
## data.6668 data.6669 data.6670 data.6671
## Min. :-1.40000 Min. :-0.700000 Min. :-1.30500 Min. :-0.460000
## 1st Qu.:-0.35250 1st Qu.:-0.262500 1st Qu.:-0.38500 1st Qu.:-0.157500
## Median :-0.12500 Median :-0.050000 Median : 0.09000 Median :-0.015000
## Mean : 0.07662 Mean :-0.003877 Mean : 0.01125 Mean : 0.005749
## 3rd Qu.: 0.40500 3rd Qu.: 0.197490 3rd Qu.: 0.24875 3rd Qu.: 0.067500
## Max. : 2.42000 Max. : 1.580000 Max. : 0.99500 Max. : 0.570000
## data.6672 data.6673 data.6674 data.6675
## Min. :-1.2500 Min. :-3.3900 Min. :-2.6200 Min. :-1.06000
## 1st Qu.:-0.3287 1st Qu.:-0.8525 1st Qu.:-0.4150 1st Qu.:-0.40500
## Median :-0.0100 Median : 0.0000 Median : 0.0000 Median : 0.00000
## Mean : 0.1986 Mean :-0.1986 Mean :-0.2451 Mean :-0.01913
## 3rd Qu.: 0.5725 3rd Qu.: 0.1225 3rd Qu.: 0.2600 3rd Qu.: 0.24500
## Max. : 2.0400 Max. : 3.1300 Max. : 0.8600 Max. : 1.09000
## data.6676 data.6677 data.6678 data.6679
## Min. :-1.79002 Min. :-1.9150 Min. :-2.1050 Min. :-0.72500
## 1st Qu.:-0.68125 1st Qu.:-0.7000 1st Qu.:-0.6850 1st Qu.:-0.39750
## Median :-0.06001 Median :-0.0950 Median :-0.1350 Median :-0.08500
## Mean :-0.16688 Mean :-0.1335 Mean :-0.1493 Mean :-0.04238
## 3rd Qu.: 0.25999 3rd Qu.: 0.3425 3rd Qu.: 0.4350 3rd Qu.: 0.20500
## Max. : 1.43000 Max. : 1.5650 Max. : 1.5250 Max. : 0.98500
## data.6680 data.6681 data.6682 data.6683
## Min. :-1.8900 Min. :-1.4350 Min. :-1.5625 Min. :-1.19000
## 1st Qu.:-0.6350 1st Qu.:-0.2575 1st Qu.:-0.3950 1st Qu.:-0.36250
## Median :-0.0050 Median :-0.0400 Median :-0.0425 Median :-0.09000
## Mean :-0.1401 Mean :-0.0265 Mean :-0.1060 Mean :-0.06538
## 3rd Qu.: 0.4237 3rd Qu.: 0.2600 3rd Qu.: 0.1875 3rd Qu.: 0.35000
## Max. : 1.7400 Max. : 1.1200 Max. : 0.9375 Max. : 0.67000
## data.6684 data.6685 data.6686 data.6687
## Min. :-1.08500 Min. :-3.2300 Min. :-3.1400 Min. :-3.8650
## 1st Qu.:-0.55750 1st Qu.:-1.3950 1st Qu.:-1.2550 1st Qu.:-1.3850
## Median :-0.16000 Median :-0.0750 Median :-0.0100 Median :-0.0275
## Mean :-0.09525 Mean :-0.2795 Mean :-0.1554 Mean :-0.4925
## 3rd Qu.: 0.37250 3rd Qu.: 0.4437 3rd Qu.: 0.7025 3rd Qu.: 0.5837
## Max. : 0.99000 Max. : 2.3200 Max. : 2.2900 Max. : 2.2650
## data.6688 data.6689 data.6690 data.6691
## Min. :-5.1500 Min. :-5.3900 Min. :-1.49002 Min. :-1.46000
## 1st Qu.:-1.9525 1st Qu.:-1.9150 1st Qu.:-0.62000 1st Qu.:-0.57000
## Median :-0.0350 Median :-0.0650 Median :-0.01000 Median :-0.01001
## Mean :-0.7195 Mean :-0.7540 Mean :-0.08125 Mean :-0.07250
## 3rd Qu.: 0.4813 3rd Qu.: 0.3837 3rd Qu.: 0.38000 3rd Qu.: 0.19500
## Max. : 2.4200 Max. : 2.4400 Max. : 1.33000 Max. : 2.71000
## data.6692 data.6693 data.6694 data.6695
## Min. :-1.00000 Min. :-1.06000 Min. :-1.27000 Min. :-1.00000
## 1st Qu.:-0.25500 1st Qu.:-0.38751 1st Qu.:-0.38250 1st Qu.:-0.31252
## Median :-0.00500 Median :-0.01000 Median : 0.00250 Median : 0.03999
## Mean :-0.03363 Mean : 0.01575 Mean : 0.07125 Mean :-0.02400
## 3rd Qu.: 0.10000 3rd Qu.: 0.38249 3rd Qu.: 0.50750 3rd Qu.: 0.22000
## Max. : 1.08000 Max. : 1.42000 Max. : 1.44000 Max. : 0.74000
## data.6696 data.6697 data.6698 data.6699
## Min. :-1.03998 Min. :-0.5700 Min. :-0.72001 Min. :-0.48750
## 1st Qu.:-0.32498 1st Qu.:-0.1963 1st Qu.:-0.26002 1st Qu.:-0.20750
## Median :-0.02998 Median : 0.0000 Median :-0.05501 Median :-0.00125
## Mean :-0.04023 Mean : 0.0220 Mean :-0.04676 Mean : 0.08544
## 3rd Qu.: 0.16002 3rd Qu.: 0.2550 3rd Qu.: 0.14249 3rd Qu.: 0.29000
## Max. : 0.88502 Max. : 0.9200 Max. : 0.76999 Max. : 1.58250
## data.6700 data.6701 data.6702 data.6703
## Min. :-1.41500 Min. :-1.59002 Min. :-2.29000 Min. :-2.0450
## 1st Qu.:-0.35751 1st Qu.:-0.35752 1st Qu.:-0.47250 1st Qu.:-0.6025
## Median : 0.09000 Median : 0.05498 Median : 0.06000 Median : 0.0000
## Mean : 0.04125 Mean : 0.05123 Mean :-0.02563 Mean :-0.1305
## 3rd Qu.: 0.45500 3rd Qu.: 0.47623 3rd Qu.: 0.62501 3rd Qu.: 0.3775
## Max. : 1.05500 Max. : 2.57998 Max. : 1.49000 Max. : 1.4450
## data.6704 data.6705 data.6706 data.6707
## Min. :-1.5200 Min. :-3.06000 Min. :-0.860000 Min. :-1.12500
## 1st Qu.:-0.4250 1st Qu.:-1.73000 1st Qu.:-0.295000 1st Qu.:-0.24750
## Median : 0.0000 Median : 0.09501 Median :-0.072500 Median :-0.01000
## Mean : 0.2401 Mean :-0.04225 Mean :-0.007751 Mean :-0.05325
## 3rd Qu.: 0.4750 3rd Qu.: 0.90500 3rd Qu.: 0.210000 3rd Qu.: 0.24625
## Max. : 4.0100 Max. : 2.97000 Max. : 0.909980 Max. : 0.64500
## data.6708 data.6709 data.6710 data.6711
## Min. :-2.49000 Min. :-1.8300 Min. :-1.5050 Min. :-1.6700
## 1st Qu.:-0.15250 1st Qu.:-0.5575 1st Qu.:-0.6275 1st Qu.:-0.4025
## Median : 0.01750 Median : 0.0000 Median : 0.0000 Median :-0.0100
## Mean :-0.03513 Mean : 0.3452 Mean : 0.7527 Mean : 0.1716
## 3rd Qu.: 0.13000 3rd Qu.: 1.3887 3rd Qu.: 0.7825 3rd Qu.: 0.4300
## Max. : 0.71000 Max. : 3.9900 Max. : 8.0050 Max. : 6.6300
## data.6712 data.6713 data.6714 data.6715
## Min. :-0.52498 Min. :-1.38000 Min. :-2.14000 Min. :-0.55500
## 1st Qu.:-0.10998 1st Qu.:-0.61750 1st Qu.:-0.43500 1st Qu.:-0.12750
## Median :-0.01498 Median : 0.00000 Median : 0.00000 Median : 0.00000
## Mean : 0.08339 Mean : 0.04925 Mean : 0.01025 Mean : 0.09325
## 3rd Qu.: 0.12502 3rd Qu.: 0.43000 3rd Qu.: 0.01750 3rd Qu.: 0.26000
## Max. : 1.90002 Max. : 4.35000 Max. : 6.83000 Max. : 2.24500
## data.6716 data.6717 data.6718 data.6719
## Min. :-0.59998 Min. :-3.0000 Min. :-4.1100 Min. :-3.3500
## 1st Qu.:-0.23497 1st Qu.:-1.4150 1st Qu.:-0.9775 1st Qu.:-0.7425
## Median : 0.00000 Median : 0.3250 Median : 0.1300 Median : 0.1550
## Mean : 0.02727 Mean : 0.1362 Mean : 0.1962 Mean : 0.2452
## 3rd Qu.: 0.15002 3rd Qu.: 1.2700 3rd Qu.: 1.1325 3rd Qu.: 1.0400
## Max. : 1.27002 Max. : 4.7200 Max. : 3.8800 Max. : 3.6200
## data.6720 data.6721 data.6722 data.6723
## Min. :-3.1300100 Min. :-1.3800 Min. :-1.07996 Min. :-1.5900
## 1st Qu.:-0.3924902 1st Qu.:-0.8000 1st Qu.:-0.18496 1st Qu.:-0.5725
## Median : 0.0000049 Median : 0.0000 Median : 0.08504 Median : 0.0000
## Mean : 0.0493829 Mean : 0.0130 Mean : 0.10454 Mean : 0.5822
## 3rd Qu.: 0.1950098 3rd Qu.: 0.3775 3rd Qu.: 0.46004 3rd Qu.: 1.9213
## Max. : 2.4300100 Max. : 2.0700 Max. : 1.34004 Max. : 4.0600
## data.6724 data.6725 data.6726 data.6727
## Min. :-2.0400 Min. :-1.98996 Min. :-1.28000 Min. :-2.00501
## 1st Qu.:-0.6025 1st Qu.:-0.63746 1st Qu.:-0.41750 1st Qu.:-0.62751
## Median : 0.0200 Median : 0.00000 Median :-0.08499 Median :-0.07502
## Mean : 0.1720 Mean : 0.01953 Mean : 0.04875 Mean :-0.08926
## 3rd Qu.: 0.8013 3rd Qu.: 0.50254 3rd Qu.: 0.41750 3rd Qu.: 0.41999
## Max. : 2.6200 Max. : 2.51004 Max. : 2.71000 Max. : 1.80499
## data.6728 data.6729 data.6730 data.6731
## Min. :-1.07000 Min. :-1.15000 Min. :-1.090 Min. :-1.3800
## 1st Qu.:-0.41000 1st Qu.:-0.28250 1st Qu.:-0.280 1st Qu.:-0.3750
## Median :-0.06000 Median : 0.00000 Median : 0.010 Median : 0.0000
## Mean :-0.01325 Mean : 0.03625 Mean : 0.438 Mean : 0.4627
## 3rd Qu.: 0.23250 3rd Qu.: 0.25250 3rd Qu.: 0.745 3rd Qu.: 1.0525
## Max. : 1.43000 Max. : 1.61000 Max. : 3.950 Max. : 3.7150
## data.6732 data.6733 data.6734 data.6735
## Min. :-1.08000 Min. :-1.5850 Min. :-3.31002 Min. :-1.02998
## 1st Qu.:-0.52000 1st Qu.:-0.6150 1st Qu.:-0.94502 1st Qu.:-0.28998
## Median : 0.00500 Median : 0.0000 Median :-0.05501 Median :-0.04998
## Mean : 0.02137 Mean :-0.1205 Mean :-0.20202 Mean :-0.03798
## 3rd Qu.: 0.55000 3rd Qu.: 0.4125 3rd Qu.: 0.58498 3rd Qu.: 0.25252
## Max. : 1.55000 Max. : 1.4450 Max. : 1.63996 Max. : 1.33002
## data.6736 data.6737 data.6738 data.6739
## Min. :-3.0350 Min. :-3.5450 Min. :-2.9825 Min. :-0.6700
## 1st Qu.:-1.3425 1st Qu.:-1.0850 1st Qu.:-1.2625 1st Qu.:-0.1850
## Median :-0.5900 Median :-0.3800 Median :-0.3975 Median : 0.1100
## Mean :-0.3462 Mean :-0.0505 Mean :-0.4565 Mean : 0.1206
## 3rd Qu.: 0.7275 3rd Qu.: 1.2550 3rd Qu.: 0.6825 3rd Qu.: 0.3350
## Max. : 3.1350 Max. : 2.5650 Max. : 1.5675 Max. : 1.2300
## data.6740 data.6741 data.6742 data.6743
## Min. :-1.0100 Min. :-1.3100 Min. :-1.6950 Min. :-0.97001
## 1st Qu.:-0.1600 1st Qu.:-0.3025 1st Qu.:-0.3325 1st Qu.:-0.29126
## Median : 0.1000 Median : 0.1100 Median : 0.2500 Median : 0.04499
## Mean : 0.1691 Mean : 0.2675 Mean : 0.2942 Mean : 0.34249
## 3rd Qu.: 0.3750 3rd Qu.: 0.6375 3rd Qu.: 0.5825 3rd Qu.: 0.68749
## Max. : 1.6900 Max. : 3.0700 Max. : 2.9800 Max. : 2.81999
## data.6744 data.6745 data.6746 data.6747
## Min. :-1.0250 Min. :-2.04499 Min. :-1.43998 Min. :-0.99000
## 1st Qu.:-0.4675 1st Qu.:-0.71001 1st Qu.:-0.59498 1st Qu.:-0.47250
## Median : 0.1300 Median :-0.06500 Median :-0.10998 Median :-0.07502
## Mean : 0.3485 Mean :-0.09489 Mean : 0.07002 Mean : 0.19525
## 3rd Qu.: 0.9137 3rd Qu.: 0.45249 3rd Qu.: 0.57751 3rd Qu.: 0.58499
## Max. : 2.7450 Max. : 3.28497 Max. : 2.99000 Max. : 2.70500
## data.6748 data.6749 data.6750 data.6751
## Min. :-0.58000 Min. :-0.86996 Min. :-1.25498 Min. :-1.2975
## 1st Qu.:-0.10500 1st Qu.:-0.22246 1st Qu.:-0.31498 1st Qu.:-0.2575
## Median : 0.00500 Median : 0.11003 Median : 0.01001 Median : 0.0050
## Mean : 0.03025 Mean : 0.05354 Mean :-0.01848 Mean : 0.0115
## 3rd Qu.: 0.21999 3rd Qu.: 0.32004 3rd Qu.: 0.28752 3rd Qu.: 0.2575
## Max. : 0.55500 Max. : 0.67504 Max. : 0.77002 Max. : 0.7475
## data.6752 data.6753 data.6754 data.6755
## Min. :-0.8400 Min. :-0.8500 Min. :-0.5300 Min. :-0.7400
## 1st Qu.:-0.1200 1st Qu.:-0.2125 1st Qu.:-0.1100 1st Qu.:-0.1150
## Median : 0.1350 Median : 0.1400 Median : 0.0900 Median : 0.0700
## Mean : 0.1262 Mean : 0.1357 Mean : 0.1184 Mean : 0.0495
## 3rd Qu.: 0.4137 3rd Qu.: 0.5200 3rd Qu.: 0.4000 3rd Qu.: 0.2900
## Max. : 1.0800 Max. : 1.1400 Max. : 0.8300 Max. : 0.7500
## data.6756 data.6757 data.6758 data.6759
## Min. :-1.08498 Min. :-1.38502 Min. :-1.61001 Min. :-1.45000
## 1st Qu.:-0.33748 1st Qu.:-0.67500 1st Qu.:-0.47251 1st Qu.:-0.28250
## Median : 0.05500 Median : 0.06000 Median : 0.00000 Median :-0.05499
## Mean : 0.03752 Mean :-0.06975 Mean :-0.02226 Mean :-0.06900
## 3rd Qu.: 0.39753 3rd Qu.: 0.42250 3rd Qu.: 0.42999 3rd Qu.: 0.22751
## Max. : 1.47502 Max. : 1.59500 Max. : 1.59999 Max. : 0.98500
## data.6760 data.6761 data.6762 data.6763
## Min. :-1.5250 Min. :-1.6825 Min. :-0.79000 Min. :-0.87501
## 1st Qu.:-0.2850 1st Qu.:-0.5325 1st Qu.:-0.13501 1st Qu.:-0.23750
## Median : 0.0000 Median : 0.2025 Median : 0.01000 Median : 0.06999
## Mean :-0.1075 Mean : 0.0655 Mean : 0.04125 Mean : 0.02874
## 3rd Qu.: 0.1175 3rd Qu.: 0.4850 3rd Qu.: 0.16500 3rd Qu.: 0.22749
## Max. : 0.6400 Max. : 1.4525 Max. : 0.79000 Max. : 1.30499
## data.6764 data.6765 data.6766 data.6767
## Min. :-0.9200 Min. :-0.8550 Min. :-0.9600 Min. :-0.930000
## 1st Qu.:-0.2525 1st Qu.:-0.2350 1st Qu.:-0.2062 1st Qu.:-0.205000
## Median : 0.0000 Median : 0.0550 Median : 0.1400 Median : 0.000000
## Mean : 0.0175 Mean : 0.0455 Mean : 0.1460 Mean : 0.009623
## 3rd Qu.: 0.3600 3rd Qu.: 0.3400 3rd Qu.: 0.5650 3rd Qu.: 0.242495
## Max. : 1.2900 Max. : 1.3150 Max. : 1.4900 Max. : 0.840000
## data.6768 data.6769 data.6770 data.6771
## Min. :-0.71500 Min. :-0.7300 Min. :-1.13002 Min. :-1.07500
## 1st Qu.:-0.19375 1st Qu.:-0.3825 1st Qu.:-0.30000 1st Qu.:-0.29250
## Median : 0.01000 Median :-0.0450 Median :-0.12000 Median :-0.05499
## Mean : 0.05675 Mean :-0.0585 Mean :-0.06025 Mean :-0.06800
## 3rd Qu.: 0.25000 3rd Qu.: 0.1525 3rd Qu.: 0.20250 3rd Qu.: 0.19751
## Max. : 0.97500 Max. : 0.7700 Max. : 0.92000 Max. : 0.81500
## data.6772 data.6773 data.6774 data.6775
## Min. :-1.0250 Min. :-1.0450 Min. :-0.70000 Min. :-0.830000
## 1st Qu.:-0.3375 1st Qu.:-0.2900 1st Qu.:-0.31875 1st Qu.:-0.315000
## Median :-0.0900 Median :-0.1150 Median :-0.02500 Median : 0.030000
## Mean :-0.0540 Mean :-0.0780 Mean :-0.01425 Mean :-0.004252
## 3rd Qu.: 0.2225 3rd Qu.: 0.1475 3rd Qu.: 0.20997 3rd Qu.: 0.244995
## Max. : 0.6750 Max. : 0.9150 Max. : 0.85000 Max. : 1.060000
## data.6776 data.6777 data.6778 data.6779
## Min. :-0.90000 Min. :-0.830020 Min. :-0.9250 Min. :-0.9300
## 1st Qu.:-0.32001 1st Qu.:-0.312534 1st Qu.:-0.4100 1st Qu.:-0.4700
## Median :-0.03999 Median :-0.020010 Median :-0.0700 Median :-0.0925
## Mean :-0.03050 Mean : 0.002729 Mean :-0.0555 Mean :-0.0940
## 3rd Qu.: 0.29749 3rd Qu.: 0.332481 3rd Qu.: 0.3100 3rd Qu.: 0.1475
## Max. : 1.29000 Max. : 1.139980 Max. : 1.0950 Max. : 0.8600
## data.6780 data.6781 data.6782 data.6783
## Min. :-0.900 Min. :-0.77500 Min. :-0.6375 Min. :-0.780
## 1st Qu.:-0.280 1st Qu.:-0.32375 1st Qu.:-0.1475 1st Qu.:-0.255
## Median : 0.030 Median : 0.00500 Median :-0.0175 Median : 0.000
## Mean :-0.022 Mean : 0.04775 Mean : 0.1055 Mean : 0.042
## 3rd Qu.: 0.245 3rd Qu.: 0.36750 3rd Qu.: 0.3775 3rd Qu.: 0.315
## Max. : 0.780 Max. : 1.29500 Max. : 1.3225 Max. : 0.910
## data.6784 data.6785 data.6786 data.6787
## Min. :-0.8900 Min. :-0.6250 Min. :-1.460000 Min. :-0.94500
## 1st Qu.:-0.2625 1st Qu.:-0.2175 1st Qu.:-0.362500 1st Qu.:-0.30500
## Median : 0.0000 Median :-0.0200 Median :-0.034990 Median : 0.04501
## Mean : 0.0105 Mean : 0.0230 Mean :-0.006502 Mean : 0.04750
## 3rd Qu.: 0.2150 3rd Qu.: 0.1975 3rd Qu.: 0.342500 3rd Qu.: 0.44250
## Max. : 1.1300 Max. : 1.3750 Max. : 1.750000 Max. : 1.14500
## data.6788 data.6789 data.6790 data.6791
## Min. :-0.76500 Min. :-1.3600100 Min. :-0.67501 Min. :-0.80000
## 1st Qu.:-0.30499 1st Qu.:-0.3050098 1st Qu.:-0.29751 1st Qu.:-0.29250
## Median : 0.02001 Median :-0.0000098 Median : 0.07999 Median : 0.03000
## Mean : 0.04200 Mean :-0.0507613 Mean :-0.02976 Mean : 0.01675
## 3rd Qu.: 0.41000 3rd Qu.: 0.2024610 3rd Qu.: 0.16249 3rd Qu.: 0.27750
## Max. : 1.12500 Max. : 0.7999707 Max. : 0.67499 Max. : 1.02000
## data.6792 data.6793 data.6794 data.6795
## Min. :-0.8800 Min. :-1.14000 Min. :-0.605 Min. :-0.9000
## 1st Qu.:-0.3300 1st Qu.:-0.37250 1st Qu.:-0.185 1st Qu.:-0.2875
## Median : 0.0000 Median : 0.03500 Median : 0.045 Median : 0.0050
## Mean :-0.0515 Mean :-0.04425 Mean : 0.035 Mean : 0.1380
## 3rd Qu.: 0.1775 3rd Qu.: 0.25251 3rd Qu.: 0.225 3rd Qu.: 0.4875
## Max. : 1.2800 Max. : 1.46500 Max. : 0.665 Max. : 1.2700
## data.6796 data.6797 data.6798 data.6799
## Min. :-0.95498 Min. :-2.06998 Min. :-0.6950 Min. :-2.3700
## 1st Qu.:-0.34999 1st Qu.:-0.63748 1st Qu.:-0.1825 1st Qu.:-0.8700
## Median : 0.02502 Median : 0.11752 Median : 0.0500 Median : 0.1450
## Mean : 0.05152 Mean : 0.06102 Mean : 0.1450 Mean : 0.3329
## 3rd Qu.: 0.38002 3rd Qu.: 0.62252 3rd Qu.: 0.4325 3rd Qu.: 1.4312
## Max. : 1.16502 Max. : 1.97502 Max. : 1.1600 Max. : 3.3100
## data.6800 data.6801 data.6802 data.6803
## Min. :-1.0900 Min. :-1.295 Min. :-0.84996 Min. :-1.80000
## 1st Qu.:-0.2025 1st Qu.:-0.435 1st Qu.:-0.21748 1st Qu.:-0.25000
## Median : 0.0075 Median : 0.000 Median :-0.01999 Median : 0.02998
## Mean : 0.0160 Mean :-0.046 Mean :-0.01148 Mean :-0.01388
## 3rd Qu.: 0.2475 3rd Qu.: 0.315 3rd Qu.: 0.32252 3rd Qu.: 0.33500
## Max. : 0.7600 Max. : 1.395 Max. : 1.44002 Max. : 1.51000
## data.6804 data.6805 data.6806 data.6807
## Min. :-1.33000 Min. :-1.3000 Min. :-1.10501 Min. :-0.91000
## 1st Qu.:-0.39250 1st Qu.:-0.1600 1st Qu.:-0.19626 1st Qu.:-0.14250
## Median : 0.01000 Median : 0.0950 Median : 0.06999 Median : 0.05502
## Mean :-0.05475 Mean : 0.1397 Mean : 0.15436 Mean : 0.09012
## 3rd Qu.: 0.32500 3rd Qu.: 0.4425 3rd Qu.: 0.55749 3rd Qu.: 0.38000
## Max. : 0.91000 Max. : 1.3700 Max. : 1.24499 Max. : 1.03000
## data.6808 data.6809 data.6810 data.6811
## Min. :-1.100000 Min. :-2.15497 Min. :-0.9050 Min. :-1.160000
## 1st Qu.:-0.260000 1st Qu.:-0.38496 1st Qu.:-0.1250 1st Qu.:-0.374985
## Median : 0.000000 Median : 0.02750 Median : 0.0200 Median : 0.025000
## Mean : 0.009624 Mean :-0.04885 Mean : 0.1139 Mean :-0.000252
## 3rd Qu.: 0.132490 3rd Qu.: 0.23003 3rd Qu.: 0.2375 3rd Qu.: 0.480000
## Max. : 1.470000 Max. : 1.52503 Max. : 1.1250 Max. : 1.515000
## data.6812 data.6813 data.6814 data.6815
## Min. :-1.05002 Min. :-1.34502 Min. :-1.31000 Min. :-0.75000
## 1st Qu.:-0.24750 1st Qu.:-0.30250 1st Qu.:-0.23750 1st Qu.:-0.19000
## Median : 0.16250 Median : 0.17500 Median : 0.03251 Median : 0.03500
## Mean : 0.09925 Mean : 0.04825 Mean : 0.12712 Mean : 0.05337
## 3rd Qu.: 0.45000 3rd Qu.: 0.44750 3rd Qu.: 0.49500 3rd Qu.: 0.32750
## Max. : 1.14000 Max. : 1.07500 Max. : 1.98000 Max. : 0.74000
## data.6816 data.6817 data.6818 data.6819
## Min. :-0.9400 Min. :-2.17500 Min. :-0.70250 Min. :-1.160000
## 1st Qu.:-0.2625 1st Qu.:-0.01875 1st Qu.:-0.38501 1st Qu.:-0.562500
## Median : 0.0500 Median : 0.00000 Median : 0.00000 Median : 0.005000
## Mean : 0.0635 Mean : 0.56500 Mean : 0.04175 Mean :-0.003001
## 3rd Qu.: 0.3225 3rd Qu.: 0.82750 3rd Qu.: 0.40500 3rd Qu.: 0.302500
## Max. : 1.2450 Max. : 4.86500 Max. : 1.29250 Max. : 1.290000
## data.6820 data.6821 data.6822 data.6823
## Min. :-1.79001 Min. :-1.78002 Min. :-0.77500 Min. :-1.1500
## 1st Qu.:-0.28000 1st Qu.:-0.52252 1st Qu.:-0.17750 1st Qu.:-0.4225
## Median : 0.06499 Median : 0.00498 Median : 0.01501 Median : 0.0000
## Mean : 0.26186 Mean : 0.01998 Mean : 0.41162 Mean : 0.2689
## 3rd Qu.: 0.99749 3rd Qu.: 0.52123 3rd Qu.: 0.56000 3rd Qu.: 0.5050
## Max. : 2.13999 Max. : 2.19998 Max. : 3.50000 Max. : 3.0700
## data.6824 data.6825 data.6826 data.6827
## Min. :-0.92500 Min. :-1.15002 Min. :-0.84004 Min. :-1.39001
## 1st Qu.:-0.32875 1st Qu.:-0.28502 1st Qu.:-0.20251 1st Qu.:-0.68001
## Median : 0.06001 Median :-0.07002 Median : 0.00500 Median : 0.00000
## Mean : 0.21375 Mean : 0.07060 Mean : 0.09362 Mean :-0.04575
## 3rd Qu.: 0.49751 3rd Qu.: 0.31498 3rd Qu.: 0.28750 3rd Qu.: 0.00000
## Max. : 2.24500 Max. : 1.69998 Max. : 2.63000 Max. : 3.56999
## data.6828 data.6829 data.6830 labs
## Min. :-1.3900 Min. :-0.9100 Min. :-2.8300 BREAST :7
## 1st Qu.:-0.6500 1st Qu.:-0.3075 1st Qu.:-1.2875 RENAL :9
## Median :-0.0850 Median :-0.0150 Median : 0.0000 MELANOMA:8
## Mean :-0.1349 Mean : 0.1239 Mean : 0.1659 NSCLC :9
## 3rd Qu.: 0.3550 3rd Qu.: 0.3387 3rd Qu.: 1.8550 COLON :7
## Max. : 1.1300 Max. : 2.0300 Max. : 3.9400##################################
# Formulating a data type assessment summary
##################################
PDA <- NCI60
(PDA.Summary <- data.frame(
Column.Index=c(1:length(names(PDA))),
Column.Name= names(PDA),
Column.Type=sapply(PDA, function(x) class(x)),
row.names=NULL)
)## Column.Index Column.Name Column.Type
## 1 1 data.1 numeric
## 2 2 data.2 numeric
## 3 3 data.3 numeric
## 4 4 data.4 numeric
## 5 5 data.5 numeric
## 6 6 data.6 numeric
## 7 7 data.7 numeric
## 8 8 data.8 numeric
## 9 9 data.9 numeric
## 10 10 data.10 numeric
## 11 11 data.11 numeric
## 12 12 data.12 numeric
## 13 13 data.13 numeric
## 14 14 data.14 numeric
## 15 15 data.15 numeric
## 16 16 data.16 numeric
## 17 17 data.17 numeric
## 18 18 data.18 numeric
## 19 19 data.19 numeric
## 20 20 data.20 numeric
## 21 21 data.21 numeric
## 22 22 data.22 numeric
## 23 23 data.23 numeric
## 24 24 data.24 numeric
## 25 25 data.25 numeric
## 26 26 data.26 numeric
## 27 27 data.27 numeric
## 28 28 data.28 numeric
## 29 29 data.29 numeric
## 30 30 data.30 numeric
## 31 31 data.31 numeric
## 32 32 data.32 numeric
## 33 33 data.33 numeric
## 34 34 data.34 numeric
## 35 35 data.35 numeric
## 36 36 data.36 numeric
## 37 37 data.37 numeric
## 38 38 data.38 numeric
## 39 39 data.39 numeric
## 40 40 data.40 numeric
## 41 41 data.41 numeric
## 42 42 data.42 numeric
## 43 43 data.43 numeric
## 44 44 data.44 numeric
## 45 45 data.45 numeric
## 46 46 data.46 numeric
## 47 47 data.47 numeric
## 48 48 data.48 numeric
## 49 49 data.49 numeric
## 50 50 data.50 numeric
## 51 51 data.51 numeric
## 52 52 data.52 numeric
## 53 53 data.53 numeric
## 54 54 data.54 numeric
## 55 55 data.55 numeric
## 56 56 data.56 numeric
## 57 57 data.57 numeric
## 58 58 data.58 numeric
## 59 59 data.59 numeric
## 60 60 data.60 numeric
## 61 61 data.61 numeric
## 62 62 data.62 numeric
## 63 63 data.63 numeric
## 64 64 data.64 numeric
## 65 65 data.65 numeric
## 66 66 data.66 numeric
## 67 67 data.67 numeric
## 68 68 data.68 numeric
## 69 69 data.69 numeric
## 70 70 data.70 numeric
## 71 71 data.71 numeric
## 72 72 data.72 numeric
## 73 73 data.73 numeric
## 74 74 data.74 numeric
## 75 75 data.75 numeric
## 76 76 data.76 numeric
## 77 77 data.77 numeric
## 78 78 data.78 numeric
## 79 79 data.79 numeric
## 80 80 data.80 numeric
## 81 81 data.81 numeric
## 82 82 data.82 numeric
## 83 83 data.83 numeric
## 84 84 data.84 numeric
## 85 85 data.85 numeric
## 86 86 data.86 numeric
## 87 87 data.87 numeric
## 88 88 data.88 numeric
## 89 89 data.89 numeric
## 90 90 data.90 numeric
## 91 91 data.91 numeric
## 92 92 data.92 numeric
## 93 93 data.93 numeric
## 94 94 data.94 numeric
## 95 95 data.95 numeric
## 96 96 data.96 numeric
## 97 97 data.97 numeric
## 98 98 data.98 numeric
## 99 99 data.99 numeric
## 100 100 data.100 numeric
## 101 101 data.101 numeric
## 102 102 data.102 numeric
## 103 103 data.103 numeric
## 104 104 data.104 numeric
## 105 105 data.105 numeric
## 106 106 data.106 numeric
## 107 107 data.107 numeric
## 108 108 data.108 numeric
## 109 109 data.109 numeric
## 110 110 data.110 numeric
## 111 111 data.111 numeric
## 112 112 data.112 numeric
## 113 113 data.113 numeric
## 114 114 data.114 numeric
## 115 115 data.115 numeric
## 116 116 data.116 numeric
## 117 117 data.117 numeric
## 118 118 data.118 numeric
## 119 119 data.119 numeric
## 120 120 data.120 numeric
## 121 121 data.121 numeric
## 122 122 data.122 numeric
## 123 123 data.123 numeric
## 124 124 data.124 numeric
## 125 125 data.125 numeric
## 126 126 data.126 numeric
## 127 127 data.127 numeric
## 128 128 data.128 numeric
## 129 129 data.129 numeric
## 130 130 data.130 numeric
## 131 131 data.131 numeric
## 132 132 data.132 numeric
## 133 133 data.133 numeric
## 134 134 data.134 numeric
## 135 135 data.135 numeric
## 136 136 data.136 numeric
## 137 137 data.137 numeric
## 138 138 data.138 numeric
## 139 139 data.139 numeric
## 140 140 data.140 numeric
## 141 141 data.141 numeric
## 142 142 data.142 numeric
## 143 143 data.143 numeric
## 144 144 data.144 numeric
## 145 145 data.145 numeric
## 146 146 data.146 numeric
## 147 147 data.147 numeric
## 148 148 data.148 numeric
## 149 149 data.149 numeric
## 150 150 data.150 numeric
## 151 151 data.151 numeric
## 152 152 data.152 numeric
## 153 153 data.153 numeric
## 154 154 data.154 numeric
## 155 155 data.155 numeric
## 156 156 data.156 numeric
## 157 157 data.157 numeric
## 158 158 data.158 numeric
## 159 159 data.159 numeric
## 160 160 data.160 numeric
## 161 161 data.161 numeric
## 162 162 data.162 numeric
## 163 163 data.163 numeric
## 164 164 data.164 numeric
## 165 165 data.165 numeric
## 166 166 data.166 numeric
## 167 167 data.167 numeric
## 168 168 data.168 numeric
## 169 169 data.169 numeric
## 170 170 data.170 numeric
## 171 171 data.171 numeric
## 172 172 data.172 numeric
## 173 173 data.173 numeric
## 174 174 data.174 numeric
## 175 175 data.175 numeric
## 176 176 data.176 numeric
## 177 177 data.177 numeric
## 178 178 data.178 numeric
## 179 179 data.179 numeric
## 180 180 data.180 numeric
## 181 181 data.181 numeric
## 182 182 data.182 numeric
## 183 183 data.183 numeric
## 184 184 data.184 numeric
## 185 185 data.185 numeric
## 186 186 data.186 numeric
## 187 187 data.187 numeric
## 188 188 data.188 numeric
## 189 189 data.189 numeric
## 190 190 data.190 numeric
## 191 191 data.191 numeric
## 192 192 data.192 numeric
## 193 193 data.193 numeric
## 194 194 data.194 numeric
## 195 195 data.195 numeric
## 196 196 data.196 numeric
## 197 197 data.197 numeric
## 198 198 data.198 numeric
## 199 199 data.199 numeric
## 200 200 data.200 numeric
## 201 201 data.201 numeric
## 202 202 data.202 numeric
## 203 203 data.203 numeric
## 204 204 data.204 numeric
## 205 205 data.205 numeric
## 206 206 data.206 numeric
## 207 207 data.207 numeric
## 208 208 data.208 numeric
## 209 209 data.209 numeric
## 210 210 data.210 numeric
## 211 211 data.211 numeric
## 212 212 data.212 numeric
## 213 213 data.213 numeric
## 214 214 data.214 numeric
## 215 215 data.215 numeric
## 216 216 data.216 numeric
## 217 217 data.217 numeric
## 218 218 data.218 numeric
## 219 219 data.219 numeric
## 220 220 data.220 numeric
## 221 221 data.221 numeric
## 222 222 data.222 numeric
## 223 223 data.223 numeric
## 224 224 data.224 numeric
## 225 225 data.225 numeric
## 226 226 data.226 numeric
## 227 227 data.227 numeric
## 228 228 data.228 numeric
## 229 229 data.229 numeric
## 230 230 data.230 numeric
## 231 231 data.231 numeric
## 232 232 data.232 numeric
## 233 233 data.233 numeric
## 234 234 data.234 numeric
## 235 235 data.235 numeric
## 236 236 data.236 numeric
## 237 237 data.237 numeric
## 238 238 data.238 numeric
## 239 239 data.239 numeric
## 240 240 data.240 numeric
## 241 241 data.241 numeric
## 242 242 data.242 numeric
## 243 243 data.243 numeric
## 244 244 data.244 numeric
## 245 245 data.245 numeric
## 246 246 data.246 numeric
## 247 247 data.247 numeric
## 248 248 data.248 numeric
## 249 249 data.249 numeric
## 250 250 data.250 numeric
## 251 251 data.251 numeric
## 252 252 data.252 numeric
## 253 253 data.253 numeric
## 254 254 data.254 numeric
## 255 255 data.255 numeric
## 256 256 data.256 numeric
## 257 257 data.257 numeric
## 258 258 data.258 numeric
## 259 259 data.259 numeric
## 260 260 data.260 numeric
## 261 261 data.261 numeric
## 262 262 data.262 numeric
## 263 263 data.263 numeric
## 264 264 data.264 numeric
## 265 265 data.265 numeric
## 266 266 data.266 numeric
## 267 267 data.267 numeric
## 268 268 data.268 numeric
## 269 269 data.269 numeric
## 270 270 data.270 numeric
## 271 271 data.271 numeric
## 272 272 data.272 numeric
## 273 273 data.273 numeric
## 274 274 data.274 numeric
## 275 275 data.275 numeric
## 276 276 data.276 numeric
## 277 277 data.277 numeric
## 278 278 data.278 numeric
## 279 279 data.279 numeric
## 280 280 data.280 numeric
## 281 281 data.281 numeric
## 282 282 data.282 numeric
## 283 283 data.283 numeric
## 284 284 data.284 numeric
## 285 285 data.285 numeric
## 286 286 data.286 numeric
## 287 287 data.287 numeric
## 288 288 data.288 numeric
## 289 289 data.289 numeric
## 290 290 data.290 numeric
## 291 291 data.291 numeric
## 292 292 data.292 numeric
## 293 293 data.293 numeric
## 294 294 data.294 numeric
## 295 295 data.295 numeric
## 296 296 data.296 numeric
## 297 297 data.297 numeric
## 298 298 data.298 numeric
## 299 299 data.299 numeric
## 300 300 data.300 numeric
## 301 301 data.301 numeric
## 302 302 data.302 numeric
## 303 303 data.303 numeric
## 304 304 data.304 numeric
## 305 305 data.305 numeric
## 306 306 data.306 numeric
## 307 307 data.307 numeric
## 308 308 data.308 numeric
## 309 309 data.309 numeric
## 310 310 data.310 numeric
## 311 311 data.311 numeric
## 312 312 data.312 numeric
## 313 313 data.313 numeric
## 314 314 data.314 numeric
## 315 315 data.315 numeric
## 316 316 data.316 numeric
## 317 317 data.317 numeric
## 318 318 data.318 numeric
## 319 319 data.319 numeric
## 320 320 data.320 numeric
## 321 321 data.321 numeric
## 322 322 data.322 numeric
## 323 323 data.323 numeric
## 324 324 data.324 numeric
## 325 325 data.325 numeric
## 326 326 data.326 numeric
## 327 327 data.327 numeric
## 328 328 data.328 numeric
## 329 329 data.329 numeric
## 330 330 data.330 numeric
## 331 331 data.331 numeric
## 332 332 data.332 numeric
## 333 333 data.333 numeric
## 334 334 data.334 numeric
## 335 335 data.335 numeric
## 336 336 data.336 numeric
## 337 337 data.337 numeric
## 338 338 data.338 numeric
## 339 339 data.339 numeric
## 340 340 data.340 numeric
## 341 341 data.341 numeric
## 342 342 data.342 numeric
## 343 343 data.343 numeric
## 344 344 data.344 numeric
## 345 345 data.345 numeric
## 346 346 data.346 numeric
## 347 347 data.347 numeric
## 348 348 data.348 numeric
## 349 349 data.349 numeric
## 350 350 data.350 numeric
## 351 351 data.351 numeric
## 352 352 data.352 numeric
## 353 353 data.353 numeric
## 354 354 data.354 numeric
## 355 355 data.355 numeric
## 356 356 data.356 numeric
## 357 357 data.357 numeric
## 358 358 data.358 numeric
## 359 359 data.359 numeric
## 360 360 data.360 numeric
## 361 361 data.361 numeric
## 362 362 data.362 numeric
## 363 363 data.363 numeric
## 364 364 data.364 numeric
## 365 365 data.365 numeric
## 366 366 data.366 numeric
## 367 367 data.367 numeric
## 368 368 data.368 numeric
## 369 369 data.369 numeric
## 370 370 data.370 numeric
## 371 371 data.371 numeric
## 372 372 data.372 numeric
## 373 373 data.373 numeric
## 374 374 data.374 numeric
## 375 375 data.375 numeric
## 376 376 data.376 numeric
## 377 377 data.377 numeric
## 378 378 data.378 numeric
## 379 379 data.379 numeric
## 380 380 data.380 numeric
## 381 381 data.381 numeric
## 382 382 data.382 numeric
## 383 383 data.383 numeric
## 384 384 data.384 numeric
## 385 385 data.385 numeric
## 386 386 data.386 numeric
## 387 387 data.387 numeric
## 388 388 data.388 numeric
## 389 389 data.389 numeric
## 390 390 data.390 numeric
## 391 391 data.391 numeric
## 392 392 data.392 numeric
## 393 393 data.393 numeric
## 394 394 data.394 numeric
## 395 395 data.395 numeric
## 396 396 data.396 numeric
## 397 397 data.397 numeric
## 398 398 data.398 numeric
## 399 399 data.399 numeric
## 400 400 data.400 numeric
## 401 401 data.401 numeric
## 402 402 data.402 numeric
## 403 403 data.403 numeric
## 404 404 data.404 numeric
## 405 405 data.405 numeric
## 406 406 data.406 numeric
## 407 407 data.407 numeric
## 408 408 data.408 numeric
## 409 409 data.409 numeric
## 410 410 data.410 numeric
## 411 411 data.411 numeric
## 412 412 data.412 numeric
## 413 413 data.413 numeric
## 414 414 data.414 numeric
## 415 415 data.415 numeric
## 416 416 data.416 numeric
## 417 417 data.417 numeric
## 418 418 data.418 numeric
## 419 419 data.419 numeric
## 420 420 data.420 numeric
## 421 421 data.421 numeric
## 422 422 data.422 numeric
## 423 423 data.423 numeric
## 424 424 data.424 numeric
## 425 425 data.425 numeric
## 426 426 data.426 numeric
## 427 427 data.427 numeric
## 428 428 data.428 numeric
## 429 429 data.429 numeric
## 430 430 data.430 numeric
## 431 431 data.431 numeric
## 432 432 data.432 numeric
## 433 433 data.433 numeric
## 434 434 data.434 numeric
## 435 435 data.435 numeric
## 436 436 data.436 numeric
## 437 437 data.437 numeric
## 438 438 data.438 numeric
## 439 439 data.439 numeric
## 440 440 data.440 numeric
## 441 441 data.441 numeric
## 442 442 data.442 numeric
## 443 443 data.443 numeric
## 444 444 data.444 numeric
## 445 445 data.445 numeric
## 446 446 data.446 numeric
## 447 447 data.447 numeric
## 448 448 data.448 numeric
## 449 449 data.449 numeric
## 450 450 data.450 numeric
## 451 451 data.451 numeric
## 452 452 data.452 numeric
## 453 453 data.453 numeric
## 454 454 data.454 numeric
## 455 455 data.455 numeric
## 456 456 data.456 numeric
## 457 457 data.457 numeric
## 458 458 data.458 numeric
## 459 459 data.459 numeric
## 460 460 data.460 numeric
## 461 461 data.461 numeric
## 462 462 data.462 numeric
## 463 463 data.463 numeric
## 464 464 data.464 numeric
## 465 465 data.465 numeric
## 466 466 data.466 numeric
## 467 467 data.467 numeric
## 468 468 data.468 numeric
## 469 469 data.469 numeric
## 470 470 data.470 numeric
## 471 471 data.471 numeric
## 472 472 data.472 numeric
## 473 473 data.473 numeric
## 474 474 data.474 numeric
## 475 475 data.475 numeric
## 476 476 data.476 numeric
## 477 477 data.477 numeric
## 478 478 data.478 numeric
## 479 479 data.479 numeric
## 480 480 data.480 numeric
## 481 481 data.481 numeric
## 482 482 data.482 numeric
## 483 483 data.483 numeric
## 484 484 data.484 numeric
## 485 485 data.485 numeric
## 486 486 data.486 numeric
## 487 487 data.487 numeric
## 488 488 data.488 numeric
## 489 489 data.489 numeric
## 490 490 data.490 numeric
## 491 491 data.491 numeric
## 492 492 data.492 numeric
## 493 493 data.493 numeric
## 494 494 data.494 numeric
## 495 495 data.495 numeric
## 496 496 data.496 numeric
## 497 497 data.497 numeric
## 498 498 data.498 numeric
## 499 499 data.499 numeric
## 500 500 data.500 numeric
## 501 501 data.501 numeric
## 502 502 data.502 numeric
## 503 503 data.503 numeric
## 504 504 data.504 numeric
## 505 505 data.505 numeric
## 506 506 data.506 numeric
## 507 507 data.507 numeric
## 508 508 data.508 numeric
## 509 509 data.509 numeric
## 510 510 data.510 numeric
## 511 511 data.511 numeric
## 512 512 data.512 numeric
## 513 513 data.513 numeric
## 514 514 data.514 numeric
## 515 515 data.515 numeric
## 516 516 data.516 numeric
## 517 517 data.517 numeric
## 518 518 data.518 numeric
## 519 519 data.519 numeric
## 520 520 data.520 numeric
## 521 521 data.521 numeric
## 522 522 data.522 numeric
## 523 523 data.523 numeric
## 524 524 data.524 numeric
## 525 525 data.525 numeric
## 526 526 data.526 numeric
## 527 527 data.527 numeric
## 528 528 data.528 numeric
## 529 529 data.529 numeric
## 530 530 data.530 numeric
## 531 531 data.531 numeric
## 532 532 data.532 numeric
## 533 533 data.533 numeric
## 534 534 data.534 numeric
## 535 535 data.535 numeric
## 536 536 data.536 numeric
## 537 537 data.537 numeric
## 538 538 data.538 numeric
## 539 539 data.539 numeric
## 540 540 data.540 numeric
## 541 541 data.541 numeric
## 542 542 data.542 numeric
## 543 543 data.543 numeric
## 544 544 data.544 numeric
## 545 545 data.545 numeric
## 546 546 data.546 numeric
## 547 547 data.547 numeric
## 548 548 data.548 numeric
## 549 549 data.549 numeric
## 550 550 data.550 numeric
## 551 551 data.551 numeric
## 552 552 data.552 numeric
## 553 553 data.553 numeric
## 554 554 data.554 numeric
## 555 555 data.555 numeric
## 556 556 data.556 numeric
## 557 557 data.557 numeric
## 558 558 data.558 numeric
## 559 559 data.559 numeric
## 560 560 data.560 numeric
## 561 561 data.561 numeric
## 562 562 data.562 numeric
## 563 563 data.563 numeric
## 564 564 data.564 numeric
## 565 565 data.565 numeric
## 566 566 data.566 numeric
## 567 567 data.567 numeric
## 568 568 data.568 numeric
## 569 569 data.569 numeric
## 570 570 data.570 numeric
## 571 571 data.571 numeric
## 572 572 data.572 numeric
## 573 573 data.573 numeric
## 574 574 data.574 numeric
## 575 575 data.575 numeric
## 576 576 data.576 numeric
## 577 577 data.577 numeric
## 578 578 data.578 numeric
## 579 579 data.579 numeric
## 580 580 data.580 numeric
## 581 581 data.581 numeric
## 582 582 data.582 numeric
## 583 583 data.583 numeric
## 584 584 data.584 numeric
## 585 585 data.585 numeric
## 586 586 data.586 numeric
## 587 587 data.587 numeric
## 588 588 data.588 numeric
## 589 589 data.589 numeric
## 590 590 data.590 numeric
## 591 591 data.591 numeric
## 592 592 data.592 numeric
## 593 593 data.593 numeric
## 594 594 data.594 numeric
## 595 595 data.595 numeric
## 596 596 data.596 numeric
## 597 597 data.597 numeric
## 598 598 data.598 numeric
## 599 599 data.599 numeric
## 600 600 data.600 numeric
## 601 601 data.601 numeric
## 602 602 data.602 numeric
## 603 603 data.603 numeric
## 604 604 data.604 numeric
## 605 605 data.605 numeric
## 606 606 data.606 numeric
## 607 607 data.607 numeric
## 608 608 data.608 numeric
## 609 609 data.609 numeric
## 610 610 data.610 numeric
## 611 611 data.611 numeric
## 612 612 data.612 numeric
## 613 613 data.613 numeric
## 614 614 data.614 numeric
## 615 615 data.615 numeric
## 616 616 data.616 numeric
## 617 617 data.617 numeric
## 618 618 data.618 numeric
## 619 619 data.619 numeric
## 620 620 data.620 numeric
## 621 621 data.621 numeric
## 622 622 data.622 numeric
## 623 623 data.623 numeric
## 624 624 data.624 numeric
## 625 625 data.625 numeric
## 626 626 data.626 numeric
## 627 627 data.627 numeric
## 628 628 data.628 numeric
## 629 629 data.629 numeric
## 630 630 data.630 numeric
## 631 631 data.631 numeric
## 632 632 data.632 numeric
## 633 633 data.633 numeric
## 634 634 data.634 numeric
## 635 635 data.635 numeric
## 636 636 data.636 numeric
## 637 637 data.637 numeric
## 638 638 data.638 numeric
## 639 639 data.639 numeric
## 640 640 data.640 numeric
## 641 641 data.641 numeric
## 642 642 data.642 numeric
## 643 643 data.643 numeric
## 644 644 data.644 numeric
## 645 645 data.645 numeric
## 646 646 data.646 numeric
## 647 647 data.647 numeric
## 648 648 data.648 numeric
## 649 649 data.649 numeric
## 650 650 data.650 numeric
## 651 651 data.651 numeric
## 652 652 data.652 numeric
## 653 653 data.653 numeric
## 654 654 data.654 numeric
## 655 655 data.655 numeric
## 656 656 data.656 numeric
## 657 657 data.657 numeric
## 658 658 data.658 numeric
## 659 659 data.659 numeric
## 660 660 data.660 numeric
## 661 661 data.661 numeric
## 662 662 data.662 numeric
## 663 663 data.663 numeric
## 664 664 data.664 numeric
## 665 665 data.665 numeric
## 666 666 data.666 numeric
## 667 667 data.667 numeric
## 668 668 data.668 numeric
## 669 669 data.669 numeric
## 670 670 data.670 numeric
## 671 671 data.671 numeric
## 672 672 data.672 numeric
## 673 673 data.673 numeric
## 674 674 data.674 numeric
## 675 675 data.675 numeric
## 676 676 data.676 numeric
## 677 677 data.677 numeric
## 678 678 data.678 numeric
## 679 679 data.679 numeric
## 680 680 data.680 numeric
## 681 681 data.681 numeric
## 682 682 data.682 numeric
## 683 683 data.683 numeric
## 684 684 data.684 numeric
## 685 685 data.685 numeric
## 686 686 data.686 numeric
## 687 687 data.687 numeric
## 688 688 data.688 numeric
## 689 689 data.689 numeric
## 690 690 data.690 numeric
## 691 691 data.691 numeric
## 692 692 data.692 numeric
## 693 693 data.693 numeric
## 694 694 data.694 numeric
## 695 695 data.695 numeric
## 696 696 data.696 numeric
## 697 697 data.697 numeric
## 698 698 data.698 numeric
## 699 699 data.699 numeric
## 700 700 data.700 numeric
## 701 701 data.701 numeric
## 702 702 data.702 numeric
## 703 703 data.703 numeric
## 704 704 data.704 numeric
## 705 705 data.705 numeric
## 706 706 data.706 numeric
## 707 707 data.707 numeric
## 708 708 data.708 numeric
## 709 709 data.709 numeric
## 710 710 data.710 numeric
## 711 711 data.711 numeric
## 712 712 data.712 numeric
## 713 713 data.713 numeric
## 714 714 data.714 numeric
## 715 715 data.715 numeric
## 716 716 data.716 numeric
## 717 717 data.717 numeric
## 718 718 data.718 numeric
## 719 719 data.719 numeric
## 720 720 data.720 numeric
## 721 721 data.721 numeric
## 722 722 data.722 numeric
## 723 723 data.723 numeric
## 724 724 data.724 numeric
## 725 725 data.725 numeric
## 726 726 data.726 numeric
## 727 727 data.727 numeric
## 728 728 data.728 numeric
## 729 729 data.729 numeric
## 730 730 data.730 numeric
## 731 731 data.731 numeric
## 732 732 data.732 numeric
## 733 733 data.733 numeric
## 734 734 data.734 numeric
## 735 735 data.735 numeric
## 736 736 data.736 numeric
## 737 737 data.737 numeric
## 738 738 data.738 numeric
## 739 739 data.739 numeric
## 740 740 data.740 numeric
## 741 741 data.741 numeric
## 742 742 data.742 numeric
## 743 743 data.743 numeric
## 744 744 data.744 numeric
## 745 745 data.745 numeric
## 746 746 data.746 numeric
## 747 747 data.747 numeric
## 748 748 data.748 numeric
## 749 749 data.749 numeric
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## 6831 6831 labs factor1.2 Data Quality Assessment
[A] No missing observations noted for any variable.
[B] Low variance observed for 610 variables with First.Second.Mode.Ratio>5.
[C] No low variance observed for any variable with Unique.Count.Ratio<0.01.
[D] High skewness observed for 14 variables with Skewness>3 or Skewness<(-3).
[E] Considering the unsupervised learning nature of the analysis, no data pre-processing was proceeded to address the data quality issues identified.
Code Chunk | Output
##################################
# Loading dataset
##################################
DQA <- NCI60
##################################
# Formulating an overall data quality assessment summary
##################################
(DQA.Summary <- data.frame(
Column.Index=c(1:length(names(DQA))),
Column.Name= names(DQA),
Column.Type=sapply(DQA, function(x) class(x)),
Row.Count=sapply(DQA, function(x) nrow(DQA)),
NA.Count=sapply(DQA,function(x)sum(is.na(x))),
Fill.Rate=sapply(DQA,function(x)format(round((sum(!is.na(x))/nrow(DQA)),3),nsmall=3)),
row.names=NULL)
)## Column.Index Column.Name Column.Type Row.Count NA.Count Fill.Rate
## 1 1 data.1 numeric 40 0 1.000
## 2 2 data.2 numeric 40 0 1.000
## 3 3 data.3 numeric 40 0 1.000
## 4 4 data.4 numeric 40 0 1.000
## 5 5 data.5 numeric 40 0 1.000
## 6 6 data.6 numeric 40 0 1.000
## 7 7 data.7 numeric 40 0 1.000
## 8 8 data.8 numeric 40 0 1.000
## 9 9 data.9 numeric 40 0 1.000
## 10 10 data.10 numeric 40 0 1.000
## 11 11 data.11 numeric 40 0 1.000
## 12 12 data.12 numeric 40 0 1.000
## 13 13 data.13 numeric 40 0 1.000
## 14 14 data.14 numeric 40 0 1.000
## 15 15 data.15 numeric 40 0 1.000
## 16 16 data.16 numeric 40 0 1.000
## 17 17 data.17 numeric 40 0 1.000
## 18 18 data.18 numeric 40 0 1.000
## 19 19 data.19 numeric 40 0 1.000
## 20 20 data.20 numeric 40 0 1.000
## 21 21 data.21 numeric 40 0 1.000
## 22 22 data.22 numeric 40 0 1.000
## 23 23 data.23 numeric 40 0 1.000
## 24 24 data.24 numeric 40 0 1.000
## 25 25 data.25 numeric 40 0 1.000
## 26 26 data.26 numeric 40 0 1.000
## 27 27 data.27 numeric 40 0 1.000
## 28 28 data.28 numeric 40 0 1.000
## 29 29 data.29 numeric 40 0 1.000
## 30 30 data.30 numeric 40 0 1.000
## 31 31 data.31 numeric 40 0 1.000
## 32 32 data.32 numeric 40 0 1.000
## 33 33 data.33 numeric 40 0 1.000
## 34 34 data.34 numeric 40 0 1.000
## 35 35 data.35 numeric 40 0 1.000
## 36 36 data.36 numeric 40 0 1.000
## 37 37 data.37 numeric 40 0 1.000
## 38 38 data.38 numeric 40 0 1.000
## 39 39 data.39 numeric 40 0 1.000
## 40 40 data.40 numeric 40 0 1.000
## 41 41 data.41 numeric 40 0 1.000
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## 43 43 data.43 numeric 40 0 1.000
## 44 44 data.44 numeric 40 0 1.000
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## 52 52 data.52 numeric 40 0 1.000
## 53 53 data.53 numeric 40 0 1.000
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## 1614 1614 data.1614 numeric 40 0 1.000
## 1615 1615 data.1615 numeric 40 0 1.000
## 1616 1616 data.1616 numeric 40 0 1.000
## 1617 1617 data.1617 numeric 40 0 1.000
## 1618 1618 data.1618 numeric 40 0 1.000
## 1619 1619 data.1619 numeric 40 0 1.000
## 1620 1620 data.1620 numeric 40 0 1.000
## 1621 1621 data.1621 numeric 40 0 1.000
## 1622 1622 data.1622 numeric 40 0 1.000
## 1623 1623 data.1623 numeric 40 0 1.000
## 1624 1624 data.1624 numeric 40 0 1.000
## 1625 1625 data.1625 numeric 40 0 1.000
## 1626 1626 data.1626 numeric 40 0 1.000
## 1627 1627 data.1627 numeric 40 0 1.000
## 1628 1628 data.1628 numeric 40 0 1.000
## 1629 1629 data.1629 numeric 40 0 1.000
## 1630 1630 data.1630 numeric 40 0 1.000
## 1631 1631 data.1631 numeric 40 0 1.000
## 1632 1632 data.1632 numeric 40 0 1.000
## 1633 1633 data.1633 numeric 40 0 1.000
## 1634 1634 data.1634 numeric 40 0 1.000
## 1635 1635 data.1635 numeric 40 0 1.000
## 1636 1636 data.1636 numeric 40 0 1.000
## 1637 1637 data.1637 numeric 40 0 1.000
## 1638 1638 data.1638 numeric 40 0 1.000
## 1639 1639 data.1639 numeric 40 0 1.000
## 1640 1640 data.1640 numeric 40 0 1.000
## 1641 1641 data.1641 numeric 40 0 1.000
## 1642 1642 data.1642 numeric 40 0 1.000
## 1643 1643 data.1643 numeric 40 0 1.000
## 1644 1644 data.1644 numeric 40 0 1.000
## 1645 1645 data.1645 numeric 40 0 1.000
## 1646 1646 data.1646 numeric 40 0 1.000
## 1647 1647 data.1647 numeric 40 0 1.000
## 1648 1648 data.1648 numeric 40 0 1.000
## 1649 1649 data.1649 numeric 40 0 1.000
## 1650 1650 data.1650 numeric 40 0 1.000
## 1651 1651 data.1651 numeric 40 0 1.000
## 1652 1652 data.1652 numeric 40 0 1.000
## 1653 1653 data.1653 numeric 40 0 1.000
## 1654 1654 data.1654 numeric 40 0 1.000
## 1655 1655 data.1655 numeric 40 0 1.000
## 1656 1656 data.1656 numeric 40 0 1.000
## 1657 1657 data.1657 numeric 40 0 1.000
## 1658 1658 data.1658 numeric 40 0 1.000
## 1659 1659 data.1659 numeric 40 0 1.000
## 1660 1660 data.1660 numeric 40 0 1.000
## 1661 1661 data.1661 numeric 40 0 1.000
## 1662 1662 data.1662 numeric 40 0 1.000
## 1663 1663 data.1663 numeric 40 0 1.000
## 1664 1664 data.1664 numeric 40 0 1.000
## 1665 1665 data.1665 numeric 40 0 1.000
## 1666 1666 data.1666 numeric 40 0 1.000
## 1667 1667 data.1667 numeric 40 0 1.000
## 1668 1668 data.1668 numeric 40 0 1.000
## 1669 1669 data.1669 numeric 40 0 1.000
## 1670 1670 data.1670 numeric 40 0 1.000
## 1671 1671 data.1671 numeric 40 0 1.000
## 1672 1672 data.1672 numeric 40 0 1.000
## 1673 1673 data.1673 numeric 40 0 1.000
## 1674 1674 data.1674 numeric 40 0 1.000
## 1675 1675 data.1675 numeric 40 0 1.000
## 1676 1676 data.1676 numeric 40 0 1.000
## 1677 1677 data.1677 numeric 40 0 1.000
## 1678 1678 data.1678 numeric 40 0 1.000
## 1679 1679 data.1679 numeric 40 0 1.000
## 1680 1680 data.1680 numeric 40 0 1.000
## 1681 1681 data.1681 numeric 40 0 1.000
## 1682 1682 data.1682 numeric 40 0 1.000
## 1683 1683 data.1683 numeric 40 0 1.000
## 1684 1684 data.1684 numeric 40 0 1.000
## 1685 1685 data.1685 numeric 40 0 1.000
## 1686 1686 data.1686 numeric 40 0 1.000
## 1687 1687 data.1687 numeric 40 0 1.000
## 1688 1688 data.1688 numeric 40 0 1.000
## 1689 1689 data.1689 numeric 40 0 1.000
## 1690 1690 data.1690 numeric 40 0 1.000
## 1691 1691 data.1691 numeric 40 0 1.000
## 1692 1692 data.1692 numeric 40 0 1.000
## 1693 1693 data.1693 numeric 40 0 1.000
## 1694 1694 data.1694 numeric 40 0 1.000
## 1695 1695 data.1695 numeric 40 0 1.000
## 1696 1696 data.1696 numeric 40 0 1.000
## 1697 1697 data.1697 numeric 40 0 1.000
## 1698 1698 data.1698 numeric 40 0 1.000
## 1699 1699 data.1699 numeric 40 0 1.000
## 1700 1700 data.1700 numeric 40 0 1.000
## 1701 1701 data.1701 numeric 40 0 1.000
## 1702 1702 data.1702 numeric 40 0 1.000
## 1703 1703 data.1703 numeric 40 0 1.000
## 1704 1704 data.1704 numeric 40 0 1.000
## 1705 1705 data.1705 numeric 40 0 1.000
## 1706 1706 data.1706 numeric 40 0 1.000
## 1707 1707 data.1707 numeric 40 0 1.000
## 1708 1708 data.1708 numeric 40 0 1.000
## 1709 1709 data.1709 numeric 40 0 1.000
## 1710 1710 data.1710 numeric 40 0 1.000
## 1711 1711 data.1711 numeric 40 0 1.000
## 1712 1712 data.1712 numeric 40 0 1.000
## 1713 1713 data.1713 numeric 40 0 1.000
## 1714 1714 data.1714 numeric 40 0 1.000
## 1715 1715 data.1715 numeric 40 0 1.000
## 1716 1716 data.1716 numeric 40 0 1.000
## 1717 1717 data.1717 numeric 40 0 1.000
## 1718 1718 data.1718 numeric 40 0 1.000
## 1719 1719 data.1719 numeric 40 0 1.000
## 1720 1720 data.1720 numeric 40 0 1.000
## 1721 1721 data.1721 numeric 40 0 1.000
## 1722 1722 data.1722 numeric 40 0 1.000
## 1723 1723 data.1723 numeric 40 0 1.000
## 1724 1724 data.1724 numeric 40 0 1.000
## 1725 1725 data.1725 numeric 40 0 1.000
## 1726 1726 data.1726 numeric 40 0 1.000
## 1727 1727 data.1727 numeric 40 0 1.000
## 1728 1728 data.1728 numeric 40 0 1.000
## 1729 1729 data.1729 numeric 40 0 1.000
## 1730 1730 data.1730 numeric 40 0 1.000
## 1731 1731 data.1731 numeric 40 0 1.000
## 1732 1732 data.1732 numeric 40 0 1.000
## 1733 1733 data.1733 numeric 40 0 1.000
## 1734 1734 data.1734 numeric 40 0 1.000
## 1735 1735 data.1735 numeric 40 0 1.000
## 1736 1736 data.1736 numeric 40 0 1.000
## 1737 1737 data.1737 numeric 40 0 1.000
## 1738 1738 data.1738 numeric 40 0 1.000
## 1739 1739 data.1739 numeric 40 0 1.000
## 1740 1740 data.1740 numeric 40 0 1.000
## 1741 1741 data.1741 numeric 40 0 1.000
## 1742 1742 data.1742 numeric 40 0 1.000
## 1743 1743 data.1743 numeric 40 0 1.000
## 1744 1744 data.1744 numeric 40 0 1.000
## 1745 1745 data.1745 numeric 40 0 1.000
## 1746 1746 data.1746 numeric 40 0 1.000
## 1747 1747 data.1747 numeric 40 0 1.000
## 1748 1748 data.1748 numeric 40 0 1.000
## 1749 1749 data.1749 numeric 40 0 1.000
## 1750 1750 data.1750 numeric 40 0 1.000
## 1751 1751 data.1751 numeric 40 0 1.000
## 1752 1752 data.1752 numeric 40 0 1.000
## 1753 1753 data.1753 numeric 40 0 1.000
## 1754 1754 data.1754 numeric 40 0 1.000
## 1755 1755 data.1755 numeric 40 0 1.000
## 1756 1756 data.1756 numeric 40 0 1.000
## 1757 1757 data.1757 numeric 40 0 1.000
## 1758 1758 data.1758 numeric 40 0 1.000
## 1759 1759 data.1759 numeric 40 0 1.000
## 1760 1760 data.1760 numeric 40 0 1.000
## 1761 1761 data.1761 numeric 40 0 1.000
## 1762 1762 data.1762 numeric 40 0 1.000
## 1763 1763 data.1763 numeric 40 0 1.000
## 1764 1764 data.1764 numeric 40 0 1.000
## 1765 1765 data.1765 numeric 40 0 1.000
## 1766 1766 data.1766 numeric 40 0 1.000
## 1767 1767 data.1767 numeric 40 0 1.000
## 1768 1768 data.1768 numeric 40 0 1.000
## 1769 1769 data.1769 numeric 40 0 1.000
## 1770 1770 data.1770 numeric 40 0 1.000
## 1771 1771 data.1771 numeric 40 0 1.000
## 1772 1772 data.1772 numeric 40 0 1.000
## 1773 1773 data.1773 numeric 40 0 1.000
## 1774 1774 data.1774 numeric 40 0 1.000
## 1775 1775 data.1775 numeric 40 0 1.000
## 1776 1776 data.1776 numeric 40 0 1.000
## 1777 1777 data.1777 numeric 40 0 1.000
## 1778 1778 data.1778 numeric 40 0 1.000
## 1779 1779 data.1779 numeric 40 0 1.000
## 1780 1780 data.1780 numeric 40 0 1.000
## 1781 1781 data.1781 numeric 40 0 1.000
## 1782 1782 data.1782 numeric 40 0 1.000
## 1783 1783 data.1783 numeric 40 0 1.000
## 1784 1784 data.1784 numeric 40 0 1.000
## 1785 1785 data.1785 numeric 40 0 1.000
## 1786 1786 data.1786 numeric 40 0 1.000
## 1787 1787 data.1787 numeric 40 0 1.000
## 1788 1788 data.1788 numeric 40 0 1.000
## 1789 1789 data.1789 numeric 40 0 1.000
## 1790 1790 data.1790 numeric 40 0 1.000
## 1791 1791 data.1791 numeric 40 0 1.000
## 1792 1792 data.1792 numeric 40 0 1.000
## 1793 1793 data.1793 numeric 40 0 1.000
## 1794 1794 data.1794 numeric 40 0 1.000
## 1795 1795 data.1795 numeric 40 0 1.000
## 1796 1796 data.1796 numeric 40 0 1.000
## 1797 1797 data.1797 numeric 40 0 1.000
## 1798 1798 data.1798 numeric 40 0 1.000
## 1799 1799 data.1799 numeric 40 0 1.000
## 1800 1800 data.1800 numeric 40 0 1.000
## 1801 1801 data.1801 numeric 40 0 1.000
## 1802 1802 data.1802 numeric 40 0 1.000
## 1803 1803 data.1803 numeric 40 0 1.000
## 1804 1804 data.1804 numeric 40 0 1.000
## 1805 1805 data.1805 numeric 40 0 1.000
## 1806 1806 data.1806 numeric 40 0 1.000
## 1807 1807 data.1807 numeric 40 0 1.000
## 1808 1808 data.1808 numeric 40 0 1.000
## 1809 1809 data.1809 numeric 40 0 1.000
## 1810 1810 data.1810 numeric 40 0 1.000
## 1811 1811 data.1811 numeric 40 0 1.000
## 1812 1812 data.1812 numeric 40 0 1.000
## 1813 1813 data.1813 numeric 40 0 1.000
## 1814 1814 data.1814 numeric 40 0 1.000
## 1815 1815 data.1815 numeric 40 0 1.000
## 1816 1816 data.1816 numeric 40 0 1.000
## 1817 1817 data.1817 numeric 40 0 1.000
## 1818 1818 data.1818 numeric 40 0 1.000
## 1819 1819 data.1819 numeric 40 0 1.000
## 1820 1820 data.1820 numeric 40 0 1.000
## 1821 1821 data.1821 numeric 40 0 1.000
## 1822 1822 data.1822 numeric 40 0 1.000
## 1823 1823 data.1823 numeric 40 0 1.000
## 1824 1824 data.1824 numeric 40 0 1.000
## 1825 1825 data.1825 numeric 40 0 1.000
## 1826 1826 data.1826 numeric 40 0 1.000
## 1827 1827 data.1827 numeric 40 0 1.000
## 1828 1828 data.1828 numeric 40 0 1.000
## 1829 1829 data.1829 numeric 40 0 1.000
## 1830 1830 data.1830 numeric 40 0 1.000
## 1831 1831 data.1831 numeric 40 0 1.000
## 1832 1832 data.1832 numeric 40 0 1.000
## 1833 1833 data.1833 numeric 40 0 1.000
## 1834 1834 data.1834 numeric 40 0 1.000
## 1835 1835 data.1835 numeric 40 0 1.000
## 1836 1836 data.1836 numeric 40 0 1.000
## 1837 1837 data.1837 numeric 40 0 1.000
## 1838 1838 data.1838 numeric 40 0 1.000
## 1839 1839 data.1839 numeric 40 0 1.000
## 1840 1840 data.1840 numeric 40 0 1.000
## 1841 1841 data.1841 numeric 40 0 1.000
## 1842 1842 data.1842 numeric 40 0 1.000
## 1843 1843 data.1843 numeric 40 0 1.000
## 1844 1844 data.1844 numeric 40 0 1.000
## 1845 1845 data.1845 numeric 40 0 1.000
## 1846 1846 data.1846 numeric 40 0 1.000
## 1847 1847 data.1847 numeric 40 0 1.000
## 1848 1848 data.1848 numeric 40 0 1.000
## 1849 1849 data.1849 numeric 40 0 1.000
## 1850 1850 data.1850 numeric 40 0 1.000
## 1851 1851 data.1851 numeric 40 0 1.000
## 1852 1852 data.1852 numeric 40 0 1.000
## 1853 1853 data.1853 numeric 40 0 1.000
## 1854 1854 data.1854 numeric 40 0 1.000
## 1855 1855 data.1855 numeric 40 0 1.000
## 1856 1856 data.1856 numeric 40 0 1.000
## 1857 1857 data.1857 numeric 40 0 1.000
## 1858 1858 data.1858 numeric 40 0 1.000
## 1859 1859 data.1859 numeric 40 0 1.000
## 1860 1860 data.1860 numeric 40 0 1.000
## 1861 1861 data.1861 numeric 40 0 1.000
## 1862 1862 data.1862 numeric 40 0 1.000
## 1863 1863 data.1863 numeric 40 0 1.000
## 1864 1864 data.1864 numeric 40 0 1.000
## 1865 1865 data.1865 numeric 40 0 1.000
## 1866 1866 data.1866 numeric 40 0 1.000
## 1867 1867 data.1867 numeric 40 0 1.000
## 1868 1868 data.1868 numeric 40 0 1.000
## 1869 1869 data.1869 numeric 40 0 1.000
## 1870 1870 data.1870 numeric 40 0 1.000
## 1871 1871 data.1871 numeric 40 0 1.000
## 1872 1872 data.1872 numeric 40 0 1.000
## 1873 1873 data.1873 numeric 40 0 1.000
## 1874 1874 data.1874 numeric 40 0 1.000
## 1875 1875 data.1875 numeric 40 0 1.000
## 1876 1876 data.1876 numeric 40 0 1.000
## 1877 1877 data.1877 numeric 40 0 1.000
## 1878 1878 data.1878 numeric 40 0 1.000
## 1879 1879 data.1879 numeric 40 0 1.000
## 1880 1880 data.1880 numeric 40 0 1.000
## 1881 1881 data.1881 numeric 40 0 1.000
## 1882 1882 data.1882 numeric 40 0 1.000
## 1883 1883 data.1883 numeric 40 0 1.000
## 1884 1884 data.1884 numeric 40 0 1.000
## 1885 1885 data.1885 numeric 40 0 1.000
## 1886 1886 data.1886 numeric 40 0 1.000
## 1887 1887 data.1887 numeric 40 0 1.000
## 1888 1888 data.1888 numeric 40 0 1.000
## 1889 1889 data.1889 numeric 40 0 1.000
## 1890 1890 data.1890 numeric 40 0 1.000
## 1891 1891 data.1891 numeric 40 0 1.000
## 1892 1892 data.1892 numeric 40 0 1.000
## 1893 1893 data.1893 numeric 40 0 1.000
## 1894 1894 data.1894 numeric 40 0 1.000
## 1895 1895 data.1895 numeric 40 0 1.000
## 1896 1896 data.1896 numeric 40 0 1.000
## 1897 1897 data.1897 numeric 40 0 1.000
## 1898 1898 data.1898 numeric 40 0 1.000
## 1899 1899 data.1899 numeric 40 0 1.000
## 1900 1900 data.1900 numeric 40 0 1.000
## 1901 1901 data.1901 numeric 40 0 1.000
## 1902 1902 data.1902 numeric 40 0 1.000
## 1903 1903 data.1903 numeric 40 0 1.000
## 1904 1904 data.1904 numeric 40 0 1.000
## 1905 1905 data.1905 numeric 40 0 1.000
## 1906 1906 data.1906 numeric 40 0 1.000
## 1907 1907 data.1907 numeric 40 0 1.000
## 1908 1908 data.1908 numeric 40 0 1.000
## 1909 1909 data.1909 numeric 40 0 1.000
## 1910 1910 data.1910 numeric 40 0 1.000
## 1911 1911 data.1911 numeric 40 0 1.000
## 1912 1912 data.1912 numeric 40 0 1.000
## 1913 1913 data.1913 numeric 40 0 1.000
## 1914 1914 data.1914 numeric 40 0 1.000
## 1915 1915 data.1915 numeric 40 0 1.000
## 1916 1916 data.1916 numeric 40 0 1.000
## 1917 1917 data.1917 numeric 40 0 1.000
## 1918 1918 data.1918 numeric 40 0 1.000
## 1919 1919 data.1919 numeric 40 0 1.000
## 1920 1920 data.1920 numeric 40 0 1.000
## 1921 1921 data.1921 numeric 40 0 1.000
## 1922 1922 data.1922 numeric 40 0 1.000
## 1923 1923 data.1923 numeric 40 0 1.000
## 1924 1924 data.1924 numeric 40 0 1.000
## 1925 1925 data.1925 numeric 40 0 1.000
## 1926 1926 data.1926 numeric 40 0 1.000
## 1927 1927 data.1927 numeric 40 0 1.000
## 1928 1928 data.1928 numeric 40 0 1.000
## 1929 1929 data.1929 numeric 40 0 1.000
## 1930 1930 data.1930 numeric 40 0 1.000
## 1931 1931 data.1931 numeric 40 0 1.000
## 1932 1932 data.1932 numeric 40 0 1.000
## 1933 1933 data.1933 numeric 40 0 1.000
## 1934 1934 data.1934 numeric 40 0 1.000
## 1935 1935 data.1935 numeric 40 0 1.000
## 1936 1936 data.1936 numeric 40 0 1.000
## 1937 1937 data.1937 numeric 40 0 1.000
## 1938 1938 data.1938 numeric 40 0 1.000
## 1939 1939 data.1939 numeric 40 0 1.000
## 1940 1940 data.1940 numeric 40 0 1.000
## 1941 1941 data.1941 numeric 40 0 1.000
## 1942 1942 data.1942 numeric 40 0 1.000
## 1943 1943 data.1943 numeric 40 0 1.000
## 1944 1944 data.1944 numeric 40 0 1.000
## 1945 1945 data.1945 numeric 40 0 1.000
## 1946 1946 data.1946 numeric 40 0 1.000
## 1947 1947 data.1947 numeric 40 0 1.000
## 1948 1948 data.1948 numeric 40 0 1.000
## 1949 1949 data.1949 numeric 40 0 1.000
## 1950 1950 data.1950 numeric 40 0 1.000
## 1951 1951 data.1951 numeric 40 0 1.000
## 1952 1952 data.1952 numeric 40 0 1.000
## 1953 1953 data.1953 numeric 40 0 1.000
## 1954 1954 data.1954 numeric 40 0 1.000
## 1955 1955 data.1955 numeric 40 0 1.000
## 1956 1956 data.1956 numeric 40 0 1.000
## 1957 1957 data.1957 numeric 40 0 1.000
## 1958 1958 data.1958 numeric 40 0 1.000
## 1959 1959 data.1959 numeric 40 0 1.000
## 1960 1960 data.1960 numeric 40 0 1.000
## 1961 1961 data.1961 numeric 40 0 1.000
## 1962 1962 data.1962 numeric 40 0 1.000
## 1963 1963 data.1963 numeric 40 0 1.000
## 1964 1964 data.1964 numeric 40 0 1.000
## 1965 1965 data.1965 numeric 40 0 1.000
## 1966 1966 data.1966 numeric 40 0 1.000
## 1967 1967 data.1967 numeric 40 0 1.000
## 1968 1968 data.1968 numeric 40 0 1.000
## 1969 1969 data.1969 numeric 40 0 1.000
## 1970 1970 data.1970 numeric 40 0 1.000
## 1971 1971 data.1971 numeric 40 0 1.000
## 1972 1972 data.1972 numeric 40 0 1.000
## 1973 1973 data.1973 numeric 40 0 1.000
## 1974 1974 data.1974 numeric 40 0 1.000
## 1975 1975 data.1975 numeric 40 0 1.000
## 1976 1976 data.1976 numeric 40 0 1.000
## 1977 1977 data.1977 numeric 40 0 1.000
## 1978 1978 data.1978 numeric 40 0 1.000
## 1979 1979 data.1979 numeric 40 0 1.000
## 1980 1980 data.1980 numeric 40 0 1.000
## 1981 1981 data.1981 numeric 40 0 1.000
## 1982 1982 data.1982 numeric 40 0 1.000
## 1983 1983 data.1983 numeric 40 0 1.000
## 1984 1984 data.1984 numeric 40 0 1.000
## 1985 1985 data.1985 numeric 40 0 1.000
## 1986 1986 data.1986 numeric 40 0 1.000
## 1987 1987 data.1987 numeric 40 0 1.000
## 1988 1988 data.1988 numeric 40 0 1.000
## 1989 1989 data.1989 numeric 40 0 1.000
## 1990 1990 data.1990 numeric 40 0 1.000
## 1991 1991 data.1991 numeric 40 0 1.000
## 1992 1992 data.1992 numeric 40 0 1.000
## 1993 1993 data.1993 numeric 40 0 1.000
## 1994 1994 data.1994 numeric 40 0 1.000
## 1995 1995 data.1995 numeric 40 0 1.000
## 1996 1996 data.1996 numeric 40 0 1.000
## 1997 1997 data.1997 numeric 40 0 1.000
## 1998 1998 data.1998 numeric 40 0 1.000
## 1999 1999 data.1999 numeric 40 0 1.000
## 2000 2000 data.2000 numeric 40 0 1.000
## 2001 2001 data.2001 numeric 40 0 1.000
## 2002 2002 data.2002 numeric 40 0 1.000
## 2003 2003 data.2003 numeric 40 0 1.000
## 2004 2004 data.2004 numeric 40 0 1.000
## 2005 2005 data.2005 numeric 40 0 1.000
## 2006 2006 data.2006 numeric 40 0 1.000
## 2007 2007 data.2007 numeric 40 0 1.000
## 2008 2008 data.2008 numeric 40 0 1.000
## 2009 2009 data.2009 numeric 40 0 1.000
## 2010 2010 data.2010 numeric 40 0 1.000
## 2011 2011 data.2011 numeric 40 0 1.000
## 2012 2012 data.2012 numeric 40 0 1.000
## 2013 2013 data.2013 numeric 40 0 1.000
## 2014 2014 data.2014 numeric 40 0 1.000
## 2015 2015 data.2015 numeric 40 0 1.000
## 2016 2016 data.2016 numeric 40 0 1.000
## 2017 2017 data.2017 numeric 40 0 1.000
## 2018 2018 data.2018 numeric 40 0 1.000
## 2019 2019 data.2019 numeric 40 0 1.000
## 2020 2020 data.2020 numeric 40 0 1.000
## 2021 2021 data.2021 numeric 40 0 1.000
## 2022 2022 data.2022 numeric 40 0 1.000
## 2023 2023 data.2023 numeric 40 0 1.000
## 2024 2024 data.2024 numeric 40 0 1.000
## 2025 2025 data.2025 numeric 40 0 1.000
## 2026 2026 data.2026 numeric 40 0 1.000
## 2027 2027 data.2027 numeric 40 0 1.000
## 2028 2028 data.2028 numeric 40 0 1.000
## 2029 2029 data.2029 numeric 40 0 1.000
## 2030 2030 data.2030 numeric 40 0 1.000
## 2031 2031 data.2031 numeric 40 0 1.000
## 2032 2032 data.2032 numeric 40 0 1.000
## 2033 2033 data.2033 numeric 40 0 1.000
## 2034 2034 data.2034 numeric 40 0 1.000
## 2035 2035 data.2035 numeric 40 0 1.000
## 2036 2036 data.2036 numeric 40 0 1.000
## 2037 2037 data.2037 numeric 40 0 1.000
## 2038 2038 data.2038 numeric 40 0 1.000
## 2039 2039 data.2039 numeric 40 0 1.000
## 2040 2040 data.2040 numeric 40 0 1.000
## 2041 2041 data.2041 numeric 40 0 1.000
## 2042 2042 data.2042 numeric 40 0 1.000
## 2043 2043 data.2043 numeric 40 0 1.000
## 2044 2044 data.2044 numeric 40 0 1.000
## 2045 2045 data.2045 numeric 40 0 1.000
## 2046 2046 data.2046 numeric 40 0 1.000
## 2047 2047 data.2047 numeric 40 0 1.000
## 2048 2048 data.2048 numeric 40 0 1.000
## 2049 2049 data.2049 numeric 40 0 1.000
## 2050 2050 data.2050 numeric 40 0 1.000
## 2051 2051 data.2051 numeric 40 0 1.000
## 2052 2052 data.2052 numeric 40 0 1.000
## 2053 2053 data.2053 numeric 40 0 1.000
## 2054 2054 data.2054 numeric 40 0 1.000
## 2055 2055 data.2055 numeric 40 0 1.000
## 2056 2056 data.2056 numeric 40 0 1.000
## 2057 2057 data.2057 numeric 40 0 1.000
## 2058 2058 data.2058 numeric 40 0 1.000
## 2059 2059 data.2059 numeric 40 0 1.000
## 2060 2060 data.2060 numeric 40 0 1.000
## 2061 2061 data.2061 numeric 40 0 1.000
## 2062 2062 data.2062 numeric 40 0 1.000
## 2063 2063 data.2063 numeric 40 0 1.000
## 2064 2064 data.2064 numeric 40 0 1.000
## 2065 2065 data.2065 numeric 40 0 1.000
## 2066 2066 data.2066 numeric 40 0 1.000
## 2067 2067 data.2067 numeric 40 0 1.000
## 2068 2068 data.2068 numeric 40 0 1.000
## 2069 2069 data.2069 numeric 40 0 1.000
## 2070 2070 data.2070 numeric 40 0 1.000
## 2071 2071 data.2071 numeric 40 0 1.000
## 2072 2072 data.2072 numeric 40 0 1.000
## 2073 2073 data.2073 numeric 40 0 1.000
## 2074 2074 data.2074 numeric 40 0 1.000
## 2075 2075 data.2075 numeric 40 0 1.000
## 2076 2076 data.2076 numeric 40 0 1.000
## 2077 2077 data.2077 numeric 40 0 1.000
## 2078 2078 data.2078 numeric 40 0 1.000
## 2079 2079 data.2079 numeric 40 0 1.000
## 2080 2080 data.2080 numeric 40 0 1.000
## 2081 2081 data.2081 numeric 40 0 1.000
## 2082 2082 data.2082 numeric 40 0 1.000
## 2083 2083 data.2083 numeric 40 0 1.000
## 2084 2084 data.2084 numeric 40 0 1.000
## 2085 2085 data.2085 numeric 40 0 1.000
## 2086 2086 data.2086 numeric 40 0 1.000
## 2087 2087 data.2087 numeric 40 0 1.000
## 2088 2088 data.2088 numeric 40 0 1.000
## 2089 2089 data.2089 numeric 40 0 1.000
## 2090 2090 data.2090 numeric 40 0 1.000
## 2091 2091 data.2091 numeric 40 0 1.000
## 2092 2092 data.2092 numeric 40 0 1.000
## 2093 2093 data.2093 numeric 40 0 1.000
## 2094 2094 data.2094 numeric 40 0 1.000
## 2095 2095 data.2095 numeric 40 0 1.000
## 2096 2096 data.2096 numeric 40 0 1.000
## 2097 2097 data.2097 numeric 40 0 1.000
## 2098 2098 data.2098 numeric 40 0 1.000
## 2099 2099 data.2099 numeric 40 0 1.000
## 2100 2100 data.2100 numeric 40 0 1.000
## 2101 2101 data.2101 numeric 40 0 1.000
## 2102 2102 data.2102 numeric 40 0 1.000
## 2103 2103 data.2103 numeric 40 0 1.000
## 2104 2104 data.2104 numeric 40 0 1.000
## 2105 2105 data.2105 numeric 40 0 1.000
## 2106 2106 data.2106 numeric 40 0 1.000
## 2107 2107 data.2107 numeric 40 0 1.000
## 2108 2108 data.2108 numeric 40 0 1.000
## 2109 2109 data.2109 numeric 40 0 1.000
## 2110 2110 data.2110 numeric 40 0 1.000
## 2111 2111 data.2111 numeric 40 0 1.000
## 2112 2112 data.2112 numeric 40 0 1.000
## 2113 2113 data.2113 numeric 40 0 1.000
## 2114 2114 data.2114 numeric 40 0 1.000
## 2115 2115 data.2115 numeric 40 0 1.000
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## 6830 6830 data.6830 numeric 40 0 1.000
## 6831 6831 labs factor 40 0 1.000##################################
# Listing all descriptors
##################################
DQA.Descriptors <- DQA
##################################
# Listing all numeric Descriptors
##################################
DQA.Descriptors.Numeric <- DQA.Descriptors[,sapply(DQA.Descriptors, is.numeric)]
if (length(names(DQA.Descriptors.Numeric))>0) {
print(paste0("There are ",
(length(names(DQA.Descriptors.Numeric))),
" numeric descriptor variable(s)."))
} else {
print("There are no numeric descriptor variables.")
}## [1] "There are 6830 numeric descriptor variable(s)."##################################
# Listing all factor Descriptors
##################################
DQA.Descriptors.Factor <- DQA.Descriptors[,sapply(DQA.Descriptors, is.factor)]
if (length(names(DQA.Descriptors.Factor))>0) {
print(paste0("There are ",
(length(names(DQA.Descriptors.Factor))),
" factor descriptor variable(s)."))
} else {
print("There are no factor descriptor variables.")
}## [1] "There are no factor descriptor variables."##################################
# Formulating a data quality assessment summary for factor Descriptors
##################################
if (length(names(DQA.Descriptors.Factor))>0) {
##################################
# Formulating a function to determine the first mode
##################################
FirstModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
ux[tab == max(tab)]
}
##################################
# Formulating a function to determine the second mode
##################################
SecondModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
fm = ux[tab == max(tab)]
sm = x[!(x %in% fm)]
usm <- unique(sm)
tabsm <- tabulate(match(sm, usm))
ifelse(is.na(usm[tabsm == max(tabsm)])==TRUE,
return("x"),
return(usm[tabsm == max(tabsm)]))
}
(DQA.Descriptors.Factor.Summary <- data.frame(
Column.Name= names(DQA.Descriptors.Factor),
Column.Type=sapply(DQA.Descriptors.Factor, function(x) class(x)),
Unique.Count=sapply(DQA.Descriptors.Factor, function(x) length(unique(x))),
First.Mode.Value=sapply(DQA.Descriptors.Factor, function(x) as.character(FirstModes(x)[1])),
Second.Mode.Value=sapply(DQA.Descriptors.Factor, function(x) as.character(SecondModes(x)[1])),
First.Mode.Count=sapply(DQA.Descriptors.Factor, function(x) sum(na.omit(x) == FirstModes(x)[1])),
Second.Mode.Count=sapply(DQA.Descriptors.Factor, function(x) sum(na.omit(x) == SecondModes(x)[1])),
Unique.Count.Ratio=sapply(DQA.Descriptors.Factor, function(x) format(round((length(unique(x))/nrow(DQA.Descriptors.Factor)),3), nsmall=3)),
First.Second.Mode.Ratio=sapply(DQA.Descriptors.Factor, function(x) format(round((sum(na.omit(x) == FirstModes(x)[1])/sum(na.omit(x) == SecondModes(x)[1])),3), nsmall=3)),
row.names=NULL)
)
}
##################################
# Formulating a data quality assessment summary for numeric Descriptors
##################################
if (length(names(DQA.Descriptors.Numeric))>0) {
##################################
# Formulating a function to determine the first mode
##################################
FirstModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
ux[tab == max(tab)]
}
##################################
# Formulating a function to determine the second mode
##################################
SecondModes <- function(x) {
ux <- unique(na.omit(x))
tab <- tabulate(match(x, ux))
fm = ux[tab == max(tab)]
sm = na.omit(x)[!(na.omit(x) %in% fm)]
usm <- unique(sm)
tabsm <- tabulate(match(sm, usm))
ifelse(is.na(usm[tabsm == max(tabsm)])==TRUE,
return(0.00001),
return(usm[tabsm == max(tabsm)]))
}
(DQA.Descriptors.Numeric.Summary <- data.frame(
Column.Name= names(DQA.Descriptors.Numeric),
Column.Type=sapply(DQA.Descriptors.Numeric, function(x) class(x)),
Unique.Count=sapply(DQA.Descriptors.Numeric, function(x) length(unique(x))),
Unique.Count.Ratio=sapply(DQA.Descriptors.Numeric, function(x) format(round((length(unique(x))/nrow(DQA.Descriptors.Numeric)),3), nsmall=3)),
First.Mode.Value=sapply(DQA.Descriptors.Numeric, function(x) format(round((FirstModes(x)[1]),3),nsmall=3)),
Second.Mode.Value=sapply(DQA.Descriptors.Numeric, function(x) format(round((SecondModes(x)[1]),3),nsmall=3)),
First.Mode.Count=sapply(DQA.Descriptors.Numeric, function(x) sum(na.omit(x) == FirstModes(x)[1])),
Second.Mode.Count=sapply(DQA.Descriptors.Numeric, function(x) sum(na.omit(x) == SecondModes(x)[1])),
First.Second.Mode.Ratio=sapply(DQA.Descriptors.Numeric, function(x) format(round((sum(na.omit(x) == FirstModes(x)[1])/sum(na.omit(x) == SecondModes(x)[1])),3), nsmall=3)),
Minimum=sapply(DQA.Descriptors.Numeric, function(x) format(round(min(x,na.rm = TRUE),3), nsmall=3)),
Mean=sapply(DQA.Descriptors.Numeric, function(x) format(round(mean(x,na.rm = TRUE),3), nsmall=3)),
Median=sapply(DQA.Descriptors.Numeric, function(x) format(round(median(x,na.rm = TRUE),3), nsmall=3)),
Maximum=sapply(DQA.Descriptors.Numeric, function(x) format(round(max(x,na.rm = TRUE),3), nsmall=3)),
Skewness=sapply(DQA.Descriptors.Numeric, function(x) format(round(skewness(x,na.rm = TRUE),3), nsmall=3)),
Kurtosis=sapply(DQA.Descriptors.Numeric, function(x) format(round(kurtosis(x,na.rm = TRUE),3), nsmall=3)),
Percentile25th=sapply(DQA.Descriptors.Numeric, function(x) format(round(quantile(x,probs=0.25,na.rm = TRUE),3), nsmall=3)),
Percentile75th=sapply(DQA.Descriptors.Numeric, function(x) format(round(quantile(x,probs=0.75,na.rm = TRUE),3), nsmall=3)),
row.names=NULL)
)
}## Column.Name Column.Type Unique.Count Unique.Count.Ratio First.Mode.Value
## 1 data.1 numeric 36 0.900 -0.030
## 2 data.2 numeric 34 0.850 0.000
## 3 data.3 numeric 38 0.950 0.150
## 4 data.4 numeric 38 0.950 0.000
## 5 data.5 numeric 36 0.900 0.045
## 6 data.6 numeric 38 0.950 0.000
## 7 data.7 numeric 33 0.825 -0.090
## 8 data.8 numeric 36 0.900 -0.155
## 9 data.9 numeric 38 0.950 -0.310
## 10 data.10 numeric 40 1.000 0.095
## 11 data.11 numeric 38 0.950 -0.910
## 12 data.12 numeric 39 0.975 -0.120
## 13 data.13 numeric 37 0.925 -0.520
## 14 data.14 numeric 26 0.650 0.000
## 15 data.15 numeric 39 0.975 0.000
## 16 data.16 numeric 36 0.900 0.000
## 17 data.17 numeric 39 0.975 0.210
## 18 data.18 numeric 37 0.925 0.000
## 19 data.19 numeric 39 0.975 -0.015
## 20 data.20 numeric 30 0.750 0.000
## 21 data.21 numeric 37 0.925 -0.380
## 22 data.22 numeric 37 0.925 0.080
## 23 data.23 numeric 37 0.925 -0.285
## 24 data.24 numeric 36 0.900 -0.540
## 25 data.25 numeric 37 0.925 -0.100
## 26 data.26 numeric 35 0.875 0.000
## 27 data.27 numeric 37 0.925 0.000
## 28 data.28 numeric 39 0.975 -0.320
## 29 data.29 numeric 39 0.975 -0.220
## 30 data.30 numeric 40 1.000 -0.230
## 31 data.31 numeric 39 0.975 0.000
## 32 data.32 numeric 36 0.900 0.000
## 33 data.33 numeric 38 0.950 0.110
## 34 data.34 numeric 37 0.925 -0.105
## 35 data.35 numeric 37 0.925 0.760
## 36 data.36 numeric 39 0.975 0.245
## 37 data.37 numeric 36 0.900 -0.180
## 38 data.38 numeric 38 0.950 -0.200
## 39 data.39 numeric 37 0.925 -0.580
## 40 data.40 numeric 36 0.900 0.010
## 41 data.41 numeric 35 0.875 -0.440
## 42 data.42 numeric 39 0.975 -0.055
## 43 data.43 numeric 40 1.000 -1.265
## 44 data.44 numeric 36 0.900 0.475
## 45 data.45 numeric 38 0.950 -0.270
## 46 data.46 numeric 34 0.850 0.105
## 47 data.47 numeric 37 0.925 0.040
## 48 data.48 numeric 37 0.925 0.608
## 49 data.49 numeric 39 0.975 0.290
## 50 data.50 numeric 38 0.950 -0.260
## 51 data.51 numeric 39 0.975 -0.690
## 52 data.52 numeric 36 0.900 -0.700
## 53 data.53 numeric 40 1.000 -0.180
## 54 data.54 numeric 38 0.950 0.175
## 55 data.55 numeric 38 0.950 -0.325
## 56 data.56 numeric 38 0.950 -0.160
## 57 data.57 numeric 36 0.900 0.000
## 58 data.58 numeric 36 0.900 0.095
## 59 data.59 numeric 38 0.950 0.020
## 60 data.60 numeric 38 0.950 0.460
## 61 data.61 numeric 39 0.975 -0.390
## 62 data.62 numeric 38 0.950 0.075
## 63 data.63 numeric 37 0.925 0.445
## 64 data.64 numeric 29 0.725 0.000
## 65 data.65 numeric 35 0.875 0.000
## 66 data.66 numeric 35 0.875 0.000
## 67 data.67 numeric 37 0.925 -0.250
## 68 data.68 numeric 39 0.975 0.075
## 69 data.69 numeric 36 0.900 -0.085
## 70 data.70 numeric 37 0.925 -0.190
## 71 data.71 numeric 37 0.925 -0.710
## 72 data.72 numeric 33 0.825 -0.150
## 73 data.73 numeric 31 0.775 0.000
## 74 data.74 numeric 37 0.925 0.540
## 75 data.75 numeric 36 0.900 -0.340
## 76 data.76 numeric 36 0.900 -0.715
## 77 data.77 numeric 36 0.900 0.000
## 78 data.78 numeric 37 0.925 0.000
## 79 data.79 numeric 30 0.750 0.000
## 80 data.80 numeric 37 0.925 -0.340
## 81 data.81 numeric 34 0.850 0.000
## 82 data.82 numeric 37 0.925 0.000
## 83 data.83 numeric 23 0.575 0.000
## 84 data.84 numeric 38 0.950 0.390
## 85 data.85 numeric 39 0.975 0.015
## 86 data.86 numeric 34 0.850 0.110
## 87 data.87 numeric 39 0.975 0.000
## 88 data.88 numeric 35 0.875 0.068
## 89 data.89 numeric 38 0.950 0.470
## 90 data.90 numeric 39 0.975 0.520
## 91 data.91 numeric 38 0.950 0.000
## 92 data.92 numeric 38 0.950 0.755
## 93 data.93 numeric 37 0.925 0.540
## 94 data.94 numeric 39 0.975 0.000
## 95 data.95 numeric 36 0.900 0.000
## 96 data.96 numeric 38 0.950 0.610
## 97 data.97 numeric 35 0.875 0.000
## 98 data.98 numeric 34 0.850 0.000
## 99 data.99 numeric 36 0.900 0.000
## 100 data.100 numeric 34 0.850 0.000
## 101 data.101 numeric 39 0.975 -0.470
## 102 data.102 numeric 33 0.825 0.000
## 103 data.103 numeric 37 0.925 -0.160
## 104 data.104 numeric 38 0.950 0.870
## 105 data.105 numeric 36 0.900 -0.300
## 106 data.106 numeric 39 0.975 -0.170
## 107 data.107 numeric 39 0.975 0.282
## 108 data.108 numeric 38 0.950 -0.310
## 109 data.109 numeric 38 0.950 1.020
## 110 data.110 numeric 39 0.975 0.685
## 111 data.111 numeric 38 0.950 5.520
## 112 data.112 numeric 40 1.000 1.805
## 113 data.113 numeric 39 0.975 -2.050
## 114 data.114 numeric 38 0.950 0.005
## 115 data.115 numeric 39 0.975 -0.310
## 116 data.116 numeric 34 0.850 0.240
## 117 data.117 numeric 37 0.925 -0.418
## 118 data.118 numeric 37 0.925 -0.195
## 119 data.119 numeric 37 0.925 0.000
## 120 data.120 numeric 35 0.875 0.000
## 121 data.121 numeric 35 0.875 0.000
## 122 data.122 numeric 31 0.775 0.000
## 123 data.123 numeric 37 0.925 0.170
## 124 data.124 numeric 24 0.600 0.000
## 125 data.125 numeric 28 0.700 0.000
## 126 data.126 numeric 33 0.825 0.000
## 127 data.127 numeric 37 0.925 0.000
## 128 data.128 numeric 29 0.725 0.000
## 129 data.129 numeric 36 0.900 -0.145
## 130 data.130 numeric 26 0.650 0.000
## 131 data.131 numeric 36 0.900 0.000
## 132 data.132 numeric 38 0.950 -0.100
## 133 data.133 numeric 23 0.575 0.000
## 134 data.134 numeric 28 0.700 0.000
## 135 data.135 numeric 29 0.725 0.000
## 136 data.136 numeric 36 0.900 0.000
## 137 data.137 numeric 25 0.625 0.000
## 138 data.138 numeric 37 0.925 0.030
## 139 data.139 numeric 31 0.775 0.000
## 140 data.140 numeric 35 0.875 0.310
## 141 data.141 numeric 35 0.875 0.000
## 142 data.142 numeric 30 0.750 0.000
## 143 data.143 numeric 38 0.950 0.225
## 144 data.144 numeric 36 0.900 0.000
## 145 data.145 numeric 40 1.000 0.370
## 146 data.146 numeric 39 0.975 -0.675
## 147 data.147 numeric 37 0.925 0.700
## 148 data.148 numeric 38 0.950 0.540
## 149 data.149 numeric 39 0.975 0.485
## 150 data.150 numeric 39 0.975 -0.110
## 151 data.151 numeric 36 0.900 -0.265
## 152 data.152 numeric 39 0.975 -0.150
## 153 data.153 numeric 39 0.975 0.810
## 154 data.154 numeric 36 0.900 0.000
## 155 data.155 numeric 34 0.850 0.000
## 156 data.156 numeric 37 0.925 -0.370
## 157 data.157 numeric 39 0.975 -0.080
## 158 data.158 numeric 38 0.950 -0.115
## 159 data.159 numeric 36 0.900 0.000
## 160 data.160 numeric 38 0.950 0.800
## 161 data.161 numeric 37 0.925 0.160
## 162 data.162 numeric 39 0.975 0.505
## 163 data.163 numeric 39 0.975 -1.440
## 164 data.164 numeric 38 0.950 -0.052
## 165 data.165 numeric 38 0.950 0.000
## 166 data.166 numeric 37 0.925 -0.115
## 167 data.167 numeric 39 0.975 0.010
## 168 data.168 numeric 36 0.900 0.550
## 169 data.169 numeric 38 0.950 -0.220
## 170 data.170 numeric 36 0.900 0.000
## 171 data.171 numeric 38 0.950 0.260
## 172 data.172 numeric 38 0.950 0.160
## 173 data.173 numeric 37 0.925 0.000
## 174 data.174 numeric 37 0.925 0.000
## 175 data.175 numeric 40 1.000 -0.375
## 176 data.176 numeric 36 0.900 0.330
## 177 data.177 numeric 37 0.925 0.000
## 178 data.178 numeric 31 0.775 0.000
## 179 data.179 numeric 35 0.875 0.000
## 180 data.180 numeric 39 0.975 0.135
## 181 data.181 numeric 37 0.925 -0.315
## 182 data.182 numeric 38 0.950 -0.560
## 183 data.183 numeric 34 0.850 0.250
## 184 data.184 numeric 37 0.925 -0.070
## 185 data.185 numeric 37 0.925 0.000
## 186 data.186 numeric 38 0.950 -0.190
## 187 data.187 numeric 37 0.925 -0.210
## 188 data.188 numeric 32 0.800 0.000
## 189 data.189 numeric 40 1.000 0.070
## 190 data.190 numeric 38 0.950 0.895
## 191 data.191 numeric 38 0.950 0.885
## 192 data.192 numeric 37 0.925 0.000
## 193 data.193 numeric 37 0.925 -0.698
## 194 data.194 numeric 39 0.975 0.462
## 195 data.195 numeric 39 0.975 0.000
## 196 data.196 numeric 38 0.950 0.000
## 197 data.197 numeric 35 0.875 0.000
## 198 data.198 numeric 28 0.700 0.000
## 199 data.199 numeric 36 0.900 0.520
## 200 data.200 numeric 38 0.950 0.260
## 201 data.201 numeric 38 0.950 -1.095
## 202 data.202 numeric 39 0.975 -0.200
## 203 data.203 numeric 39 0.975 -0.545
## 204 data.204 numeric 34 0.850 0.000
## 205 data.205 numeric 39 0.975 -1.030
## 206 data.206 numeric 35 0.875 0.000
## 207 data.207 numeric 38 0.950 0.000
## 208 data.208 numeric 37 0.925 -0.650
## 209 data.209 numeric 32 0.800 0.000
## 210 data.210 numeric 37 0.925 0.450
## 211 data.211 numeric 34 0.850 0.000
## 212 data.212 numeric 32 0.800 0.000
## 213 data.213 numeric 33 0.825 0.000
## 214 data.214 numeric 38 0.950 0.290
## 215 data.215 numeric 37 0.925 0.000
## 216 data.216 numeric 39 0.975 0.672
## 217 data.217 numeric 37 0.925 0.385
## 218 data.218 numeric 38 0.950 0.035
## 219 data.219 numeric 38 0.950 0.210
## 220 data.220 numeric 37 0.925 -0.150
## 221 data.221 numeric 39 0.975 -0.490
## 222 data.222 numeric 39 0.975 0.000
## 223 data.223 numeric 31 0.775 0.000
## 224 data.224 numeric 33 0.825 0.000
## 225 data.225 numeric 34 0.850 0.000
## 226 data.226 numeric 39 0.975 -0.030
## 227 data.227 numeric 37 0.925 -0.430
## 228 data.228 numeric 38 0.950 -0.640
## 229 data.229 numeric 37 0.925 0.000
## 230 data.230 numeric 29 0.725 0.000
## 231 data.231 numeric 33 0.825 0.000
## 232 data.232 numeric 39 0.975 0.405
## 233 data.233 numeric 30 0.750 0.000
## 234 data.234 numeric 40 1.000 -0.570
## 235 data.235 numeric 39 0.975 0.475
## 236 data.236 numeric 38 0.950 0.000
## 237 data.237 numeric 38 0.950 0.000
## 238 data.238 numeric 31 0.775 0.000
## 239 data.239 numeric 35 0.875 -0.600
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## 241 data.241 numeric 35 0.875 0.000
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## 243 data.243 numeric 38 0.950 0.000
## 244 data.244 numeric 37 0.925 0.000
## 245 data.245 numeric 40 1.000 -0.680
## 246 data.246 numeric 37 0.925 0.000
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## 248 data.248 numeric 39 0.975 0.000
## 249 data.249 numeric 38 0.950 -0.540
## 250 data.250 numeric 40 1.000 -1.120
## 251 data.251 numeric 39 0.975 1.980
## 252 data.252 numeric 36 0.900 0.000
## 253 data.253 numeric 35 0.875 0.000
## 254 data.254 numeric 34 0.850 0.000
## 255 data.255 numeric 34 0.850 0.000
## 256 data.256 numeric 40 1.000 -1.880
## 257 data.257 numeric 37 0.925 -0.770
## 258 data.258 numeric 38 0.950 -0.990
## 259 data.259 numeric 27 0.675 0.000
## 260 data.260 numeric 37 0.925 0.115
## 261 data.261 numeric 36 0.900 0.000
## 262 data.262 numeric 32 0.800 0.000
## 263 data.263 numeric 29 0.725 0.000
## 264 data.264 numeric 38 0.950 0.000
## 265 data.265 numeric 38 0.950 -1.010
## 266 data.266 numeric 37 0.925 0.000
## 267 data.267 numeric 34 0.850 0.000
## 268 data.268 numeric 32 0.800 0.000
## 269 data.269 numeric 30 0.750 0.000
## 270 data.270 numeric 36 0.900 0.000
## 271 data.271 numeric 37 0.925 0.000
## 272 data.272 numeric 37 0.925 0.000
## 273 data.273 numeric 39 0.975 0.000
## 274 data.274 numeric 39 0.975 0.000
## 275 data.275 numeric 36 0.900 -0.690
## 276 data.276 numeric 35 0.875 0.000
## 277 data.277 numeric 36 0.900 -0.030
## 278 data.278 numeric 38 0.950 -0.190
## 279 data.279 numeric 40 1.000 0.120
## 280 data.280 numeric 39 0.975 -2.440
## 281 data.281 numeric 39 0.975 -2.560
## 282 data.282 numeric 36 0.900 -0.510
## 283 data.283 numeric 39 0.975 0.465
## 284 data.284 numeric 38 0.950 0.100
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## 286 data.286 numeric 39 0.975 -3.940
## 287 data.287 numeric 36 0.900 0.000
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## 292 data.292 numeric 34 0.850 0.000
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## 294 data.294 numeric 38 0.950 -1.050
## 295 data.295 numeric 27 0.675 0.000
## 296 data.296 numeric 38 0.950 -0.190
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## 299 data.299 numeric 35 0.875 0.000
## 300 data.300 numeric 39 0.975 0.600
## 301 data.301 numeric 40 1.000 1.345
## 302 data.302 numeric 36 0.900 0.838
## 303 data.303 numeric 36 0.900 -0.110
## 304 data.304 numeric 39 0.975 0.000
## 305 data.305 numeric 38 0.950 0.605
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## 308 data.308 numeric 39 0.975 0.010
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## 310 data.310 numeric 39 0.975 0.770
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## 313 data.313 numeric 38 0.950 0.000
## 314 data.314 numeric 38 0.950 0.650
## 315 data.315 numeric 37 0.925 0.000
## 316 data.316 numeric 37 0.925 0.170
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## 318 data.318 numeric 40 1.000 2.290
## 319 data.319 numeric 35 0.875 0.000
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## 322 data.322 numeric 39 0.975 0.050
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## 330 data.330 numeric 35 0.875 0.425
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## 333 data.333 numeric 37 0.925 0.200
## 334 data.334 numeric 40 1.000 -0.630
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## 336 data.336 numeric 38 0.950 -0.955
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## 338 data.338 numeric 37 0.925 0.000
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## 343 data.343 numeric 36 0.900 0.085
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## 350 data.350 numeric 40 1.000 -0.320
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## 405 data.405 numeric 36 0.900 0.000
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## 5632 data.5632 numeric 38 0.950 1.225
## 5633 data.5633 numeric 38 0.950 -0.270
## 5634 data.5634 numeric 38 0.950 0.525
## 5635 data.5635 numeric 37 0.925 -0.020
## 5636 data.5636 numeric 39 0.975 1.175
## 5637 data.5637 numeric 35 0.875 0.410
## 5638 data.5638 numeric 37 0.925 0.000
## 5639 data.5639 numeric 37 0.925 0.290
## 5640 data.5640 numeric 39 0.975 0.330
## 5641 data.5641 numeric 40 1.000 1.205
## 5642 data.5642 numeric 38 0.950 0.340
## 5643 data.5643 numeric 36 0.900 0.635
## 5644 data.5644 numeric 39 0.975 0.765
## 5645 data.5645 numeric 38 0.950 0.455
## 5646 data.5646 numeric 37 0.925 0.000
## 5647 data.5647 numeric 37 0.925 1.140
## 5648 data.5648 numeric 40 1.000 1.870
## 5649 data.5649 numeric 36 0.900 0.000
## 5650 data.5650 numeric 38 0.950 0.710
## 5651 data.5651 numeric 37 0.925 1.475
## 5652 data.5652 numeric 39 0.975 0.000
## 5653 data.5653 numeric 38 0.950 -0.320
## 5654 data.5654 numeric 33 0.825 0.360
## 5655 data.5655 numeric 40 1.000 -0.050
## 5656 data.5656 numeric 39 0.975 -0.285
## 5657 data.5657 numeric 39 0.975 -0.530
## 5658 data.5658 numeric 36 0.900 0.240
## 5659 data.5659 numeric 38 0.950 0.930
## 5660 data.5660 numeric 30 0.750 0.000
## 5661 data.5661 numeric 38 0.950 0.000
## 5662 data.5662 numeric 36 0.900 -0.010
## 5663 data.5663 numeric 37 0.925 0.250
## 5664 data.5664 numeric 38 0.950 -0.255
## 5665 data.5665 numeric 36 0.900 0.140
## 5666 data.5666 numeric 36 0.900 -0.200
## 5667 data.5667 numeric 37 0.925 0.670
## 5668 data.5668 numeric 37 0.925 -0.040
## 5669 data.5669 numeric 39 0.975 -0.050
## 5670 data.5670 numeric 39 0.975 1.220
## 5671 data.5671 numeric 37 0.925 -0.020
## 5672 data.5672 numeric 39 0.975 -0.350
## 5673 data.5673 numeric 36 0.900 0.060
## 5674 data.5674 numeric 40 1.000 1.070
## 5675 data.5675 numeric 36 0.900 0.000
## 5676 data.5676 numeric 39 0.975 0.835
## 5677 data.5677 numeric 38 0.950 0.290
## 5678 data.5678 numeric 38 0.950 -0.150
## 5679 data.5679 numeric 39 0.975 -0.290
## 5680 data.5680 numeric 34 0.850 0.340
## 5681 data.5681 numeric 37 0.925 0.080
## 5682 data.5682 numeric 35 0.875 0.245
## 5683 data.5683 numeric 38 0.950 0.430
## 5684 data.5684 numeric 39 0.975 -0.310
## 5685 data.5685 numeric 39 0.975 0.000
## 5686 data.5686 numeric 39 0.975 0.100
## 5687 data.5687 numeric 36 0.900 -0.190
## 5688 data.5688 numeric 38 0.950 -1.190
## 5689 data.5689 numeric 36 0.900 0.000
## 5690 data.5690 numeric 36 0.900 0.000
## 5691 data.5691 numeric 39 0.975 0.000
## 5692 data.5692 numeric 33 0.825 0.000
## 5693 data.5693 numeric 34 0.850 0.950
## 5694 data.5694 numeric 37 0.925 0.000
## 5695 data.5695 numeric 35 0.875 0.000
## 5696 data.5696 numeric 12 0.300 0.000
## 5697 data.5697 numeric 39 0.975 0.270
## 5698 data.5698 numeric 37 0.925 0.000
## 5699 data.5699 numeric 38 0.950 0.275
## 5700 data.5700 numeric 38 0.950 0.145
## 5701 data.5701 numeric 37 0.925 -0.165
## 5702 data.5702 numeric 33 0.825 0.000
## 5703 data.5703 numeric 31 0.775 0.000
## 5704 data.5704 numeric 36 0.900 -0.110
## 5705 data.5705 numeric 35 0.875 0.000
## 5706 data.5706 numeric 37 0.925 0.000
## 5707 data.5707 numeric 35 0.875 0.000
## 5708 data.5708 numeric 34 0.850 0.050
## 5709 data.5709 numeric 38 0.950 0.000
## 5710 data.5710 numeric 37 0.925 -0.180
## 5711 data.5711 numeric 38 0.950 0.430
## 5712 data.5712 numeric 30 0.750 0.000
## 5713 data.5713 numeric 36 0.900 0.000
## 5714 data.5714 numeric 39 0.975 -0.565
## 5715 data.5715 numeric 39 0.975 -0.750
## 5716 data.5716 numeric 37 0.925 0.000
## 5717 data.5717 numeric 37 0.925 0.760
## 5718 data.5718 numeric 39 0.975 0.890
## 5719 data.5719 numeric 33 0.825 0.320
## 5720 data.5720 numeric 33 0.825 0.000
## 5721 data.5721 numeric 39 0.975 1.770
## 5722 data.5722 numeric 39 0.975 0.725
## 5723 data.5723 numeric 38 0.950 0.390
## 5724 data.5724 numeric 36 0.900 -1.090
## 5725 data.5725 numeric 39 0.975 0.675
## 5726 data.5726 numeric 37 0.925 -1.130
## 5727 data.5727 numeric 38 0.950 0.000
## 5728 data.5728 numeric 40 1.000 1.005
## 5729 data.5729 numeric 37 0.925 0.000
## 5730 data.5730 numeric 37 0.925 0.000
## 5731 data.5731 numeric 36 0.900 0.350
## 5732 data.5732 numeric 35 0.875 0.000
## 5733 data.5733 numeric 39 0.975 -0.985
## 5734 data.5734 numeric 37 0.925 0.100
## 5735 data.5735 numeric 39 0.975 0.000
## 5736 data.5736 numeric 29 0.725 0.000
## 5737 data.5737 numeric 37 0.925 0.000
## 5738 data.5738 numeric 40 1.000 -0.540
## 5739 data.5739 numeric 36 0.900 0.000
## 5740 data.5740 numeric 36 0.900 0.390
## 5741 data.5741 numeric 37 0.925 0.580
## 5742 data.5742 numeric 37 0.925 0.150
## 5743 data.5743 numeric 39 0.975 0.270
## 5744 data.5744 numeric 38 0.950 0.540
## 5745 data.5745 numeric 36 0.900 0.000
## 5746 data.5746 numeric 39 0.975 0.050
## 5747 data.5747 numeric 39 0.975 -0.050
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## 5751 data.5751 numeric 38 0.950 0.000
## 5752 data.5752 numeric 37 0.925 0.930
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## 5756 data.5756 numeric 39 0.975 0.660
## 5757 data.5757 numeric 39 0.975 0.630
## 5758 data.5758 numeric 40 1.000 2.580
## 5759 data.5759 numeric 39 0.975 0.000
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## 5761 data.5761 numeric 38 0.950 -0.050
## 5762 data.5762 numeric 39 0.975 -0.795
## 5763 data.5763 numeric 38 0.950 -1.095
## 5764 data.5764 numeric 39 0.975 0.000
## 5765 data.5765 numeric 39 0.975 0.000
## 5766 data.5766 numeric 38 0.950 0.880
## 5767 data.5767 numeric 37 0.925 0.090
## 5768 data.5768 numeric 37 0.925 0.060
## 5769 data.5769 numeric 36 0.900 0.000
## 5770 data.5770 numeric 38 0.950 -0.550
## 5771 data.5771 numeric 38 0.950 -0.050
## 5772 data.5772 numeric 37 0.925 0.785
## 5773 data.5773 numeric 38 0.950 1.420
## 5774 data.5774 numeric 39 0.975 0.400
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## 5776 data.5776 numeric 38 0.950 0.000
## 5777 data.5777 numeric 37 0.925 0.150
## 5778 data.5778 numeric 36 0.900 0.325
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## 5780 data.5780 numeric 37 0.925 0.030
## 5781 data.5781 numeric 38 0.950 0.030
## 5782 data.5782 numeric 35 0.875 0.000
## 5783 data.5783 numeric 39 0.975 0.555
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## 5785 data.5785 numeric 40 1.000 1.320
## 5786 data.5786 numeric 36 0.900 0.000
## 5787 data.5787 numeric 38 0.950 -0.565
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## 5789 data.5789 numeric 38 0.950 0.475
## 5790 data.5790 numeric 36 0.900 0.000
## 5791 data.5791 numeric 36 0.900 0.620
## 5792 data.5792 numeric 35 0.875 -0.015
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## 5803 data.5803 numeric 39 0.975 0.680
## 5804 data.5804 numeric 40 1.000 4.700
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## 5806 data.5806 numeric 38 0.950 0.925
## 5807 data.5807 numeric 39 0.975 0.000
## 5808 data.5808 numeric 37 0.925 0.000
## 5809 data.5809 numeric 38 0.950 0.000
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## 5830 data.5830 numeric 37 0.925 0.000
## 5831 data.5831 numeric 30 0.750 0.000
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## 5834 data.5834 numeric 37 0.925 0.000
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## 5873 1.920 2 1
## 5874 1.510 2 1
## 5875 2.350 2 1
## 5876 0.000 1 0
## 5877 0.465 2 1
## 5878 1.550 2 1
## 5879 0.055 2 1
## 5880 0.550 2 1
## 5881 0.640 2 1
## 5882 0.000 1 0
## First.Second.Mode.Ratio Minimum Mean Median Maximum Skewness Kurtosis
## 1 2.000 -1.060 -0.051 -0.030 0.760 -0.084 2.475
## 2 3.000 -2.190 -0.143 0.000 2.240 0.067 4.350
## 3 3.000 -0.770 0.007 -0.005 1.150 0.386 3.662
## 4 3.000 -2.610 -0.451 -0.655 1.500 -0.034 1.771
## 5 1.500 -0.715 0.074 0.030 1.585 1.149 5.566
## 6 2.000 -0.700 0.006 0.000 1.160 0.614 4.897
## 7 1.500 -0.920 0.022 0.000 0.940 0.047 3.668
## 8 2.000 -0.675 -0.042 -0.005 0.475 -0.550 3.002
## 9 2.000 -0.730 0.047 0.025 0.990 0.261 2.331
## 10 Inf -1.260 0.163 0.245 1.490 -0.192 2.430
## 11 2.000 -1.070 0.149 0.235 1.750 0.156 2.503
## 12 2.000 -1.300 0.167 0.168 1.710 -0.052 2.406
## 13 2.000 -1.240 -0.079 -0.095 0.685 -0.431 3.408
## 14 15.000 -0.575 0.045 0.000 1.715 2.306 9.741
## 15 2.000 -1.370 0.328 0.030 3.280 0.981 3.342
## 16 5.000 -2.480 1.691 0.780 8.180 0.557 2.078
## 17 2.000 -0.970 0.586 0.160 3.450 0.936 2.812
## 18 4.000 -1.105 0.002 0.060 2.135 0.658 5.407
## 19 2.000 -0.945 -0.021 -0.015 1.395 0.393 2.961
## 20 4.000 -1.370 -0.063 0.000 0.890 -0.777 4.335
## 21 2.000 -1.500 -0.009 -0.030 0.940 -0.580 3.947
## 22 2.000 -0.620 -0.002 -0.015 1.010 0.686 4.584
## 23 1.500 -0.595 -0.040 -0.130 0.795 0.605 3.012
## 24 2.000 -0.540 -0.018 0.020 0.610 0.013 2.097
## 25 2.000 -0.820 -0.012 -0.135 1.280 0.772 3.128
## 26 1.500 -0.925 -0.019 -0.018 0.895 -0.012 2.946
## 27 4.000 -1.330 0.070 0.000 1.350 -0.111 2.772
## 28 2.000 -1.610 -0.203 -0.255 1.400 0.015 2.542
## 29 2.000 -0.840 0.042 0.005 1.350 0.437 3.229
## 30 Inf -1.670 -0.002 0.065 1.130 -0.770 4.532
## 31 2.000 -1.330 0.103 0.000 1.300 -0.060 2.370
## 32 2.000 -0.780 0.010 -0.045 0.930 0.176 2.095
## 33 2.000 -1.050 -0.009 -0.005 1.150 0.111 2.365
## 34 2.000 -1.145 -0.036 -0.100 1.015 0.085 2.414
## 35 2.000 -1.550 -0.019 0.065 0.930 -0.561 2.655
## 36 2.000 -1.085 0.020 0.145 0.715 -0.663 2.554
## 37 2.000 -1.080 -0.144 -0.065 0.740 -0.315 2.454
## 38 2.000 -0.730 0.033 -0.005 1.420 0.831 4.753
## 39 2.000 -1.040 -0.025 0.025 0.930 -0.279 2.614
## 40 2.000 -1.260 0.141 0.065 1.335 0.109 3.664
## 41 2.000 -1.150 0.007 0.040 1.225 -0.181 3.500
## 42 2.000 -1.225 0.129 0.120 1.335 -0.079 3.260
## 43 Inf -1.705 0.195 0.235 1.475 -0.505 3.467
## 44 1.500 -1.415 0.205 0.365 1.365 -0.583 2.830
## 45 2.000 -1.240 -0.022 -0.040 0.995 -0.278 2.824
## 46 1.500 -1.385 -0.010 0.035 0.775 -0.804 3.873
## 47 2.000 -0.800 -0.019 -0.015 1.050 0.351 3.406
## 48 2.000 -1.933 0.003 -0.068 1.337 -0.415 3.941
## 49 2.000 -1.440 -0.017 -0.050 1.260 -0.272 3.477
## 50 2.000 -1.150 -0.065 -0.065 1.290 0.242 2.796
## 51 2.000 -1.270 -0.018 -0.030 1.530 0.372 3.262
## 52 2.000 -1.230 -0.023 -0.040 1.450 0.447 3.033
## 53 Inf -0.920 0.109 -0.060 1.670 0.686 2.858
## 54 2.000 -0.665 0.062 0.030 0.875 0.326 2.690
## 55 2.000 -0.775 0.051 0.050 1.005 0.133 2.756
## 56 2.000 -0.720 0.048 0.015 0.820 -0.041 2.850
## 57 1.500 -1.030 -0.041 0.000 0.690 -0.403 3.710
## 58 2.000 -0.785 -0.020 0.007 1.305 0.731 5.780
## 59 2.000 -1.550 0.019 0.010 1.160 -0.191 4.058
## 60 2.000 -1.350 -0.036 0.025 0.780 -0.631 3.284
## 61 2.000 -0.860 0.029 0.108 0.910 -0.256 1.941
## 62 2.000 -0.775 -0.044 0.000 0.595 -0.266 2.862
## 63 2.000 -1.175 0.007 0.015 0.985 -0.233 2.402
## 64 3.000 -0.910 0.027 0.000 0.930 -0.024 2.676
## 65 1.500 -1.320 -0.037 -0.005 1.140 -0.147 5.522
## 66 2.000 -1.400 0.038 0.000 1.040 -0.367 2.924
## 67 1.500 -2.170 -0.117 -0.025 1.830 -0.179 4.613
## 68 2.000 -1.555 -0.079 0.003 1.025 -0.605 4.060
## 69 1.500 -2.505 -0.072 -0.050 0.755 -1.786 7.094
## 70 1.500 -1.630 -0.064 -0.080 0.740 -1.125 5.696
## 71 2.000 -1.140 -0.101 -0.062 0.760 -0.179 2.480
## 72 2.000 -1.390 -0.018 -0.030 0.700 -0.556 4.210
## 73 2.500 -1.450 -0.022 0.000 2.100 1.186 10.514
## 74 2.000 -1.160 -0.026 -0.005 1.400 0.035 3.438
## 75 2.000 -1.540 -0.102 -0.015 0.655 -0.917 3.729
## 76 2.000 -1.035 -0.091 -0.013 0.560 -0.657 2.869
## 77 2.000 -0.990 -0.096 0.000 1.195 0.274 3.464
## 78 4.000 -2.550 0.094 -0.300 3.600 0.595 2.473
## 79 3.500 -0.660 -0.023 0.000 0.610 -0.215 3.929
## 80 2.000 -3.730 -0.236 -0.110 2.490 -0.629 3.599
## 81 7.000 -1.525 -0.016 0.000 2.475 0.426 4.980
## 82 1.500 -2.820 0.092 0.000 2.290 -0.363 3.695
## 83 8.500 -1.650 0.112 0.000 2.800 1.058 4.825
## 84 2.000 -2.560 -0.005 0.000 2.100 -0.285 3.388
## 85 2.000 -1.125 0.221 0.100 2.195 0.294 2.769
## 86 1.500 -0.780 0.025 0.010 1.050 0.305 2.789
## 87 2.000 -1.925 0.035 -0.007 1.725 -0.286 5.266
## 88 2.000 -1.653 -0.064 -0.020 1.317 -0.271 4.281
## 89 2.000 -0.960 0.009 0.050 1.215 0.047 1.803
## 90 2.000 -1.060 0.102 0.165 1.580 0.040 1.856
## 91 3.000 -1.220 0.056 0.040 1.430 0.129 2.481
## 92 2.000 -1.385 0.239 0.155 2.065 0.055 1.909
## 93 2.000 -1.470 0.025 0.028 1.680 0.229 2.672
## 94 2.000 -3.460 -0.062 0.035 1.830 -0.615 3.169
## 95 2.000 -3.870 -0.034 0.280 2.270 -0.777 2.984
## 96 2.000 -1.130 0.061 0.040 1.390 0.070 2.303
## 97 2.500 -0.900 0.033 0.000 1.060 -0.058 4.033
## 98 1.333 -1.590 0.324 0.480 1.870 -0.257 2.662
## 99 2.000 -2.500 0.376 0.395 2.445 -0.254 2.783
## 100 2.500 -3.220 0.127 0.170 2.120 -0.923 3.507
## 101 2.000 -1.070 0.109 -0.030 2.165 1.032 4.192
## 102 1.333 -0.720 0.080 0.000 1.340 0.712 3.523
## 103 2.000 -0.970 0.164 0.115 1.775 0.563 3.009
## 104 2.000 -1.230 0.235 0.055 2.050 0.577 3.276
## 105 2.000 -0.950 0.194 0.180 1.965 0.411 2.671
## 106 2.000 -0.860 0.104 0.032 1.255 0.264 2.255
## 107 2.000 -1.728 0.194 0.248 2.713 0.695 4.530
## 108 2.000 -1.210 0.414 0.205 2.285 0.244 1.929
## 109 2.000 -1.840 0.060 0.015 1.890 0.198 2.249
## 110 2.000 -1.335 0.151 0.160 1.755 0.212 2.667
## 111 2.000 -2.190 0.706 -0.035 5.520 1.363 3.651
## 112 Inf -1.865 0.817 -0.160 6.685 1.251 3.347
## 113 2.000 -2.080 0.908 -0.245 7.460 1.183 3.106
## 114 2.000 -1.395 0.003 -0.010 1.495 0.117 3.389
## 115 2.000 -0.820 -0.122 -0.170 0.895 0.427 2.258
## 116 2.000 -0.640 0.079 -0.015 0.980 0.546 3.185
## 117 2.000 -1.428 -0.070 0.000 1.433 0.046 2.049
## 118 1.500 -1.375 0.144 0.103 2.435 0.718 5.655
## 119 4.000 -1.090 0.341 -0.035 4.600 2.060 6.597
## 120 2.500 -2.110 -0.143 -0.015 1.740 -0.443 3.135
## 121 2.500 -2.240 -0.083 -0.032 0.970 -1.152 4.748
## 122 4.000 -0.760 -0.027 0.000 1.390 1.126 6.058
## 123 2.000 -0.770 -0.005 -0.070 2.030 1.702 7.879
## 124 8.000 -1.995 -0.097 0.000 5.255 3.050 18.210
## 125 6.000 -2.370 -0.080 0.000 4.680 1.843 11.792
## 126 8.000 -2.035 0.134 0.000 2.505 0.242 3.062
## 127 4.000 -2.415 0.543 0.000 3.565 0.429 2.467
## 128 12.000 -2.360 0.078 0.000 4.650 1.223 4.686
## 129 2.000 -1.265 0.094 -0.055 2.265 1.253 5.690
## 130 7.000 -1.595 0.277 0.000 4.155 1.478 4.959
## 131 1.500 -1.960 0.046 0.000 2.100 0.112 3.686
## 132 2.000 -2.260 -0.054 -0.025 2.180 -0.279 2.814
## 133 8.500 -5.130 -0.710 0.000 4.165 -0.350 3.009
## 134 6.000 -2.960 0.200 0.000 6.245 0.905 3.605
## 135 5.500 -1.760 0.039 0.000 3.050 0.679 3.530
## 136 2.000 -1.390 0.154 0.000 2.490 1.291 5.568
## 137 16.000 -1.620 -0.143 0.000 1.830 0.356 3.330
## 138 2.000 -1.440 -0.031 -0.095 3.100 1.448 6.427
## 139 10.000 -1.750 -0.159 0.000 3.580 1.557 6.683
## 140 1.500 -2.270 -0.165 -0.070 2.700 0.324 4.195
## 141 6.000 -1.070 0.229 0.000 3.300 1.884 7.402
## 142 3.500 -1.510 0.228 0.000 3.180 1.389 4.660
## 143 2.000 -1.605 0.622 0.275 3.735 0.472 2.075
## 144 2.000 -1.695 -0.091 0.000 1.280 -0.128 2.465
## 145 Inf -2.290 0.046 0.100 1.360 -0.635 2.867
## 146 2.000 -1.085 -0.040 0.000 1.275 0.308 2.427
## 147 2.000 -1.540 -0.059 -0.010 1.110 -0.308 2.469
## 148 2.000 -1.520 0.041 0.065 1.930 0.278 3.369
## 149 2.000 -1.655 0.039 0.035 2.185 0.175 3.534
## 150 2.000 -0.690 0.275 0.025 1.960 0.755 2.721
## 151 2.000 -1.105 0.312 0.145 2.055 0.320 2.090
## 152 2.000 -1.170 0.350 0.270 2.230 0.280 2.345
## 153 2.000 -1.690 0.164 0.205 2.950 0.348 3.596
## 154 2.000 -2.810 -0.014 0.000 1.740 -0.935 6.540
## 155 2.000 -1.060 0.051 0.000 0.900 -0.590 3.459
## 156 2.000 -1.620 0.230 0.220 3.360 1.125 5.274
## 157 2.000 -1.570 0.224 0.165 2.810 0.630 4.092
## 158 2.000 -1.395 0.144 0.095 1.745 0.200 2.879
## 159 2.000 -1.300 0.088 0.007 1.410 0.215 2.704
## 160 2.000 -0.950 0.015 -0.010 1.230 0.360 2.906
## 161 2.000 -0.790 -0.036 0.025 0.860 -0.297 2.986
## 162 2.000 -1.755 -0.026 0.050 2.165 0.045 2.132
## 163 2.000 -2.420 -0.128 0.085 2.170 -0.232 2.343
## 164 2.000 -1.893 -0.020 0.182 2.128 -0.117 2.242
## 165 2.000 -1.270 -0.003 0.007 1.370 0.258 2.289
## 166 2.000 -0.845 -0.033 -0.030 0.855 0.057 3.100
## 167 2.000 -2.020 0.041 0.075 2.020 -0.163 2.958
## 168 2.000 -1.190 -0.044 0.000 1.120 -0.102 2.233
## 169 2.000 -1.050 -0.029 0.005 0.900 -0.117 2.119
## 170 2.000 -1.375 0.029 0.120 0.855 -0.791 3.301
## 171 2.000 -0.830 0.049 0.025 0.860 -0.230 2.951
## 172 2.000 -1.050 -0.001 0.025 0.870 -0.194 2.599
## 173 2.000 -0.940 0.086 0.167 0.970 -0.102 2.350
## 174 1.500 -1.220 0.112 0.115 1.280 -0.387 2.959
## 175 Inf -1.175 0.144 0.150 1.455 -0.237 3.424
## 176 1.500 -0.670 0.107 0.085 0.890 0.056 3.256
## 177 1.500 -1.760 -0.009 0.000 1.690 0.134 4.286
## 178 4.000 -1.590 0.058 -0.035 3.350 1.328 5.904
## 179 6.000 -1.675 0.224 0.000 3.415 0.973 3.367
## 180 2.000 -1.255 0.159 0.068 2.245 0.583 3.005
## 181 2.000 -1.665 0.078 0.035 1.055 -0.501 3.000
## 182 2.000 -1.900 0.213 -0.005 2.310 0.376 2.565
## 183 1.500 -0.920 -0.061 0.000 0.610 -0.333 2.917
## 184 2.000 -1.200 0.015 0.030 0.990 -0.252 3.169
## 185 1.500 -0.950 0.115 0.065 1.010 -0.086 2.321
## 186 2.000 -2.390 -0.042 -0.020 1.120 -1.200 6.781
## 187 2.000 -2.570 0.537 0.272 5.200 0.574 3.630
## 188 4.000 -2.480 0.386 0.000 4.800 0.729 2.667
## 189 Inf -2.520 0.446 -0.085 4.560 1.049 3.710
## 190 2.000 -0.775 0.125 0.055 1.465 0.504 2.736
## 191 2.000 -1.075 0.212 0.025 2.515 0.941 4.086
## 192 1.500 -1.310 0.201 0.085 2.330 0.424 2.447
## 193 2.000 -1.337 0.229 -0.029 2.763 0.604 2.331
## 194 2.000 -1.847 -0.094 -0.113 1.502 -0.249 2.551
## 195 2.000 -2.080 0.091 -0.020 2.090 0.281 2.656
## 196 3.000 -5.645 -0.453 0.000 3.055 -0.160 1.747
## 197 2.500 -2.275 0.151 0.000 2.755 0.186 1.875
## 198 13.000 -1.210 0.558 0.000 4.490 1.226 3.693
## 199 2.000 -1.560 -0.123 0.035 0.960 -0.541 2.342
## 200 2.000 -1.070 0.054 -0.050 1.000 0.029 2.099
## 201 2.000 -2.350 0.070 -0.105 2.530 0.238 2.479
## 202 2.000 -0.735 0.121 -0.020 1.350 0.565 2.522
## 203 2.000 -1.045 0.068 -0.090 1.535 0.439 2.272
## 204 7.000 -1.830 0.213 0.000 4.980 1.688 5.896
## 205 2.000 -1.400 0.495 0.170 3.160 0.558 2.455
## 206 2.500 -1.542 0.114 0.000 2.207 0.585 6.002
## 207 3.000 -1.800 0.420 0.000 4.990 1.297 4.629
## 208 2.000 -2.120 0.191 0.000 2.700 0.145 1.933
## 209 4.000 -1.530 0.241 0.000 2.970 0.800 3.654
## 210 2.000 -1.050 0.311 0.015 2.660 0.751 3.036
## 211 7.000 -1.810 0.207 0.000 3.370 0.710 3.371
## 212 9.000 -1.770 0.186 0.000 5.510 1.945 7.996
## 213 3.500 -2.550 0.021 0.000 3.140 0.204 2.154
## 214 2.000 -2.020 0.337 -0.005 4.480 1.150 3.761
## 215 1.500 -1.290 -0.112 0.000 1.150 -0.059 3.438
## 216 2.000 -1.198 0.097 -0.058 1.663 0.401 2.263
## 217 2.000 -1.915 0.014 0.010 1.425 -0.299 3.530
## 218 2.000 -1.225 -0.073 0.000 0.995 -0.215 3.269
## 219 2.000 -1.350 0.055 -0.005 1.550 0.085 2.627
## 220 2.000 -1.005 0.058 0.050 1.260 0.045 2.764
## 221 2.000 -1.500 0.209 -0.005 3.190 0.805 3.342
## 222 2.000 -1.460 0.161 -0.035 2.770 0.922 3.606
## 223 4.000 -2.330 0.121 0.000 4.250 1.203 4.401
## 224 3.000 -2.005 0.769 0.000 6.860 1.520 4.513
## 225 2.000 -1.410 0.283 0.050 3.580 1.206 4.500
## 226 2.000 -2.210 0.345 -0.005 5.060 2.012 7.374
## 227 2.000 -2.350 0.586 0.020 6.220 1.461 4.372
## 228 2.000 -1.440 0.590 0.095 5.870 1.615 4.731
## 229 1.500 -1.310 0.733 0.000 6.640 1.624 4.496
## 230 5.500 -1.625 0.217 0.000 4.795 2.319 8.640
## 231 3.500 -1.025 0.444 0.000 5.795 2.171 7.390
## 232 2.000 -1.345 0.180 0.045 2.035 0.783 3.392
## 233 4.500 -2.480 0.042 -0.035 4.050 0.884 3.210
## 234 Inf -1.290 0.126 -0.015 2.910 0.851 3.015
## 235 2.000 -1.105 0.032 0.000 1.255 0.123 2.697
## 236 3.000 -2.390 0.076 -0.140 2.610 0.268 2.800
## 237 3.000 -3.200 0.052 -0.010 2.960 0.082 2.785
## 238 4.500 -1.660 0.099 0.000 2.670 0.603 3.521
## 239 2.000 -1.080 0.198 -0.117 2.960 0.988 3.120
## 240 2.000 -1.143 0.009 -0.068 1.527 0.415 2.376
## 241 2.500 -2.905 -0.127 0.000 2.625 0.170 2.319
## 242 2.000 -2.255 0.359 -0.028 3.415 0.334 2.130
## 243 3.000 -4.320 -0.020 0.000 3.360 -0.207 2.227
## 244 1.500 -3.210 -0.084 0.000 3.440 0.087 2.567
## 245 Inf -2.500 0.379 0.320 4.060 0.196 1.825
## 246 1.500 -3.300 -0.096 0.020 2.390 -0.220 2.154
## 247 2.000 -2.680 -0.003 -0.075 2.830 0.205 1.520
## 248 2.000 -2.460 0.938 0.015 4.560 0.307 1.703
## 249 2.000 -1.330 0.323 0.220 2.010 0.263 2.446
## 250 Inf -1.630 0.010 -0.060 1.850 0.228 2.345
## 251 2.000 -2.250 0.366 0.215 4.130 0.255 1.838
## 252 5.000 -2.760 0.953 0.000 5.580 0.306 1.689
## 253 2.500 -2.680 -0.083 0.000 2.440 -0.072 1.825
## 254 3.000 -2.720 -0.022 0.000 2.990 0.018 1.803
## 255 7.000 -3.240 -0.274 0.000 2.820 -0.261 2.159
## 256 Inf -3.020 0.881 -0.285 6.340 0.539 1.933
## 257 2.000 -2.480 0.847 -0.335 5.890 0.703 1.975
## 258 2.000 -3.565 -0.164 -0.115 2.320 -0.312 2.758
## 259 14.000 -4.290 -0.319 0.000 2.600 -0.914 3.092
## 260 2.000 -2.095 -0.058 0.000 2.275 0.053 2.512
## 261 5.000 -2.380 0.018 -0.170 3.100 0.316 1.967
## 262 4.000 -1.430 0.318 0.000 3.920 1.004 2.737
## 263 12.000 -2.050 0.004 0.000 3.450 0.531 3.089
## 264 2.000 -2.575 0.010 -0.010 3.425 0.271 2.070
## 265 2.000 -2.870 0.290 0.000 4.250 0.141 2.280
## 266 1.500 -3.590 0.096 0.040 4.060 0.007 2.070
## 267 3.000 -2.475 0.707 0.000 4.475 0.446 2.099
## 268 4.000 -1.320 0.228 0.000 1.900 0.892 3.157
## 269 11.000 -2.130 0.145 0.000 2.890 0.292 2.596
## 270 2.000 -1.765 0.195 0.000 2.965 0.786 3.221
## 271 4.000 -1.660 0.080 -0.045 3.670 1.325 4.692
## 272 4.000 -1.160 0.261 0.040 3.390 1.343 5.108
## 273 2.000 -1.400 0.580 0.000 5.350 1.227 3.381
## 274 2.000 -2.480 -0.034 -0.150 3.060 0.363 2.039
## 275 2.000 -1.850 -0.140 -0.205 2.220 0.434 3.274
## 276 6.000 -2.710 -0.165 0.000 3.430 0.358 3.018
## 277 2.000 -2.650 0.153 0.015 2.820 0.023 4.417
## 278 2.000 -1.430 0.148 0.020 2.150 0.215 2.339
## 279 Inf -1.055 0.219 0.180 2.500 0.897 5.315
## 280 2.000 -2.440 0.030 0.065 2.780 -0.237 3.638
## 281 2.000 -5.380 -0.537 0.162 2.140 -0.893 2.860
## 282 2.000 -0.680 0.078 0.150 0.790 -0.134 1.879
## 283 2.000 -1.015 0.133 0.120 1.205 -0.071 2.151
## 284 2.000 -1.970 -0.045 0.110 0.920 -0.864 3.112
## 285 2.000 -2.060 0.142 0.185 1.740 -0.288 3.046
## 286 2.000 -4.950 -0.234 0.240 4.680 -0.330 1.688
## 287 1.500 -2.715 0.311 0.245 3.955 0.113 2.136
## 288 2.000 -1.180 0.080 0.030 1.280 -0.125 2.941
## 289 2.000 -2.190 0.237 0.085 3.140 0.248 3.351
## 290 2.000 -3.690 0.140 0.085 3.120 -0.416 5.146
## 291 7.000 -1.760 0.087 0.000 2.670 0.583 3.841
## 292 2.000 -0.475 0.079 0.010 1.330 1.237 5.289
## 293 Inf -1.240 0.218 0.015 2.805 0.937 4.374
## 294 2.000 -1.050 0.113 0.020 2.250 0.693 3.768
## 295 4.000 -1.880 0.029 0.000 3.330 0.957 3.741
## 296 2.000 -1.940 0.132 -0.125 3.440 0.665 3.723
## 297 Inf -1.530 0.123 0.070 1.860 0.302 3.415
## 298 2.000 -1.620 0.075 0.050 1.560 -0.124 2.808
## 299 2.000 -1.505 0.081 0.100 0.725 -1.162 5.551
## 300 2.000 -4.040 -0.095 0.050 2.070 -1.342 6.979
## 301 Inf -4.315 -0.162 0.162 2.835 -0.875 3.940
## 302 1.500 -4.952 -0.027 0.212 1.587 -2.531 12.441
## 303 2.000 -0.580 0.080 0.065 0.810 0.038 2.498
## 304 2.000 -1.050 0.082 0.070 1.590 0.358 5.291
## 305 2.000 -1.585 0.100 0.125 2.145 0.095 4.778
## 306 Inf -2.815 0.140 0.175 2.105 -0.489 3.070
## 307 2.000 -0.965 0.008 0.000 0.965 -0.205 2.432
## 308 2.000 -1.920 0.238 0.105 2.910 0.594 4.552
## 309 Inf -1.290 0.349 0.035 3.630 1.188 4.619
## 310 2.000 -1.260 0.101 0.260 1.200 -0.366 1.967
## 311 1.500 -0.910 0.121 0.125 0.890 -0.391 2.203
## 312 2.000 -0.800 0.035 0.050 0.680 -0.510 2.713
## 313 2.000 -1.870 -0.042 0.020 1.930 0.030 4.824
## 314 2.000 -1.970 0.036 0.055 1.610 -0.706 4.817
## 315 2.000 -1.000 0.109 0.100 0.850 -0.324 2.630
## 316 2.000 -1.070 0.045 0.080 0.990 -0.019 2.801
## 317 2.000 -2.010 0.154 0.005 2.260 0.354 2.575
## 318 Inf -1.890 0.171 0.165 2.890 0.390 2.563
## 319 2.000 -1.360 0.320 0.258 2.010 0.101 2.504
## 320 2.000 -1.020 0.000 0.000 1.070 -0.141 2.571
## 321 1.500 -0.730 0.017 0.000 1.040 0.558 3.000
## 322 2.000 -3.785 -0.336 0.015 1.250 -1.172 4.224
## 323 2.000 -2.540 0.033 0.265 2.020 -0.605 2.434
## 324 1.500 -2.315 0.088 0.000 2.465 -0.073 1.924
## 325 2.000 -2.680 -0.083 0.015 1.860 -0.177 2.642
## 326 2.000 -1.925 -0.001 -0.005 2.675 0.230 3.642
## 327 2.000 -2.018 0.015 0.008 3.082 0.527 4.524
## 328 2.000 -2.750 0.038 0.020 3.680 0.345 4.352
## 329 2.000 -2.665 -0.273 0.000 1.575 -0.654 2.530
## 330 1.500 -0.965 0.131 0.090 2.195 0.993 5.291
## 331 2.000 -1.250 0.152 0.170 1.640 0.326 2.283
## 332 2.000 -1.160 0.069 0.160 1.060 -0.330 2.587
## 333 2.000 -1.040 0.029 0.060 1.640 0.332 3.423
## 334 Inf -0.630 0.050 0.073 0.950 0.196 2.159
## 335 1.500 -1.310 0.125 0.060 2.340 0.893 4.451
## 336 2.000 -1.725 0.213 -0.025 4.035 1.156 4.076
## 337 2.000 -2.310 0.178 -0.075 4.120 1.077 3.977
## 338 2.000 -0.570 0.086 0.000 1.580 0.947 4.294
## 339 2.000 -3.240 -0.389 -0.195 1.665 -0.499 2.447
## 340 Inf -1.820 -0.178 -0.262 1.610 0.011 1.997
## 341 2.000 -0.955 -0.035 -0.060 1.395 0.690 3.963
## 342 2.000 -0.815 0.039 -0.020 1.185 0.382 2.480
## 343 2.000 -1.135 0.025 0.085 1.095 -0.379 3.287
## 344 2.000 -0.930 0.052 0.090 1.330 -0.020 2.449
## 345 2.000 -1.315 0.107 0.070 2.420 0.618 3.800
## 346 2.000 -1.125 -0.049 -0.023 0.805 -0.293 3.097
## 347 2.000 -0.878 -0.001 -0.043 1.052 0.391 3.013
## 348 2.000 -0.980 -0.014 -0.030 1.160 0.336 2.487
## 349 2.000 -1.520 0.024 0.030 1.120 -0.421 2.680
## 350 Inf -1.330 0.155 0.065 1.250 -0.194 2.438
## 351 2.000 -1.430 -0.083 -0.002 1.070 -0.010 2.464
## 352 2.000 -1.775 0.019 0.045 1.525 -0.157 2.450
## 353 1.500 -0.715 0.103 0.075 1.115 0.205 2.605
## 354 2.000 -0.670 0.101 0.020 1.000 0.439 2.410
## 355 2.000 -0.850 0.108 0.015 1.410 0.390 2.347
## 356 2.000 -0.735 0.039 -0.045 0.830 0.214 2.407
## 357 2.000 -0.930 0.046 0.015 0.930 -0.116 2.314
## 358 2.000 -1.260 -0.027 -0.005 1.830 0.445 2.600
## 359 2.000 -0.865 -0.022 -0.030 0.915 0.116 2.262
## 360 1.500 -1.235 -0.091 0.005 0.750 -0.534 2.973
## 361 2.000 -3.485 -0.051 0.022 0.975 -2.691 14.032
## 362 1.500 -3.588 -0.375 -0.202 2.203 -0.256 2.814
## 363 2.000 -0.985 0.005 -0.060 1.275 0.218 2.606
## 364 2.000 -1.930 0.009 0.045 0.920 -0.907 5.337
## 365 2.000 -1.040 -0.025 0.010 0.960 -0.001 2.166
## 366 2.000 -1.130 0.223 0.095 2.130 0.731 3.464
## 367 1.500 -0.930 0.071 -0.005 1.490 0.801 4.629
## 368 1.500 -0.670 0.020 0.000 0.590 0.070 2.378
## 369 2.000 -0.940 0.019 0.045 1.130 0.087 3.705
## 370 2.000 -0.637 0.021 -0.002 1.062 0.825 4.402
## 371 2.000 -0.835 0.184 0.000 2.005 0.675 2.782
## 372 2.000 -0.900 0.123 0.005 1.800 0.503 2.332
## 373 2.000 -2.275 0.128 0.013 3.215 0.633 5.222
## 374 2.500 -0.555 0.231 0.050 1.925 1.545 5.004
## 375 2.000 -1.175 0.076 0.030 1.645 0.287 3.450
## 376 1.500 -0.560 -0.005 -0.025 1.030 0.876 3.689
## 377 2.000 -0.820 -0.025 -0.063 0.990 0.335 2.702
## 378 2.000 -0.815 -0.009 -0.015 1.000 0.290 2.660
## 379 2.000 -0.850 -0.025 0.000 1.560 1.100 6.564
## 380 5.500 -1.140 -0.031 0.000 1.910 0.775 6.515
## 381 2.500 -3.500 -0.279 0.000 1.600 -0.856 3.425
## 382 1.500 -1.670 0.091 0.152 2.160 -0.176 2.853
## 383 2.000 -1.128 -0.024 -0.005 1.012 -0.250 3.249
## 384 1.500 -1.600 -0.072 0.020 1.100 -0.925 4.268
## 385 1.500 -0.880 0.004 -0.045 1.540 0.870 3.599
## 386 2.000 -0.715 0.033 -0.050 1.535 1.009 4.650
## 387 2.000 -1.370 0.175 0.142 2.350 1.072 5.262
## 388 2.000 -1.390 0.054 0.015 1.590 0.454 5.293
## 389 1.500 -1.125 -0.053 0.000 0.895 -0.251 2.901
## 390 2.500 -2.550 -0.050 0.000 2.420 0.097 3.216
## 391 2.000 -3.940 -0.199 -0.120 2.870 -0.198 2.809
## 392 2.000 -2.220 -0.046 -0.165 1.870 0.207 2.503
## 393 Inf -1.420 -0.029 -0.075 1.620 0.286 2.394
## 394 7.000 -1.960 -0.083 0.000 2.670 0.343 3.030
## 395 1.500 -1.230 -0.073 -0.005 1.440 0.267 3.810
## 396 2.000 -0.620 0.039 0.005 1.430 1.173 5.863
## 397 3.000 -1.860 0.243 0.000 4.660 1.567 5.235
## 398 3.000 -2.160 -0.032 0.000 1.790 -0.349 2.811
## 399 2.000 -1.705 -0.031 0.035 0.915 -0.857 4.719
## 400 1.500 -1.450 -0.091 0.010 1.020 -0.562 3.404
## 401 2.000 -1.225 0.008 0.150 1.685 0.017 2.646
## 402 2.000 -1.265 0.008 0.120 1.585 -0.075 2.526
## 403 1.500 -1.330 -0.023 0.070 1.940 0.194 4.876
## 404 6.000 -0.700 0.267 0.000 4.410 2.278 7.836
## 405 5.000 -1.770 0.260 0.000 3.070 0.606 2.743
## 406 2.000 -2.500 -0.125 -0.020 2.110 -0.407 4.195
## 407 2.000 -1.910 -0.091 -0.050 2.750 0.370 4.173
## 408 3.000 -0.950 0.087 0.048 1.740 0.764 4.701
## 409 2.000 -1.025 0.045 0.000 2.235 1.327 6.219
## 410 3.500 -1.085 0.192 0.000 5.125 2.416 10.672
## 411 5.500 -0.830 0.098 0.000 3.070 2.072 9.975
## 412 3.500 -1.100 0.325 0.000 8.040 4.309 24.673
## 413 2.500 -0.855 0.064 0.000 2.555 2.213 12.704
## 414 Inf -0.690 0.153 0.020 2.740 1.779 7.337
## 415 4.000 -1.010 0.056 0.000 2.660 2.100 11.020
## 416 2.000 -0.625 0.120 0.025 1.565 0.939 4.164
## 417 Inf -1.005 0.068 0.015 1.445 0.254 2.873
## 418 1.500 -1.420 -0.025 0.000 1.700 0.208 3.202
## 419 2.000 -1.490 -0.050 -0.023 1.570 -0.023 4.100
## 420 2.000 -0.880 0.029 0.000 1.570 0.836 4.240
## 421 2.000 -0.840 -0.003 -0.010 1.470 0.675 4.407
## 422 2.000 -0.790 0.085 -0.005 1.890 1.093 6.465
## 423 1.500 -0.810 0.041 -0.005 1.270 0.556 4.862
## 424 1.500 -0.655 -0.008 -0.035 1.625 1.383 6.363
## 425 3.500 -1.560 0.063 0.000 2.730 1.028 4.403
## 426 2.000 -1.330 0.042 0.065 2.640 1.515 9.380
## 427 2.000 -0.985 0.147 0.015 2.645 1.721 7.833
## 428 2.000 -1.145 -0.060 -0.075 1.825 0.661 2.857
## 429 2.000 -1.240 0.026 -0.110 2.650 1.288 4.838
## 430 5.500 -1.120 0.030 0.000 2.840 2.069 9.400
## 431 Inf -1.650 0.130 0.035 3.020 0.502 3.480
## 432 1.500 -1.030 -0.029 0.000 0.680 -0.280 3.028
## 433 2.000 -0.890 -0.018 0.060 0.710 -0.363 3.230
## 434 2.000 -0.775 0.101 0.040 1.495 0.524 2.858
## 435 2.000 -0.925 0.071 0.055 1.415 0.476 3.214
## 436 2.000 -1.030 -0.094 -0.040 1.060 0.230 3.593
## 437 1.500 -0.655 -0.022 0.000 0.800 0.142 2.143
## 438 2.000 -1.360 0.016 0.000 1.610 0.424 3.855
## 439 2.000 -1.065 -0.004 0.025 1.425 0.313 2.598
## 440 1.500 -0.920 0.005 0.000 1.470 0.613 5.494
## 441 2.000 -1.510 0.041 -0.020 1.780 0.138 2.538
## 442 2.000 -1.665 0.025 0.045 2.155 0.771 7.619
## 443 2.000 -1.580 0.137 0.060 2.180 0.503 6.041
## 444 2.000 -1.870 0.197 0.275 3.130 0.364 4.519
## 445 1.500 -1.760 0.135 0.190 3.270 0.741 5.182
## 446 2.000 -1.290 -0.027 -0.005 1.490 0.325 3.248
## 447 1.500 -0.795 -0.014 -0.013 1.035 0.559 3.533
## 448 1.333 -0.820 0.155 0.025 1.210 0.479 3.306
## 449 2.000 -0.970 0.138 0.115 1.790 0.600 3.116
## 450 5.000 -1.560 -0.084 0.000 1.170 -0.529 2.817
## 451 2.000 -0.925 -0.063 -0.065 1.095 0.272 2.588
## 452 2.000 -0.615 0.026 -0.027 1.065 0.502 2.421
## 453 2.000 -1.065 -0.029 -0.090 1.065 0.255 2.750
## 454 1.500 -1.085 -0.023 -0.015 1.515 0.465 3.439
## 455 Inf -0.995 0.081 -0.010 1.655 0.627 3.157
## 456 2.000 -1.310 0.025 -0.050 1.410 0.205 2.960
## 457 2.000 -1.430 -0.008 0.005 1.790 0.157 3.535
## 458 2.000 -0.955 -0.021 0.012 1.135 -0.053 3.264
## 459 2.000 -0.735 0.019 0.020 0.925 0.146 3.084
## 460 2.000 -1.260 -0.009 -0.035 0.990 -0.166 2.341
## 461 2.000 -0.850 -0.022 -0.030 0.950 0.034 2.501
## 462 2.000 -0.670 -0.014 0.000 0.870 0.281 3.107
## 463 1.500 -0.755 0.006 0.010 1.285 0.339 4.364
## 464 2.000 -0.885 -0.010 -0.080 1.365 0.571 3.798
## 465 2.000 -0.950 0.092 0.005 1.225 0.590 3.291
## 466 1.500 -1.020 0.012 0.000 0.930 -0.164 3.357
## 467 2.000 -1.100 -0.056 -0.025 1.260 0.065 3.155
## 468 2.000 -1.065 0.029 -0.010 0.935 0.073 2.879
## 469 2.000 -1.040 0.019 0.005 0.780 -0.353 2.584
## 470 2.000 -1.070 0.056 0.000 1.480 0.256 3.397
## 471 2.000 -6.120 -0.113 0.065 2.520 -2.075 9.975
## 472 2.000 -6.100 -0.249 0.050 2.560 -1.895 7.360
## 473 3.500 -1.880 -0.008 0.000 1.510 -0.439 6.729
## 474 2.000 -1.310 0.019 0.000 2.820 1.229 7.873
## 475 2.000 -0.950 0.079 0.125 1.220 -0.155 2.506
## 476 2.000 -1.120 0.044 0.172 0.880 -0.880 3.621
## 477 1.500 -1.080 0.042 0.068 0.900 -0.722 4.042
## 478 2.000 -4.420 -0.098 -0.005 1.030 -2.734 13.759
## 479 2.000 -0.795 -0.010 0.000 0.935 0.114 2.340
## 480 2.000 -1.300 -0.055 0.000 0.730 -0.903 3.700
## 481 2.500 -2.545 0.073 0.100 2.470 -0.380 2.670
## 482 2.000 -0.660 0.127 0.135 0.870 -0.179 2.624
## 483 2.000 -1.040 -0.015 0.015 0.970 -0.324 2.917
## 484 1.500 -0.960 -0.062 -0.070 1.060 0.017 3.379
## 485 2.000 -1.560 -0.105 -0.005 0.800 -0.983 3.284
## 486 2.000 -1.305 0.038 0.065 1.055 -0.419 2.946
## 487 2.000 -1.075 -0.013 -0.025 1.110 0.020 2.407
## 488 2.000 -1.370 0.087 0.000 1.585 0.084 3.564
## 489 Inf -1.040 0.098 -0.008 1.555 0.303 2.694
## 490 1.500 -1.960 -0.013 0.000 1.400 -0.765 5.686
## 491 2.000 -1.275 0.169 0.170 2.035 0.324 3.564
## 492 2.000 -0.880 0.022 0.015 1.170 0.100 3.140
## 493 2.000 -1.065 0.029 0.020 0.835 -0.583 3.107
## 494 2.000 -0.990 -0.006 0.000 0.800 -0.274 2.416
## 495 2.000 -1.315 -0.089 -0.030 1.350 0.071 3.108
## 496 1.500 -1.480 0.125 0.155 2.120 0.345 2.999
## 497 2.000 -0.815 0.106 0.095 1.440 0.674 4.039
## 498 2.000 -0.752 0.084 0.058 1.308 0.768 4.352
## 499 2.000 -1.350 0.025 0.050 1.210 -0.239 3.648
## 500 2.000 -1.403 0.040 0.068 1.232 -0.352 3.732
## 501 2.000 -1.480 0.021 0.023 1.120 -0.496 3.634
## 502 2.000 -1.410 -0.025 0.010 1.000 -0.512 3.548
## 503 2.000 -1.315 0.058 0.155 0.990 -0.554 3.416
## 504 2.000 -0.855 0.085 0.050 1.205 0.180 2.901
## 505 2.000 -1.105 0.005 0.000 0.855 -0.336 2.935
## 506 2.000 -1.095 -0.023 0.015 1.045 -0.214 2.830
## 507 2.000 -0.925 0.059 0.040 0.905 -0.198 2.585
## 508 2.000 -0.710 0.032 0.045 0.840 0.064 2.080
## 509 2.000 -0.990 -0.044 0.000 1.140 0.197 2.353
## 510 1.500 -0.740 0.006 -0.005 0.540 -0.341 2.573
## 511 2.000 -0.830 -0.064 -0.030 0.520 -0.746 3.431
## 512 2.000 -1.125 -0.025 -0.055 0.875 0.037 3.598
## 513 2.500 -0.860 0.014 -0.010 3.610 3.489 19.111
## 514 1.500 -1.620 0.050 0.040 1.440 -0.534 7.424
## 515 6.000 -3.620 -0.179 0.000 3.345 -0.299 2.194
## 516 2.000 -3.800 -0.462 -0.130 1.840 -0.503 2.106
## 517 2.000 -5.215 -0.395 -0.025 0.925 -2.446 8.500
## 518 1.667 -1.070 -0.005 0.000 1.580 0.350 4.220
## 519 3.000 -1.740 0.363 -0.010 4.800 1.312 4.304
## 520 5.500 -0.770 0.295 0.000 4.110 2.168 7.050
## 521 1.500 -1.040 0.003 0.000 0.640 -0.435 4.018
## 522 4.500 -1.375 -0.007 0.000 1.495 0.161 6.797
## 523 2.000 -1.170 -0.060 -0.050 1.190 -0.071 2.988
## 524 2.000 -1.510 -0.119 -0.020 0.670 -0.733 3.031
## 525 2.000 -1.890 0.007 0.140 1.110 -0.794 3.567
## 526 1.500 -1.600 -0.053 0.120 0.850 -0.744 2.776
## 527 2.000 -0.825 0.118 -0.002 1.755 0.914 3.547
## 528 2.000 -1.185 -0.063 -0.080 1.065 -0.020 2.384
## 529 1.500 -1.510 -0.153 -0.150 0.920 -0.014 2.281
## 530 2.000 -1.310 -0.033 -0.030 1.300 0.106 2.269
## 531 2.000 -1.795 -0.016 -0.005 0.785 -1.055 6.420
## 532 2.000 -1.250 -0.103 -0.080 1.060 0.015 2.371
## 533 1.500 -1.110 -0.024 -0.025 0.900 -0.203 3.973
## 534 2.000 -0.935 0.011 -0.020 1.055 0.014 2.623
## 535 2.000 -0.940 -0.065 -0.067 1.340 0.570 3.449
## 536 1.500 -0.900 -0.022 -0.015 1.260 0.523 3.033
## 537 2.000 -1.120 0.014 0.000 1.310 0.380 3.700
## 538 2.000 -1.150 0.013 0.005 1.070 0.056 2.547
## 539 2.000 -0.880 -0.045 -0.025 1.140 0.408 2.814
## 540 2.000 -0.780 0.145 0.025 1.230 0.646 2.859
## 541 2.000 -0.785 -0.075 -0.010 0.650 -0.227 3.145
## 542 1.500 -0.450 -0.025 -0.050 0.730 0.683 2.953
## 543 1.500 -1.070 -0.025 -0.005 0.810 -0.512 3.636
## 544 1.500 -0.605 0.060 0.040 0.845 0.592 3.721
## 545 2.000 -0.710 0.149 0.035 1.000 0.183 1.951
## 546 2.000 -0.680 0.079 0.000 1.040 0.471 2.933
## 547 2.000 -1.120 -0.019 -0.020 1.065 -0.102 3.046
## 548 2.000 -0.880 -0.009 -0.040 0.860 0.229 2.460
## 549 2.000 -1.680 -0.096 -0.060 1.280 -0.250 3.079
## 550 2.000 -0.640 -0.057 -0.048 0.980 0.787 5.145
## 551 2.000 -1.005 -0.075 -0.095 1.175 0.258 3.969
## 552 2.000 -1.930 -0.076 -0.095 1.230 -0.413 3.344
## 553 2.000 -1.560 -0.230 -0.185 1.140 -0.085 2.806
## 554 2.000 -1.335 -0.025 -0.075 1.075 -0.015 2.697
## 555 1.500 -0.545 0.007 -0.060 0.895 0.957 4.523
## 556 1.500 -1.125 -0.084 -0.100 1.370 0.463 4.072
## 557 2.000 -1.485 -0.067 0.000 0.625 -0.813 3.542
## 558 2.000 -0.680 0.019 -0.075 0.660 -0.008 1.930
## 559 1.500 -0.750 0.041 0.020 0.780 0.023 2.148
## 560 2.000 -0.690 -0.065 0.000 0.420 -0.491 2.290
## 561 11.500 -1.685 -0.059 0.000 1.665 0.117 6.720
## 562 2.000 -1.750 -0.126 -0.050 1.050 -0.350 3.242
## 563 2.000 -0.530 0.054 -0.005 0.870 0.554 2.924
## 564 3.000 -1.010 -0.021 0.000 0.940 -0.062 3.402
## 565 2.000 -2.050 -0.044 0.000 1.460 -0.331 3.255
## 566 1.500 -1.535 0.082 0.117 1.185 -0.452 2.544
## 567 2.000 -1.060 0.090 0.095 1.240 -0.257 2.689
## 568 2.000 -0.870 0.146 0.120 1.180 -0.154 2.486
## 569 2.000 -0.670 0.081 0.095 0.760 -0.122 2.425
## 570 2.000 -0.605 0.077 0.045 0.755 -0.093 3.039
## 571 2.000 -0.855 -0.005 -0.018 1.365 0.864 4.490
## 572 1.500 -1.020 0.101 0.190 0.740 -0.659 3.027
## 573 2.000 -1.110 0.036 0.055 0.700 -0.759 3.220
## 574 3.000 -0.940 0.032 0.062 0.660 -0.688 3.375
## 575 2.000 -1.700 0.079 0.015 1.380 -0.372 4.284
## 576 1.500 -0.800 0.007 0.060 0.960 0.050 2.831
## 577 2.000 -0.935 0.162 0.030 1.405 0.502 2.550
## 578 2.000 -1.730 0.019 0.035 1.190 -0.422 3.688
## 579 2.000 -0.750 -0.028 0.045 0.680 -0.143 1.906
## 580 2.000 -1.375 -0.006 0.022 0.765 -0.609 3.449
## 581 2.000 -0.545 -0.022 -0.018 0.775 0.435 3.469
## 582 1.500 -0.510 -0.005 -0.010 0.440 -0.131 2.137
## 583 2.000 -0.875 0.060 -0.010 1.145 0.423 3.351
## 584 2.000 -0.640 0.075 0.000 0.890 0.435 2.552
## 585 2.000 -0.647 0.004 -0.017 0.823 0.565 3.671
## 586 2.000 -0.680 0.034 0.000 1.100 0.825 3.654
## 587 2.000 -0.595 0.032 -0.015 1.135 1.115 5.067
## 588 2.000 -0.500 0.082 0.095 1.650 1.345 6.953
## 589 2.000 -0.690 0.078 0.000 1.420 0.742 3.492
## 590 1.500 -0.545 0.022 -0.002 0.900 0.471 3.241
## 591 2.000 -0.880 0.182 0.270 1.350 -0.087 2.196
## 592 2.000 -0.560 0.099 0.000 1.820 1.792 6.599
## 593 2.000 -1.142 0.112 0.053 0.998 -0.221 2.561
## 594 2.000 -1.615 0.174 0.022 1.565 -0.164 2.374
## 595 2.000 -1.450 0.064 0.025 1.420 0.046 2.986
## 596 3.500 -1.105 0.121 0.000 1.615 0.665 4.949
## 597 2.000 -1.055 -0.009 0.042 1.795 0.556 4.627
## 598 1.500 -1.000 0.064 0.015 2.320 1.164 5.934
## 599 2.000 -0.910 0.053 0.010 2.010 0.603 3.221
## 600 2.000 -0.860 0.110 0.055 1.440 0.730 4.013
## 601 2.000 -2.030 0.029 0.255 1.400 -0.502 2.181
## 602 2.000 -0.850 0.049 0.070 0.930 0.028 1.878
## 603 2.000 -0.720 0.002 0.020 0.910 -0.042 2.645
## 604 1.500 -2.100 -0.054 0.260 1.170 -0.545 2.128
## 605 1.500 -0.670 0.004 0.000 0.535 -0.031 3.101
## 606 2.000 -2.025 0.113 0.110 2.470 0.018 4.063
## 607 2.000 -2.370 0.109 0.085 1.915 -0.451 5.183
## 608 2.000 -1.030 0.058 0.015 1.240 0.256 3.843
## 609 2.000 -1.390 -0.032 0.000 0.960 -0.297 2.534
## 610 3.000 -1.385 0.041 0.012 1.385 0.190 3.682
## 611 2.000 -1.200 -0.014 0.052 0.650 -0.601 3.569
## 612 2.000 -0.850 0.011 0.010 0.735 -0.314 2.923
## 613 2.000 -1.240 0.108 0.095 1.130 -0.291 2.954
## 614 Inf -1.585 -0.050 0.000 0.875 -0.774 4.341
## 615 2.000 -1.450 0.038 -0.002 0.900 -0.493 3.904
## 616 2.000 -1.610 0.064 0.055 1.170 -0.341 3.826
## 617 2.000 -0.670 0.007 -0.005 1.040 0.470 3.352
## 618 2.000 -0.610 0.019 0.000 0.740 0.122 2.031
## 619 2.000 -1.015 -0.021 -0.038 0.915 -0.005 3.085
## 620 2.000 -1.040 0.058 0.040 1.350 0.238 2.379
## 621 2.000 -1.470 -0.068 -0.015 0.920 -0.331 2.414
## 622 2.000 -1.210 -0.067 0.025 0.740 -0.659 2.709
## 623 2.000 -1.660 0.031 -0.032 1.850 0.230 2.697
## 624 2.000 -2.292 -0.064 0.000 1.438 -0.736 4.809
## 625 2.000 -1.400 -0.053 0.090 1.440 -0.079 2.369
## 626 1.500 -1.055 -0.031 -0.025 1.115 -0.223 2.861
## 627 2.000 -1.440 -0.033 -0.010 0.690 -1.044 5.829
## 628 2.000 -1.805 -0.071 -0.050 0.885 -0.783 5.396
## 629 2.000 -0.620 -0.033 0.015 0.725 0.111 2.492
## 630 2.000 -0.955 0.061 0.005 0.740 -0.377 3.047
## 631 2.000 -0.930 0.046 -0.040 1.200 0.331 2.495
## 632 2.000 -0.690 0.054 0.015 1.010 0.311 2.643
## 633 2.000 -0.950 -0.044 -0.045 0.770 -0.033 2.919
## 634 2.000 -1.500 -0.148 -0.095 0.910 -0.202 3.322
## 635 2.000 -1.220 -0.065 -0.055 0.790 -0.416 2.778
## 636 2.000 -0.975 -0.075 -0.048 0.985 0.357 3.470
## 637 2.000 -0.930 -0.025 0.000 0.925 0.087 2.623
## 638 2.000 -0.940 -0.017 -0.075 1.080 0.163 2.297
## 639 2.000 -1.020 0.071 0.050 1.590 0.409 2.739
## 640 2.000 -1.015 -0.008 0.000 1.665 0.434 3.534
## 641 2.000 -0.925 0.097 -0.005 2.065 0.946 4.237
## 642 2.000 -0.935 0.016 -0.005 1.690 0.752 3.713
## 643 2.000 -1.580 -0.039 -0.020 0.840 -0.425 2.669
## 644 2.000 -1.660 -0.063 -0.010 1.060 -0.325 3.071
## 645 2.000 -0.960 0.093 0.020 1.000 0.108 3.244
## 646 2.000 -1.235 0.064 0.000 1.545 0.356 3.276
## 647 2.000 -0.945 -0.014 -0.010 1.345 0.471 3.372
## 648 2.000 -1.310 -0.098 -0.055 0.720 -0.411 2.821
## 649 2.000 -1.050 -0.006 0.030 0.940 -0.070 3.024
## 650 2.000 -1.275 0.028 0.055 0.885 -0.579 3.799
## 651 1.500 -0.810 -0.015 0.000 0.920 0.099 2.416
## 652 2.000 -1.065 -0.012 -0.002 1.055 -0.023 2.414
## 653 2.000 -0.995 -0.119 -0.165 1.015 0.277 1.942
## 654 1.500 -1.110 -0.043 -0.005 0.630 -0.998 4.646
## 655 2.000 -2.075 0.011 0.020 1.545 -0.836 4.647
## 656 2.000 -0.890 0.135 0.060 2.105 1.222 5.794
## 657 2.000 -1.190 -0.039 0.005 1.000 -0.150 3.166
## 658 1.500 -1.665 0.112 0.100 1.575 0.009 6.151
## 659 2.000 -2.120 0.047 -0.015 1.780 -0.179 4.492
## 660 2.000 -1.330 0.238 0.085 2.470 0.486 3.651
## 661 1.500 -1.230 0.092 0.045 1.510 0.314 4.318
## 662 2.000 -1.100 0.126 0.215 1.260 -0.314 2.982
## 663 1.500 -0.870 0.139 0.200 1.330 0.189 2.648
## 664 2.000 -0.790 0.059 0.005 1.250 0.652 3.653
## 665 2.000 -0.835 0.010 0.003 0.865 -0.041 3.038
## 666 2.000 -1.015 0.036 0.040 1.095 0.103 3.116
## 667 2.000 -0.655 0.091 0.065 1.115 0.623 3.931
## 668 2.000 -0.855 0.222 0.190 2.050 0.690 3.882
## 669 2.000 -1.070 0.128 0.155 1.170 -0.480 2.975
## 670 2.000 -0.835 0.060 0.125 1.110 -0.221 2.440
## 671 1.500 -1.000 0.120 0.120 0.880 -0.563 3.026
## 672 2.000 -1.060 0.043 0.075 0.865 -0.333 2.982
## 673 2.000 -0.870 0.069 0.080 0.950 -0.273 2.427
## 674 1.500 -2.000 0.036 0.090 0.870 -1.251 6.493
## 675 2.000 -1.160 0.100 0.145 1.190 -0.132 2.940
## 676 2.000 -1.610 0.107 0.015 1.860 0.333 3.314
## 677 2.000 -1.910 -0.084 -0.020 0.910 -0.938 4.277
## 678 2.000 -0.850 -0.042 -0.045 0.680 -0.084 2.198
## 679 2.000 -1.390 -0.034 -0.025 0.890 -0.552 3.461
## 680 2.000 -1.005 0.025 0.000 0.785 -0.311 3.203
## 681 2.000 -1.310 0.036 -0.030 0.835 -0.536 3.443
## 682 1.500 -2.655 -0.113 0.025 0.745 -1.677 7.498
## 683 2.000 -1.010 -0.042 0.000 1.360 0.261 2.844
## 684 2.000 -1.000 -0.006 -0.050 1.540 0.464 3.527
## 685 5.000 -0.920 -0.075 -0.010 0.970 -0.033 2.808
## 686 1.500 -1.150 0.009 0.010 1.110 -0.204 3.670
## 687 2.000 -2.050 -0.202 -0.300 1.200 -0.188 3.426
## 688 1.500 -0.930 -0.049 -0.040 0.840 0.022 3.054
## 689 2.000 -0.680 0.027 -0.015 1.000 0.440 2.169
## 690 4.000 -0.900 -0.033 0.000 0.890 -0.013 2.893
## 691 1.500 -0.870 -0.028 -0.160 1.230 0.626 2.881
## 692 1.500 -1.345 -0.076 -0.050 0.740 -0.807 4.053
## 693 1.500 -0.830 -0.027 -0.045 1.150 0.528 3.287
## 694 2.000 -1.360 -0.042 -0.045 1.620 0.625 4.306
## 695 2.000 -0.660 -0.009 -0.010 0.740 0.151 1.897
## 696 2.000 -2.670 -0.170 -0.110 1.500 -0.555 5.341
## 697 2.000 -0.760 0.023 0.000 0.850 0.115 3.570
## 698 1.500 -1.120 -0.008 0.000 1.680 0.700 3.715
## 699 2.000 -1.317 -0.079 0.000 0.973 -0.416 3.662
## 700 1.500 -0.570 -0.002 -0.010 0.810 0.252 2.825
## 701 2.000 -1.000 0.004 0.000 1.310 0.311 3.881
## 702 2.000 -0.670 -0.006 -0.055 0.950 0.525 2.308
## 703 2.000 -0.980 0.095 0.035 1.510 0.512 3.201
## 704 2.000 -1.125 0.014 0.030 1.045 -0.225 3.093
## 705 2.000 -1.535 -0.080 -0.035 0.825 -0.931 4.319
## 706 1.500 -2.100 0.077 0.120 2.020 -0.276 2.564
## 707 2.000 -0.590 -0.030 0.005 0.350 -0.420 2.676
## 708 2.000 -0.590 0.039 -0.005 1.630 1.526 6.487
## 709 2.000 -0.930 0.019 -0.050 1.120 0.312 2.781
## 710 Inf -1.360 0.088 0.105 1.390 0.036 2.701
## 711 Inf -1.175 0.070 -0.030 1.515 0.342 2.811
## 712 1.500 -1.290 0.090 0.113 1.540 0.076 2.471
## 713 Inf -0.980 0.009 -0.020 0.740 -0.353 3.383
## 714 2.000 -1.230 0.146 0.185 1.220 -0.047 2.101
## 715 2.000 -1.090 -0.009 0.000 1.020 -0.222 3.673
## 716 2.000 -0.535 0.034 0.030 1.045 0.693 3.732
## 717 2.000 -2.700 -0.114 0.005 1.680 -1.191 5.270
## 718 1.500 -0.750 0.064 -0.025 1.100 0.497 2.405
## 719 2.000 -0.830 0.024 0.000 1.020 0.180 2.504
## 720 Inf -0.890 0.021 0.015 0.960 0.209 2.752
## 721 2.000 -0.690 0.018 -0.055 0.890 0.377 3.007
## 722 2.000 -0.825 0.006 0.010 1.155 0.244 2.809
## 723 2.000 -0.640 0.064 0.010 1.250 0.635 2.941
## 724 2.000 -0.670 0.078 0.000 1.260 0.688 3.581
## 725 2.000 -0.720 0.012 -0.010 0.710 -0.109 2.140
## 726 1.500 -1.465 -0.036 -0.015 0.535 -1.320 6.317
## 727 3.000 -0.640 0.014 0.010 0.830 0.228 2.490
## 728 2.000 -0.735 -0.001 -0.010 0.905 0.059 2.840
## 729 2.000 -0.790 0.058 0.025 0.950 0.107 2.378
## 730 Inf -1.070 -0.067 -0.030 0.780 -0.399 2.871
## 731 1.500 -1.290 0.103 0.000 1.550 0.278 2.887
## 732 1.500 -1.200 0.078 -0.030 1.390 0.260 2.767
## 733 1.500 -0.535 0.132 0.115 1.125 0.486 3.122
## 734 2.000 -0.740 -0.066 0.000 0.870 0.184 3.136
## 735 2.000 -1.000 0.060 0.025 1.580 0.705 3.977
## 736 1.500 -0.960 -0.100 -0.060 1.350 0.480 4.974
## 737 1.500 -0.850 0.039 0.095 0.730 -0.277 2.672
## 738 2.000 -0.950 0.024 -0.005 0.685 -0.207 2.644
## 739 2.000 -1.180 -0.064 0.000 0.535 -0.748 3.146
## 740 2.000 -0.733 -0.011 0.027 0.977 0.052 2.430
## 741 2.000 -0.835 -0.002 0.020 0.755 -0.166 2.271
## 742 2.000 -0.730 0.008 -0.070 1.050 0.425 2.350
## 743 1.500 -0.710 0.005 -0.015 1.220 0.603 2.712
## 744 2.000 -0.608 0.017 0.008 0.812 0.299 2.759
## 745 2.000 -0.835 0.020 0.045 1.095 0.153 2.297
## 746 2.000 -0.890 -0.061 -0.110 1.080 0.479 3.477
## 747 2.000 -2.290 -0.042 0.000 0.750 -2.038 9.969
## 748 2.000 -2.640 -0.011 0.030 2.000 -0.555 3.140
## 749 2.000 -1.010 0.028 0.045 1.000 -0.069 3.231
## 750 1.500 -1.250 -0.019 -0.010 0.960 -0.238 3.506
## 751 2.000 -2.683 -0.021 -0.023 1.617 -0.520 4.691
## 752 2.000 -0.950 -0.001 0.030 1.220 0.037 2.293
## 753 5.500 -1.965 0.298 0.000 5.995 1.466 5.642
## 754 11.000 -1.370 0.358 0.000 5.540 2.138 6.663
## 755 16.000 -1.500 0.447 0.000 5.790 2.352 7.345
## 756 6.000 -3.330 0.215 0.000 4.340 1.354 6.303
## 757 2.000 -1.100 0.003 0.000 1.150 0.125 4.221
## 758 2.000 -0.710 -0.038 -0.050 0.650 -0.113 3.078
## 759 1.500 -0.950 -0.036 0.000 1.180 0.634 4.007
## 760 2.000 -1.010 -0.077 -0.040 1.020 -0.110 3.447
## 761 2.000 -0.855 0.001 0.115 1.065 -0.094 2.464
## 762 1.500 -0.895 0.082 0.015 0.800 -0.003 2.096
## 763 2.000 -1.000 0.067 -0.025 1.300 0.619 2.944
## 764 2.000 -1.100 0.005 -0.005 1.020 -0.017 2.704
## 765 Inf -1.335 0.044 0.085 0.905 -0.585 4.142
## 766 2.000 -1.760 -0.062 -0.010 0.620 -1.486 7.368
## 767 1.333 -1.640 -0.140 0.000 0.610 -1.499 5.424
## 768 2.000 -1.500 -0.138 -0.048 0.895 -0.372 3.328
## 769 2.000 -1.112 -0.025 -0.033 1.258 0.276 4.033
## 770 1.500 -0.530 0.020 -0.047 1.035 0.833 3.761
## 771 1.500 -0.570 -0.021 -0.050 1.050 0.889 4.474
## 772 4.500 -1.620 -0.041 0.000 0.960 -0.514 4.486
## 773 2.000 -0.920 -0.009 0.000 0.760 -0.224 2.625
## 774 1.500 -0.980 -0.028 -0.020 1.065 0.229 3.698
## 775 2.000 -1.220 -0.092 -0.035 0.570 -0.592 3.921
## 776 2.000 -1.450 -0.035 0.000 1.020 -0.237 2.307
## 777 1.500 -0.860 -0.111 -0.060 0.580 -0.088 2.387
## 778 1.500 -1.160 -0.116 0.000 1.000 -0.020 2.714
## 779 1.500 -0.940 -0.128 -0.125 0.605 -0.062 2.614
## 780 2.000 -0.800 -0.093 -0.080 0.710 0.009 3.304
## 781 2.000 -0.790 -0.077 -0.048 0.435 -0.511 2.639
## 782 2.000 -1.000 -0.084 -0.005 0.640 -0.348 2.310
## 783 2.000 -0.870 -0.006 0.060 0.980 -0.116 2.264
## 784 2.000 -0.703 -0.039 -0.004 0.507 -0.326 2.361
## 785 1.500 -0.485 -0.007 0.000 0.565 0.063 2.604
## 786 2.000 -0.940 -0.120 -0.095 0.380 -0.440 2.485
## 787 2.000 -0.825 -0.034 -0.020 1.040 0.759 4.917
## 788 2.000 -1.485 -0.109 -0.075 0.760 -0.738 3.532
## 789 1.500 -1.715 -0.019 -0.015 0.650 -2.109 12.681
## 790 2.000 -0.960 -0.043 -0.075 0.830 0.137 2.630
## 791 2.000 -1.550 0.016 0.000 1.320 -0.186 4.437
## 792 2.000 -1.300 -0.050 -0.050 0.940 -0.196 2.451
## 793 1.500 -2.290 0.001 0.010 0.770 -2.302 12.397
## 794 1.500 -1.800 -0.096 0.000 0.870 -0.865 4.367
## 795 2.000 -1.220 -0.060 -0.100 0.970 -0.036 2.963
## 796 2.000 -2.850 -0.169 -0.045 1.010 -1.441 7.172
## 797 2.000 -2.360 -0.120 -0.065 0.840 -1.955 11.159
## 798 2.000 -3.995 -0.224 -0.090 0.635 -2.905 13.906
## 799 1.500 -1.450 -0.093 -0.040 0.630 -0.810 4.272
## 800 2.000 -2.215 -0.206 -0.040 0.755 -1.147 4.701
## 801 2.000 -1.550 -0.233 -0.265 1.030 -0.074 2.082
## 802 2.000 -2.485 -0.054 -0.095 1.640 -0.189 3.273
## 803 2.000 -0.970 -0.041 -0.048 0.540 -0.667 4.035
## 804 2.000 -0.960 -0.187 -0.170 0.625 0.122 2.138
## 805 2.000 -0.760 0.007 -0.050 0.795 0.149 3.159
## 806 2.000 -3.390 -0.766 -0.350 1.540 -0.523 2.199
## 807 2.000 -0.990 0.018 0.000 1.330 0.289 2.706
## 808 2.000 -1.520 -0.080 0.000 1.280 -0.217 3.393
## 809 2.000 -1.000 0.030 -0.025 1.310 0.206 4.135
## 810 2.000 -0.590 0.060 -0.040 0.980 0.468 2.488
## 811 2.500 -0.645 0.053 0.000 1.095 0.337 3.044
## 812 Inf -2.533 -0.086 0.045 0.887 -1.070 4.118
## 813 1.500 -0.940 -0.011 -0.090 1.080 0.162 3.107
## 814 1.333 -1.010 -0.155 -0.220 0.660 -0.023 2.000
## 815 2.000 -1.055 -0.106 -0.060 0.595 -0.495 2.836
## 816 2.000 -1.400 -0.068 -0.010 0.920 -0.311 4.529
## 817 2.000 -1.238 0.096 -0.001 1.622 0.262 3.401
## 818 2.000 -0.970 -0.099 -0.055 1.100 0.099 3.335
## 819 Inf -1.470 0.118 0.115 1.560 -0.038 3.669
## 820 2.000 -1.190 -0.002 0.000 0.930 -0.189 3.156
## 821 1.333 -0.810 -0.044 -0.030 1.310 0.932 5.085
## 822 2.000 -1.420 -0.060 -0.022 1.060 -0.491 3.962
## 823 2.000 -1.575 -0.055 -0.015 1.315 -0.590 5.292
## 824 2.000 -1.360 0.012 -0.060 1.310 0.160 2.692
## 825 2.000 -0.930 0.005 -0.030 1.320 0.528 2.645
## 826 2.000 -1.278 -0.129 0.000 0.672 -0.349 2.050
## 827 2.000 -1.380 -0.061 0.010 1.110 -0.277 3.106
## 828 2.000 -1.370 -0.105 -0.030 0.950 -0.141 2.483
## 829 4.000 -2.110 -0.067 0.000 1.920 0.083 3.485
## 830 1.500 -0.860 -0.044 -0.025 0.710 -0.012 2.355
## 831 2.000 -1.630 -0.092 -0.003 0.900 -0.856 4.050
## 832 2.000 -1.015 0.043 0.000 1.325 0.520 3.909
## 833 1.500 -1.270 0.012 -0.075 0.930 -0.146 3.055
## 834 2.000 -1.175 0.023 -0.040 0.845 -0.099 2.697
## 835 2.000 -1.595 -0.022 -0.048 1.685 0.262 2.466
## 836 2.000 -1.720 0.034 0.035 1.670 -0.162 2.981
## 837 2.000 -1.260 0.020 -0.020 1.510 0.105 3.861
## 838 1.500 -1.055 -0.045 0.020 0.635 -0.416 3.917
## 839 2.000 -1.830 -0.110 -0.045 1.300 -0.526 3.622
## 840 2.000 -2.785 -0.084 -0.075 2.405 -0.109 6.604
## 841 2.000 -1.590 -0.083 -0.040 0.740 -0.857 4.639
## 842 2.000 -0.670 -0.046 -0.055 1.050 0.703 3.438
## 843 2.000 -1.420 -0.072 -0.045 1.190 -0.279 2.928
## 844 2.000 -1.500 -0.084 0.000 0.980 -0.323 3.109
## 845 2.000 -1.200 0.053 0.015 1.200 -0.055 2.278
## 846 2.000 -0.910 -0.018 0.040 1.340 0.541 3.172
## 847 2.000 -0.890 -0.051 -0.120 1.350 0.439 3.416
## 848 2.000 -1.445 0.021 -0.007 1.145 -0.226 2.988
## 849 2.000 -1.300 -0.016 -0.015 1.030 -0.021 2.742
## 850 2.000 -1.690 -0.122 -0.133 1.510 -0.067 4.879
## 851 Inf -1.070 -0.042 -0.025 0.920 -0.159 2.590
## 852 Inf -2.320 -0.011 -0.105 1.760 -0.042 3.473
## 853 2.000 -1.615 0.042 0.058 1.605 -0.115 3.004
## 854 1.500 -0.685 0.200 0.130 1.305 0.412 2.452
## 855 2.000 -0.670 0.182 0.190 1.250 0.166 2.275
## 856 1.500 -0.730 0.193 0.150 1.220 0.096 2.048
## 857 2.000 -1.085 0.054 0.125 1.135 -0.178 2.320
## 858 2.000 -1.220 0.012 -0.020 1.530 0.210 2.755
## 859 2.000 -0.570 0.120 0.090 1.590 1.125 5.326
## 860 2.000 -1.550 -0.002 -0.020 0.820 -0.643 4.545
## 861 1.500 -0.850 0.078 0.005 0.875 0.007 2.970
## 862 1.500 -1.450 0.024 0.015 0.780 -0.622 3.769
## 863 2.000 -1.040 -0.019 -0.030 0.920 0.053 3.090
## 864 2.000 -1.185 -0.082 -0.030 0.820 -0.461 2.872
## 865 1.500 -1.785 -0.001 0.060 0.880 -0.972 5.140
## 866 1.500 -1.160 -0.052 0.000 0.790 -0.510 2.620
## 867 2.000 -0.460 0.033 0.010 0.970 0.746 2.818
## 868 1.500 -1.750 0.055 0.010 1.650 0.069 4.741
## 869 1.500 -0.830 0.024 0.020 0.990 0.101 2.261
## 870 2.000 -0.720 0.048 0.005 1.400 0.825 3.513
## 871 2.000 -1.055 -0.053 -0.025 0.865 -0.158 3.035
## 872 1.500 -0.790 0.094 0.025 0.990 0.144 2.042
## 873 2.000 -0.975 -0.004 -0.002 1.200 0.253 2.044
## 874 2.000 -0.630 -0.017 -0.035 0.630 0.254 2.505
## 875 2.000 -1.550 -0.065 0.035 0.740 -0.642 3.047
## 876 3.000 -1.170 0.208 0.030 1.910 0.763 3.003
## 877 2.000 -1.560 -0.115 -0.180 1.400 0.120 3.248
## 878 1.500 -0.830 -0.056 -0.070 1.220 0.669 4.130
## 879 2.000 -1.335 -0.133 -0.050 0.855 -0.272 2.537
## 880 2.000 -0.660 -0.045 -0.015 0.960 0.410 2.999
## 881 2.000 -1.270 0.079 0.120 1.215 -0.130 2.916
## 882 2.000 -1.450 -0.127 -0.150 1.700 0.689 3.424
## 883 2.000 -2.060 -0.160 -0.055 1.450 -0.297 3.151
## 884 3.000 -1.630 -0.056 0.000 1.420 -0.443 3.284
## 885 2.000 -2.595 -0.138 -0.035 1.205 -1.058 5.082
## 886 1.333 -1.370 -0.013 0.000 1.120 -0.491 4.737
## 887 2.000 -2.330 -0.067 0.000 1.120 -1.420 6.857
## 888 2.000 -1.950 -0.109 -0.055 1.475 -0.287 3.808
## 889 3.000 -1.580 -0.029 0.000 0.550 -1.516 6.275
## 890 2.000 -1.245 0.088 -0.005 1.755 0.546 2.799
## 891 2.000 -1.445 0.024 -0.050 2.105 0.710 2.991
## 892 2.000 -1.120 0.038 -0.080 1.630 0.682 2.925
## 893 2.000 -1.815 -0.161 -0.040 1.395 -0.034 2.736
## 894 3.000 -1.085 -0.065 -0.045 1.115 -0.068 3.036
## 895 3.000 -1.520 -0.001 0.000 1.590 0.007 2.777
## 896 2.000 -2.360 0.246 0.000 3.600 0.412 2.326
## 897 6.000 -2.650 0.157 0.000 3.100 0.062 2.194
## 898 2.000 -0.905 -0.026 -0.030 1.075 0.272 2.811
## 899 2.000 -1.560 -0.055 0.020 0.925 -0.526 3.774
## 900 2.000 -0.895 -0.059 -0.095 0.945 0.049 2.447
## 901 2.000 -1.330 -0.100 0.000 0.940 -0.298 2.684
## 902 2.000 -1.400 -0.102 -0.015 0.910 -0.352 2.681
## 903 1.500 -1.440 -0.185 -0.050 0.930 -0.407 2.462
## 904 2.000 -2.527 -0.156 -0.005 0.988 -1.115 5.522
## 905 2.000 -1.080 -0.058 0.015 0.880 -0.234 3.190
## 906 2.000 -1.490 0.211 -0.085 4.250 1.712 6.170
## 907 2.000 -1.005 0.023 0.015 1.300 0.312 2.948
## 908 2.000 -1.310 0.033 0.010 1.280 -0.022 3.360
## 909 2.000 -0.905 -0.018 0.030 0.895 -0.258 2.334
## 910 2.000 -0.920 -0.001 -0.045 0.910 0.132 2.404
## 911 2.000 -0.580 -0.031 -0.025 0.790 0.652 2.924
## 912 2.000 -0.800 0.039 0.025 0.840 -0.002 1.784
## 913 2.000 -0.835 0.064 0.010 1.185 0.292 2.053
## 914 2.000 -1.080 -0.003 0.010 1.440 0.153 2.949
## 915 2.000 -0.800 0.001 0.020 0.840 -0.148 3.008
## 916 2.000 -0.960 0.026 0.000 1.210 0.365 3.165
## 917 1.500 -1.230 0.146 0.015 1.570 0.342 3.805
## 918 2.000 -1.330 0.078 0.020 1.150 -0.064 2.644
## 919 2.000 -0.750 0.031 0.045 0.860 -0.042 2.695
## 920 1.500 -0.935 -0.034 0.030 0.760 -0.260 3.008
## 921 1.500 -1.100 -0.062 -0.020 0.975 -0.076 2.826
## 922 1.500 -1.285 -0.035 -0.015 0.680 -0.456 3.201
## 923 1.500 -1.125 -0.020 -0.065 0.875 -0.050 3.299
## 924 2.000 -0.780 0.028 -0.040 1.100 0.678 3.538
## 925 2.000 -1.375 -0.159 -0.120 0.500 -0.553 2.933
## 926 1.500 -0.935 -0.081 -0.035 0.800 -0.042 3.486
## 927 2.000 -1.070 -0.049 -0.020 0.855 -0.188 3.108
## 928 2.000 -1.255 -0.091 -0.002 0.915 -0.195 2.549
## 929 2.000 -1.145 -0.098 0.020 0.955 -0.202 2.491
## 930 2.000 -1.170 -0.107 -0.065 1.020 -0.283 3.849
## 931 2.000 -1.405 -0.179 -0.110 1.115 -0.360 3.443
## 932 2.000 -0.860 0.015 0.000 1.010 0.319 2.586
## 933 1.500 -0.790 0.023 -0.050 1.130 0.887 4.104
## 934 2.000 -1.090 0.052 -0.035 1.810 0.851 4.231
## 935 2.000 -1.840 -0.086 -0.025 0.990 -0.851 5.133
## 936 2.000 -1.180 -0.115 -0.120 0.800 -0.135 2.914
## 937 2.000 -1.190 0.006 -0.070 1.950 0.634 3.770
## 938 2.000 -1.590 -0.131 -0.035 1.025 -0.532 3.695
## 939 2.000 -0.765 0.003 -0.040 1.290 0.494 3.580
## 940 2.000 -1.200 0.034 0.000 2.560 1.078 5.530
## 941 1.500 -1.110 0.089 -0.015 3.140 1.611 7.464
## 942 3.000 -1.280 0.037 -0.100 3.190 1.837 8.833
## 943 1.500 -0.675 0.139 -0.002 2.015 1.579 6.127
## 944 2.000 -0.980 0.117 -0.005 1.850 0.843 4.423
## 945 2.000 -1.735 0.161 0.165 3.115 0.719 6.209
## 946 2.000 -1.940 -0.005 -0.035 1.790 -0.069 4.324
## 947 2.000 -1.035 0.022 0.015 1.835 1.037 8.473
## 948 1.500 -1.090 0.031 -0.030 1.550 0.624 3.746
## 949 1.500 -1.090 0.074 -0.045 2.900 1.255 4.873
## 950 2.000 -1.085 -0.051 -0.005 1.780 0.746 5.426
## 951 2.000 -1.205 -0.006 -0.100 2.795 1.986 9.584
## 952 1.500 -0.905 0.079 -0.013 2.675 2.029 9.113
## 953 3.000 -1.220 0.011 0.000 2.650 1.592 7.659
## 954 2.500 -1.810 -0.018 0.000 2.900 1.583 10.668
## 955 2.000 -0.620 0.070 0.005 1.640 1.143 5.347
## 956 2.000 -1.050 -0.125 -0.170 1.640 0.696 3.687
## 957 2.000 -0.980 -0.004 -0.125 3.170 2.202 10.347
## 958 Inf -0.935 0.111 0.000 3.655 2.383 12.069
## 959 2.000 -1.218 0.049 0.000 2.932 1.809 9.208
## 960 Inf -2.130 -0.111 -0.135 3.680 1.387 8.577
## 961 2.000 -1.610 -0.198 -0.130 2.520 1.164 5.632
## 962 2.000 -0.650 -0.065 -0.070 1.490 1.170 5.028
## 963 2.000 -0.590 -0.064 -0.150 1.465 1.355 6.171
## 964 1.500 -0.780 -0.069 -0.010 1.025 0.110 3.176
## 965 2.000 -1.020 -0.047 -0.085 1.830 0.878 5.517
## 966 2.000 -1.250 -0.044 0.000 1.740 0.072 3.072
## 967 2.000 -0.880 -0.019 -0.025 1.440 0.486 4.425
## 968 2.000 -1.510 0.001 0.005 2.550 0.930 7.167
## 969 2.000 -1.080 -0.042 -0.015 1.590 0.687 4.590
## 970 3.000 -1.420 0.286 -0.050 6.130 2.405 9.770
## 971 3.000 -0.920 0.088 0.000 2.930 2.585 10.589
## 972 15.000 -1.380 0.315 0.000 5.550 2.161 7.814
## 973 2.000 -1.530 0.039 -0.102 2.670 0.821 3.564
## 974 2.000 -2.310 -0.080 -0.077 2.700 0.517 5.367
## 975 3.000 -2.960 0.138 -0.035 6.610 1.696 7.221
## 976 2.000 -2.723 0.095 0.167 3.627 0.441 5.223
## 977 2.000 -0.760 0.106 0.065 1.480 0.611 3.668
## 978 2.500 -0.570 0.062 0.000 1.400 1.221 5.263
## 979 2.000 -1.480 0.023 -0.145 2.610 1.433 5.455
## 980 1.333 -0.600 0.034 0.000 1.330 0.902 5.483
## 981 2.000 -0.540 0.109 0.000 1.160 0.796 3.399
## 982 2.000 -1.010 0.268 0.030 2.330 1.009 3.795
## 983 2.000 -0.620 0.107 -0.035 1.600 1.464 4.896
## 984 2.000 -0.420 0.083 -0.010 1.110 1.081 3.816
## 985 1.500 -0.710 0.020 -0.013 1.130 0.780 4.515
## 986 2.000 -0.920 0.027 -0.015 1.380 0.822 3.684
## 987 1.500 -1.130 -0.060 0.000 1.400 0.429 2.989
## 988 2.000 -1.210 -0.058 -0.138 0.970 -0.147 3.137
## 989 Inf -1.525 -0.044 -0.130 1.855 0.399 2.285
## 990 2.000 -1.970 0.070 0.000 3.050 0.789 3.720
## 991 2.000 -2.070 -0.009 0.010 0.800 -1.347 7.011
## 992 1.500 -1.070 0.019 0.020 0.920 -0.187 3.299
## 993 2.000 -1.215 0.046 0.040 1.065 -0.178 3.556
## 994 2.000 -1.050 0.004 0.040 1.550 0.157 2.891
## 995 2.000 -1.575 0.005 0.013 0.825 -0.785 4.911
## 996 2.000 -1.710 -0.011 0.020 1.390 -0.146 3.671
## 997 2.000 -1.200 0.221 0.210 2.760 0.749 5.454
## 998 2.000 -1.335 -0.031 -0.022 1.385 0.039 2.347
## 999 2.000 -1.442 0.082 0.025 1.377 -0.138 2.548
## 1000 2.000 -1.780 0.116 -0.185 3.920 1.477 5.467
## 1001 3.500 -1.340 -0.079 -0.035 1.330 0.285 3.503
## 1002 2.000 -0.585 -0.049 -0.025 0.575 0.088 2.191
## 1003 2.000 -1.250 -0.071 -0.085 1.230 0.196 3.737
## 1004 2.500 -1.790 0.128 0.000 1.820 0.004 3.932
## 1005 2.000 -2.050 0.211 0.030 2.960 0.375 2.606
## 1006 2.000 -1.100 0.138 0.055 1.590 0.441 2.454
## 1007 2.000 -0.810 0.055 0.005 1.150 0.227 2.649
## 1008 2.000 -1.352 0.119 0.001 1.428 -0.069 2.333
## 1009 1.500 -1.710 0.101 0.160 2.010 -0.005 2.245
## 1010 Inf -1.655 0.039 0.220 1.585 -0.366 2.287
## 1011 1.500 -1.410 0.206 0.000 2.335 0.668 2.722
## 1012 4.000 -2.780 0.049 0.000 3.595 0.049 1.801
## 1013 2.000 -2.348 0.300 0.000 4.352 1.149 4.909
## 1014 2.000 -1.655 -0.148 -0.030 1.325 -0.322 2.705
## 1015 3.000 -1.390 -0.001 -0.055 1.540 0.426 2.992
## 1016 2.000 -1.383 -0.033 -0.008 0.858 -0.717 4.134
## 1017 2.000 -0.810 0.029 0.030 0.820 -0.006 3.472
## 1018 1.500 -0.810 0.060 0.000 1.260 0.750 3.962
## 1019 2.000 -1.665 -0.026 -0.040 1.365 -0.048 3.887
## 1020 2.000 -1.400 -0.150 -0.215 0.530 -0.615 3.095
## 1021 2.000 -1.235 -0.183 -0.155 0.615 -0.343 2.771
## 1022 1.500 -0.710 0.051 -0.060 0.700 0.159 2.548
## 1023 2.000 -0.840 -0.034 0.005 0.590 -0.292 2.256
## 1024 2.000 -1.670 0.067 0.025 2.660 0.474 4.355
## 1025 2.000 -1.370 -0.089 0.000 0.980 -0.296 2.730
## 1026 2.000 -0.990 -0.085 0.035 1.010 -0.274 2.990
## 1027 1.500 -1.370 0.147 0.045 1.720 0.159 3.324
## 1028 2.000 -0.730 0.110 0.010 1.440 0.648 2.762
## 1029 2.000 -1.075 0.032 0.045 1.345 0.213 2.456
## 1030 Inf -1.030 0.043 0.005 1.030 0.208 2.843
## 1031 2.000 -1.165 -0.004 -0.010 1.225 0.211 2.665
## 1032 1.500 -1.210 0.040 0.025 1.290 0.197 2.651
## 1033 2.000 -1.225 0.204 0.072 2.925 1.184 5.141
## 1034 2.000 -1.490 0.099 0.000 2.700 0.999 5.802
## 1035 2.500 -1.325 0.082 0.000 2.155 0.537 3.314
## 1036 1.500 -1.260 0.100 0.000 1.360 0.316 4.164
## 1037 1.500 -1.170 0.017 0.065 1.720 0.633 3.253
## 1038 Inf -2.570 -0.138 0.040 2.230 -0.133 1.966
## 1039 Inf -1.435 0.022 -0.045 0.935 -0.184 2.409
## 1040 2.000 -0.825 0.002 -0.010 1.235 0.525 2.672
## 1041 2.000 -0.630 0.065 0.100 1.130 0.439 2.490
## 1042 1.500 -0.875 0.075 0.000 1.855 0.776 3.391
## 1043 1.500 -0.970 0.076 0.032 1.880 0.552 3.538
## 1044 2.000 -1.295 0.135 -0.030 1.745 0.366 2.530
## 1045 2.000 -0.625 0.014 -0.015 1.025 0.609 2.523
## 1046 2.000 -2.745 -0.087 -0.060 1.070 -1.315 7.485
## 1047 1.500 -1.670 -0.006 -0.105 1.340 -0.210 2.471
## 1048 2.000 -1.750 -0.117 -0.060 1.000 -0.375 3.176
## 1049 2.000 -2.690 -0.198 -0.125 1.920 -0.359 3.670
## 1050 3.000 -0.920 -0.017 0.000 0.630 -0.422 2.793
## 1051 2.000 -1.900 -0.076 0.015 1.290 -0.424 3.021
## 1052 2.000 -1.410 -0.021 0.000 1.150 -0.193 3.680
## 1053 2.000 -1.330 -0.016 -0.100 2.120 0.519 3.286
## 1054 2.000 -1.820 -0.084 -0.070 3.030 0.500 3.675
## 1055 2.000 -1.270 0.028 -0.015 1.570 0.420 3.038
## 1056 Inf -1.125 0.017 -0.030 1.135 -0.025 2.709
## 1057 2.000 -1.420 0.083 0.090 1.490 -0.149 3.380
## 1058 3.000 -0.660 -0.048 -0.005 0.810 0.412 3.126
## 1059 3.000 -0.865 -0.089 -0.085 0.765 0.107 2.537
## 1060 2.000 -1.650 0.198 0.170 2.560 0.348 2.064
## 1061 2.000 -1.065 0.030 0.000 1.345 0.185 3.434
## 1062 2.000 -0.640 0.061 0.035 0.920 0.001 3.433
## 1063 Inf -2.440 0.115 -0.035 3.170 0.223 2.668
## 1064 2.000 -1.960 0.076 -0.095 2.460 0.555 4.451
## 1065 1.500 -1.180 -0.063 0.000 0.700 -0.445 3.411
## 1066 1.500 -1.410 -0.018 0.000 0.750 -0.985 5.526
## 1067 13.000 -2.825 0.178 0.000 4.175 0.660 3.170
## 1068 2.000 -3.830 -0.222 -0.010 3.020 0.101 2.600
## 1069 2.000 -1.360 0.150 0.180 2.230 0.358 3.706
## 1070 2.000 -0.860 0.070 -0.005 2.000 1.225 5.606
## 1071 6.000 -1.445 0.061 0.000 1.740 0.374 5.004
## 1072 Inf -1.785 -0.095 0.000 1.580 -0.113 2.331
## 1073 2.000 -1.595 -0.160 -0.120 0.605 -0.633 3.067
## 1074 2.000 -2.215 0.032 -0.002 1.155 -0.964 5.767
## 1075 1.500 -2.080 0.007 0.000 1.210 -0.621 4.348
## 1076 3.000 -1.285 0.009 -0.025 1.090 -0.308 3.172
## 1077 2.000 -0.765 -0.031 0.010 0.650 -0.285 2.194
## 1078 1.500 -1.285 0.016 0.002 0.805 -0.730 3.126
## 1079 2.000 -1.025 -0.111 -0.030 0.565 -0.498 2.443
## 1080 2.000 -1.240 -0.068 0.025 0.910 -0.416 2.862
## 1081 2.000 -1.210 -0.093 0.005 0.840 -0.529 2.630
## 1082 2.000 -1.060 0.019 0.030 0.760 -0.362 2.746
## 1083 2.000 -1.090 -0.100 0.045 0.740 -0.320 2.002
## 1084 2.000 -1.355 -0.048 0.030 0.885 -0.530 2.752
## 1085 3.000 -1.190 -0.084 0.015 0.590 -0.784 3.328
## 1086 2.000 -1.480 -0.001 -0.112 1.940 0.606 3.989
## 1087 2.000 -1.970 -0.020 -0.055 1.400 -0.025 2.348
## 1088 2.000 -1.870 -0.140 -0.115 1.120 -0.463 3.316
## 1089 2.000 -0.855 -0.003 0.002 0.895 0.124 2.999
## 1090 2.000 -1.765 -0.175 -0.215 1.095 -0.380 3.373
## 1091 2.000 -1.055 -0.055 -0.035 1.045 0.250 3.069
## 1092 2.000 -1.145 0.119 -0.038 1.905 0.485 2.259
## 1093 2.000 -1.555 0.016 -0.142 1.685 0.245 1.976
## 1094 2.000 -1.330 -0.022 -0.028 1.100 -0.101 2.208
## 1095 2.000 -1.775 0.106 0.005 1.985 0.059 4.215
## 1096 8.000 -2.040 0.221 0.000 2.640 0.412 3.135
## 1097 2.000 -0.695 0.066 0.000 1.335 0.940 3.805
## 1098 2.000 -1.530 0.001 -0.005 1.180 -0.209 2.845
## 1099 2.000 -2.865 -0.281 -0.302 2.315 0.041 2.530
## 1100 4.000 -3.120 -0.013 0.000 4.300 0.287 2.924
## 1101 1.500 -1.630 0.195 -0.030 3.695 0.831 3.316
## 1102 1.333 -1.150 -0.062 -0.005 2.630 1.455 6.935
## 1103 2.000 -2.330 -0.263 -0.140 2.850 0.371 2.845
## 1104 2.000 -1.530 -0.289 -0.280 1.700 0.333 2.557
## 1105 Inf -3.120 -0.207 -0.385 2.790 0.210 2.617
## 1106 Inf -4.290 -0.238 -0.435 2.950 -0.114 2.956
## 1107 2.000 -2.130 -0.083 -0.035 0.800 -1.446 6.437
## 1108 2.000 -3.330 -0.136 0.068 0.950 -1.735 6.156
## 1109 2.000 -1.170 0.006 -0.030 1.090 -0.113 3.077
## 1110 2.000 -0.715 -0.046 -0.002 0.575 -0.190 2.421
## 1111 2.500 -1.965 0.160 0.000 3.205 0.746 2.914
## 1112 2.000 -0.860 -0.052 -0.025 1.030 0.412 3.094
## 1113 2.000 -0.860 -0.020 -0.048 0.940 0.331 2.684
## 1114 2.000 -0.910 -0.015 0.000 1.000 0.015 2.836
## 1115 2.000 -0.750 0.034 0.000 1.050 0.323 2.561
## 1116 2.000 -1.070 0.075 0.065 1.010 -0.208 2.617
## 1117 1.500 -1.500 -0.144 -0.050 0.940 -0.151 2.657
## 1118 Inf -0.925 -0.003 0.010 0.895 0.019 2.574
## 1119 2.000 -0.570 0.056 0.005 0.910 0.327 2.649
## 1120 2.000 -3.075 0.344 0.000 3.475 -0.087 2.073
## 1121 2.000 -1.020 0.021 0.010 2.010 1.098 4.180
## 1122 2.000 -1.025 0.023 0.155 1.785 0.273 2.275
## 1123 2.000 -0.925 0.027 0.010 0.765 -0.262 2.527
## 1124 1.500 -0.840 0.055 0.015 0.790 -0.247 3.351
## 1125 2.000 -0.785 0.068 0.110 1.075 0.022 2.365
## 1126 2.000 -1.300 0.012 0.130 1.110 -0.262 2.329
## 1127 2.000 -0.975 0.079 0.045 0.975 -0.063 3.074
## 1128 2.000 -1.280 -0.035 -0.060 1.340 0.074 2.129
## 1129 Inf -0.860 0.115 0.075 1.730 0.817 5.195
## 1130 2.000 -0.690 0.057 0.045 1.900 1.481 8.110
## 1131 1.500 -0.940 0.046 -0.015 0.990 0.258 2.568
## 1132 2.000 -1.380 -0.051 0.020 0.880 -0.894 3.746
## 1133 2.000 -0.915 0.104 0.210 1.085 -0.186 2.244
## 1134 2.000 -1.010 0.073 0.005 1.450 0.457 3.596
## 1135 1.500 -0.960 0.049 0.000 1.710 0.885 3.939
## 1136 2.000 -0.760 0.000 -0.040 0.820 0.045 2.178
## 1137 2.000 -0.825 0.079 0.020 1.165 0.281 3.053
## 1138 2.000 -1.585 0.127 0.147 1.625 -0.266 3.740
## 1139 2.000 -1.170 -0.011 0.030 0.790 -0.799 3.757
## 1140 2.000 -1.408 0.095 0.018 0.973 -0.557 3.535
## 1141 Inf -1.080 0.098 0.015 0.990 -0.190 2.342
## 1142 2.000 -1.110 -0.037 -0.025 0.780 -0.317 2.677
## 1143 2.000 -2.195 -0.031 0.060 0.975 -0.996 4.370
## 1144 1.500 -1.335 0.026 0.045 1.065 -0.378 4.109
## 1145 2.000 -1.320 0.039 0.000 1.250 -0.206 3.926
## 1146 2.000 -1.015 0.038 0.007 1.565 0.881 4.844
## 1147 2.000 -0.860 0.054 0.000 1.350 0.687 4.908
## 1148 1.500 -0.520 -0.005 -0.020 0.660 0.400 2.567
## 1149 2.000 -1.200 -0.009 -0.005 0.840 -0.293 4.034
## 1150 2.000 -1.420 -0.023 0.005 1.030 -0.476 4.172
## 1151 Inf -1.295 0.015 0.055 1.005 -0.302 3.138
## 1152 2.000 -0.990 0.024 0.040 1.300 0.187 2.760
## 1153 2.000 -0.605 -0.012 -0.045 0.935 0.537 2.874
## 1154 2.000 -1.610 -0.105 -0.035 0.760 -0.970 5.003
## 1155 2.000 -1.928 -0.142 -0.072 1.762 0.023 4.959
## 1156 2.000 -1.005 -0.064 -0.015 1.925 1.043 6.200
## 1157 1.500 -1.780 -0.096 -0.015 0.870 -1.423 7.320
## 1158 1.500 -0.500 0.049 -0.050 1.380 1.320 4.668
## 1159 2.000 -0.840 -0.020 -0.075 1.090 0.281 2.148
## 1160 2.000 -0.630 0.020 0.000 0.725 0.127 2.177
## 1161 2.000 -1.340 -0.055 -0.015 1.390 0.269 3.174
## 1162 2.000 -0.810 -0.019 -0.005 1.090 0.130 2.980
## 1163 3.500 -0.645 -0.019 0.000 1.000 0.447 3.468
## 1164 2.000 -1.170 -0.042 -0.015 1.270 0.185 3.029
## 1165 2.000 -0.950 -0.036 -0.015 1.000 0.222 2.338
## 1166 2.000 -1.295 -0.082 -0.100 1.115 0.152 3.412
## 1167 2.000 -1.610 -0.052 0.025 1.580 0.025 2.714
## 1168 2.000 -1.310 0.047 0.025 1.480 -0.045 4.015
## 1169 2.000 -1.075 -0.057 -0.025 0.770 -0.126 3.167
## 1170 3.000 -0.840 0.034 0.000 1.730 1.180 7.318
## 1171 2.000 -1.080 0.061 0.000 3.020 2.069 10.103
## 1172 3.500 -0.780 -0.099 -0.010 0.400 -0.451 2.340
## 1173 3.500 -1.185 -0.087 -0.008 1.605 0.408 3.971
## 1174 2.000 -0.775 0.003 0.018 0.855 -0.007 2.307
## 1175 2.000 -1.860 -0.097 -0.035 0.850 -1.401 7.722
## 1176 2.000 -1.140 -0.101 0.000 0.640 -0.652 3.057
## 1177 Inf -1.680 -0.177 -0.180 1.080 -0.129 2.773
## 1178 2.000 -1.725 -0.032 -0.100 1.105 -0.496 3.391
## 1179 2.000 -1.620 -0.076 -0.155 1.170 -0.253 3.380
## 1180 2.000 -1.725 -0.066 -0.088 0.985 -0.592 3.692
## 1181 1.500 -1.395 -0.029 0.025 1.115 -0.128 3.296
## 1182 2.000 -2.180 -0.027 0.050 1.635 -0.400 3.306
## 1183 1.500 -2.015 -0.059 -0.060 0.845 -0.937 5.640
## 1184 2.000 -3.200 -0.142 -0.085 0.820 -2.178 11.075
## 1185 2.000 -2.820 -0.127 -0.095 0.940 -1.757 9.552
## 1186 2.000 -0.960 0.002 -0.045 0.750 -0.159 2.507
## 1187 2.000 -0.820 -0.014 -0.005 0.530 -0.229 2.830
## 1188 1.500 -0.585 -0.012 -0.002 0.615 -0.002 2.367
## 1189 2.000 -0.890 -0.053 -0.075 0.660 -0.421 3.265
## 1190 2.000 -0.880 0.044 0.020 0.840 0.044 2.633
## 1191 1.500 -0.940 0.058 -0.015 1.120 0.681 3.594
## 1192 2.000 -0.925 0.079 -0.065 1.235 0.448 2.648
## 1193 1.500 -0.990 0.009 0.000 0.880 0.091 3.490
## 1194 2.000 -0.970 -0.100 -0.125 0.880 0.116 2.291
## 1195 3.000 -1.090 -0.057 -0.055 0.990 0.078 2.514
## 1196 2.000 -0.670 -0.012 -0.055 0.680 0.001 2.133
## 1197 2.000 -1.000 -0.117 -0.045 0.630 -0.322 2.375
## 1198 2.000 -0.745 0.061 0.010 1.520 0.809 3.712
## 1199 2.000 -1.305 -0.109 -0.020 1.210 -0.069 4.496
## 1200 3.000 -1.140 0.084 0.000 1.510 0.481 3.397
## 1201 2.000 -1.580 -0.010 0.000 1.050 -0.598 4.294
## 1202 2.000 -0.705 -0.029 -0.010 0.865 0.412 2.759
## 1203 1.500 -0.610 -0.005 -0.035 1.150 0.872 3.818
## 1204 1.500 -1.010 -0.062 0.042 0.590 -0.682 2.500
## 1205 2.000 -0.850 0.012 -0.030 2.130 1.280 6.018
## 1206 2.000 -1.000 0.012 0.000 1.230 0.659 4.033
## 1207 2.000 -0.550 0.045 0.000 0.710 0.406 2.898
## 1208 1.500 -1.550 -0.040 0.000 0.970 -0.846 6.017
## 1209 2.500 -0.790 -0.099 -0.010 0.660 -0.471 2.877
## 1210 1.500 -0.970 0.077 0.000 1.810 0.802 4.484
## 1211 2.000 -1.290 -0.082 -0.275 3.450 2.504 11.638
## 1212 2.000 -0.805 -0.032 -0.025 0.955 0.228 3.418
## 1213 2.000 -1.220 -0.025 -0.050 2.300 1.047 5.096
## 1214 2.000 -1.330 -0.082 -0.145 1.560 0.358 3.190
## 1215 2.000 -0.610 -0.023 -0.015 0.860 0.501 3.760
## 1216 2.000 -1.260 0.006 -0.015 0.900 -0.295 2.722
## 1217 3.000 -0.970 -0.106 -0.080 0.790 0.204 2.309
## 1218 2.000 -1.060 -0.060 0.000 0.990 -0.319 2.952
## 1219 2.000 -0.745 0.035 0.015 1.660 0.960 4.186
## 1220 2.000 -0.860 0.032 0.000 0.770 -0.011 2.799
## 1221 1.500 -0.930 -0.070 -0.005 0.700 0.009 3.262
## 1222 2.000 -0.800 -0.009 -0.030 0.900 0.060 2.562
## 1223 2.000 -0.930 -0.044 -0.040 0.670 -0.083 2.290
## 1224 1.500 -1.635 -0.127 0.015 1.125 -0.587 3.281
## 1225 2.000 -1.030 0.044 0.018 0.950 -0.150 2.830
## 1226 2.000 -1.075 -0.093 -0.080 0.605 -0.185 2.416
## 1227 2.000 -1.015 0.074 -0.040 1.785 0.948 4.952
## 1228 2.000 -1.165 0.067 0.030 2.810 1.847 8.688
## 1229 2.000 -0.810 -0.023 -0.020 0.620 -0.061 3.725
## 1230 Inf -0.740 -0.090 -0.050 0.650 -0.040 2.568
## 1231 2.000 -0.725 -0.055 -0.025 0.980 0.374 2.908
## 1232 2.000 -1.400 -0.118 -0.005 1.010 -0.243 2.641
## 1233 Inf -1.160 -0.139 -0.045 1.210 0.013 2.944
## 1234 2.000 -0.810 -0.079 -0.060 1.470 0.625 3.213
## 1235 2.000 -0.975 -0.003 0.005 1.075 0.110 2.637
## 1236 2.000 -0.945 -0.017 -0.090 1.250 0.244 2.725
## 1237 Inf -1.260 -0.017 -0.015 1.110 0.024 2.146
## 1238 2.000 -1.663 -0.041 -0.004 1.137 -0.540 2.995
## 1239 2.000 -1.350 -0.017 0.000 1.440 -0.218 3.678
## 1240 2.000 -0.725 0.034 0.035 0.870 0.306 2.791
## 1241 1.500 -1.115 -0.045 -0.100 1.480 0.507 4.081
## 1242 2.500 -1.370 -0.069 0.000 1.320 -0.342 3.809
## 1243 2.000 -1.350 -0.061 -0.030 0.620 -0.952 4.107
## 1244 2.000 -1.155 -0.011 0.000 0.745 -0.444 2.898
## 1245 3.500 -1.010 -0.065 0.000 0.630 -0.509 3.114
## 1246 2.000 -0.845 -0.039 0.080 0.625 -0.540 2.319
## 1247 1.500 -1.790 -0.107 -0.037 1.250 -0.248 3.088
## 1248 2.000 -0.880 -0.051 -0.035 0.660 -0.353 3.663
## 1249 1.500 -1.060 -0.085 -0.100 0.650 -0.184 3.268
## 1250 2.000 -0.670 -0.032 -0.055 0.725 0.456 2.753
## 1251 2.000 -0.970 0.025 -0.030 0.880 0.155 2.782
## 1252 2.000 -0.630 0.067 0.000 0.620 0.046 2.078
## 1253 2.000 -1.810 0.100 0.025 1.230 -0.507 3.637
## 1254 2.000 -1.685 0.143 0.100 1.405 -0.225 3.168
## 1255 2.000 -0.920 -0.052 -0.020 0.770 -0.191 2.612
## 1256 2.000 -0.940 -0.070 0.000 0.830 -0.092 2.704
## 1257 3.000 -0.860 -0.019 0.000 0.870 0.251 2.708
## 1258 1.500 -1.040 0.002 -0.035 0.890 -0.034 4.071
## 1259 2.000 -0.780 -0.044 0.000 0.570 -0.442 3.329
## 1260 1.500 -0.948 0.008 0.038 0.652 -0.598 3.436
## 1261 2.000 -0.863 -0.062 0.010 0.728 -0.363 2.991
## 1262 2.000 -0.875 -0.022 0.000 0.875 -0.108 2.629
## 1263 2.000 -0.885 -0.048 -0.003 0.825 -0.197 2.500
## 1264 2.000 -0.855 0.034 -0.013 1.045 0.322 2.626
## 1265 1.500 -0.990 -0.026 -0.015 1.330 0.509 5.065
## 1266 2.000 -1.350 -0.061 -0.055 1.370 0.143 4.413
## 1267 2.000 -0.935 0.013 0.007 2.115 1.763 9.911
## 1268 1.500 -0.780 0.058 0.000 2.110 1.709 7.846
## 1269 2.000 -1.030 0.052 0.025 2.150 1.245 6.030
## 1270 2.000 -0.990 -0.046 0.000 0.880 0.085 2.288
## 1271 2.000 -1.510 -0.050 -0.030 0.900 -0.462 3.794
## 1272 2.000 -0.760 -0.005 -0.005 1.010 0.252 3.452
## 1273 2.000 -0.770 0.021 -0.018 1.160 0.616 3.369
## 1274 2.000 -0.900 0.032 0.015 0.950 0.134 2.747
## 1275 2.000 -1.740 0.051 0.050 1.480 -0.311 3.094
## 1276 1.500 -1.285 -0.039 0.055 1.275 -0.149 3.042
## 1277 1.500 -1.180 -0.071 -0.005 0.790 -0.452 2.775
## 1278 2.000 -1.197 -0.074 -0.035 0.613 -0.554 2.899
## 1279 2.000 -1.600 -0.014 0.000 0.960 -0.988 5.262
## 1280 2.000 -1.635 -0.106 -0.070 0.725 -0.834 4.251
## 1281 1.500 -0.730 0.041 -0.005 0.630 0.011 2.244
## 1282 2.000 -1.000 -0.096 -0.045 0.510 -0.375 2.394
## 1283 2.000 -1.070 -0.093 -0.040 0.610 -0.306 2.582
## 1284 2.000 -1.050 -0.060 -0.082 0.875 0.163 3.727
## 1285 1.500 -1.350 -0.150 -0.075 0.560 -0.669 3.380
## 1286 2.000 -1.170 -0.087 -0.053 0.910 -0.348 2.908
## 1287 2.000 -1.550 0.008 0.000 1.440 -0.072 2.551
## 1288 2.000 -1.450 -0.012 -0.050 1.410 0.039 3.048
## 1289 3.000 -1.115 -0.068 -0.060 0.805 -0.183 2.492
## 1290 Inf -1.410 -0.024 -0.070 0.850 -0.409 3.207
## 1291 1.500 -1.390 -0.175 -0.230 0.810 -0.225 2.773
## 1292 2.000 -0.975 -0.034 -0.070 1.325 0.521 4.164
## 1293 Inf -0.760 0.000 -0.140 1.100 0.608 2.433
## 1294 2.000 -1.370 -0.160 -0.140 0.860 -0.107 3.020
## 1295 2.000 -1.180 -0.116 -0.130 0.760 -0.448 3.542
## 1296 2.000 -2.070 -0.152 -0.030 1.600 -0.489 4.318
## 1297 2.000 -0.965 -0.054 -0.022 0.725 -0.209 2.378
## 1298 2.000 -0.950 -0.029 0.000 0.860 0.029 2.479
## 1299 2.000 -0.625 -0.056 -0.010 0.675 0.147 1.824
## 1300 2.000 -1.260 -0.048 -0.110 1.290 0.241 3.488
## 1301 2.000 -0.865 -0.059 -0.070 1.310 0.547 3.234
## 1302 2.000 -0.790 -0.082 -0.040 1.330 0.870 5.508
## 1303 1.500 -0.670 -0.070 -0.050 1.310 1.002 4.895
## 1304 2.000 -1.090 0.007 -0.080 1.710 0.825 4.150
## 1305 2.000 -1.045 0.025 -0.018 0.835 -0.341 3.598
## 1306 1.500 -0.755 0.020 0.000 1.145 0.544 3.173
## 1307 2.000 -1.155 -0.034 0.135 0.815 -0.513 2.614
## 1308 2.000 -1.105 0.028 0.007 1.005 -0.114 2.394
## 1309 2.000 -0.800 -0.023 0.000 0.620 -0.127 2.260
## 1310 2.000 -1.270 -0.104 -0.035 0.550 -0.650 3.057
## 1311 2.000 -2.295 -0.063 -0.077 1.425 -0.436 5.416
## 1312 2.000 -1.245 -0.025 -0.030 1.100 -0.278 3.495
## 1313 2.000 -0.760 0.039 0.000 1.030 0.477 3.152
## 1314 2.000 -1.330 -0.038 -0.040 1.170 0.053 2.984
## 1315 2.000 -1.330 -0.091 -0.088 0.870 -0.038 2.687
## 1316 2.000 -1.255 -0.069 -0.100 1.025 0.112 2.780
## 1317 1.500 -0.985 0.016 -0.035 1.135 0.118 2.730
## 1318 2.000 -1.160 0.025 -0.020 1.170 0.143 4.076
## 1319 2.000 -1.130 -0.003 -0.100 1.630 0.950 5.627
## 1320 2.000 -0.680 -0.014 -0.055 0.960 0.461 3.072
## 1321 2.000 -0.540 0.000 -0.095 1.050 1.126 3.691
## 1322 2.000 -1.245 -0.139 -0.175 0.715 -0.201 2.616
## 1323 2.000 -0.970 -0.083 -0.065 1.070 0.257 2.723
## 1324 1.500 -0.700 0.096 0.000 1.180 0.251 2.043
## 1325 2.000 -0.965 -0.068 -0.095 1.105 0.320 2.535
## 1326 2.000 -1.095 -0.108 -0.002 1.015 0.127 2.610
## 1327 2.000 -0.890 0.017 0.000 1.170 0.332 2.987
## 1328 2.000 -0.855 -0.044 -0.065 0.715 0.091 2.194
## 1329 2.000 -0.665 -0.010 -0.032 0.745 0.299 2.310
## 1330 2.000 -1.115 0.033 -0.120 1.705 0.586 2.602
## 1331 2.000 -1.495 -0.056 0.000 1.235 -0.171 3.241
## 1332 2.000 -0.815 -0.058 -0.065 0.575 0.069 2.702
## 1333 5.500 -1.280 0.152 0.000 3.250 1.306 5.262
## 1334 2.000 -1.630 -0.021 -0.085 3.285 1.711 7.983
## 1335 1.500 -0.940 -0.054 -0.035 0.670 -0.264 2.346
## 1336 2.000 -1.030 -0.134 -0.145 0.725 -0.131 2.373
## 1337 2.000 -0.865 0.020 0.000 0.930 -0.179 2.632
## 1338 2.000 -1.290 0.005 0.025 0.780 -0.568 3.900
## 1339 2.000 -1.330 0.002 0.030 0.685 -0.909 4.659
## 1340 2.000 -1.125 -0.003 0.025 0.515 -0.807 3.672
## 1341 1.333 -1.060 0.075 0.065 0.730 -0.675 3.584
## 1342 2.000 -1.010 -0.047 0.010 0.520 -0.857 3.682
## 1343 2.000 -1.060 -0.083 -0.040 0.860 -0.544 2.762
## 1344 2.000 -1.210 -0.095 -0.030 0.880 -0.566 2.867
## 1345 2.000 -1.210 -0.005 -0.040 1.430 0.336 3.580
## 1346 Inf -2.185 -0.192 -0.040 1.455 -0.447 2.421
## 1347 2.000 -1.690 0.008 -0.045 0.930 -0.725 4.763
## 1348 1.500 -1.420 -0.080 0.020 0.700 -0.804 3.014
## 1349 2.000 -1.675 -0.169 -0.035 0.560 -1.068 3.452
## 1350 2.000 -1.850 -0.030 0.040 1.130 -1.058 5.654
## 1351 5.500 -2.120 0.172 0.000 2.630 0.140 2.590
## 1352 2.000 -1.210 -0.056 -0.025 0.720 -0.541 3.621
## 1353 2.000 -0.710 0.016 0.020 0.790 -0.072 2.532
## 1354 1.500 -0.705 -0.015 -0.055 0.970 0.308 2.431
## 1355 3.500 -0.860 0.000 0.000 0.660 -0.669 2.977
## 1356 1.500 -1.430 -0.094 -0.005 1.350 0.156 3.726
## 1357 2.000 -0.880 -0.015 -0.040 0.930 0.192 2.922
## 1358 1.500 -0.925 -0.078 -0.115 1.115 0.099 3.186
## 1359 2.000 -1.075 -0.086 -0.010 0.755 -0.259 2.272
## 1360 2.000 -0.750 -0.032 -0.010 0.660 -0.068 3.603
## 1361 2.000 -1.030 -0.107 -0.005 0.710 -0.132 2.357
## 1362 1.500 -0.930 -0.112 -0.025 0.670 -0.059 2.161
## 1363 1.500 -1.170 -0.130 -0.070 1.410 0.438 5.362
## 1364 2.000 -0.705 0.026 -0.040 0.865 0.237 2.026
## 1365 2.000 -0.595 0.159 0.035 1.550 0.734 2.843
## 1366 2.000 -1.030 -0.036 0.005 0.930 -0.023 2.281
## 1367 1.500 -1.005 -0.184 -0.053 0.615 -0.220 2.114
## 1368 2.000 -1.340 -0.110 -0.120 0.920 -0.248 2.776
## 1369 2.000 -1.170 -0.074 -0.090 0.960 -0.125 3.717
## 1370 Inf -1.130 -0.017 0.045 1.150 -0.030 2.952
## 1371 1.500 -1.403 -0.022 -0.010 1.028 -0.058 2.416
## 1372 2.000 -1.600 -0.063 -0.090 1.185 -0.329 3.516
## 1373 2.500 -1.140 -0.055 0.000 1.060 -0.286 2.553
## 1374 2.000 -0.960 0.010 -0.055 1.050 0.168 2.668
## 1375 2.000 -1.350 -0.085 0.010 0.680 -1.041 3.567
## 1376 2.000 -0.670 0.004 -0.060 0.970 0.581 3.361
## 1377 2.000 -1.900 -0.076 -0.025 1.170 -0.508 3.715
## 1378 8.500 -1.015 0.009 0.000 1.545 0.866 4.550
## 1379 2.000 -3.370 -0.318 -0.175 0.890 -1.623 7.047
## 1380 2.000 -0.960 0.192 0.000 1.880 0.595 2.861
## 1381 5.000 -1.695 -0.095 0.000 0.985 -1.104 4.911
## 1382 28.000 -0.850 0.005 0.000 1.220 1.087 6.742
## 1383 14.000 -1.720 -0.004 0.000 2.000 0.096 4.203
## 1384 6.000 -1.190 0.082 0.000 1.740 0.550 3.082
## 1385 2.000 -2.690 -0.107 0.015 0.905 -1.354 5.686
## 1386 9.000 -1.410 0.042 0.000 1.190 -0.184 2.520
## 1387 4.000 -2.210 0.104 0.000 2.970 0.587 6.061
## 1388 2.000 -1.300 0.107 0.000 2.140 0.330 2.700
## 1389 2.500 -1.640 0.020 0.000 1.710 -0.115 2.396
## 1390 2.000 -1.670 0.019 0.000 1.710 -0.009 2.283
## 1391 2.000 -1.715 0.247 0.000 4.955 1.721 8.319
## 1392 2.500 -1.250 0.008 -0.005 1.820 0.790 4.535
## 1393 12.000 -1.350 -0.079 0.000 2.100 0.327 3.632
## 1394 2.000 -2.180 -0.173 0.000 0.860 -1.134 5.339
## 1395 2.500 -1.120 -0.048 0.000 1.260 0.210 2.722
## 1396 1.500 -2.640 0.102 -0.007 3.200 0.365 5.481
## 1397 2.500 -0.700 -0.056 0.000 0.790 0.071 3.023
## 1398 3.000 -2.920 -0.118 -0.020 1.190 -1.534 7.188
## 1399 13.000 -2.270 -0.020 0.000 2.070 0.293 3.971
## 1400 2.000 -2.070 -0.195 -0.115 1.740 -0.128 3.457
## 1401 2.000 -1.910 -0.002 -0.010 1.710 -0.095 2.858
## 1402 2.000 -1.420 0.109 -0.025 2.030 0.221 2.502
## 1403 2.000 -1.640 -0.145 -0.115 1.990 0.165 3.102
## 1404 Inf -1.985 -0.027 -0.010 2.075 0.029 3.084
## 1405 2.000 -1.190 -0.081 0.000 1.190 -0.268 3.231
## 1406 1.500 -1.640 0.008 -0.005 1.940 0.351 3.795
## 1407 2.000 -2.025 -0.024 -0.115 2.175 0.319 4.534
## 1408 1.500 -1.350 -0.099 0.000 1.420 -0.084 4.691
## 1409 10.000 -1.165 -0.061 0.000 0.665 -0.800 3.607
## 1410 2.000 -1.490 0.010 -0.020 1.755 0.055 2.456
## 1411 2.000 -1.385 -0.070 -0.048 1.740 0.290 2.502
## 1412 2.000 -0.950 -0.012 0.020 1.430 0.676 3.329
## 1413 2.000 -1.125 0.004 0.005 1.225 0.171 3.316
## 1414 2.000 -1.052 0.028 -0.055 1.538 0.472 3.408
## 1415 2.000 -0.735 -0.044 -0.025 0.920 0.474 3.067
## 1416 2.000 -1.010 -0.132 -0.080 0.740 -0.039 2.309
## 1417 2.000 -1.250 -0.120 -0.135 0.960 -0.098 2.663
## 1418 1.500 -0.970 0.003 0.000 0.810 -0.328 2.551
## 1419 1.500 -0.890 0.024 0.005 0.920 -0.035 2.551
## 1420 2.000 -0.845 -0.011 -0.055 0.835 0.303 2.425
## 1421 2.000 -0.705 0.021 -0.003 1.395 1.074 4.240
## 1422 2.000 -0.740 -0.029 -0.040 1.140 0.779 3.978
## 1423 1.500 -0.930 -0.106 -0.050 0.590 -0.068 2.676
## 1424 2.000 -1.175 -0.005 -0.035 1.035 -0.329 3.882
## 1425 2.000 -0.620 0.027 -0.025 0.820 0.442 2.496
## 1426 2.000 -0.785 -0.066 -0.083 0.815 0.187 2.830
## 1427 2.000 -0.993 -0.025 -0.017 0.738 -0.156 2.754
## 1428 2.000 -1.845 -0.124 -0.065 1.125 -0.520 3.058
## 1429 2.000 -0.615 0.064 0.045 1.715 1.271 5.787
## 1430 2.000 -0.670 0.025 0.005 1.330 0.720 4.661
## 1431 1.500 -1.110 -0.074 -0.020 0.790 -0.219 2.952
## 1432 2.000 -0.990 -0.016 0.005 0.850 -0.141 2.329
## 1433 2.000 -0.825 -0.013 -0.085 1.045 0.251 2.059
## 1434 2.000 -1.030 0.031 -0.015 1.070 0.150 3.099
## 1435 2.000 -0.655 0.025 -0.035 1.075 0.569 2.857
## 1436 2.000 -0.990 0.084 0.065 1.680 0.308 3.475
## 1437 2.000 -0.990 -0.057 -0.015 0.990 0.057 2.871
## 1438 2.000 -1.910 -0.010 -0.005 1.470 -0.258 4.058
## 1439 2.000 -0.810 0.061 0.025 1.390 0.273 2.791
## 1440 2.000 -1.420 -0.040 -0.040 1.520 0.039 3.581
## 1441 2.000 -1.025 -0.005 -0.013 0.785 -0.156 3.328
## 1442 2.000 -0.980 -0.007 -0.020 0.970 0.125 2.563
## 1443 2.000 -1.080 -0.034 -0.025 0.960 0.048 2.691
## 1444 1.500 -0.992 -0.041 -0.098 0.927 0.262 2.265
## 1445 2.000 -0.938 0.146 -0.013 1.372 0.304 1.726
## 1446 2.000 -1.035 0.135 -0.055 1.395 0.312 1.761
## 1447 2.000 -1.010 -0.051 -0.065 0.880 0.070 2.771
## 1448 2.000 -0.630 -0.077 -0.065 0.580 0.156 2.261
## 1449 2.000 -0.570 0.099 -0.005 1.220 0.886 3.340
## 1450 2.000 -1.255 0.026 -0.020 1.575 0.518 3.036
## 1451 2.000 -1.360 0.053 -0.005 1.400 0.345 3.050
## 1452 1.500 -0.880 0.068 -0.005 1.520 0.732 3.168
## 1453 2.000 -0.860 0.040 -0.070 0.850 0.141 2.448
## 1454 2.000 -0.905 0.053 -0.035 1.465 1.095 4.980
## 1455 2.000 -0.965 0.110 0.050 1.240 0.065 2.468
## 1456 2.000 -0.995 -0.001 0.000 1.255 0.596 2.971
## 1457 Inf -1.080 -0.080 -0.070 1.280 0.287 3.827
## 1458 1.500 -0.875 -0.107 -0.120 1.420 0.973 4.002
## 1459 2.000 -1.120 -0.066 -0.055 1.000 -0.273 3.480
## 1460 2.000 -1.310 -0.184 -0.070 0.880 -0.420 3.229
## 1461 2.000 -1.035 -0.081 -0.010 0.580 -0.483 2.414
## 1462 2.000 -0.865 -0.005 -0.035 0.895 0.142 2.031
## 1463 2.000 -1.330 -0.072 -0.010 0.970 -0.257 2.588
## 1464 2.000 -0.900 0.019 0.050 1.260 0.311 3.919
## 1465 2.000 -1.040 -0.055 -0.005 0.650 -0.241 3.027
## 1466 2.000 -1.160 0.027 -0.030 1.020 0.020 2.599
## 1467 2.000 -0.945 -0.072 -0.060 0.925 0.324 3.696
## 1468 2.000 -1.590 -0.051 -0.032 0.730 -1.011 4.972
## 1469 1.500 -0.600 0.027 -0.010 0.990 0.631 2.946
## 1470 2.000 -0.850 -0.056 -0.208 1.330 1.021 3.435
## 1471 3.000 -1.080 -0.015 -0.005 1.220 0.341 2.902
## 1472 2.000 -1.580 -0.116 -0.125 1.070 -0.357 4.084
## 1473 2.000 -1.058 -0.027 -0.073 1.322 0.312 3.491
## 1474 2.000 -1.315 -0.062 -0.085 1.760 0.471 2.811
## 1475 2.000 -1.270 -0.038 0.000 1.440 0.166 2.458
## 1476 2.000 -1.030 -0.020 -0.055 1.120 0.221 3.268
## 1477 2.000 -2.470 -0.217 -0.075 1.530 -0.430 2.956
## 1478 10.000 -2.365 -0.032 0.000 3.035 0.681 3.137
## 1479 2.000 -1.515 -0.185 -0.185 1.015 -0.165 2.498
## 1480 1.500 -1.060 -0.067 -0.115 1.720 0.866 4.279
## 1481 2.000 -1.740 -0.101 -0.110 1.820 0.486 5.585
## 1482 4.000 -0.760 -0.090 -0.030 0.600 -0.024 2.644
## 1483 2.000 -0.735 -0.003 0.015 0.810 -0.026 3.755
## 1484 2.000 -1.525 0.008 -0.020 0.905 -0.612 3.569
## 1485 2.000 -1.050 -0.034 -0.050 1.110 -0.078 2.913
## 1486 2.000 -0.940 -0.012 0.010 1.180 -0.027 3.416
## 1487 1.500 -1.255 -0.076 -0.010 1.045 -0.142 3.070
## 1488 2.000 -1.800 -0.057 0.000 0.840 -0.917 3.926
## 1489 1.500 -1.500 0.083 0.070 1.430 -0.264 3.323
## 1490 1.500 -1.405 0.044 0.020 0.965 -0.521 4.567
## 1491 2.000 -0.700 0.001 0.000 1.380 0.995 4.950
## 1492 2.000 -0.660 0.038 -0.005 0.820 0.115 2.783
## 1493 Inf -1.380 -0.024 0.030 1.180 -0.260 2.938
## 1494 Inf -0.930 -0.040 -0.015 0.970 0.140 2.746
## 1495 2.000 -0.780 -0.075 -0.085 0.770 0.203 2.215
## 1496 1.500 -1.250 -0.001 0.000 1.010 -0.125 3.289
## 1497 2.000 -0.595 0.068 0.060 1.315 1.087 5.627
## 1498 2.000 -1.045 -0.037 0.002 0.805 -0.071 2.403
## 1499 2.000 -1.440 -0.137 -0.145 1.010 -0.335 2.679
## 1500 1.500 -0.895 -0.066 -0.005 0.735 -0.214 2.482
## 1501 2.000 -1.010 -0.053 -0.020 0.560 -0.748 3.282
## 1502 2.000 -1.500 0.010 0.025 0.970 -0.596 3.630
## 1503 2.000 -0.910 0.044 -0.005 1.110 0.168 2.589
## 1504 2.000 -1.240 0.025 0.025 0.930 -0.336 2.910
## 1505 2.000 -1.260 -0.012 -0.015 1.100 -0.342 3.102
## 1506 2.000 -1.080 -0.020 0.020 1.070 -0.067 3.369
## 1507 2.000 -0.750 0.020 0.000 0.760 -0.081 2.751
## 1508 2.000 -0.665 0.045 -0.005 1.105 1.111 5.307
## 1509 2.000 -0.655 -0.035 -0.150 1.225 0.756 2.818
## 1510 2.000 -0.730 0.039 -0.100 1.040 0.336 1.781
## 1511 1.500 -0.700 0.066 0.000 1.370 0.710 3.984
## 1512 2.000 -1.135 0.030 0.040 0.785 -0.537 3.599
## 1513 2.000 -0.895 -0.013 0.042 0.815 -0.438 2.923
## 1514 2.000 -0.735 0.011 0.010 0.565 -0.606 3.754
## 1515 2.000 -1.610 -0.051 -0.065 1.580 0.110 2.915
## 1516 2.000 -1.275 -0.043 -0.002 0.805 -0.556 3.575
## 1517 2.000 -1.020 0.042 -0.010 1.340 0.396 2.798
## 1518 1.500 -1.130 -0.071 -0.060 0.840 -0.197 3.216
## 1519 1.500 -1.180 -0.116 -0.090 0.720 -0.375 3.397
## 1520 1.500 -0.640 0.032 0.015 0.810 -0.136 2.834
## 1521 1.500 -0.720 0.070 -0.015 1.400 0.840 3.820
## 1522 2.000 -0.685 0.020 -0.105 1.025 0.945 3.580
## 1523 2.000 -1.590 0.035 -0.005 1.310 -0.131 4.436
## 1524 2.000 -1.685 -0.036 -0.025 0.795 -0.951 5.665
## 1525 1.500 -1.270 -0.026 0.000 0.960 -0.598 4.378
## 1526 1.500 -1.190 -0.060 -0.030 0.580 -0.807 3.543
## 1527 1.500 -0.930 0.000 -0.048 1.270 0.574 3.769
## 1528 1.500 -1.555 -0.164 -0.070 0.530 -0.798 3.330
## 1529 2.000 -1.795 -0.025 -0.040 0.795 -0.844 5.340
## 1530 1.500 -1.650 -0.113 0.000 0.620 -1.112 4.275
## 1531 2.000 -1.410 0.058 0.025 1.550 0.096 2.794
## 1532 1.500 -1.360 -0.015 0.000 1.550 0.268 3.409
## 1533 2.000 -1.090 0.013 -0.053 1.640 0.556 3.525
## 1534 Inf -1.070 -0.044 -0.015 0.760 -0.252 2.189
## 1535 2.000 -0.745 -0.011 0.000 0.805 -0.034 2.252
## 1536 1.500 -0.738 -0.096 -0.032 0.693 0.107 2.292
## 1537 2.000 -0.735 -0.079 -0.045 0.635 -0.044 2.589
## 1538 2.000 -0.870 -0.069 -0.080 0.930 0.019 2.240
## 1539 2.000 -0.660 0.017 -0.020 1.110 0.629 3.101
## 1540 2.000 -1.248 -0.084 -0.100 1.452 0.554 3.919
## 1541 2.000 -1.015 0.076 -0.055 1.510 0.710 3.127
## 1542 2.000 -0.730 0.002 0.000 1.050 0.226 2.878
## 1543 Inf -0.770 -0.064 -0.045 0.820 0.290 2.416
## 1544 2.000 -0.770 -0.037 -0.020 1.070 0.366 3.698
## 1545 2.000 -0.950 -0.085 -0.023 0.940 0.007 3.226
## 1546 2.000 -1.215 -0.086 -0.005 0.595 -0.809 3.239
## 1547 2.000 -1.085 -0.034 0.015 1.245 0.001 4.335
## 1548 2.000 -0.795 0.034 0.015 0.815 -0.077 2.359
## 1549 Inf -1.130 -0.078 0.000 0.720 -0.588 2.661
## 1550 Inf -1.110 -0.116 -0.100 0.920 0.016 2.018
## 1551 2.000 -1.480 -0.082 -0.025 0.830 -0.207 2.783
## 1552 2.000 -1.150 0.028 -0.025 1.280 0.492 3.386
## 1553 2.000 -0.860 -0.020 -0.005 1.050 0.234 2.743
## 1554 2.000 -0.980 0.034 0.000 1.080 0.042 1.993
## 1555 2.000 -0.795 0.072 -0.090 1.255 0.604 2.796
## 1556 2.000 -0.720 -0.003 -0.055 1.000 0.517 2.727
## 1557 2.000 -1.085 0.022 -0.100 1.255 0.381 2.810
## 1558 2.000 -1.140 0.055 -0.025 1.360 0.553 3.705
## 1559 1.500 -1.340 0.019 -0.015 1.190 0.090 4.366
## 1560 1.500 -0.530 0.031 -0.020 1.170 0.672 3.484
## 1561 1.500 -1.010 -0.009 0.000 0.650 -0.801 3.384
## 1562 2.000 -0.750 -0.069 0.005 0.560 -0.298 2.154
## 1563 2.000 -1.105 -0.015 -0.055 0.995 -0.104 3.211
## 1564 2.000 -1.050 -0.038 0.000 1.300 0.439 3.066
## 1565 2.000 -1.270 -0.013 -0.005 0.970 -0.246 2.819
## 1566 2.000 -1.480 0.015 0.000 1.200 -0.392 4.165
## 1567 1.500 -0.620 -0.030 -0.045 0.670 0.360 2.438
## 1568 2.000 -0.835 0.002 0.050 1.130 0.303 2.805
## 1569 2.000 -0.795 0.106 -0.015 1.125 0.345 2.493
## 1570 2.000 -0.950 0.053 0.020 0.900 0.019 2.705
## 1571 2.000 -0.950 0.073 0.010 1.070 0.030 2.532
## 1572 1.500 -0.680 0.047 -0.030 0.820 0.212 2.899
## 1573 1.500 -1.075 -0.166 0.000 0.485 -0.813 2.853
## 1574 2.000 -1.240 -0.013 0.000 1.130 -0.050 3.001
## 1575 2.000 -0.795 0.014 0.065 1.150 0.118 3.691
## 1576 2.000 -1.160 -0.063 -0.055 0.880 0.020 1.967
## 1577 2.000 -1.100 -0.120 -0.125 0.800 -0.162 1.849
## 1578 2.000 -1.000 -0.124 -0.120 0.980 0.234 2.224
## 1579 2.000 -0.700 -0.059 0.000 0.580 -0.184 2.053
## 1580 2.000 -1.150 -0.030 -0.010 1.150 0.105 3.246
## 1581 1.500 -1.130 -0.110 -0.065 1.110 -0.106 3.099
## 1582 2.000 -0.960 -0.030 0.005 0.740 -0.249 2.579
## 1583 2.000 -1.070 -0.047 0.000 1.370 0.209 2.626
## 1584 3.000 -1.130 -0.106 -0.018 0.760 -0.432 3.026
## 1585 2.000 -1.460 -0.135 -0.105 0.690 -0.542 2.990
## 1586 2.000 -0.710 0.036 -0.050 0.790 0.319 2.151
## 1587 2.000 -1.085 -0.026 -0.020 1.025 -0.017 2.580
## 1588 2.000 -1.005 -0.015 -0.025 1.005 0.103 2.723
## 1589 2.000 -0.825 0.033 -0.020 1.125 0.170 2.444
## 1590 1.500 -0.780 0.030 0.005 1.130 0.253 2.922
## 1591 1.500 -1.050 -0.018 0.000 1.170 0.381 2.778
## 1592 2.000 -0.873 -0.051 -0.006 1.668 0.906 4.248
## 1593 1.500 -0.810 0.051 0.000 2.210 1.456 6.749
## 1594 2.000 -1.025 0.029 0.025 1.435 0.377 2.846
## 1595 2.000 -0.885 -0.011 -0.055 0.695 -0.061 2.080
## 1596 2.000 -0.770 -0.014 0.035 0.640 -0.277 2.155
## 1597 2.000 -0.930 -0.021 -0.010 0.740 0.014 2.573
## 1598 1.500 -1.130 -0.053 0.000 2.010 0.934 6.052
## 1599 2.000 -0.910 0.062 0.000 2.420 1.696 8.846
## 1600 2.000 -0.985 -0.087 -0.105 0.590 -0.351 2.619
## 1601 1.500 -1.510 0.013 0.020 1.220 -0.429 3.979
## 1602 2.000 -0.985 -0.075 -0.100 0.785 -0.148 3.401
## 1603 2.000 -0.708 -0.022 -0.022 0.882 0.447 2.863
## 1604 1.500 -0.870 -0.027 0.015 0.840 0.116 2.770
## 1605 2.000 -0.775 0.101 0.020 1.535 0.890 4.076
## 1606 2.000 -0.705 0.037 0.010 0.865 0.382 3.004
## 1607 2.000 -1.060 -0.051 -0.045 0.900 -0.210 2.699
## 1608 2.000 -0.910 0.009 0.065 1.030 0.111 2.812
## 1609 2.000 -0.635 0.010 0.070 1.015 0.276 2.940
## 1610 1.500 -0.770 0.064 0.075 0.970 -0.075 2.388
## 1611 1.500 -0.630 0.030 -0.010 0.750 0.127 2.193
## 1612 1.333 -0.650 0.040 0.035 0.810 -0.093 2.918
## 1613 2.000 -0.850 0.003 0.010 0.720 -0.194 3.561
## 1614 2.000 -1.230 -0.016 0.010 1.490 0.144 3.511
## 1615 Inf -0.930 0.000 -0.030 1.350 0.658 4.342
## 1616 Inf -0.830 -0.075 -0.065 0.590 -0.075 2.175
## 1617 2.000 -0.920 0.032 -0.025 0.930 0.177 3.061
## 1618 2.000 -1.030 -0.015 -0.005 1.000 -0.275 4.305
## 1619 2.000 -1.110 0.054 0.080 0.800 -0.438 2.899
## 1620 2.000 -1.740 -0.021 0.028 0.710 -1.324 6.314
## 1621 2.000 -1.520 -0.019 0.040 0.830 -0.886 4.191
## 1622 2.000 -1.600 -0.044 0.035 0.760 -1.154 4.525
## 1623 2.000 -0.885 -0.106 -0.050 0.580 -0.303 2.401
## 1624 2.000 -0.625 -0.033 -0.010 0.715 0.108 2.940
## 1625 2.000 -1.460 -0.047 -0.020 0.960 -0.353 3.459
## 1626 2.000 -0.990 0.031 -0.033 1.380 0.818 4.199
## 1627 2.000 -0.770 -0.003 -0.040 1.480 1.243 6.388
## 1628 2.000 -0.950 0.070 0.110 1.040 -0.044 2.680
## 1629 1.500 -0.860 0.082 0.075 0.980 0.081 2.425
## 1630 2.000 -1.760 -0.090 0.000 1.600 -0.062 4.244
## 1631 2.000 -1.560 -0.115 -0.035 1.300 -0.399 3.616
## 1632 5.000 -1.595 -0.104 0.000 0.795 -1.105 5.523
## 1633 2.000 -1.110 -0.006 -0.085 1.850 0.685 3.551
## 1634 2.000 -1.880 0.004 -0.080 0.940 -0.612 4.782
## 1635 1.500 -0.960 -0.209 -0.310 0.650 0.136 1.740
## 1636 2.000 -1.745 -0.161 -0.070 1.235 -0.326 3.127
## 1637 2.000 -1.000 0.085 0.000 1.440 0.252 2.736
## 1638 5.000 -1.000 0.006 0.000 2.430 1.841 8.759
## 1639 3.000 -1.205 -0.026 -0.040 1.375 0.466 4.965
## 1640 2.000 -0.830 -0.064 0.000 0.660 -0.216 2.381
## 1641 Inf -1.025 -0.076 0.010 0.555 -0.320 2.215
## 1642 2.000 -1.120 -0.067 0.000 0.760 -0.294 2.031
## 1643 2.000 -1.110 0.011 -0.030 1.040 0.073 2.350
## 1644 2.000 -0.980 -0.004 -0.030 0.940 0.219 4.292
## 1645 2.000 -1.950 -0.183 -0.095 1.605 -0.289 4.086
## 1646 1.500 -1.105 -0.072 -0.005 0.860 -0.457 3.189
## 1647 2.000 -1.270 -0.132 0.000 0.715 -0.477 2.513
## 1648 1.500 -2.705 -0.146 -0.100 1.005 -2.103 8.819
## 1649 2.000 -2.380 -0.122 -0.010 1.660 -0.247 2.835
## 1650 2.000 -1.760 -0.128 -0.080 1.440 -0.217 2.945
## 1651 2.000 -2.015 -0.233 -0.075 1.845 -0.354 3.125
## 1652 2.000 -1.305 -0.188 -0.140 0.770 -0.385 2.364
## 1653 2.000 -1.195 -0.001 0.007 0.835 -0.453 3.260
## 1654 2.000 -2.990 -0.248 -0.215 1.330 -1.073 6.362
## 1655 2.000 -1.360 -0.082 -0.045 0.550 -1.243 6.676
## 1656 1.500 -2.080 -0.012 -0.005 0.840 -1.487 7.292
## 1657 1.500 -2.325 -0.165 -0.120 1.715 -0.351 4.524
## 1658 2.000 -0.855 -0.098 -0.010 0.565 -0.329 2.775
## 1659 1.333 -1.140 -0.040 -0.030 1.010 0.061 3.039
## 1660 1.500 -1.470 -0.120 -0.115 1.150 -0.184 3.025
## 1661 2.000 -1.355 -0.043 -0.060 0.785 -0.320 2.704
## 1662 2.000 -1.315 -0.085 0.005 1.070 -0.287 2.339
## 1663 1.500 -1.100 -0.023 -0.065 1.080 -0.053 2.091
## 1664 1.500 -0.610 -0.009 -0.015 0.500 -0.301 3.746
## 1665 2.000 -0.980 -0.049 -0.055 0.900 0.007 2.960
## 1666 2.000 -0.980 -0.100 -0.205 0.870 0.345 2.275
## 1667 2.000 -2.195 -0.234 -0.055 1.335 -0.644 3.086
## 1668 2.000 -1.375 -0.083 -0.115 1.475 0.229 2.913
## 1669 Inf -1.930 -0.242 -0.095 0.800 -0.633 2.815
## 1670 2.000 -2.545 -0.216 -0.155 1.205 -0.480 4.238
## 1671 2.000 -1.320 -0.140 -0.140 0.810 -0.203 2.446
## 1672 2.000 -0.670 -0.026 -0.040 0.540 0.016 2.677
## 1673 2.000 -1.280 -0.067 -0.138 1.960 0.479 3.844
## 1674 2.000 -1.755 -0.112 -0.045 1.545 0.095 2.760
## 1675 1.500 -1.475 -0.082 -0.028 1.855 0.663 3.486
## 1676 2.000 -1.502 -0.040 -0.004 1.158 -0.469 4.266
## 1677 2.000 -1.875 -0.049 -0.095 1.105 -0.424 4.443
## 1678 2.000 -1.115 -0.132 -0.060 1.115 0.042 2.988
## 1679 2.000 -1.130 -0.072 -0.165 0.780 0.173 2.722
## 1680 2.000 -0.995 -0.125 -0.140 1.125 0.270 2.538
## 1681 2.000 -1.105 -0.115 -0.050 0.615 -0.486 2.573
## 1682 2.000 -1.985 -0.312 -0.153 0.605 -0.556 2.570
## 1683 3.500 -2.095 -0.102 0.000 1.685 -0.214 3.920
## 1684 2.000 -1.000 -0.018 0.015 1.140 0.151 3.066
## 1685 2.000 -0.998 -0.050 -0.005 1.062 0.088 2.030
## 1686 2.000 -1.380 -0.134 -0.205 1.000 -0.072 1.953
## 1687 2.000 -0.780 -0.021 -0.020 0.850 0.252 3.167
## 1688 2.000 -1.395 -0.120 -0.095 0.775 -0.342 3.892
## 1689 2.000 -1.050 -0.158 -0.095 1.280 0.476 3.314
## 1690 2.000 -0.980 -0.115 -0.140 0.700 -0.039 2.519
## 1691 2.000 -0.880 -0.131 -0.110 0.550 -0.104 1.679
## 1692 2.000 -1.900 -0.238 -0.150 0.850 -0.587 3.391
## 1693 2.000 -1.865 -0.223 -0.240 0.925 -0.434 3.417
## 1694 1.500 -0.910 -0.105 -0.130 0.800 0.122 2.429
## 1695 2.000 -1.130 -0.210 -0.200 0.860 0.136 2.117
## 1696 2.000 -1.050 -0.133 -0.120 0.920 0.144 2.251
## 1697 2.000 -1.185 -0.102 -0.015 0.975 -0.128 2.105
## 1698 2.000 -1.065 -0.058 -0.165 1.075 0.197 2.576
## 1699 2.000 -0.620 -0.081 -0.110 0.650 0.314 2.827
## 1700 1.500 -1.092 -0.076 -0.142 1.258 0.562 3.900
## 1701 2.000 -1.100 -0.079 -0.110 1.310 0.295 3.190
## 1702 2.000 -1.220 -0.125 -0.172 1.410 0.491 3.536
## 1703 1.500 -1.250 -0.141 -0.085 1.070 0.221 2.904
## 1704 2.000 -1.555 -0.183 -0.235 1.115 0.087 2.838
## 1705 2.000 -1.330 0.009 -0.010 1.970 0.522 4.636
## 1706 2.000 -1.760 -0.111 -0.018 2.000 0.132 4.355
## 1707 2.000 -1.360 -0.061 -0.075 1.450 0.132 3.024
## 1708 2.000 -1.270 -0.059 -0.090 0.960 -0.005 2.541
## 1709 Inf -1.100 -0.125 -0.095 1.020 0.063 1.956
## 1710 1.500 -1.200 -0.149 -0.182 0.730 0.153 2.438
## 1711 2.000 -1.250 -0.075 -0.095 1.340 0.034 3.147
## 1712 2.000 -0.870 -0.004 -0.050 1.230 0.330 2.390
## 1713 2.000 -1.030 0.053 0.000 1.440 0.256 2.615
## 1714 2.000 -1.090 -0.055 -0.030 0.970 0.325 3.036
## 1715 2.000 -0.850 -0.054 -0.070 1.190 0.529 3.511
## 1716 2.000 -1.090 -0.066 -0.005 0.810 -0.440 3.187
## 1717 4.000 -3.880 -0.349 -0.110 1.050 -1.411 6.374
## 1718 2.000 -1.070 -0.021 -0.045 0.940 0.157 3.251
## 1719 2.000 -0.945 -0.035 -0.020 0.895 -0.162 2.734
## 1720 1.500 -1.220 -0.069 -0.040 0.960 -0.093 3.136
## 1721 2.000 -0.990 -0.095 -0.045 0.640 -0.118 3.390
## 1722 2.500 -1.265 -0.134 -0.075 0.655 -0.375 3.170
## 1723 1.500 -0.940 -0.104 -0.090 0.580 -0.128 1.982
## 1724 2.000 -1.035 -0.056 -0.040 0.685 -0.533 3.124
## 1725 1.500 -1.270 -0.172 -0.105 0.880 -0.515 3.630
## 1726 2.000 -1.040 0.031 -0.050 1.210 0.517 3.411
## 1727 2.000 -0.860 -0.023 0.005 1.040 0.214 2.999
## 1728 2.000 -1.035 -0.074 -0.210 0.945 0.254 2.166
## 1729 1.500 -1.435 -0.153 -0.040 0.925 -0.486 2.920
## 1730 2.000 -1.440 -0.078 0.055 0.710 -0.613 2.516
## 1731 2.000 -0.965 -0.123 -0.040 0.705 -0.057 2.287
## 1732 1.500 -1.120 -0.104 -0.060 0.650 -0.691 3.164
## 1733 1.333 -0.880 -0.034 -0.065 0.710 -0.302 3.827
## 1734 2.000 -1.830 -0.167 0.060 1.210 -0.499 2.869
## 1735 Inf -0.730 -0.103 -0.115 0.460 -0.028 2.526
## 1736 2.000 -0.990 -0.043 -0.045 1.160 0.428 3.243
## 1737 1.500 -1.210 -0.184 -0.220 1.460 0.588 3.427
## 1738 1.333 -1.115 -0.124 -0.045 1.115 0.355 3.346
## 1739 2.000 -1.155 -0.157 -0.255 1.075 0.403 2.738
## 1740 2.000 -0.960 -0.059 -0.025 0.730 -0.206 2.966
## 1741 2.000 -1.205 0.013 -0.040 1.175 0.125 2.402
## 1742 1.500 -0.720 -0.026 -0.050 0.900 0.152 2.087
## 1743 2.000 -1.340 -0.098 -0.050 0.910 -0.301 3.113
## 1744 2.000 -1.320 -0.086 -0.130 1.060 -0.182 2.899
## 1745 2.000 -1.555 -0.031 -0.125 1.265 -0.079 2.141
## 1746 2.000 -0.950 -0.082 -0.100 1.060 0.209 2.600
## 1747 2.000 -1.240 -0.119 -0.053 0.970 -0.294 3.451
## 1748 2.000 -1.320 -0.057 -0.060 1.380 0.112 3.139
## 1749 2.000 -1.120 -0.027 -0.055 1.600 0.470 3.380
## 1750 2.000 -1.360 0.053 0.000 1.960 0.665 4.154
## 1751 2.000 -1.160 -0.056 0.000 1.400 0.511 3.925
## 1752 2.000 -1.100 -0.037 -0.010 1.170 0.063 3.097
## 1753 2.000 -1.000 -0.001 0.000 1.740 0.683 3.296
## 1754 Inf -0.820 0.095 -0.005 2.130 0.775 3.518
## 1755 2.000 -1.070 0.051 -0.060 2.370 1.436 5.861
## 1756 2.000 -1.125 0.081 -0.117 2.525 1.476 5.993
## 1757 2.000 -1.580 -0.061 -0.045 1.590 0.261 3.254
## 1758 2.000 -0.920 0.107 0.000 2.530 1.330 4.992
## 1759 2.000 -0.910 -0.069 -0.175 1.390 1.030 5.877
## 1760 2.000 -1.310 -0.035 -0.065 1.140 0.303 3.080
## 1761 2.000 -0.960 -0.078 -0.050 1.550 0.639 3.915
## 1762 2.000 -1.452 0.054 -0.020 2.197 0.747 4.295
## 1763 1.500 -1.075 -0.038 -0.015 1.305 0.475 3.307
## 1764 1.500 -0.770 0.020 -0.045 1.160 0.362 2.963
## 1765 2.000 -0.835 0.011 0.020 1.335 0.228 3.931
## 1766 2.000 -1.450 -0.027 0.010 1.040 -0.252 3.820
## 1767 2.000 -0.953 -0.002 -0.038 1.327 0.332 2.925
## 1768 2.000 -1.070 -0.023 -0.095 1.650 0.431 3.415
## 1769 2.000 -1.460 -0.119 -0.105 0.730 -0.543 3.446
## 1770 2.000 -1.375 0.055 0.035 1.605 0.100 3.846
## 1771 2.000 -1.350 0.002 0.005 1.530 0.267 4.001
## 1772 2.000 -0.845 0.212 0.002 2.185 1.075 4.272
## 1773 2.000 -0.790 0.128 0.030 1.950 0.993 4.012
## 1774 2.000 -0.700 0.066 0.000 1.700 0.831 3.979
## 1775 2.000 -0.845 0.028 -0.015 1.755 0.764 4.003
## 1776 2.000 -0.970 0.017 -0.015 2.330 1.817 9.544
## 1777 2.000 -1.495 -0.069 -0.130 1.985 0.649 4.463
## 1778 2.000 -0.680 0.087 -0.050 1.580 0.694 3.026
## 1779 2.000 -0.805 0.044 -0.070 1.355 0.681 3.166
## 1780 2.000 -1.230 0.016 0.030 1.120 0.062 3.175
## 1781 2.000 -0.890 0.038 0.032 0.990 0.239 3.218
## 1782 1.500 -0.895 0.024 0.000 1.265 0.495 2.724
## 1783 2.000 -0.880 0.077 0.050 1.240 0.179 2.655
## 1784 2.000 -0.760 0.011 -0.007 1.065 0.401 2.353
## 1785 2.000 -0.810 0.039 -0.005 1.095 0.340 2.823
## 1786 2.000 -0.580 0.057 0.025 0.990 0.541 2.622
## 1787 2.000 -0.940 0.031 0.010 0.940 -0.229 2.640
## 1788 2.000 -1.330 -0.023 -0.220 1.320 0.252 2.674
## 1789 2.000 -2.210 0.024 0.060 0.970 -1.138 6.701
## 1790 2.000 -1.820 -0.078 -0.020 1.600 0.094 3.368
## 1791 2.000 -1.295 -0.081 -0.205 1.435 0.446 3.033
## 1792 2.500 -0.845 0.021 -0.037 1.785 0.822 3.511
## 1793 1.500 -0.790 0.002 -0.105 1.110 0.537 3.324
## 1794 2.000 -1.435 -0.113 -0.075 0.885 -0.331 3.320
## 1795 2.000 -0.910 -0.082 -0.040 1.005 0.240 3.037
## 1796 2.000 -0.980 -0.109 -0.040 0.480 -0.641 3.048
## 1797 2.000 -0.995 -0.073 -0.030 0.585 -0.541 3.544
## 1798 1.500 -0.850 -0.007 -0.025 0.930 0.044 2.504
## 1799 2.000 -0.710 0.124 0.030 1.160 0.326 2.665
## 1800 2.000 -0.985 0.030 0.050 0.875 -0.108 2.961
## 1801 2.000 -1.270 -0.063 -0.025 0.750 -0.468 3.279
## 1802 2.000 -1.060 -0.057 -0.055 1.335 0.496 3.212
## 1803 2.000 -0.890 -0.161 -0.135 0.580 0.046 1.825
## 1804 2.000 -0.820 0.024 0.045 0.850 -0.030 2.272
## 1805 1.500 -0.910 -0.058 0.000 0.690 -0.248 2.030
## 1806 2.000 -1.100 -0.103 -0.030 0.680 -0.186 2.356
## 1807 Inf -0.830 -0.094 -0.065 0.740 -0.116 2.093
## 1808 2.000 -1.095 -0.019 -0.065 1.095 0.169 2.781
## 1809 2.000 -0.620 -0.033 -0.035 0.760 0.732 3.204
## 1810 2.000 -1.312 -0.053 -0.043 1.067 -0.045 3.495
## 1811 2.000 -0.860 -0.092 -0.105 0.800 0.228 3.240
## 1812 1.500 -0.715 -0.047 -0.055 1.220 0.639 3.921
## 1813 2.000 -1.090 0.009 -0.008 1.520 0.863 5.134
## 1814 2.000 -1.280 -0.133 -0.040 0.570 -0.931 3.794
## 1815 2.000 -1.165 -0.089 -0.225 0.980 0.119 2.159
## 1816 2.000 -1.220 -0.114 -0.060 0.580 -0.538 2.565
## 1817 2.000 -1.080 -0.092 0.000 0.930 -0.249 2.576
## 1818 2.000 -1.170 -0.139 -0.230 1.180 0.168 2.390
## 1819 2.000 -1.580 -0.040 -0.010 1.300 -0.441 3.499
## 1820 2.000 -0.960 -0.103 -0.080 0.730 -0.151 2.281
## 1821 1.500 -1.080 -0.123 -0.045 0.580 -0.466 2.847
## 1822 2.000 -2.810 -0.294 -0.255 0.770 -1.551 7.374
## 1823 2.000 -1.200 -0.183 -0.065 1.335 0.292 4.671
## 1824 2.000 -1.390 -0.095 -0.125 0.765 -0.353 2.735
## 1825 2.000 -1.770 -0.177 -0.005 0.640 -0.807 3.554
## 1826 2.000 -0.625 0.029 0.000 0.990 0.178 2.436
## 1827 2.000 -1.125 -0.141 -0.055 0.615 -0.516 2.554
## 1828 1.333 -1.030 -0.074 -0.070 0.940 -0.008 2.964
## 1829 2.000 -0.825 -0.005 -0.055 1.175 0.519 3.291
## 1830 2.000 -0.780 -0.089 -0.070 0.790 0.261 2.688
## 1831 1.500 -1.100 -0.043 0.000 1.035 0.022 3.172
## 1832 2.000 -1.060 -0.113 -0.140 0.880 -0.078 2.071
## 1833 Inf -1.240 -0.112 -0.100 1.330 0.135 3.593
## 1834 1.500 -1.210 0.018 0.000 0.820 -0.251 3.617
## 1835 2.000 -1.015 -0.008 -0.040 1.390 0.537 3.196
## 1836 1.500 -1.550 0.095 0.000 3.020 0.860 3.846
## 1837 3.000 -2.045 0.020 -0.160 2.965 0.540 3.132
## 1838 2.000 -1.700 -0.154 0.000 1.230 -0.421 2.460
## 1839 2.000 -1.200 -0.071 -0.030 1.260 0.097 2.408
## 1840 3.000 -2.140 -0.229 -0.085 1.350 -0.548 3.966
## 1841 2.000 -1.700 0.079 -0.240 3.450 1.026 3.468
## 1842 Inf -1.850 -0.110 -0.185 1.110 -0.075 2.710
## 1843 2.000 -1.480 0.067 -0.025 2.030 0.453 4.031
## 1844 1.500 -0.790 -0.067 -0.100 0.950 0.545 3.888
## 1845 2.000 -0.820 -0.032 -0.020 1.100 0.406 3.059
## 1846 1.500 -0.870 -0.065 -0.010 0.890 0.188 2.552
## 1847 1.500 -1.020 -0.049 -0.020 0.750 -0.456 2.935
## 1848 2.000 -1.910 0.062 0.000 1.570 -0.243 3.316
## 1849 2.000 -1.410 0.011 -0.040 1.480 0.240 2.746
## 1850 2.000 -1.245 0.084 0.000 1.805 0.557 3.785
## 1851 2.000 -1.210 -0.027 0.000 0.900 -0.323 3.097
## 1852 2.000 -0.855 -0.015 -0.025 1.000 0.252 4.113
## 1853 2.000 -0.990 -0.029 -0.025 0.730 -0.198 3.313
## 1854 1.500 -1.300 -0.122 -0.005 0.670 -0.698 2.973
## 1855 2.000 -1.495 -0.080 -0.030 1.375 -0.227 3.215
## 1856 2.000 -1.055 -0.102 -0.075 1.005 0.200 2.116
## 1857 2.000 -1.070 -0.200 -0.070 0.650 -0.553 2.777
## 1858 1.500 -0.855 -0.071 -0.080 0.660 0.017 2.371
## 1859 2.000 -0.790 -0.132 -0.220 1.460 1.119 4.981
## 1860 2.000 -1.780 -0.222 -0.170 1.320 -0.073 4.446
## 1861 1.500 -1.610 -0.234 -0.245 1.480 0.248 4.167
## 1862 1.500 -0.800 -0.124 -0.050 1.120 0.539 4.229
## 1863 2.000 -0.780 -0.004 0.015 1.265 0.617 3.788
## 1864 1.500 -1.835 -0.001 -0.005 1.460 -0.261 4.741
## 1865 1.500 -1.210 -0.028 -0.060 1.210 0.239 6.872
## 1866 1.500 -0.660 -0.067 0.000 0.410 -0.846 2.882
## 1867 2.000 -1.680 0.028 -0.015 1.270 -0.146 3.208
## 1868 2.000 -1.115 -0.038 -0.045 1.165 0.246 2.711
## 1869 2.000 -1.040 -0.152 -0.140 0.760 -0.132 1.912
## 1870 2.000 -1.115 -0.154 -0.045 0.450 -0.679 2.875
## 1871 2.000 -1.520 -0.215 -0.090 0.690 -0.462 2.400
## 1872 2.000 -0.990 -0.068 -0.020 0.730 -0.154 2.868
## 1873 2.000 -1.675 -0.160 -0.020 0.845 -0.572 2.958
## 1874 2.000 -0.995 -0.113 -0.125 0.555 -0.445 2.840
## 1875 2.000 -0.955 0.012 0.000 0.815 -0.043 2.830
## 1876 2.000 -1.575 -0.090 -0.035 1.045 -0.107 3.848
## 1877 2.000 -2.450 -0.259 -0.200 1.670 -0.094 3.508
## 1878 2.000 -1.085 -0.144 -0.170 1.095 0.345 2.691
## 1879 2.000 -1.190 0.004 -0.045 1.200 0.132 2.652
## 1880 2.000 -0.885 -0.076 -0.110 0.825 0.020 2.074
## 1881 2.000 -1.080 -0.108 -0.070 1.190 0.263 2.661
## 1882 2.000 -0.800 -0.075 -0.055 0.620 0.110 2.933
## 1883 2.000 -1.155 -0.158 -0.005 1.020 -0.071 2.310
## 1884 2.000 -0.730 -0.068 -0.090 0.710 0.100 2.627
## 1885 2.000 -0.625 -0.048 -0.065 0.760 0.132 2.552
## 1886 1.500 -0.540 -0.067 -0.040 0.440 0.057 2.649
## 1887 2.000 -1.360 -0.139 -0.125 0.640 -0.471 2.749
## 1888 2.000 -0.575 -0.004 -0.020 0.845 0.940 4.728
## 1889 2.000 -0.780 -0.053 -0.075 1.040 0.738 3.454
## 1890 1.500 -0.805 -0.057 -0.050 0.915 0.515 4.284
## 1891 1.500 -0.540 -0.032 0.000 0.780 0.285 4.229
## 1892 2.000 -0.840 -0.089 -0.060 0.900 0.155 2.869
## 1893 2.000 -0.690 -0.122 -0.065 0.490 0.013 2.349
## 1894 2.000 -1.080 -0.134 -0.055 0.890 -0.002 2.537
## 1895 1.500 -0.843 -0.004 -0.040 1.388 0.894 5.733
## 1896 1.500 -0.730 -0.049 -0.015 0.950 0.355 3.582
## 1897 2.000 -0.560 -0.042 -0.050 0.590 0.226 2.214
## 1898 1.500 -0.740 -0.028 -0.040 0.510 -0.009 2.826
## 1899 1.500 -1.342 -0.128 -0.028 0.418 -1.070 4.981
## 1900 1.500 -0.735 -0.027 -0.065 0.550 0.035 2.286
## 1901 2.000 -0.860 -0.103 -0.110 1.000 0.232 2.463
## 1902 2.000 -1.450 -0.061 -0.090 0.930 -0.100 3.165
## 1903 1.500 -1.115 -0.065 -0.095 0.935 0.035 2.520
## 1904 2.000 -1.090 -0.033 -0.075 1.170 0.226 2.582
## 1905 2.000 -0.810 0.033 -0.025 1.280 0.550 3.489
## 1906 1.500 -0.690 -0.003 -0.010 1.310 0.965 4.961
## 1907 1.500 -0.820 -0.053 -0.057 1.150 0.456 3.409
## 1908 1.500 -1.200 -0.022 -0.020 1.190 -0.216 2.873
## 1909 2.000 -1.430 -0.114 -0.060 0.960 -0.347 3.338
## 1910 2.000 -1.125 -0.066 0.000 0.625 -0.632 3.475
## 1911 2.000 -1.080 -0.126 -0.040 1.060 0.185 2.646
## 1912 2.000 -0.920 -0.037 -0.075 0.880 0.103 2.233
## 1913 2.000 -1.125 -0.129 -0.160 1.095 0.240 2.337
## 1914 2.000 -0.830 -0.043 -0.105 0.840 0.632 2.742
## 1915 Inf -1.025 -0.036 -0.030 0.800 -0.264 2.401
## 1916 1.500 -1.175 -0.086 -0.035 0.675 -0.494 3.234
## 1917 2.000 -0.900 -0.108 -0.015 0.590 -0.399 2.893
## 1918 2.000 -1.090 -0.054 -0.075 1.160 0.129 2.268
## 1919 1.500 -1.050 -0.138 -0.150 0.950 0.187 2.538
## 1920 2.000 -1.085 -0.113 -0.045 0.735 -0.410 3.079
## 1921 2.000 -0.995 -0.060 -0.040 0.840 -0.234 2.803
## 1922 2.000 -1.245 -0.061 -0.035 0.470 -0.994 4.877
## 1923 2.000 -1.045 -0.047 -0.060 0.945 -0.159 3.109
## 1924 2.000 -1.690 -0.066 -0.020 0.890 -0.758 3.966
## 1925 2.000 -1.490 -0.088 -0.035 1.330 -0.370 4.442
## 1926 2.000 -2.005 -0.067 0.070 0.705 -1.419 5.906
## 1927 4.000 -1.105 -0.034 0.000 0.735 -0.415 2.724
## 1928 2.000 -1.515 -0.001 -0.025 1.235 0.112 2.995
## 1929 2.000 -0.900 -0.048 -0.085 0.470 -0.268 2.665
## 1930 2.000 -0.755 0.027 -0.035 0.790 0.088 1.888
## 1931 2.000 -1.100 -0.012 -0.060 1.340 0.244 2.163
## 1932 2.000 -0.625 0.025 -0.015 1.160 0.700 3.429
## 1933 2.000 -0.810 -0.002 -0.050 0.985 0.552 2.742
## 1934 2.000 -0.920 -0.032 -0.020 0.880 -0.143 2.824
## 1935 2.000 -1.135 -0.068 0.040 0.725 -0.391 2.384
## 1936 1.500 -0.790 -0.024 -0.010 0.800 0.065 2.707
## 1937 2.000 -1.180 -0.021 -0.040 1.070 -0.209 4.352
## 1938 2.000 -1.280 -0.012 0.000 1.330 0.048 3.723
## 1939 2.000 -1.165 -0.127 -0.050 0.715 -0.472 3.183
## 1940 2.000 -1.335 -0.150 -0.175 0.880 -0.265 2.439
## 1941 2.000 -0.955 -0.077 -0.040 0.655 -0.366 2.912
## 1942 2.000 -1.050 -0.173 -0.100 0.830 -0.001 2.129
## 1943 2.000 -0.745 -0.038 -0.005 0.630 -0.261 2.505
## 1944 2.000 -0.845 -0.017 -0.110 1.235 0.697 3.209
## 1945 2.000 -1.770 -0.184 -0.192 1.550 0.257 2.370
## 1946 2.000 -0.755 -0.042 -0.050 0.895 0.566 2.568
## 1947 2.000 -0.970 -0.081 -0.185 0.930 0.356 2.755
## 1948 2.000 -1.565 0.031 -0.150 2.335 0.903 3.572
## 1949 2.000 -1.092 -0.022 -0.078 1.488 0.813 3.477
## 1950 2.000 -1.405 -0.043 -0.195 1.865 0.858 4.108
## 1951 2.000 -1.025 -0.100 -0.200 1.275 0.724 3.551
## 1952 2.000 -0.950 -0.069 -0.055 0.960 0.269 2.692
## 1953 1.500 -1.100 -0.057 0.000 0.530 -0.493 2.933
## 1954 2.000 -1.035 -0.082 -0.010 0.665 -0.753 3.319
## 1955 2.000 -1.240 -0.079 -0.010 0.570 -1.095 4.158
## 1956 Inf -1.075 -0.112 -0.100 0.735 -0.206 2.722
## 1957 2.000 -0.905 -0.083 -0.050 0.645 -0.447 2.690
## 1958 2.000 -1.250 -0.082 -0.005 0.810 -0.394 2.658
## 1959 1.500 -1.070 -0.062 -0.045 0.920 0.344 2.611
## 1960 2.000 -0.690 0.019 -0.020 0.810 0.559 2.729
## 1961 2.000 -0.780 -0.084 -0.080 0.830 0.336 3.055
## 1962 2.000 -1.045 -0.155 -0.160 1.475 1.058 6.332
## 1963 1.500 -0.735 -0.034 -0.040 0.835 -0.121 2.938
## 1964 2.000 -0.750 -0.064 -0.110 0.850 0.543 2.386
## 1965 1.500 -0.840 -0.048 -0.030 0.670 -0.256 3.502
## 1966 2.000 -1.240 0.035 -0.025 1.410 0.371 3.386
## 1967 2.000 -1.380 -0.088 -0.035 0.990 -0.451 3.703
## 1968 2.000 -1.390 -0.080 -0.100 2.040 0.789 3.804
## 1969 2.000 -1.220 0.002 -0.005 1.470 0.278 3.770
## 1970 2.000 -0.815 -0.020 -0.025 1.565 0.933 5.156
## 1971 2.000 -0.950 0.016 -0.025 2.080 1.086 6.131
## 1972 Inf -1.610 -0.063 0.000 1.095 -0.222 2.572
## 1973 2.000 -0.910 -0.068 -0.055 0.730 0.083 2.321
## 1974 2.000 -0.590 -0.058 -0.100 0.590 0.414 2.792
## 1975 1.500 -0.660 -0.105 -0.070 0.870 0.571 4.045
## 1976 2.000 -0.700 -0.121 -0.070 0.555 -0.035 2.503
## 1977 1.500 -0.810 -0.074 -0.035 0.480 -0.417 3.278
## 1978 2.000 -1.545 -0.179 -0.055 0.885 -0.772 4.010
## 1979 2.500 -1.745 -0.144 -0.020 2.255 0.537 4.651
## 1980 1.500 -2.385 -0.381 -0.265 1.555 -0.211 2.700
## 1981 1.500 -2.120 -0.300 -0.190 1.270 -0.205 2.546
## 1982 1.500 -0.890 0.051 0.000 1.565 0.759 3.850
## 1983 2.000 -0.875 -0.104 -0.068 1.055 0.184 2.318
## 1984 2.000 -1.410 -0.216 -0.135 1.120 0.250 2.495
## 1985 2.000 -1.250 -0.087 -0.060 1.040 -0.038 3.515
## 1986 2.000 -1.130 -0.017 -0.025 1.240 0.059 3.314
## 1987 2.000 -2.440 -0.179 -0.170 1.040 -1.206 6.805
## 1988 2.000 -1.370 -0.272 -0.190 1.130 0.060 2.657
## 1989 2.000 -1.785 -0.188 -0.217 1.500 0.026 3.369
## 1990 1.500 -1.150 -0.052 -0.120 1.165 -0.156 2.796
## 1991 2.000 -1.040 -0.012 -0.090 1.230 0.320 2.294
## 1992 Inf -1.355 0.020 -0.045 1.455 0.181 2.748
## 1993 1.500 -1.065 -0.027 -0.032 1.315 0.535 3.868
## 1994 3.000 -1.280 -0.068 -0.025 1.150 0.097 4.391
## 1995 2.000 -1.208 -0.039 -0.048 0.912 -0.286 2.871
## 1996 2.000 -1.280 -0.018 -0.005 1.230 0.073 3.475
## 1997 2.000 -1.270 0.006 0.000 1.050 -0.250 3.595
## 1998 1.500 -1.080 -0.006 -0.025 0.920 -0.258 4.772
## 1999 2.000 -0.720 0.041 0.005 0.780 0.242 2.862
## 2000 Inf -0.835 -0.044 -0.040 0.795 0.051 2.653
## 2001 2.000 -0.530 -0.040 -0.095 0.590 0.556 2.092
## 2002 2.000 -0.880 -0.078 -0.065 1.050 0.269 2.536
## 2003 1.500 -1.200 -0.087 -0.190 1.330 0.292 2.636
## 2004 2.000 -0.800 -0.057 0.010 0.670 -0.349 2.349
## 2005 2.000 -1.270 -0.052 -0.060 0.860 -0.134 3.060
## 2006 2.000 -1.060 -0.116 -0.025 0.650 -0.503 2.614
## 2007 2.000 -2.280 -0.166 -0.110 0.740 -1.193 5.371
## 2008 2.000 -4.170 -0.689 -0.120 1.290 -0.974 2.793
## 2009 1.500 -4.435 -0.564 -0.038 1.365 -1.179 3.484
## 2010 2.000 -0.860 -0.084 -0.015 0.600 -0.066 2.340
## 2011 2.000 -0.625 -0.049 -0.085 0.630 0.313 2.088
## 2012 1.500 -0.815 -0.040 -0.030 1.405 0.519 3.303
## 2013 2.000 -0.875 0.009 -0.020 0.995 0.283 2.744
## 2014 1.500 -0.505 0.029 -0.002 1.125 1.661 7.600
## 2015 1.500 -1.745 -0.161 -0.265 1.585 0.150 3.214
## 2016 2.000 -0.860 -0.082 -0.040 0.470 -0.506 3.288
## 2017 2.000 -0.720 -0.057 -0.065 1.070 0.783 4.383
## 2018 2.000 -0.685 -0.027 -0.050 1.245 0.847 3.527
## 2019 1.500 -0.860 0.014 0.005 0.700 -0.237 2.956
## 2020 2.000 -0.765 -0.026 -0.065 1.105 0.553 3.752
## 2021 1.500 -1.165 -0.170 -0.115 0.655 -0.216 2.497
## 2022 2.000 -0.705 -0.149 -0.060 0.975 0.529 3.748
## 2023 2.000 -1.245 -0.127 0.000 0.625 -0.543 2.407
## 2024 2.000 -1.800 -0.155 -0.165 1.310 0.039 2.548
## 2025 Inf -3.770 -0.705 -0.305 1.300 -0.819 2.489
## 2026 Inf -1.565 -0.127 -0.030 1.205 -0.075 2.331
## 2027 2.000 -1.250 0.013 0.015 1.040 -0.356 3.166
## 2028 2.000 -1.050 -0.015 -0.030 1.070 -0.067 2.752
## 2029 2.000 -1.100 -0.069 -0.050 0.990 -0.188 3.517
## 2030 2.000 -2.350 -0.175 -0.070 1.260 -0.837 3.576
## 2031 2.000 -1.390 -0.093 0.005 1.040 -0.563 2.841
## 2032 2.000 -0.990 -0.034 -0.010 0.990 -0.302 2.588
## 2033 2.000 -1.005 0.018 0.075 1.000 -0.178 2.010
## 2034 2.000 -0.805 -0.069 0.015 0.635 -0.230 1.995
## 2035 2.000 -0.690 -0.083 -0.030 0.480 -0.145 1.654
## 2036 2.000 -0.985 -0.105 -0.045 0.755 -0.102 2.625
## 2037 2.000 -1.015 0.024 0.013 1.135 0.080 2.665
## 2038 1.500 -1.070 0.011 -0.030 0.710 -0.205 4.020
## 2039 2.000 -1.710 -0.191 -0.135 0.720 -0.542 2.462
## 2040 2.000 -1.910 -0.064 0.005 0.680 -1.656 7.103
## 2041 Inf -1.140 0.016 -0.060 1.870 0.818 3.740
## 2042 2.000 -1.545 -0.003 -0.050 1.365 -0.019 3.723
## 2043 1.500 -1.655 -0.190 0.000 0.615 -0.801 2.747
## 2044 2.000 -0.965 -0.097 -0.115 1.215 0.420 4.838
## 2045 1.500 -0.955 -0.100 0.000 0.660 -0.256 2.186
## 2046 2.000 -1.215 -0.043 -0.055 1.065 0.081 2.108
## 2047 2.000 -1.475 -0.120 -0.040 0.625 -0.757 3.394
## 2048 2.000 -1.460 -0.235 -0.175 0.435 -1.090 3.700
## 2049 2.000 -1.485 -0.013 -0.002 1.095 -0.489 3.699
## 2050 1.500 -0.740 -0.035 -0.020 1.290 0.745 3.907
## 2051 2.000 -0.915 -0.023 -0.090 1.365 0.637 3.842
## 2052 Inf -1.340 -0.168 -0.350 1.070 0.217 1.839
## 2053 Inf -1.280 -0.136 -0.162 1.060 -0.001 3.010
## 2054 2.000 -1.150 -0.158 -0.210 1.060 0.227 2.799
## 2055 2.000 -1.120 -0.156 -0.140 0.870 -0.148 2.407
## 2056 2.000 -0.945 -0.177 -0.145 0.945 0.253 2.534
## 2057 2.000 -1.035 -0.019 -0.055 1.305 0.524 3.263
## 2058 2.000 -1.165 -0.108 -0.140 0.895 -0.022 2.434
## 2059 2.500 -1.480 -0.051 0.000 0.860 -0.542 3.367
## 2060 2.000 -2.770 -0.134 -0.070 1.375 -1.133 5.505
## 2061 2.000 -1.055 0.039 -0.030 0.990 0.154 2.269
## 2062 2.000 -1.070 -0.129 -0.045 1.245 0.271 2.445
## 2063 2.000 -1.238 -0.136 -0.078 0.593 -0.482 2.952
## 2064 2.000 -1.020 0.014 -0.035 2.070 1.113 4.233
## 2065 4.500 -1.510 0.079 0.000 3.460 1.516 5.709
## 2066 11.000 -1.475 -0.174 0.000 2.035 0.754 4.205
## 2067 2.000 -0.975 0.053 0.000 1.665 0.565 2.742
## 2068 5.000 -2.700 0.177 -0.010 4.460 0.944 3.351
## 2069 2.000 -1.940 -0.016 -0.180 2.190 0.375 2.526
## 2070 5.000 -1.970 0.022 0.000 2.690 0.507 3.013
## 2071 2.000 -2.320 -0.502 -0.825 2.380 0.334 1.870
## 2072 12.000 -1.140 0.125 0.000 2.810 1.554 5.234
## 2073 5.000 -1.370 -0.048 0.000 1.340 0.218 5.097
## 2074 1.500 -2.130 0.051 -0.115 4.480 1.080 4.136
## 2075 2.000 -1.900 0.119 -0.055 3.860 1.481 6.217
## 2076 4.500 -1.590 0.031 0.000 2.840 1.188 4.782
## 2077 6.000 -1.010 -0.050 0.000 1.020 0.110 3.051
## 2078 1.500 -0.750 0.005 -0.010 1.630 1.456 7.472
## 2079 2.000 -0.995 -0.120 -0.050 0.645 -0.441 2.665
## 2080 8.000 -1.660 -0.219 0.000 0.830 -0.843 3.612
## 2081 21.000 -1.460 -0.121 0.000 1.670 0.289 4.868
## 2082 8.000 -1.560 -0.114 0.000 1.570 -0.063 4.225
## 2083 6.500 -1.610 -0.100 0.000 1.580 0.223 5.844
## 2084 6.000 -0.985 -0.181 -0.055 0.425 -0.537 2.360
## 2085 12.000 -1.340 0.142 0.000 3.190 1.395 4.795
## 2086 17.000 -1.510 -0.205 0.000 1.130 -0.454 3.197
## 2087 2.000 -1.295 0.179 -0.120 2.625 0.929 3.248
## 2088 2.000 -1.020 0.024 0.000 1.110 0.014 3.076
## 2089 2.000 -0.630 -0.008 -0.005 0.430 -0.179 2.429
## 2090 2.000 -1.075 0.010 0.010 0.725 -0.514 3.082
## 2091 1.500 -0.800 -0.063 -0.035 0.450 -0.374 3.047
## 2092 2.000 -1.190 -0.019 -0.045 0.640 -0.456 3.875
## 2093 2.000 -0.785 -0.091 -0.095 0.765 0.319 2.621
## 2094 2.000 -0.585 -0.074 -0.090 0.675 0.654 3.058
## 2095 2.000 -0.590 -0.103 -0.070 0.550 0.146 2.556
## 2096 3.000 -0.525 -0.059 -0.095 0.555 0.458 2.757
## 2097 2.000 -1.270 -0.187 -0.095 0.410 -0.877 3.589
## 2098 1.500 -0.705 -0.084 -0.025 0.725 0.244 3.254
## 2099 2.000 -0.600 -0.037 -0.093 0.590 0.222 2.606
## 2100 1.500 -1.070 -0.109 -0.028 0.570 -0.829 4.203
## 2101 2.000 -1.195 -0.132 -0.180 0.625 -0.192 2.961
## 2102 8.000 -2.480 -0.046 0.000 2.930 0.482 4.544
## 2103 2.000 -1.030 -0.021 0.000 1.090 -0.113 3.691
## 2104 1.500 -0.730 -0.021 -0.055 0.780 0.087 2.546
## 2105 1.500 -0.750 -0.141 -0.110 0.430 -0.148 2.413
## 2106 2.000 -1.587 -0.185 -0.187 0.763 -0.423 3.212
## 2107 2.000 -1.450 -0.151 -0.355 3.450 1.810 7.898
## 2108 3.667 -1.245 -0.110 0.000 1.015 0.147 4.115
## 2109 2.000 -1.610 -0.009 -0.027 1.085 -0.513 4.209
## 2110 2.000 -1.675 -0.076 -0.080 1.115 -0.372 3.824
## 2111 2.000 -1.175 -0.057 -0.020 0.665 -0.460 4.162
## 2112 2.000 -1.580 0.003 0.045 1.080 -0.482 2.890
## 2113 2.500 -0.740 0.050 0.000 1.040 0.356 3.635
## 2114 2.000 -1.100 -0.132 -0.195 0.970 0.277 3.025
## 2115 2.000 -2.330 -0.170 -0.200 0.910 -0.768 4.976
## 2116 2.000 -1.960 -0.145 -0.105 0.620 -1.606 8.094
## 2117 2.000 -1.300 -0.102 -0.005 0.640 -0.642 2.831
## 2118 2.000 -0.700 -0.055 -0.100 0.720 0.402 2.314
## 2119 2.000 -0.825 -0.071 -0.028 1.075 0.353 2.943
## 2120 2.000 -0.920 -0.019 -0.085 1.040 0.326 2.643
## 2121 2.000 -1.320 -0.052 -0.030 0.880 -0.220 2.452
## 2122 2.000 -0.985 -0.065 -0.135 1.065 0.365 2.708
## 2123 2.000 -0.955 -0.015 -0.095 1.105 0.296 2.613
## 2124 2.000 -1.445 -0.025 -0.010 1.015 -0.270 2.976
## 2125 2.000 -0.850 -0.026 -0.065 0.940 0.764 3.411
## 2126 2.000 -0.930 -0.048 -0.035 0.565 -0.063 2.443
## 2127 1.500 -1.315 -0.134 -0.060 0.655 -0.536 3.280
## 2128 2.000 -0.520 -0.032 -0.145 1.010 0.705 3.066
## 2129 2.000 -1.200 -0.046 -0.100 1.150 0.301 2.721
## 2130 2.000 -0.605 0.039 -0.055 1.035 0.729 2.612
## 2131 2.000 -0.710 -0.076 -0.105 0.920 0.326 2.533
## 2132 2.000 -0.700 -0.053 -0.130 1.180 0.855 3.815
## 2133 2.000 -0.730 -0.129 -0.150 0.800 0.497 2.660
## 2134 Inf -0.935 -0.063 -0.172 1.395 0.873 3.465
## 2135 2.000 -0.995 0.010 -0.025 1.235 0.383 3.024
## 2136 2.000 -0.770 -0.018 0.000 0.690 0.128 2.456
## 2137 2.000 -1.080 -0.075 -0.035 0.790 -0.355 2.561
## 2138 2.000 -0.670 -0.084 -0.080 0.760 0.185 2.236
## 2139 1.500 -0.800 -0.112 -0.150 0.920 0.513 2.457
## 2140 2.000 -0.870 -0.149 -0.085 0.580 -0.153 2.374
## 2141 2.000 -0.550 -0.036 -0.080 0.470 0.085 1.975
## 2142 2.000 -1.605 -0.191 -0.095 1.085 -0.355 2.962
## 2143 2.000 -0.905 -0.052 -0.075 0.765 0.274 3.302
## 2144 2.000 -0.985 -0.067 0.000 0.870 -0.502 3.349
## 2145 2.000 -1.025 -0.019 0.000 1.015 -0.114 2.804
## 2146 2.000 -0.610 -0.029 -0.050 1.130 0.689 3.807
## 2147 3.000 -0.870 -0.111 -0.070 1.230 0.604 3.319
## 2148 1.500 -0.940 -0.086 -0.025 1.190 0.652 3.230
## 2149 2.000 -1.030 -0.034 -0.015 1.370 0.481 2.893
## 2150 2.000 -1.370 0.027 0.035 1.070 -0.169 2.747
## 2151 2.000 -1.060 -0.066 0.000 1.090 0.019 2.859
## 2152 2.000 -1.100 -0.053 -0.005 0.670 -0.339 2.506
## 2153 2.000 -0.870 -0.011 -0.015 0.790 -0.222 3.980
## 2154 2.000 -1.120 -0.047 -0.015 0.790 -0.288 2.694
## 2155 2.000 -1.220 -0.147 -0.090 0.770 -0.320 3.220
## 2156 Inf -1.550 -0.150 -0.130 0.730 -0.465 2.998
## 2157 2.000 -1.080 -0.111 -0.045 0.680 -0.240 2.716
## 2158 2.000 -1.080 -0.029 -0.025 0.620 -0.607 3.994
## 2159 1.500 -1.550 0.034 -0.075 1.700 0.101 2.411
## 2160 2.000 -1.540 -0.067 -0.155 1.710 0.140 2.399
## 2161 2.000 -0.950 -0.097 -0.055 0.730 0.087 2.352
## 2162 2.000 -0.830 -0.053 -0.090 1.070 0.544 3.496
## 2163 2.000 -1.280 -0.111 -0.095 0.660 -0.568 2.677
## 2164 2.000 -0.950 0.011 0.035 1.370 0.383 2.899
## 2165 2.000 -1.120 -0.036 -0.020 0.870 -0.172 3.621
## 2166 1.500 -1.340 -0.196 -0.218 0.700 -0.419 2.640
## 2167 2.000 -1.320 -0.072 -0.065 0.700 -0.559 3.376
## 2168 2.000 -0.930 -0.054 0.005 0.630 -0.249 2.482
## 2169 2.000 -1.190 -0.100 -0.055 0.740 -0.270 3.130
## 2170 1.500 -1.030 -0.123 -0.170 0.820 0.227 2.708
## 2171 1.500 -0.505 -0.063 -0.090 0.505 0.304 2.693
## 2172 2.000 -0.980 -0.030 -0.015 0.930 0.014 2.438
## 2173 2.000 -0.620 -0.048 -0.090 1.160 1.051 5.991
## 2174 2.000 -1.210 -0.100 -0.055 0.570 -0.571 3.706
## 2175 2.000 -0.645 -0.074 -0.130 0.805 0.610 2.569
## 2176 2.000 -0.995 -0.108 -0.090 1.095 0.228 3.254
## 2177 1.500 -1.050 -0.016 -0.065 1.290 0.528 4.046
## 2178 1.500 -0.855 -0.068 -0.075 0.655 -0.241 2.357
## 2179 1.500 -0.970 -0.070 -0.050 0.930 0.033 2.802
## 2180 2.000 -1.390 -0.141 -0.023 0.480 -0.843 3.952
## 2181 1.667 -1.020 -0.057 0.000 1.140 0.344 3.833
## 2182 2.000 -1.040 -0.215 -0.240 0.460 -0.112 2.179
## 2183 2.000 -1.700 -0.225 -0.215 1.210 -0.234 4.151
## 2184 1.500 -1.390 -0.080 -0.045 0.820 -0.751 3.610
## 2185 2.000 -2.820 -0.114 -0.125 1.520 -0.977 7.019
## 2186 2.000 -2.150 -0.034 0.015 1.755 -0.514 4.022
## 2187 2.000 -1.832 0.021 0.078 2.348 0.217 4.108
## 2188 2.000 -0.843 -0.047 -0.005 1.228 0.832 4.985
## 2189 2.000 -0.850 -0.001 0.000 1.210 0.321 2.827
## 2190 2.000 -1.495 -0.015 0.020 1.255 -0.214 2.778
## 2191 2.000 -1.410 -0.197 -0.065 1.020 -0.262 2.832
## 2192 2.000 -0.935 -0.054 -0.030 0.860 0.397 3.338
## 2193 2.000 -1.365 -0.027 -0.055 1.955 0.778 5.164
## 2194 2.000 -1.820 0.023 0.050 1.790 -0.121 3.415
## 2195 2.000 -1.740 -0.053 -0.010 1.950 0.297 4.881
## 2196 2.000 -0.970 0.033 0.030 2.270 1.324 7.318
## 2197 2.000 -1.050 -0.120 0.015 0.630 -0.629 2.430
## 2198 2.000 -1.180 -0.116 -0.045 0.890 0.027 2.507
## 2199 2.000 -1.860 -0.095 -0.015 1.130 -0.537 3.101
## 2200 2.000 -0.925 -0.013 -0.050 1.345 0.262 2.884
## 2201 1.500 -1.210 -0.018 0.020 1.230 -0.225 2.840
## 2202 2.000 -0.650 -0.046 -0.048 0.760 0.194 2.089
## 2203 2.000 -1.070 0.072 0.015 1.460 0.249 2.589
## 2204 2.000 -1.020 -0.019 0.005 0.850 0.034 2.570
## 2205 2.000 -0.995 0.009 0.002 0.975 -0.002 3.008
## 2206 2.000 -1.042 -0.001 -0.006 0.897 -0.090 2.613
## 2207 2.000 -1.330 -0.114 -0.010 1.070 -0.347 3.695
## 2208 1.500 -1.050 0.022 0.070 1.090 0.164 3.000
## 2209 2.000 -1.220 -0.077 -0.005 0.930 -0.396 3.311
## 2210 2.000 -0.710 -0.106 -0.155 0.640 0.244 2.075
## 2211 2.000 -1.890 -0.103 -0.040 0.750 -0.896 3.629
## 2212 2.000 -1.555 0.000 0.025 1.055 -0.277 3.810
## 2213 2.000 -1.300 0.112 0.020 1.410 0.233 3.005
## 2214 2.000 -0.675 -0.084 -0.095 0.745 0.173 1.970
## 2215 2.000 -0.870 -0.028 0.000 0.740 -0.194 3.106
## 2216 1.500 -0.830 -0.058 -0.010 0.930 0.063 3.481
## 2217 2.000 -0.950 -0.034 -0.055 1.050 0.180 2.791
## 2218 2.000 -1.000 -0.030 0.000 0.820 -0.085 2.231
## 2219 2.000 -0.880 -0.050 -0.045 0.710 -0.077 2.283
## 2220 2.000 -1.165 -0.087 -0.065 0.685 -0.491 3.052
## 2221 2.000 -1.485 -0.036 0.020 0.855 -0.679 2.868
## 2222 2.000 -1.315 -0.049 0.015 0.955 -0.597 2.754
## 2223 2.000 -1.520 -0.132 0.000 1.180 -0.169 2.482
## 2224 2.000 -1.250 -0.024 -0.005 1.020 -0.273 3.178
## 2225 2.000 -1.085 -0.112 -0.080 0.755 -0.194 3.153
## 2226 2.500 -1.420 0.016 0.000 1.160 -0.177 3.697
## 2227 2.000 -1.510 -0.017 0.000 1.110 -0.669 5.700
## 2228 2.000 -1.290 0.083 0.155 1.560 -0.071 2.062
## 2229 2.000 -0.505 0.070 0.025 1.085 1.059 3.903
## 2230 2.000 -0.915 0.071 -0.022 1.115 0.137 2.367
## 2231 2.000 -0.725 0.094 -0.015 1.150 0.571 3.396
## 2232 2.000 -1.210 0.023 0.000 1.430 0.128 2.907
## 2233 2.000 -1.050 -0.009 0.020 0.870 -0.185 2.092
## 2234 2.000 -1.110 -0.019 0.020 1.110 -0.177 2.809
## 2235 2.000 -0.770 0.128 0.085 1.410 0.464 2.589
## 2236 1.500 -0.925 -0.003 0.000 0.705 -0.199 2.765
## 2237 2.000 -0.860 -0.023 -0.010 1.020 0.119 2.326
## 2238 2.000 -1.205 0.014 0.015 0.945 -0.359 2.274
## 2239 1.500 -0.970 -0.032 -0.053 0.660 -0.382 2.700
## 2240 1.500 -1.150 0.048 0.025 1.260 0.153 2.355
## 2241 2.000 -1.145 -0.090 -0.040 1.720 0.454 3.928
## 2242 2.000 -2.615 0.211 -0.085 2.985 0.533 2.950
## 2243 Inf -2.395 -0.143 -0.015 1.205 -0.856 3.898
## 2244 2.000 -3.840 -0.271 -0.125 1.920 -1.108 5.910
## 2245 2.000 -1.250 -0.032 0.035 1.500 0.207 2.391
## 2246 2.000 -1.005 -0.055 -0.020 1.325 0.454 2.979
## 2247 Inf -1.460 -0.089 -0.070 1.400 -0.031 2.425
## 2248 2.000 -1.440 0.032 0.000 1.180 -0.205 3.276
## 2249 2.000 -1.050 0.000 0.025 0.970 -0.021 2.284
## 2250 2.000 -0.905 0.046 -0.015 1.300 0.280 2.239
## 2251 Inf -0.950 0.105 -0.005 1.340 0.236 2.121
## 2252 2.000 -1.815 -0.138 -0.025 1.035 -0.435 2.640
## 2253 2.000 -1.130 -0.052 -0.005 1.045 -0.248 2.418
## 2254 1.500 -1.605 -0.049 -0.010 0.925 -0.495 3.220
## 2255 2.000 -0.680 -0.045 -0.050 1.070 0.534 3.243
## 2256 Inf -1.300 -0.094 -0.070 1.340 0.063 1.959
## 2257 2.000 -1.795 0.091 -0.035 2.165 0.623 3.795
## 2258 1.500 -0.900 -0.062 -0.070 0.980 0.245 2.658
## 2259 2.000 -1.170 -0.088 -0.135 1.090 0.335 2.925
## 2260 2.000 -0.835 -0.050 -0.065 1.675 1.139 5.676
## 2261 1.500 -0.860 -0.041 -0.010 0.650 -0.119 2.231
## 2262 2.000 -0.900 -0.071 -0.005 0.570 -0.392 2.905
## 2263 2.000 -0.790 0.014 0.020 0.810 -0.141 2.608
## 2264 2.000 -0.760 -0.017 0.020 0.890 -0.108 2.747
## 2265 2.000 -1.595 -0.161 -0.085 0.865 -0.868 4.778
## 2266 2.000 -2.215 -0.087 -0.030 0.775 -2.408 12.812
## 2267 2.000 -0.935 -0.051 -0.030 0.565 -0.885 4.561
## 2268 1.500 -0.960 -0.011 -0.050 0.770 -0.145 2.878
## 2269 1.500 -1.245 -0.104 -0.020 1.005 -0.240 3.038
## 2270 Inf -1.510 -0.093 0.000 0.920 -0.636 2.937
## 2271 2.000 -0.640 -0.039 -0.018 0.590 0.166 2.647
## 2272 2.000 -1.532 -0.023 0.042 1.018 -0.543 4.181
## 2273 1.500 -1.100 0.041 0.025 1.050 -0.231 3.686
## 2274 2.000 -1.410 -0.050 0.005 1.050 -0.354 4.153
## 2275 2.000 -0.897 0.025 0.017 0.812 -0.140 2.338
## 2276 2.000 -1.525 -0.057 0.010 0.855 -0.896 4.639
## 2277 2.000 -1.065 0.021 0.065 0.885 -0.541 3.357
## 2278 2.000 -1.150 -0.054 0.065 0.740 -0.904 3.284
## 2279 2.000 -0.910 -0.090 -0.053 0.680 -0.037 2.222
## 2280 2.000 -1.405 -0.073 0.010 0.850 -0.647 3.032
## 2281 2.000 -1.070 -0.078 0.000 0.860 -0.494 2.822
## 2282 2.000 -1.190 0.038 0.110 0.915 -0.431 2.633
## 2283 1.500 -1.305 -0.039 0.025 0.690 -0.746 3.403
## 2284 2.000 -2.010 -0.079 0.015 1.070 -0.587 2.726
## 2285 2.000 -1.375 -0.074 -0.040 0.765 -0.401 3.473
## 2286 2.000 -0.640 0.052 -0.035 0.820 0.241 2.114
## 2287 2.000 -1.325 -0.178 -0.135 1.065 0.079 2.353
## 2288 1.500 -0.645 -0.002 -0.002 0.645 0.109 2.164
## 2289 2.000 -0.910 0.014 0.000 1.040 0.144 2.465
## 2290 2.000 -1.355 -0.063 -0.025 0.940 -0.382 3.312
## 2291 1.500 -1.160 -0.048 -0.030 1.070 0.081 2.487
## 2292 2.000 -1.150 -0.100 -0.025 0.800 -0.432 2.900
## 2293 2.000 -2.830 -0.154 -0.090 1.070 -1.105 6.036
## 2294 Inf -1.935 -0.059 0.035 1.210 -0.681 4.210
## 2295 2.000 -0.873 -0.106 -0.108 1.138 0.344 2.266
## 2296 2.000 -0.990 -0.151 -0.275 1.410 0.556 3.326
## 2297 1.500 -1.045 -0.077 -0.010 0.920 -0.088 3.405
## 2298 1.500 -1.110 0.002 -0.080 1.340 0.156 2.791
## 2299 2.000 -0.985 -0.060 -0.010 1.165 0.241 3.288
## 2300 2.000 -0.830 0.010 0.000 0.740 -0.243 3.471
## 2301 2.000 -0.900 -0.047 -0.015 0.810 0.134 3.231
## 2302 2.000 -1.075 -0.112 -0.015 0.970 -0.186 3.444
## 2303 2.000 -1.145 -0.115 -0.075 0.965 -0.089 2.441
## 2304 2.000 -1.175 -0.126 -0.160 0.965 0.060 2.755
## 2305 2.000 -1.485 -0.158 -0.140 1.215 -0.106 4.032
## 2306 2.000 -1.080 -0.067 -0.045 1.150 0.114 2.988
## 2307 1.500 -1.030 -0.105 -0.090 0.600 -0.424 2.765
## 2308 2.000 -1.480 -0.048 -0.020 0.880 -0.854 5.389
## 2309 2.000 -1.130 -0.021 -0.045 0.570 -0.655 3.104
## 2310 2.000 -1.285 -0.063 -0.025 0.895 -0.249 3.157
## 2311 2.000 -1.120 -0.144 -0.035 0.460 -0.770 2.984
## 2312 2.000 -0.530 0.033 -0.010 1.300 1.555 6.654
## 2313 1.500 -0.900 -0.030 -0.010 0.640 -0.438 3.012
## 2314 2.000 -1.300 -0.049 0.000 1.140 -0.244 2.325
## 2315 2.000 -1.600 -0.073 0.075 0.840 -0.783 3.134
## 2316 2.000 -1.835 -0.073 -0.002 1.195 -0.601 2.989
## 2317 2.000 -4.300 -0.322 -0.078 1.660 -1.473 5.063
## 2318 2.000 -4.320 -0.296 -0.060 1.845 -1.278 5.331
## 2319 2.000 -4.600 -0.190 -0.015 2.030 -1.453 5.839
## 2320 2.000 -3.715 -0.722 -0.235 1.445 -0.759 2.515
## 2321 2.000 -1.160 -0.089 -0.155 0.950 -0.026 2.190
## 2322 2.000 -1.885 -0.090 -0.030 1.310 -0.157 3.584
## 2323 2.000 -1.865 -0.177 -0.110 0.880 -0.463 3.110
## 2324 2.000 -1.055 -0.098 -0.025 0.695 -0.197 2.395
## 2325 2.000 -1.070 0.005 -0.050 0.920 -0.257 2.537
## 2326 2.000 -0.805 -0.120 -0.090 0.825 0.136 2.503
## 2327 1.500 -1.425 -0.071 -0.035 0.995 -0.285 3.713
## 2328 Inf -1.525 -0.006 0.000 1.395 -0.152 3.716
## 2329 2.000 -0.725 -0.076 -0.013 0.555 -0.350 2.657
## 2330 1.500 -1.935 -0.024 0.160 0.935 -1.000 3.921
## 2331 2.000 -0.880 -0.056 -0.045 0.750 0.076 2.890
## 2332 2.000 -1.250 -0.078 -0.028 2.120 0.605 3.254
## 2333 2.000 -1.390 -0.286 -0.240 0.380 -0.558 2.829
## 2334 2.000 -1.365 -0.247 -0.255 0.565 -0.331 2.730
## 2335 2.000 -0.780 -0.037 -0.050 0.650 0.229 3.004
## 2336 2.000 -1.435 -0.101 -0.200 1.435 0.122 2.143
## 2337 Inf -1.410 -0.030 -0.255 1.800 0.507 2.183
## 2338 2.000 -0.865 -0.084 -0.055 1.020 0.353 3.236
## 2339 1.500 -0.765 -0.090 -0.155 1.005 0.391 2.567
## 2340 1.500 -1.210 -0.131 -0.030 0.700 -0.450 2.899
## 2341 2.000 -1.040 -0.058 -0.078 0.780 -0.033 2.742
## 2342 1.500 -1.150 -0.056 -0.035 1.340 0.143 3.650
## 2343 1.500 -3.800 -0.332 -0.140 1.860 -0.726 4.691
## 2344 1.500 -2.605 -0.109 -0.002 0.555 -2.313 9.847
## 2345 2.000 -1.090 -0.021 -0.095 1.120 0.038 1.996
## 2346 2.000 -1.420 -0.130 -0.100 0.900 -0.322 2.776
## 2347 2.000 -1.040 -0.088 -0.045 0.640 -0.271 2.316
## 2348 1.500 -0.835 0.017 0.000 1.010 0.132 2.235
## 2349 1.500 -1.010 -0.005 0.005 0.680 -0.452 3.516
## 2350 1.500 -1.165 -0.057 0.000 0.595 -1.074 4.531
## 2351 2.000 -0.700 0.011 -0.020 0.730 0.441 2.774
## 2352 2.000 -0.695 -0.029 -0.085 0.955 0.500 2.937
## 2353 2.000 -0.870 -0.070 -0.135 0.590 -0.115 3.226
## 2354 2.000 -0.610 0.043 0.025 0.600 -0.298 2.905
## 2355 2.000 -1.150 0.014 -0.045 1.030 -0.080 2.763
## 2356 2.000 -1.790 -0.142 -0.195 1.630 0.024 2.491
## 2357 2.000 -1.630 -0.143 -0.135 1.510 0.101 2.552
## 2358 2.000 -1.540 -0.136 -0.100 1.620 0.259 2.486
## 2359 2.000 -1.200 -0.070 -0.028 0.780 -0.621 4.027
## 2360 2.000 -1.715 0.022 0.005 1.425 -0.143 3.987
## 2361 2.000 -1.310 0.004 0.000 1.160 -0.030 3.459
## 2362 1.500 -0.780 -0.011 -0.020 1.350 0.685 3.275
## 2363 2.000 -1.150 0.074 0.020 1.020 -0.173 4.257
## 2364 2.000 -1.295 0.052 0.025 0.955 -0.565 5.027
## 2365 2.000 -1.475 -0.050 0.000 0.915 -0.740 4.107
## 2366 2.000 -0.775 -0.034 -0.050 1.210 0.755 3.606
## 2367 3.000 -1.880 -0.216 -0.150 1.450 -0.001 2.665
## 2368 2.000 -1.960 -0.272 -0.252 1.690 0.188 2.499
## 2369 2.000 -1.305 -0.047 -0.050 0.545 -0.679 3.742
## 2370 1.500 -1.210 -0.104 -0.120 0.880 -0.162 3.105
## 2371 2.000 -0.980 0.061 0.015 1.650 0.959 6.036
## 2372 1.500 -1.090 -0.012 0.050 1.040 -0.297 2.302
## 2373 1.500 -0.850 -0.047 -0.035 0.750 0.206 3.294
## 2374 2.000 -0.760 -0.026 -0.005 0.640 -0.114 2.612
## 2375 2.000 -1.415 -0.018 -0.002 0.685 -0.788 3.760
## 2376 2.000 -1.240 -0.068 0.025 1.330 -0.222 2.887
## 2377 2.000 -1.110 -0.023 -0.013 0.775 -0.109 2.706
## 2378 2.000 -1.245 0.046 -0.120 1.555 0.619 2.904
## 2379 2.000 -1.370 -0.092 -0.080 1.290 0.215 3.615
## 2380 2.000 -1.265 0.021 0.115 0.955 -0.596 2.924
## 2381 Inf -2.045 0.015 0.065 1.535 -0.355 2.401
## 2382 1.500 -0.780 -0.019 -0.040 1.000 0.427 4.329
## 2383 2.000 -0.780 -0.039 -0.015 0.810 -0.045 2.957
## 2384 2.000 -0.950 -0.005 0.005 0.670 -0.206 2.323
## 2385 2.000 -0.965 -0.020 0.000 1.045 -0.001 2.846
## 2386 2.000 -1.525 0.006 0.010 1.455 -0.043 3.866
## 2387 2.000 -1.295 0.114 0.060 1.405 0.020 2.387
## 2388 2.000 -1.100 0.010 -0.015 0.810 -0.259 3.199
## 2389 1.500 -0.810 -0.086 -0.130 0.930 0.451 3.159
## 2390 2.000 -1.200 -0.096 -0.145 1.190 0.140 2.539
## 2391 2.000 -0.870 -0.026 -0.070 1.280 0.568 3.424
## 2392 1.500 -0.800 -0.049 -0.018 0.770 -0.091 2.193
## 2393 2.000 -1.535 0.016 -0.010 1.255 -0.035 3.626
## 2394 2.000 -0.955 -0.018 -0.015 0.965 -0.010 2.599
## 2395 2.000 -1.258 -0.010 -0.030 0.703 -0.804 3.569
## 2396 2.000 -0.660 0.054 0.030 1.020 0.362 2.910
## 2397 1.500 -0.830 -0.036 -0.060 1.210 0.359 3.701
## 2398 1.500 -0.600 -0.004 -0.015 1.170 0.991 4.678
## 2399 1.500 -0.700 -0.075 -0.115 1.250 0.790 4.573
## 2400 2.000 -0.670 0.053 0.000 1.210 0.611 3.776
## 2401 2.000 -1.220 -0.121 -0.075 0.830 -0.170 2.443
## 2402 2.000 -1.010 -0.021 -0.005 1.080 -0.323 3.082
## 2403 2.000 -1.710 -0.081 -0.005 0.740 -1.040 4.363
## 2404 Inf -1.120 -0.031 0.010 1.140 -0.105 2.390
## 2405 2.000 -0.735 -0.037 -0.065 0.840 0.222 2.221
## 2406 2.000 -1.670 -0.022 -0.055 1.035 -0.524 3.848
## 2407 2.000 -1.205 0.086 0.000 1.210 0.386 3.315
## 2408 2.000 -1.160 -0.100 -0.115 1.120 0.084 3.582
## 2409 3.000 -0.935 -0.109 -0.110 0.730 0.089 2.201
## 2410 1.500 -0.745 0.015 0.065 0.850 0.208 2.568
## 2411 2.000 -0.850 -0.054 -0.010 0.460 -0.564 2.561
## 2412 2.000 -0.770 -0.013 0.000 1.200 0.256 2.947
## 2413 Inf -0.835 -0.013 -0.075 1.415 0.503 2.871
## 2414 2.000 -0.905 -0.023 -0.008 0.865 0.177 3.263
## 2415 2.000 -0.760 -0.066 -0.050 0.845 0.253 2.803
## 2416 2.000 -1.480 -0.091 -0.070 1.130 -0.108 4.120
## 2417 Inf -0.975 -0.023 -0.075 0.975 0.109 2.519
## 2418 2.000 -0.925 -0.076 -0.080 0.685 0.105 2.672
## 2419 2.000 -0.365 0.053 0.000 0.565 0.341 2.566
## 2420 2.000 -0.505 0.052 -0.005 0.860 0.461 2.464
## 2421 2.000 -0.930 0.047 -0.030 1.305 0.251 2.822
## 2422 2.000 -1.317 -0.049 0.000 1.102 -0.160 2.420
## 2423 1.500 -1.285 -0.020 0.000 1.250 -0.064 2.788
## 2424 2.500 -2.090 -0.060 -0.035 1.040 -1.038 5.182
## 2425 2.000 -1.060 0.027 0.025 1.290 0.119 3.312
## 2426 Inf -2.250 0.007 0.190 1.750 -0.645 2.846
## 2427 2.000 -0.890 0.025 0.000 1.160 0.201 3.781
## 2428 2.000 -1.305 0.138 0.000 1.305 0.398 3.283
## 2429 2.000 -0.815 0.105 0.150 1.405 0.428 2.689
## 2430 3.000 -0.830 0.032 0.005 1.720 0.770 4.694
## 2431 1.500 -1.005 0.055 -0.020 1.530 0.894 4.133
## 2432 1.500 -1.375 -0.106 -0.040 0.955 -0.237 3.198
## 2433 Inf -1.550 -0.121 0.000 1.770 0.185 3.931
## 2434 2.000 -0.860 -0.024 -0.050 1.360 0.397 3.524
## 2435 2.000 -0.830 -0.089 -0.082 1.430 0.987 4.389
## 2436 1.500 -0.660 -0.008 -0.010 0.730 0.237 2.667
## 2437 1.500 -0.820 0.055 0.000 1.270 0.746 3.510
## 2438 Inf -1.165 0.000 -0.002 1.105 -0.132 2.877
## 2439 2.000 -1.125 -0.037 -0.020 0.930 0.020 2.527
## 2440 1.500 -0.820 -0.097 -0.010 0.730 -0.167 2.867
## 2441 2.000 -1.275 -0.084 -0.055 0.915 -0.207 2.811
## 2442 2.000 -1.035 -0.106 -0.130 0.695 -0.321 2.712
## 2443 2.000 -1.110 0.000 -0.020 1.070 -0.097 2.908
## 2444 2.000 -1.350 0.023 -0.015 1.010 -0.171 2.947
## 2445 2.000 -1.440 -0.121 -0.073 1.220 -0.068 3.100
## 2446 2.000 -1.720 -0.019 -0.015 1.410 -0.136 3.352
## 2447 1.500 -0.935 -0.032 -0.020 1.210 0.421 2.471
## 2448 2.000 -1.000 -0.003 -0.025 1.470 0.286 2.756
## 2449 2.000 -1.010 0.012 -0.025 1.450 0.377 3.076
## 2450 2.000 -0.920 -0.084 -0.060 0.810 0.099 2.496
## 2451 2.000 -1.185 -0.079 -0.075 1.225 -0.024 3.267
## 2452 Inf -1.290 -0.059 -0.080 0.980 -0.277 3.408
## 2453 2.000 -1.085 -0.114 -0.035 0.735 -0.272 3.696
## 2454 2.000 -0.980 -0.066 -0.035 0.790 -0.092 2.852
## 2455 2.000 -0.900 -0.037 -0.035 1.235 0.556 3.548
## 2456 2.000 -0.865 0.013 -0.080 1.130 0.463 3.034
## 2457 2.000 -0.760 -0.018 0.000 0.820 0.313 2.324
## 2458 1.500 -0.545 -0.043 -0.045 0.650 0.374 2.958
## 2459 2.000 -0.670 -0.029 -0.110 1.170 0.845 3.166
## 2460 1.500 -0.955 -0.074 -0.005 1.165 0.192 3.118
## 2461 2.000 -0.665 -0.001 -0.007 0.975 0.653 2.822
## 2462 2.000 -0.935 -0.052 -0.060 1.695 0.682 4.812
## 2463 2.000 -1.380 -0.054 0.000 1.420 -0.056 2.991
## 2464 2.000 -0.935 0.062 0.040 1.135 0.109 2.197
## 2465 1.500 -0.830 0.017 -0.050 1.280 0.419 3.144
## 2466 2.000 -1.000 -0.125 -0.060 0.460 -0.380 2.204
## 2467 2.000 -1.595 -0.255 -0.145 0.835 -0.242 2.534
## 2468 2.000 -2.400 -0.051 -0.075 2.310 -0.195 3.463
## 2469 2.000 -1.160 0.003 0.000 1.550 0.335 3.276
## 2470 1.500 -1.320 -0.120 0.000 0.730 -0.689 3.755
## 2471 2.000 -1.120 -0.076 -0.125 1.350 0.261 2.103
## 2472 1.500 -0.875 -0.103 -0.065 0.645 -0.165 2.828
## 2473 1.500 -0.780 -0.041 -0.018 0.620 0.106 3.476
## 2474 2.000 -0.960 0.043 0.020 1.460 0.474 3.987
## 2475 2.000 -0.790 -0.058 -0.015 1.330 0.674 4.894
## 2476 1.500 -1.330 -0.025 0.003 1.020 -0.273 2.822
## 2477 2.000 -1.160 -0.056 -0.095 1.150 0.021 3.060
## 2478 2.000 -0.710 0.068 -0.005 0.830 0.111 2.969
## 2479 2.000 -1.115 0.003 0.000 1.360 0.131 4.479
## 2480 2.000 -1.480 -0.042 0.005 1.350 -0.125 4.626
## 2481 2.000 -1.155 -0.008 0.000 1.050 0.085 2.423
## 2482 2.000 -1.010 0.088 0.030 0.930 -0.041 3.082
## 2483 2.000 -0.840 0.067 0.000 1.110 0.262 2.182
## 2484 2.000 -1.000 0.045 0.040 0.980 0.197 2.709
## 2485 1.500 -0.570 -0.023 -0.010 0.640 0.251 2.438
## 2486 2.000 -0.775 0.016 -0.013 0.995 0.426 3.663
## 2487 2.000 -0.870 0.014 0.070 1.190 0.003 2.327
## 2488 2.000 -0.760 0.005 -0.020 0.880 0.008 1.965
## 2489 1.500 -0.890 -0.015 -0.040 0.970 0.183 2.289
## 2490 2.000 -0.910 0.015 -0.025 0.790 -0.122 2.324
## 2491 1.500 -0.560 0.036 -0.030 0.830 0.726 2.875
## 2492 1.500 -1.300 -0.097 -0.015 0.965 -0.208 3.995
## 2493 1.500 -0.900 -0.042 0.000 0.860 0.080 3.498
## 2494 2.000 -1.035 -0.108 -0.040 0.740 -0.114 3.099
## 2495 2.000 -0.825 -0.045 -0.045 0.945 0.373 2.625
## 2496 2.000 -1.265 -0.133 -0.060 0.815 -0.158 1.921
## 2497 1.500 -0.720 -0.086 -0.125 0.800 0.542 3.293
## 2498 1.500 -0.640 -0.072 -0.010 0.850 0.367 3.175
## 2499 2.000 -0.575 -0.037 -0.055 0.885 0.670 3.593
## 2500 1.500 -0.640 -0.037 -0.025 0.980 0.605 3.577
## 2501 1.500 -0.720 -0.033 -0.060 0.920 0.761 3.320
## 2502 2.000 -1.507 -0.190 -0.052 0.803 -0.539 2.854
## 2503 2.000 -1.065 -0.112 -0.150 0.765 0.143 2.446
## 2504 2.000 -0.510 -0.051 -0.035 0.650 0.558 3.658
## 2505 2.000 -0.575 -0.044 -0.028 0.805 0.378 3.097
## 2506 2.000 -0.650 -0.034 -0.060 0.590 0.239 2.387
## 2507 1.500 -0.790 -0.016 -0.010 0.835 0.098 2.806
## 2508 2.000 -1.070 -0.162 -0.265 1.270 0.821 4.388
## 2509 1.500 -1.010 -0.126 -0.100 1.450 0.791 4.709
## 2510 3.000 -1.270 -0.063 -0.013 0.950 -0.286 2.974
## 2511 2.000 -1.080 -0.100 -0.135 1.220 0.307 2.668
## 2512 2.000 -1.430 -0.172 -0.120 0.840 -0.198 2.329
## 2513 1.500 -0.870 -0.064 -0.005 0.410 -0.847 3.358
## 2514 2.000 -1.280 -0.103 -0.025 1.150 -0.294 4.862
## 2515 2.000 -1.300 -0.088 -0.020 0.950 -0.256 2.979
## 2516 2.000 -1.480 -0.158 -0.005 1.570 -0.003 3.343
## 2517 2.000 -0.970 -0.151 -0.192 0.670 -0.020 2.771
## 2518 1.500 -0.830 -0.034 -0.050 1.000 0.147 2.378
## 2519 2.000 -1.110 -0.115 -0.055 0.810 -0.308 2.551
## 2520 1.500 -1.215 -0.122 -0.030 0.645 -0.372 2.462
## 2521 3.000 -1.035 -0.090 -0.080 0.615 -0.319 3.242
## 2522 2.000 -0.960 -0.059 -0.140 1.310 0.576 3.367
## 2523 2.000 -0.950 -0.113 -0.085 1.040 0.289 2.911
## 2524 2.000 -1.730 -0.102 -0.045 0.830 -0.935 4.119
## 2525 2.000 -1.322 -0.054 -0.078 0.857 -0.294 3.333
## 2526 2.000 -0.650 -0.051 -0.050 0.915 0.730 3.315
## 2527 2.000 -0.980 -0.047 0.010 0.760 -0.389 2.196
## 2528 2.000 -1.380 -0.041 0.000 1.190 -0.354 2.547
## 2529 2.000 -1.225 -0.065 0.000 1.315 0.093 2.912
## 2530 2.000 -1.360 -0.045 -0.005 1.815 0.161 2.872
## 2531 2.000 -1.230 -0.046 -0.015 1.190 -0.098 3.248
## 2532 2.000 -1.730 -0.204 -0.230 1.080 -0.147 2.241
## 2533 2.000 -0.923 -0.025 -0.083 0.997 0.365 2.539
## 2534 1.500 -1.365 -0.129 -0.085 0.545 -1.038 4.114
## 2535 1.500 -1.455 -0.095 -0.040 0.705 -0.658 3.585
## 2536 2.000 -0.920 -0.062 -0.025 0.650 -0.104 2.150
## 2537 2.000 -1.015 -0.062 -0.030 0.885 -0.075 2.939
## 2538 1.500 -0.480 -0.024 -0.085 0.750 0.459 2.437
## 2539 Inf -0.610 -0.038 -0.033 0.640 0.145 1.825
## 2540 2.000 -0.470 -0.012 -0.060 0.750 0.548 2.857
## 2541 2.000 -1.230 -0.078 -0.085 0.850 -0.453 4.114
## 2542 2.000 -0.730 0.007 -0.020 1.120 0.583 3.229
## 2543 2.000 -1.500 -0.050 -0.072 1.270 -0.170 2.615
## 2544 1.500 -1.050 0.007 0.000 1.260 0.362 2.770
## 2545 2.000 -1.265 0.026 -0.002 1.135 0.032 3.953
## 2546 2.000 -1.030 -0.077 -0.035 0.775 -0.121 2.227
## 2547 2.000 -0.795 -0.023 -0.030 0.955 0.727 3.551
## 2548 2.000 -0.590 -0.035 0.000 0.970 0.593 2.937
## 2549 12.000 -2.285 -0.114 0.000 0.915 -1.116 5.036
## 2550 2.000 -1.200 -0.037 -0.115 1.160 0.341 2.510
## 2551 2.000 -0.470 -0.019 -0.030 0.560 0.320 2.258
## 2552 2.000 -1.180 -0.141 -0.160 0.860 -0.030 2.678
## 2553 2.000 -1.110 -0.086 -0.035 1.060 -0.111 3.351
## 2554 2.000 -1.565 -0.008 -0.040 1.845 0.028 2.291
## 2555 Inf -1.590 0.024 -0.020 1.380 -0.195 2.371
## 2556 Inf -1.200 -0.055 0.000 1.160 -0.149 2.295
## 2557 2.000 -0.730 -0.033 -0.045 0.755 0.024 2.025
## 2558 2.000 -3.315 -0.239 -0.100 0.765 -2.823 14.663
## 2559 2.000 -2.410 -0.221 -0.135 1.080 -0.891 5.398
## 2560 2.000 -0.785 -0.046 0.000 0.605 -0.347 2.894
## 2561 2.000 -0.835 -0.036 -0.035 1.245 0.430 2.710
## 2562 2.000 -0.915 0.053 0.065 1.095 -0.107 1.959
## 2563 2.500 -1.275 -0.067 -0.015 0.670 -0.710 3.886
## 2564 2.000 -1.455 -0.078 -0.075 1.390 0.158 3.166
## 2565 2.000 -0.795 -0.045 -0.040 0.515 -0.131 2.354
## 2566 2.000 -0.890 -0.003 -0.025 0.920 0.129 2.537
## 2567 1.500 -0.690 0.022 -0.010 1.125 0.591 3.228
## 2568 2.000 -0.880 0.055 0.000 1.210 0.527 4.334
## 2569 1.500 -0.935 0.025 0.050 0.825 -0.175 2.419
## 2570 2.000 -0.838 -0.027 0.000 0.853 0.216 2.562
## 2571 2.000 -0.840 0.015 -0.062 1.180 0.795 3.720
## 2572 2.000 -1.620 -0.088 -0.035 0.900 -0.430 3.177
## 2573 2.000 -0.930 -0.012 -0.010 1.270 0.497 2.908
## 2574 2.000 -2.000 -0.196 -0.165 1.140 -0.184 2.436
## 2575 2.333 -1.740 -0.072 0.000 1.720 -0.195 3.529
## 2576 2.000 -2.625 -0.208 0.000 1.665 -0.652 3.940
## 2577 2.000 -1.750 -0.132 -0.155 1.050 -0.262 3.155
## 2578 1.500 -1.510 -0.067 0.000 1.090 -0.113 2.475
## 2579 1.500 -1.035 -0.075 -0.035 1.255 0.206 4.354
## 2580 2.000 -1.685 -0.273 -0.140 0.965 -0.405 2.564
## 2581 2.000 -1.540 -0.282 -0.285 0.900 -0.128 2.246
## 2582 1.500 -1.645 -0.157 -0.103 0.765 -0.812 4.490
## 2583 1.500 -1.562 -0.106 -0.138 0.517 -1.045 5.884
## 2584 1.500 -1.070 -0.052 0.000 1.200 0.115 2.217
## 2585 1.500 -1.475 -0.032 -0.005 1.355 -0.146 3.266
## 2586 2.000 -1.300 -0.182 -0.055 0.970 -0.151 2.541
## 2587 3.000 -0.810 -0.048 -0.070 1.120 0.394 2.788
## 2588 2.000 -1.035 -0.059 -0.085 0.785 0.007 2.974
## 2589 1.500 -0.930 -0.105 -0.060 0.740 -0.082 2.398
## 2590 2.000 -1.040 -0.113 -0.095 0.770 0.156 2.545
## 2591 1.500 -1.110 -0.081 -0.100 1.040 0.035 3.105
## 2592 2.000 -0.935 -0.037 -0.080 1.045 0.105 2.754
## 2593 7.000 -2.775 0.056 0.000 3.365 0.473 5.502
## 2594 2.000 -0.850 -0.067 -0.110 0.680 -0.033 2.280
## 2595 2.000 -0.800 -0.060 -0.010 0.940 0.188 2.714
## 2596 2.000 -1.155 -0.083 0.000 0.775 -0.480 2.867
## 2597 2.000 -1.015 -0.047 -0.055 0.925 0.021 2.473
## 2598 2.000 -1.225 -0.098 0.010 0.565 -0.499 2.629
## 2599 2.000 -1.260 -0.101 0.000 0.640 -0.451 2.642
## 2600 Inf -1.350 -0.143 -0.055 0.810 -0.544 2.579
## 2601 2.000 -1.400 -0.141 -0.085 0.760 -0.456 2.309
## 2602 1.500 -0.970 -0.035 -0.010 0.740 -0.563 2.804
## 2603 2.000 -1.430 -0.039 0.050 0.920 -0.481 2.736
## 2604 2.000 -1.120 -0.010 0.030 0.790 -0.501 2.596
## 2605 1.500 -1.120 -0.083 0.000 0.750 -0.195 2.366
## 2606 1.500 -0.620 0.006 0.030 0.650 0.083 2.498
## 2607 2.000 -0.710 -0.042 -0.100 1.210 1.144 5.047
## 2608 2.000 -0.675 -0.002 0.000 0.685 -0.131 2.818
## 2609 1.500 -0.780 0.077 0.000 1.070 0.585 2.928
## 2610 2.000 -0.905 -0.016 -0.010 0.785 -0.259 3.023
## 2611 2.000 -1.140 -0.074 -0.035 0.640 -0.417 3.121
## 2612 2.000 -0.975 -0.006 -0.005 0.615 -0.319 2.743
## 2613 1.500 -0.945 -0.108 -0.090 0.635 -0.420 3.103
## 2614 2.000 -0.830 0.010 -0.010 1.140 0.297 3.295
## 2615 1.500 -0.850 -0.071 -0.070 0.650 0.194 2.478
## 2616 2.000 -0.900 -0.153 -0.125 0.650 -0.082 2.300
## 2617 2.000 -0.740 -0.008 0.000 0.630 -0.004 2.558
## 2618 2.000 -0.955 -0.059 -0.087 0.795 -0.026 2.154
## 2619 2.000 -0.920 -0.113 -0.055 0.660 -0.166 2.209
## 2620 4.000 -1.080 -0.045 -0.052 0.820 -0.216 3.054
## 2621 2.000 -1.160 0.013 0.000 1.210 0.007 4.248
## 2622 1.500 -1.760 -0.098 -0.040 0.810 -0.620 3.390
## 2623 2.000 -0.810 -0.012 -0.090 0.905 0.304 2.129
## 2624 2.000 -0.640 -0.021 0.018 0.360 -0.727 2.858
## 2625 2.000 -1.350 -0.021 -0.015 0.950 -0.239 3.464
## 2626 2.000 -1.100 -0.002 -0.012 0.810 -0.152 2.496
## 2627 2.000 -2.350 -0.220 -0.155 1.320 -0.201 2.484
## 2628 2.000 -1.510 -0.138 -0.085 0.920 -0.297 3.416
## 2629 2.000 -1.540 -0.141 -0.125 1.055 -0.274 3.348
## 2630 2.000 -1.550 -0.114 -0.020 1.300 -0.118 2.924
## 2631 2.000 -1.260 0.000 -0.080 1.040 0.200 2.763
## 2632 Inf -1.070 -0.114 -0.105 1.340 0.444 2.515
## 2633 1.500 -0.860 -0.028 0.000 1.860 0.919 4.107
## 2634 2.000 -1.165 -0.032 -0.075 1.085 0.221 2.298
## 2635 2.000 -2.130 -0.058 -0.035 1.390 -0.607 3.302
## 2636 2.000 -0.810 -0.017 -0.085 1.100 0.513 2.745
## 2637 2.000 -1.688 -0.019 -0.065 1.662 -0.034 2.485
## 2638 2.000 -1.408 0.007 -0.035 1.692 0.269 3.303
## 2639 2.000 -1.255 0.050 0.002 1.735 0.292 3.004
## 2640 2.000 -1.095 -0.025 0.015 1.105 -0.255 2.306
## 2641 2.000 -1.210 -0.040 0.000 1.100 -0.360 2.407
## 2642 2.000 -1.810 0.027 0.045 0.900 -1.017 4.526
## 2643 Inf -1.120 0.068 0.090 1.470 0.070 2.569
## 2644 2.000 -1.050 0.050 0.035 0.800 -0.242 2.599
## 2645 2.000 -0.935 -0.066 -0.085 0.815 -0.079 2.445
## 2646 3.000 -0.770 0.066 0.000 1.370 0.686 3.608
## 2647 2.000 -0.715 -0.028 -0.040 0.850 0.222 2.190
## 2648 2.000 -1.395 0.053 -0.108 1.755 0.519 2.743
## 2649 2.000 -1.000 -0.063 -0.175 1.170 0.435 2.599
## 2650 2.000 -1.070 -0.031 -0.025 0.770 -0.192 2.473
## 2651 2.000 -1.000 -0.039 -0.055 1.190 0.560 3.354
## 2652 2.000 -0.810 -0.010 -0.048 0.970 0.499 2.899
## 2653 2.000 -1.105 0.073 0.000 1.420 0.256 3.008
## 2654 2.000 -1.440 -0.050 0.000 0.790 -0.632 3.408
## 2655 2.000 -2.350 -0.132 -0.045 0.850 -1.223 6.093
## 2656 2.000 -1.520 -0.063 0.000 0.690 -0.875 4.061
## 2657 2.000 -1.365 0.059 0.078 1.645 0.035 3.491
## 2658 2.000 -1.245 0.115 0.070 1.035 -0.419 2.765
## 2659 2.000 -1.280 0.138 0.162 1.090 -0.186 2.354
## 2660 2.000 -1.280 0.168 0.165 1.580 -0.096 3.113
## 2661 2.000 -1.130 -0.155 -0.045 0.490 -0.878 3.412
## 2662 2.000 -0.720 -0.043 -0.075 0.730 0.406 2.318
## 2663 2.000 -1.498 -0.060 -0.005 1.292 -0.002 2.844
## 2664 2.000 -1.260 -0.033 -0.125 1.210 0.256 2.433
## 2665 2.000 -2.065 -0.296 -0.270 1.235 -0.197 2.542
## 2666 2.000 -1.120 -0.076 -0.090 1.045 0.123 3.242
## 2667 1.500 -0.860 -0.081 -0.040 0.760 -0.306 3.422
## 2668 1.500 -1.170 -0.096 -0.100 1.160 0.184 3.463
## 2669 2.000 -0.705 -0.021 -0.020 0.655 0.060 2.571
## 2670 1.500 -1.160 -0.101 -0.045 0.910 -0.029 3.101
## 2671 2.000 -1.210 -0.125 -0.160 0.690 -0.253 3.123
## 2672 1.500 -0.810 -0.014 -0.050 1.005 0.336 2.604
## 2673 2.000 -0.735 -0.024 -0.115 0.805 0.329 2.154
## 2674 1.500 -0.785 -0.073 -0.140 0.625 0.399 2.231
## 2675 2.000 -1.155 -0.105 -0.032 0.535 -0.374 2.813
## 2676 1.500 -0.655 -0.101 -0.075 0.645 0.280 3.176
## 2677 2.000 -0.520 -0.057 -0.025 0.550 -0.012 2.249
## 2678 2.000 -0.690 -0.072 -0.035 0.420 -0.433 2.168
## 2679 2.000 -0.855 0.047 -0.010 1.295 0.525 2.655
## 2680 3.000 -1.010 -0.037 -0.085 0.820 0.161 2.861
## 2681 1.500 -2.180 -0.206 -0.015 0.840 -1.195 5.498
## 2682 2.000 -1.290 -0.070 -0.075 0.930 -0.072 2.571
## 2683 2.000 -1.335 -0.092 -0.080 0.815 -0.469 3.229
## 2684 2.000 -0.805 -0.061 -0.110 1.095 0.418 3.252
## 2685 2.000 -0.770 -0.038 -0.025 0.920 0.403 3.188
## 2686 2.000 -0.535 -0.017 0.002 0.865 0.565 3.500
## 2687 2.000 -0.740 -0.021 0.015 0.680 -0.115 2.578
## 2688 2.000 -1.115 -0.081 -0.100 0.985 0.225 3.983
## 2689 Inf -0.840 -0.034 -0.060 0.620 -0.193 2.217
## 2690 2.000 -0.945 -0.023 -0.035 0.705 -0.144 2.195
## 2691 2.000 -0.860 -0.069 -0.005 1.020 0.101 2.638
## 2692 2.000 -1.680 -0.074 -0.045 1.120 -0.318 4.022
## 2693 2.000 -0.650 0.006 0.010 0.830 0.071 2.727
## 2694 2.000 -1.502 -0.026 -0.028 1.687 0.436 3.540
## 2695 2.000 -1.660 -0.091 -0.075 1.820 0.278 2.613
## 2696 2.000 -1.130 -0.046 0.035 0.790 -0.309 1.902
## 2697 3.000 -1.240 -0.019 -0.070 1.120 -0.062 2.200
## 2698 2.000 -0.505 0.035 -0.007 1.045 0.801 3.970
## 2699 2.000 -0.775 -0.051 -0.105 0.705 0.170 2.360
## 2700 2.000 -1.700 -0.136 -0.160 1.070 -0.300 5.126
## 2701 1.500 -1.680 -0.092 -0.075 0.600 -1.408 7.623
## 2702 1.500 -1.030 -0.023 -0.027 0.830 -0.451 5.308
## 2703 1.500 -1.120 -0.023 0.000 0.910 -0.399 2.737
## 2704 2.000 -1.335 -0.075 -0.035 0.785 -0.612 4.238
## 2705 2.000 -1.270 -0.093 -0.040 0.630 -0.630 3.955
## 2706 2.000 -1.110 -0.125 -0.005 0.550 -0.678 2.696
## 2707 2.000 -0.570 0.017 -0.013 0.750 0.254 2.398
## 2708 1.500 -0.795 -0.044 -0.055 0.965 0.439 3.268
## 2709 2.000 -1.515 -0.140 -0.135 0.430 -1.648 8.623
## 2710 2.000 -0.717 -0.052 -0.112 0.833 0.651 2.586
## 2711 2.000 -0.670 -0.037 -0.015 0.560 -0.202 2.625
## 2712 2.000 -1.310 -0.030 -0.075 1.310 0.257 2.465
## 2713 2.000 -1.070 -0.049 -0.030 0.870 -0.210 3.409
## 2714 2.000 -0.930 0.020 -0.015 0.730 -0.221 2.101
## 2715 2.000 -1.505 -0.028 -0.025 0.995 -0.392 5.265
## 2716 2.000 -0.955 0.167 0.002 1.805 0.667 2.623
## 2717 2.000 -0.980 0.148 -0.062 2.170 0.812 2.649
## 2718 1.500 -0.730 -0.017 -0.065 0.870 0.521 2.738
## 2719 2.000 -1.230 -0.054 -0.040 0.885 -0.430 2.729
## 2720 2.000 -2.860 -0.039 0.000 0.940 -1.852 8.466
## 2721 2.000 -4.750 -0.048 0.130 0.920 -3.162 16.574
## 2722 1.500 -2.460 -0.001 0.000 0.750 -1.882 8.581
## 2723 2.000 -1.560 -0.117 -0.230 1.060 0.194 2.596
## 2724 2.000 -1.680 -0.101 -0.200 1.250 0.087 3.260
## 2725 2.000 -0.840 -0.058 -0.080 1.640 0.987 5.396
## 2726 2.000 -0.770 -0.059 -0.030 0.800 0.229 2.448
## 2727 2.000 -0.570 -0.065 -0.020 0.410 -0.409 2.198
## 2728 2.000 -0.580 0.049 -0.005 1.170 0.705 3.625
## 2729 2.000 -1.210 0.030 -0.052 0.930 -0.084 2.612
## 2730 2.000 -0.870 -0.030 -0.070 1.470 0.594 3.407
## 2731 1.500 -0.670 0.000 -0.045 0.970 0.433 2.810
## 2732 Inf -1.220 -0.004 0.040 0.940 -0.230 2.424
## 2733 2.000 -0.960 0.069 0.028 1.190 0.000 2.440
## 2734 2.000 -2.300 0.369 0.105 3.330 0.155 2.343
## 2735 1.500 -1.670 -0.124 0.000 0.920 -0.921 3.650
## 2736 2.000 -1.410 -0.121 -0.075 0.940 -0.321 2.529
## 2737 2.000 -0.590 -0.051 -0.085 1.000 0.905 3.492
## 2738 2.000 -1.315 -0.077 -0.135 0.835 0.031 2.491
## 2739 2.000 -1.010 -0.059 -0.100 0.900 -0.059 2.076
## 2740 1.500 -1.050 -0.146 -0.200 0.780 0.123 2.651
## 2741 1.500 -0.830 -0.106 -0.145 0.780 0.389 2.299
## 2742 1.500 -0.755 0.014 -0.090 1.000 0.458 2.597
## 2743 2.000 -0.990 -0.066 -0.015 0.630 -0.162 2.636
## 2744 2.000 -0.920 -0.076 -0.060 0.680 -0.098 2.415
## 2745 2.000 -0.550 -0.007 -0.025 0.620 0.438 2.348
## 2746 1.500 -1.850 -0.050 -0.020 0.660 -1.298 6.331
## 2747 2.000 -0.615 0.041 0.030 0.975 0.237 2.121
## 2748 1.500 -0.920 0.036 -0.040 1.415 0.806 3.540
## 2749 2.000 -1.212 0.243 0.000 3.237 1.507 4.537
## 2750 2.000 -0.890 0.153 -0.020 1.790 1.081 3.804
## 2751 2.000 -0.875 0.026 -0.035 1.340 0.468 2.828
## 2752 2.000 -1.195 0.007 -0.043 1.065 0.183 2.976
## 2753 2.000 -1.865 -0.227 -0.015 1.005 -0.568 2.471
## 2754 Inf -2.200 -0.079 -0.130 1.830 -0.088 3.148
## 2755 2.000 -1.605 -0.001 -0.010 1.165 -0.666 5.224
## 2756 2.000 -1.010 0.014 0.005 1.190 0.318 2.359
## 2757 2.000 -0.890 0.037 0.010 1.060 0.256 2.916
## 2758 1.500 -2.730 0.013 -0.005 2.660 0.149 2.231
## 2759 2.000 -1.075 0.122 0.000 1.185 -0.058 2.594
## 2760 2.000 -1.065 -0.072 0.002 0.755 -0.330 2.045
## 2761 2.000 -1.030 -0.015 -0.005 0.900 -0.139 2.257
## 2762 2.000 -1.455 -0.053 0.000 1.035 -0.255 2.844
## 2763 2.000 -0.510 0.039 0.000 0.870 0.599 3.022
## 2764 2.000 -0.525 0.006 0.020 0.645 0.075 2.133
## 2765 2.000 -1.505 -0.016 0.030 1.005 -0.599 3.061
## 2766 2.000 -0.695 -0.027 -0.090 0.770 0.518 2.387
## 2767 2.000 -1.670 0.111 0.162 2.150 0.141 2.227
## 2768 2.000 -1.135 0.030 0.030 0.945 -0.061 3.338
## 2769 2.000 -1.270 0.085 -0.020 1.725 0.568 2.754
## 2770 Inf -0.930 0.183 -0.015 2.735 1.325 4.928
## 2771 2.500 -1.150 0.108 0.000 2.455 1.355 5.188
## 2772 3.000 -0.930 -0.025 -0.043 1.625 0.539 2.918
## 2773 2.000 -2.703 -0.034 -0.005 1.658 -0.663 3.588
## 2774 2.000 -1.565 0.100 0.035 1.735 0.259 2.303
## 2775 2.000 -1.180 -0.131 -0.075 0.640 -0.369 1.960
## 2776 1.500 -0.860 0.015 0.025 0.700 -0.166 2.218
## 2777 2.000 -1.360 -0.096 -0.030 1.430 -0.026 2.879
## 2778 2.000 -1.555 -0.176 -0.130 1.050 -0.396 2.877
## 2779 2.000 -0.720 0.002 -0.010 0.880 0.104 2.728
## 2780 2.000 -0.960 -0.056 -0.085 1.020 0.358 3.651
## 2781 2.000 -1.080 -0.095 -0.108 1.030 -0.033 3.206
## 2782 1.500 -1.040 -0.144 -0.073 0.880 -0.014 2.769
## 2783 2.000 -1.052 -0.126 -0.072 1.038 0.206 3.015
## 2784 2.000 -0.900 -0.053 -0.065 0.740 0.065 2.351
## 2785 1.500 -0.530 -0.003 -0.040 0.900 1.217 4.923
## 2786 1.500 -1.660 -0.088 -0.028 1.435 -0.244 3.523
## 2787 3.500 -1.350 -0.035 -0.020 2.440 1.518 7.053
## 2788 2.000 -0.665 0.021 -0.025 2.255 2.568 11.105
## 2789 2.000 -1.440 -0.005 -0.065 2.320 1.168 5.415
## 2790 3.000 -1.925 -0.107 -0.040 1.275 -0.440 4.509
## 2791 2.000 -0.845 -0.032 -0.025 0.925 0.179 3.149
## 2792 1.500 -1.180 -0.118 -0.235 2.560 1.688 8.157
## 2793 2.000 -0.995 -0.029 -0.045 1.175 0.018 2.687
## 2794 2.000 -1.040 -0.041 -0.095 1.520 0.542 3.871
## 2795 2.000 -0.920 0.006 0.010 1.230 0.137 3.152
## 2796 2.000 -1.990 0.003 0.010 1.400 -0.691 3.626
## 2797 2.000 -1.955 -0.114 -0.010 1.245 -0.323 2.876
## 2798 2.000 -0.800 -0.081 -0.165 0.800 0.612 2.593
## 2799 2.000 -0.965 -0.120 -0.120 1.045 0.220 2.408
## 2800 2.000 -1.100 -0.075 -0.120 1.030 0.576 3.602
## 2801 1.500 -0.900 0.055 -0.040 1.150 0.606 3.380
## 2802 2.000 -1.655 -0.112 -0.040 0.895 -0.635 4.321
## 2803 2.000 -1.560 -0.126 -0.020 0.680 -1.103 4.182
## 2804 2.000 -1.130 -0.040 -0.032 0.890 -0.284 2.949
## 2805 2.000 -0.890 -0.139 -0.075 0.800 0.219 2.970
## 2806 2.000 -1.030 0.050 0.090 2.050 0.767 6.126
## 2807 2.000 -1.085 -0.053 -0.090 1.015 0.146 2.331
## 2808 1.500 -1.820 -0.006 0.000 1.220 -0.433 5.572
## 2809 2.000 -1.560 0.030 0.000 1.710 0.256 4.503
## 2810 2.000 -1.290 -0.087 -0.070 1.670 0.499 4.443
## 2811 2.000 -1.360 -0.107 -0.045 1.740 0.475 4.128
## 2812 2.000 -1.560 -0.066 0.000 1.600 0.270 4.583
## 2813 2.000 -1.250 -0.212 -0.190 1.040 0.113 2.311
## 2814 2.000 -1.200 -0.101 -0.095 1.330 0.388 3.187
## 2815 2.000 -1.110 -0.184 -0.135 0.940 0.028 2.204
## 2816 1.500 -1.030 -0.013 -0.065 0.960 -0.080 2.428
## 2817 2.000 -0.955 -0.112 -0.090 0.750 -0.073 2.738
## 2818 2.000 -1.120 0.001 -0.025 1.810 0.881 5.076
## 2819 2.000 -1.095 -0.066 -0.135 1.085 0.292 2.600
## 2820 2.000 -0.900 -0.137 -0.125 1.240 0.555 3.058
## 2821 2.000 -1.415 -0.201 -0.060 0.895 -0.415 2.233
## 2822 2.000 -0.930 -0.038 -0.065 0.830 -0.157 2.851
## 2823 2.000 -1.060 -0.126 -0.130 0.760 -0.082 2.157
## 2824 1.500 -0.800 0.001 -0.040 0.980 0.200 2.200
## 2825 2.000 -0.925 0.000 0.000 1.585 0.557 3.696
## 2826 2.000 -0.930 -0.002 -0.065 0.790 0.154 3.084
## 2827 1.500 -1.025 0.056 0.000 1.855 0.783 3.737
## 2828 2.000 -1.240 -0.084 -0.145 1.240 0.315 3.105
## 2829 1.500 -0.895 -0.097 -0.150 1.275 0.752 3.859
## 2830 1.500 -1.040 -0.024 0.000 1.215 0.217 2.964
## 2831 Inf -1.270 -0.024 -0.085 1.175 0.158 2.552
## 2832 2.000 -1.745 -0.064 -0.050 1.575 -0.141 2.541
## 2833 2.000 -1.370 -0.083 -0.040 1.030 -0.174 2.336
## 2834 1.500 -1.495 -0.113 -0.038 1.115 -0.103 2.795
## 2835 1.500 -1.030 0.018 -0.050 1.565 0.499 3.399
## 2836 2.000 -1.115 -0.160 -0.145 1.165 0.426 2.476
## 2837 2.000 -1.230 -0.110 -0.060 1.010 -0.027 2.605
## 2838 2.000 -0.360 -0.017 -0.025 0.540 0.651 2.936
## 2839 2.000 -1.070 -0.033 -0.045 1.250 0.401 3.034
## 2840 2.000 -1.165 -0.101 -0.115 1.255 0.486 2.732
## 2841 2.000 -0.990 -0.156 -0.145 1.280 0.458 3.838
## 2842 2.000 -0.840 -0.102 -0.060 1.390 0.753 4.300
## 2843 2.000 -0.895 -0.100 -0.060 0.610 -0.292 3.080
## 2844 2.000 -1.340 -0.115 -0.152 1.070 0.141 2.478
## 2845 2.000 -1.220 -0.093 -0.075 1.440 0.351 3.719
## 2846 2.000 -1.605 -0.060 -0.080 1.575 0.152 4.516
## 2847 2.000 -1.380 0.003 -0.040 1.490 0.119 4.370
## 2848 2.000 -1.180 -0.041 -0.190 1.290 0.514 3.309
## 2849 1.333 -1.170 -0.074 -0.080 1.160 0.426 3.487
## 2850 2.000 -0.950 -0.036 -0.095 0.890 0.400 2.628
## 2851 2.000 -0.825 0.013 -0.055 1.115 0.651 3.191
## 2852 2.000 -1.322 -0.104 -0.043 0.912 -0.254 3.346
## 2853 2.000 -1.010 -0.033 -0.065 0.910 0.221 2.629
## 2854 2.000 -0.800 -0.039 -0.015 0.970 0.470 3.143
## 2855 1.500 -0.780 0.005 -0.055 2.000 1.816 8.500
## 2856 2.000 -1.345 -0.084 -0.095 1.385 0.392 3.079
## 2857 1.500 -0.960 -0.103 -0.090 1.175 0.661 2.875
## 2858 2.000 -0.985 -0.051 -0.105 1.575 0.429 2.967
## 2859 2.000 -0.665 0.033 0.030 1.535 1.262 6.143
## 2860 2.000 -0.845 0.158 0.025 1.175 0.394 2.297
## 2861 2.000 -1.305 0.118 0.100 1.620 0.183 2.523
## 2862 2.000 -1.075 0.004 0.000 1.010 0.142 2.478
## 2863 2.000 -1.000 0.031 -0.020 1.295 0.432 2.944
## 2864 2.000 -0.785 0.038 -0.020 1.075 0.566 3.191
## 2865 2.000 -0.790 0.037 -0.038 0.980 0.404 3.013
## 2866 2.000 -0.810 0.024 -0.020 1.185 0.593 3.242
## 2867 2.000 -0.910 0.032 -0.015 1.590 1.167 5.034
## 2868 2.000 -0.880 -0.042 -0.110 1.340 0.614 2.558
## 2869 2.000 -0.790 0.031 0.000 1.220 0.594 3.756
## 2870 2.000 -1.040 -0.069 -0.110 1.130 0.187 2.714
## 2871 2.000 -1.450 -0.110 -0.005 1.660 0.577 6.562
## 2872 2.000 -1.350 -0.011 -0.055 1.670 0.714 7.731
## 2873 1.500 -0.727 -0.041 -0.108 0.583 0.088 2.077
## 2874 2.000 -1.085 -0.010 -0.070 1.190 0.123 3.013
## 2875 2.000 -1.530 -0.028 -0.010 0.820 -0.958 5.088
## 2876 2.000 -0.765 -0.037 -0.020 1.085 0.299 2.583
## 2877 2.000 -0.900 0.000 -0.030 1.200 0.402 3.663
## 2878 2.000 -2.190 -0.046 -0.005 3.160 0.559 4.285
## 2879 2.000 -2.895 -0.083 -0.075 3.385 0.332 4.398
## 2880 2.000 -1.300 -0.071 0.000 0.760 -0.688 3.055
## 2881 2.000 -1.030 -0.109 0.000 0.460 -0.647 2.761
## 2882 2.000 -0.990 -0.081 -0.162 0.720 -0.024 2.307
## 2883 2.000 -0.950 0.012 0.000 0.825 -0.194 2.321
## 2884 2.000 -1.290 -0.184 -0.135 0.720 -0.274 2.581
## 2885 2.000 -1.340 -0.022 -0.090 2.390 1.016 4.440
## 2886 2.000 -2.990 -0.389 -0.232 1.890 -0.325 3.206
## 2887 2.000 -3.090 -0.160 -0.085 0.785 -2.200 11.480
## 2888 2.000 -1.195 -0.098 -0.275 1.500 0.412 2.235
## 2889 2.000 -0.550 -0.034 -0.080 0.760 0.399 2.199
## 2890 2.000 -2.130 -0.155 0.000 0.820 -1.294 6.149
## 2891 1.500 -0.825 0.020 -0.028 1.090 0.642 3.443
## 2892 1.500 -1.580 0.009 -0.035 1.690 0.170 6.548
## 2893 2.000 -0.755 0.031 -0.010 1.030 0.239 3.349
## 2894 2.000 -1.305 -0.004 -0.025 0.915 -0.469 3.335
## 2895 1.500 -0.540 0.107 0.060 0.970 0.329 2.560
## 2896 Inf -1.232 -0.024 0.000 2.228 0.775 4.762
## 2897 2.000 -0.700 0.050 -0.010 1.670 1.275 6.479
## 2898 2.000 -1.020 0.043 0.065 1.510 0.083 2.536
## 2899 2.000 -0.850 0.034 0.005 1.840 0.899 4.214
## 2900 2.000 -0.915 0.041 -0.020 2.405 1.595 7.268
## 2901 2.000 -0.735 0.163 0.130 2.175 1.370 6.267
## 2902 1.500 -0.490 -0.002 -0.030 0.950 0.783 3.249
## 2903 4.000 -0.810 -0.057 0.000 1.320 0.701 4.355
## 2904 2.000 -0.820 -0.051 -0.015 0.720 -0.038 3.054
## 2905 2.000 -0.560 0.071 0.000 1.620 1.474 6.712
## 2906 1.500 -0.755 0.002 0.010 1.245 0.692 4.192
## 2907 1.500 -1.100 0.007 0.010 0.770 -0.549 3.614
## 2908 4.000 -0.795 0.044 0.000 1.025 0.470 3.333
## 2909 Inf -0.550 -0.002 0.020 0.620 -0.005 1.901
## 2910 2.000 -0.410 0.099 0.000 0.990 0.818 2.851
## 2911 1.500 -0.910 -0.051 -0.030 0.540 -0.233 2.843
## 2912 1.500 -0.435 0.019 0.025 0.525 0.124 2.058
## 2913 2.000 -0.800 0.009 0.000 0.810 -0.127 3.191
## 2914 1.500 -0.940 0.037 0.015 1.000 -0.127 4.534
## 2915 2.000 -0.975 0.001 0.000 1.095 0.122 3.374
## 2916 1.500 -1.230 -0.047 0.062 0.900 -0.520 3.290
## 2917 2.000 -0.610 -0.015 -0.052 0.670 0.253 2.415
## 2918 2.000 -1.262 -0.133 -0.062 0.547 -0.799 3.071
## 2919 2.000 -0.630 -0.009 -0.035 0.855 0.548 2.850
## 2920 2.000 -0.890 -0.018 -0.020 0.830 -0.179 2.434
## 2921 1.500 -1.005 -0.020 -0.060 0.925 -0.043 3.511
## 2922 2.000 -0.810 0.003 0.025 0.770 -0.174 2.812
## 2923 1.500 -1.060 -0.023 0.000 1.020 -0.008 4.169
## 2924 1.500 -1.240 -0.069 -0.005 0.950 -0.121 4.160
## 2925 2.000 -0.990 -0.022 0.015 0.780 -0.454 3.462
## 2926 2.000 -1.245 0.004 0.055 0.735 -0.478 3.139
## 2927 2.000 -0.385 0.025 0.000 1.365 1.918 9.201
## 2928 1.500 -0.460 0.050 -0.025 1.200 1.130 5.316
## 2929 2.000 -0.960 0.002 -0.117 1.520 0.684 3.719
## 2930 1.500 -0.430 0.047 -0.005 0.730 0.640 3.273
## 2931 2.000 -0.760 0.048 -0.020 1.310 0.802 3.709
## 2932 2.000 -0.895 0.021 0.038 0.795 -0.027 2.009
## 2933 2.000 -0.840 -0.069 0.005 0.660 -0.106 2.683
## 2934 2.000 -0.665 -0.079 -0.045 0.645 0.050 2.970
## 2935 2.000 -0.835 0.008 -0.090 0.900 0.286 2.489
## 2936 2.000 -0.620 0.006 -0.015 0.900 0.460 2.630
## 2937 2.000 -1.060 -0.059 -0.030 0.710 -0.377 3.028
## 2938 1.500 -0.650 -0.059 -0.030 0.810 0.194 3.523
## 2939 2.000 -0.520 -0.015 -0.040 0.920 0.642 2.675
## 2940 2.000 -1.530 -0.133 -0.080 0.650 -0.858 4.706
## 2941 2.000 -0.875 0.021 -0.045 1.625 1.164 5.388
## 2942 2.000 -0.610 0.030 -0.030 1.360 1.097 4.695
## 2943 1.500 -0.850 -0.007 0.000 0.920 0.352 3.092
## 2944 7.000 -2.110 -0.149 0.000 1.680 -0.088 2.785
## 2945 2.000 -0.680 -0.057 -0.050 0.780 0.245 3.264
## 2946 1.500 -0.935 -0.103 -0.070 1.375 0.810 5.577
## 2947 2.000 -1.475 -0.066 -0.110 1.195 0.003 2.746
## 2948 1.500 -0.580 -0.039 -0.010 0.710 0.413 2.452
## 2949 2.000 -1.815 -0.067 -0.025 1.495 -0.148 3.554
## 2950 1.500 -0.800 0.023 0.000 1.080 0.281 3.392
## 2951 2.000 -0.550 -0.049 -0.045 0.690 0.624 3.254
## 2952 2.000 -1.010 -0.094 -0.110 1.090 0.376 3.742
## 2953 2.000 -0.990 -0.089 -0.095 0.845 0.110 3.529
## 2954 2.000 -0.960 -0.038 -0.140 1.240 0.726 3.697
## 2955 2.000 -0.820 0.004 -0.020 0.835 0.363 2.910
## 2956 2.000 -0.732 -0.018 -0.018 0.798 0.295 3.244
## 2957 2.500 -1.240 -0.092 -0.040 0.910 -0.348 2.955
## 2958 2.000 -1.235 0.054 -0.090 1.925 0.654 3.421
## 2959 1.500 -1.070 0.014 0.000 1.460 0.625 3.837
## 2960 2.000 -0.910 -0.055 -0.080 0.580 -0.029 2.751
## 2961 2.000 -1.185 -0.140 -0.250 0.755 0.124 2.254
## 2962 2.000 -0.815 0.004 -0.003 0.735 -0.161 3.016
## 2963 1.500 -0.980 -0.058 -0.055 1.010 0.368 2.640
## 2964 2.000 -0.820 -0.074 -0.040 0.800 0.168 2.699
## 2965 2.000 -1.540 0.014 -0.015 1.640 0.183 3.971
## 2966 2.000 -1.725 -0.074 -0.055 1.155 -0.545 3.690
## 2967 2.000 -0.470 0.013 0.000 0.700 0.383 2.249
## 2968 2.000 -1.360 -0.118 -0.075 0.950 -0.273 2.197
## 2969 2.000 -2.000 -0.105 -0.150 1.050 -0.365 4.028
## 2970 1.500 -0.910 -0.121 -0.065 0.540 -0.269 2.366
## 2971 Inf -1.620 -0.035 0.000 1.340 -0.120 2.763
## 2972 2.000 -2.710 -0.084 0.000 1.260 -1.470 7.716
## 2973 2.000 -4.395 -0.224 -0.110 1.465 -2.723 14.750
## 2974 2.000 -1.850 -0.127 -0.050 0.780 -1.014 4.178
## 2975 1.500 -1.570 -0.020 -0.010 1.180 -0.650 3.638
## 2976 2.000 -0.995 -0.149 -0.040 0.485 -0.447 2.204
## 2977 4.000 -1.350 -0.082 -0.038 1.280 0.121 4.249
## 2978 2.000 -1.125 -0.009 -0.010 1.515 0.204 2.422
## 2979 2.000 -0.935 -0.076 -0.002 1.155 0.241 3.660
## 2980 2.000 -1.280 -0.231 -0.170 0.800 -0.139 2.725
## 2981 2.000 -1.430 -0.105 -0.015 0.700 -0.449 3.599
## 2982 1.500 -1.570 -0.082 -0.028 1.280 -0.105 3.191
## 2983 1.500 -2.690 -0.227 -0.103 0.860 -1.295 5.044
## 2984 2.000 -2.255 -0.288 -0.290 2.135 0.118 3.037
## 2985 2.000 -2.865 -0.327 -0.210 1.665 -0.443 3.160
## 2986 11.000 -1.570 -0.149 0.000 1.530 0.066 3.740
## 2987 1.500 -1.145 -0.048 -0.050 1.525 0.651 6.329
## 2988 2.000 -1.635 -0.282 -0.170 1.165 -0.037 2.693
## 2989 2.000 -1.320 -0.093 -0.005 0.700 -0.430 3.775
## 2990 2.000 -0.800 -0.030 0.045 0.820 -0.155 2.066
## 2991 2.000 -0.720 -0.028 0.010 0.730 0.076 2.236
## 2992 2.000 -0.905 0.073 0.040 0.905 -0.081 3.134
## 2993 2.000 -0.965 0.172 0.045 2.025 0.811 3.494
## 2994 2.000 -0.940 -0.044 0.000 1.170 -0.009 3.434
## 2995 2.000 -1.350 -0.063 -0.015 0.880 -0.342 3.492
## 2996 2.000 -1.365 -0.025 -0.020 1.060 -0.366 5.475
## 2997 Inf -1.080 -0.079 -0.065 0.700 -0.253 3.051
## 2998 2.000 -2.715 -0.107 -0.025 2.375 -0.200 5.717
## 2999 1.500 -0.990 -0.056 -0.055 1.080 0.302 2.815
## 3000 4.000 -0.740 0.006 0.000 0.820 0.382 3.590
## 3001 2.000 -0.665 -0.047 -0.090 0.700 0.277 2.096
## 3002 2.000 -1.020 -0.005 -0.025 1.115 0.151 2.616
## 3003 2.000 -0.915 0.012 0.000 1.225 0.588 3.256
## 3004 2.000 -1.110 -0.042 -0.005 1.130 0.111 2.968
## 3005 2.000 -0.920 -0.076 -0.040 1.210 0.344 3.001
## 3006 2.000 -1.030 -0.080 -0.020 1.250 0.153 2.796
## 3007 1.500 -0.660 -0.018 -0.030 0.880 0.571 3.139
## 3008 1.500 -0.940 -0.055 -0.075 2.330 1.812 9.127
## 3009 1.500 -0.775 -0.052 -0.055 1.085 0.474 2.750
## 3010 2.000 -1.155 -0.013 -0.035 1.145 0.295 4.023
## 3011 2.000 -0.725 0.012 -0.005 1.000 0.240 2.156
## 3012 2.000 -1.090 -0.056 0.005 1.120 -0.046 2.964
## 3013 2.000 -0.910 0.023 -0.020 1.310 0.504 3.033
## 3014 2.000 -1.350 -0.085 -0.140 1.990 1.032 5.895
## 3015 1.500 -1.245 -0.060 -0.015 1.730 0.362 3.645
## 3016 2.000 -1.270 0.007 -0.078 2.870 1.843 7.394
## 3017 1.500 -1.450 -0.039 -0.155 2.710 1.489 7.098
## 3018 3.000 -0.895 -0.026 -0.065 1.665 0.906 3.516
## 3019 Inf -2.385 -0.055 -0.115 2.225 -0.002 7.274
## 3020 2.000 -1.205 -0.049 -0.055 1.925 0.871 4.741
## 3021 1.500 -0.907 -0.049 -0.068 1.702 1.089 4.743
## 3022 2.000 -1.040 -0.003 -0.095 1.170 0.350 2.839
## 3023 2.000 -1.290 0.223 -0.080 2.900 0.848 2.933
## 3024 5.000 -2.300 -0.079 -0.110 2.450 0.433 3.037
## 3025 2.000 -1.490 -0.053 -0.085 1.090 -0.173 4.006
## 3026 1.500 -0.780 0.055 -0.020 1.170 0.690 3.070
## 3027 2.000 -1.030 0.002 -0.045 0.930 -0.041 2.899
## 3028 1.500 -0.600 -0.074 -0.055 0.570 0.248 2.173
## 3029 2.000 -0.700 -0.034 -0.005 0.790 0.164 4.130
## 3030 1.500 -2.500 -0.474 -0.305 2.510 0.245 2.424
## 3031 2.000 -1.150 -0.002 0.035 1.010 -0.411 3.829
## 3032 2.000 -0.840 0.006 0.020 1.010 0.222 2.428
## 3033 2.000 -0.865 -0.027 -0.080 0.895 0.197 2.163
## 3034 Inf -4.280 -0.731 -0.550 1.520 -0.895 3.090
## 3035 2.000 -0.895 -0.050 0.000 0.930 0.149 2.188
## 3036 2.000 -1.080 -0.103 -0.110 0.860 -0.047 1.773
## 3037 1.333 -2.125 -0.029 -0.005 1.345 -0.667 7.342
## 3038 1.500 -1.225 0.073 0.000 1.815 0.584 4.391
## 3039 1.500 -1.030 0.053 0.030 1.550 0.445 3.811
## 3040 2.000 -0.830 -0.028 -0.005 0.860 0.041 3.255
## 3041 2.000 -1.075 -0.078 0.000 0.735 -0.023 2.447
## 3042 2.000 -0.940 -0.067 -0.035 0.770 -0.201 2.298
## 3043 2.000 -1.425 -0.016 -0.015 1.165 -0.242 2.954
## 3044 2.000 -0.665 -0.003 -0.015 1.065 0.731 3.702
## 3045 2.000 -1.580 0.012 -0.010 2.240 0.614 4.159
## 3046 2.000 -1.570 -0.066 -0.040 2.090 0.434 4.264
## 3047 2.000 -1.660 -0.066 -0.050 1.590 0.204 4.364
## 3048 2.000 -1.120 0.053 0.060 1.190 -0.245 2.445
## 3049 2.000 -1.540 -0.120 -0.110 0.910 -0.345 2.554
## 3050 2.000 -2.070 -0.248 -0.110 0.870 -0.567 3.229
## 3051 2.000 -0.755 -0.098 -0.148 0.745 0.184 2.420
## 3052 2.000 -1.100 -0.156 -0.122 1.010 0.102 2.279
## 3053 2.000 -1.140 -0.058 -0.045 0.930 -0.212 3.048
## 3054 2.000 -0.740 -0.022 0.000 0.770 -0.052 2.800
## 3055 2.000 -1.070 -0.069 -0.050 1.060 0.121 2.569
## 3056 2.000 -1.325 0.001 0.048 1.055 -0.156 2.378
## 3057 2.000 -1.405 -0.048 -0.060 1.055 -0.115 2.933
## 3058 2.500 -1.910 0.051 -0.010 2.390 0.339 7.003
## 3059 1.500 -1.105 -0.007 -0.050 1.255 0.589 3.911
## 3060 2.000 -3.370 -0.309 -0.035 0.440 -2.128 7.027
## 3061 1.500 -1.665 -0.051 0.013 1.395 -0.170 2.995
## 3062 2.000 -1.030 -0.056 0.055 0.990 -0.206 2.759
## 3063 2.000 -1.095 0.012 0.000 1.095 0.022 3.075
## 3064 2.000 -0.970 0.058 -0.005 1.640 0.575 3.264
## 3065 2.000 -1.160 0.006 -0.105 0.990 0.083 2.362
## 3066 2.000 -2.310 0.047 0.025 1.540 -0.851 4.768
## 3067 2.000 -1.420 -0.009 0.010 2.210 0.986 8.012
## 3068 Inf -2.135 -0.027 0.092 1.955 -0.076 3.026
## 3069 2.000 -2.150 -0.009 0.000 1.460 -0.305 4.164
## 3070 1.500 -1.000 -0.108 -0.082 0.810 -0.034 2.305
## 3071 2.000 -1.032 -0.079 0.000 0.917 -0.431 2.651
## 3072 2.000 -0.875 0.117 0.045 1.190 0.091 2.810
## 3073 2.000 -0.755 -0.052 0.000 1.070 0.396 2.882
## 3074 2.000 -1.510 0.128 0.005 2.720 1.148 5.541
## 3075 2.000 -1.190 0.008 0.000 1.160 0.049 2.186
## 3076 1.500 -0.840 0.093 0.000 1.120 0.390 3.492
## 3077 2.000 -1.260 -0.069 -0.015 0.930 -0.186 4.982
## 3078 3.000 -1.980 -0.187 0.000 0.900 -0.795 3.212
## 3079 2.000 -0.970 -0.059 -0.025 0.780 -0.228 3.044
## 3080 2.000 -0.715 0.082 0.000 1.605 1.142 5.855
## 3081 1.500 -1.370 0.051 0.000 1.410 -0.247 4.235
## 3082 2.000 -0.640 -0.088 -0.150 0.680 0.383 2.168
## 3083 2.000 -0.865 -0.049 -0.010 1.065 0.297 2.824
## 3084 2.000 -0.550 0.021 0.000 0.930 0.611 3.983
## 3085 2.000 -1.570 -0.089 0.010 0.970 -0.776 3.945
## 3086 3.000 -2.170 -0.201 0.005 2.060 0.101 2.417
## 3087 2.000 -0.590 0.111 0.075 0.930 0.334 3.025
## 3088 1.500 -1.130 -0.098 -0.045 0.530 -0.832 4.105
## 3089 2.000 -1.445 -0.171 -0.035 0.775 -0.525 3.207
## 3090 2.000 -0.945 -0.101 -0.075 0.685 -0.047 2.890
## 3091 8.000 -1.000 -0.083 0.000 0.600 -0.184 2.411
## 3092 2.000 -1.050 -0.115 -0.040 0.650 -0.275 2.752
## 3093 1.500 -1.550 -0.199 -0.110 0.880 -0.544 2.788
## 3094 2.500 -1.410 -0.210 -0.037 0.660 -0.257 2.432
## 3095 1.500 -1.110 -0.061 0.000 0.690 -0.682 4.737
## 3096 2.000 -1.740 -0.225 -0.240 0.770 -0.570 3.212
## 3097 2.000 -1.125 -0.048 -0.005 0.970 -0.495 3.173
## 3098 2.000 -0.720 -0.015 -0.010 0.910 0.229 3.011
## 3099 2.000 -0.830 -0.042 -0.045 0.710 -0.137 2.702
## 3100 3.000 -1.120 -0.055 -0.005 0.850 -0.365 2.469
## 3101 Inf -1.195 -0.075 -0.005 0.990 -0.240 2.555
## 3102 2.000 -1.210 -0.050 -0.040 0.710 -0.412 3.383
## 3103 1.500 -0.723 -0.010 -0.002 0.797 0.234 2.371
## 3104 Inf -0.725 -0.078 -0.045 0.685 0.112 2.153
## 3105 2.000 -0.885 -0.063 0.000 0.615 -0.391 3.282
## 3106 2.000 -1.070 -0.076 -0.020 0.730 -0.484 2.683
## 3107 2.000 -0.650 0.065 0.000 0.580 -0.179 2.642
## 3108 2.000 -0.740 -0.006 -0.060 1.100 0.566 3.500
## 3109 6.000 -1.240 -0.154 0.000 1.330 0.379 3.300
## 3110 1.500 -0.620 -0.030 -0.045 0.880 0.455 2.476
## 3111 Inf -1.180 -0.155 -0.155 1.430 0.476 3.444
## 3112 1.500 -1.215 0.008 0.018 0.935 -0.281 2.621
## 3113 2.000 -1.500 -0.123 -0.110 1.040 -0.309 4.238
## 3114 2.000 -0.860 -0.042 -0.070 1.240 0.482 3.373
## 3115 2.000 -1.545 -0.023 -0.080 1.065 -0.181 2.817
## 3116 8.500 -0.890 -0.092 0.000 0.350 -1.079 3.439
## 3117 2.000 -1.155 -0.026 -0.002 0.725 -0.581 3.602
## 3118 2.000 -1.340 -0.046 -0.010 0.700 -0.871 4.206
## 3119 2.000 -2.380 -0.130 0.005 1.060 -1.227 7.050
## 3120 2.000 -1.680 -0.143 -0.230 1.120 -0.173 3.754
## 3121 2.000 -0.720 0.013 -0.010 0.690 -0.070 2.378
## 3122 2.000 -1.270 -0.063 -0.040 0.760 -0.390 3.074
## 3123 2.000 -0.945 0.032 -0.045 1.550 0.675 3.705
## 3124 2.000 -1.345 -0.089 -0.055 1.065 0.133 3.171
## 3125 1.500 -1.120 -0.044 -0.030 1.110 0.290 4.733
## 3126 2.000 -1.180 0.001 -0.010 1.480 0.261 3.420
## 3127 1.500 -0.820 -0.020 0.015 0.340 -0.999 3.926
## 3128 2.000 -0.930 0.018 0.025 0.930 -0.312 2.682
## 3129 2.000 -1.140 0.025 0.020 1.020 -0.140 2.940
## 3130 2.000 -0.930 0.122 0.030 1.380 0.285 2.512
## 3131 2.000 -1.105 0.031 -0.025 1.805 0.937 4.725
## 3132 2.000 -0.685 0.086 0.043 1.135 0.666 3.276
## 3133 2.000 -0.650 0.059 0.055 0.860 0.127 3.306
## 3134 2.000 -1.200 0.055 0.035 1.280 0.063 3.243
## 3135 1.500 -1.305 0.020 0.012 0.975 -0.409 3.704
## 3136 2.000 -2.260 -0.037 0.115 1.370 -0.986 3.991
## 3137 2.000 -1.105 0.050 0.018 1.255 0.019 2.481
## 3138 2.000 -1.210 -0.014 0.000 1.090 -0.237 2.306
## 3139 1.500 -0.930 -0.036 0.000 1.180 -0.061 2.740
## 3140 2.000 -0.680 0.060 -0.005 0.780 0.213 2.543
## 3141 Inf -0.750 -0.035 -0.035 1.290 0.770 4.703
## 3142 2.000 -1.290 -0.057 -0.020 1.025 -0.246 2.659
## 3143 Inf -0.690 -0.030 -0.015 0.520 -0.338 2.427
## 3144 2.000 -0.740 -0.050 -0.055 0.950 0.323 3.197
## 3145 1.500 -1.425 -0.139 -0.110 0.840 -0.197 3.022
## 3146 2.000 -0.995 -0.061 -0.055 0.835 0.032 2.447
## 3147 Inf -1.530 -0.293 -0.295 0.900 -0.072 2.385
## 3148 2.000 -1.260 -0.227 -0.380 0.960 0.190 2.298
## 3149 2.000 -1.870 -0.097 -0.055 0.990 -1.111 6.610
## 3150 2.000 -1.700 -0.128 -0.082 0.740 -0.867 3.943
## 3151 1.500 -1.260 -0.057 -0.040 0.860 -0.464 3.048
## 3152 2.000 -1.305 -0.117 -0.010 0.715 -0.649 2.917
## 3153 1.500 -0.800 -0.081 -0.030 0.775 0.169 2.727
## 3154 2.000 -1.420 -0.103 -0.010 0.640 -0.508 3.006
## 3155 2.000 -1.060 -0.053 -0.060 0.990 0.076 2.848
## 3156 2.000 -1.275 -0.078 -0.020 0.815 -0.320 2.362
## 3157 2.000 -1.080 -0.118 -0.065 0.410 -0.655 2.659
## 3158 2.000 -1.235 -0.152 0.000 1.005 -0.039 1.887
## 3159 2.000 -1.260 -0.120 -0.085 0.800 -0.153 2.889
## 3160 1.500 -1.490 -0.127 -0.080 0.640 -0.501 3.225
## 3161 2.000 -1.140 -0.056 -0.025 0.750 -0.331 3.034
## 3162 2.000 -0.905 0.001 0.000 0.755 -0.344 2.446
## 3163 1.500 -0.750 0.011 -0.050 0.980 0.205 2.640
## 3164 2.000 -0.925 -0.096 -0.030 0.970 -0.050 2.685
## 3165 2.000 -1.560 -0.117 -0.025 1.140 -0.286 2.930
## 3166 2.000 -1.220 -0.103 -0.010 1.190 0.037 2.815
## 3167 2.000 -1.510 -0.063 0.000 0.585 -0.755 3.852
## 3168 1.500 -1.580 -0.095 -0.020 0.635 -0.905 3.707
## 3169 2.000 -1.015 -0.038 -0.005 1.015 -0.126 2.205
## 3170 2.000 -0.895 -0.085 -0.065 0.655 -0.224 2.136
## 3171 2.000 -0.955 -0.001 0.015 1.305 0.167 2.263
## 3172 2.000 -0.953 -0.121 -0.082 0.598 -0.189 2.054
## 3173 2.000 -1.405 0.053 -0.030 1.495 0.180 3.404
## 3174 2.000 -1.000 0.061 0.000 1.080 0.014 2.293
## 3175 2.000 -1.295 -0.056 -0.110 1.405 0.061 2.379
## 3176 2.000 -0.800 0.084 0.000 1.230 0.547 2.943
## 3177 2.000 -1.875 -0.095 0.000 0.885 -1.409 5.002
## 3178 2.000 -1.070 -0.005 -0.055 0.800 -0.080 2.465
## 3179 2.000 -0.860 -0.056 -0.085 0.680 0.136 2.195
## 3180 2.000 -1.260 0.004 0.000 1.340 0.192 3.721
## 3181 3.000 -0.865 0.041 0.030 0.985 -0.348 3.564
## 3182 3.000 -1.435 -0.015 0.000 1.190 -0.121 2.566
## 3183 2.000 -1.035 -0.155 -0.110 0.915 -0.083 1.896
## 3184 2.000 -0.845 -0.074 -0.055 0.575 -0.133 2.065
## 3185 2.000 -1.240 -0.109 -0.095 0.830 -0.209 2.636
## 3186 2.000 -1.285 0.030 0.055 1.480 -0.261 2.567
## 3187 2.000 -1.100 0.100 0.085 2.050 0.676 3.787
## 3188 1.500 -0.925 0.156 0.125 1.945 0.638 3.455
## 3189 2.000 -1.090 0.114 0.040 1.730 0.379 3.645
## 3190 2.000 -1.285 0.047 0.050 1.285 -0.006 3.749
## 3191 1.500 -0.865 0.074 0.023 1.085 0.178 3.446
## 3192 2.000 -1.350 0.025 0.000 1.340 0.195 3.344
## 3193 2.000 -0.740 0.004 0.000 0.770 -0.301 3.032
## 3194 2.000 -1.665 -0.119 -0.110 1.225 -0.683 4.515
## 3195 2.000 -1.160 0.017 0.005 1.310 0.157 2.472
## 3196 2.000 -1.480 -0.035 0.000 0.730 -0.955 5.776
## 3197 2.000 -1.810 -0.007 0.000 0.820 -1.391 8.369
## 3198 2.000 -0.715 0.001 0.020 1.015 0.114 2.585
## 3199 2.000 -1.100 0.083 0.000 1.680 0.533 4.251
## 3200 2.000 -1.065 0.005 0.030 0.955 -0.255 3.479
## 3201 2.000 -0.630 0.053 0.000 1.255 0.499 3.455
## 3202 2.000 -1.000 0.066 0.080 1.890 0.995 5.786
## 3203 2.000 -1.385 -0.012 0.010 2.585 1.153 5.844
## 3204 2.000 -1.010 -0.062 -0.150 1.100 0.524 3.294
## 3205 1.500 -0.470 0.005 -0.020 1.030 0.929 3.799
## 3206 1.500 -1.060 -0.030 -0.100 1.770 0.888 4.187
## 3207 2.000 -0.780 0.035 -0.095 2.365 1.669 6.775
## 3208 2.000 -0.965 0.006 -0.080 2.310 1.703 7.764
## 3209 1.500 -1.315 -0.039 -0.030 1.905 0.496 3.910
## 3210 2.000 -1.190 0.040 0.005 1.250 0.287 3.461
## 3211 3.000 -1.465 -0.048 0.000 1.190 -0.614 5.236
## 3212 2.000 -1.160 -0.017 0.030 0.570 -0.845 4.036
## 3213 2.000 -1.105 -0.030 0.010 0.925 -0.274 2.739
## 3214 2.000 -1.055 -0.013 0.055 0.865 -0.422 3.180
## 3215 1.500 -1.720 0.033 -0.035 2.410 0.694 3.964
## 3216 2.000 -1.010 -0.052 -0.120 1.240 0.241 2.724
## 3217 2.000 -0.820 -0.043 -0.015 0.890 0.193 2.592
## 3218 2.000 -0.860 -0.038 -0.030 0.960 0.323 4.464
## 3219 2.000 -1.280 0.034 0.020 0.800 -0.554 3.577
## 3220 2.000 -0.590 -0.029 -0.035 0.870 0.723 3.455
## 3221 1.500 -1.070 -0.041 0.000 0.900 -0.148 2.832
## 3222 1.500 -1.055 -0.091 -0.050 0.875 -0.160 2.808
## 3223 2.500 -2.200 -0.149 -0.100 1.070 -0.514 4.155
## 3224 2.000 -1.500 -0.101 -0.060 1.700 0.161 2.849
## 3225 2.000 -1.035 -0.064 -0.005 0.865 -0.228 2.635
## 3226 2.000 -1.590 -0.176 -0.020 0.770 -0.533 2.775
## 3227 1.500 -1.150 0.012 0.010 1.300 -0.019 2.333
## 3228 2.000 -1.140 0.147 0.105 1.550 0.184 2.610
## 3229 2.000 -1.140 0.058 0.105 1.245 -0.110 2.545
## 3230 2.000 -0.830 0.011 0.035 1.015 0.026 2.908
## 3231 1.500 -1.280 -0.061 -0.030 0.640 -0.689 4.218
## 3232 2.000 -1.248 -0.023 0.018 0.833 -0.787 3.627
## 3233 2.000 -0.790 -0.018 -0.007 1.010 0.130 2.649
## 3234 2.000 -0.415 0.021 0.002 0.375 0.038 2.425
## 3235 2.000 -1.020 -0.096 0.000 1.300 0.225 3.776
## 3236 2.000 -3.400 -0.009 -0.007 2.230 -0.906 5.990
## 3237 2.000 -0.885 -0.052 -0.115 1.075 0.474 2.829
## 3238 2.000 -0.650 -0.008 -0.055 1.490 1.356 6.186
## 3239 2.000 -1.225 -0.059 -0.120 1.705 0.774 4.838
## 3240 2.000 -0.750 -0.065 -0.050 1.290 0.943 5.457
## 3241 2.000 -0.835 0.096 0.030 1.755 0.973 4.910
## 3242 2.000 -0.880 0.064 0.010 1.130 0.313 3.813
## 3243 1.500 -0.810 0.027 0.005 1.100 0.357 3.474
## 3244 2.000 -1.085 0.027 0.005 0.740 -0.283 3.420
## 3245 2.000 -2.060 -0.055 0.055 1.130 -1.303 7.094
## 3246 2.000 -2.190 -0.291 -0.155 1.220 -0.257 2.066
## 3247 2.000 -2.430 -0.144 -0.015 1.770 -0.073 2.375
## 3248 3.000 -4.240 -0.721 -1.285 3.260 0.121 1.857
## 3249 2.000 -2.030 0.112 0.030 1.340 -0.455 3.732
## 3250 1.500 -4.010 -0.005 -0.015 2.070 -2.162 14.132
## 3251 2.000 -1.370 -0.052 -0.030 0.840 -1.243 6.379
## 3252 1.500 -1.850 0.077 -0.005 1.930 0.233 4.205
## 3253 4.000 -0.620 0.061 0.000 3.010 3.707 19.901
## 3254 2.000 -1.600 0.182 0.000 3.825 1.039 3.650
## 3255 2.000 -1.695 0.279 0.055 2.305 0.570 2.820
## 3256 14.000 -1.225 0.290 0.000 4.250 2.108 8.849
## 3257 2.000 -1.960 0.127 0.120 3.530 1.143 9.070
## 3258 2.000 -1.450 0.057 -0.005 2.035 0.323 2.761
## 3259 5.000 -1.650 0.126 0.000 3.350 0.941 4.350
## 3260 5.000 -2.340 0.247 0.000 4.315 0.644 4.102
## 3261 2.000 -1.060 0.257 0.025 2.410 1.135 4.519
## 3262 15.000 -1.480 0.359 0.000 3.460 0.900 3.267
## 3263 1.500 -0.845 -0.074 -0.002 0.635 -0.298 2.519
## 3264 1.500 -0.900 0.083 0.025 0.890 -0.042 2.617
## 3265 2.000 -1.080 0.065 0.060 1.090 -0.102 2.975
## 3266 2.000 -1.260 0.032 0.090 1.030 -0.386 2.881
## 3267 2.000 -1.155 0.037 0.085 0.975 -0.412 2.689
## 3268 Inf -1.130 0.044 0.000 1.210 -0.165 2.670
## 3269 1.500 -0.745 0.033 0.040 0.735 -0.097 2.902
## 3270 Inf -1.040 0.176 0.140 1.890 0.623 3.463
## 3271 2.000 -1.200 0.180 0.140 1.870 0.384 2.759
## 3272 Inf -0.915 0.099 0.100 1.245 0.090 1.976
## 3273 2.000 -1.015 0.207 0.120 1.555 0.336 2.629
## 3274 2.000 -1.200 0.021 -0.030 1.595 0.749 3.307
## 3275 2.000 -1.055 0.030 -0.020 1.355 0.355 3.008
## 3276 2.000 -1.020 0.038 -0.010 1.255 0.292 3.506
## 3277 2.000 -0.565 0.076 0.030 0.760 0.185 2.688
## 3278 2.000 -0.860 0.032 0.000 1.580 0.683 4.440
## 3279 2.000 -0.910 0.002 -0.015 0.710 -0.301 3.627
## 3280 2.000 -0.990 0.096 0.020 1.640 0.504 3.375
## 3281 1.500 -1.830 -0.087 -0.065 1.850 0.059 5.666
## 3282 2.000 -0.515 0.122 0.070 1.495 1.433 7.227
## 3283 2.000 -1.050 0.088 0.115 1.800 0.569 4.498
## 3284 2.000 -0.695 0.111 0.115 1.885 0.853 4.273
## 3285 Inf -1.210 0.157 0.190 2.270 0.466 3.951
## 3286 2.000 -1.510 0.069 0.040 1.810 -0.047 2.492
## 3287 2.000 -1.130 0.100 0.050 1.220 0.060 2.593
## 3288 2.000 -0.960 0.001 0.000 1.160 0.057 3.213
## 3289 2.000 -0.710 -0.040 -0.005 1.480 0.883 5.088
## 3290 2.000 -0.540 0.081 -0.020 0.915 0.469 2.565
## 3291 2.000 -0.630 0.003 0.010 0.790 -0.083 2.505
## 3292 2.000 -0.750 0.044 -0.025 1.040 0.267 2.166
## 3293 2.000 -0.615 0.081 0.000 0.975 0.174 1.884
## 3294 1.500 -0.925 0.012 -0.112 1.215 0.444 2.678
## 3295 1.500 -0.485 -0.024 -0.020 0.695 0.246 2.700
## 3296 2.000 -0.750 0.026 -0.045 1.460 0.726 3.862
## 3297 2.000 -2.060 -0.061 0.025 0.820 -1.567 8.088
## 3298 2.000 -0.920 0.027 0.060 1.560 0.631 4.266
## 3299 2.000 -1.070 0.020 0.000 2.020 0.867 4.922
## 3300 2.000 -1.025 0.088 0.030 0.910 -0.178 2.741
## 3301 2.000 -1.110 0.021 -0.028 1.030 0.152 2.520
## 3302 2.000 -0.920 0.067 0.020 1.040 0.119 2.420
## 3303 2.000 -0.990 -0.021 0.033 0.920 0.046 2.496
## 3304 2.000 -1.380 0.104 0.112 1.810 0.066 2.329
## 3305 1.500 -0.575 0.058 0.020 0.710 -0.013 2.080
## 3306 2.000 -1.655 -0.059 0.005 1.190 -0.176 2.660
## 3307 1.500 -1.045 -0.005 0.000 0.890 -0.029 4.068
## 3308 2.000 -1.855 -0.133 -0.080 0.845 -1.040 7.013
## 3309 2.000 -2.565 -0.291 -0.065 1.125 -0.544 3.066
## 3310 1.500 -1.000 -0.078 -0.057 0.970 0.162 2.717
## 3311 2.000 -1.310 0.023 -0.010 1.770 0.368 4.413
## 3312 2.000 -0.940 0.089 0.100 1.510 0.404 3.770
## 3313 2.000 -0.990 0.044 0.015 1.150 0.238 3.095
## 3314 2.000 -1.355 0.075 -0.005 1.505 0.350 3.239
## 3315 1.500 -0.590 -0.024 -0.035 0.730 0.260 2.870
## 3316 1.500 -1.060 0.008 -0.005 0.980 -0.194 3.339
## 3317 2.000 -0.990 -0.059 -0.050 0.600 -0.325 2.430
## 3318 2.000 -0.955 -0.060 0.010 0.770 -0.234 2.150
## 3319 2.000 -1.340 0.017 0.090 0.980 -0.727 3.214
## 3320 2.000 -0.260 0.043 -0.005 0.490 0.481 2.203
## 3321 2.000 -1.000 -0.029 -0.010 1.130 0.259 2.418
## 3322 2.000 -1.040 0.012 -0.005 1.360 0.132 2.366
## 3323 2.000 -0.770 0.025 -0.085 1.350 0.856 3.833
## 3324 2.000 -0.960 0.050 0.000 1.490 0.354 2.514
## 3325 2.000 -0.840 0.015 0.010 0.850 0.053 2.700
## 3326 1.500 -0.730 0.088 0.035 1.285 0.515 3.399
## 3327 2.000 -0.680 -0.004 0.010 0.825 0.568 5.122
## 3328 3.000 -1.140 0.110 0.130 1.150 -0.390 2.595
## 3329 2.000 -0.600 -0.005 -0.070 0.790 0.349 2.491
## 3330 2.000 -1.040 0.010 -0.010 1.085 0.208 2.547
## 3331 2.000 -1.020 -0.059 -0.010 0.950 0.175 2.809
## 3332 2.000 -0.750 -0.024 -0.050 0.945 0.291 2.995
## 3333 2.000 -2.690 -0.154 -0.130 1.515 -1.293 9.542
## 3334 1.500 -3.535 -0.188 -0.055 1.540 -2.129 12.592
## 3335 2.000 -0.835 -0.053 -0.070 0.790 0.015 2.348
## 3336 2.000 -0.910 -0.020 0.000 0.990 -0.132 3.921
## 3337 1.500 -0.700 -0.064 -0.060 0.470 -0.372 3.023
## 3338 2.000 -0.785 -0.113 -0.080 0.775 0.171 3.223
## 3339 2.000 -0.730 -0.028 -0.015 0.700 0.089 2.363
## 3340 2.000 -0.965 -0.089 -0.010 0.765 -0.269 2.351
## 3341 2.000 -1.120 -0.117 -0.040 0.660 -0.253 1.667
## 3342 1.500 -1.105 -0.072 -0.080 0.905 0.035 2.862
## 3343 2.000 -1.320 -0.174 -0.170 1.160 -0.036 3.278
## 3344 2.000 -0.755 -0.031 -0.062 0.995 0.625 3.143
## 3345 2.000 -0.920 -0.021 -0.060 1.130 0.414 2.796
## 3346 2.000 -0.935 -0.100 -0.010 1.295 0.393 3.205
## 3347 1.500 -1.140 -0.080 -0.005 1.480 0.641 3.806
## 3348 2.000 -0.830 0.000 -0.025 0.850 0.227 4.050
## 3349 2.000 -1.090 -0.025 -0.060 0.830 0.277 3.553
## 3350 2.000 -1.190 -0.025 0.010 1.000 -0.264 3.148
## 3351 2.000 -0.990 0.016 -0.025 0.920 0.061 4.438
## 3352 2.000 -1.110 -0.041 -0.035 1.060 0.133 3.141
## 3353 2.500 -1.250 0.009 0.000 1.850 0.574 4.675
## 3354 2.000 -1.730 -0.136 -0.255 1.935 0.535 3.656
## 3355 2.000 -2.560 -0.086 -0.235 3.210 0.729 4.143
## 3356 2.000 -1.180 -0.159 -0.230 1.260 0.397 3.192
## 3357 2.000 -2.285 -0.156 0.000 2.375 -0.162 2.722
## 3358 3.000 -2.370 -0.245 -0.010 1.960 -0.250 2.974
## 3359 2.000 -2.230 -0.038 0.025 0.880 -1.265 5.570
## 3360 2.000 -1.645 -0.121 -0.080 1.155 -0.145 2.783
## 3361 2.000 -1.320 -0.027 -0.060 1.660 0.340 3.005
## 3362 2.000 -3.700 -0.153 -0.040 1.390 -1.538 7.501
## 3363 2.000 -2.585 -0.203 -0.165 1.195 -0.782 4.284
## 3364 2.000 -2.920 -0.198 -0.025 1.700 -0.516 4.086
## 3365 1.500 -2.270 -0.133 -0.050 0.770 -1.350 5.697
## 3366 2.000 -2.685 -0.068 0.110 2.215 -0.923 3.636
## 3367 2.000 -4.350 0.096 0.435 2.500 -1.350 4.854
## 3368 14.000 -2.530 -0.012 0.000 2.060 -0.215 2.834
## 3369 4.000 -1.010 0.039 -0.045 1.380 0.467 2.557
## 3370 1.500 -0.940 0.014 -0.060 1.340 0.655 3.624
## 3371 24.000 -1.660 -0.003 0.000 2.670 1.033 6.318
## 3372 10.500 -1.970 0.057 0.000 4.360 1.492 5.455
## 3373 12.000 -2.520 0.010 0.000 4.310 1.238 4.777
## 3374 2.000 -2.165 -0.138 -0.007 2.215 -0.172 3.262
## 3375 2.000 -0.920 0.056 0.070 1.420 0.332 3.306
## 3376 2.000 -1.338 0.014 0.042 1.893 0.792 5.239
## 3377 Inf -2.810 0.059 0.165 0.960 -1.912 8.724
## 3378 2.000 -1.670 0.041 0.140 1.100 -0.754 3.310
## 3379 2.000 -0.850 0.151 0.025 1.760 0.930 3.603
## 3380 2.000 -1.445 0.062 0.010 1.030 -0.381 5.946
## 3381 2.000 -3.520 -0.149 -0.070 1.360 -1.451 6.305
## 3382 1.500 -3.852 -0.245 -0.030 1.847 -1.117 4.694
## 3383 2.000 -5.130 -0.366 -0.020 1.630 -1.592 4.823
## 3384 2.000 -2.300 -0.092 -0.100 1.680 -0.203 2.995
## 3385 2.500 -2.390 -0.008 0.000 1.570 -0.537 3.116
## 3386 2.000 -1.355 -0.072 -0.130 0.755 -0.289 3.340
## 3387 2.000 -2.680 -0.073 -0.040 0.880 -1.310 5.874
## 3388 2.000 -2.460 -0.247 -0.270 0.940 -0.792 4.921
## 3389 Inf -2.070 -0.082 -0.052 1.330 -0.435 4.090
## 3390 2.000 -0.880 -0.020 -0.025 0.850 -0.066 2.846
## 3391 2.000 -1.475 -0.007 0.000 1.235 -0.428 3.155
## 3392 2.000 -1.550 -0.107 -0.080 1.160 -0.140 2.802
## 3393 2.000 -1.510 -0.045 0.000 0.980 -0.259 2.606
## 3394 2.000 -0.710 0.024 0.015 0.830 0.194 2.397
## 3395 2.000 -1.420 -0.082 -0.075 0.820 -0.319 2.557
## 3396 2.000 -0.705 0.056 0.000 1.130 0.235 2.826
## 3397 2.000 -1.200 -0.051 0.030 0.900 -0.363 2.459
## 3398 1.500 -1.050 -0.040 -0.040 0.980 -0.072 2.517
## 3399 4.000 -1.180 -0.075 0.000 0.720 -0.431 2.917
## 3400 1.500 -1.067 -0.092 -0.088 0.642 -0.083 2.932
## 3401 2.000 -2.380 -0.033 0.020 2.950 0.644 7.381
## 3402 1.500 -1.920 -0.039 0.005 3.400 1.080 6.489
## 3403 2.000 -0.890 -0.030 -0.025 0.680 0.027 3.202
## 3404 2.000 -1.440 -0.075 0.000 0.940 -0.388 2.847
## 3405 2.000 -0.990 0.032 0.000 2.020 0.892 4.630
## 3406 2.000 -0.940 -0.012 -0.075 0.960 0.203 2.741
## 3407 Inf -0.950 0.105 0.040 1.410 0.168 2.707
## 3408 2.000 -1.205 -0.110 -0.105 0.765 -0.392 2.775
## 3409 2.000 -1.480 -0.068 -0.100 1.120 -0.040 3.620
## 3410 2.000 -1.740 -0.072 0.000 0.880 -0.801 4.051
## 3411 2.000 -1.750 -0.069 0.015 0.850 -1.048 4.375
## 3412 1.500 -0.895 0.006 -0.030 0.885 -0.166 2.627
## 3413 2.000 -1.360 -0.025 -0.130 1.140 0.040 2.005
## 3414 4.000 -2.395 -0.247 -0.052 2.280 0.050 2.152
## 3415 2.000 -0.860 0.005 -0.050 1.360 1.280 5.855
## 3416 1.500 -0.805 -0.034 -0.020 1.045 0.246 2.689
## 3417 2.000 -0.895 -0.017 -0.013 0.670 -0.265 2.609
## 3418 2.000 -1.550 -0.116 -0.210 1.475 0.294 3.181
## 3419 3.000 -2.110 0.017 -0.137 3.090 0.960 4.029
## 3420 2.000 -1.075 -0.037 -0.065 1.675 0.631 3.425
## 3421 2.000 -1.070 -0.017 -0.035 1.080 0.107 3.849
## 3422 1.500 -1.140 -0.072 -0.075 0.590 -0.590 3.785
## 3423 2.500 -1.560 -0.082 0.000 1.230 -0.312 3.524
## 3424 2.000 -0.755 -0.101 -0.125 0.705 0.295 2.461
## 3425 4.000 -3.040 -0.103 -0.005 1.950 -0.672 3.511
## 3426 2.000 -1.280 -0.049 -0.035 1.250 -0.081 2.903
## 3427 2.000 -1.525 -0.049 0.030 0.755 -1.073 4.865
## 3428 2.000 -1.590 -0.286 -0.160 0.590 -0.837 2.921
## 3429 Inf -1.820 -0.082 -0.075 1.250 -0.497 2.754
## 3430 2.000 -1.805 -0.085 -0.020 0.850 -0.914 5.516
## 3431 2.000 -0.860 0.056 -0.025 1.260 0.355 2.357
## 3432 2.000 -1.630 -0.038 -0.005 0.630 -1.328 6.502
## 3433 1.500 -1.000 -0.067 -0.025 1.040 -0.049 2.684
## 3434 2.000 -0.850 -0.043 -0.045 1.270 0.427 2.899
## 3435 2.000 -1.140 -0.016 -0.075 0.980 -0.081 2.564
## 3436 2.000 -0.620 -0.056 -0.070 0.630 0.060 2.118
## 3437 2.000 -1.260 -0.121 -0.165 1.110 0.464 3.190
## 3438 2.000 -4.815 -1.322 -1.050 1.745 -0.146 1.618
## 3439 2.000 -2.645 -0.652 -0.925 1.675 0.225 1.954
## 3440 2.000 -1.545 -0.146 -0.135 0.905 -0.165 3.450
## 3441 2.000 -2.120 -0.198 -0.070 1.130 -0.665 3.941
## 3442 2.000 -3.680 -0.484 -0.055 1.630 -0.702 2.740
## 3443 2.000 -1.840 -0.085 -0.145 2.580 0.554 4.197
## 3444 2.000 -0.980 -0.060 -0.040 0.740 -0.135 2.570
## 3445 2.000 -2.325 -0.303 -0.235 1.395 -0.347 1.956
## 3446 1.500 -0.920 -0.004 -0.005 0.680 -0.030 2.644
## 3447 2.000 -2.370 -0.113 -0.145 2.050 0.138 3.267
## 3448 3.000 -1.890 -0.049 -0.145 3.010 1.166 5.591
## 3449 2.000 -1.030 -0.069 -0.088 0.900 0.060 2.548
## 3450 2.000 -1.920 -0.146 -0.170 1.900 -0.004 3.252
## 3451 3.000 -2.205 -0.032 -0.065 1.455 -0.358 3.655
## 3452 2.500 -2.590 -0.319 -0.155 1.890 -0.271 2.540
## 3453 3.000 -2.760 -0.270 -0.248 2.450 0.012 3.060
## 3454 2.000 -1.335 -0.108 -0.002 0.695 -0.807 3.763
## 3455 1.500 -2.000 -0.024 0.000 1.400 -0.384 3.069
## 3456 2.000 -1.350 -0.147 -0.105 0.995 -0.461 2.780
## 3457 2.000 -2.090 -0.129 -0.065 1.570 -0.382 3.164
## 3458 2.500 -0.870 0.110 -0.005 2.070 1.256 4.439
## 3459 6.000 -1.670 0.043 0.000 2.090 0.566 3.381
## 3460 Inf -2.030 -0.049 -0.092 1.530 -0.090 2.161
## 3461 2.000 -1.215 0.015 0.017 1.115 0.216 3.123
## 3462 2.000 -0.680 -0.043 0.000 0.790 0.160 2.414
## 3463 4.500 -1.200 0.208 0.000 2.960 1.186 3.393
## 3464 2.000 -2.980 0.002 -0.438 3.360 0.390 2.474
## 3465 2.000 -2.250 -0.095 -0.055 1.100 -0.823 4.000
## 3466 2.000 -2.160 -0.047 -0.055 1.360 -0.419 2.966
## 3467 2.000 -2.560 -0.121 -0.075 1.570 -0.571 2.824
## 3468 2.000 -0.660 0.020 0.000 0.770 0.184 2.504
## 3469 2.000 -0.845 0.000 -0.010 1.340 0.515 3.082
## 3470 2.000 -1.105 0.000 0.010 1.885 0.675 3.732
## 3471 1.500 -1.410 0.003 0.000 2.350 0.679 3.291
## 3472 Inf -1.865 0.200 0.360 2.655 -0.009 2.851
## 3473 2.000 -1.935 0.057 0.010 2.475 0.360 2.751
## 3474 2.000 -1.110 0.035 -0.015 1.860 0.807 4.884
## 3475 2.000 -0.915 0.090 0.070 1.475 0.229 2.252
## 3476 2.000 -1.145 -0.033 -0.040 1.390 -0.036 3.208
## 3477 2.000 -1.920 -0.126 0.000 1.225 -0.315 3.121
## 3478 2.000 -1.140 -0.054 -0.125 0.980 0.082 2.484
## 3479 1.500 -0.970 0.055 0.030 1.080 0.083 2.727
## 3480 2.000 -1.960 0.045 0.075 1.790 -0.163 2.774
## 3481 2.000 -1.700 -0.081 0.030 1.065 -0.426 2.320
## 3482 2.000 -1.670 -0.073 0.000 1.220 -0.298 2.810
## 3483 2.000 -0.640 0.077 0.025 0.910 0.179 2.390
## 3484 2.000 -1.740 0.084 -0.065 2.720 1.047 4.369
## 3485 1.500 -1.170 0.183 0.000 2.460 0.587 2.970
## 3486 2.000 -0.993 -0.180 -0.112 0.838 0.159 2.334
## 3487 1.500 -0.930 -0.071 -0.200 1.070 0.364 2.629
## 3488 2.000 -2.398 -0.243 -0.057 1.042 -0.725 3.172
## 3489 2.000 -0.848 -0.091 -0.060 0.853 0.226 2.461
## 3490 3.000 -1.780 0.533 0.000 4.260 0.704 2.283
## 3491 7.000 -2.120 0.379 0.000 4.200 0.928 3.052
## 3492 2.000 -0.770 0.107 0.005 2.150 1.503 6.431
## 3493 2.000 -2.135 0.029 0.000 1.925 -0.203 3.225
## 3494 2.000 -2.795 -0.161 -0.110 1.965 -0.345 2.491
## 3495 2.000 -1.850 -0.019 0.000 1.810 -0.018 1.929
## 3496 Inf -1.500 -0.175 -0.075 0.980 -0.228 1.885
## 3497 2.000 -1.720 -0.126 0.000 1.420 -0.263 2.208
## 3498 2.000 -1.860 0.080 0.000 2.300 0.246 3.140
## 3499 2.000 -0.700 0.020 -0.010 0.670 0.096 2.125
## 3500 2.500 -1.370 -0.060 -0.030 1.820 0.680 3.848
## 3501 2.000 -2.545 -0.089 0.030 1.495 -0.558 3.379
## 3502 2.000 -3.745 -0.306 0.140 2.595 -0.592 3.210
## 3503 2.000 -1.100 -0.001 0.000 0.860 -0.384 2.501
## 3504 2.000 -1.750 -0.039 0.000 0.990 -0.696 3.696
## 3505 2.000 -1.965 0.077 0.055 1.175 -0.854 4.968
## 3506 2.000 -1.020 0.028 0.070 1.010 -0.290 2.508
## 3507 2.000 -1.780 0.005 0.015 1.180 -0.620 3.793
## 3508 2.000 -1.165 -0.004 0.080 1.095 -0.527 3.003
## 3509 2.000 -1.245 0.025 0.035 1.315 -0.123 2.909
## 3510 2.000 -1.065 0.227 0.145 1.445 0.045 2.559
## 3511 1.500 -1.670 -0.132 -0.060 2.690 0.809 5.151
## 3512 2.000 -1.305 0.123 0.075 0.940 -0.480 2.821
## 3513 1.500 -0.515 0.022 0.075 0.600 -0.086 2.264
## 3514 8.000 -0.690 0.031 0.000 1.550 1.138 6.370
## 3515 Inf -1.435 -0.053 -0.050 1.745 0.425 4.086
## 3516 2.000 -1.940 -0.023 0.000 0.870 -1.944 12.449
## 3517 Inf -1.005 -0.031 0.028 1.785 0.500 3.568
## 3518 2.000 -1.665 0.796 0.000 5.945 1.259 3.543
## 3519 2.000 -1.835 0.225 -0.070 3.455 1.505 5.038
## 3520 2.000 -0.620 -0.039 -0.080 0.700 0.410 3.179
## 3521 2.000 -1.250 -0.011 -0.048 1.210 0.253 3.025
## 3522 2.000 -0.725 0.095 0.030 1.525 0.694 3.357
## 3523 Inf -2.925 0.013 -0.050 2.515 -0.097 2.962
## 3524 2.000 -1.360 0.004 -0.040 2.405 0.591 3.234
## 3525 12.000 -5.125 -0.723 0.000 3.205 -0.293 2.158
## 3526 2.000 -0.860 0.040 0.000 1.180 0.054 2.655
## 3527 2.000 -0.975 0.089 0.000 1.400 0.365 2.107
## 3528 2.000 -1.365 0.014 -0.080 1.425 0.251 2.814
## 3529 2.000 -1.540 -0.035 -0.065 1.460 0.248 3.138
## 3530 2.000 -1.668 0.002 -0.078 1.482 0.130 3.118
## 3531 2.000 -1.360 -0.035 -0.005 1.410 0.045 2.635
## 3532 2.000 -2.280 -0.101 0.000 1.650 -0.294 3.614
## 3533 2.000 -3.365 -0.102 0.000 2.165 -0.612 3.889
## 3534 Inf -3.540 -0.144 -0.055 2.060 -0.726 4.101
## 3535 3.000 -3.265 -0.032 -0.040 2.225 -0.495 3.523
## 3536 2.000 -1.945 -0.074 -0.095 1.725 -0.203 3.110
## 3537 2.000 -3.340 -0.026 -0.040 2.100 -0.607 3.963
## 3538 2.000 -1.353 -0.002 -0.082 1.117 0.064 3.294
## 3539 2.000 -1.820 -0.144 -0.155 1.390 -0.140 2.018
## 3540 2.000 -0.950 0.029 0.005 1.630 0.430 3.672
## 3541 2.000 -1.320 0.029 0.000 1.430 -0.110 4.141
## 3542 2.000 -0.665 -0.034 0.010 0.830 0.199 3.104
## 3543 2.000 -6.940 -0.699 -0.247 2.300 -1.424 5.055
## 3544 2.000 -1.810 -0.029 0.000 1.240 -0.669 4.944
## 3545 1.500 -1.610 -0.216 -0.150 0.940 -0.523 3.662
## 3546 2.000 -5.280 -0.342 -0.085 1.980 -1.773 6.903
## 3547 2.000 -1.400 -0.096 -0.030 0.760 -0.563 4.240
## 3548 1.500 -1.350 -0.052 -0.015 0.800 -0.484 4.199
## 3549 2.000 -1.990 -0.083 0.015 0.820 -1.610 7.312
## 3550 2.000 -3.110 -0.128 -0.060 0.860 -2.198 11.357
## 3551 2.000 -1.785 -0.082 -0.025 1.315 -0.493 4.622
## 3552 2.000 -1.205 -0.124 -0.015 0.775 -0.474 2.943
## 3553 2.000 -2.960 -0.288 -0.070 1.300 -1.099 4.120
## 3554 2.000 -2.390 -0.149 -0.018 1.870 -0.721 4.164
## 3555 2.000 -2.265 -0.039 0.013 1.225 -0.691 3.783
## 3556 2.000 -2.200 -0.122 -0.060 1.080 -0.876 6.035
## 3557 2.000 -2.625 -0.065 -0.065 1.055 -1.130 5.486
## 3558 Inf -2.988 -0.121 0.082 1.333 -1.108 4.384
## 3559 5.000 -1.250 0.026 0.000 1.840 0.180 3.143
## 3560 2.000 -4.580 -0.376 0.090 2.450 -1.275 4.089
## 3561 2.000 -1.900 -0.019 -0.030 1.765 -0.014 3.440
## 3562 2.000 -1.493 0.218 0.242 1.398 -0.140 2.852
## 3563 2.000 -3.410 0.034 0.090 1.670 -1.701 7.511
## 3564 2.000 -1.650 -0.119 -0.040 1.020 -0.716 4.061
## 3565 2.000 -0.940 0.070 0.035 1.210 0.443 3.584
## 3566 2.000 -1.383 0.022 0.025 0.863 -0.583 3.649
## 3567 2.000 -1.285 0.043 0.070 1.480 0.077 4.728
## 3568 2.000 -0.780 0.101 0.060 1.405 0.858 4.792
## 3569 2.000 -1.740 -0.084 -0.015 1.500 -0.027 2.688
## 3570 2.000 -1.985 -0.168 -0.045 1.485 -0.291 3.049
## 3571 2.000 -0.630 -0.006 -0.073 1.030 0.655 3.017
## 3572 2.000 -1.520 -0.166 -0.220 1.840 0.384 3.506
## 3573 2.000 -1.400 -0.147 -0.110 1.780 0.262 3.310
## 3574 2.000 -0.870 -0.023 -0.042 0.780 0.144 3.178
## 3575 2.000 -0.855 -0.080 -0.060 1.245 0.552 3.288
## 3576 1.500 -1.320 -0.095 -0.070 0.820 -0.418 2.927
## 3577 1.500 -1.215 -0.033 -0.025 1.335 0.014 3.623
## 3578 2.000 -2.455 -0.073 -0.070 3.035 0.551 3.789
## 3579 2.000 -0.830 -0.018 -0.010 0.810 0.310 2.947
## 3580 2.000 -0.760 -0.046 -0.035 0.900 0.267 2.242
## 3581 2.000 -0.935 -0.028 -0.035 0.800 0.065 2.273
## 3582 2.000 -0.955 0.070 0.025 1.395 0.322 2.489
## 3583 2.000 -1.170 -0.008 0.010 1.210 -0.096 3.584
## 3584 2.000 -1.495 -0.089 -0.055 0.965 -0.496 4.336
## 3585 2.000 -1.100 -0.006 0.005 1.020 -0.163 3.351
## 3586 2.000 -0.830 -0.002 0.005 0.800 0.016 2.479
## 3587 2.000 -1.290 -0.034 0.000 0.710 -0.662 3.993
## 3588 2.000 -1.250 -0.009 -0.015 1.130 -0.157 3.236
## 3589 1.500 -1.190 -0.090 -0.065 1.040 0.125 3.222
## 3590 2.000 -1.115 0.041 0.000 1.115 -0.145 2.329
## 3591 2.000 -0.860 0.027 -0.010 0.970 0.117 2.450
## 3592 1.500 -0.770 -0.005 -0.015 1.320 0.807 3.763
## 3593 2.000 -0.865 -0.006 0.013 1.145 0.230 3.499
## 3594 2.000 -1.180 0.053 0.060 1.060 -0.481 3.125
## 3595 2.000 -1.060 0.044 -0.040 1.470 0.437 2.572
## 3596 2.000 -1.085 -0.066 -0.070 1.365 0.235 2.656
## 3597 2.000 -1.110 0.063 -0.013 1.265 0.225 2.741
## 3598 2.000 -0.870 -0.058 0.007 0.475 -0.842 3.062
## 3599 6.000 -1.950 -0.117 0.000 0.800 -1.397 4.967
## 3600 3.000 -1.600 0.018 0.030 1.040 -0.627 3.311
## 3601 2.000 -0.985 0.021 0.015 0.905 -0.363 3.194
## 3602 2.000 -1.090 -0.022 0.005 0.710 -0.434 3.001
## 3603 2.000 -0.940 -0.043 0.000 1.000 -0.003 2.608
## 3604 3.000 -0.710 -0.053 -0.005 0.810 0.225 2.629
## 3605 2.000 -1.510 -0.106 -0.100 0.725 -0.551 3.606
## 3606 2.000 -1.190 -0.099 -0.007 0.805 -0.260 2.491
## 3607 2.000 -1.020 -0.018 -0.050 0.935 -0.172 2.142
## 3608 2.000 -1.350 -0.031 -0.015 1.140 -0.070 2.952
## 3609 2.000 -1.500 -0.047 -0.022 0.830 -0.808 3.925
## 3610 1.500 -1.255 -0.011 0.005 0.905 -0.264 4.002
## 3611 1.500 -0.880 -0.001 -0.020 0.990 0.379 3.228
## 3612 2.000 -0.810 0.077 0.020 0.900 0.293 2.500
## 3613 1.500 -0.800 -0.053 -0.005 1.240 0.627 4.451
## 3614 1.500 -0.880 -0.049 -0.020 1.130 0.285 3.075
## 3615 2.000 -0.932 -0.015 -0.002 0.827 -0.237 2.824
## 3616 2.000 -0.800 0.048 -0.005 0.990 0.316 2.386
## 3617 2.000 -0.775 -0.024 -0.025 0.935 0.084 2.205
## 3618 2.000 -0.990 -0.020 0.015 0.650 -0.496 2.552
## 3619 2.000 -0.740 -0.067 -0.075 0.620 0.054 2.588
## 3620 2.000 -0.840 0.036 -0.035 1.180 0.537 4.112
## 3621 2.000 -1.400 -0.034 -0.010 0.880 -0.259 2.903
## 3622 2.000 -1.030 0.003 -0.010 0.960 0.151 2.468
## 3623 2.000 -1.610 -0.102 0.005 0.850 -0.904 3.423
## 3624 2.000 -0.885 -0.065 -0.038 0.575 -0.393 2.902
## 3625 2.000 -1.030 -0.029 0.000 0.860 -0.455 3.335
## 3626 2.000 -1.235 -0.179 -0.200 0.660 -0.372 3.196
## 3627 1.500 -0.730 -0.052 -0.040 0.640 0.131 2.423
## 3628 2.000 -0.580 0.096 -0.010 1.210 0.722 2.996
## 3629 2.000 -0.905 -0.048 -0.095 0.885 0.170 1.928
## 3630 2.000 -0.820 -0.109 -0.075 0.940 0.180 2.869
## 3631 1.500 -0.620 -0.044 -0.065 0.810 0.256 1.995
## 3632 2.000 -0.850 -0.021 -0.035 0.820 0.086 2.550
## 3633 2.000 -0.680 0.029 0.000 0.940 0.270 2.456
## 3634 2.000 -1.400 -0.113 0.000 0.890 -0.313 2.488
## 3635 2.000 -0.800 0.046 0.025 1.500 0.559 3.611
## 3636 1.500 -1.320 -0.095 -0.010 0.600 -0.957 5.762
## 3637 2.000 -1.300 -0.118 -0.175 1.590 0.887 6.841
## 3638 2.000 -0.835 -0.048 -0.010 1.265 0.511 3.673
## 3639 2.000 -0.680 -0.102 -0.135 0.700 0.341 2.457
## 3640 2.000 -0.930 -0.113 -0.120 1.280 0.719 3.558
## 3641 2.000 -0.925 -0.083 -0.105 0.985 0.274 2.839
## 3642 2.000 -1.100 -0.072 -0.005 1.120 0.192 2.721
## 3643 2.000 -0.850 0.008 -0.015 1.490 0.843 3.756
## 3644 2.000 -1.420 -0.079 -0.130 1.250 0.050 2.861
## 3645 2.000 -1.075 -0.045 -0.105 1.285 0.372 3.724
## 3646 2.000 -1.680 -0.203 -0.140 0.800 -0.282 2.696
## 3647 Inf -1.363 -0.162 -0.018 1.257 -0.135 3.277
## 3648 1.333 -2.240 -0.182 -0.040 0.770 -1.142 4.224
## 3649 1.500 -1.105 -0.099 -0.095 0.865 0.053 2.595
## 3650 2.000 -1.910 -0.253 -0.100 1.080 -0.617 3.138
## 3651 1.500 -1.480 -0.067 -0.115 1.990 0.358 4.774
## 3652 2.000 -1.450 0.006 0.075 1.330 -0.217 2.677
## 3653 2.000 -0.900 0.024 0.030 0.630 -0.473 2.637
## 3654 Inf -1.340 0.022 0.035 1.190 -0.052 2.517
## 3655 2.000 -0.765 0.080 0.000 0.875 -0.047 2.573
## 3656 2.000 -1.143 0.016 0.022 1.558 0.237 3.167
## 3657 2.000 -0.890 0.016 -0.005 1.080 0.156 2.624
## 3658 2.000 -1.460 -0.032 -0.005 1.780 0.253 3.333
## 3659 2.000 -1.690 -0.041 -0.035 1.720 0.128 2.887
## 3660 1.500 -2.310 -0.166 -0.120 1.110 -0.543 4.289
## 3661 2.000 -1.565 -0.091 -0.007 1.305 0.028 2.343
## 3662 2.000 -1.800 0.055 -0.010 1.320 -0.451 3.417
## 3663 2.000 -2.230 -0.050 0.000 1.310 -0.901 4.637
## 3664 2.000 -1.125 0.033 0.065 1.105 0.060 2.996
## 3665 2.000 -1.580 0.168 0.135 1.560 -0.184 3.200
## 3666 4.500 -0.745 0.118 0.000 1.155 0.343 2.653
## 3667 2.000 -1.555 -0.020 -0.055 1.175 -0.355 3.547
## 3668 2.000 -0.930 -0.011 -0.055 1.270 0.739 3.754
## 3669 2.000 -2.275 -0.024 0.000 1.285 -0.965 5.417
## 3670 2.000 -1.100 0.084 0.105 0.975 -0.334 2.696
## 3671 2.000 -1.035 0.059 0.090 0.895 -0.394 2.644
## 3672 2.000 -0.705 -0.018 -0.008 0.845 0.449 3.235
## 3673 2.000 -0.590 0.031 0.042 0.600 -0.021 1.937
## 3674 2.000 -0.880 -0.018 0.000 1.100 -0.005 2.676
## 3675 2.000 -0.975 -0.182 -0.165 0.795 0.051 2.867
## 3676 2.000 -1.240 -0.023 0.020 0.770 -0.731 3.326
## 3677 2.500 -2.635 -0.254 0.000 1.705 -0.455 3.045
## 3678 1.500 -0.790 -0.029 0.000 0.700 -0.016 2.623
## 3679 2.500 -1.860 -0.062 0.000 1.630 -0.135 2.469
## 3680 2.000 -3.880 -0.260 -0.060 2.080 -0.746 3.717
## 3681 2.000 -3.480 -0.346 -0.030 1.760 -0.534 2.955
## 3682 2.000 -0.440 0.093 0.065 0.540 -0.044 1.972
## 3683 2.000 -0.870 0.050 0.005 1.080 0.493 3.951
## 3684 2.000 -0.905 0.051 0.020 1.245 0.483 3.682
## 3685 2.000 -0.840 0.080 0.125 1.130 -0.025 2.636
## 3686 2.000 -1.065 -0.056 -0.112 0.775 -0.104 2.136
## 3687 2.000 -0.925 -0.017 -0.025 0.705 -0.166 2.322
## 3688 2.000 -0.835 -0.069 -0.045 1.335 0.615 3.668
## 3689 2.000 -1.030 -0.045 -0.040 1.130 0.130 2.546
## 3690 1.500 -1.160 -0.078 0.025 1.030 -0.449 2.597
## 3691 1.500 -4.480 -0.256 0.020 1.500 -1.513 4.863
## 3692 2.000 -4.810 -0.346 -0.055 1.645 -1.592 5.579
## 3693 2.500 -1.005 0.047 0.000 1.130 0.207 2.701
## 3694 2.000 -1.285 0.088 -0.005 1.495 0.144 2.222
## 3695 2.000 -0.800 -0.001 -0.070 1.440 0.722 3.081
## 3696 2.000 -1.590 -0.029 0.015 1.670 -0.258 2.499
## 3697 1.500 -0.870 0.062 0.015 1.140 0.248 2.168
## 3698 2.000 -0.980 0.044 0.215 0.715 -0.466 2.177
## 3699 2.000 -1.085 0.000 0.010 1.045 0.148 3.428
## 3700 2.000 -0.945 0.067 0.070 0.850 -0.001 2.099
## 3701 2.000 -1.455 0.066 0.060 1.245 -0.702 4.068
## 3702 2.000 -1.225 0.045 0.040 1.125 -0.186 2.329
## 3703 2.000 -0.690 0.067 -0.005 1.480 0.740 3.745
## 3704 3.000 -0.900 0.012 0.000 1.310 0.760 3.986
## 3705 2.000 -1.560 0.100 0.092 1.770 0.064 2.462
## 3706 2.000 -1.735 0.550 -0.090 5.075 1.058 3.053
## 3707 2.000 -1.560 0.066 0.000 1.250 -0.099 3.019
## 3708 2.667 -0.570 0.035 0.000 0.600 0.027 2.337
## 3709 2.000 -0.725 0.021 0.050 0.875 0.087 2.336
## 3710 2.000 -0.775 -0.022 -0.025 0.755 0.257 2.854
## 3711 2.000 -1.380 0.180 0.055 2.000 0.208 2.207
## 3712 2.000 -1.205 0.123 0.002 1.495 0.127 2.475
## 3713 2.000 -0.500 0.026 0.005 0.500 -0.096 2.668
## 3714 2.000 -1.060 0.059 0.055 1.450 0.273 2.552
## 3715 2.000 -0.935 0.156 0.087 1.365 0.212 2.270
## 3716 2.000 -0.650 0.032 0.020 0.710 -0.003 2.035
## 3717 2.000 -2.920 -0.080 -0.005 1.160 -1.493 7.190
## 3718 2.000 -1.250 0.122 -0.070 2.750 0.886 3.031
## 3719 2.000 -1.032 -0.073 -0.052 1.028 0.046 3.194
## 3720 2.000 -1.665 -0.112 -0.050 0.555 -1.304 6.370
## 3721 3.500 -1.950 -0.038 0.000 1.060 -0.700 3.958
## 3722 2.000 -1.180 -0.048 -0.210 1.120 0.336 2.641
## 3723 2.500 -1.300 -0.064 -0.020 0.700 -0.660 4.257
## 3724 4.000 -1.750 0.118 0.000 3.510 0.901 3.758
## 3725 6.000 -0.970 0.020 0.000 3.790 3.132 17.202
## 3726 4.000 -1.230 0.051 0.000 3.140 1.967 9.724
## 3727 2.000 -1.980 -0.177 -0.115 2.160 0.394 4.747
## 3728 2.000 -1.610 -0.027 0.005 1.690 -0.257 3.205
## 3729 4.500 -1.310 -0.129 0.000 1.370 -0.024 3.414
## 3730 4.000 -1.190 -0.064 0.000 0.670 -0.762 4.275
## 3731 2.500 -1.380 0.228 0.030 3.055 1.139 4.206
## 3732 4.000 -1.590 0.054 0.000 3.740 1.920 8.788
## 3733 2.500 -2.420 -0.181 0.000 1.410 -0.611 2.977
## 3734 1.667 -2.160 -0.019 0.030 1.030 -1.074 5.545
## 3735 2.000 -1.280 0.076 -0.075 5.790 3.248 17.111
## 3736 2.000 -1.140 0.028 -0.050 2.140 0.613 3.981
## 3737 2.000 -1.035 -0.051 0.018 0.685 -0.710 3.185
## 3738 2.000 -1.420 0.076 0.085 1.310 -0.275 4.717
## 3739 2.000 -1.240 0.084 0.000 1.510 0.144 3.583
## 3740 2.000 -1.725 -0.072 0.000 1.170 -0.563 2.951
## 3741 2.000 -1.555 -0.068 -0.020 0.960 -0.502 3.042
## 3742 2.000 -1.280 -0.083 -0.105 2.160 0.737 4.664
## 3743 1.500 -1.290 -0.041 0.000 1.180 -0.214 2.833
## 3744 2.000 -1.160 0.026 0.000 1.110 -0.130 3.226
## 3745 1.500 -0.850 -0.017 0.000 0.940 0.150 2.278
## 3746 1.500 -1.030 -0.096 0.000 0.680 -0.376 2.498
## 3747 8.000 -1.870 0.072 0.000 2.980 0.893 4.315
## 3748 1.500 -1.080 0.062 0.000 1.110 0.016 2.864
## 3749 4.000 -1.790 0.162 0.000 4.320 2.044 8.898
## 3750 2.000 -0.950 0.026 -0.050 1.020 0.250 2.474
## 3751 2.000 -1.280 -0.024 0.005 1.220 -0.130 2.776
## 3752 Inf -0.750 -0.007 -0.025 1.390 0.780 4.051
## 3753 2.000 -0.835 -0.006 -0.005 1.035 0.215 2.646
## 3754 2.000 -1.860 -0.127 0.000 1.270 -0.747 3.815
## 3755 1.500 -2.700 -0.131 0.000 1.360 -1.338 6.054
## 3756 2.000 -2.390 -0.175 -0.020 1.320 -0.744 4.049
## 3757 2.000 -1.880 -0.081 -0.035 1.380 -0.308 5.524
## 3758 1.500 -3.355 -0.167 0.000 1.780 -0.580 3.953
## 3759 2.000 -1.180 0.014 -0.035 0.960 0.031 3.345
## 3760 2.000 -1.200 -0.046 0.000 0.720 -0.712 4.661
## 3761 2.000 -1.020 0.082 -0.025 1.250 0.260 2.970
## 3762 2.000 -1.230 -0.159 -0.105 1.140 0.051 2.679
## 3763 1.500 -0.960 -0.034 -0.075 0.920 0.117 1.995
## 3764 2.000 -0.840 -0.034 -0.030 0.695 -0.072 2.756
## 3765 2.500 -0.810 0.027 0.000 0.770 -0.302 3.018
## 3766 2.000 -1.080 0.044 -0.005 2.310 0.790 4.468
## 3767 1.500 -1.180 -0.004 0.030 0.980 -0.380 3.684
## 3768 2.000 -1.525 -0.009 -0.005 2.080 0.426 2.233
## 3769 2.000 -1.915 -0.019 -0.025 2.125 0.294 2.311
## 3770 2.000 -1.370 -0.029 -0.020 1.090 -0.533 4.215
## 3771 2.000 -1.025 0.040 0.025 0.920 -0.248 2.156
## 3772 1.500 -1.310 0.016 0.040 1.010 -0.435 2.665
## 3773 2.000 -3.290 -0.137 -0.005 1.295 -1.629 7.972
## 3774 2.000 -0.845 0.001 0.002 0.975 -0.066 3.045
## 3775 2.000 -1.480 -0.033 -0.015 2.230 0.797 5.267
## 3776 2.000 -1.915 0.006 0.085 0.855 -1.012 4.611
## 3777 2.000 -1.140 0.029 -0.020 1.470 0.525 3.133
## 3778 1.500 -0.677 0.042 0.015 0.743 0.057 2.945
## 3779 2.000 -1.030 0.045 0.060 1.010 -0.099 2.317
## 3780 2.000 -0.800 0.010 0.000 0.830 -0.011 2.491
## 3781 2.000 -1.660 0.106 -0.005 2.950 0.854 3.958
## 3782 2.000 -2.770 -0.205 -0.130 1.400 -0.909 4.649
## 3783 2.000 -1.240 -0.020 -0.010 1.065 0.008 3.812
## 3784 2.000 -0.910 -0.030 0.000 0.680 -0.307 2.769
## 3785 2.000 -3.860 -0.124 -0.030 3.075 -0.734 4.982
## 3786 2.000 -3.130 -0.157 -0.035 2.555 -0.299 4.711
## 3787 2.000 -2.095 -0.118 0.000 1.405 -0.161 3.147
## 3788 1.500 -1.540 -0.023 -0.005 1.170 -0.162 3.362
## 3789 2.000 -0.895 0.024 0.002 1.445 0.436 3.330
## 3790 3.000 -2.440 -0.035 0.000 0.520 -3.624 19.976
## 3791 2.000 -1.305 0.031 -0.005 1.470 -0.010 4.262
## 3792 Inf -1.510 0.002 0.025 1.520 -0.151 2.701
## 3793 2.000 -1.795 -0.076 -0.010 1.505 -0.240 3.283
## 3794 2.000 -0.910 0.029 0.010 0.850 -0.023 2.861
## 3795 2.000 -1.335 -0.056 -0.085 1.455 0.489 3.951
## 3796 1.500 -0.905 0.015 0.020 0.750 -0.374 2.679
## 3797 2.500 -1.145 0.121 0.055 1.365 0.085 3.033
## 3798 2.000 -1.565 0.077 0.180 1.355 -0.443 2.573
## 3799 2.000 -1.360 -0.024 -0.055 2.305 0.881 5.380
## 3800 1.500 -1.440 -0.011 -0.015 1.935 0.520 3.906
## 3801 2.000 -0.885 0.055 0.045 1.660 0.582 3.621
## 3802 2.000 -0.940 0.081 0.085 1.360 0.371 2.993
## 3803 2.000 -0.757 0.042 0.045 1.442 0.594 3.091
## 3804 2.000 -1.160 0.011 0.050 1.490 0.178 2.943
## 3805 2.000 -1.005 0.071 0.085 1.640 0.645 3.069
## 3806 Inf -1.270 -0.008 0.028 1.075 -0.135 2.403
## 3807 2.000 -1.528 0.011 0.117 1.097 -0.379 2.414
## 3808 2.000 -1.585 -0.050 0.070 1.060 -0.441 2.230
## 3809 2.000 -0.900 0.053 0.020 1.090 0.188 2.110
## 3810 2.000 -1.170 0.061 0.120 1.350 -0.276 2.598
## 3811 2.000 -1.290 0.066 0.035 1.270 -0.311 2.698
## 3812 2.000 -1.035 0.060 0.010 1.105 -0.254 2.522
## 3813 2.000 -1.087 0.015 0.062 1.072 -0.220 2.060
## 3814 2.000 -1.260 -0.002 0.005 1.190 -0.262 2.273
## 3815 2.000 -1.105 0.077 0.145 1.115 -0.289 2.138
## 3816 1.500 -1.045 0.040 0.070 0.785 -0.367 2.331
## 3817 1.500 -0.970 0.073 0.025 1.120 0.213 3.050
## 3818 2.000 -1.240 -0.021 0.065 1.140 -0.244 2.291
## 3819 2.000 -2.140 0.081 0.045 1.670 -0.526 5.037
## 3820 2.000 -1.220 0.051 0.058 1.690 0.267 3.263
## 3821 2.000 -1.060 0.076 0.025 1.830 0.547 3.905
## 3822 2.000 -0.925 0.024 0.010 1.495 0.466 3.520
## 3823 2.000 -1.060 0.042 0.015 1.050 -0.222 3.112
## 3824 2.000 -1.480 0.039 0.010 0.970 -0.516 3.551
## 3825 2.000 -0.570 0.102 0.065 1.200 0.757 3.230
## 3826 2.000 -3.395 -0.316 0.115 1.275 -0.982 2.886
## 3827 2.000 -4.240 -0.410 0.130 1.330 -1.208 3.210
## 3828 Inf -3.890 -0.497 0.095 1.210 -0.942 2.493
## 3829 2.000 -3.580 -0.340 0.175 1.270 -0.921 2.586
## 3830 2.000 -0.835 0.024 0.032 1.295 0.337 3.138
## 3831 2.000 -1.980 -0.011 0.025 1.260 -0.960 5.532
## 3832 2.000 -0.885 -0.020 -0.060 0.825 0.154 2.081
## 3833 2.000 -1.370 -0.130 0.000 0.960 -0.399 2.907
## 3834 2.000 -0.745 0.015 0.000 0.875 -0.011 3.266
## 3835 2.500 -0.915 -0.052 -0.045 0.780 0.173 3.452
## 3836 2.000 -1.680 0.092 -0.015 3.225 1.074 5.761
## 3837 8.000 -1.970 0.011 0.000 1.990 0.399 3.147
## 3838 2.000 -1.520 -0.002 0.015 1.770 0.008 3.018
## 3839 1.500 -0.590 0.079 0.000 1.350 0.574 3.292
## 3840 2.000 -1.390 0.146 0.210 1.710 -0.146 2.367
## 3841 2.000 -1.710 0.218 0.200 1.960 -0.025 3.228
## 3842 2.000 -1.130 0.202 0.145 1.490 0.189 2.770
## 3843 2.000 -2.170 -0.048 0.000 1.570 -0.353 2.788
## 3844 2.000 -1.000 0.100 0.005 1.880 0.691 3.019
## 3845 2.000 -0.785 0.125 0.155 1.295 0.194 3.556
## 3846 2.000 -0.810 -0.007 -0.015 0.750 0.017 2.484
## 3847 2.000 -1.265 -0.049 -0.020 1.145 -0.206 3.285
## 3848 2.000 -1.645 0.055 0.170 1.600 -0.233 2.616
## 3849 2.000 -1.090 0.055 0.020 1.820 0.908 3.957
## 3850 2.000 -0.800 0.176 0.045 1.790 1.195 4.596
## 3851 1.500 -1.630 0.274 0.130 2.530 0.737 3.799
## 3852 2.000 -0.700 0.126 -0.015 2.230 1.492 5.200
## 3853 2.000 -0.900 0.072 0.000 1.500 1.005 4.646
## 3854 2.000 -1.890 0.121 0.145 1.400 -0.942 6.573
## 3855 2.000 -1.020 -0.077 0.010 0.650 -0.383 2.254
## 3856 2.000 -0.930 0.132 0.040 1.660 0.598 3.352
## 3857 2.000 -1.290 0.132 0.135 1.315 -0.439 3.474
## 3858 3.000 -3.865 -0.025 0.125 2.655 -0.733 3.225
## 3859 2.000 -1.430 0.075 0.060 1.280 -0.168 3.711
## 3860 2.000 -1.075 0.141 0.165 1.225 0.169 2.790
## 3861 Inf -3.700 -0.066 0.050 1.170 -1.745 7.264
## 3862 1.500 -3.740 -0.049 0.000 1.220 -1.684 7.323
## 3863 2.000 -3.550 -0.334 0.015 1.250 -1.330 3.866
## 3864 2.000 -5.250 -0.354 -0.010 1.470 -1.796 5.684
## 3865 Inf -4.295 -0.153 0.010 1.605 -1.856 7.757
## 3866 2.000 -0.985 -0.016 0.005 0.985 -0.109 2.965
## 3867 1.500 -1.630 -0.017 0.005 0.610 -1.692 9.050
## 3868 2.000 -3.600 -0.176 -0.065 4.300 0.245 3.425
## 3869 2.000 -1.020 0.213 0.065 1.770 0.192 1.933
## 3870 Inf -2.040 0.172 0.075 2.125 -0.083 3.571
## 3871 2.000 -1.170 0.148 0.135 1.460 -0.053 2.576
## 3872 1.500 -1.000 0.061 0.060 0.830 -0.111 2.266
## 3873 2.000 -1.290 0.104 0.155 1.140 -0.156 2.475
## 3874 2.000 -1.680 0.169 0.170 1.420 -0.343 3.902
## 3875 2.000 -1.230 0.170 0.040 2.430 0.515 2.818
## 3876 2.000 -1.450 0.038 0.010 2.020 0.497 4.248
## 3877 2.000 -3.275 0.177 0.170 1.785 -1.389 8.218
## 3878 2.000 -1.005 0.219 0.085 1.495 0.536 2.957
## 3879 2.000 -0.865 0.131 0.020 1.395 0.492 2.700
## 3880 2.000 -0.720 0.094 0.025 1.110 0.288 2.875
## 3881 2.000 -1.830 0.108 0.098 2.220 0.155 2.439
## 3882 2.000 -3.695 0.221 0.040 2.415 -1.065 6.887
## 3883 2.000 -1.300 0.111 0.135 1.650 0.306 2.654
## 3884 1.500 -1.430 -0.136 0.000 0.960 -0.319 2.456
## 3885 2.000 -1.880 -0.034 0.035 1.170 -0.393 2.490
## 3886 2.000 -2.370 -0.071 0.007 1.970 -0.445 3.702
## 3887 2.000 -1.520 0.132 0.000 1.700 0.133 2.878
## 3888 1.500 -0.945 0.100 0.010 1.240 0.408 4.589
## 3889 2.000 -0.910 0.129 0.035 1.500 0.331 2.452
## 3890 Inf -1.210 0.565 0.370 3.970 0.807 2.747
## 3891 Inf -2.305 -0.026 -0.030 1.275 -0.565 4.397
## 3892 2.000 -3.525 -0.118 0.035 1.885 -0.774 3.069
## 3893 2.000 -0.695 0.045 -0.003 0.995 0.266 3.742
## 3894 5.500 -3.175 0.418 0.000 4.460 0.194 2.390
## 3895 2.000 -1.500 0.578 0.020 3.350 0.697 2.562
## 3896 2.000 -2.830 0.344 0.302 2.720 -0.124 2.111
## 3897 2.000 -1.042 0.091 0.000 1.462 0.530 2.933
## 3898 2.000 -1.530 0.097 0.022 1.570 -0.063 3.395
## 3899 2.000 -1.775 0.227 0.100 1.910 0.236 3.060
## 3900 2.000 -1.000 0.135 0.000 1.770 0.787 3.575
## 3901 2.000 -1.600 0.114 0.050 1.920 0.071 3.062
## 3902 2.000 -1.145 0.164 0.132 1.710 0.301 2.427
## 3903 2.000 -0.770 0.146 0.150 1.600 0.270 2.974
## 3904 2.000 -1.215 0.150 0.075 1.900 0.507 2.519
## 3905 2.000 -0.940 0.143 0.030 1.770 0.846 4.208
## 3906 2.000 -1.090 0.023 0.030 1.120 -0.113 2.325
## 3907 2.000 -0.590 0.116 0.055 1.070 0.458 2.490
## 3908 2.000 -0.735 -0.022 0.060 0.835 0.147 2.106
## 3909 2.000 -0.560 0.189 0.100 1.290 0.608 2.701
## 3910 2.000 -0.745 0.137 0.115 1.245 0.358 2.565
## 3911 1.500 -0.810 0.125 0.090 1.180 0.548 2.882
## 3912 1.500 -0.770 0.052 0.040 0.830 -0.527 3.962
## 3913 1.500 -0.690 0.152 0.060 1.230 0.299 2.490
## 3914 2.000 -0.975 0.106 0.105 1.505 0.160 2.829
## 3915 2.000 -0.875 0.228 0.170 1.135 -0.045 2.185
## 3916 2.000 -1.340 0.130 0.145 1.290 -0.338 2.829
## 3917 Inf -2.470 -0.094 -0.035 2.050 -0.234 3.124
## 3918 1.500 -2.050 0.093 0.000 2.060 0.014 3.193
## 3919 2.000 -3.020 -0.187 0.190 1.220 -1.000 3.016
## 3920 1.500 -4.670 -0.042 0.125 1.140 -3.028 12.680
## 3921 2.000 -0.835 0.175 0.105 1.475 0.204 2.286
## 3922 1.500 -2.030 0.155 0.275 1.990 -0.395 3.314
## 3923 2.000 -1.630 0.103 0.085 1.470 -0.438 3.463
## 3924 Inf -2.423 -0.019 0.247 1.727 -0.552 2.219
## 3925 1.500 -2.040 -0.007 0.110 2.150 -0.152 3.083
## 3926 2.000 -0.943 0.150 0.112 1.787 0.436 2.730
## 3927 4.000 -1.690 0.317 0.030 3.450 0.673 3.487
## 3928 2.000 -2.300 0.191 0.180 3.010 0.200 3.183
## 3929 2.000 -0.965 0.112 0.090 1.475 0.686 4.227
## 3930 1.500 -0.630 0.085 0.070 1.060 0.255 2.863
## 3931 2.000 -1.220 0.152 0.122 1.330 -0.125 2.392
## 3932 2.000 -1.175 0.092 0.255 1.605 -0.158 2.329
## 3933 2.000 -2.430 0.030 0.140 1.240 -1.102 4.533
## 3934 1.500 -1.055 0.169 0.095 1.535 0.056 2.646
## 3935 2.000 -0.900 0.167 0.095 1.120 0.190 2.572
## 3936 2.000 -3.285 0.634 0.835 4.515 -0.123 2.126
## 3937 2.000 -0.540 0.241 0.172 1.110 0.009 2.135
## 3938 3.000 -1.990 0.295 0.000 2.540 0.510 3.811
## 3939 2.000 -1.240 0.258 0.120 2.530 1.006 3.880
## 3940 2.000 -1.350 0.379 0.175 2.410 0.440 2.565
## 3941 1.500 -1.140 0.173 0.000 2.510 0.655 3.432
## 3942 2.000 -0.880 0.078 0.065 2.380 1.177 6.130
## 3943 2.000 -1.120 0.077 0.040 2.590 1.218 7.001
## 3944 Inf -0.770 0.201 0.155 2.510 1.034 4.452
## 3945 2.000 -0.700 0.168 0.030 2.150 1.005 4.331
## 3946 3.000 -0.740 0.235 0.000 2.300 1.538 6.036
## 3947 1.500 -2.420 0.263 0.260 1.940 -0.296 3.128
## 3948 Inf -3.700 0.174 0.385 2.010 -0.963 4.095
## 3949 2.000 -3.010 0.296 0.445 2.050 -0.621 2.815
## 3950 1.500 -1.015 0.077 0.153 0.785 -0.615 3.099
## 3951 2.000 -0.910 0.291 0.170 2.190 0.605 2.738
## 3952 2.000 -4.435 0.184 0.275 2.600 -1.544 8.113
## 3953 2.000 -1.445 0.357 0.190 3.565 0.861 4.525
## 3954 2.000 -0.930 0.135 0.148 1.160 -0.254 2.197
## 3955 1.500 -0.930 0.217 0.110 1.420 0.218 1.840
## 3956 2.000 -3.595 0.732 0.995 3.425 -0.265 1.868
## 3957 6.000 -2.310 1.141 0.000 6.080 0.384 1.896
## 3958 1.500 -1.460 0.174 0.095 2.110 0.228 3.310
## 3959 2.000 -1.360 0.248 0.135 3.120 0.594 3.497
## 3960 2.000 -2.090 0.535 0.807 3.040 -0.178 2.007
## 3961 2.000 -2.500 -0.058 0.025 2.270 -0.268 2.759
## 3962 2.000 -1.640 0.260 0.205 2.580 0.125 2.501
## 3963 1.500 -2.455 0.017 0.000 2.895 -0.097 2.842
## 3964 2.000 -2.830 0.233 0.245 2.570 0.026 2.984
## 3965 2.000 -2.670 0.360 0.140 2.460 -0.002 3.860
## 3966 2.000 -1.255 0.050 -0.045 1.725 0.500 2.765
## 3967 Inf -1.060 0.231 0.232 1.660 0.040 2.142
## 3968 2.000 -0.770 0.107 0.075 1.190 0.349 3.001
## 3969 2.000 -1.050 0.091 0.048 0.800 -0.519 3.064
## 3970 1.500 -1.575 0.645 0.000 4.460 0.500 2.018
## 3971 2.000 -2.545 0.314 0.500 3.075 -0.058 2.293
## 3972 1.500 -3.580 0.103 0.250 3.130 -0.348 3.020
## 3973 2.000 -2.060 0.145 0.130 1.830 -0.318 2.771
## 3974 Inf -1.515 0.154 0.160 1.515 -0.193 3.282
## 3975 2.000 -2.610 0.078 0.085 1.560 -0.605 3.548
## 3976 2.000 -1.600 0.292 0.150 2.300 0.081 2.054
## 3977 2.000 -1.410 1.043 0.000 5.170 0.652 1.992
## 3978 2.000 -1.295 0.849 0.030 4.125 0.656 1.959
## 3979 2.000 -1.375 0.080 0.060 1.835 0.442 3.379
## 3980 1.500 -0.520 0.100 0.000 1.400 1.437 4.607
## 3981 2.000 -1.010 0.176 0.190 1.520 -0.003 3.311
## 3982 Inf -0.905 0.213 0.245 1.265 -0.188 2.442
## 3983 2.000 -1.090 0.146 0.055 1.710 0.289 2.475
## 3984 2.000 -1.310 0.238 0.200 1.370 -0.293 2.481
## 3985 2.000 -1.380 0.194 0.195 1.635 -0.339 3.235
## 3986 1.500 -1.100 0.015 0.000 0.820 -0.196 2.864
## 3987 1.500 -0.650 0.006 -0.010 0.840 0.294 3.492
## 3988 2.000 -1.035 0.016 -0.002 0.895 -0.178 3.178
## 3989 2.000 -1.280 -0.059 -0.035 2.020 0.677 4.860
## 3990 2.000 -1.165 0.057 -0.005 1.355 0.199 2.694
## 3991 2.000 -1.290 0.060 0.020 1.290 -0.048 2.485
## 3992 2.000 -1.265 0.022 0.025 1.255 -0.079 2.626
## 3993 5.000 -1.770 0.009 0.000 1.760 -0.151 3.587
## 3994 2.000 -0.830 0.137 0.040 1.110 0.288 2.708
## 3995 1.500 -0.720 0.009 -0.010 1.455 1.049 4.970
## 3996 2.000 -1.910 0.050 -0.005 2.130 0.437 3.345
## 3997 2.000 -1.610 0.115 -0.050 1.900 0.143 3.102
## 3998 2.000 -0.800 0.120 0.105 1.400 0.384 2.688
## 3999 2.000 -1.125 0.043 0.100 1.175 0.021 2.624
## 4000 2.000 -0.825 0.106 0.075 1.265 0.166 3.106
## 4001 2.000 -0.840 0.057 0.010 0.990 0.020 2.992
## 4002 2.000 -1.370 0.093 0.005 1.270 -0.249 3.203
## 4003 Inf -1.360 0.099 0.115 1.000 -0.533 3.244
## 4004 2.000 -0.680 0.152 0.070 1.600 0.654 3.432
## 4005 2.000 -1.520 0.085 0.000 1.540 -0.175 3.586
## 4006 2.000 -1.045 -0.043 0.013 0.855 -0.204 2.150
## 4007 2.000 -1.395 0.106 0.005 1.125 -0.238 2.724
## 4008 2.000 -0.660 0.062 0.050 1.080 0.527 2.638
## 4009 2.000 -1.615 0.038 0.045 0.925 -0.728 4.206
## 4010 3.500 -3.920 0.062 0.010 3.170 -0.370 2.773
## 4011 2.000 -2.510 0.354 0.230 2.640 -0.012 2.319
## 4012 2.000 -2.590 -0.013 0.000 1.470 -0.505 3.377
## 4013 2.000 -1.915 0.112 0.105 1.775 -0.534 4.176
## 4014 2.000 -1.295 0.174 0.130 1.435 0.137 3.303
## 4015 2.000 -0.637 0.095 0.082 0.932 0.111 2.519
## 4016 2.000 -0.720 0.064 0.040 0.910 0.184 2.350
## 4017 2.000 -1.460 -0.001 0.040 0.780 -0.657 3.436
## 4018 2.000 -0.990 0.007 0.055 1.025 -0.124 3.201
## 4019 2.000 -1.220 -0.051 0.035 0.710 -0.442 2.479
## 4020 2.000 -0.820 0.012 -0.030 1.350 0.813 3.867
## 4021 2.000 -0.805 0.055 0.042 1.185 0.141 3.069
## 4022 2.000 -1.430 0.013 0.105 1.430 -0.440 3.644
## 4023 2.000 -1.070 0.036 0.060 1.770 0.301 4.781
## 4024 2.000 -1.400 0.137 0.125 1.370 -0.534 4.429
## 4025 2.000 -3.500 -0.300 0.015 1.355 -1.470 4.539
## 4026 1.500 -0.900 0.000 0.010 0.910 -0.352 2.823
## 4027 4.000 -1.865 -0.199 0.000 1.065 -0.671 2.743
## 4028 2.500 -2.500 0.056 0.000 2.040 -0.220 3.178
## 4029 2.000 -1.600 0.167 0.220 1.390 -0.329 2.648
## 4030 2.000 -1.265 0.071 0.190 1.075 -0.412 2.490
## 4031 2.000 -1.250 0.164 0.005 1.960 0.560 3.280
## 4032 2.000 -1.410 0.193 0.045 2.550 0.711 3.628
## 4033 2.000 -1.665 0.064 0.000 1.775 -0.079 2.984
## 4034 1.333 -1.145 0.164 0.100 2.525 1.481 6.471
## 4035 1.500 -0.840 -0.048 -0.040 1.080 0.603 3.579
## 4036 2.000 -1.850 0.162 0.085 1.510 -0.379 2.473
## 4037 2.000 -1.500 0.241 0.275 2.280 0.242 3.900
## 4038 1.500 -0.900 0.042 0.025 0.745 -0.293 2.895
## 4039 2.000 -2.115 0.228 0.155 2.490 -0.105 2.490
## 4040 2.000 -1.765 0.046 0.105 1.595 -0.245 2.455
## 4041 2.000 -0.945 0.037 0.085 1.225 -0.113 2.445
## 4042 2.000 -3.460 0.098 0.235 2.630 -0.467 3.142
## 4043 Inf -3.790 0.321 0.275 2.720 -0.525 4.311
## 4044 2.000 -1.320 0.026 0.015 0.740 -0.648 3.603
## 4045 2.000 -1.215 0.109 0.155 0.955 -0.562 3.292
## 4046 2.000 -1.400 0.100 0.218 1.110 -0.801 3.004
## 4047 1.500 -1.520 -0.030 0.120 1.030 -0.773 2.923
## 4048 1.500 -1.070 0.070 0.075 1.020 -0.579 3.107
## 4049 Inf -3.220 -0.098 0.095 2.405 -0.552 3.434
## 4050 2.000 -4.030 0.000 0.345 2.915 -0.908 3.561
## 4051 2.000 -2.010 0.192 0.330 2.080 -0.586 3.303
## 4052 1.500 -1.815 0.132 0.065 1.565 -0.563 6.308
## 4053 Inf -0.980 0.134 0.180 1.080 -0.343 3.392
## 4054 2.000 -0.665 0.193 0.155 1.195 0.067 2.434
## 4055 1.500 -1.030 0.036 0.053 1.310 0.264 2.836
## 4056 2.000 -1.830 0.158 0.110 1.380 -0.425 3.321
## 4057 Inf -4.970 0.447 0.438 3.280 -0.860 4.372
## 4058 2.000 -1.900 0.306 0.140 3.160 0.462 3.439
## 4059 Inf -2.500 0.216 0.288 3.050 -0.073 1.875
## 4060 Inf -2.980 0.487 0.565 3.950 -0.154 1.916
## 4061 2.000 -3.630 0.252 0.218 2.510 -0.490 3.433
## 4062 2.000 -3.165 0.039 0.085 2.465 -0.252 1.889
## 4063 2.000 -1.580 0.105 0.005 2.180 0.438 2.538
## 4064 Inf -1.530 0.286 0.058 2.750 0.336 2.141
## 4065 2.000 -0.930 0.128 0.002 1.335 0.334 2.681
## 4066 2.000 -1.295 0.215 0.265 1.635 -0.367 3.255
## 4067 2.000 -1.395 0.085 0.228 1.045 -0.655 2.839
## 4068 2.000 -0.670 0.129 0.108 1.190 0.114 2.790
## 4069 2.000 -1.160 0.080 0.050 1.170 -0.133 2.187
## 4070 1.500 -1.130 0.129 0.075 1.930 0.625 3.383
## 4071 2.000 -1.540 0.290 0.285 2.545 0.581 2.607
## 4072 2.000 -1.505 0.417 0.360 2.840 0.486 3.018
## 4073 2.000 -2.075 0.133 0.095 2.860 0.191 2.866
## 4074 9.000 -1.315 0.031 0.000 3.625 2.214 10.497
## 4075 13.000 -2.020 0.151 0.000 3.165 0.541 2.719
## 4076 2.000 -2.255 0.098 -0.002 3.280 0.582 2.834
## 4077 2.000 -2.000 0.174 -0.030 2.790 0.425 2.973
## 4078 2.000 -1.375 0.165 -0.005 2.425 0.742 2.635
## 4079 2.000 -0.895 0.263 -0.058 3.525 1.608 4.756
## 4080 1.333 -0.555 0.082 0.000 2.765 2.519 9.994
## 4081 2.000 -0.730 0.311 0.000 3.170 1.749 5.423
## 4082 2.000 -1.080 0.115 0.060 2.500 1.588 8.790
## 4083 2.000 -0.785 0.067 0.025 0.885 -0.024 2.510
## 4084 Inf -0.670 0.059 0.015 1.000 0.522 2.453
## 4085 2.000 -2.635 0.792 0.140 6.995 1.586 5.076
## 4086 2.000 -1.225 0.056 0.135 1.930 0.340 3.033
## 4087 2.000 -1.020 0.220 0.065 2.355 0.974 3.833
## 4088 2.000 -1.320 0.171 -0.038 2.615 0.857 3.261
## 4089 3.000 -2.450 0.376 0.000 4.295 0.841 3.323
## 4090 1.500 -1.200 0.115 0.035 1.515 0.527 3.902
## 4091 2.000 -2.255 -0.050 0.015 1.115 -0.770 4.767
## 4092 Inf -2.140 0.166 0.140 2.700 0.165 1.961
## 4093 2.000 -4.135 -0.255 0.125 3.355 -0.102 1.677
## 4094 Inf -5.000 -0.286 -0.155 3.640 -0.162 1.949
## 4095 3.000 -3.110 0.067 0.090 2.290 -0.284 1.783
## 4096 6.000 -2.060 0.202 0.000 3.210 0.356 3.199
## 4097 2.000 -2.720 -0.155 -0.045 1.140 -0.938 4.427
## 4098 2.000 -2.420 0.178 0.380 1.780 -0.486 2.892
## 4099 2.000 -3.453 -0.157 0.062 1.378 -1.109 3.987
## 4100 2.000 -1.925 -0.225 -0.055 1.265 -0.228 1.823
## 4101 1.500 -3.890 -0.606 0.000 1.520 -1.060 2.758
## 4102 2.000 -2.215 -0.147 -0.013 1.365 -0.566 2.674
## 4103 2.000 -1.910 0.003 0.005 1.620 -0.504 3.221
## 4104 2.000 -1.540 0.156 0.080 1.460 0.021 3.038
## 4105 1.500 -0.940 0.002 0.005 0.725 -0.224 2.260
## 4106 2.000 -3.720 0.066 0.190 3.390 -0.430 2.868
## 4107 2.000 -1.140 0.056 0.105 1.090 -0.112 2.663
## 4108 2.000 -1.185 0.056 0.017 1.435 0.233 3.599
## 4109 2.000 -0.770 0.094 -0.010 1.710 0.602 3.088
## 4110 9.000 -2.225 0.229 0.000 2.775 -0.029 2.139
## 4111 2.500 -1.515 0.367 0.020 2.585 0.280 2.207
## 4112 2.000 -0.765 0.409 0.125 2.185 0.552 2.176
## 4113 1.500 -1.350 -0.059 0.015 1.300 -0.062 2.099
## 4114 2.000 -1.260 0.251 0.050 1.820 0.463 3.149
## 4115 2.000 -1.200 0.243 0.250 1.700 0.173 3.535
## 4116 4.000 -2.060 0.197 0.205 1.930 -0.448 4.525
## 4117 4.000 -2.005 0.250 0.170 2.385 -0.031 2.661
## 4118 Inf -1.020 0.167 0.080 1.420 0.038 1.890
## 4119 1.500 -0.630 0.079 0.025 1.195 0.295 2.324
## 4120 2.000 -0.970 0.076 -0.070 1.460 0.308 1.795
## 4121 2.000 -1.605 0.052 0.040 1.560 0.013 2.260
## 4122 2.000 -0.593 -0.024 0.001 0.707 0.195 2.119
## 4123 2.000 -0.920 -0.006 -0.005 0.790 0.112 2.551
## 4124 2.000 -1.285 0.230 0.045 1.895 0.802 3.949
## 4125 4.000 -1.300 0.094 0.000 2.240 0.773 3.499
## 4126 Inf -1.100 0.196 0.015 3.150 1.666 8.036
## 4127 2.000 -2.750 0.092 0.010 2.350 -0.147 3.372
## 4128 2.000 -1.923 0.269 0.040 2.458 0.283 3.195
## 4129 2.000 -1.160 0.027 0.000 1.525 0.182 3.153
## 4130 2.000 -0.765 0.152 0.000 1.620 0.565 2.758
## 4131 1.500 -0.750 0.004 -0.010 0.910 0.057 4.944
## 4132 2.000 -1.520 -0.007 0.015 0.890 -0.485 2.951
## 4133 2.000 -1.190 -0.002 0.000 0.980 0.015 3.215
## 4134 2.000 -1.070 0.073 0.040 1.100 0.220 3.623
## 4135 2.000 -0.770 0.035 0.010 1.200 0.475 3.717
## 4136 2.000 -0.720 0.023 0.010 0.720 0.397 3.352
## 4137 2.000 -0.970 0.216 0.085 1.760 0.568 2.775
## 4138 2.000 -0.900 0.083 0.065 0.990 -0.059 2.172
## 4139 2.000 -0.900 0.116 0.150 1.170 -0.014 2.640
## 4140 2.000 -1.255 0.024 0.032 1.095 -0.163 2.573
## 4141 2.000 -0.850 0.092 0.020 1.260 0.400 4.239
## 4142 1.500 -0.880 0.096 0.155 1.220 -0.187 3.515
## 4143 2.000 -1.635 0.512 0.348 3.335 0.393 2.964
## 4144 2.000 -1.960 0.468 -0.065 3.670 0.754 2.352
## 4145 2.000 -1.550 0.169 0.128 1.250 -0.196 2.217
## 4146 2.000 -0.870 0.123 0.020 1.190 0.097 1.862
## 4147 1.500 -1.040 0.215 0.180 1.110 -0.181 2.312
## 4148 2.000 -0.660 0.171 0.210 1.240 0.073 2.076
## 4149 3.000 -1.340 0.137 0.145 1.560 0.082 2.528
## 4150 Inf -0.785 0.149 0.055 1.145 0.129 1.946
## 4151 2.000 -1.420 0.082 -0.025 1.540 0.122 2.244
## 4152 2.000 -0.785 0.074 0.000 1.025 0.109 2.118
## 4153 Inf -2.020 0.730 0.790 3.600 0.186 1.970
## 4154 3.000 -2.880 0.910 1.330 4.305 -0.144 1.933
## 4155 Inf -0.690 0.075 0.040 0.960 0.092 2.255
## 4156 3.000 -0.990 0.139 0.092 1.810 0.568 3.081
## 4157 2.000 -1.120 0.199 0.025 1.930 0.559 2.964
## 4158 2.000 -1.390 -0.040 0.002 1.280 -0.188 4.079
## 4159 3.000 -1.530 0.366 0.000 3.940 0.773 3.077
## 4160 2.000 -0.525 0.256 0.145 1.745 0.813 3.027
## 4161 2.000 -0.685 0.127 0.070 1.295 0.345 2.614
## 4162 2.000 -0.700 0.248 0.135 1.530 0.449 2.323
## 4163 2.000 -2.160 0.010 0.105 1.480 -0.721 3.280
## 4164 1.500 -1.590 0.087 0.145 1.310 -0.623 3.102
## 4165 2.000 -1.070 0.053 0.080 0.950 -0.006 2.266
## 4166 2.000 -1.280 0.143 0.100 1.270 -0.223 2.979
## 4167 2.000 -1.110 0.066 0.055 1.070 -0.134 3.100
## 4168 Inf -0.955 0.152 0.225 1.520 0.128 2.585
## 4169 2.000 -2.000 0.053 0.098 1.830 -0.173 3.257
## 4170 2.000 -0.770 0.087 0.007 1.185 0.439 2.543
## 4171 2.000 -2.070 0.132 0.180 1.600 -0.695 3.136
## 4172 2.000 -2.130 0.272 0.130 2.910 0.329 3.534
## 4173 2.000 -2.190 0.162 -0.060 2.380 0.295 2.998
## 4174 2.000 -0.965 0.063 0.000 1.130 0.222 2.698
## 4175 Inf -0.805 0.319 0.195 2.685 0.933 3.494
## 4176 2.000 -1.040 0.160 0.010 1.710 0.296 2.125
## 4177 1.500 -1.190 0.087 0.180 1.285 -0.198 2.265
## 4178 1.500 -0.660 0.098 0.000 1.710 1.084 4.384
## 4179 2.000 -0.795 0.220 0.015 2.080 0.967 3.017
## 4180 2.000 -0.800 0.045 -0.025 0.960 0.162 2.527
## 4181 2.000 -1.400 0.006 -0.015 1.160 0.111 3.058
## 4182 2.000 -1.135 0.119 -0.025 2.270 0.676 2.789
## 4183 2.500 -0.650 0.049 0.000 1.630 1.361 5.639
## 4184 7.000 -1.560 0.712 0.000 4.140 0.743 2.205
## 4185 2.000 -0.895 0.173 -0.015 2.465 1.358 4.724
## 4186 2.000 -0.975 0.323 -0.007 3.235 1.522 4.263
## 4187 4.000 -1.610 0.248 0.000 2.800 0.723 2.758
## 4188 2.000 -1.345 0.022 -0.050 1.655 0.179 2.228
## 4189 2.000 -1.035 0.150 0.045 1.595 0.451 2.625
## 4190 2.000 -0.998 0.069 -0.032 1.988 1.131 4.575
## 4191 2.000 -1.260 0.048 -0.052 1.560 0.564 3.626
## 4192 1.500 -0.810 0.041 -0.010 1.640 1.183 4.211
## 4193 Inf -1.580 0.122 -0.025 2.260 0.731 4.186
## 4194 2.000 -1.960 -0.124 -0.220 1.820 0.125 2.749
## 4195 2.000 -0.780 0.102 -0.010 1.760 0.895 3.135
## 4196 2.000 -2.140 0.069 0.000 1.920 -0.256 5.506
## 4197 2.000 -1.570 0.095 0.010 1.350 -0.022 3.926
## 4198 Inf -1.370 -0.107 -0.095 1.510 0.214 3.311
## 4199 2.000 -1.140 -0.072 -0.075 1.820 0.743 4.204
## 4200 2.000 -0.840 -0.020 -0.005 0.680 -0.265 2.221
## 4201 2.000 -1.770 0.050 0.125 1.430 -0.268 2.439
## 4202 2.000 -1.490 0.083 -0.025 1.970 0.185 2.567
## 4203 2.000 -1.045 -0.111 -0.112 0.935 -0.123 3.659
## 4204 2.000 -1.310 -0.013 -0.070 1.310 -0.058 3.391
## 4205 1.500 -0.785 -0.031 -0.015 0.855 0.024 2.381
## 4206 2.000 -0.915 -0.049 -0.065 1.145 0.602 3.506
## 4207 2.000 -1.885 -0.012 0.020 1.215 -0.294 3.251
## 4208 2.000 -1.400 0.039 0.015 1.320 0.035 2.652
## 4209 2.000 -1.470 -0.009 0.005 1.465 0.067 3.339
## 4210 2.000 -1.085 -0.002 0.005 1.335 0.088 2.738
## 4211 2.000 -1.390 0.060 0.015 1.670 0.301 2.794
## 4212 2.000 -1.860 0.158 0.055 1.680 -0.211 2.727
## 4213 2.000 -2.230 0.125 0.080 2.110 -0.326 3.489
## 4214 1.500 -1.330 0.281 0.080 2.530 0.604 2.465
## 4215 Inf -1.335 0.255 0.000 2.385 0.654 2.436
## 4216 Inf -1.120 0.140 0.005 2.140 0.646 2.445
## 4217 2.000 -1.040 0.335 0.100 3.200 1.453 5.752
## 4218 Inf -1.780 0.351 0.055 3.615 0.715 2.649
## 4219 2.000 -1.675 0.116 0.160 2.585 0.197 3.353
## 4220 2.000 -0.920 0.224 0.160 2.850 1.457 6.568
## 4221 2.000 -0.970 0.182 0.080 2.550 1.311 5.562
## 4222 1.500 -0.940 0.149 0.025 2.640 1.530 6.607
## 4223 Inf -0.775 0.117 0.028 2.410 1.497 5.928
## 4224 1.500 -0.670 0.108 0.010 1.590 1.094 5.018
## 4225 1.500 -1.415 0.357 0.105 2.800 0.642 2.774
## 4226 2.000 -1.040 0.017 0.015 1.650 0.625 3.404
## 4227 4.000 -1.290 0.209 0.000 3.170 1.575 4.927
## 4228 2.000 -1.210 0.134 -0.255 3.170 1.211 3.583
## 4229 Inf -1.035 0.260 0.030 2.130 0.793 2.674
## 4230 2.000 -0.785 0.098 0.010 1.355 0.916 3.467
## 4231 2.000 -0.960 0.144 -0.015 1.640 0.902 3.166
## 4232 2.000 -1.212 0.098 -0.010 1.808 0.651 3.455
## 4233 2.000 -0.750 0.091 0.015 1.400 0.859 3.404
## 4234 2.000 -0.728 0.086 0.053 1.002 0.252 2.063
## 4235 2.000 -1.020 -0.050 0.015 0.530 -0.778 3.327
## 4236 2.000 -0.740 0.228 0.020 1.620 0.700 2.453
## 4237 2.000 -1.010 0.070 0.010 1.580 0.736 4.383
## 4238 1.500 -0.980 0.135 0.145 1.210 -0.167 2.741
## 4239 Inf -1.260 0.268 0.115 2.500 0.600 3.511
## 4240 2.000 -1.350 0.267 0.150 2.640 0.445 2.926
## 4241 2.000 -2.455 0.518 0.365 3.060 -0.097 2.108
## 4242 2.000 -1.120 0.651 0.530 2.350 0.052 1.736
## 4243 Inf -1.975 0.381 0.330 3.005 -0.103 1.979
## 4244 2.000 -4.135 0.455 0.525 4.075 -0.405 2.631
## 4245 Inf -3.695 0.411 0.530 2.695 -0.687 3.724
## 4246 3.000 -3.850 0.088 0.040 2.400 -0.555 3.951
## 4247 2.000 -3.180 0.158 0.365 2.500 -0.728 2.891
## 4248 2.000 -3.970 0.028 0.230 2.650 -0.977 3.575
## 4249 2.000 -3.245 0.060 0.160 1.695 -0.805 3.744
## 4250 2.000 -1.450 0.143 0.095 1.280 -0.345 2.882
## 4251 Inf -2.575 0.654 0.650 3.095 -0.319 2.096
## 4252 2.000 -1.010 0.090 0.000 1.310 0.485 3.355
## 4253 2.000 -2.020 0.166 0.000 1.550 -0.133 3.698
## 4254 2.000 -1.130 0.117 0.050 1.070 -0.011 2.565
## 4255 2.000 -2.865 0.093 0.115 1.885 -0.825 3.699
## 4256 2.000 -1.880 0.370 0.190 2.110 -0.305 2.702
## 4257 1.500 -1.550 0.246 0.095 2.040 0.349 2.587
## 4258 2.000 -2.760 0.232 0.200 3.130 -0.134 3.503
## 4259 3.000 -3.995 -0.085 0.365 2.205 -0.914 2.868
## 4260 4.000 -3.230 -0.051 0.145 1.810 -0.823 3.232
## 4261 2.000 -0.840 0.207 0.070 2.530 0.848 3.937
## 4262 Inf -2.430 -0.078 0.005 1.790 -0.139 2.029
## 4263 2.000 -1.210 0.320 0.065 2.860 0.622 2.648
## 4264 1.500 -1.235 0.638 0.000 4.185 0.783 2.213
## 4265 2.000 -0.980 0.051 0.000 1.160 0.142 2.284
## 4266 2.000 -1.160 -0.007 -0.155 1.305 0.530 2.449
## 4267 Inf -1.350 0.117 0.075 2.385 0.568 2.758
## 4268 2.000 -1.105 0.202 0.055 1.805 0.306 2.597
## 4269 1.500 -1.160 0.153 0.025 1.840 0.210 2.536
## 4270 2.000 -1.060 0.130 0.075 1.700 0.412 2.765
## 4271 1.500 -0.765 0.172 0.070 1.165 0.048 2.488
## 4272 2.000 -0.730 0.114 0.132 1.010 -0.071 2.316
## 4273 2.000 -0.820 0.166 0.055 1.870 0.900 3.819
## 4274 Inf -0.970 0.183 0.065 2.140 0.714 3.115
## 4275 2.000 -1.540 0.207 0.145 1.780 0.179 2.694
## 4276 2.000 -1.560 0.063 0.045 1.260 -0.067 2.200
## 4277 2.000 -1.050 0.265 0.200 2.165 0.265 2.381
## 4278 2.000 -1.150 0.384 0.270 3.220 0.582 3.098
## 4279 2.000 -1.000 0.623 0.330 2.680 0.258 1.876
## 4280 12.000 -4.220 -0.020 0.000 3.730 -0.067 2.248
## 4281 2.000 -0.830 0.293 0.185 1.890 0.844 3.164
## 4282 2.000 -1.630 0.578 0.290 3.375 0.417 2.129
## 4283 1.500 -0.705 0.223 0.130 1.605 0.598 2.930
## 4284 2.000 -1.150 0.225 0.145 1.530 0.059 2.257
## 4285 2.000 -1.010 0.368 0.375 1.630 -0.042 1.842
## 4286 2.000 -1.080 0.299 0.230 1.970 0.020 2.033
## 4287 1.500 -0.910 0.320 0.285 1.750 -0.110 2.072
## 4288 Inf -3.530 0.924 1.243 4.690 -0.258 2.074
## 4289 Inf -2.660 1.004 1.028 4.780 -0.021 1.921
## 4290 6.000 -1.745 0.346 0.260 2.765 0.241 3.100
## 4291 2.000 -2.610 0.473 0.362 2.730 -0.147 2.743
## 4292 2.000 -1.470 0.249 0.183 2.180 0.177 2.546
## 4293 1.500 -0.680 0.164 0.065 1.680 0.653 3.019
## 4294 2.000 -1.250 0.317 0.150 2.460 0.290 2.332
## 4295 2.000 -2.005 0.340 0.120 3.475 0.492 2.559
## 4296 3.000 -2.250 0.329 -0.120 3.740 0.655 2.153
## 4297 2.000 -1.615 0.350 -0.090 3.055 0.633 2.320
## 4298 2.000 -1.225 0.323 0.050 2.865 0.737 2.859
## 4299 2.000 -1.378 0.427 0.022 2.622 0.454 2.071
## 4300 2.000 -1.225 0.506 0.210 2.645 0.408 1.984
## 4301 2.000 -1.320 0.337 0.015 2.130 0.475 2.016
## 4302 2.000 -1.780 0.329 0.060 3.010 0.551 2.302
## 4303 2.000 -2.490 0.272 0.045 3.630 0.572 3.900
## 4304 5.000 -1.970 0.730 0.000 5.015 1.053 2.676
## 4305 2.000 -1.305 0.745 -0.035 4.300 1.098 2.686
## 4306 2.000 -1.880 0.766 -0.015 5.360 1.031 2.621
## 4307 12.000 -2.340 0.401 0.000 3.820 0.955 3.609
## 4308 7.000 -2.480 1.181 0.410 6.150 0.562 2.259
## 4309 2.000 -1.600 0.356 0.080 3.220 0.760 3.167
## 4310 2.000 -1.600 0.456 0.118 3.520 0.721 2.876
## 4311 2.000 -1.140 0.443 0.212 3.010 0.794 2.921
## 4312 2.000 -1.610 0.267 0.175 3.110 0.605 2.695
## 4313 2.000 -1.732 0.391 0.055 3.087 0.524 2.534
## 4314 2.000 -0.920 0.310 0.028 2.750 0.936 2.964
## 4315 Inf -0.630 0.260 0.170 1.750 0.783 2.913
## 4316 2.000 -0.510 0.461 0.405 2.020 0.676 2.320
## 4317 Inf -1.180 0.427 0.075 2.950 0.819 2.449
## 4318 2.000 -0.725 0.453 0.145 3.110 1.069 3.213
## 4319 8.500 -1.040 0.222 0.000 2.990 2.342 8.269
## 4320 8.000 -1.420 0.737 0.000 5.380 1.088 2.693
## 4321 Inf -1.595 0.480 -0.060 3.565 0.957 2.615
## 4322 2.000 -1.300 0.391 0.000 4.150 1.056 3.249
## 4323 2.000 -0.430 0.323 -0.010 3.170 1.800 5.459
## 4324 2.000 -0.880 0.313 0.065 3.150 1.134 4.291
## 4325 2.000 -0.790 0.339 0.015 3.510 1.082 3.239
## 4326 2.000 -1.695 0.465 0.145 2.930 0.796 2.561
## 4327 4.000 -2.070 0.824 0.070 4.900 0.847 2.430
## 4328 1.500 -0.940 0.332 -0.020 2.400 1.108 2.946
## 4329 2.000 -0.765 0.245 -0.013 2.065 1.214 3.688
## 4330 2.000 -1.115 0.409 0.108 3.045 0.764 2.805
## 4331 1.500 -0.920 0.228 0.160 1.610 0.466 2.776
## 4332 2.000 -1.700 0.366 0.438 2.530 -0.074 2.614
## 4333 1.500 -1.290 0.237 0.132 2.490 0.666 3.719
## 4334 2.000 -1.420 0.340 0.205 2.470 0.460 2.523
## 4335 1.500 -1.130 0.176 -0.005 2.060 0.861 3.105
## 4336 2.000 -1.020 0.126 -0.005 2.000 0.994 3.667
## 4337 2.000 -0.755 0.192 0.065 1.735 0.868 3.091
## 4338 4.000 -1.100 0.521 0.015 2.520 0.564 1.972
## 4339 2.000 -1.010 0.412 0.075 3.620 1.417 5.322
## 4340 Inf -1.520 0.401 0.085 2.800 0.576 2.134
## 4341 Inf -3.075 0.351 0.075 3.405 0.162 1.978
## 4342 2.000 -0.700 0.391 0.230 3.010 1.002 4.147
## 4343 2.000 -1.425 0.346 0.110 2.665 0.533 2.656
## 4344 2.000 -3.290 0.401 0.175 4.690 0.272 1.821
## 4345 2.000 -1.020 0.099 0.045 1.660 0.560 2.568
## 4346 2.000 -1.515 0.411 0.410 2.655 0.136 2.056
## 4347 2.500 -1.790 0.284 0.000 2.770 0.265 1.696
## 4348 6.000 -2.615 0.389 0.215 3.125 -0.172 2.000
## 4349 2.000 -0.938 0.309 0.152 1.903 0.342 1.948
## 4350 1.500 -1.800 0.324 0.405 2.650 -0.033 2.302
## 4351 2.000 -0.835 0.177 0.095 1.150 0.413 2.766
## 4352 2.000 -1.155 0.268 0.180 1.740 0.086 2.138
## 4353 Inf -4.885 0.476 0.140 4.755 0.110 2.340
## 4354 Inf -4.950 0.673 0.520 5.350 0.103 2.307
## 4355 6.000 -2.720 0.238 0.000 2.700 0.098 2.229
## 4356 2.000 -1.275 0.230 0.002 2.005 0.550 3.117
## 4357 Inf -1.610 0.222 0.035 2.080 0.248 2.577
## 4358 2.000 -1.140 0.237 0.075 2.050 0.504 2.447
## 4359 2.000 -1.980 0.459 0.315 2.680 0.191 2.099
## 4360 2.000 -0.760 0.264 0.035 1.780 0.785 2.458
## 4361 2.000 -2.060 0.197 0.255 2.110 -0.202 2.414
## 4362 1.500 -2.700 0.690 0.535 3.690 -0.169 2.359
## 4363 Inf -1.010 0.325 0.060 2.620 0.611 2.379
## 4364 2.000 -1.020 0.272 0.145 2.410 0.759 3.458
## 4365 1.500 -0.920 0.176 0.070 1.460 0.461 2.583
## 4366 2.000 -1.815 0.095 0.135 1.505 -0.526 3.544
## 4367 1.500 -1.570 0.004 0.005 1.420 -0.176 4.694
## 4368 1.500 -0.840 0.193 0.105 1.760 0.595 3.204
## 4369 2.000 -0.875 0.060 0.038 2.225 1.083 4.643
## 4370 2.000 -1.060 0.079 0.055 1.760 0.482 3.963
## 4371 2.000 -1.445 0.235 0.140 1.695 0.015 2.722
## 4372 2.000 -1.425 0.172 0.200 1.595 -0.115 2.761
## 4373 2.000 -1.570 0.196 0.100 1.500 -0.002 2.972
## 4374 Inf -1.420 0.348 0.255 2.080 0.145 2.599
## 4375 2.500 -5.520 0.311 0.470 3.920 -0.975 4.770
## 4376 2.000 -4.370 0.195 0.353 3.000 -0.915 3.679
## 4377 2.000 -3.190 0.034 0.155 1.810 -0.862 4.237
## 4378 2.000 -1.285 0.121 0.000 1.995 0.736 3.168
## 4379 2.000 -1.130 0.327 0.160 1.990 0.552 2.345
## 4380 2.000 -1.180 0.241 0.100 1.760 0.277 2.295
## 4381 2.000 -1.115 0.137 0.085 1.395 0.162 2.653
## 4382 2.000 -0.890 0.064 0.055 1.110 0.207 3.218
## 4383 6.000 -2.680 0.611 0.000 4.940 0.712 2.479
## 4384 Inf -2.070 0.355 0.345 3.290 0.138 1.832
## 4385 Inf -1.220 0.320 0.228 2.360 0.544 2.376
## 4386 2.000 -1.340 0.146 0.025 1.360 0.069 2.812
## 4387 2.000 -2.410 0.831 0.005 5.695 0.790 2.801
## 4388 Inf -2.695 0.891 0.002 6.180 0.724 2.711
## 4389 2.000 -1.445 0.237 0.090 3.580 1.037 3.875
## 4390 2.000 -0.845 0.073 -0.005 1.485 0.609 2.950
## 4391 2.000 -1.065 0.034 -0.040 1.800 0.725 4.403
## 4392 2.000 -1.215 0.050 -0.035 2.040 0.709 4.353
## 4393 1.500 -1.970 -0.011 0.000 1.900 0.234 3.878
## 4394 2.000 -1.695 0.177 0.170 2.975 0.262 1.942
## 4395 Inf -1.415 0.167 0.110 2.275 0.385 2.650
## 4396 2.000 -1.430 0.260 0.000 2.030 0.415 2.184
## 4397 2.000 -2.380 0.259 0.100 2.480 0.362 2.394
## 4398 2.000 -1.530 0.415 0.085 2.960 0.539 2.319
## 4399 Inf -0.760 0.178 0.110 1.500 0.582 3.061
## 4400 2.000 -1.250 0.031 0.000 1.900 0.809 4.845
## 4401 2.000 -1.980 0.072 0.000 2.470 0.078 2.181
## 4402 2.000 -2.325 0.013 -0.125 1.635 -0.185 2.945
## 4403 2.000 -2.795 -0.091 -0.235 1.475 -0.458 3.473
## 4404 2.000 -2.985 -0.083 -0.012 1.805 -0.224 2.743
## 4405 2.000 -0.953 -0.008 0.000 0.828 -0.211 2.227
## 4406 2.000 -1.490 0.063 0.000 1.480 -0.054 2.768
## 4407 2.000 -1.070 0.371 0.025 2.600 0.836 2.902
## 4408 2.000 -1.330 0.171 0.050 2.330 0.597 3.877
## 4409 Inf -1.890 0.114 0.000 1.410 -0.260 3.707
## 4410 2.000 -1.060 0.064 0.025 1.340 0.097 2.740
## 4411 1.500 -1.680 -0.148 0.000 1.220 -0.143 2.440
## 4412 2.000 -1.110 -0.107 -0.130 1.260 0.349 2.643
## 4413 2.000 -1.290 -0.148 -0.050 1.110 -0.182 2.213
## 4414 2.000 -0.740 -0.021 -0.020 2.050 1.684 9.073
## 4415 2.000 -1.080 -0.026 -0.030 2.570 1.289 6.113
## 4416 2.000 -1.140 -0.057 0.005 1.080 -0.108 3.429
## 4417 1.667 -2.225 -0.160 0.000 1.145 -1.000 3.753
## 4418 2.000 -0.815 0.331 0.140 2.065 0.542 2.218
## 4419 5.500 -0.890 0.302 0.000 3.000 1.441 5.059
## 4420 2.000 -0.970 0.099 0.070 0.945 -0.222 3.127
## 4421 2.000 -1.050 0.029 0.090 1.260 -0.104 2.260
## 4422 2.000 -2.705 0.097 0.002 2.305 -0.723 4.825
## 4423 2.000 -1.370 0.003 0.045 1.210 -0.181 2.365
## 4424 4.000 -2.120 0.510 0.000 3.800 0.481 2.074
## 4425 5.500 -2.740 0.390 0.000 5.320 0.792 2.610
## 4426 10.000 -2.390 0.792 0.000 6.410 1.034 2.933
## 4427 2.000 -0.670 0.150 0.080 1.600 0.975 3.935
## 4428 2.000 -0.965 0.157 0.230 1.195 -0.165 2.366
## 4429 2.000 -2.095 0.073 0.060 1.815 -0.069 3.928
## 4430 2.000 -1.000 0.059 0.005 1.210 0.426 2.990
## 4431 4.500 -2.000 0.230 0.000 3.060 0.557 3.344
## 4432 2.000 -1.510 0.061 0.120 1.365 -0.209 2.761
## 4433 2.000 -1.035 0.121 0.055 1.095 0.033 2.294
## 4434 2.000 -1.555 0.031 0.150 1.455 -0.273 2.868
## 4435 2.000 -1.360 0.165 0.285 1.975 0.209 2.667
## 4436 2.000 -0.840 0.137 0.010 1.265 0.521 2.670
## 4437 2.000 -1.660 0.574 0.095 3.410 0.439 2.227
## 4438 2.000 -1.675 0.048 0.180 1.290 -0.345 2.165
## 4439 3.000 -1.830 0.055 0.090 1.530 -0.208 2.866
## 4440 1.500 -1.155 0.051 0.120 0.980 -0.247 2.540
## 4441 2.000 -2.380 0.013 0.010 2.260 -0.108 3.706
## 4442 2.000 -0.780 0.049 0.045 1.110 0.713 4.646
## 4443 2.000 -0.720 0.102 0.030 1.180 0.421 2.208
## 4444 Inf -0.760 0.192 0.140 1.480 0.381 2.618
## 4445 2.000 -1.455 0.363 0.345 2.275 0.438 3.099
## 4446 2.000 -1.330 0.378 0.225 3.060 0.703 3.691
## 4447 1.500 -1.820 0.276 0.165 2.950 0.138 2.858
## 4448 2.000 -2.635 0.197 0.315 2.580 -0.365 3.108
## 4449 2.000 -1.455 0.169 0.095 2.885 1.231 6.307
## 4450 2.000 -1.540 0.116 0.260 1.310 -0.616 2.875
## 4451 2.000 -1.800 0.203 0.155 1.780 -0.313 2.408
## 4452 2.000 -1.605 0.244 0.315 1.955 0.009 2.333
## 4453 2.000 -1.000 0.168 0.078 1.530 0.212 2.299
## 4454 2.000 -1.110 0.237 0.125 2.880 0.660 3.395
## 4455 Inf -1.745 0.262 0.100 2.285 0.081 2.088
## 4456 2.000 -0.990 -0.045 -0.110 1.165 0.401 3.007
## 4457 3.000 -1.350 -0.066 -0.055 1.250 0.098 2.275
## 4458 9.000 -1.760 0.116 0.000 2.350 0.254 2.985
## 4459 19.000 -1.280 0.266 0.000 4.930 2.298 8.296
## 4460 15.000 -1.455 0.577 0.000 5.035 1.541 4.159
## 4461 4.500 -0.865 0.562 0.000 4.495 1.502 3.915
## 4462 2.000 -1.290 0.232 -0.010 2.940 1.229 4.166
## 4463 2.000 -0.620 0.020 0.045 0.790 -0.053 2.422
## 4464 2.000 -1.085 0.038 -0.007 1.695 0.507 3.105
## 4465 2.000 -0.880 0.095 -0.020 1.480 0.360 2.201
## 4466 2.000 -0.810 0.045 -0.010 0.980 0.363 2.269
## 4467 2.000 -1.580 0.058 0.030 1.390 -0.184 4.391
## 4468 2.000 -1.190 0.143 0.130 1.425 0.098 3.729
## 4469 2.000 -0.850 0.015 0.005 0.730 -0.175 3.072
## 4470 2.000 -1.265 0.132 0.120 1.565 0.019 3.079
## 4471 2.000 -0.770 0.103 0.075 1.540 0.652 3.740
## 4472 2.000 -0.830 0.085 0.105 1.200 0.516 4.755
## 4473 3.000 -0.750 0.684 0.015 4.910 1.468 3.971
## 4474 1.500 -1.110 0.414 0.000 4.000 1.597 4.793
## 4475 1.500 -0.730 0.120 0.080 1.500 0.609 3.149
## 4476 2.000 -1.140 0.190 0.040 2.180 0.590 3.160
## 4477 1.500 -0.840 -0.011 0.010 1.170 0.425 3.652
## 4478 3.000 -2.120 -0.092 0.000 1.480 -0.334 2.795
## 4479 1.500 -2.400 0.319 0.102 3.890 0.537 3.078
## 4480 2.000 -1.050 0.224 0.145 1.710 -0.105 2.329
## 4481 2.000 -1.580 0.332 0.105 2.460 0.450 2.872
## 4482 3.000 -2.390 0.414 0.105 4.030 0.249 2.456
## 4483 2.000 -1.130 -0.060 0.000 0.860 -0.380 3.135
## 4484 Inf -1.490 0.053 0.010 1.320 -0.140 2.694
## 4485 2.000 -1.545 -0.034 0.000 1.205 -0.158 3.141
## 4486 1.500 -0.980 0.044 0.000 0.690 -0.618 4.236
## 4487 2.000 -1.660 0.063 0.100 1.370 -0.386 3.739
## 4488 2.000 -2.360 0.030 0.060 1.790 -0.752 5.152
## 4489 2.000 -1.445 0.004 0.067 1.285 -0.513 4.395
## 4490 2.000 -1.020 0.003 0.000 0.930 0.013 4.107
## 4491 2.000 -1.325 -0.013 0.052 1.045 -0.622 3.561
## 4492 2.000 -0.880 0.015 0.065 0.830 -0.261 2.502
## 4493 1.500 -1.160 -0.001 0.110 0.680 -0.949 3.226
## 4494 2.000 -1.990 -0.090 0.020 1.020 -0.429 3.688
## 4495 2.000 -1.685 0.056 0.060 0.915 -0.801 3.935
## 4496 4.500 -1.530 0.069 0.000 1.940 0.354 2.621
## 4497 1.500 -1.010 0.211 0.000 2.900 1.381 4.935
## 4498 2.000 -0.460 0.182 0.150 1.170 0.395 2.365
## 4499 Inf -1.370 0.152 0.210 1.760 0.061 3.179
## 4500 4.000 -1.645 0.043 0.025 1.615 -0.131 3.932
## 4501 2.000 -0.640 0.099 0.160 1.160 0.286 2.827
## 4502 7.000 -1.570 0.244 0.000 2.120 0.090 1.921
## 4503 1.500 -1.830 0.164 0.150 1.940 -0.136 1.651
## 4504 2.000 -2.110 -0.139 -0.200 1.840 0.051 2.559
## 4505 2.000 -2.240 -0.041 -0.195 1.670 -0.006 2.227
## 4506 2.000 -0.965 0.142 0.040 1.485 0.263 3.202
## 4507 2.000 -1.192 0.052 0.108 0.677 -0.761 4.429
## 4508 2.000 -0.720 0.192 0.080 1.280 0.459 2.329
## 4509 2.000 -0.540 0.185 0.085 1.225 0.474 2.258
## 4510 2.000 -1.560 -0.010 -0.005 1.810 0.224 2.782
## 4511 2.000 -0.800 0.088 0.040 1.085 0.326 2.864
## 4512 2.000 -0.915 0.094 0.055 0.945 -0.125 2.167
## 4513 2.000 -1.230 0.017 0.045 0.750 -0.599 3.448
## 4514 1.500 -0.830 0.086 0.025 0.850 0.034 2.891
## 4515 2.000 -0.625 0.024 0.025 0.630 -0.006 2.245
## 4516 1.500 -0.610 0.059 0.020 0.930 0.462 2.846
## 4517 2.000 -0.850 0.261 0.330 1.255 -0.085 1.941
## 4518 2.000 -0.720 0.016 0.050 0.740 -0.150 2.455
## 4519 2.000 -0.740 0.018 0.030 0.890 0.077 3.241
## 4520 1.500 -0.870 0.162 0.085 1.295 0.179 2.037
## 4521 2.000 -0.790 0.122 0.018 1.360 0.657 3.015
## 4522 2.000 -0.850 0.014 0.010 1.100 0.214 3.516
## 4523 2.000 -0.700 0.071 0.010 1.430 0.794 3.626
## 4524 2.000 -0.820 0.074 0.065 0.950 -0.015 2.294
## 4525 2.000 -1.500 0.088 0.085 1.770 0.071 3.451
## 4526 2.000 -0.985 0.013 0.052 0.945 -0.098 2.452
## 4527 2.000 -0.740 0.216 0.195 2.020 0.976 4.086
## 4528 3.000 -0.810 0.129 0.030 1.710 0.746 3.494
## 4529 1.500 -1.140 0.211 0.072 2.350 1.243 4.989
## 4530 2.000 -0.945 -0.014 -0.008 0.965 0.098 3.006
## 4531 Inf -1.510 0.018 0.000 2.140 0.808 4.321
## 4532 2.000 -1.055 0.174 0.290 1.650 0.276 2.499
## 4533 2.000 -1.450 0.250 0.295 1.830 -0.016 2.693
## 4534 2.000 -0.805 0.103 0.055 1.035 0.058 2.811
## 4535 2.000 -0.910 0.029 -0.045 1.050 0.390 2.820
## 4536 2.000 -1.905 0.186 0.075 2.035 -0.030 2.948
## 4537 2.000 -1.740 -0.045 0.050 1.210 -0.471 4.362
## 4538 2.000 -0.920 0.127 0.045 1.310 0.431 2.537
## 4539 2.000 -1.425 0.055 -0.048 1.485 0.278 2.508
## 4540 Inf -1.085 0.055 -0.022 1.415 0.233 2.261
## 4541 Inf -0.848 0.130 0.165 1.242 -0.193 2.417
## 4542 2.000 -0.790 0.120 0.107 1.220 0.271 2.978
## 4543 2.000 -0.890 0.081 0.005 1.440 0.617 3.627
## 4544 1.500 -0.520 0.060 -0.005 1.220 0.980 4.826
## 4545 2.000 -0.905 0.107 0.080 1.205 0.185 3.262
## 4546 2.000 -1.130 -0.021 -0.015 0.800 -0.704 4.363
## 4547 2.000 -0.940 0.166 0.135 1.230 0.041 3.421
## 4548 1.500 -1.280 0.033 0.045 1.030 -0.152 2.747
## 4549 Inf -2.245 0.138 0.120 2.440 -0.120 2.618
## 4550 2.000 -2.330 0.224 0.120 2.360 -0.278 2.494
## 4551 2.000 -1.505 0.135 0.152 1.655 0.036 2.498
## 4552 2.000 -1.865 0.083 0.165 1.585 -0.410 3.480
## 4553 2.000 -1.165 0.080 0.210 1.065 -0.409 2.982
## 4554 2.000 -0.780 0.166 0.205 1.175 -0.046 2.415
## 4555 2.000 -0.940 0.167 0.180 1.360 0.079 2.724
## 4556 2.000 -0.990 0.144 0.145 1.250 -0.185 3.155
## 4557 2.000 -0.775 0.040 0.045 1.025 0.011 2.486
## 4558 2.000 -0.835 0.038 0.050 0.805 -0.318 2.463
## 4559 2.000 -1.337 0.102 0.087 1.653 0.372 3.192
## 4560 2.000 -0.970 0.140 0.020 1.710 0.649 2.951
## 4561 2.000 -1.105 0.037 -0.020 1.555 0.285 3.473
## 4562 Inf -1.610 0.237 0.170 3.340 1.068 5.621
## 4563 2.000 -1.360 0.121 0.070 2.375 0.393 3.333
## 4564 2.000 -2.370 0.080 0.015 1.830 -0.712 5.191
## 4565 2.000 -4.430 -0.021 0.038 2.250 -1.610 8.203
## 4566 2.000 -1.700 0.084 0.000 1.960 0.164 3.342
## 4567 2.000 -0.760 0.128 0.060 1.390 0.428 3.129
## 4568 2.000 -1.090 0.183 0.000 1.630 0.349 2.630
## 4569 1.500 -1.020 -0.006 0.055 0.750 -0.656 2.779
## 4570 2.000 -1.695 0.003 0.092 1.160 -0.701 3.502
## 4571 2.000 -1.290 0.045 0.060 1.355 -0.222 3.781
## 4572 2.000 -1.285 0.160 0.230 1.255 -0.490 3.510
## 4573 2.000 -1.310 0.217 0.190 1.670 0.175 2.992
## 4574 2.000 -4.195 -0.247 0.165 1.725 -1.124 3.759
## 4575 Inf -1.095 -0.024 -0.030 1.625 0.331 2.721
## 4576 Inf -0.960 0.061 0.000 1.710 0.570 3.092
## 4577 1.500 -0.920 0.171 0.105 1.930 0.511 3.641
## 4578 2.000 -0.920 0.116 0.035 1.570 0.587 3.726
## 4579 1.500 -1.070 0.149 0.070 1.560 0.614 3.981
## 4580 2.000 -1.250 0.066 0.115 1.280 0.016 3.302
## 4581 2.000 -1.045 -0.025 0.005 0.915 -0.193 2.553
## 4582 2.000 -0.910 -0.042 -0.010 0.620 -0.460 2.531
## 4583 2.000 -1.340 -0.116 -0.115 0.850 -0.199 3.132
## 4584 2.000 -0.970 -0.051 -0.020 0.900 -0.195 2.977
## 4585 2.000 -1.650 -0.046 0.020 0.690 -1.294 5.494
## 4586 2.000 -0.960 0.052 -0.005 0.930 -0.128 2.793
## 4587 2.000 -0.770 0.094 0.005 1.030 0.219 2.477
## 4588 2.000 -1.085 0.000 -0.002 0.835 -0.192 2.933
## 4589 2.000 -0.570 0.076 0.023 1.060 0.275 2.862
## 4590 1.500 -0.955 -0.034 -0.005 0.745 -0.485 3.284
## 4591 2.000 -0.930 0.106 0.000 1.790 0.502 2.740
## 4592 2.000 -1.030 0.083 -0.010 1.790 0.726 3.509
## 4593 2.000 -1.590 -0.004 0.010 1.070 -0.589 4.086
## 4594 2.000 -1.075 -0.005 0.035 1.145 0.176 3.411
## 4595 2.000 -1.255 0.129 0.013 1.335 0.095 2.382
## 4596 2.000 -1.035 0.090 0.125 0.935 -0.264 2.248
## 4597 2.000 -0.860 -0.009 0.000 0.570 -0.347 2.846
## 4598 2.000 -0.770 -0.046 -0.025 1.005 0.309 2.606
## 4599 2.000 -1.320 -0.105 -0.065 0.850 -0.237 2.341
## 4600 2.000 -0.580 0.071 -0.018 1.030 0.592 2.638
## 4601 2.000 -0.820 0.013 -0.048 1.260 0.645 2.999
## 4602 2.000 -0.815 0.068 0.000 1.325 0.566 2.793
## 4603 2.000 -0.640 0.049 0.050 0.980 0.228 2.899
## 4604 2.000 -0.870 0.045 0.065 0.760 -0.374 2.727
## 4605 1.500 -1.240 0.036 0.035 1.150 -0.167 3.729
## 4606 2.000 -0.735 0.070 0.020 1.295 0.772 4.802
## 4607 2.000 -1.265 0.028 0.000 2.120 0.924 7.285
## 4608 1.500 -0.800 0.082 0.005 2.970 2.103 10.057
## 4609 1.500 -0.640 0.107 -0.010 2.280 2.164 10.477
## 4610 2.000 -1.190 -0.031 0.015 0.810 -0.498 2.384
## 4611 2.000 -0.950 -0.019 0.025 0.880 -0.039 2.266
## 4612 2.000 -1.050 0.007 0.040 0.780 -0.492 3.049
## 4613 2.000 -1.060 0.044 0.045 0.940 -0.384 2.567
## 4614 2.000 -2.000 -0.018 0.007 0.980 -0.981 4.815
## 4615 2.000 -1.570 -0.070 -0.040 0.870 -0.712 4.059
## 4616 2.000 -1.000 -0.039 -0.025 1.080 0.064 3.246
## 4617 2.000 -0.955 0.071 0.050 1.965 1.012 5.978
## 4618 2.000 -1.260 -0.015 0.005 1.900 0.427 5.210
## 4619 2.000 -1.550 0.095 0.080 1.130 -0.520 3.806
## 4620 2.000 -0.815 0.073 0.120 0.930 -0.101 2.497
## 4621 2.000 -1.435 -0.055 -0.007 1.565 -0.068 3.936
## 4622 2.000 -1.390 -0.028 0.040 1.160 -0.314 2.712
## 4623 1.500 -1.100 0.000 0.070 0.790 -0.355 3.663
## 4624 2.000 -1.320 0.076 0.015 1.170 -0.509 3.236
## 4625 2.000 -1.635 0.016 0.015 1.105 -0.858 4.958
## 4626 2.000 -1.660 0.102 0.025 1.940 0.294 4.185
## 4627 2.000 -1.060 0.082 0.095 0.830 -0.853 3.724
## 4628 2.000 -0.905 0.083 0.095 0.865 -0.239 2.121
## 4629 2.000 -1.000 0.082 0.080 0.990 -0.066 2.163
## 4630 2.000 -1.120 0.147 0.020 1.320 0.395 3.729
## 4631 2.000 -1.630 0.168 0.110 1.580 0.086 3.489
## 4632 2.000 -1.170 0.194 0.230 1.870 0.430 3.003
## 4633 2.000 -0.870 0.305 0.255 1.570 0.327 2.974
## 4634 2.000 -1.010 0.378 0.340 2.040 0.332 2.785
## 4635 2.000 -1.395 0.396 0.350 1.955 0.218 3.177
## 4636 1.500 -0.980 0.169 0.110 1.100 -0.030 2.598
## 4637 2.000 -1.850 0.354 0.225 2.960 0.469 3.507
## 4638 2.000 -1.735 0.080 0.053 1.565 -0.308 4.150
## 4639 2.000 -0.810 0.108 0.040 1.160 0.223 2.724
## 4640 2.000 -0.995 0.045 -0.050 1.645 0.896 3.848
## 4641 2.000 -0.750 0.059 0.060 0.865 -0.130 2.578
## 4642 2.000 -0.590 0.198 0.130 1.150 0.521 2.998
## 4643 1.500 -1.120 0.134 0.180 1.300 -0.086 3.022
## 4644 3.000 -0.430 0.223 0.050 1.830 1.459 4.609
## 4645 2.000 -0.835 0.270 0.140 2.260 0.785 3.609
## 4646 2.000 -1.765 0.289 0.090 2.965 0.794 3.656
## 4647 Inf -2.285 0.217 0.035 2.525 0.309 3.618
## 4648 1.500 -1.210 -0.050 0.000 1.280 0.114 2.265
## 4649 2.500 -1.770 -0.072 0.000 1.760 0.412 4.066
## 4650 1.500 -1.075 0.026 0.000 1.565 0.725 3.839
## 4651 2.000 -1.390 0.001 0.045 0.970 -0.640 2.426
## 4652 2.000 -0.790 0.036 0.000 1.130 0.341 2.868
## 4653 2.000 -0.655 0.149 -0.003 1.205 0.650 2.594
## 4654 2.000 -1.790 0.164 0.000 2.730 0.881 5.591
## 4655 2.000 -2.530 0.284 0.175 4.110 0.760 5.827
## 4656 1.500 -1.000 0.125 0.040 1.570 0.469 3.494
## 4657 2.000 -0.975 0.053 0.055 1.150 0.036 3.161
## 4658 Inf -3.245 0.126 0.290 2.365 -0.526 3.173
## 4659 2.000 -0.825 0.138 0.122 1.045 0.102 1.948
## 4660 2.000 -1.500 0.248 0.310 1.970 -0.063 2.170
## 4661 2.000 -1.190 0.117 0.000 1.430 0.298 3.368
## 4662 1.500 -1.250 0.518 0.235 3.360 0.788 3.022
## 4663 2.500 -1.022 0.109 0.053 1.462 0.598 5.042
## 4664 2.000 -2.305 -0.040 -0.007 1.355 -0.446 3.111
## 4665 2.000 -1.715 0.030 0.025 0.925 -0.885 4.047
## 4666 2.000 -1.840 0.092 -0.010 2.600 0.636 4.562
## 4667 1.500 -0.685 0.110 0.095 1.100 0.335 3.012
## 4668 2.000 -1.305 0.065 0.130 1.035 -0.415 3.331
## 4669 2.500 -2.110 0.039 0.000 0.930 -1.430 6.820
## 4670 2.000 -2.730 -0.091 0.215 1.870 -0.434 2.044
## 4671 Inf -3.130 0.142 0.400 2.110 -0.473 2.694
## 4672 2.000 -2.935 -0.032 0.060 1.775 -0.557 3.231
## 4673 2.000 -0.760 0.137 0.085 1.560 0.459 2.596
## 4674 2.000 -1.040 -0.031 -0.022 0.780 -0.167 2.586
## 4675 1.500 -1.010 -0.028 0.000 0.920 -0.030 2.088
## 4676 2.000 -0.860 -0.033 -0.015 0.970 0.104 2.418
## 4677 2.000 -0.887 -0.033 -0.043 1.212 0.231 2.331
## 4678 Inf -0.705 0.084 0.070 0.965 0.123 2.683
## 4679 Inf -1.240 0.020 0.005 1.590 0.304 2.934
## 4680 2.000 -0.895 0.097 0.040 0.975 -0.102 2.311
## 4681 2.000 -0.890 0.123 0.130 1.050 -0.278 2.589
## 4682 1.500 -0.790 -0.095 -0.010 0.590 -0.081 2.285
## 4683 2.000 -1.295 0.133 0.025 1.445 0.153 2.505
## 4684 2.000 -1.230 0.009 -0.008 0.780 -0.392 3.331
## 4685 2.000 -0.917 -0.039 0.000 0.703 -0.287 2.729
## 4686 2.000 -1.530 0.029 0.040 1.120 -0.262 3.070
## 4687 3.000 -1.455 0.072 0.015 1.830 0.147 2.729
## 4688 2.000 -1.200 0.038 0.005 1.220 0.071 2.317
## 4689 2.000 -1.350 -0.054 -0.055 0.980 -0.098 2.151
## 4690 2.000 -2.510 -0.159 -0.015 1.320 -0.795 3.052
## 4691 Inf -1.245 -0.023 -0.055 1.795 0.510 3.095
## 4692 7.000 -1.120 0.079 0.005 1.320 -0.039 2.912
## 4693 2.000 -0.850 0.099 0.070 1.080 0.098 3.223
## 4694 2.000 -1.015 0.004 0.025 0.740 -0.444 3.600
## 4695 2.000 -2.200 0.000 0.255 1.740 -0.621 2.412
## 4696 2.000 -1.300 0.130 0.222 1.630 0.056 2.817
## 4697 2.000 -1.555 0.136 0.007 1.590 -0.033 2.618
## 4698 2.000 -1.590 0.799 0.185 3.815 0.511 2.056
## 4699 3.500 -2.980 1.297 0.165 5.585 0.157 1.662
## 4700 4.000 -2.955 1.768 0.300 6.935 0.189 1.548
## 4701 6.000 -3.120 1.600 0.325 7.105 0.136 1.508
## 4702 2.000 -0.970 0.158 0.045 1.350 0.069 2.234
## 4703 2.500 -1.470 0.065 -0.015 6.040 2.864 14.540
## 4704 15.000 -1.430 0.014 0.000 5.130 2.638 12.892
## 4705 5.000 -1.245 0.229 0.000 3.590 1.597 5.436
## 4706 3.000 -1.395 0.479 0.000 4.625 1.528 4.526
## 4707 2.000 -1.540 0.302 -0.025 3.510 0.801 3.015
## 4708 10.000 -1.830 0.218 0.000 3.570 0.574 2.919
## 4709 2.000 -1.460 0.005 0.035 1.100 -0.489 5.003
## 4710 2.000 -1.620 0.083 -0.020 2.615 0.607 2.707
## 4711 1.500 -0.550 0.047 0.000 1.040 0.574 3.492
## 4712 2.000 -0.690 0.047 0.060 0.890 -0.030 3.093
## 4713 2.000 -1.945 -0.024 -0.030 3.185 1.601 10.534
## 4714 2.000 -1.255 -0.063 -0.075 1.445 0.373 4.119
## 4715 11.000 -2.735 0.333 0.000 3.615 0.328 2.130
## 4716 8.000 -3.725 0.232 0.000 4.035 0.237 2.367
## 4717 17.000 -3.475 -0.027 0.000 3.275 0.175 3.451
## 4718 2.000 -0.815 0.057 -0.023 1.485 0.572 2.768
## 4719 3.000 -2.090 0.160 0.000 3.130 0.674 2.564
## 4720 2.000 -2.080 0.290 0.000 3.480 0.488 2.072
## 4721 Inf -1.845 0.308 0.192 2.555 0.149 2.347
## 4722 2.000 -1.250 -0.058 -0.020 0.730 -0.690 3.625
## 4723 2.000 -0.590 0.088 0.028 1.020 0.475 2.306
## 4724 2.000 -1.020 0.091 0.085 1.070 0.020 3.066
## 4725 2.000 -1.000 0.079 0.170 0.830 -0.573 3.038
## 4726 2.000 -1.480 0.283 0.330 1.550 -0.276 2.853
## 4727 2.000 -1.350 0.144 0.080 2.095 0.278 2.626
## 4728 2.000 -0.740 0.062 0.055 0.910 0.063 2.814
## 4729 1.500 -0.955 0.041 0.018 1.170 0.100 2.702
## 4730 3.000 -0.760 0.065 0.075 1.280 0.599 3.216
## 4731 2.000 -0.650 0.053 0.065 1.110 0.409 2.730
## 4732 2.000 -1.720 0.126 0.165 1.910 -0.006 3.162
## 4733 2.000 -1.435 0.528 0.075 3.995 0.785 2.892
## 4734 2.000 -1.795 0.089 0.210 1.600 -0.290 3.547
## 4735 2.000 -0.660 0.067 0.080 1.040 0.176 3.405
## 4736 2.000 -1.760 0.025 0.095 0.690 -1.550 6.417
## 4737 2.000 -1.650 0.040 0.115 0.880 -1.377 6.607
## 4738 2.000 -0.895 0.011 -0.082 3.095 2.268 10.847
## 4739 3.000 -0.710 0.123 0.060 1.330 0.484 2.566
## 4740 2.000 -0.800 -0.007 0.010 0.980 0.015 2.736
## 4741 2.000 -1.065 0.094 0.170 1.510 -0.197 2.723
## 4742 3.000 -1.045 0.090 0.135 1.055 -0.311 2.355
## 4743 2.000 -0.800 0.045 0.070 0.870 -0.077 2.958
## 4744 2.000 -1.010 0.129 0.120 1.070 -0.249 2.566
## 4745 1.500 -0.900 0.164 0.050 1.690 0.500 2.916
## 4746 1.500 -0.490 0.019 -0.005 1.050 0.860 3.364
## 4747 2.000 -0.910 0.073 0.000 1.190 0.028 3.363
## 4748 2.000 -1.130 -0.058 -0.040 0.780 -0.097 3.175
## 4749 2.000 -1.260 -0.014 -0.050 0.880 -0.246 3.747
## 4750 2.000 -0.588 0.057 -0.028 0.873 0.663 3.585
## 4751 2.000 -0.820 -0.021 -0.060 0.810 0.096 2.698
## 4752 2.000 -0.705 0.017 -0.015 1.035 0.390 2.470
## 4753 1.500 -0.490 0.087 -0.015 1.050 0.675 2.516
## 4754 2.000 -0.730 0.037 -0.050 0.970 0.288 2.085
## 4755 2.000 -0.470 0.025 -0.030 0.710 0.463 2.232
## 4756 2.000 -0.520 -0.010 -0.025 0.930 0.765 3.829
## 4757 2.000 -0.850 -0.003 -0.010 0.700 -0.125 2.658
## 4758 1.500 -0.930 -0.039 0.000 1.040 0.207 3.525
## 4759 2.000 -3.065 0.005 0.080 2.765 -0.047 2.020
## 4760 2.000 -1.020 -0.060 -0.025 1.045 0.020 2.915
## 4761 2.000 -1.000 -0.080 -0.050 1.220 0.301 3.833
## 4762 2.000 -1.135 -0.061 0.020 0.875 -0.278 2.660
## 4763 2.000 -0.835 -0.031 0.090 0.705 -0.338 1.974
## 4764 12.000 -1.000 0.001 0.000 0.770 -0.411 3.964
## 4765 1.500 -1.330 -0.009 0.010 1.540 0.473 5.158
## 4766 2.000 -1.735 -0.046 0.035 0.635 -1.831 7.668
## 4767 2.000 -0.840 -0.033 0.005 0.600 -0.450 2.636
## 4768 2.000 -1.690 -0.109 -0.062 0.610 -1.226 5.122
## 4769 2.000 -0.970 -0.065 -0.140 1.520 0.819 4.411
## 4770 Inf -2.945 -0.205 -0.010 0.915 -1.745 6.546
## 4771 2.000 -1.120 -0.035 -0.030 1.070 -0.111 3.159
## 4772 2.000 -1.215 -0.044 -0.020 1.115 -0.142 2.604
## 4773 1.500 -0.505 0.062 0.075 0.975 0.765 3.707
## 4774 1.500 -0.590 0.072 0.110 0.590 -0.186 1.971
## 4775 1.500 -0.910 -0.004 -0.020 1.070 0.257 2.825
## 4776 2.000 -0.530 -0.020 0.000 0.500 -0.169 2.618
## 4777 1.500 -0.645 0.014 0.010 1.030 0.457 3.911
## 4778 1.500 -0.525 0.079 -0.005 1.245 0.899 3.558
## 4779 2.000 -0.880 0.009 0.000 1.030 0.187 2.647
## 4780 2.000 -2.410 -0.107 0.000 0.960 -1.621 7.660
## 4781 2.000 -0.810 0.038 0.030 1.170 0.230 2.933
## 4782 1.500 -0.930 -0.030 0.000 0.620 -0.360 2.141
## 4783 2.000 -1.575 0.050 -0.030 1.315 0.058 3.333
## 4784 2.000 -0.590 0.077 0.000 0.840 0.426 2.181
## 4785 2.000 -0.960 -0.040 -0.120 0.850 0.066 2.385
## 4786 3.000 -1.040 -0.029 0.000 1.190 -0.012 3.535
## 4787 2.000 -0.860 -0.047 0.005 0.805 -0.183 2.494
## 4788 2.000 -1.090 -0.002 0.070 0.790 -0.473 3.135
## 4789 1.500 -1.310 -0.049 -0.045 0.940 -0.216 3.499
## 4790 1.500 -1.080 0.030 0.000 1.390 0.068 3.088
## 4791 2.000 -1.180 -0.039 -0.030 0.840 -0.494 2.956
## 4792 2.000 -1.435 -0.009 0.000 1.200 -0.464 4.642
## 4793 2.000 -0.785 0.086 0.092 0.815 -0.387 2.706
## 4794 2.000 -1.370 0.073 0.020 1.790 0.356 4.035
## 4795 2.000 -1.540 -0.021 0.000 1.260 -0.264 2.967
## 4796 2.500 -1.040 -0.119 -0.018 1.180 0.100 3.860
## 4797 Inf -1.195 -0.047 -0.075 0.975 -0.130 2.585
## 4798 1.500 -0.590 0.040 0.010 1.290 0.982 4.746
## 4799 2.000 -0.780 0.139 0.050 1.205 0.175 2.759
## 4800 2.000 -0.750 0.100 0.085 1.060 0.131 2.259
## 4801 2.000 -0.795 -0.059 0.018 0.885 0.164 2.469
## 4802 1.500 -0.670 0.120 0.105 1.445 1.378 6.207
## 4803 1.500 -0.840 0.134 0.120 1.020 0.064 3.054
## 4804 2.000 -1.820 0.596 0.030 3.100 0.437 2.221
## 4805 3.000 -2.100 -0.021 -0.055 2.210 0.094 2.857
## 4806 2.000 -0.718 0.050 0.022 1.442 0.834 4.359
## 4807 1.500 -1.010 0.003 0.070 1.120 -0.154 2.440
## 4808 1.500 -2.810 -0.059 0.055 1.140 -1.872 6.748
## 4809 1.333 -1.115 0.078 0.000 1.340 0.214 3.808
## 4810 2.000 -0.880 0.012 -0.020 1.135 0.207 2.325
## 4811 2.000 -4.470 -0.114 -0.045 3.790 -0.361 7.288
## 4812 Inf -1.030 -0.039 0.060 0.550 -0.677 2.658
## 4813 Inf -1.190 0.109 0.045 1.670 0.189 2.736
## 4814 2.000 -1.060 0.057 -0.103 1.400 0.415 3.176
## 4815 2.000 -1.180 -0.046 0.000 0.940 -0.369 3.536
## 4816 1.500 -1.020 -0.087 -0.020 0.550 -0.923 4.539
## 4817 2.000 -1.795 -0.063 -0.002 1.355 -0.342 3.479
## 4818 1.500 -1.810 -0.096 0.005 0.660 -1.708 6.803
## 4819 2.000 -0.890 -0.013 0.000 1.200 0.351 4.031
## 4820 2.500 -1.935 0.023 0.000 1.745 -0.054 2.717
## 4821 2.000 -2.150 -0.051 0.000 0.810 -1.636 6.969
## 4822 2.000 -0.770 -0.006 0.045 1.250 0.289 2.709
## 4823 2.000 -1.240 0.246 0.000 2.410 1.045 4.084
## 4824 2.000 -1.200 0.037 0.050 1.660 0.272 2.765
## 4825 2.000 -1.220 0.146 0.140 1.740 0.209 2.785
## 4826 1.500 -0.770 0.031 0.055 0.730 -0.239 1.876
## 4827 2.000 -0.950 0.054 0.000 2.020 1.102 5.725
## 4828 2.000 -1.220 0.029 0.005 2.060 0.803 5.145
## 4829 1.500 -0.870 0.063 0.000 1.420 1.282 4.768
## 4830 2.000 -0.675 0.210 0.000 2.635 1.506 5.903
## 4831 2.500 -0.370 0.139 0.000 1.940 2.064 8.646
## 4832 2.000 -0.715 0.052 -0.020 1.835 1.141 4.669
## 4833 2.000 -0.535 0.144 0.002 2.155 2.133 8.107
## 4834 2.000 -1.340 0.014 -0.050 2.520 1.093 5.082
## 4835 2.333 -1.175 0.022 -0.010 2.245 1.428 7.244
## 4836 2.000 -0.882 0.040 0.067 1.057 0.093 2.421
## 4837 2.000 -1.335 0.000 0.000 1.245 -0.245 3.226
## 4838 2.000 -1.145 0.040 0.000 1.525 0.295 3.406
## 4839 2.000 -1.250 0.054 0.120 1.200 -0.229 2.091
## 4840 1.500 -0.650 0.128 0.010 1.810 0.881 3.725
## 4841 2.000 -1.150 -0.001 0.000 0.790 -0.238 2.724
## 4842 2.000 -1.050 -0.073 -0.040 0.960 -0.044 2.875
## 4843 2.000 -2.510 -0.077 0.030 1.520 -0.757 4.044
## 4844 Inf -3.450 -0.097 0.075 1.060 -1.697 7.623
## 4845 Inf -5.715 -0.381 0.075 2.185 -1.725 5.244
## 4846 Inf -1.270 0.191 0.125 2.040 0.104 2.417
## 4847 2.000 -1.130 0.178 0.095 2.280 0.507 3.390
## 4848 2.000 -1.055 0.060 0.025 1.395 0.215 2.569
## 4849 2.000 -1.440 0.191 0.222 1.600 -0.153 3.104
## 4850 2.000 -1.060 0.048 0.038 1.080 -0.023 2.797
## 4851 2.000 -1.025 0.096 -0.070 1.785 0.729 2.925
## 4852 2.000 -1.550 0.009 0.060 1.480 -0.108 3.744
## 4853 2.500 -0.770 0.101 0.000 1.330 0.565 2.809
## 4854 2.000 -0.885 0.088 0.030 1.045 0.374 2.850
## 4855 2.000 -1.310 -0.044 -0.035 1.280 0.223 3.010
## 4856 Inf -1.730 -0.009 -0.070 0.920 -0.496 3.070
## 4857 2.000 -1.990 -0.217 -0.235 0.930 -0.618 2.998
## 4858 2.000 -2.070 -0.144 -0.085 0.860 -0.856 3.483
## 4859 2.000 -2.015 -0.165 -0.040 0.835 -0.812 3.142
## 4860 2.000 -1.725 -0.094 0.000 0.925 -0.979 4.155
## 4861 2.000 -1.530 -0.063 -0.005 0.870 -0.611 3.958
## 4862 2.000 -0.885 -0.032 0.010 0.745 -0.243 2.440
## 4863 2.000 -0.975 0.031 -0.030 1.205 0.380 2.787
## 4864 2.000 -1.115 -0.051 0.000 0.805 -0.304 2.305
## 4865 Inf -1.455 0.045 0.065 1.335 -0.281 3.891
## 4866 1.500 -1.265 0.078 0.110 1.215 -0.283 2.761
## 4867 2.000 -0.930 -0.027 -0.020 0.790 -0.142 2.717
## 4868 2.000 -0.605 0.070 0.035 1.190 0.680 3.457
## 4869 2.000 -0.930 0.002 0.005 1.040 0.241 2.768
## 4870 2.000 -1.335 0.062 -0.005 1.355 0.095 3.045
## 4871 2.000 -1.345 -0.045 -0.045 1.205 0.041 2.914
## 4872 2.000 -1.470 -0.047 -0.030 1.180 -0.058 2.594
## 4873 2.000 -0.895 -0.087 -0.180 0.895 0.415 2.510
## 4874 2.000 -0.950 -0.087 -0.035 1.000 0.280 3.005
## 4875 2.000 -1.300 0.056 -0.095 1.270 0.062 2.297
## 4876 2.000 -1.415 0.047 0.050 1.210 -0.305 2.778
## 4877 1.500 -1.260 0.107 0.055 1.440 -0.015 3.692
## 4878 2.000 -0.740 0.047 -0.005 1.340 0.896 4.412
## 4879 1.500 -1.210 -0.043 -0.050 1.520 0.705 5.547
## 4880 Inf -0.970 -0.013 -0.005 0.950 0.100 2.099
## 4881 1.500 -1.890 -0.075 0.070 1.165 -0.594 3.659
## 4882 2.000 -2.040 -0.040 0.030 1.080 -0.735 3.734
## 4883 3.000 -2.050 0.187 0.080 1.660 -0.570 3.705
## 4884 2.000 -1.295 0.104 -0.002 1.465 0.244 3.221
## 4885 2.000 -1.100 -0.002 -0.040 1.050 0.220 3.178
## 4886 2.000 -0.870 0.043 0.010 0.840 -0.029 2.740
## 4887 2.000 -1.230 -0.036 -0.010 0.910 0.078 3.472
## 4888 2.000 -1.000 0.099 0.000 1.420 0.328 2.715
## 4889 2.000 -1.880 -0.006 0.235 1.820 -0.529 2.542
## 4890 1.500 -1.060 0.022 0.000 0.965 -0.046 3.640
## 4891 1.500 -0.748 0.060 -0.001 1.133 0.772 3.190
## 4892 1.500 -0.690 0.017 -0.015 0.610 -0.311 2.313
## 4893 2.000 -1.320 -0.085 -0.075 0.780 -0.140 2.329
## 4894 3.000 -1.270 0.013 0.015 0.950 -0.099 2.380
## 4895 2.000 -1.120 0.049 0.035 1.130 -0.090 3.069
## 4896 2.000 -0.865 0.058 0.045 0.905 -0.217 2.479
## 4897 3.000 -2.150 -0.037 0.005 1.080 -0.994 5.533
## 4898 2.000 -1.630 -0.162 -0.015 1.150 -0.323 2.398
## 4899 2.000 -1.065 -0.007 -0.010 1.145 0.379 4.581
## 4900 2.000 -0.410 0.019 -0.035 0.900 1.037 4.246
## 4901 2.000 -1.410 -0.138 -0.060 1.430 0.087 2.321
## 4902 2.000 -1.055 0.021 -0.045 1.565 0.501 3.172
## 4903 2.000 -0.930 0.011 -0.020 0.920 -0.012 1.809
## 4904 2.000 -1.040 -0.161 -0.125 0.640 -0.153 2.065
## 4905 1.500 -1.245 -0.006 0.082 0.695 -0.784 2.975
## 4906 2.000 -1.215 0.048 0.120 0.935 -0.410 2.962
## 4907 2.000 -0.690 0.002 0.013 0.780 -0.082 2.726
## 4908 1.500 -0.750 0.004 0.000 0.770 0.431 3.579
## 4909 1.500 -1.060 -0.032 0.000 0.750 -0.233 4.205
## 4910 Inf -1.045 -0.086 -0.095 0.900 0.052 1.843
## 4911 2.000 -1.690 0.023 0.055 1.400 -0.611 4.095
## 4912 1.500 -0.940 0.178 0.065 1.710 0.380 2.623
## 4913 2.000 -0.745 0.001 0.035 0.885 -0.191 2.994
## 4914 Inf -1.400 0.099 0.020 2.050 0.326 3.468
## 4915 2.000 -1.565 -0.030 0.000 1.375 -0.392 4.790
## 4916 2.000 -0.560 -0.027 -0.005 0.620 0.155 2.436
## 4917 1.500 -0.870 0.019 -0.035 1.435 0.670 5.238
## 4918 4.000 -1.600 0.016 0.000 2.060 0.365 3.391
## 4919 2.000 -1.315 0.103 0.065 2.010 0.344 2.779
## 4920 1.500 -1.610 0.040 0.145 1.490 -0.473 3.624
## 4921 2.000 -0.760 0.002 -0.015 0.880 0.115 2.198
## 4922 1.500 -1.090 0.001 0.050 0.770 -0.615 2.681
## 4923 2.000 -1.680 -0.013 -0.015 0.950 -0.427 2.692
## 4924 1.500 -1.615 -0.064 0.000 1.055 -0.185 2.124
## 4925 3.000 -1.165 -0.065 -0.015 0.715 -0.607 3.195
## 4926 2.000 -0.935 0.009 0.015 1.225 0.059 3.140
## 4927 2.000 -0.755 0.008 -0.002 1.255 0.463 3.345
## 4928 2.000 -1.380 0.054 0.025 0.990 -0.500 3.244
## 4929 1.500 -0.660 0.170 0.030 1.830 1.157 5.129
## 4930 2.000 -2.930 -0.034 0.255 2.580 -0.237 2.568
## 4931 2.500 -1.180 0.014 0.000 0.930 -0.597 3.202
## 4932 2.000 -1.875 -0.129 -0.012 1.575 -0.312 2.551
## 4933 2.000 -1.110 0.109 0.110 1.560 0.059 2.112
## 4934 1.500 -0.830 -0.004 -0.007 0.900 0.171 2.467
## 4935 Inf -1.025 -0.058 0.000 0.960 0.047 2.495
## 4936 2.000 -3.150 -0.136 0.015 1.950 -1.012 5.898
## 4937 2.000 -1.510 -0.010 -0.065 1.140 -0.152 3.095
## 4938 1.500 -0.690 0.059 -0.015 1.000 0.400 3.097
## 4939 2.000 -0.700 0.086 -0.025 1.150 0.446 2.076
## 4940 1.500 -0.710 0.079 0.055 1.050 0.059 2.641
## 4941 1.500 -0.990 0.127 0.000 1.610 0.481 2.753
## 4942 Inf -1.695 -0.115 -0.070 0.975 -0.395 3.895
## 4943 2.000 -2.055 -0.127 -0.015 1.275 -0.780 4.017
## 4944 8.000 -0.900 0.054 0.000 1.380 0.771 3.482
## 4945 2.000 -1.455 0.004 0.000 1.575 0.272 2.706
## 4946 3.000 -1.955 0.023 0.000 1.475 -0.088 3.455
## 4947 2.000 -1.340 -0.103 -0.010 1.350 0.024 2.602
## 4948 1.500 -0.820 -0.049 0.000 0.720 -0.111 2.284
## 4949 2.000 -1.160 0.034 0.040 3.760 2.601 13.112
## 4950 2.000 -1.240 0.172 0.020 3.360 1.746 8.050
## 4951 2.000 -0.580 0.085 0.025 1.230 0.548 3.410
## 4952 2.000 -1.310 0.039 0.065 1.370 -0.255 3.157
## 4953 2.000 -1.890 -0.060 -0.010 1.530 -0.368 3.659
## 4954 2.000 -2.260 -0.063 0.120 2.830 0.057 4.689
## 4955 3.000 -1.010 0.068 -0.020 2.800 1.631 6.111
## 4956 Inf -1.665 -0.129 -0.195 1.680 0.064 2.966
## 4957 2.000 -2.105 -0.204 -0.110 1.440 -0.356 2.913
## 4958 2.000 -0.670 0.059 -0.005 0.880 0.579 2.855
## 4959 2.000 -0.810 0.067 0.000 1.330 0.548 4.121
## 4960 2.000 -0.800 0.010 0.000 1.070 0.367 4.160
## 4961 2.000 -1.100 0.003 -0.055 0.960 0.138 2.490
## 4962 2.000 -1.190 0.050 -0.015 3.010 1.191 4.807
## 4963 2.000 -2.345 -0.036 -0.007 1.985 -0.019 2.652
## 4964 4.000 -2.010 -0.070 0.000 2.150 0.127 2.976
## 4965 2.000 -1.430 0.125 0.020 1.175 -0.174 2.185
## 4966 1.500 -1.160 -0.013 0.090 1.240 0.051 3.459
## 4967 2.000 -1.280 -0.028 0.025 1.400 0.144 3.073
## 4968 2.000 -1.300 -0.017 0.065 1.510 0.039 3.105
## 4969 2.000 -1.230 -0.031 -0.035 1.350 0.220 3.048
## 4970 2.000 -0.810 0.046 0.000 0.675 -0.270 3.150
## 4971 2.000 -0.370 0.018 0.015 0.405 -0.079 2.216
## 4972 2.000 -0.830 0.110 0.130 1.250 0.236 3.746
## 4973 2.000 -1.645 0.025 0.042 0.960 -0.654 3.749
## 4974 2.000 -1.130 0.083 0.165 1.315 -0.109 2.766
## 4975 2.000 -0.455 0.116 0.078 1.045 0.739 3.501
## 4976 Inf -0.845 0.130 0.020 1.975 0.772 4.136
## 4977 2.000 -0.720 -0.014 0.000 0.790 0.121 2.441
## 4978 2.000 -0.825 0.059 0.028 1.715 0.877 4.343
## 4979 2.000 -0.790 0.111 -0.005 1.110 0.612 2.700
## 4980 1.500 -1.005 0.136 0.018 1.480 0.811 3.623
## 4981 2.000 -1.585 0.121 -0.028 1.525 0.154 2.816
## 4982 2.000 -1.790 0.052 0.045 1.955 0.175 3.067
## 4983 2.000 -1.300 0.116 0.050 1.520 -0.141 2.185
## 4984 2.000 -2.080 0.173 0.015 1.805 -0.194 3.303
## 4985 1.500 -0.655 0.072 0.025 0.885 0.176 2.701
## 4986 2.000 -0.815 0.056 0.030 1.305 0.639 4.410
## 4987 2.000 -1.060 -0.035 0.025 0.870 -0.457 2.869
## 4988 2.000 -1.595 -0.079 -0.045 0.875 -0.549 3.014
## 4989 2.000 -1.455 0.008 0.020 0.745 -0.789 4.139
## 4990 2.000 -2.135 -0.237 0.000 1.295 -0.375 2.338
## 4991 2.000 -0.750 0.112 0.025 1.260 0.661 2.950
## 4992 2.000 -0.750 -0.080 -0.080 0.510 -0.141 2.276
## 4993 2.000 -1.155 -0.115 -0.020 0.815 -0.599 3.175
## 4994 2.000 -0.615 0.017 -0.015 0.705 0.133 3.009
## 4995 2.000 -1.390 -0.011 -0.057 1.210 0.258 3.165
## 4996 Inf -0.772 0.067 0.085 1.137 0.197 2.492
## 4997 2.000 -1.110 0.023 0.050 1.080 -0.253 3.677
## 4998 2.000 -0.865 0.046 0.035 1.425 0.490 4.485
## 4999 2.000 -0.740 0.084 0.080 1.140 0.501 2.846
## 5000 2.000 -0.640 0.062 0.020 0.960 0.569 3.348
## 5001 2.000 -0.740 0.004 0.035 0.760 -0.074 2.489
## 5002 2.000 -0.810 0.050 0.070 0.805 -0.180 2.462
## 5003 2.000 -0.725 0.026 0.040 0.945 0.133 3.094
## 5004 2.000 -0.660 0.074 0.055 0.810 0.178 2.785
## 5005 2.000 -0.755 0.071 0.020 0.805 0.093 2.426
## 5006 1.500 -0.480 0.003 0.000 0.780 0.454 2.894
## 5007 3.000 -0.930 0.041 -0.015 1.110 0.267 2.792
## 5008 2.000 -1.130 -0.030 0.035 0.680 -0.555 3.189
## 5009 2.000 -0.755 0.060 0.125 0.955 0.072 2.389
## 5010 2.000 -0.785 0.035 0.100 0.745 -0.217 1.928
## 5011 2.000 -0.570 0.172 0.115 1.390 0.820 3.352
## 5012 2.000 -0.605 0.162 0.070 0.905 0.105 2.109
## 5013 2.000 -0.605 0.079 0.045 0.885 0.178 2.114
## 5014 2.000 -1.160 0.015 0.000 1.065 -0.426 3.108
## 5015 2.000 -0.855 -0.011 -0.012 0.805 0.023 2.631
## 5016 1.500 -1.110 -0.047 0.000 0.660 -0.913 3.760
## 5017 2.000 -1.110 0.040 0.070 0.790 -0.651 3.714
## 5018 2.000 -0.940 0.019 0.030 1.030 0.096 2.389
## 5019 3.000 -0.670 0.021 -0.035 0.970 0.411 2.145
## 5020 2.000 -1.735 0.052 -0.002 1.085 -0.768 5.083
## 5021 2.000 -1.065 0.021 0.000 0.905 -0.022 2.088
## 5022 2.000 -0.843 0.024 0.009 0.877 0.089 2.978
## 5023 2.000 -1.400 0.037 0.045 1.110 -0.375 2.452
## 5024 2.000 -1.100 0.071 0.130 0.940 -0.407 3.383
## 5025 1.500 -0.580 -0.009 -0.035 0.700 0.338 2.587
## 5026 2.000 -1.180 0.051 0.060 1.180 -0.063 3.092
## 5027 2.000 -0.743 0.099 0.000 1.827 1.019 4.660
## 5028 2.000 -1.480 -0.027 0.000 1.080 -0.563 3.180
## 5029 2.000 -1.270 0.077 0.005 1.460 0.348 4.372
## 5030 2.000 -1.165 0.042 0.095 1.170 -0.396 2.999
## 5031 1.333 -0.580 0.025 0.005 0.830 0.645 3.700
## 5032 1.500 -1.380 0.075 0.065 1.280 -0.187 4.308
## 5033 2.000 -1.345 0.063 0.060 1.285 -0.307 4.130
## 5034 1.500 -0.690 0.050 0.050 0.850 -0.211 2.718
## 5035 6.000 -0.670 0.068 0.005 0.910 0.319 2.794
## 5036 2.000 -0.320 0.082 0.050 0.830 0.855 4.182
## 5037 2.000 -0.780 0.025 0.060 1.020 0.209 4.137
## 5038 2.000 -1.200 0.040 0.020 0.780 -0.306 2.822
## 5039 2.000 -0.940 0.063 0.010 1.220 0.233 2.890
## 5040 2.000 -1.740 -0.045 -0.158 1.500 0.048 2.272
## 5041 2.000 -1.410 -0.077 -0.082 1.160 -0.046 3.187
## 5042 2.000 -1.327 -0.100 -0.053 0.862 0.003 3.115
## 5043 2.000 -1.600 -0.106 -0.040 1.950 0.411 4.559
## 5044 Inf -1.135 0.058 -0.090 2.185 0.778 3.832
## 5045 2.000 -0.895 0.034 -0.045 1.765 0.870 4.089
## 5046 2.000 -0.945 0.031 -0.002 0.995 0.262 3.005
## 5047 1.500 -0.890 -0.013 -0.010 1.230 0.511 3.166
## 5048 2.000 -1.180 -0.094 -0.035 0.650 -0.212 2.478
## 5049 2.000 -1.305 -0.022 -0.078 1.640 0.451 3.277
## 5050 2.000 -1.087 -0.178 -0.102 0.693 -0.251 2.069
## 5051 2.000 -1.240 -0.147 -0.075 1.380 0.112 2.873
## 5052 2.000 -0.945 0.018 -0.048 1.395 0.641 2.820
## 5053 2.000 -0.870 0.047 0.000 1.450 0.879 4.846
## 5054 1.333 -0.645 0.264 0.080 2.070 1.187 3.914
## 5055 2.000 -0.760 0.083 0.110 1.205 0.147 2.916
## 5056 2.000 -0.850 0.046 0.020 0.700 -0.219 2.524
## 5057 3.000 -1.245 0.005 0.022 0.965 -0.411 2.571
## 5058 2.000 -0.810 0.050 0.025 0.840 0.187 3.036
## 5059 2.000 -1.180 0.102 0.075 1.520 -0.043 2.144
## 5060 2.000 -2.160 0.028 0.010 2.260 -0.173 1.856
## 5061 2.000 -0.740 0.044 0.025 1.190 0.589 3.593
## 5062 2.000 -0.895 0.052 -0.007 1.125 0.615 3.610
## 5063 2.000 -0.960 -0.002 -0.005 1.090 0.044 2.526
## 5064 2.000 -0.750 0.103 -0.005 1.310 0.593 2.628
## 5065 2.000 -0.680 0.025 0.005 0.700 -0.021 3.612
## 5066 2.000 -0.690 -0.011 -0.040 0.870 0.363 2.666
## 5067 2.000 -0.590 -0.023 -0.020 0.690 0.465 2.700
## 5068 3.000 -1.000 -0.038 0.005 0.730 -0.504 3.322
## 5069 1.333 -0.755 0.116 0.000 3.425 2.387 8.637
## 5070 2.000 -0.930 0.056 0.030 1.585 0.850 4.080
## 5071 2.000 -1.200 0.045 0.030 1.475 0.448 6.288
## 5072 Inf -1.120 0.150 0.125 1.700 0.397 2.693
## 5073 2.000 -0.600 0.070 0.005 1.230 0.963 3.320
## 5074 2.000 -0.930 0.098 0.005 1.630 0.453 3.841
## 5075 3.000 -0.810 0.087 0.000 1.540 0.761 4.455
## 5076 1.500 -0.800 0.036 0.015 0.730 -0.098 2.793
## 5077 2.000 -0.980 0.014 0.025 0.810 -0.348 2.926
## 5078 2.000 -0.915 0.053 0.018 0.795 -0.211 2.916
## 5079 2.000 -0.825 0.011 -0.085 1.335 0.877 3.550
## 5080 2.000 -0.595 0.016 -0.010 0.615 0.185 2.655
## 5081 2.000 -0.790 0.035 0.040 0.770 -0.419 3.635
## 5082 2.000 -0.740 -0.009 0.035 0.480 -0.533 2.359
## 5083 2.000 -0.620 -0.013 -0.085 0.820 0.479 2.838
## 5084 2.000 -0.995 0.073 0.000 1.655 0.458 2.834
## 5085 5.000 -1.770 0.421 0.000 3.910 1.027 3.472
## 5086 2.000 -0.670 0.074 0.045 0.825 -0.014 2.194
## 5087 2.000 -0.760 0.026 0.005 0.990 0.041 2.307
## 5088 2.000 -1.205 0.003 0.035 0.920 -0.427 3.568
## 5089 1.500 -1.035 0.059 0.040 1.125 -0.033 2.090
## 5090 2.000 -0.785 0.061 0.010 0.990 0.152 2.719
## 5091 1.500 -0.680 -0.014 0.038 0.570 -0.251 2.275
## 5092 2.000 -0.922 0.059 0.000 1.328 0.550 3.416
## 5093 2.000 -1.000 -0.096 -0.010 0.860 -0.025 2.932
## 5094 1.500 -0.605 -0.007 -0.020 0.775 0.475 3.002
## 5095 2.000 -1.700 -0.044 -0.015 0.960 -1.047 6.868
## 5096 1.500 -0.875 -0.091 -0.065 0.395 -0.394 2.283
## 5097 2.000 -0.735 -0.039 -0.040 0.545 -0.323 2.695
## 5098 1.500 -0.805 0.019 0.020 0.945 0.266 4.145
## 5099 Inf -0.495 0.050 0.000 0.985 0.627 3.566
## 5100 2.000 -0.980 -0.104 -0.080 0.810 -0.031 2.771
## 5101 2.000 -0.890 -0.063 -0.010 0.680 -0.119 2.664
## 5102 1.500 -0.950 -0.065 -0.005 0.520 -0.598 2.703
## 5103 1.500 -0.880 0.017 -0.025 1.040 0.640 4.343
## 5104 Inf -0.930 0.034 0.040 1.170 0.165 2.543
## 5105 2.000 -1.002 -0.008 0.000 0.897 0.085 3.074
## 5106 Inf -1.115 -0.117 -0.130 0.775 -0.073 2.628
## 5107 2.000 -1.495 -0.138 -0.090 0.955 -0.433 3.773
## 5108 2.000 -0.990 -0.023 -0.015 1.040 0.405 4.138
## 5109 1.500 -1.585 0.040 0.045 0.985 -0.584 4.345
## 5110 2.000 -1.110 -0.027 -0.040 1.060 0.098 1.941
## 5111 2.000 -0.690 -0.007 0.000 0.880 -0.015 2.787
## 5112 1.500 -0.760 0.078 0.070 0.825 0.015 2.724
## 5113 2.000 -0.550 -0.017 -0.050 0.740 0.405 2.400
## 5114 1.500 -0.710 0.003 0.005 0.945 0.075 3.848
## 5115 2.000 -0.640 0.004 0.010 0.650 -0.115 2.415
## 5116 2.000 -0.980 -0.039 -0.065 1.060 0.476 3.762
## 5117 1.500 -0.710 0.046 0.070 0.715 -0.320 3.271
## 5118 2.000 -0.720 0.005 0.020 0.610 -0.274 3.104
## 5119 2.000 -0.920 0.054 0.075 0.750 -0.231 2.335
## 5120 2.000 -1.200 -0.066 0.010 0.820 -0.244 2.649
## 5121 Inf -0.900 -0.001 -0.065 1.345 0.468 2.771
## 5122 2.000 -0.730 0.032 0.005 0.970 0.118 2.143
## 5123 2.000 -0.905 0.138 0.140 1.615 0.339 3.411
## 5124 1.500 -0.595 0.047 0.015 0.935 0.259 3.446
## 5125 2.000 -0.470 0.085 0.045 0.940 0.481 2.891
## 5126 2.000 -0.945 0.094 0.100 0.835 -0.313 2.820
## 5127 2.000 -0.620 0.084 0.045 0.980 0.465 3.103
## 5128 1.500 -0.700 0.073 0.015 0.940 0.149 2.393
## 5129 2.000 -0.978 -0.019 -0.038 1.262 0.509 3.491
## 5130 2.000 -1.250 -0.089 -0.075 0.680 -0.237 2.534
## 5131 2.000 -1.055 -0.133 -0.185 1.895 0.867 4.648
## 5132 1.500 -0.935 0.005 -0.040 0.935 0.176 2.377
## 5133 2.000 -1.050 -0.058 -0.055 0.900 -0.013 2.426
## 5134 1.500 -0.925 -0.105 -0.165 0.700 0.111 2.668
## 5135 3.000 -0.850 0.126 0.000 1.170 0.376 2.459
## 5136 2.000 -0.785 0.056 0.105 1.205 0.145 2.369
## 5137 2.000 -0.750 0.122 0.175 0.935 -0.044 2.339
## 5138 2.000 -1.290 0.171 0.090 1.580 -0.053 2.900
## 5139 2.000 -0.850 0.127 0.075 1.150 -0.063 2.969
## 5140 2.000 -0.790 0.085 0.030 1.600 0.503 3.289
## 5141 2.000 -0.840 0.023 -0.110 1.560 0.906 3.043
## 5142 Inf -2.080 0.330 0.030 4.450 0.823 2.955
## 5143 Inf -0.890 -0.021 0.000 0.910 0.048 2.470
## 5144 1.500 -0.880 -0.046 0.000 1.240 0.338 4.129
## 5145 3.000 -1.070 0.011 0.005 1.260 0.025 2.460
## 5146 2.000 -1.125 -0.010 -0.020 1.120 -0.166 2.561
## 5147 2.000 -1.045 -0.071 -0.010 1.070 -0.023 3.145
## 5148 2.000 -0.990 -0.014 -0.005 0.950 -0.149 2.327
## 5149 2.000 -0.870 -0.019 0.020 1.020 -0.009 2.503
## 5150 2.000 -0.950 -0.042 -0.005 1.180 0.154 2.546
## 5151 2.000 -0.940 0.001 -0.053 1.460 0.614 4.596
## 5152 2.000 -0.460 0.129 0.038 1.610 1.233 4.627
## 5153 2.000 -1.350 0.144 0.050 2.930 1.269 8.006
## 5154 2.000 -1.285 -0.026 0.015 0.905 -0.619 3.426
## 5155 2.000 -0.870 0.023 -0.050 1.270 0.566 4.244
## 5156 2.000 -0.745 0.028 0.025 0.910 -0.208 2.659
## 5157 2.000 -0.785 0.017 -0.045 1.165 0.682 3.058
## 5158 1.500 -1.230 0.005 0.000 1.220 0.095 4.908
## 5159 2.000 -0.810 0.007 -0.085 1.320 0.903 3.512
## 5160 2.000 -0.640 0.015 0.015 0.750 0.177 2.267
## 5161 2.000 -0.660 -0.068 -0.055 0.630 0.063 2.324
## 5162 2.000 -0.490 0.029 -0.040 1.060 0.843 3.099
## 5163 2.000 -0.815 -0.097 -0.025 0.700 -0.264 2.215
## 5164 2.000 -1.040 -0.016 0.010 0.790 -0.157 2.377
## 5165 2.000 -0.890 0.033 0.045 1.190 0.033 2.643
## 5166 2.000 -0.650 -0.004 -0.002 0.730 0.002 3.574
## 5167 2.000 -0.675 0.056 -0.038 1.375 0.760 3.174
## 5168 2.000 -1.115 -0.043 0.030 1.030 -0.517 4.096
## 5169 2.000 -0.810 0.010 -0.005 1.030 0.524 4.052
## 5170 2.000 -0.520 -0.001 -0.010 0.800 0.369 2.865
## 5171 2.000 -0.680 0.043 0.000 1.080 0.614 3.081
## 5172 2.000 -0.525 0.022 0.000 0.875 0.422 2.451
## 5173 2.000 -0.965 0.061 0.040 0.835 -0.479 3.470
## 5174 2.000 -1.235 0.167 0.180 1.285 -0.305 2.551
## 5175 2.000 -0.805 0.076 0.000 1.145 0.400 2.337
## 5176 2.000 -0.760 0.000 -0.035 1.300 0.992 3.646
## 5177 2.000 -1.040 0.001 0.000 0.900 -0.142 3.201
## 5178 2.000 -0.930 -0.028 0.010 0.600 -0.258 2.700
## 5179 2.000 -0.525 0.361 0.275 2.065 0.944 3.342
## 5180 2.000 -1.045 0.058 -0.020 1.565 0.754 3.503
## 5181 2.500 -0.745 -0.006 -0.010 0.820 0.441 3.261
## 5182 2.000 -0.770 -0.001 -0.010 0.940 0.461 4.839
## 5183 1.500 -0.960 -0.090 0.040 0.850 -0.199 2.694
## 5184 2.000 -0.975 -0.020 -0.015 0.795 0.213 2.627
## 5185 2.000 -1.100 0.068 -0.002 1.320 0.143 1.851
## 5186 1.500 -1.260 -0.105 -0.085 0.660 -0.486 4.013
## 5187 1.500 -1.715 -0.110 0.013 1.205 -0.617 3.275
## 5188 2.000 -1.070 -0.092 -0.065 0.940 0.084 2.451
## 5189 2.000 -0.780 0.037 0.000 0.715 -0.270 2.800
## 5190 2.000 -0.790 0.097 0.050 1.070 0.253 2.922
## 5191 1.500 -0.980 0.036 0.020 1.530 0.752 4.512
## 5192 2.000 -1.995 -0.090 0.000 0.775 -1.326 6.247
## 5193 1.500 -1.815 -0.127 -0.065 0.585 -1.140 5.411
## 5194 2.000 -3.130 -0.223 0.000 4.250 0.668 6.807
## 5195 2.000 -1.080 -0.048 0.005 0.920 -0.285 2.897
## 5196 7.000 -1.365 -0.031 0.000 1.245 -0.185 3.084
## 5197 2.000 -1.210 -0.021 -0.035 1.520 0.473 4.995
## 5198 2.000 -1.150 -0.042 -0.020 1.290 0.223 4.378
## 5199 2.000 -1.325 -0.059 -0.005 1.105 -0.105 2.707
## 5200 2.000 -2.250 0.091 0.210 2.500 -0.228 3.054
## 5201 1.500 -1.000 -0.009 0.005 1.230 0.206 2.592
## 5202 2.000 -0.920 -0.071 -0.075 1.010 0.111 2.566
## 5203 1.500 -1.180 -0.059 0.000 1.450 0.259 3.534
## 5204 2.000 -1.295 0.008 -0.007 1.465 0.240 4.616
## 5205 2.000 -0.750 -0.045 -0.015 0.680 0.015 3.642
## 5206 2.000 -1.130 -0.027 0.020 1.660 0.720 4.838
## 5207 2.000 -1.350 -0.001 0.015 1.420 -0.062 3.189
## 5208 3.000 -1.435 -0.011 0.000 1.755 0.351 3.750
## 5209 2.000 -1.240 -0.101 -0.045 1.130 -0.068 2.519
## 5210 2.000 -1.465 -0.064 0.035 1.105 -0.571 2.655
## 5211 2.000 -1.820 0.037 0.070 1.680 -0.032 3.062
## 5212 1.500 -1.140 -0.032 0.018 1.020 -0.155 3.370
## 5213 2.000 -0.980 0.113 0.125 1.900 0.466 3.800
## 5214 2.000 -0.730 0.203 -0.010 2.900 1.651 7.514
## 5215 2.000 -0.950 0.009 0.035 1.800 0.897 6.282
## 5216 1.500 -1.090 -0.018 0.000 1.570 0.464 4.356
## 5217 2.000 -0.950 0.030 0.000 2.240 1.184 6.528
## 5218 2.000 -1.475 0.003 0.075 2.515 0.542 3.799
## 5219 2.000 -0.870 0.123 0.120 2.045 0.750 3.570
## 5220 2.000 -1.400 0.011 0.020 0.955 -0.552 3.255
## 5221 Inf -1.505 0.630 0.005 5.030 1.197 3.328
## 5222 4.000 -1.190 0.367 0.030 3.430 1.183 3.712
## 5223 2.000 -1.640 0.020 -0.005 1.260 -0.348 4.145
## 5224 7.000 -0.770 0.033 0.000 0.940 0.363 2.859
## 5225 2.000 -0.750 0.171 0.015 2.140 0.910 3.872
## 5226 2.000 -2.495 0.192 0.210 2.175 -0.360 2.771
## 5227 3.000 -0.995 0.026 -0.025 2.450 1.377 5.793
## 5228 1.500 -1.340 0.015 0.000 2.685 1.277 8.571
## 5229 2.000 -1.070 -0.010 -0.007 0.760 -0.103 2.629
## 5230 Inf -1.740 -0.055 -0.055 2.710 0.785 4.756
## 5231 2.000 -0.890 0.013 0.020 0.550 -0.710 4.136
## 5232 2.000 -1.855 -0.043 0.002 0.825 -1.233 6.164
## 5233 1.500 -1.510 0.039 0.060 1.640 -0.034 2.510
## 5234 2.000 -1.410 0.159 0.165 1.565 -0.170 2.728
## 5235 2.000 -1.595 -0.023 0.015 1.290 -0.354 3.973
## 5236 2.000 -1.490 -0.024 -0.035 0.980 -0.239 4.023
## 5237 2.000 -1.210 0.040 -0.085 1.040 0.213 3.491
## 5238 1.500 -1.160 0.036 -0.090 1.680 0.457 3.294
## 5239 Inf -1.030 0.002 0.140 0.720 -0.385 2.111
## 5240 2.000 -1.535 0.070 0.050 1.385 -0.092 2.442
## 5241 2.000 -1.245 -0.045 -0.175 1.525 0.231 2.863
## 5242 2.000 -2.620 0.232 0.000 3.550 0.407 2.967
## 5243 1.500 -0.875 0.133 -0.030 1.610 0.880 3.167
## 5244 2.000 -1.205 0.037 0.000 1.245 -0.169 2.517
## 5245 2.000 -1.660 -0.106 -0.025 0.620 -1.142 5.761
## 5246 1.500 -1.840 -0.049 0.010 1.370 -0.867 4.445
## 5247 2.000 -0.790 0.006 0.010 0.790 -0.073 2.375
## 5248 2.000 -0.945 -0.053 -0.010 1.165 0.069 3.732
## 5249 5.000 -1.380 0.077 0.000 3.080 2.085 10.413
## 5250 2.000 -0.665 0.095 -0.007 1.015 0.310 2.296
## 5251 1.500 -0.800 0.092 0.000 1.330 0.536 2.787
## 5252 2.000 -0.980 0.058 -0.015 1.140 0.454 2.592
## 5253 2.000 -1.390 -0.115 -0.195 1.070 0.171 2.183
## 5254 2.000 -3.210 -0.097 0.040 0.820 -2.451 9.933
## 5255 Inf -1.080 -0.086 -0.090 0.840 -0.007 2.520
## 5256 2.000 -1.040 -0.053 -0.092 0.880 -0.087 2.484
## 5257 2.000 -1.270 0.037 0.065 0.680 -0.923 3.672
## 5258 2.000 -0.995 -0.025 0.000 0.695 -0.406 3.286
## 5259 2.000 -0.550 -0.021 0.000 0.580 0.042 2.214
## 5260 7.000 -1.595 -0.029 0.000 2.575 0.682 3.421
## 5261 6.000 -1.970 -0.015 0.000 1.710 -0.296 3.782
## 5262 2.000 -2.175 -0.129 0.015 1.965 -0.053 2.945
## 5263 2.000 -1.235 0.063 -0.015 1.285 0.119 2.462
## 5264 2.000 -2.440 -0.009 0.000 2.220 -0.143 2.635
## 5265 1.500 -0.980 -0.038 0.000 0.860 -0.659 3.263
## 5266 2.000 -0.800 -0.057 -0.042 0.960 0.079 3.102
## 5267 2.000 -1.660 0.049 0.025 2.340 0.249 3.312
## 5268 2.000 -1.895 -0.017 0.000 1.975 -0.068 2.851
## 5269 3.000 -1.900 0.057 0.000 2.780 0.943 7.801
## 5270 2.500 -1.630 0.092 0.000 5.350 2.044 8.826
## 5271 5.000 -1.660 0.420 0.000 4.720 1.056 3.417
## 5272 2.000 -2.200 0.280 0.200 3.360 0.144 2.333
## 5273 2.000 -1.945 0.159 0.050 2.555 0.544 2.766
## 5274 2.000 -1.465 0.315 0.000 4.385 1.083 3.781
## 5275 2.000 -2.678 0.567 0.162 5.483 0.571 2.664
## 5276 2.000 -2.125 0.522 0.150 5.195 0.705 2.798
## 5277 Inf -1.170 0.319 0.122 3.260 1.008 3.329
## 5278 2.000 -0.830 0.138 0.115 1.860 0.755 4.008
## 5279 2.000 -0.980 0.077 0.040 2.400 1.149 5.574
## 5280 2.000 -0.925 0.056 0.000 2.465 1.383 6.873
## 5281 2.000 -0.930 0.040 0.015 2.290 1.160 6.285
## 5282 2.000 -0.740 0.053 0.000 1.910 1.385 6.547
## 5283 Inf -1.975 -0.141 -0.002 1.105 -0.733 3.135
## 5284 2.000 -0.810 0.014 0.025 1.470 0.861 4.603
## 5285 2.000 -0.785 0.081 0.100 0.935 0.092 2.211
## 5286 2.000 -0.910 -0.016 -0.002 1.140 0.070 2.798
## 5287 1.500 -1.260 -0.013 0.030 1.130 -0.381 3.151
## 5288 1.500 -1.030 -0.029 0.005 1.070 -0.228 2.723
## 5289 Inf -1.535 0.000 -0.007 0.960 -0.455 2.662
## 5290 2.000 -1.800 -0.132 -0.058 0.790 -1.369 5.709
## 5291 Inf -1.410 -0.114 -0.030 1.400 -0.040 2.569
## 5292 6.000 -2.800 -0.338 -0.068 2.080 -0.245 3.486
## 5293 2.000 -5.220 -0.375 -0.010 1.480 -1.610 6.048
## 5294 2.000 -3.495 -0.282 0.000 1.615 -0.901 3.580
## 5295 2.000 -1.180 -0.050 -0.005 0.850 -0.334 2.482
## 5296 2.000 -0.690 0.208 0.130 2.620 1.444 6.007
## 5297 2.000 -3.710 0.203 0.427 4.145 -0.265 4.183
## 5298 2.000 -0.995 0.175 0.085 1.230 0.066 3.313
## 5299 2.000 -1.050 0.089 0.000 1.240 0.326 3.043
## 5300 7.000 -0.655 0.113 0.000 1.140 0.576 3.230
## 5301 3.000 -2.070 0.077 -0.135 1.960 0.215 2.200
## 5302 2.000 -1.980 0.193 0.000 1.940 0.203 2.442
## 5303 3.000 -2.390 0.060 0.000 2.900 0.039 3.074
## 5304 2.000 -1.050 0.013 -0.040 1.320 0.352 2.557
## 5305 3.000 -2.325 -0.025 -0.140 2.035 -0.039 2.462
## 5306 2.000 -3.155 -0.107 0.000 2.095 -0.357 2.497
## 5307 2.000 -3.110 -0.092 0.020 2.370 -0.316 2.386
## 5308 2.000 -1.145 0.043 -0.085 0.960 0.041 2.075
## 5309 2.000 -1.425 -0.044 0.005 0.755 -0.837 4.590
## 5310 2.000 -1.165 0.019 0.045 1.165 -0.337 3.241
## 5311 2.000 -1.340 0.009 -0.020 1.420 0.169 4.293
## 5312 3.000 -1.000 -0.070 0.005 0.860 -0.168 2.233
## 5313 2.000 -1.140 0.067 0.007 1.290 0.067 2.512
## 5314 3.000 -1.300 -0.048 0.000 1.190 -0.285 2.650
## 5315 2.000 -1.517 0.158 0.192 1.552 -0.227 3.607
## 5316 2.000 -1.535 0.134 0.230 1.485 -0.360 3.411
## 5317 1.500 -2.190 0.080 0.005 1.560 -0.774 4.708
## 5318 2.000 -0.615 0.176 0.007 2.035 1.027 3.860
## 5319 2.000 -1.460 0.110 0.095 1.635 -0.085 2.879
## 5320 2.000 -0.780 0.151 -0.055 1.600 0.492 1.856
## 5321 2.000 -1.275 -0.040 -0.022 1.765 0.487 4.081
## 5322 2.000 -1.820 -0.061 0.000 1.790 -0.160 3.493
## 5323 2.000 -1.982 -0.070 0.000 1.738 -0.189 3.270
## 5324 Inf -2.620 0.126 -0.010 2.130 -0.254 2.823
## 5325 2.000 -2.400 0.070 0.105 1.990 -0.345 2.364
## 5326 2.000 -1.230 0.063 0.010 1.210 -0.284 3.042
## 5327 2.000 -1.200 0.052 0.095 1.250 -0.230 2.926
## 5328 2.000 -1.120 0.037 0.015 1.520 0.463 3.198
## 5329 2.000 -2.770 -0.062 0.150 2.280 -0.250 2.161
## 5330 4.000 -2.820 -0.100 0.000 2.955 0.129 2.502
## 5331 1.500 -2.320 0.086 0.000 2.900 0.506 2.609
## 5332 1.500 -2.440 -0.056 0.000 2.915 0.283 2.123
## 5333 2.000 -1.420 0.212 0.080 3.760 1.101 6.143
## 5334 2.000 -1.820 0.259 0.290 3.910 0.753 4.838
## 5335 2.000 -1.060 0.342 0.060 2.460 0.740 2.488
## 5336 5.000 -1.560 0.527 0.000 4.030 0.793 2.334
## 5337 6.000 -1.305 0.530 0.000 3.885 0.950 2.592
## 5338 4.500 -1.535 0.407 0.000 3.225 0.776 2.324
## 5339 2.000 -3.290 0.019 0.160 2.430 -0.590 3.265
## 5340 2.000 -2.450 0.299 0.000 2.490 0.313 3.426
## 5341 2.000 -1.512 0.227 0.323 1.708 0.014 2.154
## 5342 Inf -1.335 0.072 0.108 1.465 0.076 2.039
## 5343 2.000 -1.515 0.518 0.110 3.355 0.291 2.042
## 5344 2.000 -2.175 0.499 0.032 4.245 0.177 1.961
## 5345 2.000 -2.215 -0.008 0.245 1.820 -0.659 2.963
## 5346 2.000 -1.500 -0.028 -0.127 1.930 0.428 2.963
## 5347 2.000 -1.750 0.014 0.085 1.940 0.030 2.354
## 5348 3.000 -2.880 -0.023 0.000 2.660 -0.060 3.820
## 5349 1.500 -1.530 -0.105 -0.050 1.540 -0.108 2.706
## 5350 2.000 -1.135 -0.041 -0.035 1.305 0.210 2.412
## 5351 9.000 -3.180 0.195 0.000 3.280 -0.028 2.638
## 5352 2.000 -1.970 0.053 0.070 2.950 0.566 6.095
## 5353 Inf -4.545 0.049 0.610 3.655 -0.458 2.348
## 5354 2.000 -3.335 0.186 0.078 3.725 0.083 2.908
## 5355 2.000 -1.515 0.148 0.255 1.625 -0.509 3.411
## 5356 2.000 -1.245 0.034 0.070 1.105 -0.143 2.106
## 5357 2.000 -2.085 0.493 0.075 4.445 0.533 2.704
## 5358 Inf -1.990 0.130 0.157 1.530 -0.593 3.244
## 5359 2.000 -1.720 0.303 0.240 2.170 0.036 2.033
## 5360 1.500 -0.755 0.133 0.115 1.135 0.509 3.133
## 5361 2.000 -1.815 0.224 0.140 2.205 0.367 3.728
## 5362 9.000 -1.190 0.396 0.000 5.390 1.939 7.535
## 5363 2.000 -2.250 -0.092 -0.070 1.710 -0.045 3.107
## 5364 2.000 -2.480 0.018 0.060 3.550 0.373 4.496
## 5365 Inf -2.220 0.259 0.080 2.830 0.173 2.213
## 5366 1.500 -1.260 0.144 -0.070 2.360 0.913 2.842
## 5367 8.000 -2.960 0.195 0.000 2.910 0.094 3.310
## 5368 2.000 -2.570 -0.221 0.000 1.370 -0.625 2.951
## 5369 2.000 -1.340 -0.033 0.005 1.420 0.030 2.319
## 5370 1.500 -1.160 0.325 0.365 2.030 0.220 2.142
## 5371 Inf -1.225 0.119 0.040 1.765 0.204 2.582
## 5372 2.000 -1.220 0.207 0.120 1.970 0.298 2.623
## 5373 2.000 -2.765 0.053 0.145 1.385 -1.028 3.627
## 5374 2.000 -1.920 0.084 0.065 1.980 -0.200 2.992
## 5375 Inf -2.485 0.235 0.395 2.075 -0.388 2.585
## 5376 3.000 -2.610 0.037 0.020 2.220 -0.350 3.122
## 5377 Inf -2.630 0.071 0.005 2.450 -0.207 2.694
## 5378 Inf -2.130 0.074 0.043 2.030 -0.187 2.640
## 5379 1.500 -2.100 0.023 0.000 1.830 -0.198 2.896
## 5380 2.000 -2.130 0.129 0.292 1.390 -0.662 2.673
## 5381 2.000 -2.060 -0.179 0.040 0.970 -0.901 2.720
## 5382 2.000 -3.320 -0.148 0.000 1.630 -1.353 5.871
## 5383 2.000 -3.860 -0.006 0.195 3.070 -1.285 6.092
## 5384 Inf -5.522 -0.040 0.132 3.137 -1.722 7.946
## 5385 2.000 -4.385 -0.021 0.143 2.905 -1.507 6.499
## 5386 2.000 -3.125 -0.071 0.015 1.975 -0.879 4.086
## 5387 3.000 -2.150 0.242 0.000 3.950 0.735 2.867
## 5388 2.000 -2.060 0.453 0.305 4.850 0.792 3.627
## 5389 1.500 -1.345 0.196 0.000 3.960 1.406 5.880
## 5390 Inf -1.782 0.289 0.073 2.667 0.367 3.232
## 5391 2.000 -2.180 0.308 0.120 4.180 0.733 3.795
## 5392 3.000 -1.565 0.551 0.007 5.075 1.113 3.341
## 5393 1.500 -0.835 0.081 0.000 1.550 0.876 4.795
## 5394 2.000 -1.205 0.159 0.105 2.575 1.210 7.265
## 5395 2.000 -0.685 0.122 0.175 0.905 -0.099 2.096
## 5396 2.000 -0.860 0.033 0.000 1.270 0.254 2.199
## 5397 2.000 -1.125 -0.022 0.015 1.260 0.393 2.764
## 5398 2.000 -1.695 0.005 0.030 1.490 -0.059 3.456
## 5399 2.000 -1.155 0.002 0.015 1.610 0.181 2.973
## 5400 1.500 -1.510 -0.040 -0.005 1.040 -0.094 3.621
## 5401 2.000 -1.170 -0.029 0.000 1.190 -0.059 2.190
## 5402 2.000 -1.180 -0.021 -0.020 1.540 0.558 4.126
## 5403 2.000 -0.900 0.005 0.080 0.740 -0.735 3.649
## 5404 2.000 -1.310 0.010 0.032 0.790 -0.619 3.789
## 5405 2.000 -0.630 0.048 0.015 0.850 0.295 2.579
## 5406 1.500 -3.275 -0.064 0.115 3.065 -0.332 5.440
## 5407 2.000 -0.680 0.095 0.055 1.320 0.869 3.911
## 5408 2.000 -1.100 0.141 0.015 1.990 0.678 3.034
## 5409 2.000 -0.900 0.090 0.075 0.990 -0.132 3.965
## 5410 2.500 -1.330 0.116 0.055 1.610 0.146 3.991
## 5411 2.000 -1.155 0.281 0.075 2.785 0.707 2.937
## 5412 3.000 -2.660 0.463 0.090 4.260 0.455 2.747
## 5413 2.000 -3.340 -0.124 0.040 1.420 -1.082 5.166
## 5414 5.000 -3.000 -0.079 0.000 3.340 0.070 3.129
## 5415 Inf -2.470 -0.100 -0.155 2.780 0.096 2.908
## 5416 2.000 -2.265 0.027 0.015 1.905 -0.280 4.480
## 5417 Inf -2.920 0.302 0.280 4.300 0.125 2.226
## 5418 2.000 -0.810 0.078 -0.020 1.770 1.179 4.533
## 5419 2.000 -1.200 0.214 0.090 2.190 0.420 2.780
## 5420 1.500 -2.380 0.070 0.000 2.350 -0.031 2.976
## 5421 2.000 -1.130 0.041 0.000 1.420 0.180 3.434
## 5422 2.000 -1.015 0.056 0.028 1.205 0.242 2.970
## 5423 1.500 -2.100 -0.036 0.000 1.750 -0.460 3.021
## 5424 2.000 -3.140 -0.078 0.055 2.670 -0.426 2.716
## 5425 1.500 -0.880 0.276 0.200 3.040 1.275 5.441
## 5426 2.000 -0.970 0.062 -0.030 1.710 0.459 2.896
## 5427 2.000 -1.285 0.015 -0.095 1.225 -0.187 3.153
## 5428 2.000 -3.410 -0.114 0.000 1.830 -0.669 4.617
## 5429 4.000 -4.150 -0.523 0.000 2.225 -0.447 2.354
## 5430 4.000 -3.035 -0.173 0.000 1.715 -0.621 2.949
## 5431 Inf -1.430 0.240 0.053 3.280 1.011 4.729
## 5432 1.500 -0.780 0.133 0.045 1.320 0.614 3.098
## 5433 2.000 -1.030 0.146 0.000 2.560 1.285 5.640
## 5434 2.000 -2.950 0.153 0.240 3.430 -0.131 2.836
## 5435 12.000 -1.840 0.311 0.000 3.225 0.711 3.795
## 5436 2.000 -1.460 -0.037 0.085 0.760 -1.065 3.788
## 5437 2.000 -1.320 0.071 0.155 1.520 -0.249 2.583
## 5438 2.000 -2.020 -0.025 0.000 1.300 -0.542 3.853
## 5439 Inf -1.675 0.071 0.035 1.615 0.026 2.612
## 5440 2.000 -1.340 0.178 0.185 1.800 0.411 3.125
## 5441 3.000 -1.240 0.020 0.015 1.490 0.159 4.310
## 5442 2.000 -1.570 0.168 0.170 1.960 -0.217 3.446
## 5443 2.000 -1.720 0.155 0.135 1.540 -0.701 5.031
## 5444 2.000 -2.865 0.226 0.130 2.205 -0.837 5.714
## 5445 2.000 -1.235 0.334 0.028 3.105 0.638 3.576
## 5446 2.000 -1.492 0.052 0.052 1.468 -0.095 3.944
## 5447 1.500 -0.860 0.030 0.035 0.880 -0.123 2.747
## 5448 1.500 -1.335 0.053 0.028 0.995 -0.128 3.289
## 5449 2.000 -0.770 0.065 -0.025 1.150 0.405 1.989
## 5450 2.000 -1.580 0.086 0.045 1.680 -0.024 2.786
## 5451 2.000 -1.190 0.049 -0.015 1.460 0.085 2.351
## 5452 2.000 -1.005 0.001 0.050 1.325 0.285 2.311
## 5453 2.000 -1.440 0.040 0.035 1.270 -0.060 2.258
## 5454 2.000 -1.535 0.048 -0.025 1.355 -0.012 2.836
## 5455 1.500 -0.735 0.034 0.023 0.915 -0.067 2.268
## 5456 2.000 -4.355 -0.172 0.165 1.555 -1.222 4.696
## 5457 2.000 -4.525 -0.199 0.145 1.360 -1.460 5.340
## 5458 2.000 -2.280 -0.067 0.085 1.295 -1.074 3.722
## 5459 2.000 -2.385 -0.035 0.040 1.395 -0.550 2.575
## 5460 Inf -2.050 -0.070 -0.020 1.260 -0.743 3.829
## 5461 3.000 -2.880 -0.121 0.000 1.490 -0.821 3.084
## 5462 2.000 -1.020 0.037 0.000 1.940 0.701 4.684
## 5463 2.000 -2.325 -0.170 0.112 1.295 -0.734 2.806
## 5464 2.000 -0.970 0.118 0.090 1.530 0.409 3.220
## 5465 2.000 -1.440 0.111 0.070 2.180 0.742 5.537
## 5466 1.500 -0.885 0.000 0.000 0.795 -0.408 3.113
## 5467 1.500 -3.550 -0.367 0.090 1.690 -0.415 1.725
## 5468 2.000 -1.820 0.061 0.045 2.160 -0.039 2.552
## 5469 2.000 -1.055 0.239 0.205 1.645 0.012 2.385
## 5470 2.000 -0.995 0.131 0.095 1.635 0.247 2.011
## 5471 1.500 -1.090 0.059 0.040 1.220 0.050 2.252
## 5472 14.000 -4.060 -0.042 0.000 4.140 -0.038 3.061
## 5473 2.000 -0.900 0.027 0.020 0.850 -0.117 2.816
## 5474 2.000 -0.990 0.003 0.000 1.330 0.114 3.048
## 5475 5.000 -1.490 0.102 0.000 2.450 0.736 3.477
## 5476 4.000 -1.220 0.586 0.000 5.250 1.632 4.700
## 5477 4.000 -3.695 0.157 0.000 3.925 0.213 2.481
## 5478 2.000 -1.565 0.295 0.085 3.155 0.452 2.818
## 5479 3.000 -1.010 -0.076 0.000 1.280 0.148 2.482
## 5480 2.000 -1.080 -0.052 -0.100 1.270 0.322 2.813
## 5481 4.500 -2.000 0.576 0.000 4.630 0.730 2.429
## 5482 2.000 -1.055 0.183 0.000 2.130 0.742 2.643
## 5483 2.000 -1.890 -0.062 -0.075 1.540 -0.375 3.611
## 5484 2.000 -0.710 0.118 0.035 0.860 0.271 2.330
## 5485 Inf -1.480 0.117 0.140 0.960 -0.598 3.873
## 5486 2.000 -1.670 0.068 0.080 1.340 -0.544 3.775
## 5487 2.000 -0.695 0.086 0.120 1.665 0.700 4.973
## 5488 3.000 -1.970 0.185 0.000 2.290 0.167 2.397
## 5489 2.000 -3.090 -0.065 0.035 2.590 -0.199 2.017
## 5490 2.000 -2.235 -0.004 0.055 2.045 -0.246 2.113
## 5491 2.000 -1.555 0.107 0.235 1.065 -0.501 2.673
## 5492 2.000 -1.750 0.074 0.155 1.100 -0.485 3.267
## 5493 2.000 -2.410 -0.009 0.110 1.615 -0.692 3.336
## 5494 1.500 -1.575 0.245 0.022 2.285 0.253 2.268
## 5495 2.000 -1.160 0.282 0.290 1.945 0.024 1.894
## 5496 3.000 -3.560 0.044 0.145 2.830 -0.422 2.288
## 5497 2.000 -0.545 0.122 0.115 1.505 0.796 4.202
## 5498 2.000 -0.870 0.237 0.150 2.030 0.741 3.837
## 5499 2.000 -0.620 0.097 0.090 0.820 0.058 2.263
## 5500 1.500 -1.000 0.127 0.135 1.505 0.341 2.297
## 5501 2.000 -1.165 0.071 0.065 1.290 0.011 2.561
## 5502 Inf -0.720 0.056 0.030 1.070 0.434 2.789
## 5503 Inf -1.200 0.083 0.040 2.560 0.914 4.443
## 5504 2.000 -1.285 0.081 0.000 2.315 1.062 5.674
## 5505 2.000 -1.120 0.062 0.055 1.825 0.429 4.195
## 5506 7.000 -1.180 0.791 0.000 5.150 1.156 3.091
## 5507 2.000 -4.360 -0.071 0.050 3.480 -0.239 4.068
## 5508 3.000 -2.180 0.301 0.395 2.440 -0.383 2.971
## 5509 3.500 -3.710 -0.186 0.000 1.910 -0.809 3.143
## 5510 14.000 -4.070 0.123 0.000 5.975 0.449 3.701
## 5511 6.000 -1.890 0.104 0.000 3.220 0.484 2.451
## 5512 2.000 -1.035 -0.024 0.007 1.095 0.008 1.844
## 5513 2.000 -2.935 -0.060 -0.063 1.905 -0.090 2.615
## 5514 2.000 -3.090 -0.077 -0.215 1.930 -0.119 2.389
## 5515 1.500 -1.725 0.012 -0.015 1.450 -0.044 3.629
## 5516 1.500 -1.285 -0.017 -0.005 1.450 0.199 2.856
## 5517 2.000 -1.300 0.036 0.005 1.535 0.088 3.028
## 5518 2.000 -0.810 0.067 0.000 1.110 0.513 3.279
## 5519 2.000 -0.920 -0.008 0.000 0.890 -0.168 3.349
## 5520 2.000 -1.715 0.029 0.015 1.920 0.172 3.821
## 5521 4.000 -1.780 0.168 0.000 2.390 0.172 2.276
## 5522 2.000 -2.720 -0.138 0.060 2.360 -0.050 1.930
## 5523 3.000 -2.045 -0.067 -0.075 2.325 0.098 2.109
## 5524 2.000 -0.710 0.269 0.030 2.285 0.857 2.909
## 5525 1.500 -0.690 0.093 -0.040 2.020 1.191 4.146
## 5526 2.000 -1.060 0.097 0.000 2.080 0.712 3.346
## 5527 1.500 -0.610 0.064 0.000 1.220 0.493 2.850
## 5528 2.000 -2.750 -0.001 0.335 2.065 -0.878 3.007
## 5529 1.500 -3.715 -0.057 0.425 2.245 -0.957 2.991
## 5530 2.000 -1.275 0.003 0.088 1.730 -0.042 2.966
## 5531 2.000 -0.840 0.064 0.060 1.115 0.426 3.113
## 5532 2.000 -0.755 0.036 0.000 0.990 0.405 3.032
## 5533 4.500 -2.880 0.148 0.000 3.230 0.247 2.144
## 5534 2.000 -3.260 -0.208 0.175 1.640 -0.981 3.294
## 5535 2.000 -3.110 -0.304 0.040 1.305 -0.842 2.748
## 5536 2.000 -3.570 -0.042 0.080 2.600 -0.661 3.665
## 5537 2.000 -2.415 -0.091 -0.037 1.875 -0.017 2.844
## 5538 1.500 -1.285 0.220 0.220 2.590 0.201 2.581
## 5539 2.000 -2.275 -0.087 -0.073 1.835 0.018 2.305
## 5540 Inf -2.220 0.109 0.025 2.650 0.210 1.789
## 5541 3.500 -2.260 -0.028 0.000 1.520 0.065 4.774
## 5542 2.000 -2.740 -0.103 -0.190 1.780 -0.154 3.288
## 5543 4.000 -2.160 -0.059 -0.120 2.090 0.129 2.211
## 5544 Inf -1.250 0.132 0.030 2.290 0.709 3.430
## 5545 2.000 -1.445 0.137 0.040 1.455 0.240 2.625
## 5546 2.000 -1.740 0.121 0.135 1.700 0.086 2.870
## 5547 2.000 -1.740 0.102 0.050 1.760 0.206 2.765
## 5548 2.000 -1.540 0.257 0.070 1.860 0.421 2.908
## 5549 2.000 -1.200 0.140 0.120 1.800 0.226 2.193
## 5550 3.000 -1.990 0.134 0.105 2.240 0.161 2.389
## 5551 2.000 -1.000 0.049 0.000 1.470 0.370 2.895
## 5552 1.500 -0.750 0.039 0.000 1.110 0.572 3.632
## 5553 Inf -1.500 -0.063 0.000 1.790 0.164 3.785
## 5554 1.500 -2.060 -0.032 -0.115 2.700 0.481 2.397
## 5555 2.000 -1.760 0.668 0.000 5.520 0.983 2.851
## 5556 Inf -2.693 0.443 -0.155 5.747 0.887 2.794
## 5557 1.500 -3.210 0.529 0.000 5.880 0.808 2.720
## 5558 2.000 -2.210 -0.017 0.050 3.060 0.224 2.385
## 5559 2.000 -2.960 0.131 0.040 3.120 0.029 2.372
## 5560 2.000 -2.210 0.044 0.010 2.120 -0.131 2.139
## 5561 Inf -4.580 -0.029 0.205 2.950 -0.732 3.309
## 5562 2.000 -1.200 -0.029 -0.010 1.050 -0.107 3.033
## 5563 2.000 -1.690 0.162 -0.020 3.260 0.871 3.851
## 5564 2.000 -2.360 0.161 0.000 3.640 0.263 2.756
## 5565 2.000 -2.775 0.001 -0.032 3.475 0.260 2.782
## 5566 2.000 -2.350 0.339 0.120 3.110 0.372 2.774
## 5567 3.000 -1.260 0.259 0.080 2.770 0.781 2.733
## 5568 2.000 -0.880 0.054 0.000 1.340 0.379 2.853
## 5569 Inf -1.270 0.045 0.015 1.360 0.119 2.290
## 5570 2.000 -3.530 -0.051 0.020 2.300 -1.008 3.772
## 5571 Inf -1.670 0.045 0.028 1.810 -0.044 3.560
## 5572 2.000 -4.005 0.080 0.022 2.505 -0.418 3.960
## 5573 2.000 -4.200 0.181 0.000 2.770 -0.352 3.852
## 5574 2.000 -2.640 0.093 0.060 2.395 -0.184 2.389
## 5575 2.000 -1.685 0.289 0.310 1.545 -0.510 3.152
## 5576 2.000 -1.465 0.091 0.160 1.185 -0.420 2.650
## 5577 3.000 -2.090 0.052 0.125 2.670 -0.019 2.638
## 5578 2.000 -0.665 0.164 0.185 1.805 0.550 3.135
## 5579 1.500 -1.565 0.016 0.055 1.515 -0.046 2.927
## 5580 2.000 -2.860 -0.038 -0.020 2.310 -0.234 3.514
## 5581 2.000 -1.420 0.019 -0.025 1.845 0.223 2.511
## 5582 6.000 -1.500 0.199 0.000 3.150 0.787 2.849
## 5583 2.000 -2.355 0.167 0.165 2.265 -0.434 3.438
## 5584 2.000 -1.790 0.067 0.175 1.640 -0.467 2.783
## 5585 1.500 -1.370 0.117 0.000 1.560 0.049 2.271
## 5586 2.000 -2.965 -0.090 -0.903 5.125 0.661 2.399
## 5587 5.000 -2.490 0.567 0.000 5.310 0.455 2.136
## 5588 Inf -2.680 0.443 0.265 3.365 -0.027 1.630
## 5589 2.000 -2.425 0.020 0.120 2.385 -0.229 2.144
## 5590 2.000 -2.830 -0.016 -0.055 2.915 0.027 1.801
## 5591 2.000 -0.905 0.391 0.160 2.295 0.841 2.793
## 5592 2.500 -1.010 0.103 0.000 1.290 0.261 2.605
## 5593 2.000 -0.915 0.115 0.015 1.840 0.508 2.789
## 5594 2.000 -0.930 0.165 0.195 1.380 0.156 2.243
## 5595 2.000 -1.810 0.208 0.250 1.740 -0.275 2.697
## 5596 2.000 -1.640 0.183 0.125 1.710 -0.066 2.632
## 5597 2.000 -1.840 0.230 0.240 2.300 -0.016 2.783
## 5598 2.000 -1.090 -0.005 0.040 1.160 0.059 2.742
## 5599 2.000 -1.580 0.069 0.065 1.350 -0.462 3.628
## 5600 1.500 -1.010 -0.093 0.005 0.520 -0.795 3.420
## 5601 2.000 -1.235 0.048 0.030 1.065 -0.047 3.049
## 5602 2.000 -1.030 0.057 0.052 1.030 -0.104 2.692
## 5603 2.000 -1.000 0.052 0.050 0.940 -0.038 2.601
## 5604 2.000 -1.255 0.075 0.103 1.305 -0.265 3.168
## 5605 2.000 -1.005 0.057 0.052 0.845 -0.384 2.540
## 5606 2.000 -0.805 0.039 0.010 0.765 -0.157 2.436
## 5607 1.500 -0.845 0.177 0.158 1.615 0.258 2.787
## 5608 Inf -2.010 0.042 0.025 2.110 0.094 3.361
## 5609 2.000 -2.340 0.014 -0.075 2.610 0.282 3.648
## 5610 2.000 -1.930 0.030 0.000 2.510 0.427 3.296
## 5611 2.000 -2.065 0.136 0.000 2.785 0.511 4.376
## 5612 2.000 -2.140 0.008 -0.160 2.420 0.179 3.592
## 5613 2.000 -1.110 0.061 0.015 1.515 0.318 2.641
## 5614 3.500 -1.925 -0.020 0.000 2.305 -0.096 2.480
## 5615 2.000 -0.855 0.073 0.020 1.510 0.559 2.993
## 5616 2.000 -1.120 0.067 0.075 1.420 0.312 3.202
## 5617 1.500 -1.690 0.063 0.060 0.860 -0.937 5.170
## 5618 2.000 -1.690 -0.023 0.005 1.000 -0.885 3.967
## 5619 2.000 -1.275 0.061 0.075 1.235 -0.293 2.894
## 5620 2.000 -1.080 0.165 -0.025 1.630 0.426 2.117
## 5621 2.000 -0.745 0.012 0.015 1.185 0.464 3.210
## 5622 2.000 -1.060 0.149 0.125 1.620 0.628 3.427
## 5623 2.000 -1.130 0.265 0.120 1.660 0.546 3.072
## 5624 2.000 -0.988 0.107 0.062 0.943 0.122 3.663
## 5625 2.000 -0.940 -0.008 0.000 0.650 -0.404 3.003
## 5626 2.000 -1.040 0.163 0.185 1.530 0.184 1.771
## 5627 2.000 -1.410 0.019 -0.080 2.630 0.764 2.973
## 5628 2.000 -1.800 -0.097 0.000 1.610 -0.204 2.067
## 5629 2.000 -1.020 -0.070 -0.045 1.095 0.372 3.071
## 5630 2.000 -1.490 0.188 -0.250 3.860 1.229 4.056
## 5631 9.000 -3.110 -0.153 0.000 4.110 0.439 2.926
## 5632 2.000 -1.985 0.174 0.003 3.000 0.207 2.264
## 5633 2.000 -0.990 0.058 0.005 1.240 0.155 2.646
## 5634 2.000 -3.265 -0.009 0.025 1.285 -1.874 8.129
## 5635 1.500 -1.570 0.070 0.045 0.900 -1.202 6.841
## 5636 2.000 -1.815 0.111 0.095 1.405 -0.289 3.739
## 5637 1.500 -1.020 0.007 0.028 0.870 -0.424 2.517
## 5638 1.500 -4.100 -0.349 -0.085 1.080 -1.586 5.169
## 5639 2.000 -5.480 -0.234 -0.080 1.210 -2.928 12.871
## 5640 2.000 -2.080 -0.090 0.010 1.765 -0.379 3.252
## 5641 Inf -2.405 -0.052 -0.053 1.625 -0.431 2.861
## 5642 2.000 -1.860 -0.223 -0.105 0.730 -0.792 3.100
## 5643 2.000 -4.045 -0.437 -0.053 0.635 -1.642 5.805
## 5644 2.000 -3.905 -0.609 -0.045 1.035 -1.032 2.686
## 5645 2.000 -2.745 -0.387 -0.040 2.220 -0.116 1.932
## 5646 4.000 -3.910 -0.533 -0.245 2.880 -0.245 2.263
## 5647 2.000 -1.510 -0.039 -0.035 1.270 -0.202 2.144
## 5648 Inf -4.230 -0.331 -0.032 2.360 -0.836 3.788
## 5649 1.500 -2.790 -0.103 0.000 2.550 -0.154 3.026
## 5650 2.000 -2.270 -0.093 -0.155 1.990 0.067 2.794
## 5651 2.000 -4.895 -0.299 -0.050 1.995 -1.225 4.739
## 5652 2.000 -2.145 -0.109 0.000 1.735 -0.226 3.284
## 5653 3.000 -1.580 -0.006 0.010 1.535 -0.104 3.581
## 5654 2.000 -0.905 -0.016 -0.005 0.710 -0.112 3.239
## 5655 Inf -0.720 0.016 0.060 0.600 -0.547 2.541
## 5656 2.000 -1.185 0.131 0.005 1.565 0.120 2.326
## 5657 2.000 -1.880 0.104 0.180 1.520 -0.302 2.451
## 5658 2.000 -1.150 0.007 0.115 0.680 -0.505 2.767
## 5659 2.000 -2.190 0.168 0.435 2.865 -0.126 2.352
## 5660 11.000 -1.260 0.491 0.160 4.110 1.258 5.542
## 5661 3.000 -3.610 0.264 0.505 4.400 -0.132 2.564
## 5662 1.500 -0.820 0.047 0.022 0.750 -0.365 2.843
## 5663 2.000 -1.195 0.172 0.245 1.650 -0.062 2.440
## 5664 2.000 -1.315 0.191 0.270 1.700 -0.050 2.618
## 5665 1.500 -1.330 -0.115 -0.020 0.595 -0.692 3.319
## 5666 1.500 -1.280 -0.129 -0.060 0.870 -0.218 2.684
## 5667 2.000 -2.150 0.034 0.025 1.840 -0.237 2.807
## 5668 2.000 -1.150 -0.027 -0.035 1.220 0.089 2.948
## 5669 2.000 -0.800 0.061 0.040 1.340 0.204 2.520
## 5670 2.000 -2.760 0.057 0.140 2.240 -0.291 2.797
## 5671 2.000 -1.090 0.014 -0.020 1.110 0.069 2.975
## 5672 2.000 -1.030 -0.009 0.010 1.515 0.361 3.361
## 5673 2.000 -1.530 -0.083 0.000 0.835 -0.972 6.145
## 5674 Inf -2.050 -0.044 0.000 1.250 -0.553 3.248
## 5675 1.500 -1.000 0.089 -0.015 1.290 0.499 2.495
## 5676 2.000 -0.935 0.670 0.340 3.730 0.708 2.476
## 5677 2.000 -1.050 0.001 0.000 1.850 0.699 3.858
## 5678 2.000 -0.890 0.099 0.035 1.360 0.228 2.304
## 5679 2.000 -0.890 0.071 0.025 1.320 0.317 2.508
## 5680 1.500 -0.340 0.112 0.085 0.730 0.428 2.384
## 5681 2.000 -1.760 0.030 0.045 1.580 -0.235 3.650
## 5682 2.000 -1.005 0.007 -0.005 1.245 0.170 3.324
## 5683 2.000 -0.780 0.181 0.040 2.075 1.293 4.695
## 5684 2.000 -0.710 0.154 0.105 1.130 0.338 2.267
## 5685 2.000 -1.570 0.278 0.185 2.530 0.195 1.890
## 5686 2.000 -2.340 -0.024 0.090 2.030 -0.163 2.462
## 5687 1.500 -4.020 -0.053 0.030 1.720 -1.554 7.773
## 5688 2.000 -2.560 -0.126 -0.060 3.000 0.429 3.070
## 5689 5.000 -1.560 0.122 0.000 3.200 0.824 4.431
## 5690 2.000 -1.335 0.219 0.000 2.845 0.798 2.841
## 5691 2.000 -1.325 0.532 0.002 5.690 1.807 5.836
## 5692 3.500 -1.770 0.607 0.000 6.445 1.859 5.950
## 5693 2.000 -0.960 0.375 0.000 4.205 1.886 6.275
## 5694 1.500 -1.790 0.330 0.000 3.500 0.707 2.701
## 5695 6.000 -2.000 0.269 0.000 3.640 0.587 2.874
## 5696 29.000 -1.950 -0.001 0.000 4.890 2.514 12.791
## 5697 2.000 -0.900 0.099 0.025 2.860 1.737 6.654
## 5698 1.500 -1.090 0.100 0.000 3.465 2.200 8.702
## 5699 2.000 -1.585 0.065 -0.020 4.080 1.993 11.088
## 5700 2.000 -1.715 0.092 0.043 4.140 1.864 8.790
## 5701 1.500 -1.025 0.226 -0.045 3.115 1.699 5.630
## 5702 8.000 -1.190 0.154 0.000 4.200 2.022 8.101
## 5703 10.000 -1.170 0.340 0.000 3.960 1.300 4.148
## 5704 3.000 -0.860 0.356 0.145 3.850 1.641 6.636
## 5705 2.000 -2.535 0.588 0.002 7.565 1.945 6.808
## 5706 4.000 -2.010 0.487 0.000 6.900 1.943 6.753
## 5707 2.000 -1.900 0.499 0.175 6.635 2.021 6.890
## 5708 1.500 -0.480 0.131 0.025 2.200 2.435 8.969
## 5709 2.000 -2.890 0.098 0.000 4.665 0.998 5.320
## 5710 2.000 -1.120 0.080 0.020 2.195 1.322 6.326
## 5711 2.000 -0.960 0.101 -0.105 3.205 1.928 7.432
## 5712 11.000 -2.335 0.369 0.000 5.880 1.204 4.793
## 5713 5.000 -2.490 0.370 0.000 5.585 1.237 4.766
## 5714 2.000 -1.575 0.330 0.000 3.950 1.298 4.546
## 5715 2.000 -1.580 0.072 -0.135 2.875 0.892 3.460
## 5716 4.000 -1.930 0.122 0.000 3.365 0.935 3.221
## 5717 2.000 -1.180 0.292 0.045 2.295 0.712 2.976
## 5718 2.000 -0.940 0.361 0.130 3.265 1.049 3.946
## 5719 1.500 -1.380 0.002 0.005 1.925 0.382 3.666
## 5720 2.000 -1.445 0.066 0.018 1.765 0.122 2.791
## 5721 2.000 -3.530 0.284 0.105 3.200 -0.167 2.664
## 5722 2.000 -1.435 0.207 0.008 2.455 0.359 2.515
## 5723 2.000 -2.780 0.812 0.355 5.210 0.644 2.650
## 5724 1.500 -1.660 0.311 -0.045 3.890 1.117 3.613
## 5725 2.000 -1.955 0.259 0.065 4.175 0.930 3.324
## 5726 2.000 -2.470 -0.002 0.000 3.340 0.522 3.182
## 5727 3.000 -2.230 0.121 0.000 3.300 0.578 3.143
## 5728 Inf -0.885 0.141 0.000 2.380 0.993 3.904
## 5729 1.500 -3.100 -0.133 0.000 4.455 0.471 2.592
## 5730 1.500 -2.920 0.128 0.000 4.625 0.420 2.563
## 5731 1.500 -1.230 -0.007 -0.020 2.475 0.929 4.304
## 5732 2.500 -1.760 1.235 0.000 6.400 0.938 2.809
## 5733 2.000 -1.465 0.135 -0.018 2.535 0.620 2.778
## 5734 2.000 -1.180 0.093 0.000 1.950 0.811 3.031
## 5735 2.000 -2.245 0.132 0.000 3.400 0.821 6.636
## 5736 5.000 -1.060 0.037 0.000 1.615 0.631 4.311
## 5737 4.000 -2.650 0.149 0.150 3.155 -0.146 2.858
## 5738 Inf -1.000 -0.017 -0.020 1.040 0.072 2.726
## 5739 1.500 -0.970 0.053 0.000 1.170 0.223 2.713
## 5740 2.000 -1.570 0.072 0.085 1.370 -0.284 3.953
## 5741 2.000 -0.640 0.120 0.040 1.185 0.371 2.198
## 5742 2.000 -0.780 0.088 0.000 1.120 0.467 2.607
## 5743 2.000 -1.150 0.085 0.000 2.050 0.659 3.127
## 5744 2.000 -1.060 0.124 0.030 1.870 0.610 2.770
## 5745 2.000 -0.830 0.208 0.000 1.860 0.842 3.114
## 5746 2.000 -0.860 0.140 0.050 1.600 0.580 2.675
## 5747 2.000 -0.570 0.094 0.025 0.870 0.339 2.302
## 5748 1.500 -0.660 -0.007 0.000 0.700 0.118 2.271
## 5749 2.000 -0.550 0.001 0.010 0.790 0.137 2.063
## 5750 2.000 -0.620 0.044 0.000 1.050 0.295 2.460
## 5751 2.000 -0.620 0.083 0.005 1.160 0.439 2.602
## 5752 2.000 -0.990 0.135 0.010 1.170 0.183 2.924
## 5753 Inf -0.865 0.128 0.120 2.095 0.468 3.315
## 5754 2.000 -1.980 0.185 0.035 2.595 0.467 3.414
## 5755 2.000 -1.430 0.138 0.020 2.340 0.697 2.970
## 5756 2.000 -1.390 0.005 -0.045 1.780 0.322 3.237
## 5757 2.000 -1.480 0.043 -0.095 1.650 0.287 3.212
## 5758 Inf -3.420 0.079 0.270 2.850 -0.209 2.068
## 5759 2.000 -2.410 0.169 0.140 2.520 0.108 2.261
## 5760 5.000 -2.440 0.789 0.000 5.195 0.554 1.930
## 5761 2.000 -1.220 0.083 0.000 1.975 0.449 2.742
## 5762 2.000 -1.125 0.105 0.090 2.280 0.403 2.520
## 5763 2.000 -1.895 0.074 0.090 2.250 -0.030 2.987
## 5764 2.000 -1.710 0.182 0.110 2.505 0.008 2.584
## 5765 2.000 -1.660 0.277 0.060 2.525 0.470 2.853
## 5766 2.000 -1.110 0.080 0.010 1.445 0.073 2.601
## 5767 2.000 -1.930 0.160 0.070 1.790 -0.131 3.378
## 5768 2.000 -2.190 0.223 0.125 2.140 -0.232 3.449
## 5769 1.500 -1.735 0.235 0.085 1.835 0.095 3.049
## 5770 2.000 -0.800 0.278 0.200 1.625 0.282 2.329
## 5771 2.000 -0.460 0.458 0.105 2.050 0.782 2.307
## 5772 2.000 -1.405 0.453 0.265 2.465 0.571 2.634
## 5773 2.000 -1.610 0.538 0.205 2.870 0.495 2.698
## 5774 2.000 -2.320 0.155 0.345 1.575 -0.592 2.946
## 5775 2.000 -1.880 0.220 0.345 1.335 -0.625 3.144
## 5776 2.000 -2.380 0.343 0.298 2.370 -0.129 2.467
## 5777 2.000 -0.850 0.101 0.045 1.040 0.010 2.188
## 5778 1.500 -1.325 0.030 0.085 1.070 -0.276 2.365
## 5779 2.000 -1.150 0.166 0.165 1.850 0.093 2.481
## 5780 1.500 -1.720 0.041 0.035 1.660 -0.142 3.037
## 5781 2.000 -2.440 0.043 0.095 1.780 -0.493 4.142
## 5782 1.500 -1.150 0.083 0.045 1.340 0.095 2.780
## 5783 2.000 -2.995 0.135 0.395 1.975 -0.707 3.305
## 5784 2.000 -0.735 0.123 0.025 1.165 0.135 2.550
## 5785 Inf -1.285 0.012 0.100 1.320 -0.347 3.574
## 5786 1.500 -1.160 0.127 0.065 1.410 0.054 2.524
## 5787 2.000 -2.035 -0.085 -0.050 2.065 -0.059 3.573
## 5788 2.000 -0.965 0.044 0.035 1.425 0.258 3.686
## 5789 2.000 -1.125 0.070 0.150 1.185 -0.181 2.686
## 5790 2.000 -1.700 0.107 0.005 1.750 0.077 2.551
## 5791 2.000 -3.490 -0.274 -0.080 2.150 -0.253 2.207
## 5792 2.000 -0.925 -0.001 0.000 0.775 -0.379 2.740
## 5793 2.000 -1.865 -0.055 0.115 1.275 -0.513 2.416
## 5794 2.000 -1.500 -0.078 0.020 0.915 -0.371 2.234
## 5795 Inf -1.600 -0.135 0.025 1.000 -0.484 2.122
## 5796 Inf -3.205 0.366 0.105 4.545 0.203 2.172
## 5797 Inf -2.345 -0.067 -0.248 2.325 0.141 2.144
## 5798 1.500 -3.060 -0.216 0.000 1.880 -0.570 2.662
## 5799 2.000 -3.360 -0.303 0.000 1.930 -0.582 2.664
## 5800 2.000 -1.770 -0.005 0.080 1.775 -0.033 2.881
## 5801 Inf -1.560 0.020 0.140 1.805 -0.140 2.335
## 5802 2.000 -0.820 0.191 0.105 1.400 0.069 2.326
## 5803 2.000 -3.580 0.593 0.585 5.620 0.505 2.959
## 5804 Inf -2.020 1.139 1.345 5.025 0.086 1.824
## 5805 2.000 -3.665 0.674 1.355 4.430 -0.155 1.885
## 5806 2.000 -1.575 0.287 0.200 2.075 0.000 2.240
## 5807 2.000 -1.470 0.304 0.465 1.990 -0.149 2.268
## 5808 4.000 -2.130 0.419 0.360 2.820 -0.002 3.012
## 5809 3.000 -2.685 0.200 0.310 2.325 -0.417 2.121
## 5810 2.000 -1.970 0.422 0.375 2.590 -0.084 1.992
## 5811 2.000 -1.070 0.164 0.140 1.990 0.293 3.134
## 5812 1.500 -0.850 0.271 0.120 2.290 1.028 4.591
## 5813 2.000 -1.070 0.157 0.050 1.550 0.223 2.190
## 5814 Inf -2.930 0.199 0.260 4.530 0.155 3.086
## 5815 Inf -1.250 0.073 0.135 1.470 -0.189 2.057
## 5816 2.000 -1.985 0.068 0.200 2.495 -0.020 2.164
## 5817 2.000 -2.060 0.189 0.130 2.690 0.145 2.863
## 5818 2.000 -3.040 -0.015 0.015 2.900 -0.089 2.491
## 5819 2.000 -1.572 0.127 0.032 2.027 0.083 2.609
## 5820 2.000 -1.725 0.229 0.065 2.835 0.459 2.573
## 5821 Inf -1.515 0.355 0.235 3.125 0.494 2.577
## 5822 Inf -1.925 0.310 0.080 3.305 0.449 2.126
## 5823 2.000 -2.710 0.317 0.005 3.250 0.322 2.577
## 5824 2.000 -1.895 0.149 -0.250 3.065 0.488 2.163
## 5825 2.000 -1.195 0.008 -0.085 1.785 0.415 2.846
## 5826 2.000 -1.550 0.055 0.045 2.220 0.241 2.204
## 5827 2.000 -2.430 0.112 0.005 2.400 -0.035 2.460
## 5828 4.000 -3.150 0.040 0.000 3.695 0.054 1.745
## 5829 Inf -3.180 0.202 -0.140 4.495 0.527 2.661
## 5830 1.500 -2.825 -0.020 0.000 3.390 0.049 2.097
## 5831 5.000 -3.125 0.029 0.000 4.615 0.571 3.876
## 5832 2.000 -2.660 0.216 -0.105 3.130 0.200 2.255
## 5833 1.500 -2.350 0.239 0.000 3.670 0.329 2.051
## 5834 1.500 -1.975 -0.005 0.000 2.610 0.200 1.906
## 5835 2.000 -3.190 -0.096 0.000 2.455 -0.214 1.894
## 5836 Inf -3.250 -0.113 -0.255 2.855 -0.010 1.673
## 5837 Inf -2.905 -0.032 -0.080 2.390 -0.080 1.727
## 5838 Inf -3.830 -0.322 -0.425 3.820 -0.029 1.974
## 5839 2.000 -1.480 0.528 -0.175 4.540 0.662 2.259
## 5840 2.000 -1.635 0.068 -0.038 2.215 0.217 2.037
## 5841 4.000 -2.225 0.408 0.003 4.455 0.385 2.418
## 5842 2.000 -2.420 0.245 0.000 3.635 0.317 2.003
## 5843 1.500 -3.500 -0.240 0.015 3.815 -0.063 2.102
## 5844 1.500 -1.630 0.259 -0.120 3.610 0.981 3.451
## 5845 2.000 -1.640 0.888 0.130 5.565 0.991 2.923
## 5846 2.000 -1.750 0.373 0.140 3.815 0.945 3.254
## 5847 Inf -2.275 0.041 0.225 1.985 -0.279 2.142
## 5848 2.000 -1.650 0.492 0.075 3.030 0.433 2.190
## 5849 2.000 -1.760 0.488 0.135 3.180 0.379 1.946
## 5850 2.000 -1.465 0.342 0.130 2.545 0.471 2.474
## 5851 3.000 -1.540 -0.023 0.035 1.325 -0.381 2.575
## 5852 2.000 -1.025 0.315 0.075 2.675 0.838 2.863
## 5853 Inf -1.210 0.280 0.105 2.430 0.639 2.667
## 5854 2.000 -1.000 0.248 0.090 2.730 0.744 2.820
## 5855 2.000 -1.105 0.189 0.220 2.015 0.343 2.687
## 5856 2.000 -1.150 0.110 0.105 2.430 0.545 2.897
## 5857 2.000 -1.830 -0.023 0.105 1.050 -0.883 3.303
## 5858 2.000 -1.230 0.048 0.020 1.310 0.016 2.142
## 5859 2.000 -1.355 0.055 0.240 1.435 -0.263 2.056
## 5860 2.000 -2.030 0.079 0.285 1.570 -0.519 2.601
## 5861 Inf -1.960 0.174 0.240 1.700 -0.382 2.356
## 5862 1.500 -1.985 0.122 0.215 1.405 -0.385 2.688
## 5863 2.000 -0.865 0.132 0.130 1.560 0.309 2.757
## 5864 2.000 -1.235 0.094 0.200 2.120 0.274 2.861
## 5865 2.000 -2.505 0.270 0.490 2.770 -0.355 2.708
## 5866 2.000 -2.275 0.104 0.160 1.725 -0.667 3.463
## 5867 2.000 -5.055 -0.014 0.180 2.025 -1.529 5.753
## 5868 2.000 -4.470 -0.265 0.100 3.485 -0.641 3.098
## 5869 2.000 -4.670 -0.476 0.025 3.275 -0.830 3.045
## 5870 1.500 -4.720 -0.459 0.005 3.245 -0.768 3.537
## 5871 2.000 -3.690 -0.321 0.005 3.385 -0.473 3.112
## 5872 2.000 -3.465 -0.173 0.095 3.320 -0.355 3.010
## 5873 2.000 -2.820 0.132 0.295 2.340 -0.371 3.256
## 5874 2.000 -2.130 -0.020 0.122 2.115 -0.115 2.786
## 5875 2.000 -3.020 0.270 0.255 2.515 -0.239 3.313
## 5876 Inf -1.925 0.298 0.265 2.415 0.038 2.820
## 5877 2.000 -0.720 0.196 0.260 1.150 -0.032 2.107
## 5878 2.000 -4.705 0.136 0.165 2.015 -1.555 7.361
## 5879 2.000 -1.190 0.130 -0.030 2.020 0.595 2.912
## 5880 2.000 -2.130 0.071 0.185 1.550 -0.527 3.064
## 5881 2.000 -3.040 -0.095 0.130 1.230 -1.214 4.418
## 5882 Inf -3.060 0.221 0.410 3.140 -0.542 3.844
## Percentile25th Percentile75th
## 1 -0.365 0.272
## 2 -0.490 0.235
## 3 -0.207 0.170
## 4 -1.348 0.732
## 5 -0.132 0.210
## 6 -0.156 0.157
## 7 -0.098 0.180
## 8 -0.155 0.116
## 9 -0.322 0.330
## 10 -0.237 0.585
## 11 -0.273 0.575
## 12 -0.377 0.655
## 13 -0.368 0.208
## 14 -0.110 0.001
## 15 -0.458 0.850
## 16 -0.855 4.334
## 17 -0.326 1.386
## 18 -0.295 0.299
## 19 -0.477 0.295
## 20 -0.190 0.138
## 21 -0.258 0.362
## 22 -0.163 0.152
## 23 -0.285 0.170
## 24 -0.261 0.215
## 25 -0.363 0.335
## 26 -0.280 0.237
## 27 -0.368 0.512
## 28 -0.682 0.335
## 29 -0.238 0.306
## 30 -0.199 0.252
## 31 -0.265 0.562
## 32 -0.256 0.436
## 33 -0.413 0.315
## 34 -0.446 0.255
## 35 -0.393 0.472
## 36 -0.245 0.428
## 37 -0.388 0.165
## 38 -0.215 0.285
## 39 -0.285 0.272
## 40 -0.190 0.430
## 41 -0.303 0.295
## 42 -0.188 0.440
## 43 -0.172 0.677
## 44 -0.138 0.635
## 45 -0.270 0.285
## 46 -0.205 0.270
## 47 -0.263 0.212
## 48 -0.362 0.440
## 49 -0.300 0.350
## 50 -0.438 0.280
## 51 -0.432 0.390
## 52 -0.445 0.420
## 53 -0.308 0.515
## 54 -0.230 0.260
## 55 -0.267 0.305
## 56 -0.202 0.312
## 57 -0.226 0.150
## 58 -0.235 0.155
## 59 -0.230 0.305
## 60 -0.295 0.270
## 61 -0.390 0.425
## 62 -0.235 0.145
## 63 -0.378 0.445
## 64 -0.228 0.292
## 65 -0.245 0.108
## 66 -0.329 0.460
## 67 -0.466 0.182
## 68 -0.418 0.200
## 69 -0.275 0.435
## 70 -0.275 0.245
## 71 -0.397 0.180
## 72 -0.280 0.230
## 73 -0.152 0.165
## 74 -0.325 0.318
## 75 -0.360 0.313
## 76 -0.258 0.172
## 77 -0.392 0.158
## 78 -1.081 0.943
## 79 -0.140 0.118
## 80 -0.573 0.530
## 81 -0.314 0.323
## 82 -0.420 0.698
## 83 -0.240 0.308
## 84 -0.495 0.562
## 85 -0.238 0.780
## 86 -0.250 0.254
## 87 -0.270 0.455
## 88 -0.348 0.266
## 89 -0.677 0.472
## 90 -0.562 0.640
## 91 -0.415 0.382
## 92 -0.541 0.997
## 93 -0.495 0.540
## 94 -0.843 0.845
## 95 -1.002 1.095
## 96 -0.498 0.468
## 97 -0.118 0.268
## 98 -0.140 0.823
## 99 -0.330 1.158
## 100 -0.250 1.045
## 101 -0.302 0.408
## 102 -0.176 0.253
## 103 -0.250 0.433
## 104 -0.218 0.695
## 105 -0.394 0.587
## 106 -0.312 0.472
## 107 -0.318 0.458
## 108 -0.310 1.273
## 109 -0.670 0.915
## 110 -0.348 0.685
## 111 -0.528 0.812
## 112 -0.738 1.869
## 113 -0.893 2.080
## 114 -0.427 0.348
## 115 -0.512 0.162
## 116 -0.133 0.240
## 117 -0.620 0.432
## 118 -0.172 0.343
## 119 -0.397 0.402
## 120 -0.458 0.275
## 121 -0.283 0.408
## 122 -0.220 0.130
## 123 -0.304 0.185
## 124 -0.402 0.000
## 125 -0.425 0.070
## 126 -0.455 0.672
## 127 -0.452 1.446
## 128 -0.642 0.050
## 129 -0.308 0.335
## 130 -0.472 0.405
## 131 -0.518 0.512
## 132 -0.767 0.670
## 133 -2.465 0.002
## 134 -1.303 1.665
## 135 -0.495 0.537
## 136 -0.185 0.293
## 137 -0.675 0.000
## 138 -0.500 0.298
## 139 -0.928 0.070
## 140 -0.715 0.310
## 141 -0.308 0.573
## 142 -0.335 0.338
## 143 -0.526 1.953
## 144 -0.612 0.350
## 145 -0.613 0.690
## 146 -0.420 0.232
## 147 -0.374 0.382
## 148 -0.461 0.457
## 149 -0.383 0.485
## 150 -0.222 0.729
## 151 -0.268 0.900
## 152 -0.295 0.872
## 153 -0.400 0.810
## 154 -0.330 0.344
## 155 -0.120 0.335
## 156 -0.260 0.493
## 157 -0.135 0.615
## 158 -0.342 0.637
## 159 -0.228 0.450
## 160 -0.354 0.305
## 161 -0.275 0.182
## 162 -1.051 0.672
## 163 -1.040 0.702
## 164 -0.818 0.630
## 165 -0.528 0.470
## 166 -0.225 0.155
## 167 -0.500 0.635
## 168 -0.515 0.453
## 169 -0.391 0.370
## 170 -0.212 0.378
## 171 -0.170 0.292
## 172 -0.306 0.287
## 173 -0.363 0.392
## 174 -0.202 0.475
## 175 -0.103 0.459
## 176 -0.103 0.315
## 177 -0.418 0.252
## 178 -0.318 0.248
## 179 -0.572 0.435
## 180 -0.340 0.545
## 181 -0.315 0.557
## 182 -0.450 0.975
## 183 -0.304 0.122
## 184 -0.190 0.283
## 185 -0.230 0.490
## 186 -0.426 0.392
## 187 -0.360 1.263
## 188 -1.240 1.535
## 189 -0.390 1.075
## 190 -0.283 0.472
## 191 -0.288 0.593
## 192 -0.442 0.927
## 193 -0.698 1.105
## 194 -0.510 0.465
## 195 -0.542 0.848
## 196 -2.591 1.873
## 197 -1.155 1.263
## 198 -0.125 1.035
## 199 -0.500 0.430
## 200 -0.295 0.492
## 201 -0.740 0.902
## 202 -0.313 0.473
## 203 -0.479 0.560
## 204 -0.650 0.522
## 205 -0.342 1.230
## 206 -0.192 0.348
## 207 -0.266 0.915
## 208 -0.978 1.325
## 209 -0.435 0.680
## 210 -0.180 0.810
## 211 -0.510 0.742
## 212 -0.615 0.283
## 213 -1.097 1.370
## 214 -0.550 0.518
## 215 -0.412 0.140
## 216 -0.388 0.665
## 217 -0.475 0.385
## 218 -0.355 0.172
## 219 -0.362 0.547
## 220 -0.235 0.397
## 221 -0.525 0.715
## 222 -0.484 0.547
## 223 -0.605 0.135
## 224 -0.510 1.052
## 225 -0.415 0.690
## 226 -0.215 0.495
## 227 -0.552 0.552
## 228 -0.397 0.652
## 229 -0.507 0.633
## 230 -0.240 0.165
## 231 -0.340 0.627
## 232 -0.302 0.418
## 233 -0.815 0.250
## 234 -0.748 0.795
## 235 -0.272 0.468
## 236 -0.449 0.769
## 237 -0.787 0.975
## 238 -0.445 0.485
## 239 -0.562 0.802
## 240 -0.585 0.557
## 241 -1.372 0.878
## 242 -0.688 1.750
## 243 -1.790 1.715
## 244 -1.134 1.147
## 245 -1.168 1.840
## 246 -1.220 1.070
## 247 -1.505 1.800
## 248 -0.770 2.902
## 249 -0.223 0.900
## 250 -0.660 0.532
## 251 -1.138 1.939
## 252 -1.392 3.422
## 253 -1.257 1.192
## 254 -1.473 1.520
## 255 -1.297 0.782
## 256 -1.013 3.275
## 257 -1.032 3.013
## 258 -0.945 0.952
## 259 -0.272 0.448
## 260 -0.850 0.585
## 261 -1.138 1.383
## 262 -0.781 0.452
## 263 -0.783 0.512
## 264 -1.378 1.458
## 265 -1.055 1.692
## 266 -1.480 1.840
## 267 -0.778 2.360
## 268 -0.190 0.374
## 269 -0.630 0.903
## 270 -0.525 0.655
## 271 -0.560 0.220
## 272 -0.302 0.578
## 273 -0.693 0.867
## 274 -1.362 1.088
## 275 -0.717 0.318
## 276 -1.330 0.562
## 277 -0.380 0.542
## 278 -0.448 0.855
## 279 -0.148 0.552
## 280 -0.528 0.705
## 281 -1.828 0.805
## 282 -0.245 0.412
## 283 -0.330 0.470
## 284 -0.457 0.455
## 285 -0.245 0.683
## 286 -3.269 2.077
## 287 -1.041 1.805
## 288 -0.250 0.462
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## 5760 -1.052 2.920
## 5761 -0.540 0.562
## 5762 -0.505 0.653
## 5763 -0.513 0.583
## 5764 -0.325 0.987
## 5765 -0.310 0.795
## 5766 -0.272 0.570
## 5767 -0.275 0.680
## 5768 -0.262 0.812
## 5769 -0.130 0.693
## 5770 -0.202 0.687
## 5771 -0.115 0.877
## 5772 -0.255 0.965
## 5773 -0.188 1.140
## 5774 -0.280 0.804
## 5775 -0.185 0.757
## 5776 -0.525 1.080
## 5777 -0.283 0.480
## 5778 -0.328 0.430
## 5779 -0.370 0.587
## 5780 -0.498 0.517
## 5781 -0.345 0.445
## 5782 -0.183 0.487
## 5783 -0.505 0.877
## 5784 -0.125 0.471
## 5785 -0.178 0.252
## 5786 -0.208 0.608
## 5787 -0.468 0.322
## 5788 -0.193 0.385
## 5789 -0.185 0.404
## 5790 -0.375 0.575
## 5791 -1.342 0.770
## 5792 -0.210 0.248
## 5793 -0.572 0.530
## 5794 -0.565 0.435
## 5795 -0.593 0.430
## 5796 -1.290 1.917
## 5797 -1.042 0.913
## 5798 -0.895 0.585
## 5799 -1.080 0.640
## 5800 -0.507 0.460
## 5801 -0.667 0.570
## 5802 -0.113 0.585
## 5803 -0.793 1.477
## 5804 -0.730 2.622
## 5805 -1.136 2.407
## 5806 -0.418 0.955
## 5807 -0.210 0.910
## 5808 -0.091 1.042
## 5809 -0.970 1.314
## 5810 -0.620 1.435
## 5811 -0.308 0.532
## 5812 -0.095 0.595
## 5813 -0.363 0.677
## 5814 -0.875 1.310
## 5815 -0.552 0.586
## 5816 -0.825 1.002
## 5817 -0.345 0.850
## 5818 -1.165 0.843
## 5819 -0.422 0.650
## 5820 -0.380 0.970
## 5821 -0.390 0.850
## 5822 -0.710 1.062
## 5823 -0.470 1.082
## 5824 -0.755 0.984
## 5825 -0.345 0.438
## 5826 -0.735 0.772
## 5827 -0.685 0.955
## 5828 -1.862 1.768
## 5829 -1.092 1.610
## 5830 -1.357 1.352
## 5831 -0.930 0.549
## 5832 -0.785 1.385
## 5833 -1.295 1.534
## 5834 -1.183 1.115
## 5835 -1.545 1.302
## 5836 -1.673 1.490
## 5837 -1.285 1.377
## 5838 -1.935 1.163
## 5839 -0.837 1.895
## 5840 -0.810 0.815
## 5841 -0.870 1.462
## 5842 -1.102 1.763
## 5843 -1.982 1.155
## 5844 -0.640 0.787
## 5845 -0.448 1.880
## 5846 -0.588 0.960
## 5847 -0.872 0.900
## 5848 -0.292 1.348
## 5849 -0.535 1.742
## 5850 -0.385 0.997
## 5851 -0.413 0.435
## 5852 -0.405 0.970
## 5853 -0.452 0.775
## 5854 -0.608 0.795
## 5855 -0.370 0.603
## 5856 -0.693 0.625
## 5857 -0.378 0.525
## 5858 -0.523 0.492
## 5859 -0.425 0.620
## 5860 -0.532 0.803
## 5861 -0.560 0.843
## 5862 -0.470 0.628
## 5863 -0.330 0.490
## 5864 -0.525 0.600
## 5865 -0.448 1.302
## 5866 -0.320 0.698
## 5867 -0.465 0.930
## 5868 -0.768 0.693
## 5869 -0.962 0.688
## 5870 -0.900 0.345
## 5871 -1.050 0.518
## 5872 -0.960 0.600
## 5873 -0.452 0.818
## 5874 -0.722 0.570
## 5875 -0.368 1.002
## 5876 -0.370 0.863
## 5877 -0.170 0.510
## 5878 -0.428 0.997
## 5879 -0.400 0.667
## 5880 -0.463 0.618
## 5881 -0.618 0.494
## 5882 -0.415 1.002
## [ reached 'max' / getOption("max.print") -- omitted 948 rows ]##################################
# Identifying potential data quality issues
##################################
##################################
# Checking for missing observations
##################################
if ((nrow(DQA.Summary[DQA.Summary$NA.Count>0,]))>0){
print(paste0("Missing observations noted for ",
(nrow(DQA.Summary[DQA.Summary$NA.Count>0,])),
" variable(s) with NA.Count>0 and Fill.Rate<1.0."))
DQA.Summary[DQA.Summary$NA.Count>0,]
} else {
print("No missing observations noted.")
}## [1] "No missing observations noted."##################################
# Checking for zero or near-zero variance Descriptors
##################################
if (length(names(DQA.Descriptors.Factor))==0) {
print("No factor descriptors noted.")
} else if (nrow(DQA.Descriptors.Factor.Summary[as.numeric(as.character(DQA.Descriptors.Factor.Summary$First.Second.Mode.Ratio))>5,])>0){
print(paste0("Low variance observed for ",
(nrow(DQA.Descriptors.Factor.Summary[as.numeric(as.character(DQA.Descriptors.Factor.Summary$First.Second.Mode.Ratio))>5,])),
" factor variable(s) with First.Second.Mode.Ratio>5."))
DQA.Descriptors.Factor.Summary[as.numeric(as.character(DQA.Descriptors.Factor.Summary$First.Second.Mode.Ratio))>5,]
} else {
print("No low variance factor descriptors due to high first-second mode ratio noted.")
}## [1] "No factor descriptors noted."if (length(names(DQA.Descriptors.Numeric))==0) {
print("No numeric descriptors noted.")
} else if (nrow(DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$First.Second.Mode.Ratio))>5,])>0){
print(paste0("Low variance observed for ",
(nrow(DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$First.Second.Mode.Ratio))>5,])),
" numeric variable(s) with First.Second.Mode.Ratio>5."))
DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$First.Second.Mode.Ratio))>5,]
} else {
print("No low variance numeric descriptors due to high first-second mode ratio noted.")
}## [1] "Low variance observed for 610 numeric variable(s) with First.Second.Mode.Ratio>5."## Column.Name Column.Type Unique.Count Unique.Count.Ratio First.Mode.Value
## 10 data.10 numeric 40 1.000 0.095
## 14 data.14 numeric 26 0.650 0.000
## 30 data.30 numeric 40 1.000 -0.230
## 43 data.43 numeric 40 1.000 -1.265
## 53 data.53 numeric 40 1.000 -0.180
## 81 data.81 numeric 34 0.850 0.000
## 83 data.83 numeric 23 0.575 0.000
## 112 data.112 numeric 40 1.000 1.805
## 124 data.124 numeric 24 0.600 0.000
## 125 data.125 numeric 28 0.700 0.000
## 126 data.126 numeric 33 0.825 0.000
## 128 data.128 numeric 29 0.725 0.000
## 130 data.130 numeric 26 0.650 0.000
## 133 data.133 numeric 23 0.575 0.000
## 134 data.134 numeric 28 0.700 0.000
## 135 data.135 numeric 29 0.725 0.000
## 137 data.137 numeric 25 0.625 0.000
## 139 data.139 numeric 31 0.775 0.000
## 141 data.141 numeric 35 0.875 0.000
## 145 data.145 numeric 40 1.000 0.370
## 175 data.175 numeric 40 1.000 -0.375
## 179 data.179 numeric 35 0.875 0.000
## 189 data.189 numeric 40 1.000 0.070
## 198 data.198 numeric 28 0.700 0.000
## 204 data.204 numeric 34 0.850 0.000
## 211 data.211 numeric 34 0.850 0.000
## 212 data.212 numeric 32 0.800 0.000
## 230 data.230 numeric 29 0.725 0.000
## 234 data.234 numeric 40 1.000 -0.570
## 245 data.245 numeric 40 1.000 -0.680
## 250 data.250 numeric 40 1.000 -1.120
## 255 data.255 numeric 34 0.850 0.000
## 256 data.256 numeric 40 1.000 -1.880
## 259 data.259 numeric 27 0.675 0.000
## 263 data.263 numeric 29 0.725 0.000
## 269 data.269 numeric 30 0.750 0.000
## 276 data.276 numeric 35 0.875 0.000
## 279 data.279 numeric 40 1.000 0.120
## 291 data.291 numeric 34 0.850 0.000
## 293 data.293 numeric 40 1.000 -0.275
## 297 data.297 numeric 40 1.000 -0.130
## 301 data.301 numeric 40 1.000 1.345
## 306 data.306 numeric 40 1.000 0.965
## 309 data.309 numeric 40 1.000 -0.790
## 318 data.318 numeric 40 1.000 2.290
## 334 data.334 numeric 40 1.000 -0.630
## 340 data.340 numeric 40 1.000 -0.570
## 350 data.350 numeric 40 1.000 -0.320
## 380 data.380 numeric 29 0.725 0.000
## 393 data.393 numeric 40 1.000 -0.690
## 394 data.394 numeric 34 0.850 0.000
## 404 data.404 numeric 28 0.700 0.000
## 411 data.411 numeric 28 0.700 0.000
## 414 data.414 numeric 40 1.000 -0.150
## 417 data.417 numeric 40 1.000 0.025
## 430 data.430 numeric 29 0.725 0.000
## 431 data.431 numeric 40 1.000 0.390
## 455 data.455 numeric 40 1.000 -0.355
## 489 data.489 numeric 40 1.000 -0.725
## 515 data.515 numeric 35 0.875 0.000
## 520 data.520 numeric 26 0.650 0.000
## 561 data.561 numeric 17 0.425 0.000
## 614 data.614 numeric 40 1.000 -0.385
## 710 data.710 numeric 40 1.000 -0.450
## 711 data.711 numeric 40 1.000 -0.315
## 713 data.713 numeric 40 1.000 -0.010
## 720 data.720 numeric 40 1.000 0.320
## 730 data.730 numeric 40 1.000 -0.080
## 753 data.753 numeric 29 0.725 0.000
## 754 data.754 numeric 30 0.750 0.000
## 755 data.755 numeric 25 0.625 0.000
## 756 data.756 numeric 27 0.675 0.000
## 765 data.765 numeric 40 1.000 -0.475
## 812 data.812 numeric 40 1.000 0.168
## 819 data.819 numeric 40 1.000 -0.020
## 851 data.851 numeric 40 1.000 0.160
## 852 data.852 numeric 40 1.000 0.360
## 897 data.897 numeric 35 0.875 0.000
## 958 data.958 numeric 40 1.000 -0.005
## 960 data.960 numeric 40 1.000 0.000
## 972 data.972 numeric 26 0.650 0.000
## 989 data.989 numeric 40 1.000 -0.055
## 1010 data.1010 numeric 40 1.000 0.325
## 1030 data.1030 numeric 40 1.000 -0.440
## 1038 data.1038 numeric 40 1.000 -0.330
## 1039 data.1039 numeric 40 1.000 -0.245
## 1056 data.1056 numeric 40 1.000 0.585
## 1063 data.1063 numeric 40 1.000 0.860
## 1067 data.1067 numeric 28 0.700 0.000
## 1071 data.1071 numeric 35 0.875 0.000
## 1072 data.1072 numeric 40 1.000 -1.580
## 1096 data.1096 numeric 33 0.825 0.000
## 1105 data.1105 numeric 40 1.000 2.040
## 1106 data.1106 numeric 40 1.000 2.670
## 1118 data.1118 numeric 40 1.000 -0.415
## 1129 data.1129 numeric 40 1.000 -0.020
## 1141 data.1141 numeric 40 1.000 -0.670
## 1151 data.1151 numeric 40 1.000 -1.295
## 1177 data.1177 numeric 40 1.000 -0.220
## 1230 data.1230 numeric 40 1.000 -0.370
## 1233 data.1233 numeric 40 1.000 0.810
## 1237 data.1237 numeric 40 1.000 -0.510
## 1290 data.1290 numeric 40 1.000 -0.420
## 1293 data.1293 numeric 40 1.000 -0.530
## 1333 data.1333 numeric 28 0.700 0.000
## 1346 data.1346 numeric 40 1.000 -0.425
## 1351 data.1351 numeric 28 0.700 0.000
## 1370 data.1370 numeric 40 1.000 0.160
## 1378 data.1378 numeric 23 0.575 0.000
## 1382 data.1382 numeric 13 0.325 0.000
## 1383 data.1383 numeric 27 0.675 0.000
## 1384 data.1384 numeric 35 0.875 0.000
## 1386 data.1386 numeric 32 0.800 0.000
## 1393 data.1393 numeric 29 0.725 0.000
## 1399 data.1399 numeric 28 0.700 0.000
## 1404 data.1404 numeric 40 1.000 0.515
## 1409 data.1409 numeric 20 0.500 0.000
## 1457 data.1457 numeric 40 1.000 0.080
## 1478 data.1478 numeric 31 0.775 0.000
## 1493 data.1493 numeric 40 1.000 -1.380
## 1494 data.1494 numeric 40 1.000 -0.430
## 1534 data.1534 numeric 40 1.000 -0.680
## 1543 data.1543 numeric 40 1.000 -0.540
## 1549 data.1549 numeric 40 1.000 -1.120
## 1550 data.1550 numeric 40 1.000 -0.530
## 1615 data.1615 numeric 40 1.000 -0.930
## 1616 data.1616 numeric 40 1.000 -0.830
## 1641 data.1641 numeric 40 1.000 -0.305
## 1669 data.1669 numeric 40 1.000 0.600
## 1709 data.1709 numeric 40 1.000 -0.580
## 1735 data.1735 numeric 40 1.000 -0.450
## 1754 data.1754 numeric 40 1.000 0.750
## 1807 data.1807 numeric 40 1.000 -0.780
## 1833 data.1833 numeric 40 1.000 -0.350
## 1842 data.1842 numeric 40 1.000 -0.230
## 1915 data.1915 numeric 40 1.000 -0.790
## 1956 data.1956 numeric 40 1.000 -0.095
## 1972 data.1972 numeric 40 1.000 -1.610
## 1992 data.1992 numeric 40 1.000 -0.255
## 2000 data.2000 numeric 40 1.000 -0.485
## 2025 data.2025 numeric 40 1.000 -2.600
## 2026 data.2026 numeric 40 1.000 -1.025
## 2041 data.2041 numeric 40 1.000 -1.140
## 2052 data.2052 numeric 40 1.000 -0.520
## 2053 data.2053 numeric 40 1.000 -0.220
## 2066 data.2066 numeric 30 0.750 0.000
## 2072 data.2072 numeric 29 0.725 0.000
## 2077 data.2077 numeric 35 0.875 0.000
## 2080 data.2080 numeric 23 0.575 0.000
## 2081 data.2081 numeric 20 0.500 0.000
## 2082 data.2082 numeric 24 0.600 0.000
## 2083 data.2083 numeric 27 0.675 0.000
## 2084 data.2084 numeric 35 0.875 0.000
## 2085 data.2085 numeric 29 0.725 0.000
## 2086 data.2086 numeric 24 0.600 0.000
## 2102 data.2102 numeric 24 0.600 0.000
## 2134 data.2134 numeric 40 1.000 0.305
## 2156 data.2156 numeric 40 1.000 0.570
## 2243 data.2243 numeric 40 1.000 -0.075
## 2247 data.2247 numeric 40 1.000 -1.230
## 2251 data.2251 numeric 40 1.000 -0.530
## 2256 data.2256 numeric 40 1.000 -0.100
## 2270 data.2270 numeric 40 1.000 -0.360
## 2294 data.2294 numeric 40 1.000 -0.100
## 2328 data.2328 numeric 40 1.000 -0.775
## 2337 data.2337 numeric 40 1.000 -0.760
## 2381 data.2381 numeric 40 1.000 -0.795
## 2404 data.2404 numeric 40 1.000 0.180
## 2413 data.2413 numeric 40 1.000 0.665
## 2417 data.2417 numeric 40 1.000 -0.515
## 2426 data.2426 numeric 40 1.000 -1.000
## 2433 data.2433 numeric 40 1.000 -0.180
## 2438 data.2438 numeric 40 1.000 -1.165
## 2452 data.2452 numeric 40 1.000 -0.380
## 2539 data.2539 numeric 40 1.000 -0.600
## 2549 data.2549 numeric 29 0.725 0.000
## 2555 data.2555 numeric 40 1.000 -1.590
## 2556 data.2556 numeric 40 1.000 -0.790
## 2593 data.2593 numeric 34 0.850 0.000
## 2600 data.2600 numeric 40 1.000 0.350
## 2632 data.2632 numeric 40 1.000 -0.150
## 2643 data.2643 numeric 40 1.000 0.260
## 2689 data.2689 numeric 40 1.000 0.410
## 2732 data.2732 numeric 40 1.000 -0.390
## 2754 data.2754 numeric 40 1.000 0.830
## 2770 data.2770 numeric 40 1.000 -0.350
## 2831 data.2831 numeric 40 1.000 -0.280
## 2896 data.2896 numeric 40 1.000 -1.232
## 2909 data.2909 numeric 40 1.000 -0.540
## 2944 data.2944 numeric 34 0.850 0.000
## 2971 data.2971 numeric 40 1.000 -0.320
## 2986 data.2986 numeric 30 0.750 0.000
## 2997 data.2997 numeric 40 1.000 -0.060
## 3019 data.3019 numeric 40 1.000 0.065
## 3034 data.3034 numeric 40 1.000 -1.850
## 3068 data.3068 numeric 40 1.000 -1.015
## 3091 data.3091 numeric 33 0.825 0.000
## 3101 data.3101 numeric 40 1.000 -0.480
## 3104 data.3104 numeric 40 1.000 0.395
## 3109 data.3109 numeric 26 0.650 0.000
## 3111 data.3111 numeric 40 1.000 0.660
## 3116 data.3116 numeric 22 0.550 0.000
## 3141 data.3141 numeric 40 1.000 -0.250
## 3143 data.3143 numeric 40 1.000 -0.180
## 3147 data.3147 numeric 40 1.000 -0.260
## 3256 data.3256 numeric 27 0.675 0.000
## 3262 data.3262 numeric 26 0.650 0.000
## 3268 data.3268 numeric 40 1.000 0.060
## 3270 data.3270 numeric 40 1.000 0.450
## 3272 data.3272 numeric 40 1.000 0.935
## 3285 data.3285 numeric 40 1.000 -0.220
## 3368 data.3368 numeric 27 0.675 0.000
## 3371 data.3371 numeric 17 0.425 0.000
## 3372 data.3372 numeric 19 0.475 0.000
## 3373 data.3373 numeric 29 0.725 0.000
## 3377 data.3377 numeric 40 1.000 -0.610
## 3389 data.3389 numeric 40 1.000 0.060
## 3407 data.3407 numeric 40 1.000 0.920
## 3429 data.3429 numeric 40 1.000 0.350
## 3459 data.3459 numeric 35 0.875 0.000
## 3460 data.3460 numeric 40 1.000 -0.240
## 3472 data.3472 numeric 40 1.000 -1.325
## 3491 data.3491 numeric 34 0.850 0.000
## 3496 data.3496 numeric 40 1.000 -0.950
## 3514 data.3514 numeric 33 0.825 0.000
## 3515 data.3515 numeric 40 1.000 -0.675
## 3517 data.3517 numeric 40 1.000 0.325
## 3523 data.3523 numeric 40 1.000 0.365
## 3525 data.3525 numeric 29 0.725 0.000
## 3534 data.3534 numeric 40 1.000 0.490
## 3558 data.3558 numeric 40 1.000 -1.298
## 3599 data.3599 numeric 35 0.875 0.000
## 3647 data.3647 numeric 40 1.000 0.117
## 3654 data.3654 numeric 40 1.000 1.110
## 3725 data.3725 numeric 27 0.675 0.000
## 3747 data.3747 numeric 33 0.825 0.000
## 3752 data.3752 numeric 40 1.000 0.430
## 3792 data.3792 numeric 40 1.000 -0.760
## 3806 data.3806 numeric 40 1.000 -0.235
## 3828 data.3828 numeric 40 1.000 -1.720
## 3837 data.3837 numeric 33 0.825 0.000
## 3861 data.3861 numeric 40 1.000 0.430
## 3865 data.3865 numeric 40 1.000 0.495
## 3870 data.3870 numeric 40 1.000 0.085
## 3890 data.3890 numeric 40 1.000 -0.660
## 3891 data.3891 numeric 40 1.000 -0.385
## 3894 data.3894 numeric 29 0.725 0.000
## 3917 data.3917 numeric 40 1.000 -0.180
## 3924 data.3924 numeric 40 1.000 0.967
## 3944 data.3944 numeric 40 1.000 0.500
## 3948 data.3948 numeric 40 1.000 -0.250
## 3957 data.3957 numeric 35 0.875 0.000
## 3967 data.3967 numeric 40 1.000 0.230
## 3974 data.3974 numeric 40 1.000 -0.005
## 3982 data.3982 numeric 40 1.000 0.315
## 4003 data.4003 numeric 40 1.000 0.770
## 4043 data.4043 numeric 40 1.000 0.560
## 4049 data.4049 numeric 40 1.000 0.830
## 4053 data.4053 numeric 40 1.000 -0.720
## 4057 data.4057 numeric 40 1.000 1.800
## 4059 data.4059 numeric 40 1.000 -0.360
## 4060 data.4060 numeric 40 1.000 -0.080
## 4064 data.4064 numeric 40 1.000 0.480
## 4074 data.4074 numeric 32 0.800 0.000
## 4075 data.4075 numeric 28 0.700 0.000
## 4084 data.4084 numeric 40 1.000 0.860
## 4092 data.4092 numeric 40 1.000 1.300
## 4094 data.4094 numeric 40 1.000 1.490
## 4096 data.4096 numeric 35 0.875 0.000
## 4110 data.4110 numeric 32 0.800 0.000
## 4118 data.4118 numeric 40 1.000 0.650
## 4126 data.4126 numeric 40 1.000 0.370
## 4150 data.4150 numeric 40 1.000 0.315
## 4153 data.4153 numeric 40 1.000 3.170
## 4155 data.4155 numeric 40 1.000 0.650
## 4168 data.4168 numeric 40 1.000 1.290
## 4175 data.4175 numeric 40 1.000 -0.095
## 4184 data.4184 numeric 34 0.850 0.000
## 4193 data.4193 numeric 40 1.000 0.480
## 4198 data.4198 numeric 40 1.000 0.220
## 4215 data.4215 numeric 40 1.000 -0.245
## 4216 data.4216 numeric 40 1.000 -1.070
## 4218 data.4218 numeric 40 1.000 0.655
## 4223 data.4223 numeric 40 1.000 0.570
## 4229 data.4229 numeric 40 1.000 -0.830
## 4239 data.4239 numeric 40 1.000 0.090
## 4243 data.4243 numeric 40 1.000 0.495
## 4245 data.4245 numeric 40 1.000 1.745
## 4251 data.4251 numeric 40 1.000 -0.485
## 4262 data.4262 numeric 40 1.000 1.520
## 4267 data.4267 numeric 40 1.000 2.280
## 4274 data.4274 numeric 40 1.000 0.400
## 4280 data.4280 numeric 29 0.725 0.000
## 4288 data.4288 numeric 40 1.000 1.630
## 4289 data.4289 numeric 40 1.000 0.390
## 4290 data.4290 numeric 35 0.875 0.000
## 4307 data.4307 numeric 29 0.725 0.000
## 4308 data.4308 numeric 34 0.850 0.000
## 4315 data.4315 numeric 40 1.000 0.530
## 4317 data.4317 numeric 40 1.000 0.490
## 4319 data.4319 numeric 23 0.575 0.000
## 4320 data.4320 numeric 33 0.825 0.000
## 4321 data.4321 numeric 40 1.000 0.275
## 4340 data.4340 numeric 40 1.000 0.050
## 4341 data.4341 numeric 40 1.000 1.135
## 4348 data.4348 numeric 35 0.875 0.000
## 4353 data.4353 numeric 40 1.000 3.215
## 4354 data.4354 numeric 40 1.000 3.850
## 4355 data.4355 numeric 35 0.875 0.000
## 4357 data.4357 numeric 40 1.000 1.230
## 4363 data.4363 numeric 40 1.000 1.030
## 4374 data.4374 numeric 40 1.000 0.060
## 4383 data.4383 numeric 28 0.700 0.000
## 4384 data.4384 numeric 40 1.000 3.290
## 4385 data.4385 numeric 40 1.000 -0.500
## 4388 data.4388 numeric 40 1.000 2.485
## 4395 data.4395 numeric 40 1.000 0.515
## 4399 data.4399 numeric 40 1.000 -0.070
## 4409 data.4409 numeric 40 1.000 -0.080
## 4419 data.4419 numeric 29 0.725 0.000
## 4425 data.4425 numeric 29 0.725 0.000
## 4426 data.4426 numeric 31 0.775 0.000
## 4444 data.4444 numeric 40 1.000 -0.600
## 4455 data.4455 numeric 40 1.000 1.475
## 4458 data.4458 numeric 32 0.800 0.000
## 4459 data.4459 numeric 22 0.550 0.000
## 4460 data.4460 numeric 26 0.650 0.000
## 4484 data.4484 numeric 40 1.000 0.400
## 4499 data.4499 numeric 40 1.000 -0.310
## 4502 data.4502 numeric 34 0.850 0.000
## 4531 data.4531 numeric 40 1.000 -0.760
## 4540 data.4540 numeric 40 1.000 -0.425
## 4541 data.4541 numeric 40 1.000 -0.108
## 4549 data.4549 numeric 40 1.000 -2.170
## 4562 data.4562 numeric 40 1.000 -0.840
## 4575 data.4575 numeric 40 1.000 -0.335
## 4576 data.4576 numeric 40 1.000 -0.620
## 4647 data.4647 numeric 40 1.000 -0.345
## 4658 data.4658 numeric 40 1.000 0.885
## 4671 data.4671 numeric 40 1.000 -0.540
## 4678 data.4678 numeric 40 1.000 0.055
## 4679 data.4679 numeric 40 1.000 0.090
## 4691 data.4691 numeric 40 1.000 1.795
## 4692 data.4692 numeric 34 0.850 0.000
## 4701 data.4701 numeric 35 0.875 0.000
## 4704 data.4704 numeric 26 0.650 0.000
## 4708 data.4708 numeric 31 0.775 0.000
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## 4935 0.000 1 0
## 4942 0.000 1 0
## 4944 -0.445 8 1
## 4956 0.000 1 0
## 4976 0.000 1 0
## 4996 0.000 1 0
## 5035 -0.180 6 1
## 5044 0.000 1 0
## 5072 0.000 1 0
## 5099 0.000 1 0
## 5104 0.000 1 0
## 5106 0.000 1 0
## 5121 0.000 1 0
## 5142 0.000 1 0
## 5143 0.000 1 0
## 5196 -0.165 7 1
## 5221 0.000 1 0
## 5224 0.130 7 1
## 5230 0.000 1 0
## 5239 0.000 1 0
## 5255 0.000 1 0
## 5260 -0.515 14 2
## 5261 -0.140 12 2
## 5277 0.000 1 0
## 5283 0.000 1 0
## 5289 0.000 1 0
## 5291 0.000 1 0
## 5292 0.080 6 1
## 5300 -0.655 7 1
## 5324 0.000 1 0
## 5337 0.345 6 1
## 5342 0.000 1 0
## 5351 -0.620 9 1
## 5353 0.000 1 0
## 5358 0.000 1 0
## 5362 -0.750 9 1
## 5365 0.000 1 0
## 5367 2.810 8 1
## 5371 0.000 1 0
## 5375 0.000 1 0
## 5377 0.000 1 0
## 5378 0.000 1 0
## 5384 0.000 1 0
## 5390 0.000 1 0
## 5415 0.000 1 0
## 5417 0.000 1 0
## 5431 0.000 1 0
## 5435 1.250 12 1
## 5439 0.000 1 0
## 5460 0.000 1 0
## 5472 -1.440 14 1
## 5485 0.000 1 0
## 5502 0.000 1 0
## 5503 0.000 1 0
## 5506 1.940 7 1
## 5510 -0.450 14 1
## 5511 1.770 6 1
## 5540 0.000 1 0
## 5544 0.000 1 0
## 5553 0.000 1 0
## 5556 0.000 1 0
## 5561 0.000 1 0
## 5569 0.000 1 0
## 5571 0.000 1 0
## 5582 3.045 6 1
## 5588 0.000 1 0
## 5608 0.000 1 0
## 5631 1.330 9 1
## 5641 0.000 1 0
## 5648 0.000 1 0
## 5655 0.000 1 0
## 5660 2.835 11 1
## 5674 0.000 1 0
## 5695 1.750 6 1
## 5696 4.890 29 1
## 5702 4.200 8 1
## 5703 3.960 10 1
## 5712 5.365 11 1
## 5728 0.000 1 0
## 5738 0.000 1 0
## 5753 0.000 1 0
## 5758 0.000 1 0
## 5785 0.000 1 0
## 5795 0.000 1 0
## 5796 0.000 1 0
## 5797 0.000 1 0
## 5801 0.000 1 0
## 5804 0.000 1 0
## 5814 0.000 1 0
## 5815 0.000 1 0
## 5821 0.000 1 0
## 5822 0.000 1 0
## 5829 0.000 1 0
## 5836 0.000 1 0
## 5837 0.000 1 0
## 5838 0.000 1 0
## 5847 0.000 1 0
## 5853 0.000 1 0
## 5861 0.000 1 0
## 5876 0.000 1 0
## 5882 0.000 1 0
## 5884 0.000 1 0
## 5885 0.000 1 0
## 5886 0.000 1 0
## 5891 0.000 1 0
## 5892 0.000 1 0
## 5896 0.000 1 0
## 5898 0.000 1 0
## 5903 0.000 1 0
## 5911 0.000 1 0
## 5917 0.000 1 0
## 5919 0.000 1 0
## 5922 0.000 1 0
## 5936 0.000 1 0
## 5937 0.000 1 0
## 5941 0.000 1 0
## 5944 0.000 1 0
## 5945 0.000 1 0
## 5947 0.000 1 0
## 5948 3.750 6 1
## 5955 0.000 1 0
## 5957 0.000 1 0
## 5960 0.000 1 0
## 5962 0.000 1 0
## 5964 0.000 1 0
## 5973 2.625 6 1
## 5986 0.000 1 0
## 6010 0.000 1 0
## 6015 0.000 1 0
## 6039 0.000 1 0
## 6047 0.870 7 1
## 6054 0.000 1 0
## 6055 0.000 1 0
## 6057 -0.210 14 2
## 6063 0.000 1 0
## 6071 0.000 1 0
## 6081 0.000 1 0
## 6085 0.000 1 0
## 6090 1.875 9 1
## 6091 0.000 1 0
## 6124 0.000 1 0
## 6132 0.000 1 0
## 6134 0.000 1 0
## 6136 0.000 1 0
## 6145 0.970 22 1
## 6147 0.000 1 0
## 6148 0.000 1 0
## 6149 0.000 1 0
## 6150 0.000 1 0
## 6151 0.000 1 0
## 6152 0.000 1 0
## 6155 0.000 1 0
## 6157 0.000 1 0
## 6163 1.915 6 1
## 6170 0.000 1 0
## 6172 0.000 1 0
## 6184 1.060 6 1
## 6187 0.000 1 0
## 6189 0.000 1 0
## 6190 0.000 1 0
## 6227 0.000 1 0
## 6230 0.000 1 0
## 6236 0.000 1 0
## 6243 -2.560 12 1
## 6247 0.000 1 0
## 6248 0.000 1 0
## 6262 0.000 1 0
## 6266 3.120 13 1
## 6267 1.045 11 2
## 6268 -2.180 6 1
## 6273 0.000 1 0
## 6279 0.070 7 1
## 6300 0.000 1 0
## 6304 0.000 1 0
## 6305 2.000 15 1
## 6309 0.000 1 0
## 6314 -0.230 12 1
## 6318 0.000 1 0
## 6321 -0.360 10 1
## 6335 0.000 1 0
## 6337 0.000 1 0
## 6342 -0.010 14 2
## 6346 0.000 1 0
## 6350 0.000 1 0
## 6353 0.000 1 0
## 6385 -0.720 9 1
## 6391 0.000 1 0
## 6401 0.000 1 0
## 6411 0.920 11 1
## 6412 3.270 14 1
## 6413 5.250 14 1
## 6429 4.605 20 2
## 6430 6.700 24 1
## 6434 2.560 7 1
## 6451 -0.515 11 2
## 6453 2.790 6 1
## 6454 2.115 7 1
## 6457 2.590 14 1
## 6458 2.230 10 1
## 6462 0.815 10 1
## 6478 0.000 1 0
## 6479 0.000 1 0
## 6482 0.000 1 0
## 6495 -1.045 18 1
## 6513 0.000 1 0
## 6521 -0.175 14 2
## 6531 0.000 1 0
## 6533 0.000 1 0
## 6547 1.080 10 1
## 6548 0.000 1 0
## 6561 -0.900 16 1
## 6564 0.000 1 0
## 6565 -1.190 19 2
## 6566 -0.090 28 1
## 6570 0.900 11 2
## 6583 0.000 1 0
## 6593 -0.195 14 2
## 6600 0.000 1 0
## 6612 4.885 8 1
## 6614 4.090 15 1
## 6615 4.020 11 1
## 6616 3.935 10 1
## 6622 1.110 8 1
## 6635 6.945 6 1
## 6639 0.000 1 0
## 6641 -0.260 7 1
## 6642 2.810 8 1
## 6643 0.000 1 0
## 6644 5.640 6 1
## 6646 0.000 1 0
## 6656 -0.750 6 1
## 6661 0.000 1 0
## 6673 -2.010 14 1
## 6674 0.260 11 2
## 6691 0.000 1 0
## 6714 0.330 13 1
## 6717 0.000 1 0
## 6718 0.000 1 0
## 6719 0.000 1 0
## 6733 0.000 1 0
## 6736 0.000 1 0
## 6773 0.000 1 0
## 6780 0.000 1 0
## 6817 -0.875 16 1
## 6824 0.000 1 0
## 6827 -0.680 16 2
## First.Second.Mode.Ratio Minimum Mean Median Maximum Skewness Kurtosis
## 10 Inf -1.260 0.163 0.245 1.490 -0.192 2.430
## 14 15.000 -0.575 0.045 0.000 1.715 2.306 9.741
## 30 Inf -1.670 -0.002 0.065 1.130 -0.770 4.532
## 43 Inf -1.705 0.195 0.235 1.475 -0.505 3.467
## 53 Inf -0.920 0.109 -0.060 1.670 0.686 2.858
## 81 7.000 -1.525 -0.016 0.000 2.475 0.426 4.980
## 83 8.500 -1.650 0.112 0.000 2.800 1.058 4.825
## 112 Inf -1.865 0.817 -0.160 6.685 1.251 3.347
## 124 8.000 -1.995 -0.097 0.000 5.255 3.050 18.210
## 125 6.000 -2.370 -0.080 0.000 4.680 1.843 11.792
## 126 8.000 -2.035 0.134 0.000 2.505 0.242 3.062
## 128 12.000 -2.360 0.078 0.000 4.650 1.223 4.686
## 130 7.000 -1.595 0.277 0.000 4.155 1.478 4.959
## 133 8.500 -5.130 -0.710 0.000 4.165 -0.350 3.009
## 134 6.000 -2.960 0.200 0.000 6.245 0.905 3.605
## 135 5.500 -1.760 0.039 0.000 3.050 0.679 3.530
## 137 16.000 -1.620 -0.143 0.000 1.830 0.356 3.330
## 139 10.000 -1.750 -0.159 0.000 3.580 1.557 6.683
## 141 6.000 -1.070 0.229 0.000 3.300 1.884 7.402
## 145 Inf -2.290 0.046 0.100 1.360 -0.635 2.867
## 175 Inf -1.175 0.144 0.150 1.455 -0.237 3.424
## 179 6.000 -1.675 0.224 0.000 3.415 0.973 3.367
## 189 Inf -2.520 0.446 -0.085 4.560 1.049 3.710
## 198 13.000 -1.210 0.558 0.000 4.490 1.226 3.693
## 204 7.000 -1.830 0.213 0.000 4.980 1.688 5.896
## 211 7.000 -1.810 0.207 0.000 3.370 0.710 3.371
## 212 9.000 -1.770 0.186 0.000 5.510 1.945 7.996
## 230 5.500 -1.625 0.217 0.000 4.795 2.319 8.640
## 234 Inf -1.290 0.126 -0.015 2.910 0.851 3.015
## 245 Inf -2.500 0.379 0.320 4.060 0.196 1.825
## 250 Inf -1.630 0.010 -0.060 1.850 0.228 2.345
## 255 7.000 -3.240 -0.274 0.000 2.820 -0.261 2.159
## 256 Inf -3.020 0.881 -0.285 6.340 0.539 1.933
## 259 14.000 -4.290 -0.319 0.000 2.600 -0.914 3.092
## 263 12.000 -2.050 0.004 0.000 3.450 0.531 3.089
## 269 11.000 -2.130 0.145 0.000 2.890 0.292 2.596
## 276 6.000 -2.710 -0.165 0.000 3.430 0.358 3.018
## 279 Inf -1.055 0.219 0.180 2.500 0.897 5.315
## 291 7.000 -1.760 0.087 0.000 2.670 0.583 3.841
## 293 Inf -1.240 0.218 0.015 2.805 0.937 4.374
## 297 Inf -1.530 0.123 0.070 1.860 0.302 3.415
## 301 Inf -4.315 -0.162 0.162 2.835 -0.875 3.940
## 306 Inf -2.815 0.140 0.175 2.105 -0.489 3.070
## 309 Inf -1.290 0.349 0.035 3.630 1.188 4.619
## 318 Inf -1.890 0.171 0.165 2.890 0.390 2.563
## 334 Inf -0.630 0.050 0.073 0.950 0.196 2.159
## 340 Inf -1.820 -0.178 -0.262 1.610 0.011 1.997
## 350 Inf -1.330 0.155 0.065 1.250 -0.194 2.438
## 380 5.500 -1.140 -0.031 0.000 1.910 0.775 6.515
## 393 Inf -1.420 -0.029 -0.075 1.620 0.286 2.394
## 394 7.000 -1.960 -0.083 0.000 2.670 0.343 3.030
## 404 6.000 -0.700 0.267 0.000 4.410 2.278 7.836
## 411 5.500 -0.830 0.098 0.000 3.070 2.072 9.975
## 414 Inf -0.690 0.153 0.020 2.740 1.779 7.337
## 417 Inf -1.005 0.068 0.015 1.445 0.254 2.873
## 430 5.500 -1.120 0.030 0.000 2.840 2.069 9.400
## 431 Inf -1.650 0.130 0.035 3.020 0.502 3.480
## 455 Inf -0.995 0.081 -0.010 1.655 0.627 3.157
## 489 Inf -1.040 0.098 -0.008 1.555 0.303 2.694
## 515 6.000 -3.620 -0.179 0.000 3.345 -0.299 2.194
## 520 5.500 -0.770 0.295 0.000 4.110 2.168 7.050
## 561 11.500 -1.685 -0.059 0.000 1.665 0.117 6.720
## 614 Inf -1.585 -0.050 0.000 0.875 -0.774 4.341
## 710 Inf -1.360 0.088 0.105 1.390 0.036 2.701
## 711 Inf -1.175 0.070 -0.030 1.515 0.342 2.811
## 713 Inf -0.980 0.009 -0.020 0.740 -0.353 3.383
## 720 Inf -0.890 0.021 0.015 0.960 0.209 2.752
## 730 Inf -1.070 -0.067 -0.030 0.780 -0.399 2.871
## 753 5.500 -1.965 0.298 0.000 5.995 1.466 5.642
## 754 11.000 -1.370 0.358 0.000 5.540 2.138 6.663
## 755 16.000 -1.500 0.447 0.000 5.790 2.352 7.345
## 756 6.000 -3.330 0.215 0.000 4.340 1.354 6.303
## 765 Inf -1.335 0.044 0.085 0.905 -0.585 4.142
## 812 Inf -2.533 -0.086 0.045 0.887 -1.070 4.118
## 819 Inf -1.470 0.118 0.115 1.560 -0.038 3.669
## 851 Inf -1.070 -0.042 -0.025 0.920 -0.159 2.590
## 852 Inf -2.320 -0.011 -0.105 1.760 -0.042 3.473
## 897 6.000 -2.650 0.157 0.000 3.100 0.062 2.194
## 958 Inf -0.935 0.111 0.000 3.655 2.383 12.069
## 960 Inf -2.130 -0.111 -0.135 3.680 1.387 8.577
## 972 15.000 -1.380 0.315 0.000 5.550 2.161 7.814
## 989 Inf -1.525 -0.044 -0.130 1.855 0.399 2.285
## 1010 Inf -1.655 0.039 0.220 1.585 -0.366 2.287
## 1030 Inf -1.030 0.043 0.005 1.030 0.208 2.843
## 1038 Inf -2.570 -0.138 0.040 2.230 -0.133 1.966
## 1039 Inf -1.435 0.022 -0.045 0.935 -0.184 2.409
## 1056 Inf -1.125 0.017 -0.030 1.135 -0.025 2.709
## 1063 Inf -2.440 0.115 -0.035 3.170 0.223 2.668
## 1067 13.000 -2.825 0.178 0.000 4.175 0.660 3.170
## 1071 6.000 -1.445 0.061 0.000 1.740 0.374 5.004
## 1072 Inf -1.785 -0.095 0.000 1.580 -0.113 2.331
## 1096 8.000 -2.040 0.221 0.000 2.640 0.412 3.135
## 1105 Inf -3.120 -0.207 -0.385 2.790 0.210 2.617
## 1106 Inf -4.290 -0.238 -0.435 2.950 -0.114 2.956
## 1118 Inf -0.925 -0.003 0.010 0.895 0.019 2.574
## 1129 Inf -0.860 0.115 0.075 1.730 0.817 5.195
## 1141 Inf -1.080 0.098 0.015 0.990 -0.190 2.342
## 1151 Inf -1.295 0.015 0.055 1.005 -0.302 3.138
## 1177 Inf -1.680 -0.177 -0.180 1.080 -0.129 2.773
## 1230 Inf -0.740 -0.090 -0.050 0.650 -0.040 2.568
## 1233 Inf -1.160 -0.139 -0.045 1.210 0.013 2.944
## 1237 Inf -1.260 -0.017 -0.015 1.110 0.024 2.146
## 1290 Inf -1.410 -0.024 -0.070 0.850 -0.409 3.207
## 1293 Inf -0.760 0.000 -0.140 1.100 0.608 2.433
## 1333 5.500 -1.280 0.152 0.000 3.250 1.306 5.262
## 1346 Inf -2.185 -0.192 -0.040 1.455 -0.447 2.421
## 1351 5.500 -2.120 0.172 0.000 2.630 0.140 2.590
## 1370 Inf -1.130 -0.017 0.045 1.150 -0.030 2.952
## 1378 8.500 -1.015 0.009 0.000 1.545 0.866 4.550
## 1382 28.000 -0.850 0.005 0.000 1.220 1.087 6.742
## 1383 14.000 -1.720 -0.004 0.000 2.000 0.096 4.203
## 1384 6.000 -1.190 0.082 0.000 1.740 0.550 3.082
## 1386 9.000 -1.410 0.042 0.000 1.190 -0.184 2.520
## 1393 12.000 -1.350 -0.079 0.000 2.100 0.327 3.632
## 1399 13.000 -2.270 -0.020 0.000 2.070 0.293 3.971
## 1404 Inf -1.985 -0.027 -0.010 2.075 0.029 3.084
## 1409 10.000 -1.165 -0.061 0.000 0.665 -0.800 3.607
## 1457 Inf -1.080 -0.080 -0.070 1.280 0.287 3.827
## 1478 10.000 -2.365 -0.032 0.000 3.035 0.681 3.137
## 1493 Inf -1.380 -0.024 0.030 1.180 -0.260 2.938
## 1494 Inf -0.930 -0.040 -0.015 0.970 0.140 2.746
## 1534 Inf -1.070 -0.044 -0.015 0.760 -0.252 2.189
## 1543 Inf -0.770 -0.064 -0.045 0.820 0.290 2.416
## 1549 Inf -1.130 -0.078 0.000 0.720 -0.588 2.661
## 1550 Inf -1.110 -0.116 -0.100 0.920 0.016 2.018
## 1615 Inf -0.930 0.000 -0.030 1.350 0.658 4.342
## 1616 Inf -0.830 -0.075 -0.065 0.590 -0.075 2.175
## 1641 Inf -1.025 -0.076 0.010 0.555 -0.320 2.215
## 1669 Inf -1.930 -0.242 -0.095 0.800 -0.633 2.815
## 1709 Inf -1.100 -0.125 -0.095 1.020 0.063 1.956
## 1735 Inf -0.730 -0.103 -0.115 0.460 -0.028 2.526
## 1754 Inf -0.820 0.095 -0.005 2.130 0.775 3.518
## 1807 Inf -0.830 -0.094 -0.065 0.740 -0.116 2.093
## 1833 Inf -1.240 -0.112 -0.100 1.330 0.135 3.593
## 1842 Inf -1.850 -0.110 -0.185 1.110 -0.075 2.710
## 1915 Inf -1.025 -0.036 -0.030 0.800 -0.264 2.401
## 1956 Inf -1.075 -0.112 -0.100 0.735 -0.206 2.722
## 1972 Inf -1.610 -0.063 0.000 1.095 -0.222 2.572
## 1992 Inf -1.355 0.020 -0.045 1.455 0.181 2.748
## 2000 Inf -0.835 -0.044 -0.040 0.795 0.051 2.653
## 2025 Inf -3.770 -0.705 -0.305 1.300 -0.819 2.489
## 2026 Inf -1.565 -0.127 -0.030 1.205 -0.075 2.331
## 2041 Inf -1.140 0.016 -0.060 1.870 0.818 3.740
## 2052 Inf -1.340 -0.168 -0.350 1.070 0.217 1.839
## 2053 Inf -1.280 -0.136 -0.162 1.060 -0.001 3.010
## 2066 11.000 -1.475 -0.174 0.000 2.035 0.754 4.205
## 2072 12.000 -1.140 0.125 0.000 2.810 1.554 5.234
## 2077 6.000 -1.010 -0.050 0.000 1.020 0.110 3.051
## 2080 8.000 -1.660 -0.219 0.000 0.830 -0.843 3.612
## 2081 21.000 -1.460 -0.121 0.000 1.670 0.289 4.868
## 2082 8.000 -1.560 -0.114 0.000 1.570 -0.063 4.225
## 2083 6.500 -1.610 -0.100 0.000 1.580 0.223 5.844
## 2084 6.000 -0.985 -0.181 -0.055 0.425 -0.537 2.360
## 2085 12.000 -1.340 0.142 0.000 3.190 1.395 4.795
## 2086 17.000 -1.510 -0.205 0.000 1.130 -0.454 3.197
## 2102 8.000 -2.480 -0.046 0.000 2.930 0.482 4.544
## 2134 Inf -0.935 -0.063 -0.172 1.395 0.873 3.465
## 2156 Inf -1.550 -0.150 -0.130 0.730 -0.465 2.998
## 2243 Inf -2.395 -0.143 -0.015 1.205 -0.856 3.898
## 2247 Inf -1.460 -0.089 -0.070 1.400 -0.031 2.425
## 2251 Inf -0.950 0.105 -0.005 1.340 0.236 2.121
## 2256 Inf -1.300 -0.094 -0.070 1.340 0.063 1.959
## 2270 Inf -1.510 -0.093 0.000 0.920 -0.636 2.937
## 2294 Inf -1.935 -0.059 0.035 1.210 -0.681 4.210
## 2328 Inf -1.525 -0.006 0.000 1.395 -0.152 3.716
## 2337 Inf -1.410 -0.030 -0.255 1.800 0.507 2.183
## 2381 Inf -2.045 0.015 0.065 1.535 -0.355 2.401
## 2404 Inf -1.120 -0.031 0.010 1.140 -0.105 2.390
## 2413 Inf -0.835 -0.013 -0.075 1.415 0.503 2.871
## 2417 Inf -0.975 -0.023 -0.075 0.975 0.109 2.519
## 2426 Inf -2.250 0.007 0.190 1.750 -0.645 2.846
## 2433 Inf -1.550 -0.121 0.000 1.770 0.185 3.931
## 2438 Inf -1.165 0.000 -0.002 1.105 -0.132 2.877
## 2452 Inf -1.290 -0.059 -0.080 0.980 -0.277 3.408
## 2539 Inf -0.610 -0.038 -0.033 0.640 0.145 1.825
## 2549 12.000 -2.285 -0.114 0.000 0.915 -1.116 5.036
## 2555 Inf -1.590 0.024 -0.020 1.380 -0.195 2.371
## 2556 Inf -1.200 -0.055 0.000 1.160 -0.149 2.295
## 2593 7.000 -2.775 0.056 0.000 3.365 0.473 5.502
## 2600 Inf -1.350 -0.143 -0.055 0.810 -0.544 2.579
## 2632 Inf -1.070 -0.114 -0.105 1.340 0.444 2.515
## 2643 Inf -1.120 0.068 0.090 1.470 0.070 2.569
## 2689 Inf -0.840 -0.034 -0.060 0.620 -0.193 2.217
## 2732 Inf -1.220 -0.004 0.040 0.940 -0.230 2.424
## 2754 Inf -2.200 -0.079 -0.130 1.830 -0.088 3.148
## 2770 Inf -0.930 0.183 -0.015 2.735 1.325 4.928
## 2831 Inf -1.270 -0.024 -0.085 1.175 0.158 2.552
## 2896 Inf -1.232 -0.024 0.000 2.228 0.775 4.762
## 2909 Inf -0.550 -0.002 0.020 0.620 -0.005 1.901
## 2944 7.000 -2.110 -0.149 0.000 1.680 -0.088 2.785
## 2971 Inf -1.620 -0.035 0.000 1.340 -0.120 2.763
## 2986 11.000 -1.570 -0.149 0.000 1.530 0.066 3.740
## 2997 Inf -1.080 -0.079 -0.065 0.700 -0.253 3.051
## 3019 Inf -2.385 -0.055 -0.115 2.225 -0.002 7.274
## 3034 Inf -4.280 -0.731 -0.550 1.520 -0.895 3.090
## 3068 Inf -2.135 -0.027 0.092 1.955 -0.076 3.026
## 3091 8.000 -1.000 -0.083 0.000 0.600 -0.184 2.411
## 3101 Inf -1.195 -0.075 -0.005 0.990 -0.240 2.555
## 3104 Inf -0.725 -0.078 -0.045 0.685 0.112 2.153
## 3109 6.000 -1.240 -0.154 0.000 1.330 0.379 3.300
## 3111 Inf -1.180 -0.155 -0.155 1.430 0.476 3.444
## 3116 8.500 -0.890 -0.092 0.000 0.350 -1.079 3.439
## 3141 Inf -0.750 -0.035 -0.035 1.290 0.770 4.703
## 3143 Inf -0.690 -0.030 -0.015 0.520 -0.338 2.427
## 3147 Inf -1.530 -0.293 -0.295 0.900 -0.072 2.385
## 3256 14.000 -1.225 0.290 0.000 4.250 2.108 8.849
## 3262 15.000 -1.480 0.359 0.000 3.460 0.900 3.267
## 3268 Inf -1.130 0.044 0.000 1.210 -0.165 2.670
## 3270 Inf -1.040 0.176 0.140 1.890 0.623 3.463
## 3272 Inf -0.915 0.099 0.100 1.245 0.090 1.976
## 3285 Inf -1.210 0.157 0.190 2.270 0.466 3.951
## 3368 14.000 -2.530 -0.012 0.000 2.060 -0.215 2.834
## 3371 24.000 -1.660 -0.003 0.000 2.670 1.033 6.318
## 3372 10.500 -1.970 0.057 0.000 4.360 1.492 5.455
## 3373 12.000 -2.520 0.010 0.000 4.310 1.238 4.777
## 3377 Inf -2.810 0.059 0.165 0.960 -1.912 8.724
## 3389 Inf -2.070 -0.082 -0.052 1.330 -0.435 4.090
## 3407 Inf -0.950 0.105 0.040 1.410 0.168 2.707
## 3429 Inf -1.820 -0.082 -0.075 1.250 -0.497 2.754
## 3459 6.000 -1.670 0.043 0.000 2.090 0.566 3.381
## 3460 Inf -2.030 -0.049 -0.092 1.530 -0.090 2.161
## 3472 Inf -1.865 0.200 0.360 2.655 -0.009 2.851
## 3491 7.000 -2.120 0.379 0.000 4.200 0.928 3.052
## 3496 Inf -1.500 -0.175 -0.075 0.980 -0.228 1.885
## 3514 8.000 -0.690 0.031 0.000 1.550 1.138 6.370
## 3515 Inf -1.435 -0.053 -0.050 1.745 0.425 4.086
## 3517 Inf -1.005 -0.031 0.028 1.785 0.500 3.568
## 3523 Inf -2.925 0.013 -0.050 2.515 -0.097 2.962
## 3525 12.000 -5.125 -0.723 0.000 3.205 -0.293 2.158
## 3534 Inf -3.540 -0.144 -0.055 2.060 -0.726 4.101
## 3558 Inf -2.988 -0.121 0.082 1.333 -1.108 4.384
## 3599 6.000 -1.950 -0.117 0.000 0.800 -1.397 4.967
## 3647 Inf -1.363 -0.162 -0.018 1.257 -0.135 3.277
## 3654 Inf -1.340 0.022 0.035 1.190 -0.052 2.517
## 3725 6.000 -0.970 0.020 0.000 3.790 3.132 17.202
## 3747 8.000 -1.870 0.072 0.000 2.980 0.893 4.315
## 3752 Inf -0.750 -0.007 -0.025 1.390 0.780 4.051
## 3792 Inf -1.510 0.002 0.025 1.520 -0.151 2.701
## 3806 Inf -1.270 -0.008 0.028 1.075 -0.135 2.403
## 3828 Inf -3.890 -0.497 0.095 1.210 -0.942 2.493
## 3837 8.000 -1.970 0.011 0.000 1.990 0.399 3.147
## 3861 Inf -3.700 -0.066 0.050 1.170 -1.745 7.264
## 3865 Inf -4.295 -0.153 0.010 1.605 -1.856 7.757
## 3870 Inf -2.040 0.172 0.075 2.125 -0.083 3.571
## 3890 Inf -1.210 0.565 0.370 3.970 0.807 2.747
## 3891 Inf -2.305 -0.026 -0.030 1.275 -0.565 4.397
## 3894 5.500 -3.175 0.418 0.000 4.460 0.194 2.390
## 3917 Inf -2.470 -0.094 -0.035 2.050 -0.234 3.124
## 3924 Inf -2.423 -0.019 0.247 1.727 -0.552 2.219
## 3944 Inf -0.770 0.201 0.155 2.510 1.034 4.452
## 3948 Inf -3.700 0.174 0.385 2.010 -0.963 4.095
## 3957 6.000 -2.310 1.141 0.000 6.080 0.384 1.896
## 3967 Inf -1.060 0.231 0.232 1.660 0.040 2.142
## 3974 Inf -1.515 0.154 0.160 1.515 -0.193 3.282
## 3982 Inf -0.905 0.213 0.245 1.265 -0.188 2.442
## 4003 Inf -1.360 0.099 0.115 1.000 -0.533 3.244
## 4043 Inf -3.790 0.321 0.275 2.720 -0.525 4.311
## 4049 Inf -3.220 -0.098 0.095 2.405 -0.552 3.434
## 4053 Inf -0.980 0.134 0.180 1.080 -0.343 3.392
## 4057 Inf -4.970 0.447 0.438 3.280 -0.860 4.372
## 4059 Inf -2.500 0.216 0.288 3.050 -0.073 1.875
## 4060 Inf -2.980 0.487 0.565 3.950 -0.154 1.916
## 4064 Inf -1.530 0.286 0.058 2.750 0.336 2.141
## 4074 9.000 -1.315 0.031 0.000 3.625 2.214 10.497
## 4075 13.000 -2.020 0.151 0.000 3.165 0.541 2.719
## 4084 Inf -0.670 0.059 0.015 1.000 0.522 2.453
## 4092 Inf -2.140 0.166 0.140 2.700 0.165 1.961
## 4094 Inf -5.000 -0.286 -0.155 3.640 -0.162 1.949
## 4096 6.000 -2.060 0.202 0.000 3.210 0.356 3.199
## 4110 9.000 -2.225 0.229 0.000 2.775 -0.029 2.139
## 4118 Inf -1.020 0.167 0.080 1.420 0.038 1.890
## 4126 Inf -1.100 0.196 0.015 3.150 1.666 8.036
## 4150 Inf -0.785 0.149 0.055 1.145 0.129 1.946
## 4153 Inf -2.020 0.730 0.790 3.600 0.186 1.970
## 4155 Inf -0.690 0.075 0.040 0.960 0.092 2.255
## 4168 Inf -0.955 0.152 0.225 1.520 0.128 2.585
## 4175 Inf -0.805 0.319 0.195 2.685 0.933 3.494
## 4184 7.000 -1.560 0.712 0.000 4.140 0.743 2.205
## 4193 Inf -1.580 0.122 -0.025 2.260 0.731 4.186
## 4198 Inf -1.370 -0.107 -0.095 1.510 0.214 3.311
## 4215 Inf -1.335 0.255 0.000 2.385 0.654 2.436
## 4216 Inf -1.120 0.140 0.005 2.140 0.646 2.445
## 4218 Inf -1.780 0.351 0.055 3.615 0.715 2.649
## 4223 Inf -0.775 0.117 0.028 2.410 1.497 5.928
## 4229 Inf -1.035 0.260 0.030 2.130 0.793 2.674
## 4239 Inf -1.260 0.268 0.115 2.500 0.600 3.511
## 4243 Inf -1.975 0.381 0.330 3.005 -0.103 1.979
## 4245 Inf -3.695 0.411 0.530 2.695 -0.687 3.724
## 4251 Inf -2.575 0.654 0.650 3.095 -0.319 2.096
## 4262 Inf -2.430 -0.078 0.005 1.790 -0.139 2.029
## 4267 Inf -1.350 0.117 0.075 2.385 0.568 2.758
## 4274 Inf -0.970 0.183 0.065 2.140 0.714 3.115
## 4280 12.000 -4.220 -0.020 0.000 3.730 -0.067 2.248
## 4288 Inf -3.530 0.924 1.243 4.690 -0.258 2.074
## 4289 Inf -2.660 1.004 1.028 4.780 -0.021 1.921
## 4290 6.000 -1.745 0.346 0.260 2.765 0.241 3.100
## 4307 12.000 -2.340 0.401 0.000 3.820 0.955 3.609
## 4308 7.000 -2.480 1.181 0.410 6.150 0.562 2.259
## 4315 Inf -0.630 0.260 0.170 1.750 0.783 2.913
## 4317 Inf -1.180 0.427 0.075 2.950 0.819 2.449
## 4319 8.500 -1.040 0.222 0.000 2.990 2.342 8.269
## 4320 8.000 -1.420 0.737 0.000 5.380 1.088 2.693
## 4321 Inf -1.595 0.480 -0.060 3.565 0.957 2.615
## 4340 Inf -1.520 0.401 0.085 2.800 0.576 2.134
## 4341 Inf -3.075 0.351 0.075 3.405 0.162 1.978
## 4348 6.000 -2.615 0.389 0.215 3.125 -0.172 2.000
## 4353 Inf -4.885 0.476 0.140 4.755 0.110 2.340
## 4354 Inf -4.950 0.673 0.520 5.350 0.103 2.307
## 4355 6.000 -2.720 0.238 0.000 2.700 0.098 2.229
## 4357 Inf -1.610 0.222 0.035 2.080 0.248 2.577
## 4363 Inf -1.010 0.325 0.060 2.620 0.611 2.379
## 4374 Inf -1.420 0.348 0.255 2.080 0.145 2.599
## 4383 6.000 -2.680 0.611 0.000 4.940 0.712 2.479
## 4384 Inf -2.070 0.355 0.345 3.290 0.138 1.832
## 4385 Inf -1.220 0.320 0.228 2.360 0.544 2.376
## 4388 Inf -2.695 0.891 0.002 6.180 0.724 2.711
## 4395 Inf -1.415 0.167 0.110 2.275 0.385 2.650
## 4399 Inf -0.760 0.178 0.110 1.500 0.582 3.061
## 4409 Inf -1.890 0.114 0.000 1.410 -0.260 3.707
## 4419 5.500 -0.890 0.302 0.000 3.000 1.441 5.059
## 4425 5.500 -2.740 0.390 0.000 5.320 0.792 2.610
## 4426 10.000 -2.390 0.792 0.000 6.410 1.034 2.933
## 4444 Inf -0.760 0.192 0.140 1.480 0.381 2.618
## 4455 Inf -1.745 0.262 0.100 2.285 0.081 2.088
## 4458 9.000 -1.760 0.116 0.000 2.350 0.254 2.985
## 4459 19.000 -1.280 0.266 0.000 4.930 2.298 8.296
## 4460 15.000 -1.455 0.577 0.000 5.035 1.541 4.159
## 4484 Inf -1.490 0.053 0.010 1.320 -0.140 2.694
## 4499 Inf -1.370 0.152 0.210 1.760 0.061 3.179
## 4502 7.000 -1.570 0.244 0.000 2.120 0.090 1.921
## 4531 Inf -1.510 0.018 0.000 2.140 0.808 4.321
## 4540 Inf -1.085 0.055 -0.022 1.415 0.233 2.261
## 4541 Inf -0.848 0.130 0.165 1.242 -0.193 2.417
## 4549 Inf -2.245 0.138 0.120 2.440 -0.120 2.618
## 4562 Inf -1.610 0.237 0.170 3.340 1.068 5.621
## 4575 Inf -1.095 -0.024 -0.030 1.625 0.331 2.721
## 4576 Inf -0.960 0.061 0.000 1.710 0.570 3.092
## 4647 Inf -2.285 0.217 0.035 2.525 0.309 3.618
## 4658 Inf -3.245 0.126 0.290 2.365 -0.526 3.173
## 4671 Inf -3.130 0.142 0.400 2.110 -0.473 2.694
## 4678 Inf -0.705 0.084 0.070 0.965 0.123 2.683
## 4679 Inf -1.240 0.020 0.005 1.590 0.304 2.934
## 4691 Inf -1.245 -0.023 -0.055 1.795 0.510 3.095
## 4692 7.000 -1.120 0.079 0.005 1.320 -0.039 2.912
## 4701 6.000 -3.120 1.600 0.325 7.105 0.136 1.508
## 4704 15.000 -1.430 0.014 0.000 5.130 2.638 12.892
## 4708 10.000 -1.830 0.218 0.000 3.570 0.574 2.919
## 4715 11.000 -2.735 0.333 0.000 3.615 0.328 2.130
## 4716 8.000 -3.725 0.232 0.000 4.035 0.237 2.367
## 4717 17.000 -3.475 -0.027 0.000 3.275 0.175 3.451
## 4721 Inf -1.845 0.308 0.192 2.555 0.149 2.347
## 4764 12.000 -1.000 0.001 0.000 0.770 -0.411 3.964
## 4770 Inf -2.945 -0.205 -0.010 0.915 -1.745 6.546
## 4797 Inf -1.195 -0.047 -0.075 0.975 -0.130 2.585
## 4812 Inf -1.030 -0.039 0.060 0.550 -0.677 2.658
## 4813 Inf -1.190 0.109 0.045 1.670 0.189 2.736
## 4844 Inf -3.450 -0.097 0.075 1.060 -1.697 7.623
## 4845 Inf -5.715 -0.381 0.075 2.185 -1.725 5.244
## 4846 Inf -1.270 0.191 0.125 2.040 0.104 2.417
## 4856 Inf -1.730 -0.009 -0.070 0.920 -0.496 3.070
## 4865 Inf -1.455 0.045 0.065 1.335 -0.281 3.891
## 4880 Inf -0.970 -0.013 -0.005 0.950 0.100 2.099
## 4910 Inf -1.045 -0.086 -0.095 0.900 0.052 1.843
## 4914 Inf -1.400 0.099 0.020 2.050 0.326 3.468
## 4935 Inf -1.025 -0.058 0.000 0.960 0.047 2.495
## 4942 Inf -1.695 -0.115 -0.070 0.975 -0.395 3.895
## 4944 8.000 -0.900 0.054 0.000 1.380 0.771 3.482
## 4956 Inf -1.665 -0.129 -0.195 1.680 0.064 2.966
## 4976 Inf -0.845 0.130 0.020 1.975 0.772 4.136
## 4996 Inf -0.772 0.067 0.085 1.137 0.197 2.492
## 5035 6.000 -0.670 0.068 0.005 0.910 0.319 2.794
## 5044 Inf -1.135 0.058 -0.090 2.185 0.778 3.832
## 5072 Inf -1.120 0.150 0.125 1.700 0.397 2.693
## 5099 Inf -0.495 0.050 0.000 0.985 0.627 3.566
## 5104 Inf -0.930 0.034 0.040 1.170 0.165 2.543
## 5106 Inf -1.115 -0.117 -0.130 0.775 -0.073 2.628
## 5121 Inf -0.900 -0.001 -0.065 1.345 0.468 2.771
## 5142 Inf -2.080 0.330 0.030 4.450 0.823 2.955
## 5143 Inf -0.890 -0.021 0.000 0.910 0.048 2.470
## 5196 7.000 -1.365 -0.031 0.000 1.245 -0.185 3.084
## 5221 Inf -1.505 0.630 0.005 5.030 1.197 3.328
## 5224 7.000 -0.770 0.033 0.000 0.940 0.363 2.859
## 5230 Inf -1.740 -0.055 -0.055 2.710 0.785 4.756
## 5239 Inf -1.030 0.002 0.140 0.720 -0.385 2.111
## 5255 Inf -1.080 -0.086 -0.090 0.840 -0.007 2.520
## 5260 7.000 -1.595 -0.029 0.000 2.575 0.682 3.421
## 5261 6.000 -1.970 -0.015 0.000 1.710 -0.296 3.782
## 5277 Inf -1.170 0.319 0.122 3.260 1.008 3.329
## 5283 Inf -1.975 -0.141 -0.002 1.105 -0.733 3.135
## 5289 Inf -1.535 0.000 -0.007 0.960 -0.455 2.662
## 5291 Inf -1.410 -0.114 -0.030 1.400 -0.040 2.569
## 5292 6.000 -2.800 -0.338 -0.068 2.080 -0.245 3.486
## 5300 7.000 -0.655 0.113 0.000 1.140 0.576 3.230
## 5324 Inf -2.620 0.126 -0.010 2.130 -0.254 2.823
## 5337 6.000 -1.305 0.530 0.000 3.885 0.950 2.592
## 5342 Inf -1.335 0.072 0.108 1.465 0.076 2.039
## 5351 9.000 -3.180 0.195 0.000 3.280 -0.028 2.638
## 5353 Inf -4.545 0.049 0.610 3.655 -0.458 2.348
## 5358 Inf -1.990 0.130 0.157 1.530 -0.593 3.244
## 5362 9.000 -1.190 0.396 0.000 5.390 1.939 7.535
## 5365 Inf -2.220 0.259 0.080 2.830 0.173 2.213
## 5367 8.000 -2.960 0.195 0.000 2.910 0.094 3.310
## 5371 Inf -1.225 0.119 0.040 1.765 0.204 2.582
## 5375 Inf -2.485 0.235 0.395 2.075 -0.388 2.585
## 5377 Inf -2.630 0.071 0.005 2.450 -0.207 2.694
## 5378 Inf -2.130 0.074 0.043 2.030 -0.187 2.640
## 5384 Inf -5.522 -0.040 0.132 3.137 -1.722 7.946
## 5390 Inf -1.782 0.289 0.073 2.667 0.367 3.232
## 5415 Inf -2.470 -0.100 -0.155 2.780 0.096 2.908
## 5417 Inf -2.920 0.302 0.280 4.300 0.125 2.226
## 5431 Inf -1.430 0.240 0.053 3.280 1.011 4.729
## 5435 12.000 -1.840 0.311 0.000 3.225 0.711 3.795
## 5439 Inf -1.675 0.071 0.035 1.615 0.026 2.612
## 5460 Inf -2.050 -0.070 -0.020 1.260 -0.743 3.829
## 5472 14.000 -4.060 -0.042 0.000 4.140 -0.038 3.061
## 5485 Inf -1.480 0.117 0.140 0.960 -0.598 3.873
## 5502 Inf -0.720 0.056 0.030 1.070 0.434 2.789
## 5503 Inf -1.200 0.083 0.040 2.560 0.914 4.443
## 5506 7.000 -1.180 0.791 0.000 5.150 1.156 3.091
## 5510 14.000 -4.070 0.123 0.000 5.975 0.449 3.701
## 5511 6.000 -1.890 0.104 0.000 3.220 0.484 2.451
## 5540 Inf -2.220 0.109 0.025 2.650 0.210 1.789
## 5544 Inf -1.250 0.132 0.030 2.290 0.709 3.430
## 5553 Inf -1.500 -0.063 0.000 1.790 0.164 3.785
## 5556 Inf -2.693 0.443 -0.155 5.747 0.887 2.794
## 5561 Inf -4.580 -0.029 0.205 2.950 -0.732 3.309
## 5569 Inf -1.270 0.045 0.015 1.360 0.119 2.290
## 5571 Inf -1.670 0.045 0.028 1.810 -0.044 3.560
## 5582 6.000 -1.500 0.199 0.000 3.150 0.787 2.849
## 5588 Inf -2.680 0.443 0.265 3.365 -0.027 1.630
## 5608 Inf -2.010 0.042 0.025 2.110 0.094 3.361
## 5631 9.000 -3.110 -0.153 0.000 4.110 0.439 2.926
## 5641 Inf -2.405 -0.052 -0.053 1.625 -0.431 2.861
## 5648 Inf -4.230 -0.331 -0.032 2.360 -0.836 3.788
## 5655 Inf -0.720 0.016 0.060 0.600 -0.547 2.541
## 5660 11.000 -1.260 0.491 0.160 4.110 1.258 5.542
## 5674 Inf -2.050 -0.044 0.000 1.250 -0.553 3.248
## 5695 6.000 -2.000 0.269 0.000 3.640 0.587 2.874
## 5696 29.000 -1.950 -0.001 0.000 4.890 2.514 12.791
## 5702 8.000 -1.190 0.154 0.000 4.200 2.022 8.101
## 5703 10.000 -1.170 0.340 0.000 3.960 1.300 4.148
## 5712 11.000 -2.335 0.369 0.000 5.880 1.204 4.793
## 5728 Inf -0.885 0.141 0.000 2.380 0.993 3.904
## 5738 Inf -1.000 -0.017 -0.020 1.040 0.072 2.726
## 5753 Inf -0.865 0.128 0.120 2.095 0.468 3.315
## 5758 Inf -3.420 0.079 0.270 2.850 -0.209 2.068
## 5785 Inf -1.285 0.012 0.100 1.320 -0.347 3.574
## 5795 Inf -1.600 -0.135 0.025 1.000 -0.484 2.122
## 5796 Inf -3.205 0.366 0.105 4.545 0.203 2.172
## 5797 Inf -2.345 -0.067 -0.248 2.325 0.141 2.144
## 5801 Inf -1.560 0.020 0.140 1.805 -0.140 2.335
## 5804 Inf -2.020 1.139 1.345 5.025 0.086 1.824
## 5814 Inf -2.930 0.199 0.260 4.530 0.155 3.086
## 5815 Inf -1.250 0.073 0.135 1.470 -0.189 2.057
## 5821 Inf -1.515 0.355 0.235 3.125 0.494 2.577
## 5822 Inf -1.925 0.310 0.080 3.305 0.449 2.126
## 5829 Inf -3.180 0.202 -0.140 4.495 0.527 2.661
## 5836 Inf -3.250 -0.113 -0.255 2.855 -0.010 1.673
## 5837 Inf -2.905 -0.032 -0.080 2.390 -0.080 1.727
## 5838 Inf -3.830 -0.322 -0.425 3.820 -0.029 1.974
## 5847 Inf -2.275 0.041 0.225 1.985 -0.279 2.142
## 5853 Inf -1.210 0.280 0.105 2.430 0.639 2.667
## 5861 Inf -1.960 0.174 0.240 1.700 -0.382 2.356
## 5876 Inf -1.925 0.298 0.265 2.415 0.038 2.820
## 5882 Inf -3.060 0.221 0.410 3.140 -0.542 3.844
## 5884 Inf -3.020 0.251 0.153 2.750 -0.480 2.299
## 5885 Inf -2.310 0.014 0.335 1.390 -0.582 2.354
## 5886 Inf -2.490 0.288 0.460 1.980 -0.654 2.992
## 5891 Inf -3.480 -0.084 0.115 2.475 -0.496 2.699
## 5892 Inf -4.210 -0.133 0.325 2.305 -0.750 2.984
## 5896 Inf -1.920 -0.001 0.060 1.845 -0.205 1.987
## 5898 Inf -1.875 -0.068 -0.100 1.905 0.126 2.087
## 5903 Inf -2.315 -0.019 0.180 2.835 -0.157 2.138
## 5911 Inf -2.045 0.089 0.210 1.920 -0.260 2.916
## 5917 Inf -4.330 -0.255 0.000 2.230 -1.048 3.312
## 5919 Inf -1.115 0.206 0.000 1.485 0.176 2.112
## 5922 Inf -1.830 0.197 0.090 2.110 -0.077 2.618
## 5936 Inf -1.550 0.095 0.110 1.460 -0.214 2.340
## 5937 Inf -4.245 -0.086 0.215 2.565 -0.517 2.166
## 5941 Inf -2.890 0.224 -0.170 2.820 0.187 1.799
## 5944 Inf -1.250 0.555 0.050 3.200 0.469 1.857
## 5945 Inf -1.720 0.461 -0.090 3.460 0.502 2.019
## 5947 Inf -2.240 0.233 -0.055 3.385 0.492 2.389
## 5948 6.000 -3.240 0.036 0.000 4.765 0.243 1.965
## 5955 Inf -3.755 -0.275 0.070 2.210 -1.022 3.675
## 5957 Inf -2.010 -0.134 -0.345 1.940 0.013 1.423
## 5960 Inf -2.180 0.026 0.060 2.380 -0.289 2.986
## 5962 Inf -2.215 -0.073 -0.085 1.955 -0.065 2.051
## 5964 Inf -2.595 -0.270 -0.032 1.295 -0.537 2.725
## 5973 6.000 -3.170 0.169 0.000 4.610 0.252 2.171
## 5986 Inf -1.830 0.040 0.140 1.640 -0.438 2.554
## 6010 Inf -2.295 0.186 0.320 2.440 -0.069 2.597
## 6015 Inf -1.040 0.336 0.395 2.160 0.125 2.131
## 6039 Inf -1.715 -0.022 0.002 1.475 -0.175 2.405
## 6047 7.000 -2.350 -0.035 0.000 1.760 -0.447 3.231
## 6054 Inf -3.470 -0.282 0.130 2.155 -0.834 2.653
## 6055 Inf -3.955 -0.333 0.115 2.370 -0.840 2.625
## 6057 7.000 -2.380 0.055 0.000 1.380 -1.239 9.109
## 6063 Inf -1.940 0.067 -0.035 1.710 -0.124 2.522
## 6071 Inf -3.390 -0.066 0.045 1.240 -1.485 5.476
## 6081 Inf -1.210 0.071 0.030 1.530 0.098 2.187
## 6085 Inf -2.880 0.034 0.025 3.290 0.220 2.533
## 6090 9.000 -1.925 0.133 0.000 2.165 0.174 2.247
## 6091 Inf -0.850 0.277 0.235 1.550 0.117 1.894
## 6124 Inf -3.200 0.169 0.315 2.600 -0.327 2.486
## 6132 Inf -1.370 0.028 -0.010 1.000 -0.398 2.844
## 6134 Inf -1.870 0.251 0.065 2.625 0.254 2.930
## 6136 Inf -1.825 0.187 0.135 1.450 -0.229 2.512
## 6145 22.000 -2.330 -0.036 0.000 1.660 -0.958 7.547
## 6147 Inf -2.550 0.434 0.665 4.275 -0.006 2.388
## 6148 Inf -2.035 0.748 0.715 5.570 0.362 2.259
## 6149 Inf -3.080 1.142 0.785 7.425 0.304 2.009
## 6150 Inf -2.280 1.261 1.055 7.125 0.311 2.006
## 6151 Inf -3.255 1.323 1.315 6.980 0.233 2.036
## 6152 Inf -3.345 1.221 1.065 6.820 0.259 2.109
## 6155 Inf -1.560 0.782 0.690 4.975 0.636 2.836
## 6157 Inf -1.615 0.953 0.585 5.840 0.591 2.415
## 6163 6.000 -1.965 0.130 0.000 2.005 0.347 4.043
## 6170 Inf -1.675 0.064 0.100 1.625 -0.102 2.461
## 6172 Inf -1.720 0.029 0.040 1.800 0.098 3.092
## 6184 6.000 -4.440 0.169 0.270 2.060 -1.513 7.513
## 6187 Inf -1.087 0.092 0.137 1.062 -0.008 2.372
## 6189 Inf -1.585 0.197 0.225 1.565 -0.305 2.460
## 6190 Inf -1.760 0.324 0.440 1.990 -0.145 2.190
## 6227 Inf -1.670 0.028 0.170 1.140 -0.854 3.904
## 6230 Inf -1.490 0.037 0.075 1.130 -0.572 3.293
## 6236 Inf -2.455 0.338 0.275 2.975 -0.032 2.677
## 6243 12.000 -3.360 0.464 0.000 4.200 0.226 2.437
## 6247 Inf -2.160 0.064 0.300 2.130 -0.331 2.620
## 6248 Inf -2.245 -0.210 0.160 2.645 -0.097 2.099
## 6262 Inf -1.725 0.435 0.240 5.365 1.315 5.739
## 6266 13.000 -1.635 0.182 0.000 3.120 1.206 4.424
## 6267 5.500 -1.725 0.150 0.000 3.025 0.756 3.674
## 6268 6.000 -3.320 -0.074 0.000 4.300 0.445 2.677
## 6273 Inf -2.560 -0.135 -0.085 3.080 0.356 2.418
## 6279 7.000 -2.710 0.795 0.035 6.170 0.648 2.814
## 6300 Inf -0.930 0.162 0.172 1.450 0.166 2.512
## 6304 Inf -1.925 0.227 0.265 2.225 -0.077 2.692
## 6305 15.000 -1.470 0.404 0.000 4.370 1.259 4.528
## 6309 Inf -1.330 0.033 0.125 1.890 0.046 2.768
## 6314 12.000 -2.940 -0.135 0.000 2.670 -0.112 2.013
## 6318 Inf -2.620 0.049 0.000 3.170 0.206 3.121
## 6321 10.000 -2.010 0.275 0.000 5.110 1.306 4.659
## 6335 Inf -3.030 -0.041 -0.060 2.020 -0.312 4.004
## 6337 Inf -1.015 -0.022 -0.045 1.025 0.178 2.539
## 6342 7.000 -0.630 0.090 0.000 1.365 1.086 4.481
## 6346 Inf -5.180 -0.130 0.080 1.600 -2.866 12.010
## 6350 Inf -1.715 -0.095 -0.030 1.315 -0.282 2.455
## 6353 Inf -3.180 -0.439 -0.160 1.110 -0.822 2.864
## 6385 9.000 -2.240 -0.004 0.000 2.650 0.186 3.336
## 6391 Inf -3.400 0.882 0.015 5.290 0.390 1.875
## 6401 Inf -0.860 0.016 0.020 0.910 0.077 2.157
## 6411 11.000 -1.970 0.033 0.000 2.130 -0.148 3.054
## 6412 14.000 -2.790 0.412 0.000 4.940 0.656 2.868
## 6413 14.000 -2.460 0.175 0.000 5.250 0.925 3.633
## 6429 10.000 -2.845 0.629 0.000 7.355 1.491 4.557
## 6430 24.000 -2.420 0.810 0.000 6.900 1.444 4.165
## 6434 7.000 -2.200 0.636 0.000 5.590 1.181 3.656
## 6451 5.500 -2.075 0.607 0.000 5.215 1.142 3.261
## 6453 6.000 -2.200 0.436 0.000 4.655 0.977 3.278
## 6454 7.000 -1.505 0.510 0.000 4.830 1.289 4.149
## 6457 14.000 -1.970 0.083 0.000 4.485 1.089 4.635
## 6458 10.000 -2.210 -0.096 0.000 2.420 0.334 3.026
## 6462 10.000 -1.505 0.107 0.000 2.730 0.843 3.589
## 6478 Inf -1.120 0.143 0.073 2.310 0.640 3.584
## 6479 Inf -1.065 0.135 0.110 1.805 0.429 2.973
## 6482 Inf -1.430 0.086 0.080 1.835 0.187 2.827
## 6495 18.000 -2.005 0.217 0.000 4.145 1.276 4.500
## 6513 Inf -0.965 0.000 0.000 1.155 0.131 3.105
## 6521 7.000 -2.535 0.055 0.000 1.785 -0.146 4.854
## 6531 Inf -2.155 -0.024 0.085 3.185 0.211 2.838
## 6533 Inf -1.770 0.122 0.155 2.170 0.199 2.569
## 6547 10.000 -1.305 0.220 0.000 3.855 1.467 5.139
## 6548 Inf -2.372 0.316 0.102 3.562 0.809 4.166
## 6561 16.000 -0.940 0.092 0.000 5.870 4.429 25.428
## 6564 Inf -2.295 0.403 -0.010 7.635 2.012 8.273
## 6565 9.500 -1.190 -0.008 0.000 2.350 1.045 7.129
## 6566 28.000 -2.090 0.119 0.000 3.560 1.688 7.974
## 6570 5.500 -1.990 0.082 0.000 2.560 0.120 3.161
## 6583 Inf -1.040 -0.043 -0.045 1.520 0.505 2.925
## 6593 7.000 -1.635 -0.140 0.000 1.145 -0.523 3.652
## 6600 Inf -0.950 0.023 -0.010 1.410 0.310 1.863
## 6612 8.000 -1.585 0.618 0.000 6.315 1.721 5.498
## 6614 15.000 -2.020 0.155 0.000 4.490 1.422 4.540
## 6615 11.000 -1.750 0.333 0.000 5.635 1.909 6.070
## 6616 10.000 -1.035 0.501 0.000 5.570 1.962 5.622
## 6622 8.000 -3.385 -0.126 0.000 4.930 0.488 3.950
## 6635 6.000 -1.315 0.832 0.000 7.105 1.674 4.733
## 6639 Inf -1.940 0.217 0.115 2.590 0.295 2.256
## 6641 7.000 -3.130 -0.135 0.000 2.395 -0.358 3.186
## 6642 8.000 -1.170 0.450 0.000 3.270 1.059 2.932
## 6643 Inf -2.645 0.109 -0.050 4.005 0.861 4.415
## 6644 6.000 -2.120 0.530 0.000 5.800 1.347 4.373
## 6646 Inf -4.792 -0.240 -0.010 3.648 -0.351 2.902
## 6656 6.000 -2.770 -0.377 -0.125 2.060 0.155 1.847
## 6661 Inf -0.775 0.203 0.075 1.495 0.344 2.106
## 6673 14.000 -3.390 -0.199 0.000 3.130 0.001 3.811
## 6674 5.500 -2.620 -0.245 0.000 0.860 -1.494 5.075
## 6691 Inf -1.460 -0.073 -0.010 2.710 1.173 7.018
## 6714 13.000 -2.140 0.010 0.000 6.830 3.646 20.478
## 6717 Inf -3.000 0.136 0.325 4.720 0.239 2.403
## 6718 Inf -4.110 0.196 0.130 3.880 -0.111 3.319
## 6719 Inf -3.350 0.245 0.155 3.620 0.118 3.003
## 6733 Inf -1.585 -0.121 0.000 1.445 -0.337 2.420
## 6736 Inf -3.035 -0.346 -0.590 3.135 0.360 2.535
## 6773 Inf -1.045 -0.078 -0.115 0.915 0.031 3.134
## 6780 Inf -0.900 -0.022 0.030 0.780 -0.164 2.380
## 6817 16.000 -2.175 0.565 0.000 4.865 1.173 3.879
## 6824 Inf -0.925 0.214 0.060 2.245 1.057 3.431
## 6827 8.000 -1.390 -0.046 0.000 3.570 1.788 7.392
## Percentile25th Percentile75th
## 10 -0.237 0.585
## 14 -0.110 0.001
## 30 -0.199 0.252
## 43 -0.172 0.677
## 53 -0.308 0.515
## 81 -0.314 0.323
## 83 -0.240 0.308
## 112 -0.738 1.869
## 124 -0.402 0.000
## 125 -0.425 0.070
## 126 -0.455 0.672
## 128 -0.642 0.050
## 130 -0.472 0.405
## 133 -2.465 0.002
## 134 -1.303 1.665
## 135 -0.495 0.537
## 137 -0.675 0.000
## 139 -0.928 0.070
## 141 -0.308 0.573
## 145 -0.613 0.690
## 175 -0.103 0.459
## 179 -0.572 0.435
## 189 -0.390 1.075
## 198 -0.125 1.035
## 204 -0.650 0.522
## 211 -0.510 0.742
## 212 -0.615 0.283
## 230 -0.240 0.165
## 234 -0.748 0.795
## 245 -1.168 1.840
## 250 -0.660 0.532
## 255 -1.297 0.782
## 256 -1.013 3.275
## 259 -0.272 0.448
## 263 -0.783 0.512
## 269 -0.630 0.903
## 276 -1.330 0.562
## 279 -0.148 0.552
## 291 -0.445 0.395
## 293 -0.275 0.698
## 297 -0.294 0.520
## 301 -0.720 0.565
## 306 -0.545 0.917
## 309 -0.365 0.823
## 318 -0.718 0.765
## 334 -0.335 0.280
## 340 -0.855 0.583
## 350 -0.272 0.670
## 380 -0.305 0.145
## 393 -0.533 0.411
## 394 -0.740 0.411
## 404 -0.385 0.138
## 411 -0.235 0.298
## 414 -0.222 0.386
## 417 -0.225 0.473
## 430 -0.220 0.125
## 431 -0.460 0.675
## 455 -0.290 0.385
## 489 -0.316 0.495
## 515 -1.595 1.168
## 520 -0.160 0.215
## 561 -0.016 0.000
## 614 -0.280 0.290
## 710 -0.336 0.502
## 711 -0.380 0.528
## 713 -0.130 0.253
## 720 -0.215 0.240
## 730 -0.320 0.240
## 753 -0.705 0.595
## 754 -0.448 0.198
## 755 -0.165 0.182
## 756 -0.160 0.225
## 765 -0.268 0.325
## 812 -0.439 0.502
## 819 -0.182 0.421
## 851 -0.433 0.278
## 852 -0.552 0.462
## 897 -0.940 1.322
## 958 -0.318 0.428
## 960 -0.542 0.230
## 972 -0.318 0.218
## 989 -0.825 0.483
## 1010 -0.612 0.600
## 1030 -0.183 0.278
## 1038 -1.292 0.800
## 1039 -0.358 0.530
## 1056 -0.365 0.400
## 1063 -0.765 0.892
## 1067 -1.065 0.780
## 1071 -0.135 0.322
## 1072 -0.610 0.542
## 1096 -0.288 0.708
## 1105 -1.222 0.525
## 1106 -1.232 0.848
## 1118 -0.280 0.315
## 1129 -0.135 0.325
## 1141 -0.212 0.490
## 1151 -0.278 0.348
## 1177 -0.602 0.257
## 1230 -0.305 0.125
## 1233 -0.540 0.163
## 1237 -0.462 0.365
## 1290 -0.333 0.302
## 1293 -0.368 0.305
## 1333 -0.373 0.492
## 1346 -0.790 0.505
## 1351 -0.620 1.070
## 1370 -0.386 0.311
## 1378 -0.195 0.000
## 1382 0.000 0.000
## 1383 -0.268 0.250
## 1384 -0.397 0.542
## 1386 -0.300 0.598
## 1393 -0.465 0.230
## 1399 -0.485 0.195
## 1404 -0.578 0.493
## 1409 -0.004 0.004
## 1457 -0.312 0.197
## 1478 -0.930 0.420
## 1493 -0.367 0.375
## 1494 -0.320 0.225
## 1534 -0.348 0.287
## 1543 -0.375 0.162
## 1549 -0.322 0.262
## 1550 -0.532 0.300
## 1615 -0.285 0.217
## 1616 -0.334 0.165
## 1641 -0.388 0.222
## 1669 -0.718 0.322
## 1709 -0.585 0.323
## 1735 -0.302 0.092
## 1754 -0.480 0.545
## 1807 -0.438 0.202
## 1833 -0.412 0.164
## 1842 -0.568 0.380
## 1915 -0.268 0.285
## 1956 -0.323 0.140
## 1972 -0.455 0.380
## 1992 -0.360 0.305
## 2000 -0.283 0.210
## 2025 -1.333 0.302
## 2026 -0.596 0.290
## 2041 -0.428 0.300
## 2052 -0.656 0.455
## 2053 -0.432 0.158
## 2066 -0.620 0.004
## 2072 -0.376 0.153
## 2077 -0.382 0.185
## 2080 -0.440 0.000
## 2081 -0.322 0.000
## 2082 -0.328 0.000
## 2083 -0.370 0.000
## 2084 -0.473 0.032
## 2085 -0.400 0.172
## 2086 -0.618 0.000
## 2102 -0.360 0.000
## 2134 -0.398 0.170
## 2156 -0.522 0.210
## 2243 -0.438 0.342
## 2247 -0.577 0.318
## 2251 -0.362 0.624
## 2256 -0.623 0.485
## 2270 -0.375 0.268
## 2294 -0.402 0.332
## 2328 -0.318 0.378
## 2337 -0.701 0.660
## 2381 -0.640 0.728
## 2404 -0.462 0.397
## 2413 -0.440 0.380
## 2417 -0.308 0.310
## 2426 -0.448 0.715
## 2433 -0.590 0.248
## 2438 -0.260 0.270
## 2452 -0.318 0.237
## 2539 -0.395 0.242
## 2549 -0.212 0.085
## 2555 -0.555 0.592
## 2556 -0.487 0.358
## 2593 -0.442 0.630
## 2600 -0.475 0.230
## 2632 -0.590 0.182
## 2643 -0.352 0.453
## 2689 -0.292 0.281
## 2732 -0.337 0.338
## 2754 -0.542 0.527
## 2770 -0.245 0.472
## 2831 -0.362 0.335
## 2896 -0.425 0.350
## 2909 -0.271 0.238
## 2944 -0.810 0.232
## 2971 -0.498 0.355
## 2986 -0.500 0.032
## 2997 -0.280 0.135
## 3019 -0.416 0.245
## 3034 -1.435 0.432
## 3068 -0.715 0.462
## 3091 -0.358 0.172
## 3101 -0.473 0.292
## 3104 -0.375 0.190
## 3109 -0.478 0.018
## 3111 -0.510 0.119
## 3116 -0.082 0.005
## 3141 -0.235 0.185
## 3143 -0.205 0.208
## 3147 -0.664 0.180
## 3256 -0.125 0.577
## 3262 -0.135 0.938
## 3268 -0.288 0.464
## 3270 -0.262 0.521
## 3272 -0.365 0.558
## 3285 -0.298 0.622
## 3368 -0.433 0.567
## 3371 -0.043 0.000
## 3372 -0.557 0.000
## 3373 -1.053 0.162
## 3377 -0.230 0.488
## 3389 -0.382 0.218
## 3407 -0.222 0.568
## 3429 -0.497 0.475
## 3459 -0.380 0.335
## 3460 -0.757 0.677
## 3472 -0.398 0.795
## 3491 -0.683 0.870
## 3496 -0.680 0.411
## 3514 -0.217 0.232
## 3515 -0.410 0.302
## 3517 -0.528 0.358
## 3523 -0.651 0.846
## 3525 -2.620 0.238
## 3534 -0.520 0.552
## 3558 -0.597 0.542
## 3599 -0.280 0.270
## 3647 -0.463 0.145
## 3654 -0.383 0.358
## 3725 -0.263 0.128
## 3747 -0.555 0.485
## 3752 -0.340 0.205
## 3792 -0.393 0.442
## 3806 -0.448 0.397
## 3828 -1.652 0.485
## 3837 -0.562 0.275
## 3861 -0.400 0.580
## 3865 -0.365 0.342
## 3870 -0.253 0.575
## 3890 -0.633 1.467
## 3891 -0.435 0.315
## 3894 -0.452 1.845
## 3917 -0.565 0.485
## 3924 -0.995 0.870
## 3944 -0.372 0.562
## 3948 -0.521 1.022
## 3957 -0.755 3.225
## 3967 -0.325 0.730
## 3974 -0.228 0.432
## 3982 -0.128 0.675
## 4003 -0.172 0.482
## 4043 -0.368 1.260
## 4049 -0.843 0.555
## 4053 -0.085 0.367
## 4057 -0.380 1.658
## 4059 -1.393 1.452
## 4060 -1.179 2.038
## 4064 -0.613 1.220
## 4074 -0.492 0.178
## 4075 -0.530 0.865
## 4084 -0.266 0.338
## 4092 -1.005 1.120
## 4094 -2.285 1.520
## 4096 -0.548 0.945
## 4110 -0.607 1.260
## 4118 -0.327 0.722
## 4126 -0.211 0.532
## 4150 -0.270 0.607
## 4153 -0.698 1.710
## 4155 -0.225 0.410
## 4168 -0.320 0.515
## 4175 -0.258 0.758
## 4184 -0.360 2.232
## 4193 -0.252 0.482
## 4198 -0.523 0.245
## 4215 -0.355 0.830
## 4216 -0.508 0.735
## 4218 -0.618 1.198
## 4223 -0.267 0.300
## 4229 -0.340 0.642
## 4239 -0.212 0.698
## 4243 -0.524 1.700
## 4245 -0.248 1.379
## 4251 -0.330 2.025
## 4262 -0.900 0.805
## 4267 -0.605 0.642
## 4274 -0.279 0.552
## 4280 -1.620 1.498
## 4288 -0.660 3.203
## 4289 -0.522 2.885
## 4290 -0.085 0.855
## 4307 -0.362 0.853
## 4308 -0.275 2.740
## 4315 -0.252 0.545
## 4317 -0.455 0.838
## 4319 0.000 0.155
## 4320 -0.585 1.272
## 4321 -0.538 0.915
## 4340 -0.555 1.305
## 4341 -0.856 1.700
## 4348 -0.710 1.540
## 4353 -1.015 1.926
## 4354 -0.850 2.536
## 4355 -0.425 1.480
## 4357 -0.345 0.800
## 4363 -0.388 1.038
## 4374 -0.188 0.832
## 4383 -0.746 1.812
## 4384 -0.957 1.535
## 4385 -0.445 0.838
## 4388 -0.465 2.357
## 4395 -0.473 0.652
## 4399 -0.155 0.482
## 4409 -0.302 0.667
## 4419 -0.092 0.575
## 4425 -1.183 2.390
## 4426 -0.585 1.992
## 4444 -0.209 0.496
## 4455 -0.490 1.254
## 4458 -0.382 0.720
## 4459 -0.173 0.000
## 4460 -0.157 0.238
## 4484 -0.288 0.474
## 4499 -0.197 0.512
## 4502 -0.785 1.042
## 4531 -0.492 0.335
## 4540 -0.350 0.400
## 4541 -0.162 0.552
## 4549 -0.510 0.927
## 4562 -0.248 0.577
## 4575 -0.466 0.318
## 4576 -0.398 0.472
## 4647 -0.365 0.788
## 4658 -0.735 0.990
## 4671 -0.718 1.127
## 4678 -0.160 0.291
## 4679 -0.470 0.452
## 4691 -0.452 0.305
## 4692 -0.242 0.450
## 4701 -1.802 4.928
## 4704 -0.405 0.000
## 4708 -0.637 0.823
## 4715 -1.187 1.745
## 4716 -0.832 1.445
## 4717 -0.660 0.016
## 4721 -0.505 1.015
## 4764 -0.105 0.175
## 4770 -0.308 0.187
## 4797 -0.307 0.271
## 4812 -0.303 0.264
## 4813 -0.243 0.555
## 4844 -0.492 0.435
## 4845 -0.482 0.493
## 4846 -0.348 0.825
## 4856 -0.358 0.422
## 4865 -0.137 0.280
## 4880 -0.468 0.332
## 4910 -0.622 0.375
## 4914 -0.277 0.443
## 4935 -0.365 0.228
## 4942 -0.427 0.108
## 4944 -0.275 0.235
## 4956 -0.645 0.390
## 4976 -0.258 0.500
## 4996 -0.202 0.380
## 5035 -0.165 0.322
## 5044 -0.405 0.591
## 5072 -0.355 0.525
## 5099 -0.160 0.238
## 5104 -0.318 0.422
## 5106 -0.430 0.138
## 5121 -0.361 0.293
## 5142 -0.882 0.995
## 5143 -0.272 0.300
## 5196 -0.367 0.418
## 5221 -0.445 1.170
## 5224 -0.232 0.233
## 5230 -0.576 0.398
## 5239 -0.350 0.362
## 5255 -0.408 0.215
## 5260 -0.610 0.119
## 5261 -0.268 0.408
## 5277 -0.490 0.830
## 5283 -0.418 0.440
## 5289 -0.378 0.570
## 5291 -0.512 0.320
## 5292 -0.970 0.058
## 5300 -0.110 0.308
## 5324 -0.585 0.865
## 5337 -0.647 1.125
## 5342 -0.597 0.645
## 5351 -0.745 1.240
## 5353 -1.338 1.661
## 5358 -0.308 0.645
## 5362 -0.410 0.790
## 5365 -0.678 1.392
## 5367 -0.395 0.805
## 5371 -0.270 0.647
## 5375 -0.320 0.971
## 5377 -0.870 1.004
## 5378 -0.418 0.802
## 5384 -0.288 0.620
## 5390 -0.194 0.860
## 5415 -0.981 0.530
## 5417 -1.008 1.745
## 5431 -0.292 0.705
## 5435 -0.135 0.880
## 5439 -0.407 0.510
## 5460 -0.349 0.330
## 5472 -1.210 0.615
## 5485 -0.165 0.428
## 5502 -0.225 0.325
## 5503 -0.345 0.300
## 5506 -0.462 1.332
## 5510 -0.600 0.775
## 5511 -1.135 0.915
## 5540 -1.120 1.398
## 5544 -0.418 0.483
## 5553 -0.418 0.355
## 5556 -1.052 1.250
## 5561 -0.655 1.098
## 5569 -0.430 0.520
## 5571 -0.347 0.303
## 5582 -0.767 0.962
## 5588 -1.422 2.028
## 5608 -0.613 0.527
## 5631 -1.302 0.540
## 5641 -0.388 0.497
## 5648 -0.882 0.312
## 5655 -0.148 0.275
## 5660 0.000 0.965
## 5674 -0.552 0.492
## 5695 -0.550 1.227
## 5696 0.000 0.000
## 5702 -0.428 0.175
## 5703 -0.483 0.485
## 5712 -0.485 0.935
## 5728 -0.288 0.522
## 5738 -0.337 0.262
## 5753 -0.340 0.550
## 5758 -1.050 1.403
## 5785 -0.178 0.252
## 5795 -0.593 0.430
## 5796 -1.290 1.917
## 5797 -1.042 0.913
## 5801 -0.667 0.570
## 5804 -0.730 2.622
## 5814 -0.875 1.310
## 5815 -0.552 0.586
## 5821 -0.390 0.850
## 5822 -0.710 1.062
## 5829 -1.092 1.610
## 5836 -1.673 1.490
## 5837 -1.285 1.377
## 5838 -1.935 1.163
## 5847 -0.872 0.900
## 5853 -0.452 0.775
## 5861 -0.560 0.843
## 5876 -0.370 0.863
## 5882 -0.415 1.002
## 5884 -0.645 1.622
## 5885 -0.721 0.873
## 5886 -0.298 1.055
## 5891 -0.875 0.782
## 5892 -1.039 0.890
## 5896 -0.807 0.867
## 5898 -0.780 0.758
## 5903 -1.075 0.944
## 5911 -0.412 0.685
## 5917 -0.627 0.841
## 5919 -0.355 0.780
## 5922 -0.392 0.891
## 5936 -0.310 0.685
## 5937 -1.510 1.597
## 5941 -1.068 1.500
## 5944 -0.485 1.780
## 5945 -0.558 1.920
## 5947 -0.876 1.098
## 5948 -1.953 1.725
## 5955 -0.550 0.624
## 5957 -1.355 1.042
## 5960 -0.408 0.738
## 5962 -0.809 0.835
## 5964 -0.830 0.398
## 5973 -1.595 1.685
## 5986 -0.510 0.742
## 6010 -0.600 0.790
## 6015 -0.268 0.967
## 6039 -0.518 0.483
## 6047 -0.555 0.493
## 6054 -0.850 0.825
## 6055 -0.902 0.928
## 6057 -0.025 0.275
## 6063 -0.432 0.745
## 6071 -0.311 0.542
## 6081 -0.412 0.583
## 6085 -0.997 1.135
## 6090 -0.762 0.690
## 6091 -0.222 0.823
## 6124 -0.855 1.112
## 6132 -0.304 0.479
## 6134 -0.397 0.945
## 6136 -0.322 0.860
## 6145 0.000 0.000
## 6147 -0.707 1.460
## 6148 -1.042 2.153
## 6149 -1.065 3.185
## 6150 -0.938 3.152
## 6151 -0.920 3.175
## 6152 -0.935 2.992
## 6155 -0.255 1.812
## 6157 -0.833 2.192
## 6163 -0.238 0.495
## 6170 -0.487 0.663
## 6172 -0.398 0.445
## 6184 -0.315 0.870
## 6187 -0.328 0.450
## 6189 -0.322 0.792
## 6190 -0.518 0.933
## 6227 -0.293 0.395
## 6230 -0.260 0.370
## 6236 -0.303 1.162
## 6243 -0.677 1.950
## 6247 -0.553 0.701
## 6248 -1.333 0.746
## 6262 -0.425 1.165
## 6266 -0.212 0.213
## 6267 -0.220 0.377
## 6268 -1.545 1.188
## 6273 -1.367 0.585
## 6279 -0.600 1.985
## 6300 -0.180 0.585
## 6304 -0.468 0.857
## 6305 -0.270 0.986
## 6309 -0.480 0.442
## 6314 -1.603 1.307
## 6318 -0.665 0.750
## 6321 -0.443 0.530
## 6335 -0.607 0.488
## 6337 -0.345 0.298
## 6342 -0.022 0.122
## 6346 -0.345 0.442
## 6350 -0.536 0.420
## 6353 -1.143 0.275
## 6385 -0.573 0.485
## 6391 -0.880 3.148
## 6401 -0.363 0.325
## 6411 -0.388 0.560
## 6412 -0.735 1.668
## 6413 -1.071 0.365
## 6429 -0.096 0.001
## 6430 0.000 0.068
## 6434 -0.340 1.128
## 6451 -0.530 1.422
## 6453 -0.547 0.980
## 6454 -0.325 0.992
## 6457 -0.455 0.073
## 6458 -0.845 0.228
## 6462 -0.645 0.623
## 6478 -0.453 0.595
## 6479 -0.378 0.550
## 6482 -0.420 0.625
## 6495 -0.310 0.064
## 6513 -0.286 0.292
## 6521 -0.240 0.120
## 6531 -0.725 0.610
## 6533 -0.628 0.753
## 6547 -0.408 0.367
## 6548 -0.358 0.905
## 6561 -0.312 0.013
## 6564 -0.646 0.830
## 6565 -0.010 0.068
## 6566 0.000 0.000
## 6570 -0.465 0.640
## 6583 -0.498 0.325
## 6593 -0.465 0.028
## 6600 -0.670 0.557
## 6612 -0.210 1.007
## 6614 -0.725 0.030
## 6615 -0.460 0.312
## 6616 -0.295 0.025
## 6622 -1.068 0.528
## 6635 -0.613 0.902
## 6639 -0.745 1.046
## 6641 -0.783 0.560
## 6642 -0.265 0.741
## 6643 -0.772 0.835
## 6644 -0.545 1.504
## 6646 -0.927 0.588
## 6656 -1.560 0.730
## 6661 -0.296 0.670
## 6673 -0.852 0.122
## 6674 -0.415 0.260
## 6691 -0.570 0.195
## 6714 -0.435 0.018
## 6717 -1.415 1.270
## 6718 -0.978 1.133
## 6719 -0.742 1.040
## 6733 -0.615 0.413
## 6736 -1.342 0.728
## 6773 -0.290 0.148
## 6780 -0.280 0.245
## 6817 -0.019 0.828
## 6824 -0.329 0.498
## 6827 -0.680 0.000if (length(names(DQA.Descriptors.Numeric))==0) {
print("No numeric descriptors noted.")
} else if (nrow(DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Unique.Count.Ratio))<0.01,])>0){
print(paste0("Low variance observed for ",
(nrow(DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Unique.Count.Ratio))<0.01,])),
" numeric variable(s) with Unique.Count.Ratio<0.01."))
DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Unique.Count.Ratio))<0.01,]
} else {
print("No low variance numeric descriptors due to low unique count ratio noted.")
}## [1] "No low variance numeric descriptors due to low unique count ratio noted."##################################
# Checking for skewed Descriptors
##################################
if (length(names(DQA.Descriptors.Numeric))==0) {
print("No numeric descriptors noted.")
} else if (nrow(DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Skewness))>3 |
as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Skewness))<(-3),])>0){
print(paste0("High skewness observed for ",
(nrow(DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Skewness))>3 |
as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Skewness))<(-3),])),
" numeric variable(s) with Skewness>3 or Skewness<(-3)."))
DQA.Descriptors.Numeric.Summary[as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Skewness))>3 |
as.numeric(as.character(DQA.Descriptors.Numeric.Summary$Skewness))<(-3),]
} else {
print("No skewed numeric descriptors noted.")
}## [1] "High skewness observed for 14 numeric variable(s) with Skewness>3 or Skewness<(-3)."## Column.Name Column.Type Unique.Count Unique.Count.Ratio First.Mode.Value
## 124 data.124 numeric 24 0.600 0.000
## 412 data.412 numeric 32 0.800 0.000
## 513 data.513 numeric 33 0.825 0.000
## 2721 data.2721 numeric 39 0.975 0.130
## 3253 data.3253 numeric 31 0.775 0.000
## 3725 data.3725 numeric 27 0.675 0.000
## 3735 data.3735 numeric 38 0.950 -0.480
## 3790 data.3790 numeric 34 0.850 0.000
## 3920 data.3920 numeric 37 0.925 0.000
## 6560 data.6560 numeric 35 0.875 0.000
## 6561 data.6561 numeric 25 0.625 0.000
## 6708 data.6708 numeric 35 0.875 0.130
## 6711 data.6711 numeric 32 0.800 0.000
## 6714 data.6714 numeric 28 0.700 0.000
## Second.Mode.Value First.Mode.Count Second.Mode.Count
## 124 0.295 16 2
## 412 0.360 7 2
## 513 0.000 5 2
## 2721 -0.470 2 1
## 3253 -0.090 8 2
## 3725 -0.920 12 2
## 3735 5.790 2 1
## 3790 0.150 6 2
## 3920 0.680 3 2
## 6560 -0.220 5 2
## 6561 -0.900 16 1
## 6708 0.100 3 2
## 6711 -0.660 5 2
## 6714 0.330 13 1
## First.Second.Mode.Ratio Minimum Mean Median Maximum Skewness Kurtosis
## 124 8.000 -1.995 -0.097 0.000 5.255 3.050 18.210
## 412 3.500 -1.100 0.325 0.000 8.040 4.309 24.673
## 513 2.500 -0.860 0.014 -0.010 3.610 3.489 19.111
## 2721 2.000 -4.750 -0.048 0.130 0.920 -3.162 16.574
## 3253 4.000 -0.620 0.061 0.000 3.010 3.707 19.901
## 3725 6.000 -0.970 0.020 0.000 3.790 3.132 17.202
## 3735 2.000 -1.280 0.076 -0.075 5.790 3.248 17.111
## 3790 3.000 -2.440 -0.035 0.000 0.520 -3.624 19.976
## 3920 1.500 -4.670 -0.042 0.125 1.140 -3.028 12.680
## 6560 2.500 -1.470 0.079 0.000 7.250 4.003 22.991
## 6561 16.000 -0.940 0.092 0.000 5.870 4.429 25.428
## 6708 1.500 -2.490 -0.035 0.018 0.710 -3.176 17.711
## 6711 2.500 -1.670 0.172 -0.010 6.630 3.299 17.330
## 6714 13.000 -2.140 0.010 0.000 6.830 3.646 20.478
## Percentile25th Percentile75th
## 124 -0.402 0.000
## 412 -0.336 0.600
## 513 -0.315 0.170
## 2721 -0.340 0.455
## 3253 -0.113 0.110
## 3725 -0.263 0.128
## 3735 -0.465 0.362
## 3790 -0.175 0.192
## 3920 -0.213 0.487
## 6560 -0.343 0.310
## 6561 -0.312 0.013
## 6708 -0.153 0.130
## 6711 -0.403 0.430
## 6714 -0.435 0.0181.3 Data Preprocessing
1.3.1 Centering and Scaling
[A] To maintain an objective comparison across the different descriptors, centering and scaling transformation was applied on the numeric variables. The center method from the caret package was implemented which subtracts the average value of a numeric variable to all the values. As a result of centering, the variables had zero mean values. In addition, the scale method, also from the caret package, was applied which performs a center transformation with each value of the variable divided by its standard deviation. Scaling the data coerced the values to have a common standard deviation of one.
Code Chunk | Output
##################################
# Loading dataset
##################################
DPA <- NCI60
##################################
# Listing all descriptors
##################################
DPA.Descriptors <- DPA
##################################
# Listing all numeric descriptors
##################################
DPA.Descriptors.Numeric <- DPA.Descriptors[,sapply(DPA.Descriptors, is.numeric)]
##################################
# Applying a center and scale data transformation
##################################
DPA.Descriptors.Numeric_CenteredScaled <- preProcess(DPA.Descriptors.Numeric, method = c("center","scale"))
DPA.Descriptors.Numeric_CenteredScaledTransformed <- predict(DPA.Descriptors.Numeric_CenteredScaled, DPA.Descriptors.Numeric)
row.names(DPA.Descriptors.Numeric_CenteredScaledTransformed) <- NULL1.4 Data Exploration
[A] Most descriptors demonstrated differential relationships across the different levels of the Cancer variable. Although, as driven by the huge number, the best descriptors cannot be clearly established.
Code Chunk | Output
##################################
# Loading dataset
##################################
Cancer <- NCI60$labs
NCI60_Transformed <- cbind(DPA.Descriptors.Numeric_CenteredScaledTransformed, Cancer )
EDA <- as.data.frame(NCI60_Transformed)
##################################
# Creating a function to define the
# range of descriptors for plotting
##################################
featurePlotRange <- function(start,end){
##################################
# Listing all Descriptors
##################################
EDA.Descriptors <- EDA[,start:end]
EDA.Descriptors.Numeric <- EDA.Descriptors[,sapply(EDA.Descriptors, is.numeric)]
##################################
# Formulating the box plots
##################################
featurePlotResult <- featurePlot(x = EDA.Descriptors.Numeric,
y = EDA$Cancer,
plot = "box",
scales = list(x = list(relation="free", rot = 90),
y = list(relation="free")),
adjust = 1.5,
pch = "|")
return(featurePlotResult)
}
##################################
# Plotting the descriptors
##################################
for (i in 0:242){
print(featurePlotRange(1+28*i,28*(i+1)))
}
featurePlotRange(1+28*243,6830)
1.5 Clustering and Segmentation
1.5.1 Partitioning Method - K-Means (PM_KMEANS)
K-Means Clustering groups similar data points together into clusters by minimizing the mean distance between geometric points. The algorithm iteratively partitions data sets into a fixed number of non-overlapping k subgroups or clusters wherein each data point belongs to the cluster with the nearest mean cluster center. The process begins by initializing all the coordinates into a pre-defined k number of cluster centers. With every pass of the algorithm, each point is assigned to its nearest cluster center. The cluster centers are then updated to be the centers of all the points assigned to it in that pass. This is performed by re-calculating the cluster centers as the average of the points in each respective cluster. The algorithm repeats until there’s a minimum change of the cluster centers from the last iteration.
[A] The k-means algorithm was implemented only for descriptors using the stats package.
[B] The optimal number of clusters was 3 to 4 as determined using the average silhouette width, total within sum of squares and gap statistic.
[C] Using a fixed number of clusters equal to 3, the average silhouette width was determined to be 0.08875.
[D] The derived clusters were sufficiently informative after applying principal component analysis on the given analysis data.
Code Chunk | Output
##################################
# Loading dataset
##################################
CS <- EDA
CS.Numeric <- CS[,sapply(CS, is.numeric)]
row.names(CS.Numeric) <- c("RENAL.1","BREAST.1","BREAST.2","NSCLC.1","NSCLC.2","RENAL.2","RENAL.3","RENAL.4",
"RENAL.5","RENAL.6","RENAL.7","RENAL.8","BREAST.3","NSCLC.3","RENAL.9","MELANOMA.1",
"NSCLC.4","NSCLC.5","NSCLC.6","COLON.1","COLON.2","COLON.3","COLON.4","COLON.5",
"COLON.6","COLON.7","BREAST.4","BREAST.5","NSCLC.7","NSCLC.8","NSCLC.9","MELANOMA.2",
"BREAST.6","BREAST.7","MELANOMA.3","MELANOMA.4","MELANOMA.5","MELANOMA.6","MELANOMA.7","MELANOMA.8")
##################################
# Evaluating for optimal number of clusters
# using the silhouette method
##################################
CS_PM_KMEANS_OptimalKPlot_Silhouette <- fviz_nbclust(CS.Numeric,
kmeans,
method = "silhouette",
k.max = 5) +
labs(title = "PM_KMEANS : Optimal Number of Clusters",
subtitle = "Silhouette Method",
y = "Average Silhouette Width",
x = "Number of Clusters") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the elbow method
#################################
CS_PM_KMEANS_OptimalKPlot_Elbow <- fviz_nbclust(CS.Numeric,
kmeans,
method = "wss",
k.max = 5) +
labs(title = "PM_KMEANS : Optimal Number of Clusters",
subtitle = "Elbow Method",
y = "Total Within Sum of Squares",
x = "Number of Clusters") +
geom_vline(xintercept = 4, linetype = 2, color="steelblue") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the gap statistic method
#################################
set.seed(12345678)
CS_PM_KMEANS_OptimalKPlot_Gap <- fviz_nbclust(CS.Numeric,
kmeans,
method = "gap_stat",
k.max = 5,
nstart = 25,
nboot = 50) +
labs(title = "PM_KMEANS : Optimal Number of Clusters",
subtitle = "Gap Statistic Method",
y = "Gap Statistic",
x = "Number of Clusters") +
theme_classic()
##################################
# Performing k-means
##################################
set.seed(12345678)
CS_PM_KMEANS <- kmeans(CS.Numeric, centers=3, nstart=100)
##################################
# Measuring the silhouette metric
##################################
CS_PM_KMEANS_Silhouette <- silhouette(CS_PM_KMEANS$cluster, dist(CS.Numeric))
CS_PM_KMEANS_SilhouettePlot <- fviz_silhouette(CS_PM_KMEANS_Silhouette) +
labs(title = "PM_KMEANS : Clusters Silhouette Plot",
subtitle = "Average Silhouette Width : 0.08875",
y = "Silhouette Width",
x = "Observation Indices") +
theme_classic() +
theme(legend.position="top")## cluster size ave.sil.width
## 1 1 9 0.17
## 2 2 14 0.08
## 3 3 17 0.06CS_PM_KMEANS_Silhouette_Summary <- summary(CS_PM_KMEANS_Silhouette)
(SI_CS_PM_KMEANS <- CS_PM_KMEANS_Silhouette_Summary$avg.width)## [1] 0.08875424##################################
# Gathering all optimal k assessment plots
##################################
grid.arrange(CS_PM_KMEANS_OptimalKPlot_Silhouette,
CS_PM_KMEANS_SilhouettePlot,
CS_PM_KMEANS_OptimalKPlot_Elbow,
CS_PM_KMEANS_OptimalKPlot_Gap,
ncol = 2)
##################################
# Formulating the cluster plot
# for partition methods
##################################
fviz_cluster(CS_PM_KMEANS, CS.Numeric, ellipse.type = "norm") +
labs(title = "PM_KMEANS : Cluster Plot") +
theme_classic() +
theme(legend.position="top")
##################################
# Performing PCA
##################################
CS_PCA <- prcomp(CS.Numeric)
##################################
# Consolidating the PCA components
##################################
rownames(CS_PCA$x) <- NULL
CS_PCA$x <- as.data.frame(CS_PCA$x)
Cancer <- EDA$Cancer
Cluster <- CS_PM_KMEANS$cluster
(CS_PCA_FULL <- cbind(CS_PCA$x, Cancer, Cluster))## PC1 PC2 PC3 PC4 PC5
## RENAL.1 -40.8088245 -14.8802016 16.2459556 -38.2817266 18.1630030
## BREAST.1 -51.5500146 -29.2010472 -0.5245907 -12.1207332 26.0534755
## BREAST.2 -13.7635414 -25.2137671 -5.6819200 -8.2167216 17.7958711
## NSCLC.1 -2.7640149 -22.8663818 -13.9921760 7.1696449 -14.1402050
## NSCLC.2 -8.0261033 -38.9617762 12.4668341 0.9197449 -1.8134715
## RENAL.2 -12.7372495 -25.9637086 19.1805968 -8.4279248 -3.2445344
## RENAL.3 -21.9954671 -31.0022753 15.9591389 -6.1391468 5.0465695
## RENAL.4 -3.5532030 -25.4031521 4.1969862 12.6052057 -7.5792539
## RENAL.5 -5.5173770 -28.1191530 12.0951125 -5.8165800 -7.1408449
## RENAL.6 -8.3719563 -30.9582948 12.1046523 11.9305480 -2.7731281
## RENAL.7 2.8959718 -30.7837695 5.7349344 11.5550413 -22.9080066
## RENAL.8 5.3069387 -29.6107020 8.7054161 18.3579936 -22.4206274
## BREAST.3 -5.0598254 -25.8998936 -54.4733676 17.7548313 32.0110649
## NSCLC.3 -17.9460560 -22.5915590 -12.2095525 -14.1508590 17.5997336
## RENAL.9 -7.4957997 -17.1959802 -58.6154816 27.0855829 18.5751455
## MELANOMA.1 -0.8344225 -8.2907519 -5.3795389 15.2128747 -14.4609872
## NSCLC.4 -3.4001679 -10.1847753 10.1721991 -22.3844409 -8.7377302
## NSCLC.5 12.3958164 -8.9193957 2.3597897 5.2428604 -20.4635629
## NSCLC.6 13.3276062 -0.4863236 0.7172494 3.5771746 -14.5121517
## COLON.1 26.9589559 4.2711378 -4.3513678 7.0075103 -8.6872749
## COLON.2 47.5798084 15.4914785 3.1841573 5.8903455 0.6073829
## COLON.3 41.9787114 6.5593316 0.9338801 4.9008842 -2.1785079
## COLON.4 44.5262442 2.2667709 16.0939759 29.2312602 15.9169504
## COLON.5 36.4902492 7.3146133 16.6755272 13.2383511 8.1584545
## COLON.6 50.6448684 21.4378836 23.1875409 -3.7118217 39.7015977
## COLON.7 44.0862657 -1.5644816 13.6732504 6.0656819 20.7716645
## BREAST.4 40.6519776 24.5172410 -25.5387128 -45.3738586 4.1080822
## BREAST.5 22.9713315 15.4143701 -4.1500573 -57.9832651 13.2374617
## NSCLC.7 27.4545511 -4.6446282 14.0078407 7.8443574 4.5409616
## NSCLC.8 12.6757981 3.6075173 -13.6707020 -12.1398310 -22.0718987
## NSCLC.9 16.0267350 7.2540219 -45.4669794 -28.7616875 -50.0669119
## MELANOMA.2 -16.4591771 50.0771824 -5.0036369 10.2645856 -8.1953325
## BREAST.6 -30.5924194 46.8761625 -17.2970209 18.4140507 14.2181976
## BREAST.7 -27.8580043 51.3894656 -13.9635438 15.3067843 13.1229292
## MELANOMA.3 -31.2608825 25.5338769 13.2461364 -11.1975320 3.6387321
## MELANOMA.4 -32.2158242 32.3561935 20.2693105 21.2179617 -12.1283413
## MELANOMA.5 -18.5667828 36.8335927 8.7781170 -2.8270593 -12.1850200
## MELANOMA.6 -28.3150641 23.2440163 20.8873335 -7.9899270 -8.3931369
## MELANOMA.7 -33.8196803 35.0235655 8.7515386 7.4968066 -2.5206323
## MELANOMA.8 -23.0599717 23.2735969 0.6911745 7.2330330 -6.6457172
## PC6 PC7 PC8 PC9 PC10
## RENAL.1 -28.38092369 21.9360840 -21.49289800 12.42489224 -11.45580794
## BREAST.1 -25.27229319 -27.2267499 22.01112313 11.51452613 -3.19298911
## BREAST.2 -29.88953860 -12.6913892 18.26969226 -14.47083048 29.55837428
## NSCLC.1 -19.45218485 -12.0648147 14.47134018 3.70496393 -3.72829937
## NSCLC.2 -2.26985385 -34.9803273 -8.15941746 -2.90368131 -0.06992716
## RENAL.2 25.02563649 -0.9274886 -27.48698049 -10.75262099 25.78300754
## RENAL.3 -3.06337353 0.9234828 2.79109481 -19.37829157 10.04853452
## RENAL.4 1.93151980 -2.5436281 8.50786896 -17.68055126 4.31828296
## RENAL.5 18.89411731 -3.2392609 -14.53915686 1.35078309 -1.15944253
## RENAL.6 7.02976483 -6.3282109 -2.09606603 -8.24430948 -23.31464854
## RENAL.7 27.27080813 9.6457298 -7.17570995 -6.48985822 -14.27810815
## RENAL.8 1.50429918 19.6620620 4.67557437 -30.07609407 -15.36729568
## BREAST.3 2.77045873 41.2023941 19.26531797 -8.63506102 -2.37823319
## NSCLC.3 30.86139578 45.0693093 12.05452350 20.58654604 16.85115177
## RENAL.9 18.90020279 -29.8536660 -24.72635784 30.01506309 -22.09040654
## MELANOMA.1 -12.30310119 -11.2336027 -9.60906269 5.07627230 -15.18529030
## NSCLC.4 9.73566901 -8.7066714 -0.12500047 15.00014880 24.23952762
## NSCLC.5 7.93441731 -6.6777021 -9.39165313 6.58950917 13.46592000
## NSCLC.6 8.56196542 11.3683922 -18.06519530 17.60639824 12.43302438
## COLON.1 -6.84016580 1.4447745 0.02513843 -2.75682854 1.58450902
## COLON.2 -32.67820562 6.7326857 -12.67590760 6.36460948 -2.63630658
## COLON.3 -13.21767689 2.7950410 0.97945308 -0.99743441 -2.90881911
## COLON.4 -2.65785991 2.4322102 8.96480766 3.26566456 3.69900020
## COLON.5 0.91006347 -2.1541591 10.05164740 -0.85193392 13.00799128
## COLON.6 4.89534872 -0.6777417 1.09375773 13.59007457 4.53546990
## COLON.7 -20.19369435 11.6279024 -13.90697879 0.06379269 -3.87199378
## BREAST.4 22.02405897 -11.7633377 7.51969122 -29.80631864 -12.12600464
## BREAST.5 19.95380457 -15.5090626 6.57001828 -12.24025162 -26.75442677
## NSCLC.7 12.51326434 -11.0749508 17.51374822 12.42061375 -7.45600600
## NSCLC.8 -13.70154630 -4.3464857 1.83785771 13.04958563 14.42659393
## NSCLC.9 -27.03728367 10.9233548 2.94486867 5.48524782 10.05081060
## MELANOMA.2 24.23590930 -6.5646977 5.93341514 12.79574386 16.09245861
## BREAST.6 -0.90455426 -7.7164417 -24.44023046 -25.54680407 14.15386012
## BREAST.7 -1.28602988 -6.6637144 -20.38427183 -24.10866434 13.48486070
## MELANOMA.3 -17.93583214 19.9118913 -36.53466208 2.66411947 -18.07211789
## MELANOMA.4 -7.49570716 11.4350190 20.58869491 2.38248074 -21.51176542
## MELANOMA.5 -3.32272881 -0.8177342 13.76333873 12.86893287 -12.42498255
## MELANOMA.6 15.96654936 12.7722421 10.32805983 13.20475832 -7.52284706
## MELANOMA.7 6.88371944 -17.2262780 24.70115261 5.36417620 4.34745981
## MELANOMA.8 0.09958072 11.1055405 15.94736416 -12.44936903 -4.57511893
## PC11 PC12 PC13 PC14 PC15
## RENAL.1 -18.8168144 0.4383544 10.382425 -20.23685151 -4.6010710
## BREAST.1 10.0738688 12.8829960 20.009948 6.19764786 -3.8854535
## BREAST.2 4.3695447 -7.5227353 1.476144 -26.70018056 -6.3303967
## NSCLC.1 4.1428596 -13.4388944 8.260839 8.92169343 15.0172598
## NSCLC.2 13.9552117 33.2943222 -48.722943 -8.49712147 7.2296046
## RENAL.2 -0.4334825 6.6396454 4.605529 10.80962975 -1.9370162
## RENAL.3 4.3587775 -8.5435981 10.993360 14.70941051 -9.6464027
## RENAL.4 -9.4274060 -15.1788605 7.210812 -0.03107319 -1.5514343
## RENAL.5 10.4467645 -18.2469475 -0.181811 -2.10161603 -0.9986700
## RENAL.6 12.9809511 -14.2836494 -4.199049 6.86104389 -9.6966713
## RENAL.7 20.7789594 11.8037497 10.347702 -3.04056404 0.2588320
## RENAL.8 -8.0733457 -9.8046604 7.338112 -2.89923530 -10.4512713
## BREAST.3 -9.1676234 24.4651831 -4.724110 15.16388019 -8.6775178
## NSCLC.3 17.1056592 -19.3408400 -14.682348 -10.07989009 16.4202666
## RENAL.9 -5.2578025 -8.4092562 2.443615 -4.68878521 -2.9904893
## MELANOMA.1 6.1121546 -5.9597708 11.062757 -3.18537088 16.5292222
## NSCLC.4 -14.6792530 6.6988410 -6.673776 17.12727510 -6.2134922
## NSCLC.5 -8.4530506 14.7777072 16.796744 8.83900537 7.9240847
## NSCLC.6 -21.2203210 8.2411447 18.170243 -11.20301737 14.4850830
## COLON.1 2.6638907 0.6631448 3.429936 -16.32779360 2.2268558
## COLON.2 24.2006024 -18.3947634 -1.410194 -1.93945596 4.5280082
## COLON.3 -4.4964095 8.7221868 -2.697517 -14.72479143 -4.1402033
## COLON.4 -2.9558684 7.3807056 -1.536895 -32.09656266 -2.9686419
## COLON.5 -5.6012296 5.3065718 -9.884840 -3.92625132 -1.1400039
## COLON.6 27.9727679 0.4295279 16.323474 21.37620261 16.1321809
## COLON.7 -3.1716112 -1.6146309 -9.552245 33.07799449 -18.0543083
## BREAST.4 2.2566136 27.0753291 25.573821 -9.96620079 4.7494142
## BREAST.5 -9.6691470 -26.1355923 -17.512080 -1.35475670 -3.4399884
## NSCLC.7 -43.7374523 -3.4053080 -13.438531 9.34462955 -3.6913470
## NSCLC.8 -23.1384343 -14.1900875 1.936784 2.14248203 -0.0360884
## NSCLC.9 16.8669224 6.0753951 -15.014390 13.98184396 -5.4968034
## MELANOMA.2 17.2265831 -8.7747718 2.582105 -14.44534062 -50.0848743
## BREAST.6 -2.4105471 -2.9607682 -4.815252 4.91006085 10.0184308
## BREAST.7 -3.9477204 -5.4719337 -5.985446 4.42792458 5.5675135
## MELANOMA.3 -4.6815714 10.1431936 -5.381634 -3.38166634 -5.0803943
## MELANOMA.4 -6.0768720 12.5698064 1.658638 6.06582023 -5.2243748
## MELANOMA.5 11.6469621 6.1656706 1.025565 6.33710418 -8.1620026
## MELANOMA.6 7.7556527 15.0519608 -5.904430 -4.47247291 9.3518672
## MELANOMA.7 -5.3993409 -5.6860604 8.801084 8.14923859 14.3096810
## MELANOMA.8 -4.0994429 -11.4623076 -18.112146 -3.14388917 29.7506126
## PC16 PC17 PC18 PC19 PC20
## RENAL.1 -5.662949378 8.8696591 10.7636590 -8.9843050 -0.2568009
## BREAST.1 18.857960027 -5.9345514 16.5996513 -6.3421916 -13.5194798
## BREAST.2 -15.072362756 7.9522776 -21.2526061 19.7533341 18.6685410
## NSCLC.1 9.181009767 -5.3411933 -4.1403511 -12.3897400 17.4646938
## NSCLC.2 -6.498513959 -8.5218321 -13.6872200 -3.6913270 -11.2109919
## RENAL.2 -15.907323043 4.2115467 1.9997001 -18.9375283 3.0937154
## RENAL.3 -5.846137256 -1.0021390 -5.2128520 11.8988689 -10.2074044
## RENAL.4 -6.691803619 2.8418483 4.3773496 -4.7885604 -1.3462391
## RENAL.5 -0.007016485 4.3033793 7.3978992 -1.4885321 7.1283098
## RENAL.6 20.861392917 -3.3000768 1.4409800 3.3420850 -0.4893533
## RENAL.7 17.359266948 8.4877141 3.7647429 15.7787486 4.5177008
## RENAL.8 -16.840942374 8.1188689 1.5147300 7.3569731 -10.8255481
## BREAST.3 12.684710639 13.7166479 -19.6041940 -15.0902642 5.6236444
## NSCLC.3 1.170108975 -27.6443560 13.9822213 2.8084054 -9.5609004
## RENAL.9 -25.399862065 7.2628585 3.8618902 19.3240361 -5.9771364
## MELANOMA.1 -1.868377802 -18.5275567 -6.2049813 -28.3639118 27.2557923
## NSCLC.4 18.133056260 10.2649900 5.1042998 15.3638033 -0.1955358
## NSCLC.5 5.114134153 3.4516651 -4.1979496 -7.4483942 -2.3635385
## NSCLC.6 1.584596285 0.1094674 -32.8089019 -5.7834102 -20.9953511
## COLON.1 6.103126868 -6.4199859 10.9877739 -6.0494608 -1.2852115
## COLON.2 27.907154739 10.9518394 -16.9653819 8.9886548 -21.8469609
## COLON.3 3.676459791 -0.1118281 4.5407698 -2.9962697 -5.3321513
## COLON.4 0.051563859 5.7295269 22.7001825 -3.5054393 -2.9346423
## COLON.5 -4.524643721 1.1784995 10.5716993 -8.5395999 4.6475695
## COLON.6 -20.996547772 23.0476070 0.5577855 1.2009484 10.6691302
## COLON.7 -13.508886953 -37.6883772 -4.5161224 3.5946606 -0.4505893
## BREAST.4 -0.442604463 -25.3692448 4.8017413 11.4783325 -0.4102515
## BREAST.5 1.394634847 15.4565606 -14.9202702 -17.0508084 -5.4315167
## NSCLC.7 15.770117599 6.2396392 12.7335287 3.0268453 12.9640513
## NSCLC.8 0.872850393 -18.7086585 -5.5420840 22.4894648 7.8733868
## NSCLC.9 -15.407395963 18.2175406 24.3717965 -7.1611468 -3.0351285
## MELANOMA.2 3.217855898 -7.2108317 -11.5645979 -18.5248904 4.4067783
## BREAST.6 13.432072382 3.2484689 11.6611216 6.4709425 1.7349520
## BREAST.7 10.827432333 1.4601952 7.3635415 2.3383908 1.6739053
## MELANOMA.3 3.020712942 -2.7248282 1.5876700 0.5402548 7.7460470
## MELANOMA.4 -20.657955455 -0.2459432 0.4491535 6.5466252 -8.7668730
## MELANOMA.5 -4.437368428 -0.9557561 -8.0826596 9.4194930 2.9166478
## MELANOMA.6 5.046018818 7.3758665 -9.7645090 17.6199847 23.8575430
## MELANOMA.7 -6.909945573 -1.2492458 0.2481165 -12.0278626 -26.0602046
## MELANOMA.8 -9.585599374 -1.5402623 -4.9173230 -0.1772090 0.2594007
## PC21 PC22 PC23 PC24 PC25
## RENAL.1 -8.1219384 -2.3801543 3.0790325 6.3736255 1.7427830
## BREAST.1 0.7215126 7.1277163 -17.6387968 -14.9752124 -4.7005542
## BREAST.2 3.3406108 -15.4509420 3.5723914 -14.9283409 -2.1095204
## NSCLC.1 4.2065659 23.7308508 -13.8757244 10.5920014 26.3754459
## NSCLC.2 3.9189028 0.5681244 -5.9699825 18.0221937 -0.3761069
## RENAL.2 -22.3263431 6.6849106 7.7366811 -5.2977699 -1.1984125
## RENAL.3 -3.5565476 -6.5537463 12.4515992 6.0980861 9.0640498
## RENAL.4 5.6343692 12.2505087 8.1958207 5.3404963 12.5512465
## RENAL.5 -15.4655745 -3.5281985 -2.8179072 10.4067872 5.2362113
## RENAL.6 -10.4596192 -15.4881191 -4.3265631 0.6876053 1.5697694
## RENAL.7 -5.8395443 -11.5313297 -5.7195490 -11.0560002 -8.9933186
## RENAL.8 24.9674078 10.5473884 -11.1246393 4.1557700 -10.1077242
## BREAST.3 -8.6284869 0.2913260 5.7157797 11.0315982 -7.8523564
## NSCLC.3 17.2947725 -7.4081767 0.9647080 3.3030903 5.6037903
## RENAL.9 -1.5201623 8.5760457 9.9233511 -7.6996833 4.0943606
## MELANOMA.1 16.3498667 -20.9344736 19.2563060 -0.9705273 -19.3872899
## NSCLC.4 24.6657839 16.2455963 21.1266018 -0.5275090 -15.6730338
## NSCLC.5 9.3415250 5.4671907 -3.3690174 -6.3121332 -5.7167584
## NSCLC.6 5.7319748 -12.6021784 -21.0579833 -11.3452123 13.2880523
## COLON.1 0.6130267 18.6642097 10.4765600 -5.9712671 -8.9539775
## COLON.2 -10.9003565 3.9739589 17.5886014 -0.0328078 0.1992447
## COLON.3 0.7128408 1.7036746 13.1175181 9.0650976 16.7275581
## COLON.4 -2.8625341 0.8677419 -13.3645979 1.2394907 -17.4825024
## COLON.5 0.6326389 -4.2007542 8.5923598 -10.5437977 20.8631739
## COLON.6 5.4187031 0.5027922 -12.1825950 17.3025828 -5.3917262
## COLON.7 -2.2971767 2.1539241 -6.9546962 -22.7515409 -3.9738973
## BREAST.4 -6.6866229 0.9138177 7.0471814 4.9361990 6.5890090
## BREAST.5 11.6855200 -0.3913481 -8.9530002 -7.9650281 -7.4553939
## NSCLC.7 -6.7105389 -17.1260109 0.3417719 -3.1554901 9.2348679
## NSCLC.8 -17.8316181 -0.1175261 -15.3830107 28.1839987 -19.2792220
## NSCLC.9 -4.0988363 -14.8527648 -7.3493888 -9.0834538 3.0192383
## MELANOMA.2 -3.2470754 9.2124714 -6.5703924 3.4132136 -1.0257982
## BREAST.6 9.1387592 -8.0408700 -9.2760804 0.3765344 2.5097839
## BREAST.7 7.0031336 -6.2545305 -7.5446763 2.6599035 3.3926133
## MELANOMA.3 5.3814560 9.1020142 2.6611341 5.3897348 1.3938781
## MELANOMA.4 1.9289217 -7.3293128 0.5146652 7.3253317 2.2532674
## MELANOMA.5 11.7528752 -4.5907382 7.8478776 1.3076374 8.3123198
## MELANOMA.6 -5.7619531 9.7628258 -1.6936237 -12.2066519 6.4309534
## MELANOMA.7 -11.7882412 -12.5488028 15.4478542 6.0991416 -9.7397871
## MELANOMA.8 -22.3379977 22.9828883 -0.4855703 -18.4876938 -11.0342370
## PC26 PC27 PC28 PC29 PC30
## RENAL.1 2.1026327 -19.8940420 -2.75429558 -5.8534300 -0.3143682
## BREAST.1 -7.0384185 12.9504524 -10.78191257 -10.1032115 -3.2560589
## BREAST.2 -1.1763404 -4.5466368 17.96171498 -4.7559058 2.4451659
## NSCLC.1 4.7147359 -8.2919569 15.50691093 11.6803089 1.8635974
## NSCLC.2 -4.4211664 -8.0446471 -2.53713571 -0.3841517 -6.7892244
## RENAL.2 -4.6658462 9.5878528 2.30279860 -5.4374246 -7.5225257
## RENAL.3 -4.6886985 11.0211499 -21.88322630 25.0984307 -3.1940147
## RENAL.4 7.4303607 -0.3502826 -7.13099119 5.1271850 -7.7255526
## RENAL.5 -11.5816924 17.0448958 21.21647355 -0.1886500 8.7706326
## RENAL.6 16.0062084 -13.8289271 -3.49215881 -3.3873177 21.3084337
## RENAL.7 10.3462673 -7.1157220 3.42786281 -5.6943307 -5.3163063
## RENAL.8 -4.9498670 -9.8364189 -3.90238457 -10.8107034 -9.3540090
## BREAST.3 2.9677480 4.2439599 2.53640697 0.5829024 1.4279022
## NSCLC.3 -6.1403677 1.0977840 2.86842817 -3.9138924 -2.4693453
## RENAL.9 1.7464998 0.8782478 -3.02814124 0.9493338 0.7244590
## MELANOMA.1 -6.2090284 4.5572797 -14.56963834 3.1774711 -0.4073078
## NSCLC.4 4.3008390 -7.4765416 0.93575009 6.6274326 17.1092039
## NSCLC.5 -10.3343179 6.0017701 14.96250751 -9.3231358 10.8651383
## NSCLC.6 2.2447792 -2.5523635 -7.93106844 7.9053385 2.6873129
## COLON.1 5.7570433 1.8739553 5.83506422 -7.6679446 -20.3342928
## COLON.2 -18.1913154 1.3043948 0.05464163 -1.3205485 -6.6851706
## COLON.3 12.9175753 13.1326317 -1.53768672 -17.7757180 2.6068817
## COLON.4 3.3304030 10.1798907 4.11826656 31.7687696 7.4466170
## COLON.5 14.1904541 3.3264652 -16.29605630 -14.2476081 17.0732946
## COLON.6 -1.3872065 -12.1536584 -7.22991862 -6.1563584 -0.9839112
## COLON.7 8.8728997 -3.0454937 11.45658552 3.4000561 -4.6314308
## BREAST.4 -10.3974015 -10.0631855 1.27395112 5.2633043 5.4012083
## BREAST.5 8.0833874 17.4165249 2.41272227 0.1794548 -0.7442598
## NSCLC.7 -26.3908730 -13.2113823 1.01874768 0.7740935 -17.4528621
## NSCLC.8 10.3537247 11.5452833 -11.75390075 -10.6153986 -0.2862480
## NSCLC.9 0.3156814 -3.4835761 -3.48382193 7.7206823 -1.5409177
## MELANOMA.2 -8.5289627 -13.6852935 -7.42651403 -1.2737961 0.1397490
## BREAST.6 0.5440509 0.4227033 -0.09338069 -3.0128543 -3.1441940
## BREAST.7 0.2208376 3.4800107 -0.17637738 -1.6661700 -2.6944162
## MELANOMA.3 2.4763714 -0.7636371 7.15031337 10.1125634 4.6749957
## MELANOMA.4 -14.6525677 17.0019292 10.33070240 -7.4387306 10.8720916
## MELANOMA.5 -4.0513436 4.5882474 3.13882370 2.8619400 -0.0298255
## MELANOMA.6 15.5871203 11.2713457 -7.92800429 4.9564524 -18.8798657
## MELANOMA.7 24.3737713 -13.4028702 17.88331700 4.1668869 -9.6203518
## MELANOMA.8 -14.0779774 -11.1801394 -12.45537562 -1.3253256 17.9597754
## PC31 PC32 PC33 PC34 PC35
## RENAL.1 0.7392229 0.8240341 18.3377284 -4.9693360 -14.0842734
## BREAST.1 -5.3310559 5.6192735 -7.8232664 1.0150830 4.7571443
## BREAST.2 2.3464771 -3.1078894 -4.6107417 2.7497810 5.7614019
## NSCLC.1 10.5586067 5.2638408 5.6670547 -4.4994210 6.9027466
## NSCLC.2 -0.6416232 -1.1144497 1.4874385 -0.5385799 -4.9270386
## RENAL.2 18.4657018 6.2816303 1.2411642 -5.6300513 13.8848475
## RENAL.3 -2.4889191 -10.1445704 5.1797492 -1.4066064 2.0740554
## RENAL.4 -0.9913807 -10.9460570 -0.7305702 3.8774439 -8.8105573
## RENAL.5 -31.3140950 8.1074467 -10.3289009 0.5328424 -13.7777199
## RENAL.6 7.8388647 -15.0281816 -1.8934256 9.7783495 -2.1499828
## RENAL.7 1.7917785 0.2538712 6.2339125 -15.5435647 10.9162952
## RENAL.8 -2.2645966 21.1747655 -6.0367308 3.7333508 -0.7269103
## BREAST.3 -3.3994934 1.3075061 -3.0402434 -2.9920445 -4.7277863
## NSCLC.3 8.3118214 -1.0447135 1.2547621 2.2016476 3.9067613
## RENAL.9 3.9010649 1.6700509 0.8818550 1.2754767 0.2090014
## MELANOMA.1 -3.2324218 5.4439823 1.3558165 4.0156304 0.5925067
## NSCLC.4 -7.4931789 1.7621396 0.4775051 1.9857327 2.7331805
## NSCLC.5 11.4104859 -7.3503902 13.6738275 8.1807869 -13.2761144
## NSCLC.6 -10.9315454 -5.5501490 -8.3696381 -1.4143996 2.0760668
## COLON.1 -4.6157737 -31.9581010 -13.0348274 -8.9431962 -7.8998579
## COLON.2 12.5982700 11.9254698 -0.9279571 4.1286007 -4.9221188
## COLON.3 -19.8375935 0.4513075 18.7456304 8.2548082 24.4171753
## COLON.4 6.3090603 5.6225258 7.1500232 -2.4478230 0.1984293
## COLON.5 10.9023911 13.3422544 -17.1664113 -9.2994318 -13.2575320
## COLON.6 -4.8140819 -9.1205348 -3.2107145 2.1820082 3.7940292
## COLON.7 -7.4839051 2.8298206 8.1109842 1.1667600 -4.2046214
## BREAST.4 1.8825868 5.1295454 -3.3191451 4.6649271 -3.6234702
## BREAST.5 7.5589740 -3.3446081 3.1312707 -3.0868140 2.0846453
## NSCLC.7 -0.2816572 -2.1376984 -3.6107122 1.1853505 6.8744437
## NSCLC.8 7.3584782 1.8447446 -3.1595211 -5.6049853 -0.3020799
## NSCLC.9 -1.7440254 -2.0257422 -2.2949303 5.9229999 -0.1049032
## MELANOMA.2 -2.1422900 -0.3112479 2.6521058 5.3188079 1.5592732
## BREAST.6 -0.7101322 -1.1154967 7.0541706 -2.3831608 -3.0419830
## BREAST.7 -2.0385481 1.4471411 4.0089958 0.3484982 -2.5585811
## MELANOMA.3 4.9611490 -1.1873226 -27.5224062 3.3604962 16.3576416
## MELANOMA.4 12.9181967 -13.4504395 1.1521312 8.0392110 0.7863998
## MELANOMA.5 -3.9475736 2.9827395 5.6554343 -34.3003018 -4.0424093
## MELANOMA.6 0.1451256 8.0190591 4.3864174 19.7665380 -11.2277096
## MELANOMA.7 -2.7191005 10.5705883 -5.2330746 3.7724375 1.4786129
## MELANOMA.8 -11.5752645 -2.9361451 4.4752393 -4.3978521 6.3009916
## PC36 PC37 PC38 PC39 PC40
## RENAL.1 2.641823192 5.8093584 -1.18907511 1.12077214 3.652287e-14
## BREAST.1 -1.444634896 -3.5605464 -2.85803721 0.20932831 1.525320e-14
## BREAST.2 -0.746636712 -2.2385048 0.16186651 0.02399461 -7.960039e-14
## NSCLC.1 2.284666197 12.9312900 2.18817647 0.45778842 1.354028e-14
## NSCLC.2 3.050009133 -0.1901342 -0.95261933 0.32715261 6.635317e-17
## RENAL.2 -17.317223331 2.7833530 -4.06727264 -0.35101809 3.471393e-14
## RENAL.3 11.767789238 5.9056366 17.86003253 -0.50443445 -5.407984e-14
## RENAL.4 3.802633574 -23.4966880 -27.09686042 -0.04114654 1.667676e-14
## RENAL.5 1.955167089 3.3557288 -0.83178130 -0.93333917 2.819641e-14
## RENAL.6 -21.493409795 -3.3307025 5.19960005 -0.16746945 2.819522e-15
## RENAL.7 22.401422008 2.7667389 -8.73856796 3.03745219 6.038139e-15
## RENAL.8 -7.843996875 2.7716556 9.37153100 -0.64147322 3.884913e-15
## BREAST.3 -1.096173952 -0.2946957 0.07876246 -0.49016155 1.973156e-14
## NSCLC.3 -0.230611108 -2.9776534 1.15764647 0.22288848 6.330526e-14
## RENAL.9 0.244325519 0.9982860 2.31291233 0.67593017 4.923313e-14
## MELANOMA.1 -0.114405049 3.3036504 -3.10146912 -0.09793988 1.496719e-14
## NSCLC.4 -4.144323391 11.5837889 -8.82500432 0.99877943 1.329861e-14
## NSCLC.5 9.771953072 -18.9126746 17.52370516 -0.36665725 3.019330e-14
## NSCLC.6 -6.820061583 5.5854694 -5.69808985 0.17466729 -1.651270e-13
## COLON.1 -5.126962625 12.1707871 8.48712769 0.67973902 -4.300813e-15
## COLON.2 -0.444335690 0.3385446 -5.83754476 -0.21293025 3.290293e-14
## COLON.3 -2.226541212 -4.0560325 4.42151987 -0.97133272 -1.866909e-14
## COLON.4 -5.443500627 -2.3617188 -0.81874533 -0.11917954 6.357241e-14
## COLON.5 10.903294271 5.4199815 3.91802986 -0.21458698 3.245191e-14
## COLON.6 0.199260778 -1.4514957 -0.48002348 0.41186831 2.486292e-15
## COLON.7 2.775666799 1.0179611 -4.18063938 -0.02757616 -1.983093e-14
## BREAST.4 -3.451544728 0.9708069 -3.22393746 -0.01597679 -1.675656e-14
## BREAST.5 5.243700946 1.4961966 -0.31485625 -0.77471788 2.319889e-14
## NSCLC.7 -0.001777824 -2.9551536 3.27249806 -0.15476970 1.251560e-14
## NSCLC.8 1.909964627 -2.8569881 -0.61588528 -0.55916158 6.762299e-14
## NSCLC.9 -1.709562643 -1.4958452 -0.56406809 0.14326041 -1.018942e-13
## MELANOMA.2 6.821007171 1.3895813 0.17428423 -1.36336421 2.330167e-15
## BREAST.6 -0.217116626 4.9527655 -2.75017950 -22.62075110 -7.769615e-14
## BREAST.7 -2.323587562 1.0830945 0.63420693 25.52064720 5.010879e-14
## MELANOMA.3 8.821286110 -13.9723966 5.17013951 -1.49320420 -2.169966e-14
## MELANOMA.4 3.341205451 16.6222088 -12.90971254 0.65225703 -1.731276e-14
## MELANOMA.5 -16.661986777 -13.9718102 3.15276677 -0.68821410 -8.026978e-14
## MELANOMA.6 -6.137885537 0.8910633 2.81106426 -0.76421494 -1.094957e-14
## MELANOMA.7 4.377296824 -1.9611237 5.13506540 -0.94888001 2.182716e-15
## MELANOMA.8 2.683806544 -4.0637834 2.02343378 -0.13402585 2.621731e-14
## Cancer Cluster
## RENAL.1 RENAL 3
## BREAST.1 BREAST 3
## BREAST.2 BREAST 3
## NSCLC.1 NSCLC 3
## NSCLC.2 NSCLC 3
## RENAL.2 RENAL 3
## RENAL.3 RENAL 3
## RENAL.4 RENAL 3
## RENAL.5 RENAL 3
## RENAL.6 RENAL 3
## RENAL.7 RENAL 3
## RENAL.8 RENAL 3
## BREAST.3 BREAST 3
## NSCLC.3 NSCLC 3
## RENAL.9 RENAL 3
## MELANOMA.1 MELANOMA 3
## NSCLC.4 NSCLC 3
## NSCLC.5 NSCLC 2
## NSCLC.6 NSCLC 2
## COLON.1 COLON 2
## COLON.2 COLON 2
## COLON.3 COLON 2
## COLON.4 COLON 2
## COLON.5 COLON 2
## COLON.6 COLON 2
## COLON.7 COLON 2
## BREAST.4 BREAST 2
## BREAST.5 BREAST 2
## NSCLC.7 NSCLC 2
## NSCLC.8 NSCLC 2
## NSCLC.9 NSCLC 2
## MELANOMA.2 MELANOMA 1
## BREAST.6 BREAST 1
## BREAST.7 BREAST 1
## MELANOMA.3 MELANOMA 1
## MELANOMA.4 MELANOMA 1
## MELANOMA.5 MELANOMA 1
## MELANOMA.6 MELANOMA 1
## MELANOMA.7 MELANOMA 1
## MELANOMA.8 MELANOMA 1CS_PCA_FULL$Algorithm <- rep("PM_KMEANS",nrow(CS_PCA_FULL))
table(CS_PCA_FULL$Cancer, CS_PCA_FULL$Cluster)##
## 1 2 3
## BREAST 2 2 3
## RENAL 0 0 9
## MELANOMA 7 0 1
## NSCLC 0 5 4
## COLON 0 7 0PM_KMEANS_PCA_FULL <- CS_PCA_FULL
##################################
# Plotting the best PCA components
# grouped by cluster
##################################
PM_KMEANS_ClusterPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cluster,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "PM_KMEANS BY CLUSTER")
##################################
# Plotting the best PCA components
# grouped by cancer
##################################
PM_KMEANS_CancerPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cancer,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "PM_KMEANS BY CANCER")
grid.arrange(PM_KMEANS_ClusterPlot,
PM_KMEANS_CancerPlot,
ncol = 1)
1.5.2 Partitioning Method - Partitioning Around Medoids (PM_PAM)
Partitioning Around Medoids performs partitioning (clustering) of the data into k clusters around medoids, representing a more robust version of K-means. The algorithm is based on the search for k representative objects or medoids among the observations of the data set. These observations should represent the structure of the data. After finding a set of k medoids, k clusters are constructed by assigning each observation to the nearest medoid. The goal is to find k representative objects which minimize the sum of the dissimilarities of the observations to their closest representative object.
[A] The partitioning around medoids algorithm was implemented only for descriptors using the cluster package.
[B] The optimal number of clusters was 3 as determined using the average silhouette width, total within sum of squares and gap statistic.
[C] Using a fixed number of clusters equal to 3, the average silhouette width was determined to be 0.08894.
[D] The derived clusters were sufficiently informative after applying principal component analysis on the given analysis data.
Code Chunk | Output
##################################
# Loading dataset
##################################
CS <- EDA
CS.Numeric <- CS[,sapply(CS, is.numeric)]
row.names(CS.Numeric) <- c("RENAL.1","BREAST.1","BREAST.2","NSCLC.1","NSCLC.2","RENAL.2","RENAL.3","RENAL.4",
"RENAL.5","RENAL.6","RENAL.7","RENAL.8","BREAST.3","NSCLC.3","RENAL.9","MELANOMA.1",
"NSCLC.4","NSCLC.5","NSCLC.6","COLON.1","COLON.2","COLON.3","COLON.4","COLON.5",
"COLON.6","COLON.7","BREAST.4","BREAST.5","NSCLC.7","NSCLC.8","NSCLC.9","MELANOMA.2",
"BREAST.6","BREAST.7","MELANOMA.3","MELANOMA.4","MELANOMA.5","MELANOMA.6","MELANOMA.7","MELANOMA.8")
##################################
# Evaluating for optimal number of clusters
# using the silhouette method
##################################
CS_PM_PAM_OptimalKPlot_Silhouette <- fviz_nbclust(CS.Numeric,
cluster::pam,
method = "silhouette",
k.max = 5) +
labs(title = "PM_PAM : Optimal Number of Clusters",
subtitle = "Silhouette Method",
y = "Average Silhouette Width",
x = "Number of Clusters") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the elbow method
#################################
CS_PM_PAM_OptimalKPlot_Elbow <- fviz_nbclust(CS.Numeric,
cluster::pam,
method = "wss",
k.max = 5) +
labs(title = "PM_PAM : Optimal Number of Clusters",
subtitle = "Elbow Method",
y = "Total Within Sum of Squares",
x = "Number of Clusters") +
geom_vline(xintercept = 3, linetype = 2, color="steelblue") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the gap statistic method
#################################
set.seed(12345678)
CS_PM_PAM_OptimalKPlot_Gap <- fviz_nbclust(CS.Numeric,
cluster::pam,
method = "gap_stat",
k.max = 5,
nboot = 50) +
labs(title = "PM_PAM : Optimal Number of Clusters",
subtitle = "Gap Statistic Method",
y = "Gap Statistic",
x = "Number of Clusters") +
theme_classic()
##################################
# Performing partitioning around medoids
##################################
set.seed(12345678)
CS_PM_PAM <- pam(CS.Numeric, 3)
##################################
# Measuring the silhouette metric
##################################
CS_PM_PAM_Silhouette <- silhouette(CS_PM_PAM$cluster, dist(CS.Numeric))
CS_PM_PAM_SilhouettePlot <- fviz_silhouette(CS_PM_PAM_Silhouette) +
labs(title = "PM_PAM : Clusters Silhouette Plot",
subtitle = "Average Silhouette Width : 0.08894",
y = "Silhouette Width",
x = "Observation Indices") +
theme_classic() +
theme(legend.position="top")## cluster size ave.sil.width
## 1 1 18 0.06
## 2 2 13 0.07
## 3 3 9 0.17CS_PM_PAM_Silhouette_Summary <- summary(CS_PM_PAM_Silhouette)
(SI_CS_PM_PAM <- CS_PM_PAM_Silhouette_Summary$avg.width)## [1] 0.08894711##################################
# Gathering all optimal k assessment plots
##################################
grid.arrange(CS_PM_PAM_OptimalKPlot_Silhouette,
CS_PM_PAM_SilhouettePlot,
CS_PM_PAM_OptimalKPlot_Elbow,
CS_PM_PAM_OptimalKPlot_Gap,
ncol = 2)
##################################
# Formulating the cluster plot
# for partition methods
##################################
fviz_cluster(CS_PM_PAM, CS.Numeric, ellipse.type = "norm") +
labs(title = "PM_PAM : Cluster Plot") +
theme_classic() +
theme(legend.position="top")
##################################
# Performing PCA
##################################
CS_PCA <- prcomp(CS.Numeric)
##################################
# Consolidating the PCA components
##################################
rownames(CS_PCA$x) <- NULL
CS_PCA$x <- as.data.frame(CS_PCA$x)
Cancer <- EDA$Cancer
Cluster <- CS_PM_PAM$cluster
(CS_PCA_FULL <- cbind(CS_PCA$x, Cancer, Cluster))## PC1 PC2 PC3 PC4 PC5
## RENAL.1 -40.8088245 -14.8802016 16.2459556 -38.2817266 18.1630030
## BREAST.1 -51.5500146 -29.2010472 -0.5245907 -12.1207332 26.0534755
## BREAST.2 -13.7635414 -25.2137671 -5.6819200 -8.2167216 17.7958711
## NSCLC.1 -2.7640149 -22.8663818 -13.9921760 7.1696449 -14.1402050
## NSCLC.2 -8.0261033 -38.9617762 12.4668341 0.9197449 -1.8134715
## RENAL.2 -12.7372495 -25.9637086 19.1805968 -8.4279248 -3.2445344
## RENAL.3 -21.9954671 -31.0022753 15.9591389 -6.1391468 5.0465695
## RENAL.4 -3.5532030 -25.4031521 4.1969862 12.6052057 -7.5792539
## RENAL.5 -5.5173770 -28.1191530 12.0951125 -5.8165800 -7.1408449
## RENAL.6 -8.3719563 -30.9582948 12.1046523 11.9305480 -2.7731281
## RENAL.7 2.8959718 -30.7837695 5.7349344 11.5550413 -22.9080066
## RENAL.8 5.3069387 -29.6107020 8.7054161 18.3579936 -22.4206274
## BREAST.3 -5.0598254 -25.8998936 -54.4733676 17.7548313 32.0110649
## NSCLC.3 -17.9460560 -22.5915590 -12.2095525 -14.1508590 17.5997336
## RENAL.9 -7.4957997 -17.1959802 -58.6154816 27.0855829 18.5751455
## MELANOMA.1 -0.8344225 -8.2907519 -5.3795389 15.2128747 -14.4609872
## NSCLC.4 -3.4001679 -10.1847753 10.1721991 -22.3844409 -8.7377302
## NSCLC.5 12.3958164 -8.9193957 2.3597897 5.2428604 -20.4635629
## NSCLC.6 13.3276062 -0.4863236 0.7172494 3.5771746 -14.5121517
## COLON.1 26.9589559 4.2711378 -4.3513678 7.0075103 -8.6872749
## COLON.2 47.5798084 15.4914785 3.1841573 5.8903455 0.6073829
## COLON.3 41.9787114 6.5593316 0.9338801 4.9008842 -2.1785079
## COLON.4 44.5262442 2.2667709 16.0939759 29.2312602 15.9169504
## COLON.5 36.4902492 7.3146133 16.6755272 13.2383511 8.1584545
## COLON.6 50.6448684 21.4378836 23.1875409 -3.7118217 39.7015977
## COLON.7 44.0862657 -1.5644816 13.6732504 6.0656819 20.7716645
## BREAST.4 40.6519776 24.5172410 -25.5387128 -45.3738586 4.1080822
## BREAST.5 22.9713315 15.4143701 -4.1500573 -57.9832651 13.2374617
## NSCLC.7 27.4545511 -4.6446282 14.0078407 7.8443574 4.5409616
## NSCLC.8 12.6757981 3.6075173 -13.6707020 -12.1398310 -22.0718987
## NSCLC.9 16.0267350 7.2540219 -45.4669794 -28.7616875 -50.0669119
## MELANOMA.2 -16.4591771 50.0771824 -5.0036369 10.2645856 -8.1953325
## BREAST.6 -30.5924194 46.8761625 -17.2970209 18.4140507 14.2181976
## BREAST.7 -27.8580043 51.3894656 -13.9635438 15.3067843 13.1229292
## MELANOMA.3 -31.2608825 25.5338769 13.2461364 -11.1975320 3.6387321
## MELANOMA.4 -32.2158242 32.3561935 20.2693105 21.2179617 -12.1283413
## MELANOMA.5 -18.5667828 36.8335927 8.7781170 -2.8270593 -12.1850200
## MELANOMA.6 -28.3150641 23.2440163 20.8873335 -7.9899270 -8.3931369
## MELANOMA.7 -33.8196803 35.0235655 8.7515386 7.4968066 -2.5206323
## MELANOMA.8 -23.0599717 23.2735969 0.6911745 7.2330330 -6.6457172
## PC6 PC7 PC8 PC9 PC10
## RENAL.1 -28.38092369 21.9360840 -21.49289800 12.42489224 -11.45580794
## BREAST.1 -25.27229319 -27.2267499 22.01112313 11.51452613 -3.19298911
## BREAST.2 -29.88953860 -12.6913892 18.26969226 -14.47083048 29.55837428
## NSCLC.1 -19.45218485 -12.0648147 14.47134018 3.70496393 -3.72829937
## NSCLC.2 -2.26985385 -34.9803273 -8.15941746 -2.90368131 -0.06992716
## RENAL.2 25.02563649 -0.9274886 -27.48698049 -10.75262099 25.78300754
## RENAL.3 -3.06337353 0.9234828 2.79109481 -19.37829157 10.04853452
## RENAL.4 1.93151980 -2.5436281 8.50786896 -17.68055126 4.31828296
## RENAL.5 18.89411731 -3.2392609 -14.53915686 1.35078309 -1.15944253
## RENAL.6 7.02976483 -6.3282109 -2.09606603 -8.24430948 -23.31464854
## RENAL.7 27.27080813 9.6457298 -7.17570995 -6.48985822 -14.27810815
## RENAL.8 1.50429918 19.6620620 4.67557437 -30.07609407 -15.36729568
## BREAST.3 2.77045873 41.2023941 19.26531797 -8.63506102 -2.37823319
## NSCLC.3 30.86139578 45.0693093 12.05452350 20.58654604 16.85115177
## RENAL.9 18.90020279 -29.8536660 -24.72635784 30.01506309 -22.09040654
## MELANOMA.1 -12.30310119 -11.2336027 -9.60906269 5.07627230 -15.18529030
## NSCLC.4 9.73566901 -8.7066714 -0.12500047 15.00014880 24.23952762
## NSCLC.5 7.93441731 -6.6777021 -9.39165313 6.58950917 13.46592000
## NSCLC.6 8.56196542 11.3683922 -18.06519530 17.60639824 12.43302438
## COLON.1 -6.84016580 1.4447745 0.02513843 -2.75682854 1.58450902
## COLON.2 -32.67820562 6.7326857 -12.67590760 6.36460948 -2.63630658
## COLON.3 -13.21767689 2.7950410 0.97945308 -0.99743441 -2.90881911
## COLON.4 -2.65785991 2.4322102 8.96480766 3.26566456 3.69900020
## COLON.5 0.91006347 -2.1541591 10.05164740 -0.85193392 13.00799128
## COLON.6 4.89534872 -0.6777417 1.09375773 13.59007457 4.53546990
## COLON.7 -20.19369435 11.6279024 -13.90697879 0.06379269 -3.87199378
## BREAST.4 22.02405897 -11.7633377 7.51969122 -29.80631864 -12.12600464
## BREAST.5 19.95380457 -15.5090626 6.57001828 -12.24025162 -26.75442677
## NSCLC.7 12.51326434 -11.0749508 17.51374822 12.42061375 -7.45600600
## NSCLC.8 -13.70154630 -4.3464857 1.83785771 13.04958563 14.42659393
## NSCLC.9 -27.03728367 10.9233548 2.94486867 5.48524782 10.05081060
## MELANOMA.2 24.23590930 -6.5646977 5.93341514 12.79574386 16.09245861
## BREAST.6 -0.90455426 -7.7164417 -24.44023046 -25.54680407 14.15386012
## BREAST.7 -1.28602988 -6.6637144 -20.38427183 -24.10866434 13.48486070
## MELANOMA.3 -17.93583214 19.9118913 -36.53466208 2.66411947 -18.07211789
## MELANOMA.4 -7.49570716 11.4350190 20.58869491 2.38248074 -21.51176542
## MELANOMA.5 -3.32272881 -0.8177342 13.76333873 12.86893287 -12.42498255
## MELANOMA.6 15.96654936 12.7722421 10.32805983 13.20475832 -7.52284706
## MELANOMA.7 6.88371944 -17.2262780 24.70115261 5.36417620 4.34745981
## MELANOMA.8 0.09958072 11.1055405 15.94736416 -12.44936903 -4.57511893
## PC11 PC12 PC13 PC14 PC15
## RENAL.1 -18.8168144 0.4383544 10.382425 -20.23685151 -4.6010710
## BREAST.1 10.0738688 12.8829960 20.009948 6.19764786 -3.8854535
## BREAST.2 4.3695447 -7.5227353 1.476144 -26.70018056 -6.3303967
## NSCLC.1 4.1428596 -13.4388944 8.260839 8.92169343 15.0172598
## NSCLC.2 13.9552117 33.2943222 -48.722943 -8.49712147 7.2296046
## RENAL.2 -0.4334825 6.6396454 4.605529 10.80962975 -1.9370162
## RENAL.3 4.3587775 -8.5435981 10.993360 14.70941051 -9.6464027
## RENAL.4 -9.4274060 -15.1788605 7.210812 -0.03107319 -1.5514343
## RENAL.5 10.4467645 -18.2469475 -0.181811 -2.10161603 -0.9986700
## RENAL.6 12.9809511 -14.2836494 -4.199049 6.86104389 -9.6966713
## RENAL.7 20.7789594 11.8037497 10.347702 -3.04056404 0.2588320
## RENAL.8 -8.0733457 -9.8046604 7.338112 -2.89923530 -10.4512713
## BREAST.3 -9.1676234 24.4651831 -4.724110 15.16388019 -8.6775178
## NSCLC.3 17.1056592 -19.3408400 -14.682348 -10.07989009 16.4202666
## RENAL.9 -5.2578025 -8.4092562 2.443615 -4.68878521 -2.9904893
## MELANOMA.1 6.1121546 -5.9597708 11.062757 -3.18537088 16.5292222
## NSCLC.4 -14.6792530 6.6988410 -6.673776 17.12727510 -6.2134922
## NSCLC.5 -8.4530506 14.7777072 16.796744 8.83900537 7.9240847
## NSCLC.6 -21.2203210 8.2411447 18.170243 -11.20301737 14.4850830
## COLON.1 2.6638907 0.6631448 3.429936 -16.32779360 2.2268558
## COLON.2 24.2006024 -18.3947634 -1.410194 -1.93945596 4.5280082
## COLON.3 -4.4964095 8.7221868 -2.697517 -14.72479143 -4.1402033
## COLON.4 -2.9558684 7.3807056 -1.536895 -32.09656266 -2.9686419
## COLON.5 -5.6012296 5.3065718 -9.884840 -3.92625132 -1.1400039
## COLON.6 27.9727679 0.4295279 16.323474 21.37620261 16.1321809
## COLON.7 -3.1716112 -1.6146309 -9.552245 33.07799449 -18.0543083
## BREAST.4 2.2566136 27.0753291 25.573821 -9.96620079 4.7494142
## BREAST.5 -9.6691470 -26.1355923 -17.512080 -1.35475670 -3.4399884
## NSCLC.7 -43.7374523 -3.4053080 -13.438531 9.34462955 -3.6913470
## NSCLC.8 -23.1384343 -14.1900875 1.936784 2.14248203 -0.0360884
## NSCLC.9 16.8669224 6.0753951 -15.014390 13.98184396 -5.4968034
## MELANOMA.2 17.2265831 -8.7747718 2.582105 -14.44534062 -50.0848743
## BREAST.6 -2.4105471 -2.9607682 -4.815252 4.91006085 10.0184308
## BREAST.7 -3.9477204 -5.4719337 -5.985446 4.42792458 5.5675135
## MELANOMA.3 -4.6815714 10.1431936 -5.381634 -3.38166634 -5.0803943
## MELANOMA.4 -6.0768720 12.5698064 1.658638 6.06582023 -5.2243748
## MELANOMA.5 11.6469621 6.1656706 1.025565 6.33710418 -8.1620026
## MELANOMA.6 7.7556527 15.0519608 -5.904430 -4.47247291 9.3518672
## MELANOMA.7 -5.3993409 -5.6860604 8.801084 8.14923859 14.3096810
## MELANOMA.8 -4.0994429 -11.4623076 -18.112146 -3.14388917 29.7506126
## PC16 PC17 PC18 PC19 PC20
## RENAL.1 -5.662949378 8.8696591 10.7636590 -8.9843050 -0.2568009
## BREAST.1 18.857960027 -5.9345514 16.5996513 -6.3421916 -13.5194798
## BREAST.2 -15.072362756 7.9522776 -21.2526061 19.7533341 18.6685410
## NSCLC.1 9.181009767 -5.3411933 -4.1403511 -12.3897400 17.4646938
## NSCLC.2 -6.498513959 -8.5218321 -13.6872200 -3.6913270 -11.2109919
## RENAL.2 -15.907323043 4.2115467 1.9997001 -18.9375283 3.0937154
## RENAL.3 -5.846137256 -1.0021390 -5.2128520 11.8988689 -10.2074044
## RENAL.4 -6.691803619 2.8418483 4.3773496 -4.7885604 -1.3462391
## RENAL.5 -0.007016485 4.3033793 7.3978992 -1.4885321 7.1283098
## RENAL.6 20.861392917 -3.3000768 1.4409800 3.3420850 -0.4893533
## RENAL.7 17.359266948 8.4877141 3.7647429 15.7787486 4.5177008
## RENAL.8 -16.840942374 8.1188689 1.5147300 7.3569731 -10.8255481
## BREAST.3 12.684710639 13.7166479 -19.6041940 -15.0902642 5.6236444
## NSCLC.3 1.170108975 -27.6443560 13.9822213 2.8084054 -9.5609004
## RENAL.9 -25.399862065 7.2628585 3.8618902 19.3240361 -5.9771364
## MELANOMA.1 -1.868377802 -18.5275567 -6.2049813 -28.3639118 27.2557923
## NSCLC.4 18.133056260 10.2649900 5.1042998 15.3638033 -0.1955358
## NSCLC.5 5.114134153 3.4516651 -4.1979496 -7.4483942 -2.3635385
## NSCLC.6 1.584596285 0.1094674 -32.8089019 -5.7834102 -20.9953511
## COLON.1 6.103126868 -6.4199859 10.9877739 -6.0494608 -1.2852115
## COLON.2 27.907154739 10.9518394 -16.9653819 8.9886548 -21.8469609
## COLON.3 3.676459791 -0.1118281 4.5407698 -2.9962697 -5.3321513
## COLON.4 0.051563859 5.7295269 22.7001825 -3.5054393 -2.9346423
## COLON.5 -4.524643721 1.1784995 10.5716993 -8.5395999 4.6475695
## COLON.6 -20.996547772 23.0476070 0.5577855 1.2009484 10.6691302
## COLON.7 -13.508886953 -37.6883772 -4.5161224 3.5946606 -0.4505893
## BREAST.4 -0.442604463 -25.3692448 4.8017413 11.4783325 -0.4102515
## BREAST.5 1.394634847 15.4565606 -14.9202702 -17.0508084 -5.4315167
## NSCLC.7 15.770117599 6.2396392 12.7335287 3.0268453 12.9640513
## NSCLC.8 0.872850393 -18.7086585 -5.5420840 22.4894648 7.8733868
## NSCLC.9 -15.407395963 18.2175406 24.3717965 -7.1611468 -3.0351285
## MELANOMA.2 3.217855898 -7.2108317 -11.5645979 -18.5248904 4.4067783
## BREAST.6 13.432072382 3.2484689 11.6611216 6.4709425 1.7349520
## BREAST.7 10.827432333 1.4601952 7.3635415 2.3383908 1.6739053
## MELANOMA.3 3.020712942 -2.7248282 1.5876700 0.5402548 7.7460470
## MELANOMA.4 -20.657955455 -0.2459432 0.4491535 6.5466252 -8.7668730
## MELANOMA.5 -4.437368428 -0.9557561 -8.0826596 9.4194930 2.9166478
## MELANOMA.6 5.046018818 7.3758665 -9.7645090 17.6199847 23.8575430
## MELANOMA.7 -6.909945573 -1.2492458 0.2481165 -12.0278626 -26.0602046
## MELANOMA.8 -9.585599374 -1.5402623 -4.9173230 -0.1772090 0.2594007
## PC21 PC22 PC23 PC24 PC25
## RENAL.1 -8.1219384 -2.3801543 3.0790325 6.3736255 1.7427830
## BREAST.1 0.7215126 7.1277163 -17.6387968 -14.9752124 -4.7005542
## BREAST.2 3.3406108 -15.4509420 3.5723914 -14.9283409 -2.1095204
## NSCLC.1 4.2065659 23.7308508 -13.8757244 10.5920014 26.3754459
## NSCLC.2 3.9189028 0.5681244 -5.9699825 18.0221937 -0.3761069
## RENAL.2 -22.3263431 6.6849106 7.7366811 -5.2977699 -1.1984125
## RENAL.3 -3.5565476 -6.5537463 12.4515992 6.0980861 9.0640498
## RENAL.4 5.6343692 12.2505087 8.1958207 5.3404963 12.5512465
## RENAL.5 -15.4655745 -3.5281985 -2.8179072 10.4067872 5.2362113
## RENAL.6 -10.4596192 -15.4881191 -4.3265631 0.6876053 1.5697694
## RENAL.7 -5.8395443 -11.5313297 -5.7195490 -11.0560002 -8.9933186
## RENAL.8 24.9674078 10.5473884 -11.1246393 4.1557700 -10.1077242
## BREAST.3 -8.6284869 0.2913260 5.7157797 11.0315982 -7.8523564
## NSCLC.3 17.2947725 -7.4081767 0.9647080 3.3030903 5.6037903
## RENAL.9 -1.5201623 8.5760457 9.9233511 -7.6996833 4.0943606
## MELANOMA.1 16.3498667 -20.9344736 19.2563060 -0.9705273 -19.3872899
## NSCLC.4 24.6657839 16.2455963 21.1266018 -0.5275090 -15.6730338
## NSCLC.5 9.3415250 5.4671907 -3.3690174 -6.3121332 -5.7167584
## NSCLC.6 5.7319748 -12.6021784 -21.0579833 -11.3452123 13.2880523
## COLON.1 0.6130267 18.6642097 10.4765600 -5.9712671 -8.9539775
## COLON.2 -10.9003565 3.9739589 17.5886014 -0.0328078 0.1992447
## COLON.3 0.7128408 1.7036746 13.1175181 9.0650976 16.7275581
## COLON.4 -2.8625341 0.8677419 -13.3645979 1.2394907 -17.4825024
## COLON.5 0.6326389 -4.2007542 8.5923598 -10.5437977 20.8631739
## COLON.6 5.4187031 0.5027922 -12.1825950 17.3025828 -5.3917262
## COLON.7 -2.2971767 2.1539241 -6.9546962 -22.7515409 -3.9738973
## BREAST.4 -6.6866229 0.9138177 7.0471814 4.9361990 6.5890090
## BREAST.5 11.6855200 -0.3913481 -8.9530002 -7.9650281 -7.4553939
## NSCLC.7 -6.7105389 -17.1260109 0.3417719 -3.1554901 9.2348679
## NSCLC.8 -17.8316181 -0.1175261 -15.3830107 28.1839987 -19.2792220
## NSCLC.9 -4.0988363 -14.8527648 -7.3493888 -9.0834538 3.0192383
## MELANOMA.2 -3.2470754 9.2124714 -6.5703924 3.4132136 -1.0257982
## BREAST.6 9.1387592 -8.0408700 -9.2760804 0.3765344 2.5097839
## BREAST.7 7.0031336 -6.2545305 -7.5446763 2.6599035 3.3926133
## MELANOMA.3 5.3814560 9.1020142 2.6611341 5.3897348 1.3938781
## MELANOMA.4 1.9289217 -7.3293128 0.5146652 7.3253317 2.2532674
## MELANOMA.5 11.7528752 -4.5907382 7.8478776 1.3076374 8.3123198
## MELANOMA.6 -5.7619531 9.7628258 -1.6936237 -12.2066519 6.4309534
## MELANOMA.7 -11.7882412 -12.5488028 15.4478542 6.0991416 -9.7397871
## MELANOMA.8 -22.3379977 22.9828883 -0.4855703 -18.4876938 -11.0342370
## PC26 PC27 PC28 PC29 PC30
## RENAL.1 2.1026327 -19.8940420 -2.75429558 -5.8534300 -0.3143682
## BREAST.1 -7.0384185 12.9504524 -10.78191257 -10.1032115 -3.2560589
## BREAST.2 -1.1763404 -4.5466368 17.96171498 -4.7559058 2.4451659
## NSCLC.1 4.7147359 -8.2919569 15.50691093 11.6803089 1.8635974
## NSCLC.2 -4.4211664 -8.0446471 -2.53713571 -0.3841517 -6.7892244
## RENAL.2 -4.6658462 9.5878528 2.30279860 -5.4374246 -7.5225257
## RENAL.3 -4.6886985 11.0211499 -21.88322630 25.0984307 -3.1940147
## RENAL.4 7.4303607 -0.3502826 -7.13099119 5.1271850 -7.7255526
## RENAL.5 -11.5816924 17.0448958 21.21647355 -0.1886500 8.7706326
## RENAL.6 16.0062084 -13.8289271 -3.49215881 -3.3873177 21.3084337
## RENAL.7 10.3462673 -7.1157220 3.42786281 -5.6943307 -5.3163063
## RENAL.8 -4.9498670 -9.8364189 -3.90238457 -10.8107034 -9.3540090
## BREAST.3 2.9677480 4.2439599 2.53640697 0.5829024 1.4279022
## NSCLC.3 -6.1403677 1.0977840 2.86842817 -3.9138924 -2.4693453
## RENAL.9 1.7464998 0.8782478 -3.02814124 0.9493338 0.7244590
## MELANOMA.1 -6.2090284 4.5572797 -14.56963834 3.1774711 -0.4073078
## NSCLC.4 4.3008390 -7.4765416 0.93575009 6.6274326 17.1092039
## NSCLC.5 -10.3343179 6.0017701 14.96250751 -9.3231358 10.8651383
## NSCLC.6 2.2447792 -2.5523635 -7.93106844 7.9053385 2.6873129
## COLON.1 5.7570433 1.8739553 5.83506422 -7.6679446 -20.3342928
## COLON.2 -18.1913154 1.3043948 0.05464163 -1.3205485 -6.6851706
## COLON.3 12.9175753 13.1326317 -1.53768672 -17.7757180 2.6068817
## COLON.4 3.3304030 10.1798907 4.11826656 31.7687696 7.4466170
## COLON.5 14.1904541 3.3264652 -16.29605630 -14.2476081 17.0732946
## COLON.6 -1.3872065 -12.1536584 -7.22991862 -6.1563584 -0.9839112
## COLON.7 8.8728997 -3.0454937 11.45658552 3.4000561 -4.6314308
## BREAST.4 -10.3974015 -10.0631855 1.27395112 5.2633043 5.4012083
## BREAST.5 8.0833874 17.4165249 2.41272227 0.1794548 -0.7442598
## NSCLC.7 -26.3908730 -13.2113823 1.01874768 0.7740935 -17.4528621
## NSCLC.8 10.3537247 11.5452833 -11.75390075 -10.6153986 -0.2862480
## NSCLC.9 0.3156814 -3.4835761 -3.48382193 7.7206823 -1.5409177
## MELANOMA.2 -8.5289627 -13.6852935 -7.42651403 -1.2737961 0.1397490
## BREAST.6 0.5440509 0.4227033 -0.09338069 -3.0128543 -3.1441940
## BREAST.7 0.2208376 3.4800107 -0.17637738 -1.6661700 -2.6944162
## MELANOMA.3 2.4763714 -0.7636371 7.15031337 10.1125634 4.6749957
## MELANOMA.4 -14.6525677 17.0019292 10.33070240 -7.4387306 10.8720916
## MELANOMA.5 -4.0513436 4.5882474 3.13882370 2.8619400 -0.0298255
## MELANOMA.6 15.5871203 11.2713457 -7.92800429 4.9564524 -18.8798657
## MELANOMA.7 24.3737713 -13.4028702 17.88331700 4.1668869 -9.6203518
## MELANOMA.8 -14.0779774 -11.1801394 -12.45537562 -1.3253256 17.9597754
## PC31 PC32 PC33 PC34 PC35
## RENAL.1 0.7392229 0.8240341 18.3377284 -4.9693360 -14.0842734
## BREAST.1 -5.3310559 5.6192735 -7.8232664 1.0150830 4.7571443
## BREAST.2 2.3464771 -3.1078894 -4.6107417 2.7497810 5.7614019
## NSCLC.1 10.5586067 5.2638408 5.6670547 -4.4994210 6.9027466
## NSCLC.2 -0.6416232 -1.1144497 1.4874385 -0.5385799 -4.9270386
## RENAL.2 18.4657018 6.2816303 1.2411642 -5.6300513 13.8848475
## RENAL.3 -2.4889191 -10.1445704 5.1797492 -1.4066064 2.0740554
## RENAL.4 -0.9913807 -10.9460570 -0.7305702 3.8774439 -8.8105573
## RENAL.5 -31.3140950 8.1074467 -10.3289009 0.5328424 -13.7777199
## RENAL.6 7.8388647 -15.0281816 -1.8934256 9.7783495 -2.1499828
## RENAL.7 1.7917785 0.2538712 6.2339125 -15.5435647 10.9162952
## RENAL.8 -2.2645966 21.1747655 -6.0367308 3.7333508 -0.7269103
## BREAST.3 -3.3994934 1.3075061 -3.0402434 -2.9920445 -4.7277863
## NSCLC.3 8.3118214 -1.0447135 1.2547621 2.2016476 3.9067613
## RENAL.9 3.9010649 1.6700509 0.8818550 1.2754767 0.2090014
## MELANOMA.1 -3.2324218 5.4439823 1.3558165 4.0156304 0.5925067
## NSCLC.4 -7.4931789 1.7621396 0.4775051 1.9857327 2.7331805
## NSCLC.5 11.4104859 -7.3503902 13.6738275 8.1807869 -13.2761144
## NSCLC.6 -10.9315454 -5.5501490 -8.3696381 -1.4143996 2.0760668
## COLON.1 -4.6157737 -31.9581010 -13.0348274 -8.9431962 -7.8998579
## COLON.2 12.5982700 11.9254698 -0.9279571 4.1286007 -4.9221188
## COLON.3 -19.8375935 0.4513075 18.7456304 8.2548082 24.4171753
## COLON.4 6.3090603 5.6225258 7.1500232 -2.4478230 0.1984293
## COLON.5 10.9023911 13.3422544 -17.1664113 -9.2994318 -13.2575320
## COLON.6 -4.8140819 -9.1205348 -3.2107145 2.1820082 3.7940292
## COLON.7 -7.4839051 2.8298206 8.1109842 1.1667600 -4.2046214
## BREAST.4 1.8825868 5.1295454 -3.3191451 4.6649271 -3.6234702
## BREAST.5 7.5589740 -3.3446081 3.1312707 -3.0868140 2.0846453
## NSCLC.7 -0.2816572 -2.1376984 -3.6107122 1.1853505 6.8744437
## NSCLC.8 7.3584782 1.8447446 -3.1595211 -5.6049853 -0.3020799
## NSCLC.9 -1.7440254 -2.0257422 -2.2949303 5.9229999 -0.1049032
## MELANOMA.2 -2.1422900 -0.3112479 2.6521058 5.3188079 1.5592732
## BREAST.6 -0.7101322 -1.1154967 7.0541706 -2.3831608 -3.0419830
## BREAST.7 -2.0385481 1.4471411 4.0089958 0.3484982 -2.5585811
## MELANOMA.3 4.9611490 -1.1873226 -27.5224062 3.3604962 16.3576416
## MELANOMA.4 12.9181967 -13.4504395 1.1521312 8.0392110 0.7863998
## MELANOMA.5 -3.9475736 2.9827395 5.6554343 -34.3003018 -4.0424093
## MELANOMA.6 0.1451256 8.0190591 4.3864174 19.7665380 -11.2277096
## MELANOMA.7 -2.7191005 10.5705883 -5.2330746 3.7724375 1.4786129
## MELANOMA.8 -11.5752645 -2.9361451 4.4752393 -4.3978521 6.3009916
## PC36 PC37 PC38 PC39 PC40
## RENAL.1 2.641823192 5.8093584 -1.18907511 1.12077214 3.652287e-14
## BREAST.1 -1.444634896 -3.5605464 -2.85803721 0.20932831 1.525320e-14
## BREAST.2 -0.746636712 -2.2385048 0.16186651 0.02399461 -7.960039e-14
## NSCLC.1 2.284666197 12.9312900 2.18817647 0.45778842 1.354028e-14
## NSCLC.2 3.050009133 -0.1901342 -0.95261933 0.32715261 6.635317e-17
## RENAL.2 -17.317223331 2.7833530 -4.06727264 -0.35101809 3.471393e-14
## RENAL.3 11.767789238 5.9056366 17.86003253 -0.50443445 -5.407984e-14
## RENAL.4 3.802633574 -23.4966880 -27.09686042 -0.04114654 1.667676e-14
## RENAL.5 1.955167089 3.3557288 -0.83178130 -0.93333917 2.819641e-14
## RENAL.6 -21.493409795 -3.3307025 5.19960005 -0.16746945 2.819522e-15
## RENAL.7 22.401422008 2.7667389 -8.73856796 3.03745219 6.038139e-15
## RENAL.8 -7.843996875 2.7716556 9.37153100 -0.64147322 3.884913e-15
## BREAST.3 -1.096173952 -0.2946957 0.07876246 -0.49016155 1.973156e-14
## NSCLC.3 -0.230611108 -2.9776534 1.15764647 0.22288848 6.330526e-14
## RENAL.9 0.244325519 0.9982860 2.31291233 0.67593017 4.923313e-14
## MELANOMA.1 -0.114405049 3.3036504 -3.10146912 -0.09793988 1.496719e-14
## NSCLC.4 -4.144323391 11.5837889 -8.82500432 0.99877943 1.329861e-14
## NSCLC.5 9.771953072 -18.9126746 17.52370516 -0.36665725 3.019330e-14
## NSCLC.6 -6.820061583 5.5854694 -5.69808985 0.17466729 -1.651270e-13
## COLON.1 -5.126962625 12.1707871 8.48712769 0.67973902 -4.300813e-15
## COLON.2 -0.444335690 0.3385446 -5.83754476 -0.21293025 3.290293e-14
## COLON.3 -2.226541212 -4.0560325 4.42151987 -0.97133272 -1.866909e-14
## COLON.4 -5.443500627 -2.3617188 -0.81874533 -0.11917954 6.357241e-14
## COLON.5 10.903294271 5.4199815 3.91802986 -0.21458698 3.245191e-14
## COLON.6 0.199260778 -1.4514957 -0.48002348 0.41186831 2.486292e-15
## COLON.7 2.775666799 1.0179611 -4.18063938 -0.02757616 -1.983093e-14
## BREAST.4 -3.451544728 0.9708069 -3.22393746 -0.01597679 -1.675656e-14
## BREAST.5 5.243700946 1.4961966 -0.31485625 -0.77471788 2.319889e-14
## NSCLC.7 -0.001777824 -2.9551536 3.27249806 -0.15476970 1.251560e-14
## NSCLC.8 1.909964627 -2.8569881 -0.61588528 -0.55916158 6.762299e-14
## NSCLC.9 -1.709562643 -1.4958452 -0.56406809 0.14326041 -1.018942e-13
## MELANOMA.2 6.821007171 1.3895813 0.17428423 -1.36336421 2.330167e-15
## BREAST.6 -0.217116626 4.9527655 -2.75017950 -22.62075110 -7.769615e-14
## BREAST.7 -2.323587562 1.0830945 0.63420693 25.52064720 5.010879e-14
## MELANOMA.3 8.821286110 -13.9723966 5.17013951 -1.49320420 -2.169966e-14
## MELANOMA.4 3.341205451 16.6222088 -12.90971254 0.65225703 -1.731276e-14
## MELANOMA.5 -16.661986777 -13.9718102 3.15276677 -0.68821410 -8.026978e-14
## MELANOMA.6 -6.137885537 0.8910633 2.81106426 -0.76421494 -1.094957e-14
## MELANOMA.7 4.377296824 -1.9611237 5.13506540 -0.94888001 2.182716e-15
## MELANOMA.8 2.683806544 -4.0637834 2.02343378 -0.13402585 2.621731e-14
## Cancer Cluster
## RENAL.1 RENAL 1
## BREAST.1 BREAST 1
## BREAST.2 BREAST 1
## NSCLC.1 NSCLC 1
## NSCLC.2 NSCLC 1
## RENAL.2 RENAL 1
## RENAL.3 RENAL 1
## RENAL.4 RENAL 1
## RENAL.5 RENAL 1
## RENAL.6 RENAL 1
## RENAL.7 RENAL 1
## RENAL.8 RENAL 1
## BREAST.3 BREAST 1
## NSCLC.3 NSCLC 1
## RENAL.9 RENAL 1
## MELANOMA.1 MELANOMA 1
## NSCLC.4 NSCLC 1
## NSCLC.5 NSCLC 1
## NSCLC.6 NSCLC 2
## COLON.1 COLON 2
## COLON.2 COLON 2
## COLON.3 COLON 2
## COLON.4 COLON 2
## COLON.5 COLON 2
## COLON.6 COLON 2
## COLON.7 COLON 2
## BREAST.4 BREAST 2
## BREAST.5 BREAST 2
## NSCLC.7 NSCLC 2
## NSCLC.8 NSCLC 2
## NSCLC.9 NSCLC 2
## MELANOMA.2 MELANOMA 3
## BREAST.6 BREAST 3
## BREAST.7 BREAST 3
## MELANOMA.3 MELANOMA 3
## MELANOMA.4 MELANOMA 3
## MELANOMA.5 MELANOMA 3
## MELANOMA.6 MELANOMA 3
## MELANOMA.7 MELANOMA 3
## MELANOMA.8 MELANOMA 3CS_PCA_FULL$Algorithm <- rep("PM_PAM",nrow(CS_PCA_FULL))
table(CS_PCA_FULL$Cancer, CS_PCA_FULL$Cluster)##
## 1 2 3
## BREAST 3 2 2
## RENAL 9 0 0
## MELANOMA 1 0 7
## NSCLC 5 4 0
## COLON 0 7 0PM_PAM_PCA_FULL <- CS_PCA_FULL
##################################
# Plotting the best PCA components
# grouped by cluster
##################################
PM_PAM_ClusterPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cluster,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "PM_PAM BY CLUSTER")
##################################
# Plotting the best PCA components
# grouped by cancer
##################################
PM_PAM_CancerPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cancer,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "PM_PAM BY CANCER")
grid.arrange(PM_PAM_ClusterPlot,
PM_PAM_CancerPlot,
ncol = 1)
1.5.3 Partitioning Method - Fuzzy Analysis Clustering (PM_FANNY)
Fuzzy Analysis Clustering computes a fuzzy clustering of the data into k clusters. In a fuzzy clustering implementation, each observation is spread out over the various clusters represented by non-negative membership values summing up to 1. The algorithm aims to minimize the objective function which involves the number of observations, the number of clusters, membership exponent and dissimilarity indices between observations.
[A] The fuzzy analysis clustering algorithm was implemented only for descriptors using the cluster package.
[B] The optimal number of clusters was 2 to 3 as determined using the average silhouette width, total within sum of squares and gap statistic.
[C] Using a fixed number of clusters equal to 3, the average silhouette width was determined to be 0.02497.
[D] The derived clusters were not sufficiently informative after applying principal component analysis on the given analysis data.
Code Chunk | Output
##################################
# Loading dataset
##################################
CS <- EDA
CS.Numeric <- CS[,sapply(CS, is.numeric)]
row.names(CS.Numeric) <- c("RENAL.1","BREAST.1","BREAST.2","NSCLC.1","NSCLC.2","RENAL.2","RENAL.3","RENAL.4",
"RENAL.5","RENAL.6","RENAL.7","RENAL.8","BREAST.3","NSCLC.3","RENAL.9","MELANOMA.1",
"NSCLC.4","NSCLC.5","NSCLC.6","COLON.1","COLON.2","COLON.3","COLON.4","COLON.5",
"COLON.6","COLON.7","BREAST.4","BREAST.5","NSCLC.7","NSCLC.8","NSCLC.9","MELANOMA.2",
"BREAST.6","BREAST.7","MELANOMA.3","MELANOMA.4","MELANOMA.5","MELANOMA.6","MELANOMA.7","MELANOMA.8")
##################################
# Evaluating for optimal number of clusters
# using the silhouette method
##################################
CS_PM_FANNY_OptimalKPlot_Silhouette <- fviz_nbclust(CS.Numeric,
cluster::fanny,
method = "silhouette",
k.max = 5) +
labs(title = "PM_FANNY : Optimal Number of Clusters",
subtitle = "Silhouette Method",
y = "Average Silhouette Width",
x = "Number of Clusters") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the elbow method
#################################
CS_PM_FANNY_OptimalKPlot_Elbow <- fviz_nbclust(CS.Numeric,
cluster::fanny,
method = "wss",
k.max = 5) +
labs(title = "PM_FANNY : Optimal Number of Clusters",
subtitle = "Elbow Method",
y = "Total Within Sum of Squares",
x = "Number of Clusters") +
geom_vline(xintercept = 3, linetype = 2, color="steelblue") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the gap statistic method
#################################
set.seed(12345678)
CS_PM_FANNY_OptimalKPlot_Gap <- fviz_nbclust(CS.Numeric,
cluster::fanny,
method = "gap_stat",
k.max = 5,
nboot = 50) +
labs(title = "PM_FANNY : Optimal Number of Clusters",
subtitle = "Gap Statistic Method",
y = "Gap Statistic",
x = "Number of Clusters") +
theme_classic()
##################################
# Performing fuzzy analysis clustering
##################################
set.seed(12345678)
CS_PM_FANNY <- fanny(CS.Numeric, 3)
##################################
# Measuring the silhouette metric
##################################
CS_PM_FANNY_Silhouette <- silhouette(CS_PM_FANNY$cluster, dist(CS.Numeric))
CS_PM_FANNY_SilhouettePlot <- fviz_silhouette(CS_PM_FANNY_Silhouette) +
labs(title = "PM_FANNY : Clusters Silhouette Plot",
subtitle = "Average Silhouette Width : 0.02497",
y = "Silhouette Width",
x = "Observation Indices") +
theme_classic() +
theme(legend.position="top")## cluster size ave.sil.width
## 1 1 19 0.00
## 2 2 11 0.07
## 3 3 10 0.02CS_PM_FANNY_Silhouette_Summary <- summary(CS_PM_FANNY_Silhouette)
(SI_CS_PM_FANNY <- CS_PM_FANNY_Silhouette_Summary$avg.width)## [1] 0.02497808##################################
# Gathering all optimal k assessment plots
##################################
grid.arrange(CS_PM_FANNY_OptimalKPlot_Silhouette,
CS_PM_FANNY_SilhouettePlot,
CS_PM_FANNY_OptimalKPlot_Elbow,
CS_PM_FANNY_OptimalKPlot_Gap,
ncol = 2)
##################################
# Formulating the cluster plot
# for partition methods
##################################
fviz_cluster(CS_PM_FANNY, CS.Numeric, ellipse.type = "norm") +
labs(title = "PM_FANNY : Cluster Plot") +
theme_classic() +
theme(legend.position="top")
##################################
# Performing PCA
##################################
CS_PCA <- prcomp(CS.Numeric)
##################################
# Consolidating the PCA components
##################################
rownames(CS_PCA$x) <- NULL
CS_PCA$x <- as.data.frame(CS_PCA$x)
Cancer <- EDA$Cancer
Cluster <- CS_PM_FANNY$cluster
(CS_PCA_FULL <- cbind(CS_PCA$x, Cancer, Cluster))## PC1 PC2 PC3 PC4 PC5
## RENAL.1 -40.8088245 -14.8802016 16.2459556 -38.2817266 18.1630030
## BREAST.1 -51.5500146 -29.2010472 -0.5245907 -12.1207332 26.0534755
## BREAST.2 -13.7635414 -25.2137671 -5.6819200 -8.2167216 17.7958711
## NSCLC.1 -2.7640149 -22.8663818 -13.9921760 7.1696449 -14.1402050
## NSCLC.2 -8.0261033 -38.9617762 12.4668341 0.9197449 -1.8134715
## RENAL.2 -12.7372495 -25.9637086 19.1805968 -8.4279248 -3.2445344
## RENAL.3 -21.9954671 -31.0022753 15.9591389 -6.1391468 5.0465695
## RENAL.4 -3.5532030 -25.4031521 4.1969862 12.6052057 -7.5792539
## RENAL.5 -5.5173770 -28.1191530 12.0951125 -5.8165800 -7.1408449
## RENAL.6 -8.3719563 -30.9582948 12.1046523 11.9305480 -2.7731281
## RENAL.7 2.8959718 -30.7837695 5.7349344 11.5550413 -22.9080066
## RENAL.8 5.3069387 -29.6107020 8.7054161 18.3579936 -22.4206274
## BREAST.3 -5.0598254 -25.8998936 -54.4733676 17.7548313 32.0110649
## NSCLC.3 -17.9460560 -22.5915590 -12.2095525 -14.1508590 17.5997336
## RENAL.9 -7.4957997 -17.1959802 -58.6154816 27.0855829 18.5751455
## MELANOMA.1 -0.8344225 -8.2907519 -5.3795389 15.2128747 -14.4609872
## NSCLC.4 -3.4001679 -10.1847753 10.1721991 -22.3844409 -8.7377302
## NSCLC.5 12.3958164 -8.9193957 2.3597897 5.2428604 -20.4635629
## NSCLC.6 13.3276062 -0.4863236 0.7172494 3.5771746 -14.5121517
## COLON.1 26.9589559 4.2711378 -4.3513678 7.0075103 -8.6872749
## COLON.2 47.5798084 15.4914785 3.1841573 5.8903455 0.6073829
## COLON.3 41.9787114 6.5593316 0.9338801 4.9008842 -2.1785079
## COLON.4 44.5262442 2.2667709 16.0939759 29.2312602 15.9169504
## COLON.5 36.4902492 7.3146133 16.6755272 13.2383511 8.1584545
## COLON.6 50.6448684 21.4378836 23.1875409 -3.7118217 39.7015977
## COLON.7 44.0862657 -1.5644816 13.6732504 6.0656819 20.7716645
## BREAST.4 40.6519776 24.5172410 -25.5387128 -45.3738586 4.1080822
## BREAST.5 22.9713315 15.4143701 -4.1500573 -57.9832651 13.2374617
## NSCLC.7 27.4545511 -4.6446282 14.0078407 7.8443574 4.5409616
## NSCLC.8 12.6757981 3.6075173 -13.6707020 -12.1398310 -22.0718987
## NSCLC.9 16.0267350 7.2540219 -45.4669794 -28.7616875 -50.0669119
## MELANOMA.2 -16.4591771 50.0771824 -5.0036369 10.2645856 -8.1953325
## BREAST.6 -30.5924194 46.8761625 -17.2970209 18.4140507 14.2181976
## BREAST.7 -27.8580043 51.3894656 -13.9635438 15.3067843 13.1229292
## MELANOMA.3 -31.2608825 25.5338769 13.2461364 -11.1975320 3.6387321
## MELANOMA.4 -32.2158242 32.3561935 20.2693105 21.2179617 -12.1283413
## MELANOMA.5 -18.5667828 36.8335927 8.7781170 -2.8270593 -12.1850200
## MELANOMA.6 -28.3150641 23.2440163 20.8873335 -7.9899270 -8.3931369
## MELANOMA.7 -33.8196803 35.0235655 8.7515386 7.4968066 -2.5206323
## MELANOMA.8 -23.0599717 23.2735969 0.6911745 7.2330330 -6.6457172
## PC6 PC7 PC8 PC9 PC10
## RENAL.1 -28.38092369 21.9360840 -21.49289800 12.42489224 -11.45580794
## BREAST.1 -25.27229319 -27.2267499 22.01112313 11.51452613 -3.19298911
## BREAST.2 -29.88953860 -12.6913892 18.26969226 -14.47083048 29.55837428
## NSCLC.1 -19.45218485 -12.0648147 14.47134018 3.70496393 -3.72829937
## NSCLC.2 -2.26985385 -34.9803273 -8.15941746 -2.90368131 -0.06992716
## RENAL.2 25.02563649 -0.9274886 -27.48698049 -10.75262099 25.78300754
## RENAL.3 -3.06337353 0.9234828 2.79109481 -19.37829157 10.04853452
## RENAL.4 1.93151980 -2.5436281 8.50786896 -17.68055126 4.31828296
## RENAL.5 18.89411731 -3.2392609 -14.53915686 1.35078309 -1.15944253
## RENAL.6 7.02976483 -6.3282109 -2.09606603 -8.24430948 -23.31464854
## RENAL.7 27.27080813 9.6457298 -7.17570995 -6.48985822 -14.27810815
## RENAL.8 1.50429918 19.6620620 4.67557437 -30.07609407 -15.36729568
## BREAST.3 2.77045873 41.2023941 19.26531797 -8.63506102 -2.37823319
## NSCLC.3 30.86139578 45.0693093 12.05452350 20.58654604 16.85115177
## RENAL.9 18.90020279 -29.8536660 -24.72635784 30.01506309 -22.09040654
## MELANOMA.1 -12.30310119 -11.2336027 -9.60906269 5.07627230 -15.18529030
## NSCLC.4 9.73566901 -8.7066714 -0.12500047 15.00014880 24.23952762
## NSCLC.5 7.93441731 -6.6777021 -9.39165313 6.58950917 13.46592000
## NSCLC.6 8.56196542 11.3683922 -18.06519530 17.60639824 12.43302438
## COLON.1 -6.84016580 1.4447745 0.02513843 -2.75682854 1.58450902
## COLON.2 -32.67820562 6.7326857 -12.67590760 6.36460948 -2.63630658
## COLON.3 -13.21767689 2.7950410 0.97945308 -0.99743441 -2.90881911
## COLON.4 -2.65785991 2.4322102 8.96480766 3.26566456 3.69900020
## COLON.5 0.91006347 -2.1541591 10.05164740 -0.85193392 13.00799128
## COLON.6 4.89534872 -0.6777417 1.09375773 13.59007457 4.53546990
## COLON.7 -20.19369435 11.6279024 -13.90697879 0.06379269 -3.87199378
## BREAST.4 22.02405897 -11.7633377 7.51969122 -29.80631864 -12.12600464
## BREAST.5 19.95380457 -15.5090626 6.57001828 -12.24025162 -26.75442677
## NSCLC.7 12.51326434 -11.0749508 17.51374822 12.42061375 -7.45600600
## NSCLC.8 -13.70154630 -4.3464857 1.83785771 13.04958563 14.42659393
## NSCLC.9 -27.03728367 10.9233548 2.94486867 5.48524782 10.05081060
## MELANOMA.2 24.23590930 -6.5646977 5.93341514 12.79574386 16.09245861
## BREAST.6 -0.90455426 -7.7164417 -24.44023046 -25.54680407 14.15386012
## BREAST.7 -1.28602988 -6.6637144 -20.38427183 -24.10866434 13.48486070
## MELANOMA.3 -17.93583214 19.9118913 -36.53466208 2.66411947 -18.07211789
## MELANOMA.4 -7.49570716 11.4350190 20.58869491 2.38248074 -21.51176542
## MELANOMA.5 -3.32272881 -0.8177342 13.76333873 12.86893287 -12.42498255
## MELANOMA.6 15.96654936 12.7722421 10.32805983 13.20475832 -7.52284706
## MELANOMA.7 6.88371944 -17.2262780 24.70115261 5.36417620 4.34745981
## MELANOMA.8 0.09958072 11.1055405 15.94736416 -12.44936903 -4.57511893
## PC11 PC12 PC13 PC14 PC15
## RENAL.1 -18.8168144 0.4383544 10.382425 -20.23685151 -4.6010710
## BREAST.1 10.0738688 12.8829960 20.009948 6.19764786 -3.8854535
## BREAST.2 4.3695447 -7.5227353 1.476144 -26.70018056 -6.3303967
## NSCLC.1 4.1428596 -13.4388944 8.260839 8.92169343 15.0172598
## NSCLC.2 13.9552117 33.2943222 -48.722943 -8.49712147 7.2296046
## RENAL.2 -0.4334825 6.6396454 4.605529 10.80962975 -1.9370162
## RENAL.3 4.3587775 -8.5435981 10.993360 14.70941051 -9.6464027
## RENAL.4 -9.4274060 -15.1788605 7.210812 -0.03107319 -1.5514343
## RENAL.5 10.4467645 -18.2469475 -0.181811 -2.10161603 -0.9986700
## RENAL.6 12.9809511 -14.2836494 -4.199049 6.86104389 -9.6966713
## RENAL.7 20.7789594 11.8037497 10.347702 -3.04056404 0.2588320
## RENAL.8 -8.0733457 -9.8046604 7.338112 -2.89923530 -10.4512713
## BREAST.3 -9.1676234 24.4651831 -4.724110 15.16388019 -8.6775178
## NSCLC.3 17.1056592 -19.3408400 -14.682348 -10.07989009 16.4202666
## RENAL.9 -5.2578025 -8.4092562 2.443615 -4.68878521 -2.9904893
## MELANOMA.1 6.1121546 -5.9597708 11.062757 -3.18537088 16.5292222
## NSCLC.4 -14.6792530 6.6988410 -6.673776 17.12727510 -6.2134922
## NSCLC.5 -8.4530506 14.7777072 16.796744 8.83900537 7.9240847
## NSCLC.6 -21.2203210 8.2411447 18.170243 -11.20301737 14.4850830
## COLON.1 2.6638907 0.6631448 3.429936 -16.32779360 2.2268558
## COLON.2 24.2006024 -18.3947634 -1.410194 -1.93945596 4.5280082
## COLON.3 -4.4964095 8.7221868 -2.697517 -14.72479143 -4.1402033
## COLON.4 -2.9558684 7.3807056 -1.536895 -32.09656266 -2.9686419
## COLON.5 -5.6012296 5.3065718 -9.884840 -3.92625132 -1.1400039
## COLON.6 27.9727679 0.4295279 16.323474 21.37620261 16.1321809
## COLON.7 -3.1716112 -1.6146309 -9.552245 33.07799449 -18.0543083
## BREAST.4 2.2566136 27.0753291 25.573821 -9.96620079 4.7494142
## BREAST.5 -9.6691470 -26.1355923 -17.512080 -1.35475670 -3.4399884
## NSCLC.7 -43.7374523 -3.4053080 -13.438531 9.34462955 -3.6913470
## NSCLC.8 -23.1384343 -14.1900875 1.936784 2.14248203 -0.0360884
## NSCLC.9 16.8669224 6.0753951 -15.014390 13.98184396 -5.4968034
## MELANOMA.2 17.2265831 -8.7747718 2.582105 -14.44534062 -50.0848743
## BREAST.6 -2.4105471 -2.9607682 -4.815252 4.91006085 10.0184308
## BREAST.7 -3.9477204 -5.4719337 -5.985446 4.42792458 5.5675135
## MELANOMA.3 -4.6815714 10.1431936 -5.381634 -3.38166634 -5.0803943
## MELANOMA.4 -6.0768720 12.5698064 1.658638 6.06582023 -5.2243748
## MELANOMA.5 11.6469621 6.1656706 1.025565 6.33710418 -8.1620026
## MELANOMA.6 7.7556527 15.0519608 -5.904430 -4.47247291 9.3518672
## MELANOMA.7 -5.3993409 -5.6860604 8.801084 8.14923859 14.3096810
## MELANOMA.8 -4.0994429 -11.4623076 -18.112146 -3.14388917 29.7506126
## PC16 PC17 PC18 PC19 PC20
## RENAL.1 -5.662949378 8.8696591 10.7636590 -8.9843050 -0.2568009
## BREAST.1 18.857960027 -5.9345514 16.5996513 -6.3421916 -13.5194798
## BREAST.2 -15.072362756 7.9522776 -21.2526061 19.7533341 18.6685410
## NSCLC.1 9.181009767 -5.3411933 -4.1403511 -12.3897400 17.4646938
## NSCLC.2 -6.498513959 -8.5218321 -13.6872200 -3.6913270 -11.2109919
## RENAL.2 -15.907323043 4.2115467 1.9997001 -18.9375283 3.0937154
## RENAL.3 -5.846137256 -1.0021390 -5.2128520 11.8988689 -10.2074044
## RENAL.4 -6.691803619 2.8418483 4.3773496 -4.7885604 -1.3462391
## RENAL.5 -0.007016485 4.3033793 7.3978992 -1.4885321 7.1283098
## RENAL.6 20.861392917 -3.3000768 1.4409800 3.3420850 -0.4893533
## RENAL.7 17.359266948 8.4877141 3.7647429 15.7787486 4.5177008
## RENAL.8 -16.840942374 8.1188689 1.5147300 7.3569731 -10.8255481
## BREAST.3 12.684710639 13.7166479 -19.6041940 -15.0902642 5.6236444
## NSCLC.3 1.170108975 -27.6443560 13.9822213 2.8084054 -9.5609004
## RENAL.9 -25.399862065 7.2628585 3.8618902 19.3240361 -5.9771364
## MELANOMA.1 -1.868377802 -18.5275567 -6.2049813 -28.3639118 27.2557923
## NSCLC.4 18.133056260 10.2649900 5.1042998 15.3638033 -0.1955358
## NSCLC.5 5.114134153 3.4516651 -4.1979496 -7.4483942 -2.3635385
## NSCLC.6 1.584596285 0.1094674 -32.8089019 -5.7834102 -20.9953511
## COLON.1 6.103126868 -6.4199859 10.9877739 -6.0494608 -1.2852115
## COLON.2 27.907154739 10.9518394 -16.9653819 8.9886548 -21.8469609
## COLON.3 3.676459791 -0.1118281 4.5407698 -2.9962697 -5.3321513
## COLON.4 0.051563859 5.7295269 22.7001825 -3.5054393 -2.9346423
## COLON.5 -4.524643721 1.1784995 10.5716993 -8.5395999 4.6475695
## COLON.6 -20.996547772 23.0476070 0.5577855 1.2009484 10.6691302
## COLON.7 -13.508886953 -37.6883772 -4.5161224 3.5946606 -0.4505893
## BREAST.4 -0.442604463 -25.3692448 4.8017413 11.4783325 -0.4102515
## BREAST.5 1.394634847 15.4565606 -14.9202702 -17.0508084 -5.4315167
## NSCLC.7 15.770117599 6.2396392 12.7335287 3.0268453 12.9640513
## NSCLC.8 0.872850393 -18.7086585 -5.5420840 22.4894648 7.8733868
## NSCLC.9 -15.407395963 18.2175406 24.3717965 -7.1611468 -3.0351285
## MELANOMA.2 3.217855898 -7.2108317 -11.5645979 -18.5248904 4.4067783
## BREAST.6 13.432072382 3.2484689 11.6611216 6.4709425 1.7349520
## BREAST.7 10.827432333 1.4601952 7.3635415 2.3383908 1.6739053
## MELANOMA.3 3.020712942 -2.7248282 1.5876700 0.5402548 7.7460470
## MELANOMA.4 -20.657955455 -0.2459432 0.4491535 6.5466252 -8.7668730
## MELANOMA.5 -4.437368428 -0.9557561 -8.0826596 9.4194930 2.9166478
## MELANOMA.6 5.046018818 7.3758665 -9.7645090 17.6199847 23.8575430
## MELANOMA.7 -6.909945573 -1.2492458 0.2481165 -12.0278626 -26.0602046
## MELANOMA.8 -9.585599374 -1.5402623 -4.9173230 -0.1772090 0.2594007
## PC21 PC22 PC23 PC24 PC25
## RENAL.1 -8.1219384 -2.3801543 3.0790325 6.3736255 1.7427830
## BREAST.1 0.7215126 7.1277163 -17.6387968 -14.9752124 -4.7005542
## BREAST.2 3.3406108 -15.4509420 3.5723914 -14.9283409 -2.1095204
## NSCLC.1 4.2065659 23.7308508 -13.8757244 10.5920014 26.3754459
## NSCLC.2 3.9189028 0.5681244 -5.9699825 18.0221937 -0.3761069
## RENAL.2 -22.3263431 6.6849106 7.7366811 -5.2977699 -1.1984125
## RENAL.3 -3.5565476 -6.5537463 12.4515992 6.0980861 9.0640498
## RENAL.4 5.6343692 12.2505087 8.1958207 5.3404963 12.5512465
## RENAL.5 -15.4655745 -3.5281985 -2.8179072 10.4067872 5.2362113
## RENAL.6 -10.4596192 -15.4881191 -4.3265631 0.6876053 1.5697694
## RENAL.7 -5.8395443 -11.5313297 -5.7195490 -11.0560002 -8.9933186
## RENAL.8 24.9674078 10.5473884 -11.1246393 4.1557700 -10.1077242
## BREAST.3 -8.6284869 0.2913260 5.7157797 11.0315982 -7.8523564
## NSCLC.3 17.2947725 -7.4081767 0.9647080 3.3030903 5.6037903
## RENAL.9 -1.5201623 8.5760457 9.9233511 -7.6996833 4.0943606
## MELANOMA.1 16.3498667 -20.9344736 19.2563060 -0.9705273 -19.3872899
## NSCLC.4 24.6657839 16.2455963 21.1266018 -0.5275090 -15.6730338
## NSCLC.5 9.3415250 5.4671907 -3.3690174 -6.3121332 -5.7167584
## NSCLC.6 5.7319748 -12.6021784 -21.0579833 -11.3452123 13.2880523
## COLON.1 0.6130267 18.6642097 10.4765600 -5.9712671 -8.9539775
## COLON.2 -10.9003565 3.9739589 17.5886014 -0.0328078 0.1992447
## COLON.3 0.7128408 1.7036746 13.1175181 9.0650976 16.7275581
## COLON.4 -2.8625341 0.8677419 -13.3645979 1.2394907 -17.4825024
## COLON.5 0.6326389 -4.2007542 8.5923598 -10.5437977 20.8631739
## COLON.6 5.4187031 0.5027922 -12.1825950 17.3025828 -5.3917262
## COLON.7 -2.2971767 2.1539241 -6.9546962 -22.7515409 -3.9738973
## BREAST.4 -6.6866229 0.9138177 7.0471814 4.9361990 6.5890090
## BREAST.5 11.6855200 -0.3913481 -8.9530002 -7.9650281 -7.4553939
## NSCLC.7 -6.7105389 -17.1260109 0.3417719 -3.1554901 9.2348679
## NSCLC.8 -17.8316181 -0.1175261 -15.3830107 28.1839987 -19.2792220
## NSCLC.9 -4.0988363 -14.8527648 -7.3493888 -9.0834538 3.0192383
## MELANOMA.2 -3.2470754 9.2124714 -6.5703924 3.4132136 -1.0257982
## BREAST.6 9.1387592 -8.0408700 -9.2760804 0.3765344 2.5097839
## BREAST.7 7.0031336 -6.2545305 -7.5446763 2.6599035 3.3926133
## MELANOMA.3 5.3814560 9.1020142 2.6611341 5.3897348 1.3938781
## MELANOMA.4 1.9289217 -7.3293128 0.5146652 7.3253317 2.2532674
## MELANOMA.5 11.7528752 -4.5907382 7.8478776 1.3076374 8.3123198
## MELANOMA.6 -5.7619531 9.7628258 -1.6936237 -12.2066519 6.4309534
## MELANOMA.7 -11.7882412 -12.5488028 15.4478542 6.0991416 -9.7397871
## MELANOMA.8 -22.3379977 22.9828883 -0.4855703 -18.4876938 -11.0342370
## PC26 PC27 PC28 PC29 PC30
## RENAL.1 2.1026327 -19.8940420 -2.75429558 -5.8534300 -0.3143682
## BREAST.1 -7.0384185 12.9504524 -10.78191257 -10.1032115 -3.2560589
## BREAST.2 -1.1763404 -4.5466368 17.96171498 -4.7559058 2.4451659
## NSCLC.1 4.7147359 -8.2919569 15.50691093 11.6803089 1.8635974
## NSCLC.2 -4.4211664 -8.0446471 -2.53713571 -0.3841517 -6.7892244
## RENAL.2 -4.6658462 9.5878528 2.30279860 -5.4374246 -7.5225257
## RENAL.3 -4.6886985 11.0211499 -21.88322630 25.0984307 -3.1940147
## RENAL.4 7.4303607 -0.3502826 -7.13099119 5.1271850 -7.7255526
## RENAL.5 -11.5816924 17.0448958 21.21647355 -0.1886500 8.7706326
## RENAL.6 16.0062084 -13.8289271 -3.49215881 -3.3873177 21.3084337
## RENAL.7 10.3462673 -7.1157220 3.42786281 -5.6943307 -5.3163063
## RENAL.8 -4.9498670 -9.8364189 -3.90238457 -10.8107034 -9.3540090
## BREAST.3 2.9677480 4.2439599 2.53640697 0.5829024 1.4279022
## NSCLC.3 -6.1403677 1.0977840 2.86842817 -3.9138924 -2.4693453
## RENAL.9 1.7464998 0.8782478 -3.02814124 0.9493338 0.7244590
## MELANOMA.1 -6.2090284 4.5572797 -14.56963834 3.1774711 -0.4073078
## NSCLC.4 4.3008390 -7.4765416 0.93575009 6.6274326 17.1092039
## NSCLC.5 -10.3343179 6.0017701 14.96250751 -9.3231358 10.8651383
## NSCLC.6 2.2447792 -2.5523635 -7.93106844 7.9053385 2.6873129
## COLON.1 5.7570433 1.8739553 5.83506422 -7.6679446 -20.3342928
## COLON.2 -18.1913154 1.3043948 0.05464163 -1.3205485 -6.6851706
## COLON.3 12.9175753 13.1326317 -1.53768672 -17.7757180 2.6068817
## COLON.4 3.3304030 10.1798907 4.11826656 31.7687696 7.4466170
## COLON.5 14.1904541 3.3264652 -16.29605630 -14.2476081 17.0732946
## COLON.6 -1.3872065 -12.1536584 -7.22991862 -6.1563584 -0.9839112
## COLON.7 8.8728997 -3.0454937 11.45658552 3.4000561 -4.6314308
## BREAST.4 -10.3974015 -10.0631855 1.27395112 5.2633043 5.4012083
## BREAST.5 8.0833874 17.4165249 2.41272227 0.1794548 -0.7442598
## NSCLC.7 -26.3908730 -13.2113823 1.01874768 0.7740935 -17.4528621
## NSCLC.8 10.3537247 11.5452833 -11.75390075 -10.6153986 -0.2862480
## NSCLC.9 0.3156814 -3.4835761 -3.48382193 7.7206823 -1.5409177
## MELANOMA.2 -8.5289627 -13.6852935 -7.42651403 -1.2737961 0.1397490
## BREAST.6 0.5440509 0.4227033 -0.09338069 -3.0128543 -3.1441940
## BREAST.7 0.2208376 3.4800107 -0.17637738 -1.6661700 -2.6944162
## MELANOMA.3 2.4763714 -0.7636371 7.15031337 10.1125634 4.6749957
## MELANOMA.4 -14.6525677 17.0019292 10.33070240 -7.4387306 10.8720916
## MELANOMA.5 -4.0513436 4.5882474 3.13882370 2.8619400 -0.0298255
## MELANOMA.6 15.5871203 11.2713457 -7.92800429 4.9564524 -18.8798657
## MELANOMA.7 24.3737713 -13.4028702 17.88331700 4.1668869 -9.6203518
## MELANOMA.8 -14.0779774 -11.1801394 -12.45537562 -1.3253256 17.9597754
## PC31 PC32 PC33 PC34 PC35
## RENAL.1 0.7392229 0.8240341 18.3377284 -4.9693360 -14.0842734
## BREAST.1 -5.3310559 5.6192735 -7.8232664 1.0150830 4.7571443
## BREAST.2 2.3464771 -3.1078894 -4.6107417 2.7497810 5.7614019
## NSCLC.1 10.5586067 5.2638408 5.6670547 -4.4994210 6.9027466
## NSCLC.2 -0.6416232 -1.1144497 1.4874385 -0.5385799 -4.9270386
## RENAL.2 18.4657018 6.2816303 1.2411642 -5.6300513 13.8848475
## RENAL.3 -2.4889191 -10.1445704 5.1797492 -1.4066064 2.0740554
## RENAL.4 -0.9913807 -10.9460570 -0.7305702 3.8774439 -8.8105573
## RENAL.5 -31.3140950 8.1074467 -10.3289009 0.5328424 -13.7777199
## RENAL.6 7.8388647 -15.0281816 -1.8934256 9.7783495 -2.1499828
## RENAL.7 1.7917785 0.2538712 6.2339125 -15.5435647 10.9162952
## RENAL.8 -2.2645966 21.1747655 -6.0367308 3.7333508 -0.7269103
## BREAST.3 -3.3994934 1.3075061 -3.0402434 -2.9920445 -4.7277863
## NSCLC.3 8.3118214 -1.0447135 1.2547621 2.2016476 3.9067613
## RENAL.9 3.9010649 1.6700509 0.8818550 1.2754767 0.2090014
## MELANOMA.1 -3.2324218 5.4439823 1.3558165 4.0156304 0.5925067
## NSCLC.4 -7.4931789 1.7621396 0.4775051 1.9857327 2.7331805
## NSCLC.5 11.4104859 -7.3503902 13.6738275 8.1807869 -13.2761144
## NSCLC.6 -10.9315454 -5.5501490 -8.3696381 -1.4143996 2.0760668
## COLON.1 -4.6157737 -31.9581010 -13.0348274 -8.9431962 -7.8998579
## COLON.2 12.5982700 11.9254698 -0.9279571 4.1286007 -4.9221188
## COLON.3 -19.8375935 0.4513075 18.7456304 8.2548082 24.4171753
## COLON.4 6.3090603 5.6225258 7.1500232 -2.4478230 0.1984293
## COLON.5 10.9023911 13.3422544 -17.1664113 -9.2994318 -13.2575320
## COLON.6 -4.8140819 -9.1205348 -3.2107145 2.1820082 3.7940292
## COLON.7 -7.4839051 2.8298206 8.1109842 1.1667600 -4.2046214
## BREAST.4 1.8825868 5.1295454 -3.3191451 4.6649271 -3.6234702
## BREAST.5 7.5589740 -3.3446081 3.1312707 -3.0868140 2.0846453
## NSCLC.7 -0.2816572 -2.1376984 -3.6107122 1.1853505 6.8744437
## NSCLC.8 7.3584782 1.8447446 -3.1595211 -5.6049853 -0.3020799
## NSCLC.9 -1.7440254 -2.0257422 -2.2949303 5.9229999 -0.1049032
## MELANOMA.2 -2.1422900 -0.3112479 2.6521058 5.3188079 1.5592732
## BREAST.6 -0.7101322 -1.1154967 7.0541706 -2.3831608 -3.0419830
## BREAST.7 -2.0385481 1.4471411 4.0089958 0.3484982 -2.5585811
## MELANOMA.3 4.9611490 -1.1873226 -27.5224062 3.3604962 16.3576416
## MELANOMA.4 12.9181967 -13.4504395 1.1521312 8.0392110 0.7863998
## MELANOMA.5 -3.9475736 2.9827395 5.6554343 -34.3003018 -4.0424093
## MELANOMA.6 0.1451256 8.0190591 4.3864174 19.7665380 -11.2277096
## MELANOMA.7 -2.7191005 10.5705883 -5.2330746 3.7724375 1.4786129
## MELANOMA.8 -11.5752645 -2.9361451 4.4752393 -4.3978521 6.3009916
## PC36 PC37 PC38 PC39 PC40
## RENAL.1 2.641823192 5.8093584 -1.18907511 1.12077214 3.652287e-14
## BREAST.1 -1.444634896 -3.5605464 -2.85803721 0.20932831 1.525320e-14
## BREAST.2 -0.746636712 -2.2385048 0.16186651 0.02399461 -7.960039e-14
## NSCLC.1 2.284666197 12.9312900 2.18817647 0.45778842 1.354028e-14
## NSCLC.2 3.050009133 -0.1901342 -0.95261933 0.32715261 6.635317e-17
## RENAL.2 -17.317223331 2.7833530 -4.06727264 -0.35101809 3.471393e-14
## RENAL.3 11.767789238 5.9056366 17.86003253 -0.50443445 -5.407984e-14
## RENAL.4 3.802633574 -23.4966880 -27.09686042 -0.04114654 1.667676e-14
## RENAL.5 1.955167089 3.3557288 -0.83178130 -0.93333917 2.819641e-14
## RENAL.6 -21.493409795 -3.3307025 5.19960005 -0.16746945 2.819522e-15
## RENAL.7 22.401422008 2.7667389 -8.73856796 3.03745219 6.038139e-15
## RENAL.8 -7.843996875 2.7716556 9.37153100 -0.64147322 3.884913e-15
## BREAST.3 -1.096173952 -0.2946957 0.07876246 -0.49016155 1.973156e-14
## NSCLC.3 -0.230611108 -2.9776534 1.15764647 0.22288848 6.330526e-14
## RENAL.9 0.244325519 0.9982860 2.31291233 0.67593017 4.923313e-14
## MELANOMA.1 -0.114405049 3.3036504 -3.10146912 -0.09793988 1.496719e-14
## NSCLC.4 -4.144323391 11.5837889 -8.82500432 0.99877943 1.329861e-14
## NSCLC.5 9.771953072 -18.9126746 17.52370516 -0.36665725 3.019330e-14
## NSCLC.6 -6.820061583 5.5854694 -5.69808985 0.17466729 -1.651270e-13
## COLON.1 -5.126962625 12.1707871 8.48712769 0.67973902 -4.300813e-15
## COLON.2 -0.444335690 0.3385446 -5.83754476 -0.21293025 3.290293e-14
## COLON.3 -2.226541212 -4.0560325 4.42151987 -0.97133272 -1.866909e-14
## COLON.4 -5.443500627 -2.3617188 -0.81874533 -0.11917954 6.357241e-14
## COLON.5 10.903294271 5.4199815 3.91802986 -0.21458698 3.245191e-14
## COLON.6 0.199260778 -1.4514957 -0.48002348 0.41186831 2.486292e-15
## COLON.7 2.775666799 1.0179611 -4.18063938 -0.02757616 -1.983093e-14
## BREAST.4 -3.451544728 0.9708069 -3.22393746 -0.01597679 -1.675656e-14
## BREAST.5 5.243700946 1.4961966 -0.31485625 -0.77471788 2.319889e-14
## NSCLC.7 -0.001777824 -2.9551536 3.27249806 -0.15476970 1.251560e-14
## NSCLC.8 1.909964627 -2.8569881 -0.61588528 -0.55916158 6.762299e-14
## NSCLC.9 -1.709562643 -1.4958452 -0.56406809 0.14326041 -1.018942e-13
## MELANOMA.2 6.821007171 1.3895813 0.17428423 -1.36336421 2.330167e-15
## BREAST.6 -0.217116626 4.9527655 -2.75017950 -22.62075110 -7.769615e-14
## BREAST.7 -2.323587562 1.0830945 0.63420693 25.52064720 5.010879e-14
## MELANOMA.3 8.821286110 -13.9723966 5.17013951 -1.49320420 -2.169966e-14
## MELANOMA.4 3.341205451 16.6222088 -12.90971254 0.65225703 -1.731276e-14
## MELANOMA.5 -16.661986777 -13.9718102 3.15276677 -0.68821410 -8.026978e-14
## MELANOMA.6 -6.137885537 0.8910633 2.81106426 -0.76421494 -1.094957e-14
## MELANOMA.7 4.377296824 -1.9611237 5.13506540 -0.94888001 2.182716e-15
## MELANOMA.8 2.683806544 -4.0637834 2.02343378 -0.13402585 2.621731e-14
## Cancer Cluster
## RENAL.1 RENAL 1
## BREAST.1 BREAST 1
## BREAST.2 BREAST 1
## NSCLC.1 NSCLC 2
## NSCLC.2 NSCLC 2
## RENAL.2 RENAL 1
## RENAL.3 RENAL 1
## RENAL.4 RENAL 2
## RENAL.5 RENAL 2
## RENAL.6 RENAL 1
## RENAL.7 RENAL 2
## RENAL.8 RENAL 2
## BREAST.3 BREAST 1
## NSCLC.3 NSCLC 1
## RENAL.9 RENAL 1
## MELANOMA.1 MELANOMA 2
## NSCLC.4 NSCLC 1
## NSCLC.5 NSCLC 2
## NSCLC.6 NSCLC 2
## COLON.1 COLON 3
## COLON.2 COLON 3
## COLON.3 COLON 3
## COLON.4 COLON 3
## COLON.5 COLON 3
## COLON.6 COLON 3
## COLON.7 COLON 2
## BREAST.4 BREAST 3
## BREAST.5 BREAST 3
## NSCLC.7 NSCLC 2
## NSCLC.8 NSCLC 3
## NSCLC.9 NSCLC 3
## MELANOMA.2 MELANOMA 1
## BREAST.6 BREAST 1
## BREAST.7 BREAST 1
## MELANOMA.3 MELANOMA 1
## MELANOMA.4 MELANOMA 1
## MELANOMA.5 MELANOMA 1
## MELANOMA.6 MELANOMA 1
## MELANOMA.7 MELANOMA 1
## MELANOMA.8 MELANOMA 1CS_PCA_FULL$Algorithm <- rep("PM_FANNY",nrow(CS_PCA_FULL))
table(CS_PCA_FULL$Cancer, CS_PCA_FULL$Cluster)##
## 1 2 3
## BREAST 5 0 2
## RENAL 5 4 0
## MELANOMA 7 1 0
## NSCLC 2 5 2
## COLON 0 1 6PM_FANNY_PCA_FULL <- CS_PCA_FULL
##################################
# Plotting the best PCA components
# grouped by cluster
##################################
PM_FANNY_ClusterPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cluster,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "PM_FANNY BY CLUSTER")
##################################
# Plotting the best PCA components
# grouped by cancer
##################################
PM_FANNY_CancerPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cancer,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "PM_FANNY BY CANCER")
grid.arrange(PM_FANNY_ClusterPlot,
PM_FANNY_CancerPlot,
ncol = 1)
1.5.4 Hierarchical Method - Hierarchical Clustering (HM_HCLUST)
Hierarchical Clustering performs a hierarchical cluster analysis using a set of dissimilarities for the observations being clustered. Initially, each object is assigned to its own cluster and then the algorithm proceeds iteratively, at each stage joining the two most similar clusters, continuing until there is just a single cluster. At each stage distances between clusters are recomputed by the Lance–Williams dissimilarity update formula according to the complete linkage method which finds similar clusters. The formulated hierarchical cluster tree is eventually cut into k clusters.
[A] The hierarchical clustering algorithm was implemented only for descriptors using the factoextra package.
[B] The optimal number of clusters was 3 to 4 as determined using the average silhouette width, total within sum of squares and gap statistic.
[C] Using a fixed number of clusters equal to 3, the average silhouette width was determined to be 0.08172.
[D] The derived clusters were sufficiently informative after applying principal component analysis on the given analysis data.
Code Chunk | Output
##################################
# Loading dataset
##################################
CS <- EDA
CS.Numeric <- CS[,sapply(CS, is.numeric)]
row.names(CS.Numeric) <- c("RENAL.1","BREAST.1","BREAST.2","NSCLC.1","NSCLC.2","RENAL.2","RENAL.3","RENAL.4",
"RENAL.5","RENAL.6","RENAL.7","RENAL.8","BREAST.3","NSCLC.3","RENAL.9","MELANOMA.1",
"NSCLC.4","NSCLC.5","NSCLC.6","COLON.1","COLON.2","COLON.3","COLON.4","COLON.5",
"COLON.6","COLON.7","BREAST.4","BREAST.5","NSCLC.7","NSCLC.8","NSCLC.9","MELANOMA.2",
"BREAST.6","BREAST.7","MELANOMA.3","MELANOMA.4","MELANOMA.5","MELANOMA.6","MELANOMA.7","MELANOMA.8")
##################################
# Evaluating for optimal number of clusters
# using the silhouette method
##################################
CS_HM_HCLUST_OptimalKPlot_Silhouette <- fviz_nbclust(CS.Numeric,
hcut,
method = "silhouette",
k.max = 5) +
labs(title = "HM_HCLUST : Optimal Number of Clusters",
subtitle = "Silhouette Method",
y = "Average Silhouette Width",
x = "Number of Clusters") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the elbow method
#################################
CS_HM_HCLUST_OptimalKPlot_Elbow <- fviz_nbclust(CS.Numeric,
hcut,
method = "wss",
k.max = 5) +
labs(title = "HM_HCLUST : Optimal Number of Clusters",
subtitle = "Elbow Method",
y = "Total Within Sum of Squares",
x = "Number of Clusters") +
geom_vline(xintercept = 4, linetype = 2, color="steelblue") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the gap statistic method
#################################
set.seed(12345678)
CS_HM_HCLUST_OptimalKPlot_Gap <- fviz_nbclust(CS.Numeric,
hcut,
method = "gap_stat",
k.max = 5,
nboot = 50) +
labs(title = "HM_HCLUST : Optimal Number of Clusters",
subtitle = "Gap Statistic Method",
y = "Gap Statistic",
x = "Number of Clusters") +
theme_classic()
##################################
# Performing hierarchical clustering
##################################
set.seed(12345678)
CS_HM_HCLUST <- hcut(CS.Numeric, k=3, hc_func = c("hclust"))
##################################
# Measuring the silhouette metric
##################################
CS_HM_HCLUST_Silhouette <- silhouette(CS_HM_HCLUST$cluster, dist(CS.Numeric))
CS_HM_HCLUST_SilhouettePlot <- fviz_silhouette(CS_HM_HCLUST_Silhouette) +
labs(title = "HM_HCLUST : Clusters Silhouette Plot",
subtitle = "Average Silhouette Width : 0.08172",
y = "Silhouette Width",
x = "Observation Indices") +
theme_classic() +
theme(legend.position="top")## cluster size ave.sil.width
## 1 1 22 0.04
## 2 2 10 0.10
## 3 3 8 0.17CS_HM_HCLUST_Silhouette_Summary <- summary(CS_HM_HCLUST_Silhouette)
(SI_CS_HM_HCLUST <- CS_HM_HCLUST_Silhouette_Summary$avg.width)## [1] 0.08172706##################################
# Gathering all optimal k assessment plots
##################################
grid.arrange(CS_HM_HCLUST_OptimalKPlot_Silhouette,
CS_HM_HCLUST_SilhouettePlot,
CS_HM_HCLUST_OptimalKPlot_Elbow,
CS_HM_HCLUST_OptimalKPlot_Gap,
ncol = 2)
##################################
# Formulating the dendrogram
# for hierarchical methods
##################################
fviz_dend(CS_HM_HCLUST, rect = TRUE) +
labs(title = "HM_HCLUST : Dendrogram") +
theme_classic() +
theme(legend.position="top")
##################################
# Performing PCA
##################################
CS_PCA <- prcomp(CS.Numeric)
##################################
# Consolidating the PCA components
##################################
rownames(CS_PCA$x) <- NULL
CS_PCA$x <- as.data.frame(CS_PCA$x)
Cancer <- EDA$Cancer
Cluster <- CS_HM_HCLUST$cluster
(CS_PCA_FULL <- cbind(CS_PCA$x, Cancer, Cluster))## PC1 PC2 PC3 PC4 PC5
## RENAL.1 -40.8088245 -14.8802016 16.2459556 -38.2817266 18.1630030
## BREAST.1 -51.5500146 -29.2010472 -0.5245907 -12.1207332 26.0534755
## BREAST.2 -13.7635414 -25.2137671 -5.6819200 -8.2167216 17.7958711
## NSCLC.1 -2.7640149 -22.8663818 -13.9921760 7.1696449 -14.1402050
## NSCLC.2 -8.0261033 -38.9617762 12.4668341 0.9197449 -1.8134715
## RENAL.2 -12.7372495 -25.9637086 19.1805968 -8.4279248 -3.2445344
## RENAL.3 -21.9954671 -31.0022753 15.9591389 -6.1391468 5.0465695
## RENAL.4 -3.5532030 -25.4031521 4.1969862 12.6052057 -7.5792539
## RENAL.5 -5.5173770 -28.1191530 12.0951125 -5.8165800 -7.1408449
## RENAL.6 -8.3719563 -30.9582948 12.1046523 11.9305480 -2.7731281
## RENAL.7 2.8959718 -30.7837695 5.7349344 11.5550413 -22.9080066
## RENAL.8 5.3069387 -29.6107020 8.7054161 18.3579936 -22.4206274
## BREAST.3 -5.0598254 -25.8998936 -54.4733676 17.7548313 32.0110649
## NSCLC.3 -17.9460560 -22.5915590 -12.2095525 -14.1508590 17.5997336
## RENAL.9 -7.4957997 -17.1959802 -58.6154816 27.0855829 18.5751455
## MELANOMA.1 -0.8344225 -8.2907519 -5.3795389 15.2128747 -14.4609872
## NSCLC.4 -3.4001679 -10.1847753 10.1721991 -22.3844409 -8.7377302
## NSCLC.5 12.3958164 -8.9193957 2.3597897 5.2428604 -20.4635629
## NSCLC.6 13.3276062 -0.4863236 0.7172494 3.5771746 -14.5121517
## COLON.1 26.9589559 4.2711378 -4.3513678 7.0075103 -8.6872749
## COLON.2 47.5798084 15.4914785 3.1841573 5.8903455 0.6073829
## COLON.3 41.9787114 6.5593316 0.9338801 4.9008842 -2.1785079
## COLON.4 44.5262442 2.2667709 16.0939759 29.2312602 15.9169504
## COLON.5 36.4902492 7.3146133 16.6755272 13.2383511 8.1584545
## COLON.6 50.6448684 21.4378836 23.1875409 -3.7118217 39.7015977
## COLON.7 44.0862657 -1.5644816 13.6732504 6.0656819 20.7716645
## BREAST.4 40.6519776 24.5172410 -25.5387128 -45.3738586 4.1080822
## BREAST.5 22.9713315 15.4143701 -4.1500573 -57.9832651 13.2374617
## NSCLC.7 27.4545511 -4.6446282 14.0078407 7.8443574 4.5409616
## NSCLC.8 12.6757981 3.6075173 -13.6707020 -12.1398310 -22.0718987
## NSCLC.9 16.0267350 7.2540219 -45.4669794 -28.7616875 -50.0669119
## MELANOMA.2 -16.4591771 50.0771824 -5.0036369 10.2645856 -8.1953325
## BREAST.6 -30.5924194 46.8761625 -17.2970209 18.4140507 14.2181976
## BREAST.7 -27.8580043 51.3894656 -13.9635438 15.3067843 13.1229292
## MELANOMA.3 -31.2608825 25.5338769 13.2461364 -11.1975320 3.6387321
## MELANOMA.4 -32.2158242 32.3561935 20.2693105 21.2179617 -12.1283413
## MELANOMA.5 -18.5667828 36.8335927 8.7781170 -2.8270593 -12.1850200
## MELANOMA.6 -28.3150641 23.2440163 20.8873335 -7.9899270 -8.3931369
## MELANOMA.7 -33.8196803 35.0235655 8.7515386 7.4968066 -2.5206323
## MELANOMA.8 -23.0599717 23.2735969 0.6911745 7.2330330 -6.6457172
## PC6 PC7 PC8 PC9 PC10
## RENAL.1 -28.38092369 21.9360840 -21.49289800 12.42489224 -11.45580794
## BREAST.1 -25.27229319 -27.2267499 22.01112313 11.51452613 -3.19298911
## BREAST.2 -29.88953860 -12.6913892 18.26969226 -14.47083048 29.55837428
## NSCLC.1 -19.45218485 -12.0648147 14.47134018 3.70496393 -3.72829937
## NSCLC.2 -2.26985385 -34.9803273 -8.15941746 -2.90368131 -0.06992716
## RENAL.2 25.02563649 -0.9274886 -27.48698049 -10.75262099 25.78300754
## RENAL.3 -3.06337353 0.9234828 2.79109481 -19.37829157 10.04853452
## RENAL.4 1.93151980 -2.5436281 8.50786896 -17.68055126 4.31828296
## RENAL.5 18.89411731 -3.2392609 -14.53915686 1.35078309 -1.15944253
## RENAL.6 7.02976483 -6.3282109 -2.09606603 -8.24430948 -23.31464854
## RENAL.7 27.27080813 9.6457298 -7.17570995 -6.48985822 -14.27810815
## RENAL.8 1.50429918 19.6620620 4.67557437 -30.07609407 -15.36729568
## BREAST.3 2.77045873 41.2023941 19.26531797 -8.63506102 -2.37823319
## NSCLC.3 30.86139578 45.0693093 12.05452350 20.58654604 16.85115177
## RENAL.9 18.90020279 -29.8536660 -24.72635784 30.01506309 -22.09040654
## MELANOMA.1 -12.30310119 -11.2336027 -9.60906269 5.07627230 -15.18529030
## NSCLC.4 9.73566901 -8.7066714 -0.12500047 15.00014880 24.23952762
## NSCLC.5 7.93441731 -6.6777021 -9.39165313 6.58950917 13.46592000
## NSCLC.6 8.56196542 11.3683922 -18.06519530 17.60639824 12.43302438
## COLON.1 -6.84016580 1.4447745 0.02513843 -2.75682854 1.58450902
## COLON.2 -32.67820562 6.7326857 -12.67590760 6.36460948 -2.63630658
## COLON.3 -13.21767689 2.7950410 0.97945308 -0.99743441 -2.90881911
## COLON.4 -2.65785991 2.4322102 8.96480766 3.26566456 3.69900020
## COLON.5 0.91006347 -2.1541591 10.05164740 -0.85193392 13.00799128
## COLON.6 4.89534872 -0.6777417 1.09375773 13.59007457 4.53546990
## COLON.7 -20.19369435 11.6279024 -13.90697879 0.06379269 -3.87199378
## BREAST.4 22.02405897 -11.7633377 7.51969122 -29.80631864 -12.12600464
## BREAST.5 19.95380457 -15.5090626 6.57001828 -12.24025162 -26.75442677
## NSCLC.7 12.51326434 -11.0749508 17.51374822 12.42061375 -7.45600600
## NSCLC.8 -13.70154630 -4.3464857 1.83785771 13.04958563 14.42659393
## NSCLC.9 -27.03728367 10.9233548 2.94486867 5.48524782 10.05081060
## MELANOMA.2 24.23590930 -6.5646977 5.93341514 12.79574386 16.09245861
## BREAST.6 -0.90455426 -7.7164417 -24.44023046 -25.54680407 14.15386012
## BREAST.7 -1.28602988 -6.6637144 -20.38427183 -24.10866434 13.48486070
## MELANOMA.3 -17.93583214 19.9118913 -36.53466208 2.66411947 -18.07211789
## MELANOMA.4 -7.49570716 11.4350190 20.58869491 2.38248074 -21.51176542
## MELANOMA.5 -3.32272881 -0.8177342 13.76333873 12.86893287 -12.42498255
## MELANOMA.6 15.96654936 12.7722421 10.32805983 13.20475832 -7.52284706
## MELANOMA.7 6.88371944 -17.2262780 24.70115261 5.36417620 4.34745981
## MELANOMA.8 0.09958072 11.1055405 15.94736416 -12.44936903 -4.57511893
## PC11 PC12 PC13 PC14 PC15
## RENAL.1 -18.8168144 0.4383544 10.382425 -20.23685151 -4.6010710
## BREAST.1 10.0738688 12.8829960 20.009948 6.19764786 -3.8854535
## BREAST.2 4.3695447 -7.5227353 1.476144 -26.70018056 -6.3303967
## NSCLC.1 4.1428596 -13.4388944 8.260839 8.92169343 15.0172598
## NSCLC.2 13.9552117 33.2943222 -48.722943 -8.49712147 7.2296046
## RENAL.2 -0.4334825 6.6396454 4.605529 10.80962975 -1.9370162
## RENAL.3 4.3587775 -8.5435981 10.993360 14.70941051 -9.6464027
## RENAL.4 -9.4274060 -15.1788605 7.210812 -0.03107319 -1.5514343
## RENAL.5 10.4467645 -18.2469475 -0.181811 -2.10161603 -0.9986700
## RENAL.6 12.9809511 -14.2836494 -4.199049 6.86104389 -9.6966713
## RENAL.7 20.7789594 11.8037497 10.347702 -3.04056404 0.2588320
## RENAL.8 -8.0733457 -9.8046604 7.338112 -2.89923530 -10.4512713
## BREAST.3 -9.1676234 24.4651831 -4.724110 15.16388019 -8.6775178
## NSCLC.3 17.1056592 -19.3408400 -14.682348 -10.07989009 16.4202666
## RENAL.9 -5.2578025 -8.4092562 2.443615 -4.68878521 -2.9904893
## MELANOMA.1 6.1121546 -5.9597708 11.062757 -3.18537088 16.5292222
## NSCLC.4 -14.6792530 6.6988410 -6.673776 17.12727510 -6.2134922
## NSCLC.5 -8.4530506 14.7777072 16.796744 8.83900537 7.9240847
## NSCLC.6 -21.2203210 8.2411447 18.170243 -11.20301737 14.4850830
## COLON.1 2.6638907 0.6631448 3.429936 -16.32779360 2.2268558
## COLON.2 24.2006024 -18.3947634 -1.410194 -1.93945596 4.5280082
## COLON.3 -4.4964095 8.7221868 -2.697517 -14.72479143 -4.1402033
## COLON.4 -2.9558684 7.3807056 -1.536895 -32.09656266 -2.9686419
## COLON.5 -5.6012296 5.3065718 -9.884840 -3.92625132 -1.1400039
## COLON.6 27.9727679 0.4295279 16.323474 21.37620261 16.1321809
## COLON.7 -3.1716112 -1.6146309 -9.552245 33.07799449 -18.0543083
## BREAST.4 2.2566136 27.0753291 25.573821 -9.96620079 4.7494142
## BREAST.5 -9.6691470 -26.1355923 -17.512080 -1.35475670 -3.4399884
## NSCLC.7 -43.7374523 -3.4053080 -13.438531 9.34462955 -3.6913470
## NSCLC.8 -23.1384343 -14.1900875 1.936784 2.14248203 -0.0360884
## NSCLC.9 16.8669224 6.0753951 -15.014390 13.98184396 -5.4968034
## MELANOMA.2 17.2265831 -8.7747718 2.582105 -14.44534062 -50.0848743
## BREAST.6 -2.4105471 -2.9607682 -4.815252 4.91006085 10.0184308
## BREAST.7 -3.9477204 -5.4719337 -5.985446 4.42792458 5.5675135
## MELANOMA.3 -4.6815714 10.1431936 -5.381634 -3.38166634 -5.0803943
## MELANOMA.4 -6.0768720 12.5698064 1.658638 6.06582023 -5.2243748
## MELANOMA.5 11.6469621 6.1656706 1.025565 6.33710418 -8.1620026
## MELANOMA.6 7.7556527 15.0519608 -5.904430 -4.47247291 9.3518672
## MELANOMA.7 -5.3993409 -5.6860604 8.801084 8.14923859 14.3096810
## MELANOMA.8 -4.0994429 -11.4623076 -18.112146 -3.14388917 29.7506126
## PC16 PC17 PC18 PC19 PC20
## RENAL.1 -5.662949378 8.8696591 10.7636590 -8.9843050 -0.2568009
## BREAST.1 18.857960027 -5.9345514 16.5996513 -6.3421916 -13.5194798
## BREAST.2 -15.072362756 7.9522776 -21.2526061 19.7533341 18.6685410
## NSCLC.1 9.181009767 -5.3411933 -4.1403511 -12.3897400 17.4646938
## NSCLC.2 -6.498513959 -8.5218321 -13.6872200 -3.6913270 -11.2109919
## RENAL.2 -15.907323043 4.2115467 1.9997001 -18.9375283 3.0937154
## RENAL.3 -5.846137256 -1.0021390 -5.2128520 11.8988689 -10.2074044
## RENAL.4 -6.691803619 2.8418483 4.3773496 -4.7885604 -1.3462391
## RENAL.5 -0.007016485 4.3033793 7.3978992 -1.4885321 7.1283098
## RENAL.6 20.861392917 -3.3000768 1.4409800 3.3420850 -0.4893533
## RENAL.7 17.359266948 8.4877141 3.7647429 15.7787486 4.5177008
## RENAL.8 -16.840942374 8.1188689 1.5147300 7.3569731 -10.8255481
## BREAST.3 12.684710639 13.7166479 -19.6041940 -15.0902642 5.6236444
## NSCLC.3 1.170108975 -27.6443560 13.9822213 2.8084054 -9.5609004
## RENAL.9 -25.399862065 7.2628585 3.8618902 19.3240361 -5.9771364
## MELANOMA.1 -1.868377802 -18.5275567 -6.2049813 -28.3639118 27.2557923
## NSCLC.4 18.133056260 10.2649900 5.1042998 15.3638033 -0.1955358
## NSCLC.5 5.114134153 3.4516651 -4.1979496 -7.4483942 -2.3635385
## NSCLC.6 1.584596285 0.1094674 -32.8089019 -5.7834102 -20.9953511
## COLON.1 6.103126868 -6.4199859 10.9877739 -6.0494608 -1.2852115
## COLON.2 27.907154739 10.9518394 -16.9653819 8.9886548 -21.8469609
## COLON.3 3.676459791 -0.1118281 4.5407698 -2.9962697 -5.3321513
## COLON.4 0.051563859 5.7295269 22.7001825 -3.5054393 -2.9346423
## COLON.5 -4.524643721 1.1784995 10.5716993 -8.5395999 4.6475695
## COLON.6 -20.996547772 23.0476070 0.5577855 1.2009484 10.6691302
## COLON.7 -13.508886953 -37.6883772 -4.5161224 3.5946606 -0.4505893
## BREAST.4 -0.442604463 -25.3692448 4.8017413 11.4783325 -0.4102515
## BREAST.5 1.394634847 15.4565606 -14.9202702 -17.0508084 -5.4315167
## NSCLC.7 15.770117599 6.2396392 12.7335287 3.0268453 12.9640513
## NSCLC.8 0.872850393 -18.7086585 -5.5420840 22.4894648 7.8733868
## NSCLC.9 -15.407395963 18.2175406 24.3717965 -7.1611468 -3.0351285
## MELANOMA.2 3.217855898 -7.2108317 -11.5645979 -18.5248904 4.4067783
## BREAST.6 13.432072382 3.2484689 11.6611216 6.4709425 1.7349520
## BREAST.7 10.827432333 1.4601952 7.3635415 2.3383908 1.6739053
## MELANOMA.3 3.020712942 -2.7248282 1.5876700 0.5402548 7.7460470
## MELANOMA.4 -20.657955455 -0.2459432 0.4491535 6.5466252 -8.7668730
## MELANOMA.5 -4.437368428 -0.9557561 -8.0826596 9.4194930 2.9166478
## MELANOMA.6 5.046018818 7.3758665 -9.7645090 17.6199847 23.8575430
## MELANOMA.7 -6.909945573 -1.2492458 0.2481165 -12.0278626 -26.0602046
## MELANOMA.8 -9.585599374 -1.5402623 -4.9173230 -0.1772090 0.2594007
## PC21 PC22 PC23 PC24 PC25
## RENAL.1 -8.1219384 -2.3801543 3.0790325 6.3736255 1.7427830
## BREAST.1 0.7215126 7.1277163 -17.6387968 -14.9752124 -4.7005542
## BREAST.2 3.3406108 -15.4509420 3.5723914 -14.9283409 -2.1095204
## NSCLC.1 4.2065659 23.7308508 -13.8757244 10.5920014 26.3754459
## NSCLC.2 3.9189028 0.5681244 -5.9699825 18.0221937 -0.3761069
## RENAL.2 -22.3263431 6.6849106 7.7366811 -5.2977699 -1.1984125
## RENAL.3 -3.5565476 -6.5537463 12.4515992 6.0980861 9.0640498
## RENAL.4 5.6343692 12.2505087 8.1958207 5.3404963 12.5512465
## RENAL.5 -15.4655745 -3.5281985 -2.8179072 10.4067872 5.2362113
## RENAL.6 -10.4596192 -15.4881191 -4.3265631 0.6876053 1.5697694
## RENAL.7 -5.8395443 -11.5313297 -5.7195490 -11.0560002 -8.9933186
## RENAL.8 24.9674078 10.5473884 -11.1246393 4.1557700 -10.1077242
## BREAST.3 -8.6284869 0.2913260 5.7157797 11.0315982 -7.8523564
## NSCLC.3 17.2947725 -7.4081767 0.9647080 3.3030903 5.6037903
## RENAL.9 -1.5201623 8.5760457 9.9233511 -7.6996833 4.0943606
## MELANOMA.1 16.3498667 -20.9344736 19.2563060 -0.9705273 -19.3872899
## NSCLC.4 24.6657839 16.2455963 21.1266018 -0.5275090 -15.6730338
## NSCLC.5 9.3415250 5.4671907 -3.3690174 -6.3121332 -5.7167584
## NSCLC.6 5.7319748 -12.6021784 -21.0579833 -11.3452123 13.2880523
## COLON.1 0.6130267 18.6642097 10.4765600 -5.9712671 -8.9539775
## COLON.2 -10.9003565 3.9739589 17.5886014 -0.0328078 0.1992447
## COLON.3 0.7128408 1.7036746 13.1175181 9.0650976 16.7275581
## COLON.4 -2.8625341 0.8677419 -13.3645979 1.2394907 -17.4825024
## COLON.5 0.6326389 -4.2007542 8.5923598 -10.5437977 20.8631739
## COLON.6 5.4187031 0.5027922 -12.1825950 17.3025828 -5.3917262
## COLON.7 -2.2971767 2.1539241 -6.9546962 -22.7515409 -3.9738973
## BREAST.4 -6.6866229 0.9138177 7.0471814 4.9361990 6.5890090
## BREAST.5 11.6855200 -0.3913481 -8.9530002 -7.9650281 -7.4553939
## NSCLC.7 -6.7105389 -17.1260109 0.3417719 -3.1554901 9.2348679
## NSCLC.8 -17.8316181 -0.1175261 -15.3830107 28.1839987 -19.2792220
## NSCLC.9 -4.0988363 -14.8527648 -7.3493888 -9.0834538 3.0192383
## MELANOMA.2 -3.2470754 9.2124714 -6.5703924 3.4132136 -1.0257982
## BREAST.6 9.1387592 -8.0408700 -9.2760804 0.3765344 2.5097839
## BREAST.7 7.0031336 -6.2545305 -7.5446763 2.6599035 3.3926133
## MELANOMA.3 5.3814560 9.1020142 2.6611341 5.3897348 1.3938781
## MELANOMA.4 1.9289217 -7.3293128 0.5146652 7.3253317 2.2532674
## MELANOMA.5 11.7528752 -4.5907382 7.8478776 1.3076374 8.3123198
## MELANOMA.6 -5.7619531 9.7628258 -1.6936237 -12.2066519 6.4309534
## MELANOMA.7 -11.7882412 -12.5488028 15.4478542 6.0991416 -9.7397871
## MELANOMA.8 -22.3379977 22.9828883 -0.4855703 -18.4876938 -11.0342370
## PC26 PC27 PC28 PC29 PC30
## RENAL.1 2.1026327 -19.8940420 -2.75429558 -5.8534300 -0.3143682
## BREAST.1 -7.0384185 12.9504524 -10.78191257 -10.1032115 -3.2560589
## BREAST.2 -1.1763404 -4.5466368 17.96171498 -4.7559058 2.4451659
## NSCLC.1 4.7147359 -8.2919569 15.50691093 11.6803089 1.8635974
## NSCLC.2 -4.4211664 -8.0446471 -2.53713571 -0.3841517 -6.7892244
## RENAL.2 -4.6658462 9.5878528 2.30279860 -5.4374246 -7.5225257
## RENAL.3 -4.6886985 11.0211499 -21.88322630 25.0984307 -3.1940147
## RENAL.4 7.4303607 -0.3502826 -7.13099119 5.1271850 -7.7255526
## RENAL.5 -11.5816924 17.0448958 21.21647355 -0.1886500 8.7706326
## RENAL.6 16.0062084 -13.8289271 -3.49215881 -3.3873177 21.3084337
## RENAL.7 10.3462673 -7.1157220 3.42786281 -5.6943307 -5.3163063
## RENAL.8 -4.9498670 -9.8364189 -3.90238457 -10.8107034 -9.3540090
## BREAST.3 2.9677480 4.2439599 2.53640697 0.5829024 1.4279022
## NSCLC.3 -6.1403677 1.0977840 2.86842817 -3.9138924 -2.4693453
## RENAL.9 1.7464998 0.8782478 -3.02814124 0.9493338 0.7244590
## MELANOMA.1 -6.2090284 4.5572797 -14.56963834 3.1774711 -0.4073078
## NSCLC.4 4.3008390 -7.4765416 0.93575009 6.6274326 17.1092039
## NSCLC.5 -10.3343179 6.0017701 14.96250751 -9.3231358 10.8651383
## NSCLC.6 2.2447792 -2.5523635 -7.93106844 7.9053385 2.6873129
## COLON.1 5.7570433 1.8739553 5.83506422 -7.6679446 -20.3342928
## COLON.2 -18.1913154 1.3043948 0.05464163 -1.3205485 -6.6851706
## COLON.3 12.9175753 13.1326317 -1.53768672 -17.7757180 2.6068817
## COLON.4 3.3304030 10.1798907 4.11826656 31.7687696 7.4466170
## COLON.5 14.1904541 3.3264652 -16.29605630 -14.2476081 17.0732946
## COLON.6 -1.3872065 -12.1536584 -7.22991862 -6.1563584 -0.9839112
## COLON.7 8.8728997 -3.0454937 11.45658552 3.4000561 -4.6314308
## BREAST.4 -10.3974015 -10.0631855 1.27395112 5.2633043 5.4012083
## BREAST.5 8.0833874 17.4165249 2.41272227 0.1794548 -0.7442598
## NSCLC.7 -26.3908730 -13.2113823 1.01874768 0.7740935 -17.4528621
## NSCLC.8 10.3537247 11.5452833 -11.75390075 -10.6153986 -0.2862480
## NSCLC.9 0.3156814 -3.4835761 -3.48382193 7.7206823 -1.5409177
## MELANOMA.2 -8.5289627 -13.6852935 -7.42651403 -1.2737961 0.1397490
## BREAST.6 0.5440509 0.4227033 -0.09338069 -3.0128543 -3.1441940
## BREAST.7 0.2208376 3.4800107 -0.17637738 -1.6661700 -2.6944162
## MELANOMA.3 2.4763714 -0.7636371 7.15031337 10.1125634 4.6749957
## MELANOMA.4 -14.6525677 17.0019292 10.33070240 -7.4387306 10.8720916
## MELANOMA.5 -4.0513436 4.5882474 3.13882370 2.8619400 -0.0298255
## MELANOMA.6 15.5871203 11.2713457 -7.92800429 4.9564524 -18.8798657
## MELANOMA.7 24.3737713 -13.4028702 17.88331700 4.1668869 -9.6203518
## MELANOMA.8 -14.0779774 -11.1801394 -12.45537562 -1.3253256 17.9597754
## PC31 PC32 PC33 PC34 PC35
## RENAL.1 0.7392229 0.8240341 18.3377284 -4.9693360 -14.0842734
## BREAST.1 -5.3310559 5.6192735 -7.8232664 1.0150830 4.7571443
## BREAST.2 2.3464771 -3.1078894 -4.6107417 2.7497810 5.7614019
## NSCLC.1 10.5586067 5.2638408 5.6670547 -4.4994210 6.9027466
## NSCLC.2 -0.6416232 -1.1144497 1.4874385 -0.5385799 -4.9270386
## RENAL.2 18.4657018 6.2816303 1.2411642 -5.6300513 13.8848475
## RENAL.3 -2.4889191 -10.1445704 5.1797492 -1.4066064 2.0740554
## RENAL.4 -0.9913807 -10.9460570 -0.7305702 3.8774439 -8.8105573
## RENAL.5 -31.3140950 8.1074467 -10.3289009 0.5328424 -13.7777199
## RENAL.6 7.8388647 -15.0281816 -1.8934256 9.7783495 -2.1499828
## RENAL.7 1.7917785 0.2538712 6.2339125 -15.5435647 10.9162952
## RENAL.8 -2.2645966 21.1747655 -6.0367308 3.7333508 -0.7269103
## BREAST.3 -3.3994934 1.3075061 -3.0402434 -2.9920445 -4.7277863
## NSCLC.3 8.3118214 -1.0447135 1.2547621 2.2016476 3.9067613
## RENAL.9 3.9010649 1.6700509 0.8818550 1.2754767 0.2090014
## MELANOMA.1 -3.2324218 5.4439823 1.3558165 4.0156304 0.5925067
## NSCLC.4 -7.4931789 1.7621396 0.4775051 1.9857327 2.7331805
## NSCLC.5 11.4104859 -7.3503902 13.6738275 8.1807869 -13.2761144
## NSCLC.6 -10.9315454 -5.5501490 -8.3696381 -1.4143996 2.0760668
## COLON.1 -4.6157737 -31.9581010 -13.0348274 -8.9431962 -7.8998579
## COLON.2 12.5982700 11.9254698 -0.9279571 4.1286007 -4.9221188
## COLON.3 -19.8375935 0.4513075 18.7456304 8.2548082 24.4171753
## COLON.4 6.3090603 5.6225258 7.1500232 -2.4478230 0.1984293
## COLON.5 10.9023911 13.3422544 -17.1664113 -9.2994318 -13.2575320
## COLON.6 -4.8140819 -9.1205348 -3.2107145 2.1820082 3.7940292
## COLON.7 -7.4839051 2.8298206 8.1109842 1.1667600 -4.2046214
## BREAST.4 1.8825868 5.1295454 -3.3191451 4.6649271 -3.6234702
## BREAST.5 7.5589740 -3.3446081 3.1312707 -3.0868140 2.0846453
## NSCLC.7 -0.2816572 -2.1376984 -3.6107122 1.1853505 6.8744437
## NSCLC.8 7.3584782 1.8447446 -3.1595211 -5.6049853 -0.3020799
## NSCLC.9 -1.7440254 -2.0257422 -2.2949303 5.9229999 -0.1049032
## MELANOMA.2 -2.1422900 -0.3112479 2.6521058 5.3188079 1.5592732
## BREAST.6 -0.7101322 -1.1154967 7.0541706 -2.3831608 -3.0419830
## BREAST.7 -2.0385481 1.4471411 4.0089958 0.3484982 -2.5585811
## MELANOMA.3 4.9611490 -1.1873226 -27.5224062 3.3604962 16.3576416
## MELANOMA.4 12.9181967 -13.4504395 1.1521312 8.0392110 0.7863998
## MELANOMA.5 -3.9475736 2.9827395 5.6554343 -34.3003018 -4.0424093
## MELANOMA.6 0.1451256 8.0190591 4.3864174 19.7665380 -11.2277096
## MELANOMA.7 -2.7191005 10.5705883 -5.2330746 3.7724375 1.4786129
## MELANOMA.8 -11.5752645 -2.9361451 4.4752393 -4.3978521 6.3009916
## PC36 PC37 PC38 PC39 PC40
## RENAL.1 2.641823192 5.8093584 -1.18907511 1.12077214 3.652287e-14
## BREAST.1 -1.444634896 -3.5605464 -2.85803721 0.20932831 1.525320e-14
## BREAST.2 -0.746636712 -2.2385048 0.16186651 0.02399461 -7.960039e-14
## NSCLC.1 2.284666197 12.9312900 2.18817647 0.45778842 1.354028e-14
## NSCLC.2 3.050009133 -0.1901342 -0.95261933 0.32715261 6.635317e-17
## RENAL.2 -17.317223331 2.7833530 -4.06727264 -0.35101809 3.471393e-14
## RENAL.3 11.767789238 5.9056366 17.86003253 -0.50443445 -5.407984e-14
## RENAL.4 3.802633574 -23.4966880 -27.09686042 -0.04114654 1.667676e-14
## RENAL.5 1.955167089 3.3557288 -0.83178130 -0.93333917 2.819641e-14
## RENAL.6 -21.493409795 -3.3307025 5.19960005 -0.16746945 2.819522e-15
## RENAL.7 22.401422008 2.7667389 -8.73856796 3.03745219 6.038139e-15
## RENAL.8 -7.843996875 2.7716556 9.37153100 -0.64147322 3.884913e-15
## BREAST.3 -1.096173952 -0.2946957 0.07876246 -0.49016155 1.973156e-14
## NSCLC.3 -0.230611108 -2.9776534 1.15764647 0.22288848 6.330526e-14
## RENAL.9 0.244325519 0.9982860 2.31291233 0.67593017 4.923313e-14
## MELANOMA.1 -0.114405049 3.3036504 -3.10146912 -0.09793988 1.496719e-14
## NSCLC.4 -4.144323391 11.5837889 -8.82500432 0.99877943 1.329861e-14
## NSCLC.5 9.771953072 -18.9126746 17.52370516 -0.36665725 3.019330e-14
## NSCLC.6 -6.820061583 5.5854694 -5.69808985 0.17466729 -1.651270e-13
## COLON.1 -5.126962625 12.1707871 8.48712769 0.67973902 -4.300813e-15
## COLON.2 -0.444335690 0.3385446 -5.83754476 -0.21293025 3.290293e-14
## COLON.3 -2.226541212 -4.0560325 4.42151987 -0.97133272 -1.866909e-14
## COLON.4 -5.443500627 -2.3617188 -0.81874533 -0.11917954 6.357241e-14
## COLON.5 10.903294271 5.4199815 3.91802986 -0.21458698 3.245191e-14
## COLON.6 0.199260778 -1.4514957 -0.48002348 0.41186831 2.486292e-15
## COLON.7 2.775666799 1.0179611 -4.18063938 -0.02757616 -1.983093e-14
## BREAST.4 -3.451544728 0.9708069 -3.22393746 -0.01597679 -1.675656e-14
## BREAST.5 5.243700946 1.4961966 -0.31485625 -0.77471788 2.319889e-14
## NSCLC.7 -0.001777824 -2.9551536 3.27249806 -0.15476970 1.251560e-14
## NSCLC.8 1.909964627 -2.8569881 -0.61588528 -0.55916158 6.762299e-14
## NSCLC.9 -1.709562643 -1.4958452 -0.56406809 0.14326041 -1.018942e-13
## MELANOMA.2 6.821007171 1.3895813 0.17428423 -1.36336421 2.330167e-15
## BREAST.6 -0.217116626 4.9527655 -2.75017950 -22.62075110 -7.769615e-14
## BREAST.7 -2.323587562 1.0830945 0.63420693 25.52064720 5.010879e-14
## MELANOMA.3 8.821286110 -13.9723966 5.17013951 -1.49320420 -2.169966e-14
## MELANOMA.4 3.341205451 16.6222088 -12.90971254 0.65225703 -1.731276e-14
## MELANOMA.5 -16.661986777 -13.9718102 3.15276677 -0.68821410 -8.026978e-14
## MELANOMA.6 -6.137885537 0.8910633 2.81106426 -0.76421494 -1.094957e-14
## MELANOMA.7 4.377296824 -1.9611237 5.13506540 -0.94888001 2.182716e-15
## MELANOMA.8 2.683806544 -4.0637834 2.02343378 -0.13402585 2.621731e-14
## Cancer Cluster
## RENAL.1 RENAL 1
## BREAST.1 BREAST 1
## BREAST.2 BREAST 1
## NSCLC.1 NSCLC 1
## NSCLC.2 NSCLC 1
## RENAL.2 RENAL 1
## RENAL.3 RENAL 1
## RENAL.4 RENAL 1
## RENAL.5 RENAL 1
## RENAL.6 RENAL 1
## RENAL.7 RENAL 1
## RENAL.8 RENAL 1
## BREAST.3 BREAST 1
## NSCLC.3 NSCLC 1
## RENAL.9 RENAL 1
## MELANOMA.1 MELANOMA 1
## NSCLC.4 NSCLC 1
## NSCLC.5 NSCLC 1
## NSCLC.6 NSCLC 1
## COLON.1 COLON 2
## COLON.2 COLON 2
## COLON.3 COLON 2
## COLON.4 COLON 2
## COLON.5 COLON 2
## COLON.6 COLON 2
## COLON.7 COLON 2
## BREAST.4 BREAST 2
## BREAST.5 BREAST 2
## NSCLC.7 NSCLC 2
## NSCLC.8 NSCLC 1
## NSCLC.9 NSCLC 1
## MELANOMA.2 MELANOMA 3
## BREAST.6 BREAST 3
## BREAST.7 BREAST 3
## MELANOMA.3 MELANOMA 1
## MELANOMA.4 MELANOMA 3
## MELANOMA.5 MELANOMA 3
## MELANOMA.6 MELANOMA 3
## MELANOMA.7 MELANOMA 3
## MELANOMA.8 MELANOMA 3CS_PCA_FULL$Algorithm <- rep("HM_HCLUST",nrow(CS_PCA_FULL))
table(CS_PCA_FULL$Cancer, CS_PCA_FULL$Cluster)##
## 1 2 3
## BREAST 3 2 2
## RENAL 9 0 0
## MELANOMA 2 0 6
## NSCLC 8 1 0
## COLON 0 7 0HM_HCLUST_PCA_FULL <- CS_PCA_FULL
##################################
# Plotting the best PCA components
# grouped by cluster
##################################
HM_HCLUST_ClusterPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cluster,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "HM_HCLUST BY CLUSTER")
##################################
# Plotting the best PCA components
# grouped by cancer
##################################
HM_HCLUST_CancerPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cancer,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "HM_HCLUST BY CANCER")
grid.arrange(HM_HCLUST_ClusterPlot,
HM_HCLUST_CancerPlot,
ncol = 1)
1.5.5 Hierarchical Method - Agglomerative Nesting (HM_AGNES)
Agglomerative Nesting computes an agglomerative hierarchical clustering of the data set. The algorithm constructs a hierarchy of clusterings. At first, each observation is a small cluster by itself. Clusters are merged until only one large cluster remains which contains all the observations. At each stage the two nearest clusters are combined to form one larger cluster. Euclidean distance, which are root sum-of-squares of differences, is used for calculating dissimilarities between observations. The distance between two clusters is the average of the dissimilarities between the points in one cluster and the points in the other cluster.
[A] The agglomerative nesting algorithm was implemented only for descriptors using the cluster package.
[B] The optimal number of clusters was 3 as determined using the average silhouette width, total within sum of squares and gap statistic.
[C] Using a fixed number of clusters equal to 3, the average silhouette width was determined to be 0.08172.
[D] The derived clusters were sufficiently informative after applying principal component analysis on the given analysis data.
Code Chunk | Output
##################################
# Loading dataset
##################################
CS <- EDA
CS.Numeric <- CS[,sapply(CS, is.numeric)]
row.names(CS.Numeric) <- c("RENAL.1","BREAST.1","BREAST.2","NSCLC.1","NSCLC.2","RENAL.2","RENAL.3","RENAL.4",
"RENAL.5","RENAL.6","RENAL.7","RENAL.8","BREAST.3","NSCLC.3","RENAL.9","MELANOMA.1",
"NSCLC.4","NSCLC.5","NSCLC.6","COLON.1","COLON.2","COLON.3","COLON.4","COLON.5",
"COLON.6","COLON.7","BREAST.4","BREAST.5","NSCLC.7","NSCLC.8","NSCLC.9","MELANOMA.2",
"BREAST.6","BREAST.7","MELANOMA.3","MELANOMA.4","MELANOMA.5","MELANOMA.6","MELANOMA.7","MELANOMA.8")
##################################
# Evaluating for optimal number of clusters
# using the silhouette method
##################################
CS_HM_AGNES_OptimalKPlot_Silhouette <- fviz_nbclust(CS.Numeric,
hcut,
method = "silhouette",
k.max = 5) +
labs(title = "HM_AGNES : Optimal Number of Clusters",
subtitle = "Silhouette Method",
y = "Average Silhouette Width",
x = "Number of Clusters") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the elbow method
#################################
CS_HM_AGNES_OptimalKPlot_Elbow <- fviz_nbclust(CS.Numeric,
hcut,
method = "wss",
k.max = 5) +
labs(title = "HM_AGNES : Optimal Number of Clusters",
subtitle = "Elbow Method",
y = "Total Within Sum of Squares",
x = "Number of Clusters") +
geom_vline(xintercept = 3, linetype = 2, color="steelblue") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the gap statistic method
#################################
set.seed(12345678)
CS_HM_AGNES_OptimalKPlot_Gap <- fviz_nbclust(CS.Numeric,
hcut,
method = "gap_stat",
k.max = 5,
nboot = 50) +
labs(title = "HM_AGNES : Optimal Number of Clusters",
subtitle = "Gap Statistic Method",
y = "Gap Statistic",
x = "Number of Clusters") +
theme_classic()
##################################
# Performing agglomerative nesting
##################################
set.seed(12345678)
CS_HM_AGNES <- hcut(CS.Numeric, k=3, hc_func = c("agnes"))
##################################
# Measuring the silhouette metric
##################################
CS_HM_AGNES_Silhouette <- silhouette(CS_HM_AGNES$cluster, dist(CS.Numeric))
CS_HM_AGNES_SilhouettePlot <- fviz_silhouette(CS_HM_AGNES_Silhouette) +
labs(title = "HM_AGNES : Clusters Silhouette Plot",
subtitle = "Average Silhouette Width : 0.08172",
y = "Silhouette Width",
x = "Observation Indices") +
theme_classic() +
theme(legend.position="top")## cluster size ave.sil.width
## 1 1 22 0.04
## 2 2 10 0.10
## 3 3 8 0.17CS_HM_AGNES_Silhouette_Summary <- summary(CS_HM_AGNES_Silhouette)
(SI_CS_HM_AGNES <- CS_HM_AGNES_Silhouette_Summary$avg.width)## [1] 0.08172706##################################
# Gathering all optimal k assessment plots
##################################
grid.arrange(CS_HM_AGNES_OptimalKPlot_Silhouette,
CS_HM_AGNES_SilhouettePlot,
CS_HM_AGNES_OptimalKPlot_Elbow,
CS_HM_AGNES_OptimalKPlot_Gap,
ncol = 2)
##################################
# Formulating the dendrogram
# for hierarchical methods
##################################
fviz_dend(CS_HM_AGNES, rect = TRUE) +
labs(title = "HM_AGNES : Dendrogram") +
theme_classic() +
theme(legend.position="top")
##################################
# Performing PCA
##################################
CS_PCA <- prcomp(CS.Numeric)
##################################
# Consolidating the PCA components
##################################
rownames(CS_PCA$x) <- NULL
CS_PCA$x <- as.data.frame(CS_PCA$x)
Cancer <- EDA$Cancer
Cluster <- CS_HM_AGNES$cluster
(CS_PCA_FULL <- cbind(CS_PCA$x, Cancer, Cluster))## PC1 PC2 PC3 PC4 PC5 PC6
## 1 -40.8088245 -14.8802016 16.2459556 -38.2817266 18.1630030 -28.38092369
## 2 -51.5500146 -29.2010472 -0.5245907 -12.1207332 26.0534755 -25.27229319
## 3 -13.7635414 -25.2137671 -5.6819200 -8.2167216 17.7958711 -29.88953860
## 4 -2.7640149 -22.8663818 -13.9921760 7.1696449 -14.1402050 -19.45218485
## 5 -8.0261033 -38.9617762 12.4668341 0.9197449 -1.8134715 -2.26985385
## 6 -12.7372495 -25.9637086 19.1805968 -8.4279248 -3.2445344 25.02563649
## 7 -21.9954671 -31.0022753 15.9591389 -6.1391468 5.0465695 -3.06337353
## 8 -3.5532030 -25.4031521 4.1969862 12.6052057 -7.5792539 1.93151980
## 9 -5.5173770 -28.1191530 12.0951125 -5.8165800 -7.1408449 18.89411731
## 10 -8.3719563 -30.9582948 12.1046523 11.9305480 -2.7731281 7.02976483
## 11 2.8959718 -30.7837695 5.7349344 11.5550413 -22.9080066 27.27080813
## 12 5.3069387 -29.6107020 8.7054161 18.3579936 -22.4206274 1.50429918
## 13 -5.0598254 -25.8998936 -54.4733676 17.7548313 32.0110649 2.77045873
## 14 -17.9460560 -22.5915590 -12.2095525 -14.1508590 17.5997336 30.86139578
## 15 -7.4957997 -17.1959802 -58.6154816 27.0855829 18.5751455 18.90020279
## 16 -0.8344225 -8.2907519 -5.3795389 15.2128747 -14.4609872 -12.30310119
## 17 -3.4001679 -10.1847753 10.1721991 -22.3844409 -8.7377302 9.73566901
## 18 12.3958164 -8.9193957 2.3597897 5.2428604 -20.4635629 7.93441731
## 19 13.3276062 -0.4863236 0.7172494 3.5771746 -14.5121517 8.56196542
## 20 26.9589559 4.2711378 -4.3513678 7.0075103 -8.6872749 -6.84016580
## 21 47.5798084 15.4914785 3.1841573 5.8903455 0.6073829 -32.67820562
## 22 41.9787114 6.5593316 0.9338801 4.9008842 -2.1785079 -13.21767689
## 23 44.5262442 2.2667709 16.0939759 29.2312602 15.9169504 -2.65785991
## 24 36.4902492 7.3146133 16.6755272 13.2383511 8.1584545 0.91006347
## 25 50.6448684 21.4378836 23.1875409 -3.7118217 39.7015977 4.89534872
## 26 44.0862657 -1.5644816 13.6732504 6.0656819 20.7716645 -20.19369435
## 27 40.6519776 24.5172410 -25.5387128 -45.3738586 4.1080822 22.02405897
## 28 22.9713315 15.4143701 -4.1500573 -57.9832651 13.2374617 19.95380457
## 29 27.4545511 -4.6446282 14.0078407 7.8443574 4.5409616 12.51326434
## 30 12.6757981 3.6075173 -13.6707020 -12.1398310 -22.0718987 -13.70154630
## 31 16.0267350 7.2540219 -45.4669794 -28.7616875 -50.0669119 -27.03728367
## 32 -16.4591771 50.0771824 -5.0036369 10.2645856 -8.1953325 24.23590930
## 33 -30.5924194 46.8761625 -17.2970209 18.4140507 14.2181976 -0.90455426
## 34 -27.8580043 51.3894656 -13.9635438 15.3067843 13.1229292 -1.28602988
## 35 -31.2608825 25.5338769 13.2461364 -11.1975320 3.6387321 -17.93583214
## 36 -32.2158242 32.3561935 20.2693105 21.2179617 -12.1283413 -7.49570716
## 37 -18.5667828 36.8335927 8.7781170 -2.8270593 -12.1850200 -3.32272881
## 38 -28.3150641 23.2440163 20.8873335 -7.9899270 -8.3931369 15.96654936
## 39 -33.8196803 35.0235655 8.7515386 7.4968066 -2.5206323 6.88371944
## 40 -23.0599717 23.2735969 0.6911745 7.2330330 -6.6457172 0.09958072
## PC7 PC8 PC9 PC10 PC11 PC12
## 1 21.9360840 -21.49289800 12.42489224 -11.45580794 -18.8168144 0.4383544
## 2 -27.2267499 22.01112313 11.51452613 -3.19298911 10.0738688 12.8829960
## 3 -12.6913892 18.26969226 -14.47083048 29.55837428 4.3695447 -7.5227353
## 4 -12.0648147 14.47134018 3.70496393 -3.72829937 4.1428596 -13.4388944
## 5 -34.9803273 -8.15941746 -2.90368131 -0.06992716 13.9552117 33.2943222
## 6 -0.9274886 -27.48698049 -10.75262099 25.78300754 -0.4334825 6.6396454
## 7 0.9234828 2.79109481 -19.37829157 10.04853452 4.3587775 -8.5435981
## 8 -2.5436281 8.50786896 -17.68055126 4.31828296 -9.4274060 -15.1788605
## 9 -3.2392609 -14.53915686 1.35078309 -1.15944253 10.4467645 -18.2469475
## 10 -6.3282109 -2.09606603 -8.24430948 -23.31464854 12.9809511 -14.2836494
## 11 9.6457298 -7.17570995 -6.48985822 -14.27810815 20.7789594 11.8037497
## 12 19.6620620 4.67557437 -30.07609407 -15.36729568 -8.0733457 -9.8046604
## 13 41.2023941 19.26531797 -8.63506102 -2.37823319 -9.1676234 24.4651831
## 14 45.0693093 12.05452350 20.58654604 16.85115177 17.1056592 -19.3408400
## 15 -29.8536660 -24.72635784 30.01506309 -22.09040654 -5.2578025 -8.4092562
## 16 -11.2336027 -9.60906269 5.07627230 -15.18529030 6.1121546 -5.9597708
## 17 -8.7066714 -0.12500047 15.00014880 24.23952762 -14.6792530 6.6988410
## 18 -6.6777021 -9.39165313 6.58950917 13.46592000 -8.4530506 14.7777072
## 19 11.3683922 -18.06519530 17.60639824 12.43302438 -21.2203210 8.2411447
## 20 1.4447745 0.02513843 -2.75682854 1.58450902 2.6638907 0.6631448
## 21 6.7326857 -12.67590760 6.36460948 -2.63630658 24.2006024 -18.3947634
## 22 2.7950410 0.97945308 -0.99743441 -2.90881911 -4.4964095 8.7221868
## 23 2.4322102 8.96480766 3.26566456 3.69900020 -2.9558684 7.3807056
## 24 -2.1541591 10.05164740 -0.85193392 13.00799128 -5.6012296 5.3065718
## 25 -0.6777417 1.09375773 13.59007457 4.53546990 27.9727679 0.4295279
## 26 11.6279024 -13.90697879 0.06379269 -3.87199378 -3.1716112 -1.6146309
## 27 -11.7633377 7.51969122 -29.80631864 -12.12600464 2.2566136 27.0753291
## 28 -15.5090626 6.57001828 -12.24025162 -26.75442677 -9.6691470 -26.1355923
## 29 -11.0749508 17.51374822 12.42061375 -7.45600600 -43.7374523 -3.4053080
## 30 -4.3464857 1.83785771 13.04958563 14.42659393 -23.1384343 -14.1900875
## 31 10.9233548 2.94486867 5.48524782 10.05081060 16.8669224 6.0753951
## 32 -6.5646977 5.93341514 12.79574386 16.09245861 17.2265831 -8.7747718
## 33 -7.7164417 -24.44023046 -25.54680407 14.15386012 -2.4105471 -2.9607682
## 34 -6.6637144 -20.38427183 -24.10866434 13.48486070 -3.9477204 -5.4719337
## 35 19.9118913 -36.53466208 2.66411947 -18.07211789 -4.6815714 10.1431936
## 36 11.4350190 20.58869491 2.38248074 -21.51176542 -6.0768720 12.5698064
## 37 -0.8177342 13.76333873 12.86893287 -12.42498255 11.6469621 6.1656706
## 38 12.7722421 10.32805983 13.20475832 -7.52284706 7.7556527 15.0519608
## 39 -17.2262780 24.70115261 5.36417620 4.34745981 -5.3993409 -5.6860604
## 40 11.1055405 15.94736416 -12.44936903 -4.57511893 -4.0994429 -11.4623076
## PC13 PC14 PC15 PC16 PC17 PC18
## 1 10.382425 -20.23685151 -4.6010710 -5.662949378 8.8696591 10.7636590
## 2 20.009948 6.19764786 -3.8854535 18.857960027 -5.9345514 16.5996513
## 3 1.476144 -26.70018056 -6.3303967 -15.072362756 7.9522776 -21.2526061
## 4 8.260839 8.92169343 15.0172598 9.181009767 -5.3411933 -4.1403511
## 5 -48.722943 -8.49712147 7.2296046 -6.498513959 -8.5218321 -13.6872200
## 6 4.605529 10.80962975 -1.9370162 -15.907323043 4.2115467 1.9997001
## 7 10.993360 14.70941051 -9.6464027 -5.846137256 -1.0021390 -5.2128520
## 8 7.210812 -0.03107319 -1.5514343 -6.691803619 2.8418483 4.3773496
## 9 -0.181811 -2.10161603 -0.9986700 -0.007016485 4.3033793 7.3978992
## 10 -4.199049 6.86104389 -9.6966713 20.861392917 -3.3000768 1.4409800
## 11 10.347702 -3.04056404 0.2588320 17.359266948 8.4877141 3.7647429
## 12 7.338112 -2.89923530 -10.4512713 -16.840942374 8.1188689 1.5147300
## 13 -4.724110 15.16388019 -8.6775178 12.684710639 13.7166479 -19.6041940
## 14 -14.682348 -10.07989009 16.4202666 1.170108975 -27.6443560 13.9822213
## 15 2.443615 -4.68878521 -2.9904893 -25.399862065 7.2628585 3.8618902
## 16 11.062757 -3.18537088 16.5292222 -1.868377802 -18.5275567 -6.2049813
## 17 -6.673776 17.12727510 -6.2134922 18.133056260 10.2649900 5.1042998
## 18 16.796744 8.83900537 7.9240847 5.114134153 3.4516651 -4.1979496
## 19 18.170243 -11.20301737 14.4850830 1.584596285 0.1094674 -32.8089019
## 20 3.429936 -16.32779360 2.2268558 6.103126868 -6.4199859 10.9877739
## 21 -1.410194 -1.93945596 4.5280082 27.907154739 10.9518394 -16.9653819
## 22 -2.697517 -14.72479143 -4.1402033 3.676459791 -0.1118281 4.5407698
## 23 -1.536895 -32.09656266 -2.9686419 0.051563859 5.7295269 22.7001825
## 24 -9.884840 -3.92625132 -1.1400039 -4.524643721 1.1784995 10.5716993
## 25 16.323474 21.37620261 16.1321809 -20.996547772 23.0476070 0.5577855
## 26 -9.552245 33.07799449 -18.0543083 -13.508886953 -37.6883772 -4.5161224
## 27 25.573821 -9.96620079 4.7494142 -0.442604463 -25.3692448 4.8017413
## 28 -17.512080 -1.35475670 -3.4399884 1.394634847 15.4565606 -14.9202702
## 29 -13.438531 9.34462955 -3.6913470 15.770117599 6.2396392 12.7335287
## 30 1.936784 2.14248203 -0.0360884 0.872850393 -18.7086585 -5.5420840
## 31 -15.014390 13.98184396 -5.4968034 -15.407395963 18.2175406 24.3717965
## 32 2.582105 -14.44534062 -50.0848743 3.217855898 -7.2108317 -11.5645979
## 33 -4.815252 4.91006085 10.0184308 13.432072382 3.2484689 11.6611216
## 34 -5.985446 4.42792458 5.5675135 10.827432333 1.4601952 7.3635415
## 35 -5.381634 -3.38166634 -5.0803943 3.020712942 -2.7248282 1.5876700
## 36 1.658638 6.06582023 -5.2243748 -20.657955455 -0.2459432 0.4491535
## 37 1.025565 6.33710418 -8.1620026 -4.437368428 -0.9557561 -8.0826596
## 38 -5.904430 -4.47247291 9.3518672 5.046018818 7.3758665 -9.7645090
## 39 8.801084 8.14923859 14.3096810 -6.909945573 -1.2492458 0.2481165
## 40 -18.112146 -3.14388917 29.7506126 -9.585599374 -1.5402623 -4.9173230
## PC19 PC20 PC21 PC22 PC23 PC24
## 1 -8.9843050 -0.2568009 -8.1219384 -2.3801543 3.0790325 6.3736255
## 2 -6.3421916 -13.5194798 0.7215126 7.1277163 -17.6387968 -14.9752124
## 3 19.7533341 18.6685410 3.3406108 -15.4509420 3.5723914 -14.9283409
## 4 -12.3897400 17.4646938 4.2065659 23.7308508 -13.8757244 10.5920014
## 5 -3.6913270 -11.2109919 3.9189028 0.5681244 -5.9699825 18.0221937
## 6 -18.9375283 3.0937154 -22.3263431 6.6849106 7.7366811 -5.2977699
## 7 11.8988689 -10.2074044 -3.5565476 -6.5537463 12.4515992 6.0980861
## 8 -4.7885604 -1.3462391 5.6343692 12.2505087 8.1958207 5.3404963
## 9 -1.4885321 7.1283098 -15.4655745 -3.5281985 -2.8179072 10.4067872
## 10 3.3420850 -0.4893533 -10.4596192 -15.4881191 -4.3265631 0.6876053
## 11 15.7787486 4.5177008 -5.8395443 -11.5313297 -5.7195490 -11.0560002
## 12 7.3569731 -10.8255481 24.9674078 10.5473884 -11.1246393 4.1557700
## 13 -15.0902642 5.6236444 -8.6284869 0.2913260 5.7157797 11.0315982
## 14 2.8084054 -9.5609004 17.2947725 -7.4081767 0.9647080 3.3030903
## 15 19.3240361 -5.9771364 -1.5201623 8.5760457 9.9233511 -7.6996833
## 16 -28.3639118 27.2557923 16.3498667 -20.9344736 19.2563060 -0.9705273
## 17 15.3638033 -0.1955358 24.6657839 16.2455963 21.1266018 -0.5275090
## 18 -7.4483942 -2.3635385 9.3415250 5.4671907 -3.3690174 -6.3121332
## 19 -5.7834102 -20.9953511 5.7319748 -12.6021784 -21.0579833 -11.3452123
## 20 -6.0494608 -1.2852115 0.6130267 18.6642097 10.4765600 -5.9712671
## 21 8.9886548 -21.8469609 -10.9003565 3.9739589 17.5886014 -0.0328078
## 22 -2.9962697 -5.3321513 0.7128408 1.7036746 13.1175181 9.0650976
## 23 -3.5054393 -2.9346423 -2.8625341 0.8677419 -13.3645979 1.2394907
## 24 -8.5395999 4.6475695 0.6326389 -4.2007542 8.5923598 -10.5437977
## 25 1.2009484 10.6691302 5.4187031 0.5027922 -12.1825950 17.3025828
## 26 3.5946606 -0.4505893 -2.2971767 2.1539241 -6.9546962 -22.7515409
## 27 11.4783325 -0.4102515 -6.6866229 0.9138177 7.0471814 4.9361990
## 28 -17.0508084 -5.4315167 11.6855200 -0.3913481 -8.9530002 -7.9650281
## 29 3.0268453 12.9640513 -6.7105389 -17.1260109 0.3417719 -3.1554901
## 30 22.4894648 7.8733868 -17.8316181 -0.1175261 -15.3830107 28.1839987
## 31 -7.1611468 -3.0351285 -4.0988363 -14.8527648 -7.3493888 -9.0834538
## 32 -18.5248904 4.4067783 -3.2470754 9.2124714 -6.5703924 3.4132136
## 33 6.4709425 1.7349520 9.1387592 -8.0408700 -9.2760804 0.3765344
## 34 2.3383908 1.6739053 7.0031336 -6.2545305 -7.5446763 2.6599035
## 35 0.5402548 7.7460470 5.3814560 9.1020142 2.6611341 5.3897348
## 36 6.5466252 -8.7668730 1.9289217 -7.3293128 0.5146652 7.3253317
## 37 9.4194930 2.9166478 11.7528752 -4.5907382 7.8478776 1.3076374
## 38 17.6199847 23.8575430 -5.7619531 9.7628258 -1.6936237 -12.2066519
## 39 -12.0278626 -26.0602046 -11.7882412 -12.5488028 15.4478542 6.0991416
## 40 -0.1772090 0.2594007 -22.3379977 22.9828883 -0.4855703 -18.4876938
## PC25 PC26 PC27 PC28 PC29 PC30
## 1 1.7427830 2.1026327 -19.8940420 -2.75429558 -5.8534300 -0.3143682
## 2 -4.7005542 -7.0384185 12.9504524 -10.78191257 -10.1032115 -3.2560589
## 3 -2.1095204 -1.1763404 -4.5466368 17.96171498 -4.7559058 2.4451659
## 4 26.3754459 4.7147359 -8.2919569 15.50691093 11.6803089 1.8635974
## 5 -0.3761069 -4.4211664 -8.0446471 -2.53713571 -0.3841517 -6.7892244
## 6 -1.1984125 -4.6658462 9.5878528 2.30279860 -5.4374246 -7.5225257
## 7 9.0640498 -4.6886985 11.0211499 -21.88322630 25.0984307 -3.1940147
## 8 12.5512465 7.4303607 -0.3502826 -7.13099119 5.1271850 -7.7255526
## 9 5.2362113 -11.5816924 17.0448958 21.21647355 -0.1886500 8.7706326
## 10 1.5697694 16.0062084 -13.8289271 -3.49215881 -3.3873177 21.3084337
## 11 -8.9933186 10.3462673 -7.1157220 3.42786281 -5.6943307 -5.3163063
## 12 -10.1077242 -4.9498670 -9.8364189 -3.90238457 -10.8107034 -9.3540090
## 13 -7.8523564 2.9677480 4.2439599 2.53640697 0.5829024 1.4279022
## 14 5.6037903 -6.1403677 1.0977840 2.86842817 -3.9138924 -2.4693453
## 15 4.0943606 1.7464998 0.8782478 -3.02814124 0.9493338 0.7244590
## 16 -19.3872899 -6.2090284 4.5572797 -14.56963834 3.1774711 -0.4073078
## 17 -15.6730338 4.3008390 -7.4765416 0.93575009 6.6274326 17.1092039
## 18 -5.7167584 -10.3343179 6.0017701 14.96250751 -9.3231358 10.8651383
## 19 13.2880523 2.2447792 -2.5523635 -7.93106844 7.9053385 2.6873129
## 20 -8.9539775 5.7570433 1.8739553 5.83506422 -7.6679446 -20.3342928
## 21 0.1992447 -18.1913154 1.3043948 0.05464163 -1.3205485 -6.6851706
## 22 16.7275581 12.9175753 13.1326317 -1.53768672 -17.7757180 2.6068817
## 23 -17.4825024 3.3304030 10.1798907 4.11826656 31.7687696 7.4466170
## 24 20.8631739 14.1904541 3.3264652 -16.29605630 -14.2476081 17.0732946
## 25 -5.3917262 -1.3872065 -12.1536584 -7.22991862 -6.1563584 -0.9839112
## 26 -3.9738973 8.8728997 -3.0454937 11.45658552 3.4000561 -4.6314308
## 27 6.5890090 -10.3974015 -10.0631855 1.27395112 5.2633043 5.4012083
## 28 -7.4553939 8.0833874 17.4165249 2.41272227 0.1794548 -0.7442598
## 29 9.2348679 -26.3908730 -13.2113823 1.01874768 0.7740935 -17.4528621
## 30 -19.2792220 10.3537247 11.5452833 -11.75390075 -10.6153986 -0.2862480
## 31 3.0192383 0.3156814 -3.4835761 -3.48382193 7.7206823 -1.5409177
## 32 -1.0257982 -8.5289627 -13.6852935 -7.42651403 -1.2737961 0.1397490
## 33 2.5097839 0.5440509 0.4227033 -0.09338069 -3.0128543 -3.1441940
## 34 3.3926133 0.2208376 3.4800107 -0.17637738 -1.6661700 -2.6944162
## 35 1.3938781 2.4763714 -0.7636371 7.15031337 10.1125634 4.6749957
## 36 2.2532674 -14.6525677 17.0019292 10.33070240 -7.4387306 10.8720916
## 37 8.3123198 -4.0513436 4.5882474 3.13882370 2.8619400 -0.0298255
## 38 6.4309534 15.5871203 11.2713457 -7.92800429 4.9564524 -18.8798657
## 39 -9.7397871 24.3737713 -13.4028702 17.88331700 4.1668869 -9.6203518
## 40 -11.0342370 -14.0779774 -11.1801394 -12.45537562 -1.3253256 17.9597754
## PC31 PC32 PC33 PC34 PC35 PC36
## 1 0.7392229 0.8240341 18.3377284 -4.9693360 -14.0842734 2.641823192
## 2 -5.3310559 5.6192735 -7.8232664 1.0150830 4.7571443 -1.444634896
## 3 2.3464771 -3.1078894 -4.6107417 2.7497810 5.7614019 -0.746636712
## 4 10.5586067 5.2638408 5.6670547 -4.4994210 6.9027466 2.284666197
## 5 -0.6416232 -1.1144497 1.4874385 -0.5385799 -4.9270386 3.050009133
## 6 18.4657018 6.2816303 1.2411642 -5.6300513 13.8848475 -17.317223331
## 7 -2.4889191 -10.1445704 5.1797492 -1.4066064 2.0740554 11.767789238
## 8 -0.9913807 -10.9460570 -0.7305702 3.8774439 -8.8105573 3.802633574
## 9 -31.3140950 8.1074467 -10.3289009 0.5328424 -13.7777199 1.955167089
## 10 7.8388647 -15.0281816 -1.8934256 9.7783495 -2.1499828 -21.493409795
## 11 1.7917785 0.2538712 6.2339125 -15.5435647 10.9162952 22.401422008
## 12 -2.2645966 21.1747655 -6.0367308 3.7333508 -0.7269103 -7.843996875
## 13 -3.3994934 1.3075061 -3.0402434 -2.9920445 -4.7277863 -1.096173952
## 14 8.3118214 -1.0447135 1.2547621 2.2016476 3.9067613 -0.230611108
## 15 3.9010649 1.6700509 0.8818550 1.2754767 0.2090014 0.244325519
## 16 -3.2324218 5.4439823 1.3558165 4.0156304 0.5925067 -0.114405049
## 17 -7.4931789 1.7621396 0.4775051 1.9857327 2.7331805 -4.144323391
## 18 11.4104859 -7.3503902 13.6738275 8.1807869 -13.2761144 9.771953072
## 19 -10.9315454 -5.5501490 -8.3696381 -1.4143996 2.0760668 -6.820061583
## 20 -4.6157737 -31.9581010 -13.0348274 -8.9431962 -7.8998579 -5.126962625
## 21 12.5982700 11.9254698 -0.9279571 4.1286007 -4.9221188 -0.444335690
## 22 -19.8375935 0.4513075 18.7456304 8.2548082 24.4171753 -2.226541212
## 23 6.3090603 5.6225258 7.1500232 -2.4478230 0.1984293 -5.443500627
## 24 10.9023911 13.3422544 -17.1664113 -9.2994318 -13.2575320 10.903294271
## 25 -4.8140819 -9.1205348 -3.2107145 2.1820082 3.7940292 0.199260778
## 26 -7.4839051 2.8298206 8.1109842 1.1667600 -4.2046214 2.775666799
## 27 1.8825868 5.1295454 -3.3191451 4.6649271 -3.6234702 -3.451544728
## 28 7.5589740 -3.3446081 3.1312707 -3.0868140 2.0846453 5.243700946
## 29 -0.2816572 -2.1376984 -3.6107122 1.1853505 6.8744437 -0.001777824
## 30 7.3584782 1.8447446 -3.1595211 -5.6049853 -0.3020799 1.909964627
## 31 -1.7440254 -2.0257422 -2.2949303 5.9229999 -0.1049032 -1.709562643
## 32 -2.1422900 -0.3112479 2.6521058 5.3188079 1.5592732 6.821007171
## 33 -0.7101322 -1.1154967 7.0541706 -2.3831608 -3.0419830 -0.217116626
## 34 -2.0385481 1.4471411 4.0089958 0.3484982 -2.5585811 -2.323587562
## 35 4.9611490 -1.1873226 -27.5224062 3.3604962 16.3576416 8.821286110
## 36 12.9181967 -13.4504395 1.1521312 8.0392110 0.7863998 3.341205451
## 37 -3.9475736 2.9827395 5.6554343 -34.3003018 -4.0424093 -16.661986777
## 38 0.1451256 8.0190591 4.3864174 19.7665380 -11.2277096 -6.137885537
## 39 -2.7191005 10.5705883 -5.2330746 3.7724375 1.4786129 4.377296824
## 40 -11.5752645 -2.9361451 4.4752393 -4.3978521 6.3009916 2.683806544
## PC37 PC38 PC39 PC40 Cancer Cluster
## 1 5.8093584 -1.18907511 1.12077214 3.652287e-14 RENAL 1
## 2 -3.5605464 -2.85803721 0.20932831 1.525320e-14 BREAST 1
## 3 -2.2385048 0.16186651 0.02399461 -7.960039e-14 BREAST 1
## 4 12.9312900 2.18817647 0.45778842 1.354028e-14 NSCLC 1
## 5 -0.1901342 -0.95261933 0.32715261 6.635317e-17 NSCLC 1
## 6 2.7833530 -4.06727264 -0.35101809 3.471393e-14 RENAL 1
## 7 5.9056366 17.86003253 -0.50443445 -5.407984e-14 RENAL 1
## 8 -23.4966880 -27.09686042 -0.04114654 1.667676e-14 RENAL 1
## 9 3.3557288 -0.83178130 -0.93333917 2.819641e-14 RENAL 1
## 10 -3.3307025 5.19960005 -0.16746945 2.819522e-15 RENAL 1
## 11 2.7667389 -8.73856796 3.03745219 6.038139e-15 RENAL 1
## 12 2.7716556 9.37153100 -0.64147322 3.884913e-15 RENAL 1
## 13 -0.2946957 0.07876246 -0.49016155 1.973156e-14 BREAST 1
## 14 -2.9776534 1.15764647 0.22288848 6.330526e-14 NSCLC 1
## 15 0.9982860 2.31291233 0.67593017 4.923313e-14 RENAL 1
## 16 3.3036504 -3.10146912 -0.09793988 1.496719e-14 MELANOMA 1
## 17 11.5837889 -8.82500432 0.99877943 1.329861e-14 NSCLC 1
## 18 -18.9126746 17.52370516 -0.36665725 3.019330e-14 NSCLC 1
## 19 5.5854694 -5.69808985 0.17466729 -1.651270e-13 NSCLC 1
## 20 12.1707871 8.48712769 0.67973902 -4.300813e-15 COLON 2
## 21 0.3385446 -5.83754476 -0.21293025 3.290293e-14 COLON 2
## 22 -4.0560325 4.42151987 -0.97133272 -1.866909e-14 COLON 2
## 23 -2.3617188 -0.81874533 -0.11917954 6.357241e-14 COLON 2
## 24 5.4199815 3.91802986 -0.21458698 3.245191e-14 COLON 2
## 25 -1.4514957 -0.48002348 0.41186831 2.486292e-15 COLON 2
## 26 1.0179611 -4.18063938 -0.02757616 -1.983093e-14 COLON 2
## 27 0.9708069 -3.22393746 -0.01597679 -1.675656e-14 BREAST 2
## 28 1.4961966 -0.31485625 -0.77471788 2.319889e-14 BREAST 2
## 29 -2.9551536 3.27249806 -0.15476970 1.251560e-14 NSCLC 2
## 30 -2.8569881 -0.61588528 -0.55916158 6.762299e-14 NSCLC 1
## 31 -1.4958452 -0.56406809 0.14326041 -1.018942e-13 NSCLC 1
## 32 1.3895813 0.17428423 -1.36336421 2.330167e-15 MELANOMA 3
## 33 4.9527655 -2.75017950 -22.62075110 -7.769615e-14 BREAST 3
## 34 1.0830945 0.63420693 25.52064720 5.010879e-14 BREAST 3
## 35 -13.9723966 5.17013951 -1.49320420 -2.169966e-14 MELANOMA 1
## 36 16.6222088 -12.90971254 0.65225703 -1.731276e-14 MELANOMA 3
## 37 -13.9718102 3.15276677 -0.68821410 -8.026978e-14 MELANOMA 3
## 38 0.8910633 2.81106426 -0.76421494 -1.094957e-14 MELANOMA 3
## 39 -1.9611237 5.13506540 -0.94888001 2.182716e-15 MELANOMA 3
## 40 -4.0637834 2.02343378 -0.13402585 2.621731e-14 MELANOMA 3CS_PCA_FULL$Algorithm <- rep("HM_AGNES",nrow(CS_PCA_FULL))
table(CS_PCA_FULL$Cancer, CS_PCA_FULL$Cluster)##
## 1 2 3
## BREAST 3 2 2
## RENAL 9 0 0
## MELANOMA 2 0 6
## NSCLC 8 1 0
## COLON 0 7 0HM_AGNES_PCA_FULL <- CS_PCA_FULL
##################################
# Plotting the best PCA components
# grouped by cluster
##################################
HM_AGNES_ClusterPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cluster,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "HM_AGNES BY CLUSTER")
##################################
# Plotting the best PCA components
# grouped by cancer
##################################
HM_AGNES_CancerPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cancer,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "HM_AGNES BY CANCER")
grid.arrange(HM_AGNES_ClusterPlot,
HM_AGNES_CancerPlot,
ncol = 1)
1.5.6 Hierarchical Method - Divisive Analysis Clustering (HM_DIANA)
Divisive Analysis Clustering computes a divisive hierarchical clustering of the dataset the data set. The algorithm constructs a hierarchy of clusterings, starting with one large cluster containing all observations. Clusters are divided until each cluster contains only a single observation. At each stage, the cluster with the largest diameter is selected (the diameter of a cluster is the largest dissimilarity between any two of its observations). To divide the selected cluster, the algorithm first looks for its most disparate observation (i.e., which has the largest average dissimilarity to the other observations of the selected cluster). This observation initiates the splinter group. In subsequent steps, the algorithm reassigns observations that are closer to the splinter group than to the original group, resulting to the division of the selected cluster into two new clusters.
[A] The divisive analysis clustering algorithm was implemented only for descriptors using the cluster package.
[B] The optimal number of clusters was 3 as determined using the average silhouette width, total within sum of squares and gap statistic.
[C] Using a fixed number of clusters equal to 3, the average silhouette width was determined to be 0.06662.
[D] The derived clusters were not sufficiently informative after applying principal component analysis on the given analysis data.
Code Chunk | Output
##################################
# Loading dataset
##################################
CS <- EDA
CS.Numeric <- CS[,sapply(CS, is.numeric)]
row.names(CS.Numeric) <- c("RENAL.1","BREAST.1","BREAST.2","NSCLC.1","NSCLC.2","RENAL.2","RENAL.3","RENAL.4",
"RENAL.5","RENAL.6","RENAL.7","RENAL.8","BREAST.3","NSCLC.3","RENAL.9","MELANOMA.1",
"NSCLC.4","NSCLC.5","NSCLC.6","COLON.1","COLON.2","COLON.3","COLON.4","COLON.5",
"COLON.6","COLON.7","BREAST.4","BREAST.5","NSCLC.7","NSCLC.8","NSCLC.9","MELANOMA.2",
"BREAST.6","BREAST.7","MELANOMA.3","MELANOMA.4","MELANOMA.5","MELANOMA.6","MELANOMA.7","MELANOMA.8")
##################################
# Evaluating for optimal number of clusters
# using the silhouette method
##################################
CS_HM_DIANA_OptimalKPlot_Silhouette <- fviz_nbclust(CS.Numeric,
hcut,
method = "silhouette",
k.max = 5) +
labs(title = "HM_DIANA : Optimal Number of Clusters",
subtitle = "Silhouette Method",
y = "Average Silhouette Width",
x = "Number of Clusters") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the elbow method
#################################
CS_HM_DIANA_OptimalKPlot_Elbow <- fviz_nbclust(CS.Numeric,
hcut,
method = "wss",
k.max = 5) +
labs(title = "HM_DIANA : Optimal Number of Clusters",
subtitle = "Elbow Method",
y = "Total Within Sum of Squares",
x = "Number of Clusters") +
geom_vline(xintercept = 3, linetype = 2, color="steelblue") +
theme_classic()
##################################
# Evaluating for optimal number of clusters
# using the gap statistic method
#################################
set.seed(12345678)
CS_HM_DIANA_OptimalKPlot_Gap <- fviz_nbclust(CS.Numeric,
hcut,
method = "gap_stat",
k.max = 5,
nboot = 50) +
labs(title = "HM_DIANA : Optimal Number of Clusters",
subtitle = "Gap Statistic Method",
y = "Gap Statistic",
x = "Number of Clusters") +
theme_classic()
##################################
# Performing divisive analysis clustering
##################################
set.seed(12345678)
CS_HM_DIANA <- hcut(CS.Numeric, k=3, hc_func = c("diana"))
##################################
# Measuring the silhouette metric
##################################
CS_HM_DIANA_Silhouette <- silhouette(CS_HM_DIANA$cluster, dist(CS.Numeric))
CS_HM_DIANA_SilhouettePlot <- fviz_silhouette(CS_HM_DIANA_Silhouette) +
labs(title = "HM_DIANA : Clusters Silhouette Plot",
subtitle = "Average Silhouette Width : 0.06662",
y = "Silhouette Width",
x = "Observation Indices") +
theme_classic() +
theme(legend.position="top")## cluster size ave.sil.width
## 1 1 24 0.06
## 2 2 2 0.03
## 3 3 14 0.08CS_HM_DIANA_Silhouette_Summary <- summary(CS_HM_DIANA_Silhouette)
(SI_CS_HM_DIANA <- CS_HM_DIANA_Silhouette_Summary$avg.width)## [1] 0.06662861##################################
# Gathering all optimal k assessment plots
##################################
grid.arrange(CS_HM_DIANA_OptimalKPlot_Silhouette,
CS_HM_DIANA_SilhouettePlot,
CS_HM_DIANA_OptimalKPlot_Elbow,
CS_HM_DIANA_OptimalKPlot_Gap,
ncol = 2)
##################################
# Formulating the dendrogram
# for hierarchical methods
##################################
fviz_dend(CS_HM_DIANA, rect = TRUE) +
labs(title = "HM_DIANA : Dendrogram") +
theme_classic() +
theme(legend.position="top")
##################################
# Performing PCA
##################################
CS_PCA <- prcomp(CS.Numeric)
##################################
# Consolidating the PCA components
##################################
rownames(CS_PCA$x) <- NULL
CS_PCA$x <- as.data.frame(CS_PCA$x)
Cancer <- EDA$Cancer
Cluster <- CS_HM_DIANA$cluster
(CS_PCA_FULL <- cbind(CS_PCA$x, Cancer, Cluster))## PC1 PC2 PC3 PC4 PC5 PC6
## 1 -40.8088245 -14.8802016 16.2459556 -38.2817266 18.1630030 -28.38092369
## 2 -51.5500146 -29.2010472 -0.5245907 -12.1207332 26.0534755 -25.27229319
## 3 -13.7635414 -25.2137671 -5.6819200 -8.2167216 17.7958711 -29.88953860
## 4 -2.7640149 -22.8663818 -13.9921760 7.1696449 -14.1402050 -19.45218485
## 5 -8.0261033 -38.9617762 12.4668341 0.9197449 -1.8134715 -2.26985385
## 6 -12.7372495 -25.9637086 19.1805968 -8.4279248 -3.2445344 25.02563649
## 7 -21.9954671 -31.0022753 15.9591389 -6.1391468 5.0465695 -3.06337353
## 8 -3.5532030 -25.4031521 4.1969862 12.6052057 -7.5792539 1.93151980
## 9 -5.5173770 -28.1191530 12.0951125 -5.8165800 -7.1408449 18.89411731
## 10 -8.3719563 -30.9582948 12.1046523 11.9305480 -2.7731281 7.02976483
## 11 2.8959718 -30.7837695 5.7349344 11.5550413 -22.9080066 27.27080813
## 12 5.3069387 -29.6107020 8.7054161 18.3579936 -22.4206274 1.50429918
## 13 -5.0598254 -25.8998936 -54.4733676 17.7548313 32.0110649 2.77045873
## 14 -17.9460560 -22.5915590 -12.2095525 -14.1508590 17.5997336 30.86139578
## 15 -7.4957997 -17.1959802 -58.6154816 27.0855829 18.5751455 18.90020279
## 16 -0.8344225 -8.2907519 -5.3795389 15.2128747 -14.4609872 -12.30310119
## 17 -3.4001679 -10.1847753 10.1721991 -22.3844409 -8.7377302 9.73566901
## 18 12.3958164 -8.9193957 2.3597897 5.2428604 -20.4635629 7.93441731
## 19 13.3276062 -0.4863236 0.7172494 3.5771746 -14.5121517 8.56196542
## 20 26.9589559 4.2711378 -4.3513678 7.0075103 -8.6872749 -6.84016580
## 21 47.5798084 15.4914785 3.1841573 5.8903455 0.6073829 -32.67820562
## 22 41.9787114 6.5593316 0.9338801 4.9008842 -2.1785079 -13.21767689
## 23 44.5262442 2.2667709 16.0939759 29.2312602 15.9169504 -2.65785991
## 24 36.4902492 7.3146133 16.6755272 13.2383511 8.1584545 0.91006347
## 25 50.6448684 21.4378836 23.1875409 -3.7118217 39.7015977 4.89534872
## 26 44.0862657 -1.5644816 13.6732504 6.0656819 20.7716645 -20.19369435
## 27 40.6519776 24.5172410 -25.5387128 -45.3738586 4.1080822 22.02405897
## 28 22.9713315 15.4143701 -4.1500573 -57.9832651 13.2374617 19.95380457
## 29 27.4545511 -4.6446282 14.0078407 7.8443574 4.5409616 12.51326434
## 30 12.6757981 3.6075173 -13.6707020 -12.1398310 -22.0718987 -13.70154630
## 31 16.0267350 7.2540219 -45.4669794 -28.7616875 -50.0669119 -27.03728367
## 32 -16.4591771 50.0771824 -5.0036369 10.2645856 -8.1953325 24.23590930
## 33 -30.5924194 46.8761625 -17.2970209 18.4140507 14.2181976 -0.90455426
## 34 -27.8580043 51.3894656 -13.9635438 15.3067843 13.1229292 -1.28602988
## 35 -31.2608825 25.5338769 13.2461364 -11.1975320 3.6387321 -17.93583214
## 36 -32.2158242 32.3561935 20.2693105 21.2179617 -12.1283413 -7.49570716
## 37 -18.5667828 36.8335927 8.7781170 -2.8270593 -12.1850200 -3.32272881
## 38 -28.3150641 23.2440163 20.8873335 -7.9899270 -8.3931369 15.96654936
## 39 -33.8196803 35.0235655 8.7515386 7.4968066 -2.5206323 6.88371944
## 40 -23.0599717 23.2735969 0.6911745 7.2330330 -6.6457172 0.09958072
## PC7 PC8 PC9 PC10 PC11 PC12
## 1 21.9360840 -21.49289800 12.42489224 -11.45580794 -18.8168144 0.4383544
## 2 -27.2267499 22.01112313 11.51452613 -3.19298911 10.0738688 12.8829960
## 3 -12.6913892 18.26969226 -14.47083048 29.55837428 4.3695447 -7.5227353
## 4 -12.0648147 14.47134018 3.70496393 -3.72829937 4.1428596 -13.4388944
## 5 -34.9803273 -8.15941746 -2.90368131 -0.06992716 13.9552117 33.2943222
## 6 -0.9274886 -27.48698049 -10.75262099 25.78300754 -0.4334825 6.6396454
## 7 0.9234828 2.79109481 -19.37829157 10.04853452 4.3587775 -8.5435981
## 8 -2.5436281 8.50786896 -17.68055126 4.31828296 -9.4274060 -15.1788605
## 9 -3.2392609 -14.53915686 1.35078309 -1.15944253 10.4467645 -18.2469475
## 10 -6.3282109 -2.09606603 -8.24430948 -23.31464854 12.9809511 -14.2836494
## 11 9.6457298 -7.17570995 -6.48985822 -14.27810815 20.7789594 11.8037497
## 12 19.6620620 4.67557437 -30.07609407 -15.36729568 -8.0733457 -9.8046604
## 13 41.2023941 19.26531797 -8.63506102 -2.37823319 -9.1676234 24.4651831
## 14 45.0693093 12.05452350 20.58654604 16.85115177 17.1056592 -19.3408400
## 15 -29.8536660 -24.72635784 30.01506309 -22.09040654 -5.2578025 -8.4092562
## 16 -11.2336027 -9.60906269 5.07627230 -15.18529030 6.1121546 -5.9597708
## 17 -8.7066714 -0.12500047 15.00014880 24.23952762 -14.6792530 6.6988410
## 18 -6.6777021 -9.39165313 6.58950917 13.46592000 -8.4530506 14.7777072
## 19 11.3683922 -18.06519530 17.60639824 12.43302438 -21.2203210 8.2411447
## 20 1.4447745 0.02513843 -2.75682854 1.58450902 2.6638907 0.6631448
## 21 6.7326857 -12.67590760 6.36460948 -2.63630658 24.2006024 -18.3947634
## 22 2.7950410 0.97945308 -0.99743441 -2.90881911 -4.4964095 8.7221868
## 23 2.4322102 8.96480766 3.26566456 3.69900020 -2.9558684 7.3807056
## 24 -2.1541591 10.05164740 -0.85193392 13.00799128 -5.6012296 5.3065718
## 25 -0.6777417 1.09375773 13.59007457 4.53546990 27.9727679 0.4295279
## 26 11.6279024 -13.90697879 0.06379269 -3.87199378 -3.1716112 -1.6146309
## 27 -11.7633377 7.51969122 -29.80631864 -12.12600464 2.2566136 27.0753291
## 28 -15.5090626 6.57001828 -12.24025162 -26.75442677 -9.6691470 -26.1355923
## 29 -11.0749508 17.51374822 12.42061375 -7.45600600 -43.7374523 -3.4053080
## 30 -4.3464857 1.83785771 13.04958563 14.42659393 -23.1384343 -14.1900875
## 31 10.9233548 2.94486867 5.48524782 10.05081060 16.8669224 6.0753951
## 32 -6.5646977 5.93341514 12.79574386 16.09245861 17.2265831 -8.7747718
## 33 -7.7164417 -24.44023046 -25.54680407 14.15386012 -2.4105471 -2.9607682
## 34 -6.6637144 -20.38427183 -24.10866434 13.48486070 -3.9477204 -5.4719337
## 35 19.9118913 -36.53466208 2.66411947 -18.07211789 -4.6815714 10.1431936
## 36 11.4350190 20.58869491 2.38248074 -21.51176542 -6.0768720 12.5698064
## 37 -0.8177342 13.76333873 12.86893287 -12.42498255 11.6469621 6.1656706
## 38 12.7722421 10.32805983 13.20475832 -7.52284706 7.7556527 15.0519608
## 39 -17.2262780 24.70115261 5.36417620 4.34745981 -5.3993409 -5.6860604
## 40 11.1055405 15.94736416 -12.44936903 -4.57511893 -4.0994429 -11.4623076
## PC13 PC14 PC15 PC16 PC17 PC18
## 1 10.382425 -20.23685151 -4.6010710 -5.662949378 8.8696591 10.7636590
## 2 20.009948 6.19764786 -3.8854535 18.857960027 -5.9345514 16.5996513
## 3 1.476144 -26.70018056 -6.3303967 -15.072362756 7.9522776 -21.2526061
## 4 8.260839 8.92169343 15.0172598 9.181009767 -5.3411933 -4.1403511
## 5 -48.722943 -8.49712147 7.2296046 -6.498513959 -8.5218321 -13.6872200
## 6 4.605529 10.80962975 -1.9370162 -15.907323043 4.2115467 1.9997001
## 7 10.993360 14.70941051 -9.6464027 -5.846137256 -1.0021390 -5.2128520
## 8 7.210812 -0.03107319 -1.5514343 -6.691803619 2.8418483 4.3773496
## 9 -0.181811 -2.10161603 -0.9986700 -0.007016485 4.3033793 7.3978992
## 10 -4.199049 6.86104389 -9.6966713 20.861392917 -3.3000768 1.4409800
## 11 10.347702 -3.04056404 0.2588320 17.359266948 8.4877141 3.7647429
## 12 7.338112 -2.89923530 -10.4512713 -16.840942374 8.1188689 1.5147300
## 13 -4.724110 15.16388019 -8.6775178 12.684710639 13.7166479 -19.6041940
## 14 -14.682348 -10.07989009 16.4202666 1.170108975 -27.6443560 13.9822213
## 15 2.443615 -4.68878521 -2.9904893 -25.399862065 7.2628585 3.8618902
## 16 11.062757 -3.18537088 16.5292222 -1.868377802 -18.5275567 -6.2049813
## 17 -6.673776 17.12727510 -6.2134922 18.133056260 10.2649900 5.1042998
## 18 16.796744 8.83900537 7.9240847 5.114134153 3.4516651 -4.1979496
## 19 18.170243 -11.20301737 14.4850830 1.584596285 0.1094674 -32.8089019
## 20 3.429936 -16.32779360 2.2268558 6.103126868 -6.4199859 10.9877739
## 21 -1.410194 -1.93945596 4.5280082 27.907154739 10.9518394 -16.9653819
## 22 -2.697517 -14.72479143 -4.1402033 3.676459791 -0.1118281 4.5407698
## 23 -1.536895 -32.09656266 -2.9686419 0.051563859 5.7295269 22.7001825
## 24 -9.884840 -3.92625132 -1.1400039 -4.524643721 1.1784995 10.5716993
## 25 16.323474 21.37620261 16.1321809 -20.996547772 23.0476070 0.5577855
## 26 -9.552245 33.07799449 -18.0543083 -13.508886953 -37.6883772 -4.5161224
## 27 25.573821 -9.96620079 4.7494142 -0.442604463 -25.3692448 4.8017413
## 28 -17.512080 -1.35475670 -3.4399884 1.394634847 15.4565606 -14.9202702
## 29 -13.438531 9.34462955 -3.6913470 15.770117599 6.2396392 12.7335287
## 30 1.936784 2.14248203 -0.0360884 0.872850393 -18.7086585 -5.5420840
## 31 -15.014390 13.98184396 -5.4968034 -15.407395963 18.2175406 24.3717965
## 32 2.582105 -14.44534062 -50.0848743 3.217855898 -7.2108317 -11.5645979
## 33 -4.815252 4.91006085 10.0184308 13.432072382 3.2484689 11.6611216
## 34 -5.985446 4.42792458 5.5675135 10.827432333 1.4601952 7.3635415
## 35 -5.381634 -3.38166634 -5.0803943 3.020712942 -2.7248282 1.5876700
## 36 1.658638 6.06582023 -5.2243748 -20.657955455 -0.2459432 0.4491535
## 37 1.025565 6.33710418 -8.1620026 -4.437368428 -0.9557561 -8.0826596
## 38 -5.904430 -4.47247291 9.3518672 5.046018818 7.3758665 -9.7645090
## 39 8.801084 8.14923859 14.3096810 -6.909945573 -1.2492458 0.2481165
## 40 -18.112146 -3.14388917 29.7506126 -9.585599374 -1.5402623 -4.9173230
## PC19 PC20 PC21 PC22 PC23 PC24
## 1 -8.9843050 -0.2568009 -8.1219384 -2.3801543 3.0790325 6.3736255
## 2 -6.3421916 -13.5194798 0.7215126 7.1277163 -17.6387968 -14.9752124
## 3 19.7533341 18.6685410 3.3406108 -15.4509420 3.5723914 -14.9283409
## 4 -12.3897400 17.4646938 4.2065659 23.7308508 -13.8757244 10.5920014
## 5 -3.6913270 -11.2109919 3.9189028 0.5681244 -5.9699825 18.0221937
## 6 -18.9375283 3.0937154 -22.3263431 6.6849106 7.7366811 -5.2977699
## 7 11.8988689 -10.2074044 -3.5565476 -6.5537463 12.4515992 6.0980861
## 8 -4.7885604 -1.3462391 5.6343692 12.2505087 8.1958207 5.3404963
## 9 -1.4885321 7.1283098 -15.4655745 -3.5281985 -2.8179072 10.4067872
## 10 3.3420850 -0.4893533 -10.4596192 -15.4881191 -4.3265631 0.6876053
## 11 15.7787486 4.5177008 -5.8395443 -11.5313297 -5.7195490 -11.0560002
## 12 7.3569731 -10.8255481 24.9674078 10.5473884 -11.1246393 4.1557700
## 13 -15.0902642 5.6236444 -8.6284869 0.2913260 5.7157797 11.0315982
## 14 2.8084054 -9.5609004 17.2947725 -7.4081767 0.9647080 3.3030903
## 15 19.3240361 -5.9771364 -1.5201623 8.5760457 9.9233511 -7.6996833
## 16 -28.3639118 27.2557923 16.3498667 -20.9344736 19.2563060 -0.9705273
## 17 15.3638033 -0.1955358 24.6657839 16.2455963 21.1266018 -0.5275090
## 18 -7.4483942 -2.3635385 9.3415250 5.4671907 -3.3690174 -6.3121332
## 19 -5.7834102 -20.9953511 5.7319748 -12.6021784 -21.0579833 -11.3452123
## 20 -6.0494608 -1.2852115 0.6130267 18.6642097 10.4765600 -5.9712671
## 21 8.9886548 -21.8469609 -10.9003565 3.9739589 17.5886014 -0.0328078
## 22 -2.9962697 -5.3321513 0.7128408 1.7036746 13.1175181 9.0650976
## 23 -3.5054393 -2.9346423 -2.8625341 0.8677419 -13.3645979 1.2394907
## 24 -8.5395999 4.6475695 0.6326389 -4.2007542 8.5923598 -10.5437977
## 25 1.2009484 10.6691302 5.4187031 0.5027922 -12.1825950 17.3025828
## 26 3.5946606 -0.4505893 -2.2971767 2.1539241 -6.9546962 -22.7515409
## 27 11.4783325 -0.4102515 -6.6866229 0.9138177 7.0471814 4.9361990
## 28 -17.0508084 -5.4315167 11.6855200 -0.3913481 -8.9530002 -7.9650281
## 29 3.0268453 12.9640513 -6.7105389 -17.1260109 0.3417719 -3.1554901
## 30 22.4894648 7.8733868 -17.8316181 -0.1175261 -15.3830107 28.1839987
## 31 -7.1611468 -3.0351285 -4.0988363 -14.8527648 -7.3493888 -9.0834538
## 32 -18.5248904 4.4067783 -3.2470754 9.2124714 -6.5703924 3.4132136
## 33 6.4709425 1.7349520 9.1387592 -8.0408700 -9.2760804 0.3765344
## 34 2.3383908 1.6739053 7.0031336 -6.2545305 -7.5446763 2.6599035
## 35 0.5402548 7.7460470 5.3814560 9.1020142 2.6611341 5.3897348
## 36 6.5466252 -8.7668730 1.9289217 -7.3293128 0.5146652 7.3253317
## 37 9.4194930 2.9166478 11.7528752 -4.5907382 7.8478776 1.3076374
## 38 17.6199847 23.8575430 -5.7619531 9.7628258 -1.6936237 -12.2066519
## 39 -12.0278626 -26.0602046 -11.7882412 -12.5488028 15.4478542 6.0991416
## 40 -0.1772090 0.2594007 -22.3379977 22.9828883 -0.4855703 -18.4876938
## PC25 PC26 PC27 PC28 PC29 PC30
## 1 1.7427830 2.1026327 -19.8940420 -2.75429558 -5.8534300 -0.3143682
## 2 -4.7005542 -7.0384185 12.9504524 -10.78191257 -10.1032115 -3.2560589
## 3 -2.1095204 -1.1763404 -4.5466368 17.96171498 -4.7559058 2.4451659
## 4 26.3754459 4.7147359 -8.2919569 15.50691093 11.6803089 1.8635974
## 5 -0.3761069 -4.4211664 -8.0446471 -2.53713571 -0.3841517 -6.7892244
## 6 -1.1984125 -4.6658462 9.5878528 2.30279860 -5.4374246 -7.5225257
## 7 9.0640498 -4.6886985 11.0211499 -21.88322630 25.0984307 -3.1940147
## 8 12.5512465 7.4303607 -0.3502826 -7.13099119 5.1271850 -7.7255526
## 9 5.2362113 -11.5816924 17.0448958 21.21647355 -0.1886500 8.7706326
## 10 1.5697694 16.0062084 -13.8289271 -3.49215881 -3.3873177 21.3084337
## 11 -8.9933186 10.3462673 -7.1157220 3.42786281 -5.6943307 -5.3163063
## 12 -10.1077242 -4.9498670 -9.8364189 -3.90238457 -10.8107034 -9.3540090
## 13 -7.8523564 2.9677480 4.2439599 2.53640697 0.5829024 1.4279022
## 14 5.6037903 -6.1403677 1.0977840 2.86842817 -3.9138924 -2.4693453
## 15 4.0943606 1.7464998 0.8782478 -3.02814124 0.9493338 0.7244590
## 16 -19.3872899 -6.2090284 4.5572797 -14.56963834 3.1774711 -0.4073078
## 17 -15.6730338 4.3008390 -7.4765416 0.93575009 6.6274326 17.1092039
## 18 -5.7167584 -10.3343179 6.0017701 14.96250751 -9.3231358 10.8651383
## 19 13.2880523 2.2447792 -2.5523635 -7.93106844 7.9053385 2.6873129
## 20 -8.9539775 5.7570433 1.8739553 5.83506422 -7.6679446 -20.3342928
## 21 0.1992447 -18.1913154 1.3043948 0.05464163 -1.3205485 -6.6851706
## 22 16.7275581 12.9175753 13.1326317 -1.53768672 -17.7757180 2.6068817
## 23 -17.4825024 3.3304030 10.1798907 4.11826656 31.7687696 7.4466170
## 24 20.8631739 14.1904541 3.3264652 -16.29605630 -14.2476081 17.0732946
## 25 -5.3917262 -1.3872065 -12.1536584 -7.22991862 -6.1563584 -0.9839112
## 26 -3.9738973 8.8728997 -3.0454937 11.45658552 3.4000561 -4.6314308
## 27 6.5890090 -10.3974015 -10.0631855 1.27395112 5.2633043 5.4012083
## 28 -7.4553939 8.0833874 17.4165249 2.41272227 0.1794548 -0.7442598
## 29 9.2348679 -26.3908730 -13.2113823 1.01874768 0.7740935 -17.4528621
## 30 -19.2792220 10.3537247 11.5452833 -11.75390075 -10.6153986 -0.2862480
## 31 3.0192383 0.3156814 -3.4835761 -3.48382193 7.7206823 -1.5409177
## 32 -1.0257982 -8.5289627 -13.6852935 -7.42651403 -1.2737961 0.1397490
## 33 2.5097839 0.5440509 0.4227033 -0.09338069 -3.0128543 -3.1441940
## 34 3.3926133 0.2208376 3.4800107 -0.17637738 -1.6661700 -2.6944162
## 35 1.3938781 2.4763714 -0.7636371 7.15031337 10.1125634 4.6749957
## 36 2.2532674 -14.6525677 17.0019292 10.33070240 -7.4387306 10.8720916
## 37 8.3123198 -4.0513436 4.5882474 3.13882370 2.8619400 -0.0298255
## 38 6.4309534 15.5871203 11.2713457 -7.92800429 4.9564524 -18.8798657
## 39 -9.7397871 24.3737713 -13.4028702 17.88331700 4.1668869 -9.6203518
## 40 -11.0342370 -14.0779774 -11.1801394 -12.45537562 -1.3253256 17.9597754
## PC31 PC32 PC33 PC34 PC35 PC36
## 1 0.7392229 0.8240341 18.3377284 -4.9693360 -14.0842734 2.641823192
## 2 -5.3310559 5.6192735 -7.8232664 1.0150830 4.7571443 -1.444634896
## 3 2.3464771 -3.1078894 -4.6107417 2.7497810 5.7614019 -0.746636712
## 4 10.5586067 5.2638408 5.6670547 -4.4994210 6.9027466 2.284666197
## 5 -0.6416232 -1.1144497 1.4874385 -0.5385799 -4.9270386 3.050009133
## 6 18.4657018 6.2816303 1.2411642 -5.6300513 13.8848475 -17.317223331
## 7 -2.4889191 -10.1445704 5.1797492 -1.4066064 2.0740554 11.767789238
## 8 -0.9913807 -10.9460570 -0.7305702 3.8774439 -8.8105573 3.802633574
## 9 -31.3140950 8.1074467 -10.3289009 0.5328424 -13.7777199 1.955167089
## 10 7.8388647 -15.0281816 -1.8934256 9.7783495 -2.1499828 -21.493409795
## 11 1.7917785 0.2538712 6.2339125 -15.5435647 10.9162952 22.401422008
## 12 -2.2645966 21.1747655 -6.0367308 3.7333508 -0.7269103 -7.843996875
## 13 -3.3994934 1.3075061 -3.0402434 -2.9920445 -4.7277863 -1.096173952
## 14 8.3118214 -1.0447135 1.2547621 2.2016476 3.9067613 -0.230611108
## 15 3.9010649 1.6700509 0.8818550 1.2754767 0.2090014 0.244325519
## 16 -3.2324218 5.4439823 1.3558165 4.0156304 0.5925067 -0.114405049
## 17 -7.4931789 1.7621396 0.4775051 1.9857327 2.7331805 -4.144323391
## 18 11.4104859 -7.3503902 13.6738275 8.1807869 -13.2761144 9.771953072
## 19 -10.9315454 -5.5501490 -8.3696381 -1.4143996 2.0760668 -6.820061583
## 20 -4.6157737 -31.9581010 -13.0348274 -8.9431962 -7.8998579 -5.126962625
## 21 12.5982700 11.9254698 -0.9279571 4.1286007 -4.9221188 -0.444335690
## 22 -19.8375935 0.4513075 18.7456304 8.2548082 24.4171753 -2.226541212
## 23 6.3090603 5.6225258 7.1500232 -2.4478230 0.1984293 -5.443500627
## 24 10.9023911 13.3422544 -17.1664113 -9.2994318 -13.2575320 10.903294271
## 25 -4.8140819 -9.1205348 -3.2107145 2.1820082 3.7940292 0.199260778
## 26 -7.4839051 2.8298206 8.1109842 1.1667600 -4.2046214 2.775666799
## 27 1.8825868 5.1295454 -3.3191451 4.6649271 -3.6234702 -3.451544728
## 28 7.5589740 -3.3446081 3.1312707 -3.0868140 2.0846453 5.243700946
## 29 -0.2816572 -2.1376984 -3.6107122 1.1853505 6.8744437 -0.001777824
## 30 7.3584782 1.8447446 -3.1595211 -5.6049853 -0.3020799 1.909964627
## 31 -1.7440254 -2.0257422 -2.2949303 5.9229999 -0.1049032 -1.709562643
## 32 -2.1422900 -0.3112479 2.6521058 5.3188079 1.5592732 6.821007171
## 33 -0.7101322 -1.1154967 7.0541706 -2.3831608 -3.0419830 -0.217116626
## 34 -2.0385481 1.4471411 4.0089958 0.3484982 -2.5585811 -2.323587562
## 35 4.9611490 -1.1873226 -27.5224062 3.3604962 16.3576416 8.821286110
## 36 12.9181967 -13.4504395 1.1521312 8.0392110 0.7863998 3.341205451
## 37 -3.9475736 2.9827395 5.6554343 -34.3003018 -4.0424093 -16.661986777
## 38 0.1451256 8.0190591 4.3864174 19.7665380 -11.2277096 -6.137885537
## 39 -2.7191005 10.5705883 -5.2330746 3.7724375 1.4786129 4.377296824
## 40 -11.5752645 -2.9361451 4.4752393 -4.3978521 6.3009916 2.683806544
## PC37 PC38 PC39 PC40 Cancer Cluster
## 1 5.8093584 -1.18907511 1.12077214 3.652287e-14 RENAL 1
## 2 -3.5605464 -2.85803721 0.20932831 1.525320e-14 BREAST 1
## 3 -2.2385048 0.16186651 0.02399461 -7.960039e-14 BREAST 1
## 4 12.9312900 2.18817647 0.45778842 1.354028e-14 NSCLC 1
## 5 -0.1901342 -0.95261933 0.32715261 6.635317e-17 NSCLC 1
## 6 2.7833530 -4.06727264 -0.35101809 3.471393e-14 RENAL 1
## 7 5.9056366 17.86003253 -0.50443445 -5.407984e-14 RENAL 1
## 8 -23.4966880 -27.09686042 -0.04114654 1.667676e-14 RENAL 1
## 9 3.3557288 -0.83178130 -0.93333917 2.819641e-14 RENAL 1
## 10 -3.3307025 5.19960005 -0.16746945 2.819522e-15 RENAL 1
## 11 2.7667389 -8.73856796 3.03745219 6.038139e-15 RENAL 1
## 12 2.7716556 9.37153100 -0.64147322 3.884913e-15 RENAL 1
## 13 -0.2946957 0.07876246 -0.49016155 1.973156e-14 BREAST 2
## 14 -2.9776534 1.15764647 0.22288848 6.330526e-14 NSCLC 1
## 15 0.9982860 2.31291233 0.67593017 4.923313e-14 RENAL 2
## 16 3.3036504 -3.10146912 -0.09793988 1.496719e-14 MELANOMA 1
## 17 11.5837889 -8.82500432 0.99877943 1.329861e-14 NSCLC 1
## 18 -18.9126746 17.52370516 -0.36665725 3.019330e-14 NSCLC 3
## 19 5.5854694 -5.69808985 0.17466729 -1.651270e-13 NSCLC 3
## 20 12.1707871 8.48712769 0.67973902 -4.300813e-15 COLON 3
## 21 0.3385446 -5.83754476 -0.21293025 3.290293e-14 COLON 3
## 22 -4.0560325 4.42151987 -0.97133272 -1.866909e-14 COLON 3
## 23 -2.3617188 -0.81874533 -0.11917954 6.357241e-14 COLON 3
## 24 5.4199815 3.91802986 -0.21458698 3.245191e-14 COLON 3
## 25 -1.4514957 -0.48002348 0.41186831 2.486292e-15 COLON 3
## 26 1.0179611 -4.18063938 -0.02757616 -1.983093e-14 COLON 3
## 27 0.9708069 -3.22393746 -0.01597679 -1.675656e-14 BREAST 3
## 28 1.4961966 -0.31485625 -0.77471788 2.319889e-14 BREAST 3
## 29 -2.9551536 3.27249806 -0.15476970 1.251560e-14 NSCLC 3
## 30 -2.8569881 -0.61588528 -0.55916158 6.762299e-14 NSCLC 3
## 31 -1.4958452 -0.56406809 0.14326041 -1.018942e-13 NSCLC 3
## 32 1.3895813 0.17428423 -1.36336421 2.330167e-15 MELANOMA 1
## 33 4.9527655 -2.75017950 -22.62075110 -7.769615e-14 BREAST 1
## 34 1.0830945 0.63420693 25.52064720 5.010879e-14 BREAST 1
## 35 -13.9723966 5.17013951 -1.49320420 -2.169966e-14 MELANOMA 1
## 36 16.6222088 -12.90971254 0.65225703 -1.731276e-14 MELANOMA 1
## 37 -13.9718102 3.15276677 -0.68821410 -8.026978e-14 MELANOMA 1
## 38 0.8910633 2.81106426 -0.76421494 -1.094957e-14 MELANOMA 1
## 39 -1.9611237 5.13506540 -0.94888001 2.182716e-15 MELANOMA 1
## 40 -4.0637834 2.02343378 -0.13402585 2.621731e-14 MELANOMA 1CS_PCA_FULL$Algorithm <- rep("HM_DIANA",nrow(CS_PCA_FULL))
table(CS_PCA_FULL$Cancer, CS_PCA_FULL$Cluster)##
## 1 2 3
## BREAST 4 1 2
## RENAL 8 1 0
## MELANOMA 8 0 0
## NSCLC 4 0 5
## COLON 0 0 7HM_DIANA_PCA_FULL <- CS_PCA_FULL
##################################
# Plotting the best PCA components
# grouped by cluster
##################################
HM_DIANA_ClusterPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cluster,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "HM_DIANA BY CLUSTER")
##################################
# Plotting the best PCA components
# grouped by cancer
##################################
HM_DIANA_CancerPlot <- xyplot(PC1 ~ PC2,
groups = CS_PCA_FULL$Cancer,
data = CS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 3,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"),
main = "HM_DIANA BY CANCER")
grid.arrange(HM_DIANA_ClusterPlot,
HM_DIANA_CancerPlot,
ncol = 1)
1.6 Consolidated Findings
[A] The clustering and segmentation algorithms applied only to the descriptors which were able to effectively capture the latent characteristics between the different clusters are the following :
[A.1] PM_KMEANS: Partitioning Method - K-Means (stats package)
[A.2] PM_PAM: Partitioning Method - Partitioning Around Medoids (cluster package)
[A.3] HM_HCLUST: Hierarchical Method - Hierarchical Clustering (factoextra package)
[A.4] HM_AGNES: Hierarchical Method - Agglomerative Nesting (cluster package)
Code Chunk | Output
##################################
# Re-plotting the cluster plot for KMEANS
##################################
PM_KMEANS_ClusterPlot <- xyplot(PC1 ~ PC2 | Algorithm,
groups = PM_KMEANS_PCA_FULL$Cluster,
data = PM_KMEANS_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 2,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"))
##################################
# Re-plotting the cluster plot for PAM
##################################
PM_PAM_ClusterPlot <- xyplot(PC1 ~ PC2 | Algorithm,
groups = PM_PAM_PCA_FULL$Cluster,
data = PM_PAM_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 2,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"))
##################################
# Re-plotting the cluster plot for FANNY
##################################
PM_FANNY_ClusterPlot <- xyplot(PC1 ~ PC2 | Algorithm,
groups = PM_FANNY_PCA_FULL$Cluster,
data = PM_FANNY_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 2,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"))
##################################
# Re-plotting the cluster plot for HCLUST
##################################
HM_HCLUST_ClusterPlot <- xyplot(PC1 ~ PC2 | Algorithm,
groups = HM_HCLUST_PCA_FULL$Cluster,
data = HM_HCLUST_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 2,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"))
##################################
# Re-plotting the cluster plot for AGNES
##################################
HM_AGNES_ClusterPlot <- xyplot(PC1 ~ PC2 | Algorithm,
groups = HM_AGNES_PCA_FULL$Cluster,
data = HM_AGNES_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 2,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"))
##################################
# Re-plotting the cluster plot for DIANA
##################################
HM_DIANA_ClusterPlot <- xyplot(PC1 ~ PC2 | Algorithm,
groups = HM_DIANA_PCA_FULL$Cluster,
data = HM_DIANA_PCA_FULL,
xlab = "PC2",
ylab = "PC1",
type = "p",
pch = 16,
cex = 2,
alpha = 0.45,
auto.key = list(points = TRUE, space = "top"))
################################################################################
# Consolidating all algorithm performance results
################################################################################
grid.arrange(PM_KMEANS_ClusterPlot,
PM_PAM_ClusterPlot,
PM_FANNY_ClusterPlot,
HM_HCLUST_ClusterPlot,
HM_AGNES_ClusterPlot,
HM_DIANA_ClusterPlot,
ncol = 3)
##################################
# Consolidating all average silhouette width
# for the analysis data
##################################
ClusteringAlgorithm <- c('PM_KMEANS','PM_PAM','PM_FANNY','HM_HCLUST','HM_AGNES','HM_DIANA')
Set <- c(rep('Analysis',6))
SilhouetteWidth <- c(SI_CS_PM_KMEANS,
SI_CS_PM_PAM,
SI_CS_PM_FANNY,
SI_CS_HM_HCLUST,
SI_CS_HM_AGNES,
SI_CS_HM_DIANA)
SilhouetteWidth_Summary <- as.data.frame(cbind(ClusteringAlgorithm,Set,SilhouetteWidth))
SilhouetteWidth_Summary$SilhouetteWidth <- as.numeric(as.character(SilhouetteWidth_Summary$SilhouetteWidth))
SilhouetteWidth_Summary$Set <- factor(SilhouetteWidth_Summary$Set,
levels = c("Analysis"))
SilhouetteWidth_Summary$ClusteringAlgorithm <- factor(SilhouetteWidth_Summary$ClusteringAlgorithm,
levels = c('PM_KMEANS',
'PM_PAM',
'PM_FANNY',
'HM_HCLUST',
'HM_AGNES',
'HM_DIANA'))
print(SilhouetteWidth_Summary, row.names=FALSE)## ClusteringAlgorithm Set SilhouetteWidth
## PM_KMEANS Analysis 0.08875424
## PM_PAM Analysis 0.08894711
## PM_FANNY Analysis 0.02497808
## HM_HCLUST Analysis 0.08172706
## HM_AGNES Analysis 0.08172706
## HM_DIANA Analysis 0.06662861(SilhouetteWidth_Plot <- dotplot(ClusteringAlgorithm ~ SilhouetteWidth,
data = SilhouetteWidth_Summary,
groups = Set,
main = "Clustering Algorithm Performance Comparison",
ylab = "Algorithm",
xlab = "Average Silhouette Width",
auto.key = list(adj = 1),
type=c("p", "h"),
origin = 0,
alpha = 0.45,
pch = 16,
cex = 2))
3. References
[Book] Applied Predictive Modeling by Max Kuhn and Kjell Johnson
[Book] An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani
[Book] Multivariate Data Visualization with R by Deepayan Sarkar
[Book] Machine Learning by Samuel Jackson
[Book] Data Modeling Methods by Jacob Larget
[Book] Introduction to R and Statistics by University of Western Australia
[Book] Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson
[Book] Introduction to Research Methods by Eric van Holm
[Book] Finding Groups in Data: An Introduction to Cluster Analysis by Leonard Kaufman and Peter Rousseeuw
[R Package] AppliedPredictiveModeling by Max Kuhn
[R Package] caret by Max Kuhn
[R Package] rpart by Terry Therneau and Beth Atkinson
[R Package] lattice by Deepayan Sarkar
[R Package] dplyr by Hadley Wickham
[R Package] moments by Lukasz Komsta and Frederick
[R Package] skimr by Elin Waring
[R Package] RANN by Sunil Arya, David Mount, Samuel Kemp and Gregory Jefferis
[R Package] corrplot by Taiyun Wei
[R Package] tidyverse by Hadley Wickham
[R Package] lares by Bernardo Lares
[R Package] DMwR2 by Luis Torgo
[R Package] gridExtra by Baptiste Auguie and Anton Antonov
[R Package] rattle by Graham Williams
[R Package] RColorBrewer by Erich Neuwirth
[R Package] stats by R Core Team
[R Package] ISLR by Trevor Hastie
[R Package] factoextra by Alboukadel Kassambara
[R Package] NbClust by Malika Charrad, Nadia Ghazzali, Veronique Boiteau and Azam Niknafs
[R Package] cluster by Martin Maechler
[Article] Cluster Analysis in R Simplified and Enhanced by Datanovia Team
[Article] Cluster Validation Essentials by Alboukadel Kassambara
[Article] Data Preparation and R Packages for Cluster Analysis by Datanovia Team
[Article] The Complete Guide to Clustering Analysis: K-Means and Hierarchical Clustering by Hand and in R by Antoine Soetewey
[Article] Practical Guide to Clustering Algorithms & Evaluation in R by Hacker Earth Team
[Article] Measures for Comparing Clustering Algorithms by Datanovia Team
[Article] K-Means Clustering – Introduction by Geeks For Geeks Team
[Article] K- Means Clustering Algorithm by Priya Pedamkar
[Article] K-Means Clustering Algorithm: Applications, Types, and How Does It Work? by Mayank Banoula
[Article] A New Partitioning Around Medoids Algorithm by Mark Van der Laan, Katherine Pollard and Jennifer Bryan
[Article] ML | K-Medoids Clustering With Solved Example by Geeks For Geeks Team
[Article] Fuzzy Clustering Essentials by Datanovia Team
[Article] Types of Clustering by Priya Pedamkar
[Article] What is Fuzzy Clustering? by Statistics How To Team
[Article] ML | Fuzzy Clustering by Geeks For Geeks Team
[Article] What is Hierarchical Clustering? by Tim Bock
[Article] What is Hierarchical Clustering? An Introduction to Hierarchical Clustering by Great Learning Team
[Article] Difference Between K-Means and Hierarchical Clustering by Geeks For Geeks Team
[Article] What is Hierarchical Clustering and How Does It Work by Simplilearn Team
[Article] Hierarchical Clustering Explained with Python Example by Ajitesh Kumar
[Article] Agglomerative Hierarchical Clustering by Datanovia Team
[Article] Divisive Hierarchical Clustering by Datanovia Team
[Article] ML | Hierarchical clustering (Agglomerative and Divisive clustering) by Geeks For Geeks Team
[Article] Practical Guide to Clustering Algorithms & Evaluation in R by Hackerearth Team
[Article] Which Are The Best Clustering Metrics? (Explained Simply) by Stephen Allwright
[Article] Elbow Method vs Silhouette Score – Which is Better? by Ajitesh Kumar
[Article] Assessment Metrics for Clustering Algorithms by Spencer Norris
[Article] Clustering Performance Evaluation in Scikit Learn by Geeks For Geeks Team
[Article] Taxonomy of Data Clustering Methods by Yun Lillian Li
[Article] Visualizing K-Means Clustering by Naftali Harris
[Article] Visualizing DBSCAN Clustering by Naftali Harris | [Publication] Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms by AP Reynolds (Journal of Mathematical Modelling and Algorithms)
[Publication] Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms by Erich Schubert and Peter Rousseeuw (SISAP 2020)
[Publication] Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms by Erich Schubert and Peter Rousseeuw (Information Systems)
[Publication] A General Coefficient of Similarity and Some of its Properties by JC Gower (Biometrics)
[Publication] Integrating Robust Clustering Techniques in S-PLUS by Anja Struyf, Mia Hubert and Peter Rousseeuw (Computational Statistics and Data Analysis)
[Publication] Cluster Analysis of Multivariate Data : Efficiency Versus Interpretability of Classification by E Forgy (Biometrics)
[Publication] Some Methods for Classification and Analysis of Multivariate Observations by J Macqueen (Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability)
[Publication] Algorithm AS136: A K-Means Clustering Algorithm by Ja Hartingan and Maurice Wong (Applied Statistics)
[Publication] Multidimensional Clustering Algorithms by Fionn Murtagh (Compstat Lectures)
[Course] Applied Data Mining and Statistical Learning by Penn State Eberly College of Science