Import Data dan
Visualisasi Awal
# Import Data
library(readxl)
## Warning: package 'readxl' was built under R version 4.5.3
data <- read_excel("C:/Users/LUCKY SURYA/Documents/kuliah/semester 4/analisis multivariat/SEM/Raw data.xlsx")
# Visualisasi Awal
options(repr.plot.width = 16, repr.plot.height = 4)
n_cols <- ncol(data)
par(mfrow = c(1, min(4, n_cols)), mar = c(4, 4, 2, 1))
for (col in colnames(data)) {
if (is.numeric(data[[col]])) {
hist(data[[col]], main = paste("Histogram of", col), xlab = col, col = "lightblue", border = "black")
} else {
counts <- table(data[[col]])
barplot(counts, main = paste("Barplot of", col), xlab = col, col = "lightgreen", border = "black", las = 2)
}
}
par(mfrow = c(1, 1))
Pre-Processing
Data
Missing Value dan
Duplikasi
# Cek Missing Value
sum(is.na(data))
## [1] 0
colMeans(is.na(data)) * 100
## Nama Jenis Kelamin
## 0 0
## Generasi Usia Berapa Usia Anda saat ini?
## 0 0
## Dimana tempat Anda tinggal? Level Pendidikan
## 0 0
## Level Jabatan Lama Berkerja
## 0 0
## Range Gaji Status Pernikahan
## 0 0
## Memiliki Tanggungan C1
## 0 0
## C2 C3
## 0 0
## C4 C5
## 0 0
## C6 C7
## 0 0
## CD1 CD2
## 0 0
## CD3 CD4
## 0 0
## CD5 CD6
## 0 0
## PSS1 PSS2
## 0 0
## PSS3 PSS4
## 0 0
## DL1 DL2
## 0 0
## DL3 DL4
## 0 0
## DL5 DL6
## 0 0
## DL7 DL8
## 0 0
## DL9 EE1
## 0 0
## EE2 EE3
## 0 0
## EE4 EE5
## 0 0
## EE6
## 0
# Cek duplikat
duplikat <- data[duplicated(data), ]
duplikat
## # A tibble: 0 × 43
## # ℹ 43 variables: Nama <chr>, Jenis Kelamin <chr>, Generasi Usia <chr>,
## # Berapa Usia Anda saat ini? <chr>, Dimana tempat Anda tinggal? <chr>,
## # Level Pendidikan <chr>, Level Jabatan <chr>, Lama Berkerja <chr>,
## # Range Gaji <chr>, Status Pernikahan <chr>, Memiliki Tanggungan <chr>,
## # C1 <dbl>, C2 <dbl>, C3 <dbl>, C4 <dbl>, C5 <dbl>, C6 <dbl>, C7 <dbl>,
## # CD1 <dbl>, CD2 <dbl>, CD3 <dbl>, CD4 <dbl>, CD5 <dbl>, CD6 <dbl>,
## # PSS1 <dbl>, PSS2 <dbl>, PSS3 <dbl>, PSS4 <dbl>, DL1 <dbl>, DL2 <dbl>, …
Konversi ke
Numerik
data_numeric <- data
for (col in colnames(data_numeric)) {
if (!is.numeric(data_numeric[[col]])) {
data_numeric[[col]] <- as.numeric(as.factor(data_numeric[[col]]))
}
}
Visualisasi Setelah
Pre-Processing
options(repr.plot.width = 16, repr.plot.height = 4)
par(mfrow = c(1, 4), mar = c(4, 4, 2, 1))
num_plots <- 0
for (col in colnames(data_numeric)) {
if (is.numeric(data_numeric[[col]])) {
hist(data_numeric[[col]], main = paste("Histogram of", col), xlab = col, col = "lightblue", border = "black")
num_plots <- num_plots + 1
}
}
par(mfrow = c(1, 1))
Normalisasi
Z-score
data_z <- as.data.frame(lapply(data_numeric, function(x) {
if (is.numeric(x)) (x - mean(x)) / sd(x) else x
}))
data_z
## Nama Jenis.Kelamin Generasi.Usia Berapa.Usia.Anda.saat.ini.
## 1 -1.71953495 1.093764 0.8280756 -0.3366734
## 2 0.13355611 1.093764 -1.8713205 -0.8344690
## 3 0.45075188 -0.909857 0.8280756 0.1611222
## 4 0.63439154 -0.909857 0.8280756 1.1567135
## 5 0.81803119 1.093764 0.8280756 0.1611222
## 6 1.00167084 1.093764 -0.5216224 -0.8344690
## 7 1.18531050 1.093764 0.8280756 0.6589179
## 8 1.36895015 1.093764 0.8280756 -0.8344690
## 9 1.55258981 -0.909857 0.8280756 1.1567135
## 10 -1.70284044 1.093764 0.8280756 1.1567135
## 11 -1.51920078 1.093764 -0.5216224 -0.8344690
## 12 -1.33556113 -0.909857 -0.5216224 -0.8344690
## 13 -1.15192147 -0.909857 -1.8713205 -0.8344690
## 14 -0.96828182 -0.909857 -0.5216224 -0.8344690
## 15 -0.78464216 1.093764 -0.5216224 -0.8344690
## 16 -0.60100251 -0.909857 -0.5216224 -0.8344690
## 17 -0.41736285 -0.909857 -1.8713205 -0.8344690
## 18 -0.23372320 -0.909857 -1.8713205 -0.8344690
## 19 -0.05008354 1.093764 -0.5216224 -0.8344690
## 20 0.15025063 -0.909857 0.8280756 0.6589179
## 21 0.30050125 1.093764 -1.8713205 -0.8344690
## 22 0.31719577 1.093764 0.8280756 -0.8344690
## 23 0.33389028 1.093764 -1.8713205 -0.8344690
## 24 0.35058480 -0.909857 -0.5216224 -0.8344690
## 25 0.36727931 -0.909857 0.8280756 -0.8344690
## 26 0.38397382 1.093764 0.8280756 1.6545091
## 27 0.40066834 -0.909857 -0.5216224 -0.8344690
## 28 0.41736285 -0.909857 -0.5216224 -0.8344690
## 29 0.43405737 -0.909857 0.8280756 1.1567135
## 30 0.46744639 1.093764 -1.8713205 -0.8344690
## 31 0.48414091 1.093764 -1.8713205 -0.8344690
## 32 0.50083542 1.093764 0.8280756 1.1567135
## 33 0.51752994 1.093764 0.8280756 1.6545091
## 34 0.53422445 -0.909857 -0.5216224 -0.8344690
## 35 0.55091896 1.093764 0.8280756 1.6545091
## 36 0.56761348 -0.909857 0.8280756 1.1567135
## 37 0.58430799 1.093764 0.8280756 1.1567135
## 38 0.60100251 1.093764 0.8280756 -0.8344690
## 39 0.61769702 -0.909857 0.8280756 1.1567135
## 40 0.65108605 1.093764 -1.8713205 -0.8344690
## 41 0.66778056 1.093764 -0.5216224 -0.8344690
## 42 0.68447508 1.093764 -0.5216224 -0.8344690
## 43 0.70116959 -0.909857 0.8280756 -0.8344690
## 44 0.71786411 1.093764 -1.8713205 -0.8344690
## 45 0.73455862 1.093764 -1.8713205 -0.8344690
## 46 0.75125313 -0.909857 -0.5216224 -0.8344690
## 47 0.76794765 1.093764 -1.8713205 -0.8344690
## 48 0.78464216 1.093764 -1.8713205 -0.8344690
## 49 0.80133668 1.093764 -1.8713205 -0.8344690
## 50 0.83472570 -0.909857 -0.5216224 -0.8344690
## 51 0.85142022 1.093764 -1.8713205 -0.8344690
## 52 0.86811473 1.093764 0.8280756 0.6589179
## 53 0.88480925 1.093764 0.8280756 0.6589179
## 54 0.90150376 1.093764 0.8280756 1.1567135
## 55 0.91819827 1.093764 0.8280756 1.1567135
## 56 0.93489279 1.093764 0.8280756 1.6545091
## 57 0.95158730 1.093764 -0.5216224 -0.8344690
## 58 0.96828182 1.093764 -0.5216224 -0.8344690
## 59 0.98497633 1.093764 -1.8713205 -0.8344690
## 60 1.01836536 -0.909857 -0.5216224 -0.8344690
## 61 1.03505987 1.093764 0.8280756 1.6545091
## 62 1.05175439 1.093764 0.8280756 1.1567135
## 63 1.06844890 1.093764 0.8280756 0.6589179
## 64 1.08514342 -0.909857 0.8280756 1.6545091
## 65 1.10183793 -0.909857 0.8280756 1.6545091
## 66 1.11853244 1.093764 0.8280756 0.6589179
## 67 1.13522696 1.093764 0.8280756 1.1567135
## 68 1.15192147 1.093764 0.8280756 -0.8344690
## 69 1.16861599 -0.909857 0.8280756 1.1567135
## 70 1.20200501 1.093764 0.8280756 1.1567135
## 71 1.21869953 -0.909857 0.8280756 1.1567135
## 72 1.23539404 -0.909857 0.8280756 -0.8344690
## 73 1.25208856 -0.909857 0.8280756 0.6589179
## 74 1.26878307 1.093764 0.8280756 -1.3322646
## 75 1.28547758 -0.909857 0.8280756 0.1611222
## 76 1.30217210 1.093764 0.8280756 1.1567135
## 77 1.31886661 -0.909857 -1.8713205 -0.8344690
## 78 1.33556113 -0.909857 0.8280756 -0.8344690
## 79 1.35225564 -0.909857 -1.8713205 -0.8344690
## 80 1.38564467 -0.909857 -1.8713205 -0.8344690
## 81 1.40233918 1.093764 -1.8713205 -0.8344690
## 82 1.41903370 1.093764 0.8280756 0.6589179
## 83 1.43572821 -0.909857 0.8280756 1.1567135
## 84 1.45242273 1.093764 0.8280756 -0.8344690
## 85 1.46911724 1.093764 -1.8713205 -0.8344690
## 86 1.48581175 1.093764 -1.8713205 -0.8344690
## 87 1.50250627 1.093764 0.8280756 1.6545091
## 88 1.51920078 1.093764 0.8280756 -0.8344690
## 89 1.53589530 -0.909857 0.8280756 0.6589179
## 90 1.56928432 1.093764 0.8280756 -0.8344690
## 91 1.58597884 1.093764 0.8280756 1.1567135
## 92 1.60267335 1.093764 0.8280756 1.1567135
## 93 1.61936787 1.093764 0.8280756 -0.8344690
## 94 1.63606238 -0.909857 0.8280756 1.1567135
## 95 1.65275689 1.093764 0.8280756 1.6545091
## 96 1.66945141 -0.909857 -0.5216224 -0.8344690
## 97 1.68614592 1.093764 0.8280756 -0.8344690
## 98 1.70284044 1.093764 0.8280756 0.6589179
## 99 1.71953495 -0.909857 0.8280756 1.6545091
## 100 -1.68614592 -0.909857 -0.5216224 -0.8344690
## 101 -1.66945141 -0.909857 -1.8713205 -0.8344690
## 102 -1.65275689 1.093764 0.8280756 1.1567135
## 103 -1.63606238 -0.909857 -1.8713205 -0.8344690
## 104 -1.61936787 1.093764 0.8280756 1.1567135
## 105 -1.60267335 -0.909857 -0.5216224 -0.8344690
## 106 -1.58597884 1.093764 -0.5216224 -0.8344690
## 107 -1.56928432 -0.909857 0.8280756 1.6545091
## 108 -1.55258981 -0.909857 0.8280756 1.1567135
## 109 -1.53589530 -0.909857 0.8280756 1.6545091
## 110 -1.50250627 1.093764 0.8280756 0.6589179
## 111 -1.48581175 -0.909857 -1.8713205 -0.8344690
## 112 -1.46911724 1.093764 0.8280756 -0.8344690
## 113 -1.45242273 -0.909857 -0.5216224 -0.8344690
## 114 -1.43572821 -0.909857 -1.8713205 -0.8344690
## 115 -1.41903370 1.093764 -1.8713205 -0.8344690
## 116 -1.40233918 -0.909857 -0.5216224 -0.8344690
## 117 -1.38564467 -0.909857 -0.5216224 -0.8344690
## 118 -1.36895015 1.093764 -1.8713205 -0.8344690
## 119 -1.35225564 1.093764 -0.5216224 -0.8344690
## 120 -1.31886661 -0.909857 -1.8713205 -0.8344690
## 121 -1.30217210 1.093764 0.8280756 0.6589179
## 122 -1.28547758 1.093764 0.8280756 1.1567135
## 123 -1.26878307 1.093764 0.8280756 0.6589179
## 124 -1.25208856 -0.909857 -0.5216224 -0.8344690
## 125 -1.23539404 -0.909857 0.8280756 -0.8344690
## 126 -1.21869953 1.093764 -0.5216224 -0.8344690
## 127 -1.20200501 1.093764 0.8280756 1.6545091
## 128 -1.18531050 -0.909857 -0.5216224 -0.8344690
## 129 -1.16861599 1.093764 -0.5216224 1.1567135
## 130 -1.13522696 -0.909857 0.8280756 1.6545091
## 131 -1.11853244 -0.909857 -0.5216224 -0.8344690
## 132 -1.10183793 -0.909857 -0.5216224 -0.8344690
## 133 -1.08514342 -0.909857 -0.5216224 -0.8344690
## 134 -1.06844890 -0.909857 0.8280756 -0.8344690
## 135 -1.05175439 -0.909857 -0.5216224 -0.8344690
## 136 -1.03505987 -0.909857 -0.5216224 -0.8344690
## 137 -1.01836536 -0.909857 0.8280756 -0.8344690
## 138 -1.00167084 -0.909857 -0.5216224 -0.8344690
## 139 -0.98497633 -0.909857 -0.5216224 -0.8344690
## 140 -0.95158730 -0.909857 -0.5216224 -0.8344690
## 141 -0.93489279 -0.909857 -0.5216224 -0.8344690
## 142 -0.91819827 -0.909857 -0.5216224 -0.8344690
## 143 -0.90150376 -0.909857 -1.8713205 -0.8344690
## 144 -0.88480925 -0.909857 0.8280756 1.6545091
## 145 -0.86811473 -0.909857 -0.5216224 -0.8344690
## 146 -0.85142022 -0.909857 -0.5216224 -0.8344690
## 147 -0.83472570 1.093764 0.8280756 1.6545091
## 148 -0.81803119 -0.909857 0.8280756 1.1567135
## 149 -0.80133668 -0.909857 0.8280756 -0.8344690
## 150 -0.76794765 1.093764 0.8280756 1.6545091
## 151 -0.75125313 -0.909857 -0.5216224 -0.8344690
## 152 -0.73455862 -0.909857 -0.5216224 -0.8344690
## 153 -0.71786411 -0.909857 -0.5216224 -0.8344690
## 154 -0.70116959 -0.909857 -0.5216224 -0.8344690
## 155 -0.68447508 -0.909857 -0.5216224 -0.8344690
## 156 -0.66778056 -0.909857 -0.5216224 -0.8344690
## 157 -0.65108605 -0.909857 -0.5216224 -0.8344690
## 158 -0.63439154 1.093764 -0.5216224 -0.8344690
## 159 -0.61769702 1.093764 -0.5216224 -0.8344690
## 160 -0.58430799 1.093764 -0.5216224 -0.8344690
## 161 -0.56761348 1.093764 -0.5216224 -0.8344690
## 162 -0.55091896 1.093764 -0.5216224 -0.8344690
## 163 -0.53422445 1.093764 -0.5216224 -0.8344690
## 164 -0.51752994 -0.909857 0.8280756 -0.8344690
## 165 -0.50083542 1.093764 -0.5216224 -0.8344690
## 166 -0.48414091 -0.909857 -0.5216224 -0.8344690
## 167 -0.46744639 -0.909857 0.8280756 1.6545091
## 168 -0.45075188 -0.909857 0.8280756 1.1567135
## 169 -0.43405737 -0.909857 0.8280756 0.6589179
## 170 -0.40066834 -0.909857 -0.5216224 -0.8344690
## 171 -0.38397382 -0.909857 -0.5216224 -0.8344690
## 172 -0.36727931 -0.909857 -0.5216224 -0.8344690
## 173 -0.35058480 1.093764 -1.8713205 -0.8344690
## 174 -0.33389028 1.093764 0.8280756 1.1567135
## 175 -0.31719577 -0.909857 0.8280756 0.1611222
## 176 -0.30050125 1.093764 0.8280756 1.1567135
## 177 -0.28380674 1.093764 0.8280756 0.6589179
## 178 -0.26711223 -0.909857 0.8280756 -0.8344690
## 179 -0.25041771 -0.909857 0.8280756 0.1611222
## 180 -0.21702868 -0.909857 0.8280756 1.6545091
## 181 -0.20033417 -0.909857 0.8280756 1.1567135
## 182 -0.18363965 -0.909857 0.8280756 -0.8344690
## 183 -0.16694514 -0.909857 0.8280756 1.6545091
## 184 -0.15025063 -0.909857 0.8280756 1.6545091
## 185 -0.13355611 -0.909857 -0.5216224 -0.8344690
## 186 -0.11686160 1.093764 0.8280756 0.1611222
## 187 -0.10016708 -0.909857 0.8280756 0.6589179
## 188 -0.08347257 1.093764 -0.5216224 -0.8344690
## 189 -0.06677806 -0.909857 -0.5216224 -0.8344690
## 190 -0.03338903 -0.909857 0.8280756 0.6589179
## 191 -0.01669451 -0.909857 0.8280756 0.6589179
## 192 0.00000000 -0.909857 0.8280756 1.6545091
## 193 0.01669451 -0.909857 0.8280756 1.1567135
## 194 0.03338903 -0.909857 0.8280756 0.6589179
## 195 0.05008354 -0.909857 0.8280756 0.6589179
## 196 0.06677806 -0.909857 0.8280756 1.1567135
## 197 0.08347257 -0.909857 0.8280756 1.6545091
## 198 0.10016708 -0.909857 0.8280756 1.1567135
## 199 0.11686160 -0.909857 0.8280756 1.1567135
## 200 0.16694514 -0.909857 0.8280756 1.6545091
## 201 0.18363965 1.093764 0.8280756 0.6589179
## 202 0.20033417 1.093764 0.8280756 1.1567135
## 203 0.21702868 1.093764 0.8280756 0.1611222
## 204 0.23372320 1.093764 0.8280756 0.6589179
## 205 0.25041771 -0.909857 0.8280756 1.1567135
## 206 0.26711223 -0.909857 0.8280756 0.6589179
## 207 0.28380674 -0.909857 -1.8713205 -0.8344690
## Dimana.tempat.Anda.tinggal. Level.Pendidikan Level.Jabatan Lama.Berkerja
## 1 -0.29534902 -0.2288327 1.1044494 0.1537591
## 2 -0.81127515 -1.5265960 0.4053025 -1.5666809
## 3 -0.81127515 -0.2288327 -0.9929912 -0.7064609
## 4 0.47854018 -0.2288327 -0.9929912 0.1537591
## 5 -0.81127515 1.7178124 1.1044494 -0.7064609
## 6 -0.81127515 -1.5265960 1.1044494 1.0139792
## 7 -0.29534902 -0.2288327 1.1044494 0.1537591
## 8 -0.81127515 -0.2288327 1.1044494 0.1537591
## 9 0.47854018 1.7178124 1.1044494 1.0139792
## 10 -0.81127515 -1.5265960 -0.2938443 0.1537591
## 11 -0.55331209 -0.2288327 -1.3425647 1.8741992
## 12 1.76835552 -0.2288327 -0.6434178 -1.5666809
## 13 2.28428165 0.4200490 -0.6434178 -1.5666809
## 14 -0.29534902 -0.2288327 1.1044494 1.0139792
## 15 -0.81127515 -0.2288327 -0.2938443 0.1537591
## 16 2.54224472 -0.2288327 -1.3425647 -1.5666809
## 17 -0.81127515 1.7178124 0.7548760 1.8741992
## 18 0.47854018 -0.2288327 -1.3425647 -1.5666809
## 19 2.54224472 -0.2288327 -0.2938443 0.1537591
## 20 -0.81127515 -0.2288327 1.1044494 0.1537591
## 21 -0.29534902 -0.2288327 -0.6434178 -1.5666809
## 22 2.54224472 -0.2288327 1.1044494 0.1537591
## 23 2.54224472 1.7178124 -0.2938443 -1.5666809
## 24 -0.29534902 0.4200490 -0.6434178 -1.5666809
## 25 2.28428165 -0.2288327 1.1044494 1.0139792
## 26 -0.81127515 -0.2288327 -0.2938443 0.1537591
## 27 1.25242938 -0.2288327 1.1044494 0.1537591
## 28 -0.29534902 -0.2288327 1.1044494 0.1537591
## 29 -0.81127515 -0.2288327 1.1044494 -0.7064609
## 30 -0.81127515 1.7178124 1.1044494 -1.5666809
## 31 -0.81127515 -1.5265960 0.7548760 -1.5666809
## 32 2.54224472 1.7178124 1.1044494 0.1537591
## 33 2.54224472 1.7178124 1.1044494 1.0139792
## 34 0.47854018 1.7178124 1.1044494 -1.5666809
## 35 -0.29534902 -0.2288327 1.1044494 0.1537591
## 36 -0.29534902 -0.2288327 0.7548760 0.1537591
## 37 2.02631858 -0.2288327 -0.2938443 0.1537591
## 38 -0.81127515 -0.2288327 1.1044494 1.8741992
## 39 -0.29534902 -0.2288327 1.1044494 0.1537591
## 40 -0.81127515 -0.2288327 -1.3425647 -1.5666809
## 41 -0.81127515 0.4200490 -0.2938443 -1.5666809
## 42 0.47854018 -0.2288327 0.7548760 -1.5666809
## 43 0.47854018 -0.2288327 0.7548760 0.1537591
## 44 -0.81127515 -0.2288327 0.4053025 1.0139792
## 45 -0.81127515 -0.2288327 -0.6434178 -1.5666809
## 46 -0.81127515 -0.2288327 1.1044494 1.0139792
## 47 -0.81127515 -1.5265960 0.7548760 -1.5666809
## 48 -0.81127515 -1.5265960 0.0557291 1.0139792
## 49 -0.81127515 0.4200490 -0.2938443 -1.5666809
## 50 -0.29534902 -0.2288327 -0.6434178 -1.5666809
## 51 -0.81127515 1.7178124 1.1044494 -1.5666809
## 52 2.02631858 -0.2288327 1.1044494 0.1537591
## 53 2.54224472 1.7178124 1.1044494 1.0139792
## 54 -0.81127515 -0.2288327 -0.2938443 -0.7064609
## 55 2.54224472 -0.2288327 -0.9929912 -0.7064609
## 56 2.54224472 -0.2288327 -0.9929912 -0.7064609
## 57 -0.29534902 -0.2288327 0.4053025 -1.5666809
## 58 -0.81127515 -0.2288327 1.1044494 -1.5666809
## 59 -0.81127515 0.4200490 1.1044494 -1.5666809
## 60 -0.81127515 -1.5265960 -2.0417115 -1.5666809
## 61 -0.81127515 0.4200490 0.0557291 -0.7064609
## 62 -0.81127515 1.7178124 -2.0417115 -0.7064609
## 63 0.47854018 -0.2288327 -0.9929912 -0.7064609
## 64 -0.81127515 -0.2288327 0.4053025 1.0139792
## 65 -0.81127515 -0.2288327 0.4053025 1.0139792
## 66 -0.29534902 -0.2288327 -0.9929912 -0.7064609
## 67 -0.81127515 -0.2288327 1.1044494 -0.7064609
## 68 0.47854018 -1.5265960 0.7548760 1.0139792
## 69 -0.81127515 -0.2288327 1.1044494 1.0139792
## 70 -0.29534902 -0.2288327 -0.2938443 -0.7064609
## 71 -0.29534902 1.7178124 -0.9929912 -0.7064609
## 72 -0.29534902 -0.2288327 1.1044494 -0.7064609
## 73 -0.81127515 -0.2288327 -0.6434178 0.1537591
## 74 3.05817085 1.7178124 1.1044494 -0.7064609
## 75 -0.81127515 -1.5265960 1.1044494 -0.7064609
## 76 0.47854018 -0.8777143 1.1044494 -0.7064609
## 77 0.47854018 -1.5265960 0.0557291 -1.5666809
## 78 -0.81127515 1.7178124 -1.3425647 1.8741992
## 79 0.47854018 1.7178124 1.1044494 0.1537591
## 80 2.28428165 0.4200490 -1.3425647 -1.5666809
## 81 2.28428165 0.4200490 -2.0417115 -1.5666809
## 82 -0.81127515 -0.2288327 -0.9929912 -0.7064609
## 83 -0.29534902 -0.2288327 -0.2938443 -0.7064609
## 84 2.80020778 -0.2288327 -0.2938443 -0.7064609
## 85 0.47854018 -0.2288327 -2.0417115 -1.5666809
## 86 -0.81127515 -0.2288327 -0.2938443 -1.5666809
## 87 -1.06923822 1.7178124 1.1044494 0.1537591
## 88 0.47854018 -0.2288327 -0.2938443 1.0139792
## 89 -0.29534902 1.7178124 -0.9929912 -0.7064609
## 90 -0.81127515 -0.2288327 -1.6921381 0.1537591
## 91 0.47854018 -0.2288327 1.1044494 -0.7064609
## 92 -0.81127515 -0.2288327 1.1044494 -0.7064609
## 93 -0.29534902 -0.2288327 1.1044494 -0.7064609
## 94 -0.81127515 1.7178124 1.1044494 1.0139792
## 95 -0.29534902 1.7178124 0.4053025 1.0139792
## 96 2.02631858 -0.2288327 0.0557291 1.0139792
## 97 -0.81127515 -0.2288327 1.1044494 -0.7064609
## 98 -0.81127515 -0.2288327 -0.2938443 -0.7064609
## 99 1.51039245 -0.2288327 -0.6434178 0.1537591
## 100 -0.81127515 -0.2288327 1.1044494 -1.5666809
## 101 2.02631858 1.7178124 -0.2938443 -0.7064609
## 102 -0.81127515 1.7178124 -0.6434178 0.1537591
## 103 -0.81127515 -0.2288327 -0.6434178 -1.5666809
## 104 -0.29534902 -0.2288327 1.1044494 -0.7064609
## 105 -0.81127515 -0.2288327 -1.3425647 -0.7064609
## 106 -0.81127515 0.4200490 -2.0417115 -1.5666809
## 107 0.47854018 -0.2288327 1.1044494 0.1537591
## 108 -0.81127515 -0.2288327 -0.9929912 -0.7064609
## 109 0.47854018 -0.2288327 1.1044494 0.1537591
## 110 -0.81127515 1.7178124 1.1044494 0.1537591
## 111 -0.81127515 2.3666941 -0.9929912 1.0139792
## 112 2.80020778 -0.2288327 0.7548760 0.1537591
## 113 0.47854018 -1.5265960 -0.2938443 1.8741992
## 114 0.99446632 1.0689307 -1.6921381 -1.5666809
## 115 -0.55331209 -0.2288327 1.1044494 -1.5666809
## 116 -0.81127515 -0.2288327 0.7548760 -1.5666809
## 117 0.99446632 -0.2288327 1.1044494 1.8741992
## 118 0.99446632 1.0689307 0.4053025 -1.5666809
## 119 0.99446632 -0.2288327 -0.6434178 -1.5666809
## 120 -0.81127515 1.7178124 -1.3425647 -1.5666809
## 121 -0.81127515 -0.2288327 1.1044494 -0.7064609
## 122 -0.81127515 1.7178124 1.1044494 0.1537591
## 123 -0.81127515 1.7178124 1.1044494 0.1537591
## 124 -0.29534902 -0.2288327 1.1044494 0.1537591
## 125 -0.29534902 0.4200490 -0.6434178 1.0139792
## 126 -0.29534902 1.7178124 -0.9929912 0.1537591
## 127 0.99446632 2.3666941 1.1044494 0.1537591
## 128 -0.29534902 -0.2288327 0.7548760 1.0139792
## 129 2.28428165 1.7178124 -0.2938443 0.1537591
## 130 -0.81127515 -2.8243594 0.0557291 0.1537591
## 131 -0.29534902 -2.8243594 0.7548760 1.0139792
## 132 -0.29534902 -0.2288327 -0.2938443 1.0139792
## 133 -0.29534902 -0.2288327 1.1044494 0.1537591
## 134 -0.29534902 -2.1754777 -2.0417115 1.0139792
## 135 -0.29534902 -2.1754777 -0.6434178 1.0139792
## 136 -0.29534902 -0.2288327 -0.2938443 1.0139792
## 137 -0.29534902 -0.8777143 0.4053025 1.0139792
## 138 -0.29534902 -0.2288327 -1.6921381 1.0139792
## 139 -0.29534902 1.0689307 -1.3425647 1.0139792
## 140 -0.29534902 -0.2288327 1.1044494 0.1537591
## 141 -0.29534902 -0.2288327 -0.6434178 1.0139792
## 142 -0.55331209 1.0689307 -1.3425647 1.8741992
## 143 -0.29534902 -0.2288327 0.4053025 1.8741992
## 144 0.47854018 -0.2288327 -2.0417115 1.0139792
## 145 0.99446632 -1.5265960 0.7548760 1.8741992
## 146 -0.29534902 0.4200490 -1.6921381 1.8741992
## 147 -0.29534902 -0.2288327 1.1044494 0.1537591
## 148 -0.29534902 1.7178124 -0.9929912 0.1537591
## 149 -0.81127515 -0.2288327 0.7548760 1.0139792
## 150 -0.29534902 -0.2288327 -2.0417115 0.1537591
## 151 2.28428165 -1.5265960 -0.6434178 1.0139792
## 152 -0.29534902 -0.2288327 -0.2938443 0.1537591
## 153 -0.29534902 -0.2288327 0.7548760 1.0139792
## 154 -0.29534902 -0.2288327 -0.6434178 1.0139792
## 155 -0.29534902 -0.2288327 -0.6434178 1.0139792
## 156 -0.29534902 -0.2288327 -0.6434178 1.0139792
## 157 -0.29534902 -0.2288327 0.0557291 1.0139792
## 158 -1.06923822 -0.2288327 -0.6434178 1.0139792
## 159 0.47854018 -0.2288327 0.7548760 1.0139792
## 160 0.73650325 -0.2288327 -2.0417115 1.0139792
## 161 -1.06923822 -0.2288327 0.7548760 1.0139792
## 162 0.99446632 -0.2288327 -0.6434178 1.0139792
## 163 0.73650325 -0.2288327 -0.6434178 1.0139792
## 164 -0.55331209 1.7178124 1.1044494 0.1537591
## 165 -0.29534902 -0.2288327 -0.2938443 0.1537591
## 166 -0.29534902 1.7178124 -0.9929912 -0.7064609
## 167 -0.29534902 1.7178124 1.1044494 -0.7064609
## 168 -0.29534902 1.7178124 -0.9929912 -0.7064609
## 169 -0.29534902 1.7178124 -0.9929912 -0.7064609
## 170 -0.29534902 0.4200490 -1.6921381 1.0139792
## 171 -0.03738595 -1.5265960 0.0557291 0.1537591
## 172 -0.29534902 -0.2288327 -2.0417115 1.0139792
## 173 -0.81127515 0.4200490 -1.6921381 1.8741992
## 174 -0.81127515 1.7178124 1.1044494 0.1537591
## 175 -0.29534902 -0.2288327 1.1044494 0.1537591
## 176 -0.55331209 -0.2288327 -0.6434178 1.0139792
## 177 -0.29534902 -0.2288327 1.1044494 0.1537591
## 178 -0.29534902 -0.2288327 -0.6434178 0.1537591
## 179 0.22057712 -1.5265960 1.1044494 0.1537591
## 180 -0.29534902 -0.2288327 1.1044494 0.1537591
## 181 -0.29534902 -1.5265960 1.1044494 0.1537591
## 182 -0.29534902 -0.2288327 0.0557291 1.0139792
## 183 -0.55331209 -0.2288327 -0.2938443 0.1537591
## 184 -0.29534902 -0.2288327 -2.0417115 0.1537591
## 185 -0.29534902 -0.2288327 0.7548760 1.0139792
## 186 -0.29534902 -1.5265960 -0.2938443 0.1537591
## 187 -0.29534902 -0.2288327 -0.2938443 0.1537591
## 188 0.73650325 -0.2288327 0.7548760 1.0139792
## 189 -0.29534902 -0.2288327 -0.6434178 1.8741992
## 190 -0.55331209 -0.2288327 -0.2938443 0.1537591
## 191 -0.29534902 -1.5265960 -0.2938443 0.1537591
## 192 -0.29534902 -0.8777143 0.0557291 0.1537591
## 193 -0.29534902 -0.2288327 -0.2938443 0.1537591
## 194 0.47854018 -0.2288327 0.0557291 0.1537591
## 195 0.47854018 1.7178124 1.1044494 0.1537591
## 196 1.25242938 -0.2288327 -0.2938443 0.1537591
## 197 -0.29534902 -0.2288327 0.7548760 1.0139792
## 198 -0.55331209 -1.5265960 -0.2938443 0.1537591
## 199 -0.29534902 -0.8777143 -0.2938443 0.1537591
## 200 -0.29534902 -0.2288327 -2.0417115 0.1537591
## 201 0.73650325 -0.8777143 1.1044494 0.1537591
## 202 -0.29534902 -0.2288327 0.7548760 0.1537591
## 203 -0.29534902 -1.5265960 -0.9929912 0.1537591
## 204 -0.29534902 -0.2288327 -0.2938443 0.1537591
## 205 -0.29534902 -1.5265960 -0.2938443 0.1537591
## 206 -0.29534902 -0.2288327 -0.2938443 0.1537591
## 207 -0.81127515 -0.2288327 0.4053025 -1.5666809
## Range.Gaji Status.Pernikahan Memiliki.Tanggungan C1 C2
## 1 0.9634752 -0.8922641 1.1153302 0.8816711 0.0969296
## 2 0.9634752 1.1153302 1.1153302 -0.4126971 0.0969296
## 3 -1.0111720 -0.8922641 1.1153302 -0.4126971 -0.8150898
## 4 -1.0111720 -0.8922641 1.1153302 -0.4126971 -0.8150898
## 5 0.9634752 -0.8922641 -0.8922641 0.8816711 1.0089490
## 6 0.9634752 1.1153302 -0.8922641 -1.7070653 -2.6391285
## 7 0.9634752 -0.8922641 1.1153302 0.8816711 1.0089490
## 8 -1.0111720 1.1153302 -0.8922641 -0.4126971 -0.8150898
## 9 -1.0111720 -0.8922641 1.1153302 -1.7070653 -0.8150898
## 10 0.9634752 -0.8922641 1.1153302 0.8816711 0.0969296
## 11 0.3052595 1.1153302 -0.8922641 0.8816711 1.0089490
## 12 -1.6693878 1.1153302 -0.8922641 0.8816711 1.0089490
## 13 -1.6693878 1.1153302 -0.8922641 0.8816711 1.0089490
## 14 -1.0111720 -0.8922641 -0.8922641 -0.4126971 0.0969296
## 15 0.9634752 1.1153302 -0.8922641 -0.4126971 0.0969296
## 16 -1.6693878 1.1153302 -0.8922641 0.8816711 -2.6391285
## 17 0.9634752 1.1153302 -0.8922641 0.8816711 1.0089490
## 18 -1.6693878 1.1153302 -0.8922641 -0.4126971 0.0969296
## 19 0.9634752 1.1153302 1.1153302 -0.4126971 -0.8150898
## 20 0.9634752 -0.8922641 1.1153302 0.8816711 1.0089490
## 21 -2.3276036 1.1153302 -0.8922641 0.8816711 1.0089490
## 22 0.9634752 -0.8922641 -0.8922641 -0.4126971 -2.6391285
## 23 -1.0111720 1.1153302 -0.8922641 -1.7070653 -0.8150898
## 24 0.9634752 1.1153302 -0.8922641 -0.4126971 0.0969296
## 25 0.9634752 1.1153302 -0.8922641 0.8816711 1.0089490
## 26 0.9634752 -0.8922641 -0.8922641 0.8816711 -1.7271092
## 27 0.9634752 1.1153302 -0.8922641 -0.4126971 0.0969296
## 28 -1.0111720 1.1153302 -0.8922641 -1.7070653 -1.7271092
## 29 0.9634752 -0.8922641 1.1153302 -0.4126971 -1.7271092
## 30 0.9634752 1.1153302 -0.8922641 -1.7070653 -2.6391285
## 31 0.9634752 -0.8922641 1.1153302 -3.0014334 -1.7271092
## 32 -1.0111720 -0.8922641 1.1153302 -0.4126971 0.0969296
## 33 -1.0111720 -0.8922641 1.1153302 -1.7070653 -0.8150898
## 34 -1.0111720 1.1153302 -0.8922641 -1.7070653 0.0969296
## 35 0.9634752 -0.8922641 1.1153302 -0.4126971 0.0969296
## 36 0.9634752 -0.8922641 1.1153302 -1.7070653 0.0969296
## 37 -0.3529563 -0.8922641 1.1153302 0.8816711 0.0969296
## 38 0.9634752 -0.8922641 1.1153302 0.8816711 -0.8150898
## 39 0.9634752 -0.8922641 1.1153302 -0.4126971 0.0969296
## 40 -2.3276036 1.1153302 -0.8922641 0.8816711 1.0089490
## 41 -1.0111720 1.1153302 -0.8922641 -0.4126971 0.0969296
## 42 0.9634752 1.1153302 1.1153302 -0.4126971 -1.7271092
## 43 -1.0111720 -0.8922641 -0.8922641 0.8816711 0.0969296
## 44 -0.3529563 1.1153302 -0.8922641 -0.4126971 -0.8150898
## 45 0.3052595 1.1153302 -0.8922641 -0.4126971 0.0969296
## 46 -1.0111720 -0.8922641 1.1153302 -0.4126971 -0.8150898
## 47 0.3052595 1.1153302 -0.8922641 -1.7070653 -1.7271092
## 48 -0.3529563 1.1153302 -0.8922641 0.8816711 1.0089490
## 49 -0.3529563 1.1153302 -0.8922641 0.8816711 1.0089490
## 50 0.3052595 1.1153302 -0.8922641 0.8816711 0.0969296
## 51 0.9634752 1.1153302 -0.8922641 -1.7070653 -0.8150898
## 52 -1.0111720 -0.8922641 1.1153302 -0.4126971 -0.8150898
## 53 0.9634752 -0.8922641 1.1153302 0.8816711 0.0969296
## 54 0.9634752 -0.8922641 1.1153302 -0.4126971 0.0969296
## 55 -1.0111720 -0.8922641 1.1153302 -0.4126971 0.0969296
## 56 -1.0111720 -0.8922641 1.1153302 0.8816711 0.0969296
## 57 -2.3276036 1.1153302 -0.8922641 -0.4126971 -0.8150898
## 58 0.9634752 1.1153302 1.1153302 -1.7070653 -0.8150898
## 59 0.9634752 1.1153302 -0.8922641 0.8816711 0.0969296
## 60 0.3052595 1.1153302 -0.8922641 -0.4126971 -0.8150898
## 61 0.9634752 -0.8922641 1.1153302 0.8816711 -0.8150898
## 62 0.9634752 -0.8922641 1.1153302 -1.7070653 -0.8150898
## 63 -1.0111720 -0.8922641 1.1153302 0.8816711 1.0089490
## 64 -2.3276036 -0.8922641 -0.8922641 0.8816711 1.0089490
## 65 -2.3276036 -0.8922641 -0.8922641 0.8816711 1.0089490
## 66 -1.0111720 -0.8922641 1.1153302 0.8816711 -0.8150898
## 67 0.9634752 -0.8922641 1.1153302 0.8816711 1.0089490
## 68 0.9634752 -0.8922641 1.1153302 0.8816711 -0.8150898
## 69 -1.0111720 -0.8922641 -0.8922641 -0.4126971 0.0969296
## 70 0.9634752 -0.8922641 1.1153302 -0.4126971 -0.8150898
## 71 -1.0111720 -0.8922641 -0.8922641 0.8816711 -1.7271092
## 72 0.9634752 -0.8922641 1.1153302 0.8816711 -1.7271092
## 73 -1.0111720 -0.8922641 1.1153302 -0.4126971 -2.6391285
## 74 -1.0111720 -0.8922641 -0.8922641 -0.4126971 -1.7271092
## 75 -1.0111720 -0.8922641 -0.8922641 -0.4126971 -0.8150898
## 76 0.9634752 -0.8922641 1.1153302 -0.4126971 1.0089490
## 77 0.9634752 1.1153302 -0.8922641 -1.7070653 -0.8150898
## 78 -2.3276036 1.1153302 -0.8922641 0.8816711 1.0089490
## 79 0.9634752 1.1153302 -0.8922641 -0.4126971 0.0969296
## 80 0.9634752 1.1153302 1.1153302 0.8816711 0.0969296
## 81 0.9634752 1.1153302 -0.8922641 0.8816711 -1.7271092
## 82 -1.0111720 -0.8922641 1.1153302 0.8816711 0.0969296
## 83 0.9634752 -0.8922641 -0.8922641 0.8816711 -0.8150898
## 84 0.9634752 -0.8922641 1.1153302 0.8816711 1.0089490
## 85 -1.0111720 1.1153302 -0.8922641 0.8816711 1.0089490
## 86 -0.3529563 1.1153302 1.1153302 -1.7070653 1.0089490
## 87 -1.0111720 -0.8922641 1.1153302 -0.4126971 -1.7271092
## 88 -1.0111720 -0.8922641 -0.8922641 -0.4126971 0.0969296
## 89 -1.0111720 -0.8922641 -0.8922641 -1.7070653 1.0089490
## 90 -0.3529563 1.1153302 1.1153302 -1.7070653 -0.8150898
## 91 0.9634752 -0.8922641 1.1153302 0.8816711 1.0089490
## 92 0.9634752 -0.8922641 1.1153302 -0.4126971 1.0089490
## 93 -1.0111720 -0.8922641 1.1153302 -1.7070653 -1.7271092
## 94 -2.3276036 -0.8922641 1.1153302 0.8816711 1.0089490
## 95 0.3052595 -0.8922641 1.1153302 -1.7070653 -1.7271092
## 96 -2.3276036 1.1153302 -0.8922641 -0.4126971 0.0969296
## 97 0.9634752 -0.8922641 -0.8922641 -0.4126971 0.0969296
## 98 0.9634752 -0.8922641 1.1153302 0.8816711 1.0089490
## 99 -0.3529563 -0.8922641 1.1153302 -1.7070653 -0.8150898
## 100 -0.3529563 1.1153302 -0.8922641 0.8816711 -0.8150898
## 101 -1.0111720 1.1153302 1.1153302 -1.7070653 -0.8150898
## 102 -1.0111720 -0.8922641 1.1153302 0.8816711 1.0089490
## 103 -0.3529563 1.1153302 -0.8922641 -0.4126971 0.0969296
## 104 -1.0111720 -0.8922641 1.1153302 -0.4126971 0.0969296
## 105 0.3052595 1.1153302 -0.8922641 0.8816711 1.0089490
## 106 -1.0111720 1.1153302 -0.8922641 -0.4126971 -1.7271092
## 107 -1.0111720 -0.8922641 1.1153302 0.8816711 1.0089490
## 108 -1.0111720 -0.8922641 1.1153302 0.8816711 -1.7271092
## 109 0.9634752 -0.8922641 -0.8922641 0.8816711 1.0089490
## 110 -1.0111720 -0.8922641 1.1153302 0.8816711 0.0969296
## 111 -1.0111720 1.1153302 -0.8922641 -0.4126971 1.0089490
## 112 0.9634752 1.1153302 -0.8922641 0.8816711 1.0089490
## 113 -1.0111720 1.1153302 -0.8922641 0.8816711 -0.8150898
## 114 0.3052595 1.1153302 -0.8922641 -0.4126971 0.0969296
## 115 0.9634752 -0.8922641 -0.8922641 -0.4126971 -0.8150898
## 116 0.9634752 1.1153302 -0.8922641 -0.4126971 -1.7271092
## 117 -1.0111720 1.1153302 -0.8922641 -1.7070653 -2.6391285
## 118 -0.3529563 1.1153302 -0.8922641 -0.4126971 0.0969296
## 119 -0.3529563 1.1153302 -0.8922641 -0.4126971 -0.8150898
## 120 -2.3276036 1.1153302 -0.8922641 -0.4126971 0.0969296
## 121 -1.0111720 -0.8922641 1.1153302 0.8816711 1.0089490
## 122 -1.0111720 -0.8922641 1.1153302 -0.4126971 -0.8150898
## 123 -1.0111720 -0.8922641 1.1153302 -1.7070653 -2.6391285
## 124 0.9634752 -0.8922641 -0.8922641 0.8816711 1.0089490
## 125 -0.3529563 1.1153302 -0.8922641 0.8816711 1.0089490
## 126 0.9634752 1.1153302 -0.8922641 0.8816711 -0.8150898
## 127 -1.0111720 -0.8922641 1.1153302 -0.4126971 -0.8150898
## 128 0.9634752 1.1153302 -0.8922641 0.8816711 1.0089490
## 129 -1.0111720 1.1153302 1.1153302 -0.4126971 1.0089490
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## C3 C4 C5 C6 C7 CD1
## 1 1.1079375 -0.01497458 -0.1845377 -0.6774502 -0.08301618 -0.04695693
## 2 0.1831671 -0.01497458 -0.1845377 0.2512398 -0.08301618 -0.04695693
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## 145 0.1831671 1.01827176 0.9730167 0.2512398 0.92782792 -0.04695693
## 146 1.1079375 1.01827176 -0.1845377 1.1799298 0.92782792 1.03305255
## 147 1.1079375 1.01827176 0.9730167 1.1799298 0.92782792 1.03305255
## 148 1.1079375 -0.01497458 0.9730167 1.1799298 -0.08301618 -0.04695693
## 149 0.1831671 -0.01497458 0.9730167 1.1799298 0.92782792 1.03305255
## 150 1.1079375 -0.01497458 0.9730167 0.2512398 0.92782792 -0.04695693
## 151 1.1079375 -0.01497458 -1.3420920 0.2512398 -0.08301618 -1.12696642
## 152 0.1831671 1.01827176 0.9730167 0.2512398 0.92782792 1.03305255
## 153 0.1831671 1.01827176 -0.1845377 0.2512398 0.92782792 1.03305255
## 154 0.1831671 1.01827176 -0.1845377 0.2512398 0.92782792 -0.04695693
## 155 1.1079375 -0.01497458 -0.1845377 0.2512398 0.92782792 1.03305255
## 156 0.1831671 1.01827176 0.9730167 1.1799298 -0.08301618 1.03305255
## 157 0.1831671 1.01827176 0.9730167 0.2512398 0.92782792 -0.04695693
## 158 0.1831671 1.01827176 -0.1845377 0.2512398 0.92782792 -0.04695693
## 159 0.1831671 1.01827176 0.9730167 0.2512398 0.92782792 -0.04695693
## 160 0.1831671 1.01827176 0.9730167 0.2512398 0.92782792 1.03305255
## 161 0.1831671 1.01827176 0.9730167 1.1799298 -0.08301618 1.03305255
## 162 1.1079375 -0.01497458 -0.1845377 0.2512398 0.92782792 1.03305255
## 163 0.1831671 1.01827176 0.9730167 1.1799298 -0.08301618 1.03305255
## 164 1.1079375 -0.01497458 -1.3420920 0.2512398 0.92782792 1.03305255
## 165 1.1079375 1.01827176 0.9730167 -0.6774502 -2.10470440 -0.04695693
## 166 0.1831671 1.01827176 -1.3420920 0.2512398 0.92782792 1.03305255
## 167 1.1079375 1.01827176 -0.1845377 0.2512398 -0.08301618 1.03305255
## 168 0.1831671 -0.01497458 0.9730167 0.2512398 0.92782792 -0.04695693
## 169 -0.7416033 -0.01497458 -1.3420920 0.2512398 -0.08301618 -0.04695693
## 170 0.1831671 -0.01497458 -0.1845377 1.1799298 -0.08301618 -0.04695693
## 171 0.1831671 1.01827176 0.9730167 1.1799298 0.92782792 -2.20697590
## 172 1.1079375 -1.04822093 0.9730167 0.2512398 -0.08301618 -0.04695693
## 173 0.1831671 -0.01497458 -0.1845377 1.1799298 0.92782792 1.03305255
## 174 0.1831671 -1.04822093 -2.4996464 -0.6774502 -1.09386029 -0.04695693
## 175 1.1079375 -1.04822093 0.9730167 0.2512398 0.92782792 1.03305255
## 176 1.1079375 -0.01497458 0.9730167 1.1799298 0.92782792 1.03305255
## 177 -0.7416033 1.01827176 -1.3420920 0.2512398 -0.08301618 -0.04695693
## 178 0.1831671 -1.04822093 -1.3420920 0.2512398 0.92782792 1.03305255
## 179 1.1079375 -0.01497458 -0.1845377 1.1799298 0.92782792 -0.04695693
## 180 -0.7416033 -0.01497458 -0.1845377 0.2512398 0.92782792 -1.12696642
## 181 1.1079375 1.01827176 -1.3420920 0.2512398 0.92782792 1.03305255
## 182 0.1831671 1.01827176 -0.1845377 0.2512398 0.92782792 -0.04695693
## 183 0.1831671 1.01827176 -0.1845377 0.2512398 -0.08301618 1.03305255
## 184 0.1831671 -0.01497458 -0.1845377 0.2512398 0.92782792 -0.04695693
## 185 0.1831671 -0.01497458 0.9730167 -0.6774502 0.92782792 -0.04695693
## 186 1.1079375 -0.01497458 -1.3420920 0.2512398 -0.08301618 1.03305255
## 187 0.1831671 -0.01497458 -0.1845377 1.1799298 -0.08301618 -0.04695693
## 188 0.1831671 -0.01497458 -0.1845377 1.1799298 -1.09386029 -1.12696642
## 189 -0.7416033 1.01827176 -0.1845377 0.2512398 0.92782792 -0.04695693
## 190 0.1831671 -0.01497458 0.9730167 1.1799298 -1.09386029 -1.12696642
## 191 -0.7416033 -0.01497458 -0.1845377 1.1799298 0.92782792 -0.04695693
## 192 0.1831671 -0.01497458 -1.3420920 0.2512398 -0.08301618 -1.12696642
## 193 0.1831671 -0.01497458 0.9730167 0.2512398 0.92782792 -0.04695693
## 194 0.1831671 1.01827176 0.9730167 0.2512398 0.92782792 -0.04695693
## 195 0.1831671 -0.01497458 0.9730167 1.1799298 -0.08301618 1.03305255
## 196 0.1831671 -0.01497458 -0.1845377 0.2512398 -0.08301618 -0.04695693
## 197 0.1831671 1.01827176 -0.1845377 0.2512398 0.92782792 -1.12696642
## 198 0.1831671 -1.04822093 -0.1845377 1.1799298 -0.08301618 -0.04695693
## 199 -0.7416033 -0.01497458 0.9730167 0.2512398 0.92782792 1.03305255
## 200 1.1079375 1.01827176 0.9730167 0.2512398 0.92782792 -1.12696642
## 201 -0.7416033 -2.08146728 -1.3420920 -2.5348302 -2.10470440 -3.28698538
## 202 0.1831671 1.01827176 0.9730167 0.2512398 0.92782792 -0.04695693
## 203 0.1831671 1.01827176 -0.1845377 1.1799298 0.92782792 -0.04695693
## 204 0.1831671 -0.01497458 0.9730167 0.2512398 -0.08301618 1.03305255
## 205 0.1831671 1.01827176 0.9730167 1.1799298 0.92782792 -0.04695693
## 206 0.1831671 1.01827176 0.9730167 0.2512398 -0.08301618 1.03305255
## 207 0.1831671 -0.01497458 -0.1845377 0.2512398 -0.08301618 1.03305255
## CD2 CD3 CD4 CD5 CD6 PSS1
## 1 0.9624742 0.1746467 1.022865567 1.04203517 0.03068393 -1.9084881
## 2 -0.3065204 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 3 -0.3065204 0.1746467 -0.004965367 -0.97386465 -2.08650705 -0.9257592
## 4 -0.3065204 -0.8582636 -0.004965367 -0.97386465 -1.02791156 0.0569698
## 5 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 6 0.9624742 1.2075569 -3.088458168 -2.98976447 1.08927942 -0.9257592
## 7 -0.3065204 -0.8582636 1.022865567 0.03408526 1.08927942 1.0396988
## 8 -1.5755151 -1.8911738 -2.060627234 -1.98181456 -2.08650705 -1.9084881
## 9 0.9624742 0.1746467 1.022865567 1.04203517 1.08927942 -0.9257592
## 10 0.9624742 -0.8582636 -0.004965367 0.03408526 0.03068393 0.0569698
## 11 0.9624742 -1.8911738 -0.004965367 0.03408526 1.08927942 1.0396988
## 12 0.9624742 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 13 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 14 0.9624742 1.2075569 1.022865567 1.04203517 -3.14510254 1.0396988
## 15 -2.8445098 0.1746467 -2.060627234 0.03408526 1.08927942 -1.9084881
## 16 0.9624742 0.1746467 1.022865567 1.04203517 1.08927942 0.0569698
## 17 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 18 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 19 -0.3065204 0.1746467 -0.004965367 -0.97386465 0.03068393 0.0569698
## 20 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 -0.9257592
## 21 0.9624742 1.2075569 -0.004965367 1.04203517 1.08927942 -2.8912171
## 22 0.9624742 1.2075569 1.022865567 0.03408526 0.03068393 -0.9257592
## 23 -1.5755151 0.1746467 -1.032796301 0.03408526 -1.02791156 -0.9257592
## 24 -0.3065204 -0.8582636 -1.032796301 -0.97386465 -1.02791156 0.0569698
## 25 0.9624742 0.1746467 1.022865567 1.04203517 0.03068393 1.0396988
## 26 0.9624742 -2.9240840 -1.032796301 -0.97386465 0.03068393 1.0396988
## 27 0.9624742 -0.8582636 -0.004965367 -0.97386465 -1.02791156 -0.9257592
## 28 -1.5755151 -1.8911738 -2.060627234 -1.98181456 -1.02791156 -0.9257592
## 29 -0.3065204 0.1746467 -0.004965367 -0.97386465 -1.02791156 -0.9257592
## 30 -4.1135044 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 31 -1.5755151 -1.8911738 -1.032796301 -0.97386465 -1.02791156 0.0569698
## 32 -0.3065204 -0.8582636 -0.004965367 0.03408526 0.03068393 0.0569698
## 33 -1.5755151 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 34 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 35 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 36 -1.5755151 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 37 0.9624742 1.2075569 1.022865567 1.04203517 0.03068393 -0.9257592
## 38 -0.3065204 -1.8911738 -2.060627234 -1.98181456 -1.02791156 0.0569698
## 39 -0.3065204 1.2075569 -1.032796301 1.04203517 0.03068393 0.0569698
## 40 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 41 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 42 -0.3065204 0.1746467 -1.032796301 -0.97386465 -1.02791156 0.0569698
## 43 0.9624742 0.1746467 1.022865567 1.04203517 1.08927942 1.0396988
## 44 -0.3065204 -0.8582636 -2.060627234 -1.98181456 -2.08650705 -1.9084881
## 45 -0.3065204 0.1746467 -0.004965367 1.04203517 0.03068393 0.0569698
## 46 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 47 0.9624742 1.2075569 -0.004965367 -0.97386465 1.08927942 0.0569698
## 48 0.9624742 -0.8582636 -1.032796301 1.04203517 -1.02791156 -0.9257592
## 49 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 50 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 51 -0.3065204 -0.8582636 -1.032796301 -0.97386465 0.03068393 -0.9257592
## 52 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 53 -1.5755151 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 54 0.9624742 0.1746467 1.022865567 0.03408526 0.03068393 -0.9257592
## 55 -2.8445098 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 56 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 57 -0.3065204 -0.8582636 -1.032796301 -0.97386465 0.03068393 0.0569698
## 58 -0.3065204 -2.9240840 1.022865567 -2.98976447 -3.14510254 0.0569698
## 59 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 60 -1.5755151 -1.8911738 -1.032796301 -0.97386465 -1.02791156 -1.9084881
## 61 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 -0.9257592
## 62 -0.3065204 -0.8582636 -1.032796301 0.03408526 1.08927942 -0.9257592
## 63 0.9624742 -1.8911738 1.022865567 1.04203517 -1.02791156 1.0396988
## 64 -1.5755151 1.2075569 -1.032796301 0.03408526 0.03068393 0.0569698
## 65 -1.5755151 1.2075569 -1.032796301 0.03408526 0.03068393 0.0569698
## 66 0.9624742 0.1746467 -0.004965367 -0.97386465 0.03068393 -0.9257592
## 67 0.9624742 1.2075569 1.022865567 -0.97386465 1.08927942 1.0396988
## 68 0.9624742 -0.8582636 -1.032796301 -1.98181456 -3.14510254 1.0396988
## 69 0.9624742 -0.8582636 -0.004965367 0.03408526 -1.02791156 -2.8912171
## 70 -1.5755151 -0.8582636 -2.060627234 0.03408526 0.03068393 -1.9084881
## 71 0.9624742 -0.8582636 1.022865567 1.04203517 1.08927942 0.0569698
## 72 -0.3065204 0.1746467 -0.004965367 -0.97386465 0.03068393 -1.9084881
## 73 0.9624742 -1.8911738 -2.060627234 -0.97386465 0.03068393 1.0396988
## 74 -0.3065204 1.2075569 -2.060627234 0.03408526 -1.02791156 -2.8912171
## 75 -0.3065204 0.1746467 -0.004965367 -0.97386465 0.03068393 0.0569698
## 76 -0.3065204 -0.8582636 -2.060627234 -2.98976447 -3.14510254 -2.8912171
## 77 -0.3065204 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 78 0.9624742 0.1746467 -0.004965367 0.03408526 0.03068393 1.0396988
## 79 -0.3065204 0.1746467 -2.060627234 -1.98181456 -1.02791156 0.0569698
## 80 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 81 -0.3065204 0.1746467 -0.004965367 1.04203517 1.08927942 -1.9084881
## 82 -0.3065204 0.1746467 1.022865567 -0.97386465 0.03068393 1.0396988
## 83 -1.5755151 -2.9240840 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 84 -1.5755151 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 85 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 86 -0.3065204 -0.8582636 -1.032796301 -0.97386465 -1.02791156 0.0569698
## 87 0.9624742 -0.8582636 -1.032796301 0.03408526 -1.02791156 1.0396988
## 88 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 89 0.9624742 0.1746467 -0.004965367 1.04203517 1.08927942 0.0569698
## 90 -0.3065204 -0.8582636 -1.032796301 -0.97386465 -1.02791156 0.0569698
## 91 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 0.0569698
## 92 0.9624742 -0.8582636 -0.004965367 0.03408526 0.03068393 -0.9257592
## 93 -1.5755151 -0.8582636 -1.032796301 -1.98181456 -1.02791156 -0.9257592
## 94 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 95 0.9624742 -1.8911738 -3.088458168 -2.98976447 -3.14510254 -2.8912171
## 96 -0.3065204 0.1746467 -0.004965367 -0.97386465 -1.02791156 1.0396988
## 97 -0.3065204 -0.8582636 -0.004965367 0.03408526 0.03068393 0.0569698
## 98 0.9624742 -0.8582636 -1.032796301 -0.97386465 -1.02791156 1.0396988
## 99 -1.5755151 -1.8911738 -0.004965367 0.03408526 0.03068393 -0.9257592
## 100 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 101 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 102 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 103 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 104 0.9624742 0.1746467 1.022865567 0.03408526 1.08927942 -1.9084881
## 105 0.9624742 -0.8582636 1.022865567 1.04203517 1.08927942 -0.9257592
## 106 -0.3065204 -1.8911738 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 107 -0.3065204 -1.8911738 -0.004965367 -0.97386465 -1.02791156 0.0569698
## 108 0.9624742 -0.8582636 -2.060627234 0.03408526 0.03068393 1.0396988
## 109 0.9624742 0.1746467 -0.004965367 0.03408526 0.03068393 1.0396988
## 110 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 -0.9257592
## 111 -0.3065204 1.2075569 -0.004965367 0.03408526 1.08927942 0.0569698
## 112 -0.3065204 1.2075569 1.022865567 1.04203517 1.08927942 0.0569698
## 113 -0.3065204 -0.8582636 -1.032796301 0.03408526 0.03068393 0.0569698
## 114 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 115 -0.3065204 0.1746467 -1.032796301 -0.97386465 -1.02791156 0.0569698
## 116 -1.5755151 -1.8911738 -2.060627234 -0.97386465 -1.02791156 0.0569698
## 117 0.9624742 1.2075569 1.022865567 1.04203517 -3.14510254 -2.8912171
## 118 -0.3065204 -1.8911738 -2.060627234 -0.97386465 -1.02791156 -1.9084881
## 119 -0.3065204 0.1746467 -0.004965367 0.03408526 -1.02791156 -1.9084881
## 120 -0.3065204 -0.8582636 -0.004965367 0.03408526 0.03068393 0.0569698
## 121 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 0.0569698
## 122 -0.3065204 -1.8911738 -2.060627234 -1.98181456 -1.02791156 0.0569698
## 123 -0.3065204 -0.8582636 -1.032796301 -1.98181456 -1.02791156 -1.9084881
## 124 -0.3065204 0.1746467 1.022865567 0.03408526 0.03068393 0.0569698
## 125 -0.3065204 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 126 0.9624742 0.1746467 -0.004965367 0.03408526 1.08927942 1.0396988
## 127 -0.3065204 1.2075569 1.022865567 1.04203517 -1.02791156 1.0396988
## 128 0.9624742 1.2075569 1.022865567 0.03408526 0.03068393 1.0396988
## 129 -1.5755151 0.1746467 1.022865567 1.04203517 1.08927942 1.0396988
## 130 0.9624742 0.1746467 -1.032796301 1.04203517 0.03068393 1.0396988
## 131 -0.3065204 -0.8582636 -0.004965367 1.04203517 0.03068393 -0.9257592
## 132 -0.3065204 0.1746467 -0.004965367 1.04203517 1.08927942 0.0569698
## 133 0.9624742 0.1746467 -0.004965367 1.04203517 1.08927942 1.0396988
## 134 -1.5755151 1.2075569 -0.004965367 1.04203517 -1.02791156 0.0569698
## 135 -0.3065204 0.1746467 -1.032796301 -0.97386465 1.08927942 0.0569698
## 136 0.9624742 1.2075569 1.022865567 0.03408526 0.03068393 0.0569698
## 137 -0.3065204 -0.8582636 -1.032796301 -0.97386465 0.03068393 0.0569698
## 138 0.9624742 -0.8582636 1.022865567 0.03408526 -1.02791156 0.0569698
## 139 -0.3065204 -0.8582636 1.022865567 -0.97386465 1.08927942 -0.9257592
## 140 -0.3065204 0.1746467 -0.004965367 1.04203517 1.08927942 0.0569698
## 141 -0.3065204 0.1746467 -0.004965367 1.04203517 1.08927942 1.0396988
## 142 -0.3065204 -0.8582636 1.022865567 1.04203517 -1.02791156 1.0396988
## 143 0.9624742 1.2075569 -0.004965367 1.04203517 1.08927942 0.0569698
## 144 0.9624742 -0.8582636 1.022865567 0.03408526 0.03068393 1.0396988
## 145 0.9624742 0.1746467 -0.004965367 0.03408526 1.08927942 1.0396988
## 146 0.9624742 -0.8582636 -0.004965367 1.04203517 0.03068393 1.0396988
## 147 -0.3065204 1.2075569 1.022865567 1.04203517 0.03068393 1.0396988
## 148 -0.3065204 1.2075569 -0.004965367 -0.97386465 0.03068393 1.0396988
## 149 0.9624742 1.2075569 1.022865567 0.03408526 1.08927942 0.0569698
## 150 0.9624742 -0.8582636 -0.004965367 0.03408526 1.08927942 0.0569698
## 151 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 152 0.9624742 1.2075569 -0.004965367 1.04203517 1.08927942 0.0569698
## 153 0.9624742 1.2075569 1.022865567 0.03408526 0.03068393 1.0396988
## 154 -0.3065204 0.1746467 1.022865567 0.03408526 0.03068393 0.0569698
## 155 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 0.0569698
## 156 0.9624742 1.2075569 1.022865567 0.03408526 0.03068393 0.0569698
## 157 0.9624742 1.2075569 1.022865567 0.03408526 1.08927942 1.0396988
## 158 -0.3065204 0.1746467 -0.004965367 1.04203517 1.08927942 0.0569698
## 159 -0.3065204 0.1746467 -0.004965367 0.03408526 0.03068393 1.0396988
## 160 0.9624742 0.1746467 -0.004965367 1.04203517 1.08927942 0.0569698
## 161 0.9624742 1.2075569 1.022865567 0.03408526 0.03068393 0.0569698
## 162 0.9624742 1.2075569 1.022865567 0.03408526 1.08927942 0.0569698
## 163 0.9624742 1.2075569 -0.004965367 1.04203517 1.08927942 0.0569698
## 164 -0.3065204 -0.8582636 -1.032796301 -0.97386465 -1.02791156 1.0396988
## 165 0.9624742 0.1746467 1.022865567 0.03408526 1.08927942 1.0396988
## 166 0.9624742 -0.8582636 -0.004965367 -0.97386465 1.08927942 -0.9257592
## 167 -1.5755151 0.1746467 1.022865567 0.03408526 1.08927942 1.0396988
## 168 0.9624742 0.1746467 -0.004965367 -0.97386465 -1.02791156 -0.9257592
## 169 -0.3065204 1.2075569 -0.004965367 -0.97386465 1.08927942 -0.9257592
## 170 -0.3065204 0.1746467 -1.032796301 0.03408526 1.08927942 1.0396988
## 171 -1.5755151 0.1746467 1.022865567 0.03408526 0.03068393 1.0396988
## 172 -1.5755151 0.1746467 -0.004965367 0.03408526 -1.02791156 0.0569698
## 173 -2.8445098 0.1746467 -0.004965367 -0.97386465 0.03068393 0.0569698
## 174 -0.3065204 -0.8582636 -1.032796301 -0.97386465 -1.02791156 -0.9257592
## 175 0.9624742 0.1746467 1.022865567 1.04203517 1.08927942 1.0396988
## 176 -0.3065204 -0.8582636 1.022865567 0.03408526 0.03068393 0.0569698
## 177 0.9624742 0.1746467 1.022865567 1.04203517 0.03068393 0.0569698
## 178 -0.3065204 0.1746467 -0.004965367 1.04203517 1.08927942 1.0396988
## 179 -0.3065204 0.1746467 1.022865567 0.03408526 0.03068393 0.0569698
## 180 -0.3065204 -0.8582636 1.022865567 -0.97386465 1.08927942 1.0396988
## 181 0.9624742 0.1746467 1.022865567 1.04203517 0.03068393 1.0396988
## 182 -1.5755151 0.1746467 1.022865567 1.04203517 1.08927942 1.0396988
## 183 -0.3065204 0.1746467 -0.004965367 1.04203517 0.03068393 1.0396988
## 184 -1.5755151 1.2075569 1.022865567 1.04203517 0.03068393 0.0569698
## 185 -0.3065204 0.1746467 -1.032796301 1.04203517 1.08927942 1.0396988
## 186 0.9624742 0.1746467 -0.004965367 0.03408526 0.03068393 1.0396988
## 187 -0.3065204 -0.8582636 -0.004965367 1.04203517 0.03068393 -0.9257592
## 188 -0.3065204 1.2075569 1.022865567 0.03408526 0.03068393 0.0569698
## 189 -1.5755151 0.1746467 -0.004965367 1.04203517 0.03068393 1.0396988
## 190 0.9624742 1.2075569 1.022865567 1.04203517 0.03068393 1.0396988
## 191 -0.3065204 0.1746467 -0.004965367 1.04203517 -1.02791156 1.0396988
## 192 -0.3065204 -0.8582636 1.022865567 1.04203517 0.03068393 0.0569698
## 193 -0.3065204 1.2075569 1.022865567 0.03408526 0.03068393 1.0396988
## 194 0.9624742 0.1746467 1.022865567 1.04203517 0.03068393 1.0396988
## 195 -0.3065204 0.1746467 1.022865567 0.03408526 0.03068393 0.0569698
## 196 0.9624742 0.1746467 1.022865567 0.03408526 0.03068393 0.0569698
## 197 -0.3065204 0.1746467 1.022865567 1.04203517 1.08927942 1.0396988
## 198 0.9624742 0.1746467 -0.004965367 0.03408526 0.03068393 1.0396988
## 199 -0.3065204 0.1746467 -0.004965367 1.04203517 0.03068393 1.0396988
## 200 0.9624742 1.2075569 1.022865567 1.04203517 1.08927942 1.0396988
## 201 -4.1135044 -1.8911738 -2.060627234 -2.98976447 -2.08650705 -0.9257592
## 202 -0.3065204 1.2075569 1.022865567 1.04203517 0.03068393 1.0396988
## 203 -0.3065204 0.1746467 1.022865567 0.03408526 0.03068393 0.0569698
## 204 -0.3065204 1.2075569 -1.032796301 1.04203517 0.03068393 1.0396988
## 205 0.9624742 1.2075569 -0.004965367 1.04203517 0.03068393 1.0396988
## 206 -0.3065204 0.1746467 1.022865567 1.04203517 0.03068393 -0.9257592
## 207 -0.3065204 1.2075569 -0.004965367 0.03408526 1.08927942 -0.9257592
## PSS2 PSS3 PSS4 DL1 DL2 DL3
## 1 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 2 -1.250571902 -1.122770479 -1.3200661 -1.5195427 -0.3757110 -0.4544031
## 3 -0.006012365 -2.240143024 -0.1371497 -1.5195427 -1.6719138 -0.4544031
## 4 -1.250571902 -0.005397935 1.0457667 -0.2811752 -0.3757110 0.9288534
## 5 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 6 -1.250571902 1.111974609 1.0457667 -1.5195427 0.9204919 -1.8376596
## 7 1.238547172 1.111974609 1.0457667 -1.5195427 -0.3757110 0.9288534
## 8 -1.250571902 -1.122770479 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 9 1.238547172 1.111974609 1.0457667 -0.2811752 -0.3757110 -0.4544031
## 10 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 11 1.238547172 1.111974609 1.0457667 -2.7579101 -2.9681167 0.9288534
## 12 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 13 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 14 -1.250571902 -2.240143024 -3.6858989 0.9571922 0.9204919 -1.8376596
## 15 -0.006012365 -0.005397935 1.0457667 -0.2811752 -0.3757110 -0.4544031
## 16 -1.250571902 -1.122770479 1.0457667 -1.5195427 -0.3757110 -1.8376596
## 17 -0.006012365 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 18 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 19 -0.006012365 -1.122770479 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 20 -0.006012365 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 21 -1.250571902 -1.122770479 -1.3200661 0.9571922 0.9204919 0.9288534
## 22 1.238547172 1.111974609 -1.3200661 0.9571922 0.9204919 0.9288534
## 23 -1.250571902 -1.122770479 -1.3200661 -2.7579101 -1.6719138 -1.8376596
## 24 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 -0.4544031
## 25 -0.006012365 -0.005397935 1.0457667 0.9571922 0.9204919 0.9288534
## 26 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 27 -2.495131439 -1.122770479 -1.3200661 -1.5195427 -1.6719138 -1.8376596
## 28 -1.250571902 -1.122770479 -1.3200661 -0.2811752 -0.3757110 -1.8376596
## 29 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 30 -1.250571902 -1.122770479 -1.3200661 -2.7579101 -1.6719138 -1.8376596
## 31 -1.250571902 -1.122770479 -1.3200661 -1.5195427 -1.6719138 -1.8376596
## 32 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -1.8376596
## 33 -1.250571902 -1.122770479 -1.3200661 -1.5195427 -1.6719138 -1.8376596
## 34 -0.006012365 1.111974609 1.0457667 -1.5195427 -1.6719138 -1.8376596
## 35 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 36 -1.250571902 -1.122770479 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 37 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 38 -1.250571902 -0.005397935 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 39 1.238547172 -0.005397935 1.0457667 0.9571922 -0.3757110 0.9288534
## 40 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 41 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 42 -0.006012365 -0.005397935 -0.1371497 -1.5195427 -1.6719138 -0.4544031
## 43 1.238547172 1.111974609 -0.1371497 0.9571922 0.9204919 0.9288534
## 44 -1.250571902 -1.122770479 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 45 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 46 -1.250571902 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 47 -0.006012365 -1.122770479 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 48 -1.250571902 1.111974609 1.0457667 -1.5195427 -1.6719138 0.9288534
## 49 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 50 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 51 -1.250571902 -1.122770479 -0.1371497 -1.5195427 -0.3757110 -1.8376596
## 52 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 53 -1.250571902 -1.122770479 -1.3200661 -1.5195427 -1.6719138 -1.8376596
## 54 -1.250571902 -1.122770479 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 55 -1.250571902 -0.005397935 -0.1371497 -0.2811752 -1.6719138 -0.4544031
## 56 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 57 -1.250571902 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 58 -1.250571902 -1.122770479 -1.3200661 -1.5195427 -1.6719138 -1.8376596
## 59 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 60 -1.250571902 -1.122770479 -1.3200661 0.9571922 -0.3757110 -0.4544031
## 61 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 62 -1.250571902 -1.122770479 -1.3200661 -0.2811752 -0.3757110 -1.8376596
## 63 -1.250571902 -1.122770479 1.0457667 0.9571922 0.9204919 0.9288534
## 64 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 -0.4544031
## 65 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 -0.4544031
## 66 -0.006012365 -1.122770479 1.0457667 -0.2811752 -0.3757110 -0.4544031
## 67 1.238547172 1.111974609 1.0457667 -0.2811752 -0.3757110 0.9288534
## 68 -0.006012365 -1.122770479 -0.1371497 0.9571922 0.9204919 0.9288534
## 69 -0.006012365 -0.005397935 -2.5029825 0.9571922 0.9204919 0.9288534
## 70 -0.006012365 -1.122770479 -0.1371497 0.9571922 0.9204919 0.9288534
## 71 -0.006012365 1.111974609 1.0457667 0.9571922 0.9204919 -0.4544031
## 72 -0.006012365 -1.122770479 -0.1371497 0.9571922 0.9204919 0.9288534
## 73 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 74 -1.250571902 -0.005397935 1.0457667 0.9571922 0.9204919 0.9288534
## 75 -2.495131439 -0.005397935 -0.1371497 -0.2811752 -2.9681167 -1.8376596
## 76 -0.006012365 -1.122770479 -1.3200661 0.9571922 0.9204919 -0.4544031
## 77 -1.250571902 -1.122770479 -1.3200661 -1.5195427 -1.6719138 -1.8376596
## 78 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 79 -1.250571902 -0.005397935 -0.1371497 -2.7579101 -2.9681167 -3.2209161
## 80 -0.006012365 -1.122770479 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 81 1.238547172 -2.240143024 -0.1371497 0.9571922 0.9204919 0.9288534
## 82 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 83 -2.495131439 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 84 -1.250571902 -1.122770479 -1.3200661 0.9571922 0.9204919 0.9288534
## 85 1.238547172 1.111974609 1.0457667 -1.5195427 0.9204919 0.9288534
## 86 -0.006012365 -1.122770479 1.0457667 -0.2811752 -0.3757110 -0.4544031
## 87 -1.250571902 -0.005397935 -1.3200661 0.9571922 -0.3757110 0.9288534
## 88 -0.006012365 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 89 1.238547172 -0.005397935 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 90 -0.006012365 -1.122770479 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 91 1.238547172 -0.005397935 -0.1371497 -0.2811752 0.9204919 -0.4544031
## 92 -1.250571902 1.111974609 -0.1371497 -2.7579101 -0.3757110 -1.8376596
## 93 -0.006012365 -0.005397935 -1.3200661 -1.5195427 -1.6719138 -0.4544031
## 94 -0.006012365 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 95 1.238547172 -3.357515568 -2.5029825 0.9571922 0.9204919 0.9288534
## 96 1.238547172 -1.122770479 -1.3200661 0.9571922 0.9204919 0.9288534
## 97 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 98 -0.006012365 1.111974609 -0.1371497 0.9571922 0.9204919 0.9288534
## 99 -1.250571902 -1.122770479 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 100 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 101 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 102 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 103 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 104 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 -0.4544031
## 105 1.238547172 -0.005397935 1.0457667 0.9571922 0.9204919 0.9288534
## 106 -1.250571902 -2.240143024 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 107 1.238547172 -0.005397935 -0.1371497 0.9571922 0.9204919 -0.4544031
## 108 -0.006012365 -0.005397935 -1.3200661 -1.5195427 -0.3757110 0.9288534
## 109 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 110 1.238547172 1.111974609 1.0457667 -0.2811752 0.9204919 0.9288534
## 111 -0.006012365 -0.005397935 1.0457667 -0.2811752 -0.3757110 -0.4544031
## 112 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 113 -0.006012365 -0.005397935 1.0457667 -0.2811752 -0.3757110 -0.4544031
## 114 -0.006012365 -0.005397935 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 115 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 -0.4544031
## 116 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 -0.4544031
## 117 1.238547172 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 118 -0.006012365 -1.122770479 -0.1371497 0.9571922 0.9204919 0.9288534
## 119 -1.250571902 -1.122770479 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 120 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 121 -0.006012365 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 122 -0.006012365 1.111974609 1.0457667 -0.2811752 -0.3757110 -0.4544031
## 123 -2.495131439 -1.122770479 -1.3200661 0.9571922 0.9204919 0.9288534
## 124 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 -0.4544031
## 125 1.238547172 1.111974609 -0.1371497 0.9571922 0.9204919 0.9288534
## 126 -1.250571902 -0.005397935 -1.3200661 -1.5195427 0.9204919 -1.8376596
## 127 1.238547172 -0.005397935 -1.3200661 -0.2811752 -1.6719138 -1.8376596
## 128 1.238547172 -0.005397935 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 129 1.238547172 -1.122770479 -0.1371497 0.9571922 0.9204919 0.9288534
## 130 -1.250571902 -1.122770479 -1.3200661 -1.5195427 -1.6719138 -0.4544031
## 131 1.238547172 1.111974609 -1.3200661 -0.2811752 0.9204919 0.9288534
## 132 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 0.9288534
## 133 1.238547172 -0.005397935 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 134 -0.006012365 1.111974609 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## 135 -1.250571902 1.111974609 -0.1371497 -1.5195427 -1.6719138 0.9288534
## 136 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 0.9288534
## 137 -0.006012365 -0.005397935 -1.3200661 -1.5195427 -0.3757110 -0.4544031
## 138 -1.250571902 -1.122770479 -0.1371497 -0.2811752 -1.6719138 0.9288534
## 139 -1.250571902 -1.122770479 1.0457667 -0.2811752 -0.3757110 -1.8376596
## 140 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 -0.4544031
## 141 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 0.9288534
## 142 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 0.9288534
## 143 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 -0.4544031
## 144 -0.006012365 1.111974609 -0.1371497 -0.2811752 0.9204919 0.9288534
## 145 1.238547172 1.111974609 -1.3200661 -0.2811752 -0.3757110 0.9288534
## 146 -0.006012365 -0.005397935 1.0457667 -0.2811752 0.9204919 -0.4544031
## 147 -0.006012365 1.111974609 -0.1371497 -0.2811752 0.9204919 -1.8376596
## 148 1.238547172 -1.122770479 -0.1371497 0.9571922 -0.3757110 0.9288534
## 149 1.238547172 -0.005397935 -1.3200661 -0.2811752 0.9204919 0.9288534
## 150 1.238547172 1.111974609 1.0457667 -0.2811752 0.9204919 -0.4544031
## 151 1.238547172 -0.005397935 -0.1371497 0.9571922 0.9204919 0.9288534
## 152 1.238547172 -0.005397935 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 153 1.238547172 -0.005397935 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 154 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 -0.4544031
## 155 1.238547172 -0.005397935 -0.1371497 -0.2811752 0.9204919 -0.4544031
## 156 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 -0.4544031
## 157 1.238547172 -0.005397935 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 158 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 0.9288534
## 159 1.238547172 -0.005397935 -0.1371497 -0.2811752 0.9204919 -0.4544031
## 160 -0.006012365 -0.005397935 -0.1371497 0.9571922 -0.3757110 0.9288534
## 161 1.238547172 -0.005397935 -0.1371497 0.9571922 -0.3757110 0.9288534
## 162 1.238547172 -0.005397935 1.0457667 0.9571922 -0.3757110 -0.4544031
## 163 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 -0.4544031
## 164 -0.006012365 -0.005397935 -0.1371497 -0.2811752 0.9204919 -0.4544031
## 165 1.238547172 -0.005397935 -2.5029825 -1.5195427 -0.3757110 -1.8376596
## 166 -1.250571902 -2.240143024 -0.1371497 -1.5195427 -0.3757110 -0.4544031
## 167 1.238547172 -1.122770479 -0.1371497 0.9571922 0.9204919 0.9288534
## 168 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -1.6719138 -1.8376596
## 169 -0.006012365 1.111974609 -0.1371497 0.9571922 -0.3757110 -0.4544031
## 170 -0.006012365 -0.005397935 1.0457667 0.9571922 -0.3757110 0.9288534
## 171 -0.006012365 -0.005397935 1.0457667 -0.2811752 -1.6719138 -0.4544031
## 172 -0.006012365 -1.122770479 -0.1371497 -1.5195427 -0.3757110 0.9288534
## 173 1.238547172 -0.005397935 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 174 -1.250571902 -2.240143024 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 175 -0.006012365 1.111974609 -0.1371497 0.9571922 0.9204919 -0.4544031
## 176 -0.006012365 -0.005397935 -1.3200661 0.9571922 -0.3757110 0.9288534
## 177 -0.006012365 -1.122770479 -0.1371497 -1.5195427 0.9204919 0.9288534
## 178 -1.250571902 -0.005397935 -0.1371497 -0.2811752 -0.3757110 0.9288534
## 179 -0.006012365 1.111974609 -0.1371497 -1.5195427 -0.3757110 0.9288534
## 180 -0.006012365 1.111974609 1.0457667 0.9571922 -0.3757110 -0.4544031
## 181 1.238547172 1.111974609 -0.1371497 -1.5195427 -0.3757110 0.9288534
## 182 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 -0.4544031
## 183 -0.006012365 -0.005397935 -0.1371497 -1.5195427 0.9204919 -0.4544031
## 184 -0.006012365 -0.005397935 1.0457667 0.9571922 -0.3757110 -1.8376596
## 185 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 -0.4544031
## 186 -0.006012365 -0.005397935 1.0457667 -0.2811752 -0.3757110 0.9288534
## 187 -0.006012365 -1.122770479 1.0457667 -0.2811752 0.9204919 0.9288534
## 188 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 -0.4544031
## 189 -1.250571902 1.111974609 1.0457667 0.9571922 0.9204919 0.9288534
## 190 -1.250571902 -1.122770479 -0.1371497 -0.2811752 -1.6719138 0.9288534
## 191 1.238547172 -0.005397935 1.0457667 -0.2811752 -1.6719138 -0.4544031
## 192 -0.006012365 -0.005397935 -1.3200661 -0.2811752 0.9204919 0.9288534
## 193 -0.006012365 -0.005397935 -0.1371497 -0.2811752 0.9204919 0.9288534
## 194 -1.250571902 1.111974609 -1.3200661 -0.2811752 -1.6719138 0.9288534
## 195 -0.006012365 -0.005397935 -0.1371497 -0.2811752 -0.3757110 0.9288534
## 196 -0.006012365 1.111974609 1.0457667 -0.2811752 0.9204919 0.9288534
## 197 1.238547172 -1.122770479 1.0457667 -0.2811752 -0.3757110 0.9288534
## 198 -0.006012365 -1.122770479 1.0457667 -0.2811752 0.9204919 0.9288534
## 199 -0.006012365 -0.005397935 -0.1371497 -0.2811752 0.9204919 0.9288534
## 200 -0.006012365 -1.122770479 1.0457667 -0.2811752 -1.6719138 0.9288534
## 201 -3.739690977 -3.357515568 -3.6858989 -2.7579101 -4.2643195 -3.2209161
## 202 -1.250571902 -1.122770479 -1.3200661 0.9571922 -1.6719138 -0.4544031
## 203 1.238547172 -0.005397935 -1.3200661 -0.2811752 -0.3757110 -0.4544031
## 204 1.238547172 -1.122770479 -0.1371497 -1.5195427 -0.3757110 0.9288534
## 205 -0.006012365 -0.005397935 -0.1371497 -1.5195427 0.9204919 -0.4544031
## 206 -0.006012365 1.111974609 -0.1371497 0.9571922 0.9204919 0.9288534
## 207 -1.250571902 -1.122770479 -0.1371497 -0.2811752 -0.3757110 -0.4544031
## DL4 DL5 DL6 DL7 DL8 DL9
## 1 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 2 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 3 -1.5030713 -0.1821828 -1.7729681 0.8313842 -1.6394499 -0.4231506
## 4 -0.2484916 -0.1821828 -0.4384067 0.8313842 -1.6394499 0.9040036
## 5 1.0060881 0.9606005 0.8961548 0.8313842 -0.3778658 0.9040036
## 6 -0.2484916 -1.3249662 -0.4384067 0.8313842 0.8837183 -3.0774590
## 7 -0.2484916 -0.1821828 0.8961548 0.8313842 0.8837183 0.9040036
## 8 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 9 -0.2484916 -0.1821828 -0.4384067 0.8313842 0.8837183 0.9040036
## 10 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 11 -0.2484916 -1.3249662 -1.7729681 0.8313842 -1.6394499 -1.7503048
## 12 -0.2484916 -0.1821828 -0.4384067 0.8313842 0.8837183 -0.4231506
## 13 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 14 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 15 -0.2484916 -0.1821828 -1.7729681 0.8313842 0.8837183 0.9040036
## 16 -0.2484916 0.9606005 -0.4384067 0.8313842 0.8837183 -1.7503048
## 17 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 18 -0.2484916 -0.1821828 0.8961548 -0.4340315 -0.3778658 -0.4231506
## 19 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 20 1.0060881 -1.3249662 0.8961548 0.8313842 0.8837183 -0.4231506
## 21 1.0060881 -0.1821828 -0.4384067 -0.4340315 0.8837183 0.9040036
## 22 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 23 -2.7576510 -1.3249662 -1.7729681 -1.6994471 -1.6394499 -1.7503048
## 24 -0.2484916 -1.3249662 -0.4384067 0.8313842 0.8837183 -0.4231506
## 25 1.0060881 -0.1821828 -0.4384067 0.8313842 0.8837183 0.9040036
## 26 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 27 -1.5030713 -1.3249662 -1.7729681 -1.6994471 -1.6394499 -1.7503048
## 28 -1.5030713 -1.3249662 -1.7729681 -0.4340315 -0.3778658 -0.4231506
## 29 1.0060881 -0.1821828 0.8961548 0.8313842 0.8837183 0.9040036
## 30 -1.5030713 -1.3249662 -1.7729681 -1.6994471 -1.6394499 -1.7503048
## 31 -2.7576510 -3.6105328 -1.7729681 -1.6994471 -1.6394499 -3.0774590
## 32 -1.5030713 -1.3249662 -1.7729681 -1.6994471 -0.3778658 -0.4231506
## 33 -1.5030713 -1.3249662 -1.7729681 -1.6994471 -1.6394499 -1.7503048
## 34 -1.5030713 -1.3249662 -0.4384067 -1.6994471 -1.6394499 -1.7503048
## 35 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 36 -0.2484916 -0.1821828 -0.4384067 -1.6994471 -1.6394499 -0.4231506
## 37 -1.5030713 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 38 -2.7576510 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 39 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 0.9040036
## 40 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 41 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 42 -1.5030713 -1.3249662 -3.1075295 -0.4340315 -0.3778658 -1.7503048
## 43 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 44 -0.2484916 -2.4677495 -0.4384067 -2.9648627 -0.3778658 -0.4231506
## 45 -2.7576510 -2.4677495 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 46 1.0060881 -0.1821828 -0.4384067 0.8313842 0.8837183 0.9040036
## 47 -0.2484916 -1.3249662 -1.7729681 0.8313842 0.8837183 -0.4231506
## 48 -1.5030713 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 49 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 50 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 51 -1.5030713 -1.3249662 -1.7729681 -0.4340315 -1.6394499 -1.7503048
## 52 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 53 -1.5030713 -1.3249662 -1.7729681 -1.6994471 -1.6394499 -1.7503048
## 54 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 55 -1.5030713 0.9606005 -1.7729681 -1.6994471 0.8837183 0.9040036
## 56 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 57 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 58 -1.5030713 -1.3249662 -1.7729681 -1.6994471 -1.6394499 -1.7503048
## 59 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 60 -0.2484916 -0.1821828 -0.4384067 0.8313842 0.8837183 0.9040036
## 61 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 -0.4231506
## 62 -0.2484916 -1.3249662 -0.4384067 0.8313842 0.8837183 -0.4231506
## 63 1.0060881 0.9606005 0.8961548 0.8313842 -0.3778658 0.9040036
## 64 -0.2484916 -1.3249662 -0.4384067 0.8313842 0.8837183 0.9040036
## 65 -0.2484916 -1.3249662 -0.4384067 0.8313842 0.8837183 0.9040036
## 66 -0.2484916 -0.1821828 0.8961548 0.8313842 0.8837183 -0.4231506
## 67 -0.2484916 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 68 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 69 1.0060881 0.9606005 -1.7729681 0.8313842 -0.3778658 0.9040036
## 70 -0.2484916 -1.3249662 -1.7729681 -0.4340315 0.8837183 0.9040036
## 71 -0.2484916 0.9606005 -0.4384067 0.8313842 0.8837183 -0.4231506
## 72 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 73 1.0060881 0.9606005 -0.4384067 0.8313842 0.8837183 0.9040036
## 74 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 75 -2.7576510 -0.1821828 0.8961548 -0.4340315 -0.3778658 -3.0774590
## 76 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 77 -1.5030713 -2.4677495 -1.7729681 -2.9648627 -2.9010340 -3.0774590
## 78 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 79 -2.7576510 -2.4677495 -3.1075295 -2.9648627 -2.9010340 -3.0774590
## 80 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 81 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 82 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 83 -1.5030713 -0.1821828 0.8961548 0.8313842 0.8837183 -0.4231506
## 84 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 85 1.0060881 0.9606005 0.8961548 0.8313842 -1.6394499 -1.7503048
## 86 1.0060881 0.9606005 0.8961548 -1.6994471 -0.3778658 -1.7503048
## 87 -0.2484916 -0.1821828 0.8961548 0.8313842 0.8837183 0.9040036
## 88 -0.2484916 -0.1821828 0.8961548 0.8313842 0.8837183 -0.4231506
## 89 -0.2484916 -0.1821828 -0.4384067 0.8313842 0.8837183 -0.4231506
## 90 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 91 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 92 -0.2484916 -2.4677495 -0.4384067 -0.4340315 -1.6394499 -0.4231506
## 93 -0.2484916 -1.3249662 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 94 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 95 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 96 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 -0.4231506
## 97 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 98 1.0060881 -1.3249662 -0.4384067 0.8313842 0.8837183 0.9040036
## 99 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 100 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 101 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 102 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 103 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 104 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 0.9040036
## 105 -0.2484916 -0.1821828 0.8961548 0.8313842 0.8837183 0.9040036
## 106 -1.5030713 -1.3249662 -1.7729681 0.8313842 -0.3778658 -0.4231506
## 107 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 108 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 109 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 110 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 111 -0.2484916 -0.1821828 -1.7729681 -0.4340315 -0.3778658 -0.4231506
## 112 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 113 -0.2484916 -0.1821828 -0.4384067 -0.4340315 0.8837183 0.9040036
## 114 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 115 -0.2484916 -0.1821828 -0.4384067 0.8313842 0.8837183 0.9040036
## 116 1.0060881 0.9606005 -0.4384067 0.8313842 0.8837183 0.9040036
## 117 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 118 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 119 -1.5030713 -1.3249662 -1.7729681 -0.4340315 -0.3778658 -0.4231506
## 120 -0.2484916 -0.1821828 -0.4384067 -2.9648627 -0.3778658 -0.4231506
## 121 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 122 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 123 1.0060881 0.9606005 0.8961548 0.8313842 0.8837183 0.9040036
## 124 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 125 1.0060881 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 126 1.0060881 0.9606005 -0.4384067 0.8313842 -1.6394499 -0.4231506
## 127 -1.5030713 -1.3249662 0.8961548 -1.6994471 -0.3778658 0.9040036
## 128 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 129 -0.2484916 -1.3249662 -1.7729681 -1.6994471 -0.3778658 -1.7503048
## 130 1.0060881 -1.3249662 0.8961548 -1.6994471 0.8837183 -0.4231506
## 131 1.0060881 -1.3249662 0.8961548 0.8313842 -0.3778658 -1.7503048
## 132 -0.2484916 0.9606005 0.8961548 -0.4340315 0.8837183 -0.4231506
## 133 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 134 -0.2484916 -1.3249662 -1.7729681 0.8313842 -1.6394499 0.9040036
## 135 -0.2484916 0.9606005 0.8961548 -1.6994471 -1.6394499 -0.4231506
## 136 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 137 -1.5030713 0.9606005 0.8961548 -0.4340315 0.8837183 -0.4231506
## 138 -0.2484916 0.9606005 -0.4384067 0.8313842 -1.6394499 -0.4231506
## 139 -1.5030713 -1.3249662 0.8961548 -1.6994471 -1.6394499 -0.4231506
## 140 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 141 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 142 1.0060881 0.9606005 0.8961548 0.8313842 -0.3778658 -1.7503048
## 143 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 144 1.0060881 0.9606005 0.8961548 0.8313842 -1.6394499 -0.4231506
## 145 -0.2484916 -0.1821828 -1.7729681 0.8313842 0.8837183 0.9040036
## 146 1.0060881 -0.1821828 -0.4384067 -0.4340315 -0.3778658 0.9040036
## 147 1.0060881 0.9606005 0.8961548 0.8313842 -0.3778658 -1.7503048
## 148 1.0060881 0.9606005 0.8961548 -0.4340315 -0.3778658 -0.4231506
## 149 -0.2484916 0.9606005 -0.4384067 0.8313842 0.8837183 0.9040036
## 150 1.0060881 0.9606005 0.8961548 -0.4340315 0.8837183 0.9040036
## 151 1.0060881 0.9606005 0.8961548 0.8313842 -0.3778658 -0.4231506
## 152 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 153 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 154 1.0060881 -0.1821828 0.8961548 0.8313842 -0.3778658 0.9040036
## 155 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 156 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 157 -0.2484916 0.9606005 -0.4384067 -0.4340315 0.8837183 -0.4231506
## 158 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 159 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 160 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 161 1.0060881 -0.1821828 0.8961548 0.8313842 -0.3778658 0.9040036
## 162 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 163 1.0060881 -0.1821828 0.8961548 -0.4340315 0.8837183 -0.4231506
## 164 -0.2484916 -1.3249662 0.8961548 -0.4340315 -1.6394499 0.9040036
## 165 -1.5030713 -2.4677495 -1.7729681 -1.6994471 -0.3778658 -0.4231506
## 166 1.0060881 0.9606005 0.8961548 -0.4340315 -0.3778658 0.9040036
## 167 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -1.6394499 -0.4231506
## 168 -1.5030713 0.9606005 0.8961548 0.8313842 -0.3778658 -0.4231506
## 169 1.0060881 -0.1821828 -1.7729681 -0.4340315 -0.3778658 -0.4231506
## 170 1.0060881 -0.1821828 -0.4384067 -0.4340315 0.8837183 -0.4231506
## 171 1.0060881 0.9606005 0.8961548 -1.6994471 -0.3778658 0.9040036
## 172 -0.2484916 -0.1821828 -0.4384067 0.8313842 -0.3778658 0.9040036
## 173 -0.2484916 0.9606005 -0.4384067 -0.4340315 0.8837183 0.9040036
## 174 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 175 -0.2484916 -0.1821828 0.8961548 -0.4340315 0.8837183 0.9040036
## 176 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 -0.4231506
## 177 1.0060881 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 178 1.0060881 -0.1821828 0.8961548 -0.4340315 -0.3778658 -0.4231506
## 179 1.0060881 -1.3249662 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 180 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 0.9040036
## 181 -0.2484916 -1.3249662 0.8961548 0.8313842 -1.6394499 -0.4231506
## 182 -1.5030713 -1.3249662 0.8961548 -0.4340315 0.8837183 0.9040036
## 183 1.0060881 0.9606005 -0.4384067 -1.6994471 -0.3778658 0.9040036
## 184 -0.2484916 0.9606005 -0.4384067 -0.4340315 0.8837183 -0.4231506
## 185 -0.2484916 0.9606005 -0.4384067 -0.4340315 0.8837183 -0.4231506
## 186 1.0060881 -1.3249662 0.8961548 -0.4340315 -1.6394499 -0.4231506
## 187 -0.2484916 0.9606005 -0.4384067 0.8313842 -0.3778658 -0.4231506
## 188 -1.5030713 -1.3249662 0.8961548 -1.6994471 0.8837183 -0.4231506
## 189 -0.2484916 -0.1821828 0.8961548 -0.4340315 -0.3778658 -0.4231506
## 190 1.0060881 -1.3249662 -0.4384067 -0.4340315 -0.3778658 -0.4231506
## 191 -0.2484916 -0.1821828 -0.4384067 -0.4340315 -1.6394499 0.9040036
## 192 -0.2484916 -0.1821828 -0.4384067 -1.6994471 0.8837183 0.9040036
## 193 -1.5030713 0.9606005 0.8961548 -0.4340315 0.8837183 0.9040036
## 194 -0.2484916 -0.1821828 -0.4384067 0.8313842 -1.6394499 -0.4231506
## 195 1.0060881 0.9606005 0.8961548 0.8313842 -1.6394499 -0.4231506
## 196 -0.2484916 -0.1821828 0.8961548 -1.6994471 0.8837183 0.9040036
## 197 -1.5030713 0.9606005 -0.4384067 -1.6994471 -0.3778658 -0.4231506
## 198 -0.2484916 0.9606005 -0.4384067 -1.6994471 -1.6394499 0.9040036
## 199 -1.5030713 -0.1821828 0.8961548 0.8313842 -0.3778658 -1.7503048
## 200 -1.5030713 0.9606005 0.8961548 -0.4340315 -0.3778658 0.9040036
## 201 -1.5030713 -2.4677495 -3.1075295 -2.9648627 -4.1626182 -3.0774590
## 202 -0.2484916 -0.1821828 -0.4384067 0.8313842 -0.3778658 -0.4231506
## 203 -0.2484916 0.9606005 0.8961548 -1.6994471 -1.6394499 -0.4231506
## 204 -0.2484916 -0.1821828 0.8961548 -0.4340315 -0.3778658 0.9040036
## 205 -0.2484916 -1.3249662 0.8961548 0.8313842 -1.6394499 -0.4231506
## 206 -1.5030713 -0.1821828 0.8961548 -0.4340315 0.8837183 0.9040036
## 207 -0.2484916 0.9606005 0.8961548 0.8313842 0.8837183 -0.4231506
## EE1 EE2 EE3 EE4 EE5 EE6
## 1 -0.04335519 -0.05489843 -0.0933019 -0.03137421 1.14195229 0.000000
## 2 -1.16517072 -0.05489843 -0.0933019 -1.11378461 -1.18695534 0.000000
## 3 -0.04335519 -1.19129587 -1.2293897 -2.19619501 -1.18695534 -1.179785
## 4 -1.16517072 -0.05489843 -1.2293897 -1.11378461 -0.02250152 0.000000
## 5 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 6 -3.40880177 -3.46409076 -3.5015654 -3.27860540 -3.51586296 -3.539354
## 7 1.07846034 -0.05489843 1.0427859 1.05103618 -0.02250152 -1.179785
## 8 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 9 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 10 1.07846034 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 11 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 12 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 13 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 14 1.07846034 -1.19129587 -0.0933019 -0.03137421 1.14195229 -1.179785
## 15 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 16 -0.04335519 1.08149902 -1.2293897 -0.03137421 -0.02250152 -1.179785
## 17 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 18 -0.04335519 -1.19129587 -0.0933019 -0.03137421 -0.02250152 0.000000
## 19 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 20 1.07846034 -0.05489843 1.0427859 1.05103618 -0.02250152 1.179785
## 21 -0.04335519 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 22 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 23 -1.16517072 -2.32769332 -2.3654776 -2.19619501 -1.18695534 -1.179785
## 24 1.07846034 -1.19129587 -0.0933019 -0.03137421 -1.18695534 0.000000
## 25 -0.04335519 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 26 1.07846034 -0.05489843 -0.0933019 1.05103618 -0.02250152 0.000000
## 27 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 28 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 29 -0.04335519 -1.19129587 -0.0933019 -1.11378461 -1.18695534 0.000000
## 30 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 31 -1.16517072 -0.05489843 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 32 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 33 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 34 -1.16517072 -1.19129587 -0.0933019 -0.03137421 -0.02250152 0.000000
## 35 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 36 -0.04335519 -0.05489843 -1.2293897 -2.19619501 -1.18695534 -1.179785
## 37 1.07846034 1.08149902 1.0427859 -0.03137421 1.14195229 0.000000
## 38 -1.16517072 -1.19129587 -0.0933019 -0.03137421 -2.35140915 0.000000
## 39 -0.04335519 -0.05489843 1.0427859 1.05103618 -0.02250152 1.179785
## 40 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 41 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 42 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 43 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 44 -0.04335519 -0.05489843 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 45 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 46 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -1.18695534 0.000000
## 47 -1.16517072 1.08149902 -1.2293897 -1.11378461 -2.35140915 -1.179785
## 48 -1.16517072 1.08149902 1.0427859 1.05103618 1.14195229 -1.179785
## 49 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 50 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 51 -1.16517072 -1.19129587 -0.0933019 -1.11378461 -1.18695534 0.000000
## 52 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 53 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 54 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 55 -1.16517072 -0.05489843 -0.0933019 -1.11378461 -0.02250152 -1.179785
## 56 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 0.000000
## 57 -0.04335519 -0.05489843 -0.0933019 -1.11378461 -1.18695534 -1.179785
## 58 -1.16517072 -1.19129587 -1.2293897 -2.19619501 -2.35140915 -2.359569
## 59 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 60 -0.04335519 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 61 1.07846034 -0.05489843 -1.2293897 -0.03137421 -0.02250152 0.000000
## 62 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 0.000000
## 63 -0.04335519 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 64 -0.04335519 1.08149902 1.0427859 1.05103618 1.14195229 0.000000
## 65 -0.04335519 1.08149902 1.0427859 1.05103618 1.14195229 0.000000
## 66 -0.04335519 -0.05489843 -0.0933019 -1.11378461 -0.02250152 0.000000
## 67 -0.04335519 -0.05489843 -0.0933019 1.05103618 1.14195229 1.179785
## 68 -0.04335519 -1.19129587 -0.0933019 -0.03137421 -0.02250152 0.000000
## 69 -1.16517072 -0.05489843 -0.0933019 -0.03137421 -2.35140915 0.000000
## 70 -2.28698624 -0.05489843 -1.2293897 -1.11378461 1.14195229 -1.179785
## 71 -0.04335519 1.08149902 -0.0933019 -0.03137421 -0.02250152 -1.179785
## 72 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -1.18695534 0.000000
## 73 -1.16517072 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 74 -2.28698624 -0.05489843 -0.0933019 -1.11378461 -0.02250152 0.000000
## 75 -2.28698624 -1.19129587 -1.2293897 -0.03137421 -0.02250152 -1.179785
## 76 -3.40880177 -3.46409076 -3.5015654 -3.27860540 -1.18695534 -2.359569
## 77 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -2.359569
## 78 -0.04335519 -0.05489843 1.0427859 1.05103618 1.14195229 0.000000
## 79 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 80 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -1.18695534 0.000000
## 81 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 82 -1.16517072 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 83 -0.04335519 -0.05489843 -1.2293897 -1.11378461 -1.18695534 0.000000
## 84 1.07846034 -0.05489843 -0.0933019 -0.03137421 -1.18695534 -1.179785
## 85 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 86 -1.16517072 -2.32769332 -2.3654776 -2.19619501 -2.35140915 -2.359569
## 87 -0.04335519 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 88 -1.16517072 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 89 1.07846034 1.08149902 1.0427859 1.05103618 -0.02250152 0.000000
## 90 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 91 1.07846034 -0.05489843 1.0427859 1.05103618 -0.02250152 0.000000
## 92 -0.04335519 -1.19129587 -0.0933019 -1.11378461 -1.18695534 0.000000
## 93 -1.16517072 -1.19129587 -1.2293897 -2.19619501 -0.02250152 -1.179785
## 94 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 95 1.07846034 -1.19129587 -3.5015654 -1.11378461 1.14195229 -3.539354
## 96 -1.16517072 -1.19129587 -1.2293897 1.05103618 -1.18695534 -1.179785
## 97 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 98 -1.16517072 -0.05489843 -0.0933019 -0.03137421 -1.18695534 1.179785
## 99 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 100 1.07846034 -1.19129587 -0.0933019 -1.11378461 1.14195229 1.179785
## 101 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 102 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 103 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 104 -0.04335519 -0.05489843 1.0427859 -0.03137421 1.14195229 1.179785
## 105 -0.04335519 -0.05489843 -0.0933019 1.05103618 -0.02250152 1.179785
## 106 -2.28698624 -1.19129587 -1.2293897 -1.11378461 -2.35140915 -1.179785
## 107 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 108 -0.04335519 -2.32769332 -1.2293897 -1.11378461 -1.18695534 -2.359569
## 109 -0.04335519 1.08149902 1.0427859 1.05103618 -0.02250152 1.179785
## 110 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 111 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 112 1.07846034 1.08149902 1.0427859 -0.03137421 1.14195229 1.179785
## 113 1.07846034 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 114 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 115 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 116 1.07846034 -2.32769332 -0.0933019 -0.03137421 -1.18695534 1.179785
## 117 -3.40880177 1.08149902 1.0427859 -3.27860540 1.14195229 1.179785
## 118 -0.04335519 -0.05489843 -1.2293897 -1.11378461 -2.35140915 -1.179785
## 119 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 120 -0.04335519 -1.19129587 -0.0933019 -0.03137421 -1.18695534 0.000000
## 121 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 122 -1.16517072 1.08149902 1.0427859 1.05103618 -1.18695534 1.179785
## 123 -1.16517072 -3.46409076 -2.3654776 -2.19619501 -1.18695534 -1.179785
## 124 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 125 -0.04335519 -0.05489843 1.0427859 1.05103618 1.14195229 0.000000
## 126 1.07846034 1.08149902 1.0427859 -1.11378461 1.14195229 -1.179785
## 127 -1.16517072 -0.05489843 1.0427859 -0.03137421 -1.18695534 1.179785
## 128 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 129 -1.16517072 1.08149902 1.0427859 -1.11378461 -0.02250152 -1.179785
## 130 -0.04335519 -1.19129587 -0.0933019 -0.03137421 -0.02250152 -1.179785
## 131 -1.16517072 -1.19129587 -0.0933019 -1.11378461 1.14195229 0.000000
## 132 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 133 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 134 -0.04335519 1.08149902 -0.0933019 -0.03137421 1.14195229 -1.179785
## 135 -1.16517072 -0.05489843 1.0427859 -0.03137421 -1.18695534 0.000000
## 136 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 137 -0.04335519 -0.05489843 1.0427859 -1.11378461 -1.18695534 0.000000
## 138 -0.04335519 1.08149902 -1.2293897 1.05103618 1.14195229 -1.179785
## 139 -1.16517072 1.08149902 -1.2293897 -1.11378461 -0.02250152 0.000000
## 140 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 141 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 142 1.07846034 1.08149902 1.0427859 -0.03137421 -0.02250152 -1.179785
## 143 1.07846034 -0.05489843 -0.0933019 1.05103618 -0.02250152 1.179785
## 144 1.07846034 1.08149902 -0.0933019 1.05103618 -0.02250152 -1.179785
## 145 1.07846034 -0.05489843 1.0427859 -0.03137421 -0.02250152 -1.179785
## 146 1.07846034 1.08149902 1.0427859 -0.03137421 -0.02250152 1.179785
## 147 -0.04335519 1.08149902 1.0427859 -1.11378461 1.14195229 0.000000
## 148 -0.04335519 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 149 1.07846034 -0.05489843 -0.0933019 -0.03137421 1.14195229 0.000000
## 150 1.07846034 -1.19129587 1.0427859 -0.03137421 1.14195229 1.179785
## 151 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 152 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 153 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 154 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 155 -0.04335519 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 156 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 157 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 158 -0.04335519 1.08149902 -0.0933019 1.05103618 1.14195229 0.000000
## 159 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 160 1.07846034 -0.05489843 -0.0933019 1.05103618 -0.02250152 1.179785
## 161 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 162 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 0.000000
## 163 -0.04335519 1.08149902 -0.0933019 1.05103618 -0.02250152 1.179785
## 164 -1.16517072 -0.05489843 1.0427859 -0.03137421 -0.02250152 -1.179785
## 165 1.07846034 -0.05489843 -1.2293897 1.05103618 -0.02250152 1.179785
## 166 1.07846034 -0.05489843 1.0427859 -0.03137421 -1.18695534 0.000000
## 167 -1.16517072 1.08149902 -0.0933019 1.05103618 -0.02250152 0.000000
## 168 -0.04335519 -0.05489843 -0.0933019 1.05103618 1.14195229 0.000000
## 169 -0.04335519 -1.19129587 1.0427859 -0.03137421 -0.02250152 -1.179785
## 170 -1.16517072 -1.19129587 -0.0933019 -1.11378461 -0.02250152 0.000000
## 171 1.07846034 1.08149902 -2.3654776 -1.11378461 -1.18695534 0.000000
## 172 -0.04335519 -1.19129587 1.0427859 -0.03137421 1.14195229 0.000000
## 173 -0.04335519 -0.05489843 1.0427859 1.05103618 -0.02250152 0.000000
## 174 -1.16517072 -1.19129587 -1.2293897 -1.11378461 -1.18695534 -1.179785
## 175 -0.04335519 1.08149902 1.0427859 1.05103618 1.14195229 1.179785
## 176 1.07846034 1.08149902 -0.0933019 1.05103618 1.14195229 1.179785
## 177 1.07846034 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
## 178 -1.16517072 1.08149902 -0.0933019 1.05103618 -0.02250152 0.000000
## 179 -0.04335519 -0.05489843 1.0427859 1.05103618 -0.02250152 0.000000
## 180 1.07846034 1.08149902 -1.2293897 -1.11378461 -0.02250152 1.179785
## 181 -0.04335519 1.08149902 1.0427859 -1.11378461 -0.02250152 1.179785
## 182 -0.04335519 -0.05489843 -0.0933019 1.05103618 -1.18695534 0.000000
## 183 -1.16517072 -0.05489843 -0.0933019 -0.03137421 -0.02250152 1.179785
## 184 -0.04335519 -0.05489843 -0.0933019 -0.03137421 1.14195229 1.179785
## 185 1.07846034 -0.05489843 1.0427859 1.05103618 1.14195229 0.000000
## 186 1.07846034 -0.05489843 1.0427859 1.05103618 1.14195229 0.000000
## 187 1.07846034 1.08149902 -0.0933019 -1.11378461 1.14195229 1.179785
## 188 1.07846034 -0.05489843 -0.0933019 1.05103618 -0.02250152 1.179785
## 189 1.07846034 1.08149902 1.0427859 1.05103618 1.14195229 0.000000
## 190 1.07846034 -1.19129587 -0.0933019 -0.03137421 -1.18695534 1.179785
## 191 1.07846034 -0.05489843 1.0427859 -0.03137421 1.14195229 1.179785
## 192 1.07846034 -2.32769332 -1.2293897 -0.03137421 -0.02250152 0.000000
## 193 1.07846034 -0.05489843 1.0427859 1.05103618 -1.18695534 -1.179785
## 194 1.07846034 -0.05489843 -0.0933019 1.05103618 -0.02250152 0.000000
## 195 1.07846034 -0.05489843 -0.0933019 -0.03137421 1.14195229 0.000000
## 196 -0.04335519 1.08149902 1.0427859 -1.11378461 1.14195229 1.179785
## 197 1.07846034 -1.19129587 1.0427859 -0.03137421 1.14195229 0.000000
## 198 -0.04335519 1.08149902 -0.0933019 1.05103618 -1.18695534 0.000000
## 199 -0.04335519 1.08149902 1.0427859 1.05103618 -0.02250152 0.000000
## 200 -0.04335519 1.08149902 -0.0933019 -1.11378461 -0.02250152 1.179785
## 201 -3.40880177 -2.32769332 -3.5015654 -1.11378461 -1.18695534 -2.359569
## 202 1.07846034 -0.05489843 -0.0933019 1.05103618 -0.02250152 0.000000
## 203 1.07846034 -0.05489843 -0.0933019 1.05103618 1.14195229 0.000000
## 204 -0.04335519 1.08149902 1.0427859 -0.03137421 -0.02250152 0.000000
## 205 1.07846034 -0.05489843 -0.0933019 1.05103618 -0.02250152 -1.179785
## 206 1.07846034 1.08149902 -1.2293897 1.05103618 1.14195229 0.000000
## 207 -0.04335519 -0.05489843 -0.0933019 -0.03137421 -0.02250152 0.000000
Statistika
Deskriptif
# Sebelum Pre-Processing
summary(data)
## Nama Jenis Kelamin Generasi Usia
## Length:207 Length:207 Length:207
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
## Berapa Usia Anda saat ini? Dimana tempat Anda tinggal? Level Pendidikan
## Length:207 Length:207 Length:207
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
##
##
## Level Jabatan Lama Berkerja Range Gaji Status Pernikahan
## Length:207 Length:207 Length:207 Length:207
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Memiliki Tanggungan C1 C2 C3
## Length:207 Min. :1.000 Min. :1.000 Min. :1.000
## Class :character 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:3.000
## Mode :character Median :4.000 Median :4.000 Median :4.000
## Mean :4.319 Mean :3.894 Mean :3.802
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000
## C4 C5 C6 C7
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :4.014 Mean :4.159 Mean :3.729 Mean :4.082
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:4.500 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## CD1 CD2 CD3 CD4
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :4.043 Mean :4.242 Mean :3.831 Mean :4.005
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## CD5 CD6 PSS1 PSS2
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.966 Mean :3.971 Mean :3.942 Mean :4.005
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## PSS3 PSS4 DL1 DL2 DL3
## Min. :1.000 Min. :1.000 Min. :2.000 Min. :1.00 Min. :2.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.00 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.00 Median :4.000
## Mean :4.005 Mean :4.116 Mean :4.227 Mean :4.29 Mean :4.329
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.00 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.00 Max. :5.000
## DL4 DL5 DL6 DL7 DL8
## Min. :2.000 Min. :1.000 Min. :2.000 Min. :2.000 Min. :1.0
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.0
## Median :4.000 Median :4.000 Median :4.000 Median :5.000 Median :4.0
## Mean :4.198 Mean :4.159 Mean :4.329 Mean :4.343 Mean :4.3
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.0
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.0
## DL9 EE1 EE2 EE3
## Min. :2.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :4.319 Mean :4.039 Mean :4.048 Mean :4.082
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## EE4 EE5 EE6
## Min. :1.000 Min. :1.000 Min. :1.0
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.5
## Median :4.000 Median :4.000 Median :4.0
## Mean :4.029 Mean :4.019 Mean :4.0
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.0
## Max. :5.000 Max. :5.000 Max. :5.0
# Sesusah Pre-Processing
summary(data_numeric)
## Nama Jenis Kelamin Generasi Usia Berapa Usia Anda saat ini?
## Min. : 1.0 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.: 52.5 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:2.000
## Median :104.0 Median :1.000 Median :3.000 Median :2.000
## Mean :104.0 Mean :1.454 Mean :2.386 Mean :3.676
## 3rd Qu.:155.5 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:6.000
## Max. :207.0 Max. :2.000 Max. :3.000 Max. :7.000
## Dimana tempat Anda tinggal? Level Pendidikan Level Jabatan Lama Berkerja
## Min. : 1.000 Min. :1.000 Min. : 1.000 Min. :1.000
## 1st Qu.: 2.000 1st Qu.:5.000 1st Qu.: 5.000 1st Qu.:2.000
## Median : 4.000 Median :5.000 Median : 7.000 Median :3.000
## Mean : 5.145 Mean :5.353 Mean : 6.841 Mean :2.821
## 3rd Qu.: 7.000 3rd Qu.:6.000 3rd Qu.:10.000 3rd Qu.:4.000
## Max. :17.000 Max. :9.000 Max. :10.000 Max. :5.000
## Range Gaji Status Pernikahan Memiliki Tanggungan C1
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:4.000
## Median :5.000 Median :1.000 Median :1.000 Median :4.000
## Mean :4.536 Mean :1.444 Mean :1.444 Mean :4.319
## 3rd Qu.:6.000 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:5.000
## Max. :6.000 Max. :2.000 Max. :2.000 Max. :5.000
## C2 C3 C4 C5
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.894 Mean :3.802 Mean :4.014 Mean :4.159
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## C6 C7 CD1 CD2
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.729 Mean :4.082 Mean :4.043 Mean :4.242
## 3rd Qu.:4.500 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## CD3 CD4 CD5 CD6
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.831 Mean :4.005 Mean :3.966 Mean :3.971
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## PSS1 PSS2 PSS3 PSS4
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :3.942 Mean :4.005 Mean :4.005 Mean :4.116
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## DL1 DL2 DL3 DL4 DL5
## Min. :2.000 Min. :1.00 Min. :2.000 Min. :2.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.00 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.00 Median :4.000 Median :4.000 Median :4.000
## Mean :4.227 Mean :4.29 Mean :4.329 Mean :4.198 Mean :4.159
## 3rd Qu.:5.000 3rd Qu.:5.00 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.00 Max. :5.000 Max. :5.000 Max. :5.000
## DL6 DL7 DL8 DL9 EE1
## Min. :2.000 Min. :2.000 Min. :1.0 Min. :2.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.0 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :5.000 Median :4.0 Median :4.000 Median :4.000
## Mean :4.329 Mean :4.343 Mean :4.3 Mean :4.319 Mean :4.039
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.0 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :5.000 Max. :5.000 Max. :5.0 Max. :5.000 Max. :5.000
## EE2 EE3 EE4 EE5 EE6
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.0
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.5
## Median :4.000 Median :4.000 Median :4.000 Median :4.000 Median :4.0
## Mean :4.048 Mean :4.082 Mean :4.029 Mean :4.019 Mean :4.0
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.0
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.0
library(psych)
# Ada skew dan kurtosis
describe(data_numeric)
## vars n mean sd median trimmed mad min max
## Nama 1 207 104.00 59.90 104 104.00 77.10 1 207
## Jenis Kelamin 2 207 1.45 0.50 1 1.44 0.00 1 2
## Generasi Usia 3 207 2.39 0.74 3 2.48 0.00 1 3
## Berapa Usia Anda saat ini? 4 207 3.68 2.01 2 3.49 0.00 1 7
## Dimana tempat Anda tinggal? 5 207 5.14 3.88 4 4.40 2.97 1 17
## Level Pendidikan 6 207 5.35 1.54 5 5.34 0.00 1 9
## Level Jabatan 7 207 6.84 2.86 7 7.10 4.45 1 10
## Lama Berkerja 8 207 2.82 1.16 3 2.83 1.48 1 5
## Range Gaji 9 207 4.54 1.52 5 4.68 1.48 1 6
## Status Pernikahan 10 207 1.44 0.50 1 1.43 0.00 1 2
## Memiliki Tanggungan 11 207 1.44 0.50 1 1.43 0.00 1 2
## C1 12 207 4.32 0.77 4 4.42 1.48 1 5
## C2 13 207 3.89 1.10 4 4.03 1.48 1 5
## C3 14 207 3.80 1.08 4 3.93 1.48 1 5
## C4 15 207 4.01 0.97 4 4.14 1.48 1 5
## C5 16 207 4.16 0.86 4 4.26 1.48 1 5
## C6 17 207 3.73 1.08 4 3.85 1.48 1 5
## C7 18 207 4.08 0.99 4 4.22 1.48 1 5
## CD1 19 207 4.04 0.93 4 4.13 1.48 1 5
## CD2 20 207 4.24 0.79 4 4.34 1.48 1 5
## CD3 21 207 3.83 0.97 4 3.92 1.48 1 5
## CD4 22 207 4.00 0.97 4 4.12 1.48 1 5
## CD5 23 207 3.97 0.99 4 4.07 1.48 1 5
## CD6 24 207 3.97 0.94 4 4.06 1.48 1 5
## PSS1 25 207 3.94 1.02 4 4.07 1.48 1 5
## PSS2 26 207 4.00 0.80 4 4.04 1.48 1 5
## PSS3 27 207 4.00 0.89 4 4.07 1.48 1 5
## PSS4 28 207 4.12 0.85 4 4.19 1.48 1 5
## DL1 29 207 4.23 0.81 4 4.32 1.48 2 5
## DL2 30 207 4.29 0.77 4 4.39 1.48 1 5
## DL3 31 207 4.33 0.72 4 4.42 1.48 2 5
## DL4 32 207 4.20 0.80 4 4.28 1.48 2 5
## DL5 33 207 4.16 0.88 4 4.25 1.48 1 5
## DL6 34 207 4.33 0.75 4 4.43 1.48 2 5
## DL7 35 207 4.34 0.79 5 4.46 0.00 2 5
## DL8 36 207 4.30 0.79 4 4.40 1.48 1 5
## DL9 37 207 4.32 0.75 4 4.43 1.48 2 5
## EE1 38 207 4.04 0.89 4 4.12 1.48 1 5
## EE2 39 207 4.05 0.88 4 4.13 1.48 1 5
## EE3 40 207 4.08 0.88 4 4.17 1.48 1 5
## EE4 41 207 4.03 0.92 4 4.11 1.48 1 5
## EE5 42 207 4.02 0.86 4 4.08 1.48 1 5
## EE6 43 207 4.00 0.85 4 4.06 1.48 1 5
## range skew kurtosis se
## Nama 206 0.00 -1.22 4.16
## Jenis Kelamin 1 0.18 -1.98 0.03
## Generasi Usia 2 -0.75 -0.83 0.05
## Berapa Usia Anda saat ini? 6 0.49 -1.51 0.14
## Dimana tempat Anda tinggal? 16 1.49 1.24 0.27
## Level Pendidikan 8 0.31 0.20 0.11
## Level Jabatan 9 -0.40 -1.00 0.20
## Lama Berkerja 4 -0.13 -0.88 0.08
## Range Gaji 5 -0.51 -0.92 0.11
## Status Pernikahan 1 0.22 -1.96 0.03
## Memiliki Tanggungan 1 0.22 -1.96 0.03
## C1 4 -0.99 0.84 0.05
## C2 4 -0.78 -0.16 0.08
## C3 4 -0.84 0.11 0.08
## C4 4 -0.96 0.56 0.07
## C5 4 -0.94 0.74 0.06
## C6 4 -0.80 0.18 0.07
## C7 4 -1.09 0.95 0.07
## CD1 4 -0.85 0.60 0.06
## CD2 4 -1.10 1.79 0.05
## CD3 4 -0.55 -0.23 0.07
## CD4 4 -0.73 -0.19 0.07
## CD5 4 -0.79 0.23 0.07
## CD6 4 -0.91 0.91 0.07
## PSS1 4 -0.88 0.34 0.07
## PSS2 4 -0.46 -0.06 0.06
## PSS3 4 -0.58 -0.12 0.06
## PSS4 4 -0.75 0.42 0.06
## DL1 3 -0.76 -0.16 0.06
## DL2 4 -0.99 1.00 0.05
## DL3 3 -0.73 -0.22 0.05
## DL4 3 -0.71 -0.14 0.06
## DL5 4 -0.79 0.00 0.06
## DL6 3 -0.82 -0.08 0.05
## DL7 3 -0.98 0.17 0.05
## DL8 4 -0.93 0.52 0.06
## DL9 3 -1.00 0.74 0.05
## EE1 4 -0.89 0.97 0.06
## EE2 4 -0.86 0.78 0.06
## EE3 4 -1.01 1.32 0.06
## EE4 4 -0.76 0.25 0.06
## EE5 4 -0.54 -0.22 0.06
## EE6 4 -0.67 0.41 0.06
Uji Asumsi
Uji Normalitas
Multivariat
library(psych)
mardia(data_z)
## Call: mardia(x = data_z)
##
## Mardia tests of multivariate skew and kurtosis
## Use describe(x) the to get univariate tests
## n.obs = 207 num.vars = 43
## b1p = 561.88 skew = 19384.81 with probability <= 2e-169
## small sample skew = 19678.66 with probability <= 6.7e-187
## b2p = 2093.89 kurtosis = 18.37 with probability <= 0
Uji
Multikolinearitas
# Determinan Matriks Kovarians
data_manifest <- data_z[, c(
"C1","C2","C3","C4","C5","C6","C7",
"CD1","CD2","CD3","CD4","CD5","CD6",
"PSS1","PSS2","PSS3","PSS4",
"DL1","DL2","DL3","DL4","DL5","DL6","DL7","DL8","DL9",
"EE1","EE2","EE3","EE4","EE5","EE6"
)]
# Pastikan semua numerik
data_manifest[] <- lapply(data_manifest, function(x)
as.numeric(as.character(x)))
# Matriks kovarians
cov_matrix <- cov(data_manifest, use = "complete.obs")
# Determinan kovarians
det(cov_matrix)
## [1] 2.265311e-08
library(car)
## Loading required package: carData
##
## Attaching package: 'car'
## The following object is masked from 'package:psych':
##
## logit
# Hapus missing value
data_manifest_clean <- na.omit(data_manifest)
# Model VIF
model_vif <- lm(
EE1 ~
C1 + C2 + C3 + C4 + C5 + C6 + C7 +
CD1 + CD2 + CD3 + CD4 + CD5 + CD6 +
PSS1 + PSS2 + PSS3 + PSS4 +
DL1 + DL2 + DL3 + DL4 + DL5 + DL6 + DL7 + DL8 + DL9,
data = data_manifest_clean
)
# Nilai VIF
vif(model_vif)
## C1 C2 C3 C4 C5 C6 C7 CD1
## 2.233564 2.024427 2.033728 2.553704 1.800160 2.312416 1.766970 2.012265
## CD2 CD3 CD4 CD5 CD6 PSS1 PSS2 PSS3
## 1.689571 1.940676 2.311910 2.558617 2.308324 1.546589 1.777367 1.944467
## PSS4 DL1 DL2 DL3 DL4 DL5 DL6 DL7
## 1.874843 2.166302 2.142750 2.092176 1.969007 2.073367 2.063139 1.950530
## DL8 DL9
## 2.478947 2.088691
Uji Kecukupan
Sampel
# KMO
r <- cor(data_z)
KMO(r)
## Kaiser-Meyer-Olkin factor adequacy
## Call: KMO(r = r)
## Overall MSA = 0.88
## MSA for each item =
## Nama Jenis.Kelamin
## 0.86 0.77
## Generasi.Usia Berapa.Usia.Anda.saat.ini.
## 0.70 0.72
## Dimana.tempat.Anda.tinggal. Level.Pendidikan
## 0.37 0.34
## Level.Jabatan Lama.Berkerja
## 0.69 0.65
## Range.Gaji Status.Pernikahan
## 0.46 0.72
## Memiliki.Tanggungan C1
## 0.78 0.91
## C2 C3
## 0.88 0.86
## C4 C5
## 0.87 0.89
## C6 C7
## 0.87 0.86
## CD1 CD2
## 0.92 0.90
## CD3 CD4
## 0.89 0.91
## CD5 CD6
## 0.92 0.86
## PSS1 PSS2
## 0.90 0.93
## PSS3 PSS4
## 0.89 0.86
## DL1 DL2
## 0.85 0.92
## DL3 DL4
## 0.90 0.92
## DL5 DL6
## 0.88 0.89
## DL7 DL8
## 0.88 0.78
## DL9 EE1
## 0.88 0.91
## EE2 EE3
## 0.92 0.93
## EE4 EE5
## 0.92 0.92
## EE6
## 0.93
Confirmatory Factor
Analysis (CFA)
library(lavaan)
## Warning: package 'lavaan' was built under R version 4.5.3
## This is lavaan 0.6-21
## lavaan is FREE software! Please report any bugs.
##
## Attaching package: 'lavaan'
## The following object is masked from 'package:psych':
##
## cor2cov
model_cfa_x1 <- '
Compensation =~ C1 + C2 + C3 + C4 + C5 + C6 + C7
'
model_cfa_x2 <- '
CareerDevelopment =~ CD1 + CD2 + CD3 + CD4 + CD5 + CD6
'
model_cfa_y <- '
EmployeeEngagement =~ EE1 + EE2 + EE3 + EE4 + EE5 + EE6
'
fit_x1 <- cfa(model_cfa_x1,
data = data_z,
std.lv = TRUE,
estimator = "MLR")
fit_x2 <- cfa(model_cfa_x2,
data = data_z,
std.lv = TRUE,
estimator = "MLR")
fit_y <- cfa(model_cfa_y,
data = data_z,
std.lv = TRUE,
estimator = "MLR")
summary(fit_x1, fit.measures = TRUE, standardized = TRUE)
## lavaan 0.6-21 ended normally after 13 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 14
##
## Number of observations 207
##
## Model Test User Model:
## Standard Scaled
## Test Statistic 84.877 69.487
## Degrees of freedom 14 14
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.221
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 495.400 346.713
## Degrees of freedom 21 21
## P-value 0.000 0.000
## Scaling correction factor 1.429
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.851 0.830
## Tucker-Lewis Index (TLI) 0.776 0.744
##
## Robust Comparative Fit Index (CFI) 0.854
## Robust Tucker-Lewis Index (TLI) 0.782
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -1847.272 -1847.272
## Scaling correction factor 1.546
## for the MLR correction
## Loglikelihood unrestricted model (H1) -1804.833 -1804.833
## Scaling correction factor 1.384
## for the MLR correction
##
## Akaike (AIC) 3722.544 3722.544
## Bayesian (BIC) 3769.202 3769.202
## Sample-size adjusted Bayesian (SABIC) 3724.844 3724.844
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.156 0.138
## 90 Percent confidence interval - lower 0.125 0.110
## 90 Percent confidence interval - upper 0.189 0.168
## P-value H_0: RMSEA <= 0.050 0.000 0.000
## P-value H_0: RMSEA >= 0.080 1.000 0.999
##
## Robust RMSEA 0.153
## 90 Percent confidence interval - lower 0.118
## 90 Percent confidence interval - upper 0.190
## P-value H_0: Robust RMSEA <= 0.050 0.000
## P-value H_0: Robust RMSEA >= 0.080 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.080 0.080
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Compensation =~
## C1 0.528 0.085 6.189 0.000 0.528 0.530
## C2 0.703 0.070 10.049 0.000 0.703 0.704
## C3 0.594 0.092 6.428 0.000 0.594 0.595
## C4 0.803 0.075 10.740 0.000 0.803 0.805
## C5 0.590 0.093 6.354 0.000 0.590 0.591
## C6 0.618 0.094 6.559 0.000 0.618 0.619
## C7 0.597 0.095 6.318 0.000 0.597 0.599
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .C1 0.716 0.101 7.120 0.000 0.716 0.719
## .C2 0.501 0.104 4.805 0.000 0.501 0.504
## .C3 0.643 0.095 6.756 0.000 0.643 0.646
## .C4 0.351 0.055 6.323 0.000 0.351 0.352
## .C5 0.648 0.073 8.847 0.000 0.648 0.651
## .C6 0.614 0.108 5.691 0.000 0.614 0.617
## .C7 0.638 0.112 5.725 0.000 0.638 0.642
## Compensation 1.000 1.000 1.000
## Visualisasi CFA Konstruk Compensation
library(semPlot)
## Warning: package 'semPlot' was built under R version 4.5.3
semPaths(
object = fit_x1,
what = "path",
whatLabels = "std",
style = "ram",
layout = "tree",
rotation = 2,
sizeMan = 6,
sizeLat = 7,
edge.label.cex = 1.2,
label.cex = 1.3,
color = list(lat = "lightblue", man = "lightgreen")
)
summary(fit_x2, fit.measures = TRUE, standardized = TRUE)
## lavaan 0.6-21 ended normally after 13 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 12
##
## Number of observations 207
##
## Model Test User Model:
## Standard Scaled
## Test Statistic 24.651 16.388
## Degrees of freedom 9 9
## P-value (Chi-square) 0.003 0.059
## Scaling correction factor 1.504
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 431.332 253.067
## Degrees of freedom 15 15
## P-value 0.000 0.000
## Scaling correction factor 1.704
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.962 0.969
## Tucker-Lewis Index (TLI) 0.937 0.948
##
## Robust Comparative Fit Index (CFI) 0.973
## Robust Tucker-Lewis Index (TLI) 0.954
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -1555.974 -1555.974
## Scaling correction factor 1.641
## for the MLR correction
## Loglikelihood unrestricted model (H1) -1543.648 -1543.648
## Scaling correction factor 1.582
## for the MLR correction
##
## Akaike (AIC) 3135.947 3135.947
## Bayesian (BIC) 3175.940 3175.940
## Sample-size adjusted Bayesian (SABIC) 3137.918 3137.918
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.092 0.063
## 90 Percent confidence interval - lower 0.049 0.018
## 90 Percent confidence interval - upper 0.136 0.102
## P-value H_0: RMSEA <= 0.050 0.052 0.264
## P-value H_0: RMSEA >= 0.080 0.708 0.262
##
## Robust RMSEA 0.077
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper 0.136
## P-value H_0: Robust RMSEA <= 0.050 0.199
## P-value H_0: Robust RMSEA >= 0.080 0.520
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.041 0.041
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## CareerDevelopment =~
## CD1 0.637 0.085 7.454 0.000 0.637 0.638
## CD2 0.476 0.091 5.259 0.000 0.476 0.478
## CD3 0.681 0.063 10.788 0.000 0.681 0.682
## CD4 0.721 0.078 9.202 0.000 0.721 0.723
## CD5 0.803 0.068 11.786 0.000 0.803 0.805
## CD6 0.703 0.080 8.820 0.000 0.703 0.704
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .CD1 0.590 0.089 6.634 0.000 0.590 0.593
## .CD2 0.768 0.105 7.285 0.000 0.768 0.772
## .CD3 0.532 0.070 7.627 0.000 0.532 0.534
## .CD4 0.475 0.096 4.946 0.000 0.475 0.477
## .CD5 0.350 0.062 5.630 0.000 0.350 0.352
## .CD6 0.502 0.115 4.373 0.000 0.502 0.504
## CareerDevlpmnt 1.000 1.000 1.000
## Visualisasi CFA Konstruk Career Development
semPaths(
object = fit_x2,
what = "path",
whatLabels = "std",
style = "ram",
layout = "tree",
rotation = 2,
sizeMan = 6,
sizeLat = 7,
edge.label.cex = 1.2,
label.cex = 1.3,
color = list(lat = "lightcoral", man = "lightyellow")
)
summary(fit_y, fit.measures = TRUE, standardized = TRUE)
## lavaan 0.6-21 ended normally after 14 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 12
##
## Number of observations 207
##
## Model Test User Model:
## Standard Scaled
## Test Statistic 17.706 10.081
## Degrees of freedom 9 9
## P-value (Chi-square) 0.039 0.344
## Scaling correction factor 1.756
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 527.792 325.616
## Degrees of freedom 15 15
## P-value 0.000 0.000
## Scaling correction factor 1.621
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.983 0.997
## Tucker-Lewis Index (TLI) 0.972 0.994
##
## Robust Comparative Fit Index (CFI) 0.996
## Robust Tucker-Lewis Index (TLI) 0.994
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -1504.271 -1504.271
## Scaling correction factor 1.364
## for the MLR correction
## Loglikelihood unrestricted model (H1) -1495.418 -1495.418
## Scaling correction factor 1.532
## for the MLR correction
##
## Akaike (AIC) 3032.542 3032.542
## Bayesian (BIC) 3072.535 3072.535
## Sample-size adjusted Bayesian (SABIC) 3034.513 3034.513
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.068 0.024
## 90 Percent confidence interval - lower 0.015 0.000
## 90 Percent confidence interval - upper 0.115 0.071
## P-value H_0: RMSEA <= 0.050 0.227 0.773
## P-value H_0: RMSEA >= 0.080 0.382 0.020
##
## Robust RMSEA 0.032
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper 0.111
## P-value H_0: Robust RMSEA <= 0.050 0.562
## P-value H_0: Robust RMSEA >= 0.080 0.204
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.031 0.031
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## EmployeeEngagement =~
## EE1 0.606 0.085 7.115 0.000 0.606 0.607
## EE2 0.734 0.079 9.254 0.000 0.734 0.736
## EE3 0.793 0.076 10.384 0.000 0.793 0.795
## EE4 0.762 0.070 10.948 0.000 0.762 0.764
## EE5 0.690 0.070 9.842 0.000 0.690 0.692
## EE6 0.731 0.072 10.211 0.000 0.731 0.733
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EE1 0.628 0.087 7.259 0.000 0.628 0.631
## .EE2 0.456 0.065 7.040 0.000 0.456 0.458
## .EE3 0.367 0.058 6.363 0.000 0.367 0.368
## .EE4 0.414 0.089 4.656 0.000 0.414 0.416
## .EE5 0.519 0.070 7.416 0.000 0.519 0.521
## .EE6 0.460 0.055 8.383 0.000 0.460 0.462
## EmployeEnggmnt 1.000 1.000 1.000
## Visualisasi CFA Konstruk Employee Engagement
semPaths(
object = fit_y,
what = "path",
whatLabels = "std",
style = "ram",
layout = "tree",
rotation = 2,
sizeMan = 6,
sizeLat = 7,
edge.label.cex = 1.2,
label.cex = 1.3,
color = list(lat = "lightpink", man = "lightcyan")
)
Ringkasan Fit Indeks
CFA
cfa_fits <- data.frame(
Konstruk = c("Compensation", "CareerDevelopment", "EmployeeEngagement"),
CFI = c(fitMeasures(fit_x1, "cfi"),
fitMeasures(fit_x2, "cfi"),
fitMeasures(fit_y, "cfi")),
RMSEA = c(fitMeasures(fit_x1, "rmsea"),
fitMeasures(fit_x2, "rmsea"),
fitMeasures(fit_y, "rmsea")),
SRMR = c(fitMeasures(fit_x1, "srmr"),
fitMeasures(fit_x2, "srmr"),
fitMeasures(fit_y, "srmr")),
TLI = c(fitMeasures(fit_x1, "tli"),
fitMeasures(fit_x2, "tli"),
fitMeasures(fit_y, "tli"))
)
print(cfa_fits)
## Konstruk CFI RMSEA SRMR TLI
## 1 Compensation 0.8505960 0.15638841 0.07996590 0.7758939
## 2 CareerDevelopment 0.9624080 0.09165607 0.04083955 0.9373467
## 3 EmployeeEngagement 0.9830229 0.06835904 0.03148130 0.9717049
Perhitungan Composite
Reliability (CR)
# Fungsi untuk menghitung CR dari fit CFA
hitung_CR <- function(fit) {
std <- standardizedSolution(fit)
lambda <- std$est[std$op == "=~"]
theta <- 1 - lambda^2
CR <- sum(lambda)^2 / (sum(lambda)^2 + sum(theta))
return(CR)
}
CR_x1 <- hitung_CR(fit_x1)
CR_x2 <- hitung_CR(fit_x2)
CR_y <- hitung_CR(fit_y)
cr_df <- data.frame(
Konstruk = c("Compensation", "CareerDevelopment", "EmployeeEngagement"),
CR = c(CR_x1, CR_x2, CR_y)
)
print(cr_df)
## Konstruk CR
## 1 Compensation 0.8269249
## 2 CareerDevelopment 0.8340486
## 3 EmployeeEngagement 0.8676299
Structural Equation
Modeling (SEM)
model_sem <- '
Compensation =~ C1 + C2 + C3 + C4 + C5 + C6 + C7
CareerDevelopment =~ CD1 + CD2 + CD3 + CD4 + CD5 + CD6
EmployeeEngagement =~ EE1 + EE2 + EE3 + EE4 + EE5 + EE6
EmployeeEngagement ~ Compensation + CareerDevelopment
'
fit_sem <- sem(model_sem, data = data_z, std.lv = TRUE, estimator = "MLR")
summary(fit_sem, fit.measures = TRUE, standardized = TRUE)
## lavaan 0.6-21 ended normally after 30 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 41
##
## Number of observations 207
##
## Model Test User Model:
## Standard Scaled
## Test Statistic 359.935 277.540
## Degrees of freedom 149 149
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.297
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 2009.069 1477.691
## Degrees of freedom 171 171
## P-value 0.000 0.000
## Scaling correction factor 1.360
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.885 0.902
## Tucker-Lewis Index (TLI) 0.868 0.887
##
## Robust Comparative Fit Index (CFI) 0.906
## Robust Tucker-Lewis Index (TLI) 0.892
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -4746.596 -4746.596
## Scaling correction factor 1.549
## for the MLR correction
## Loglikelihood unrestricted model (H1) -4566.628 -4566.628
## Scaling correction factor 1.351
## for the MLR correction
##
## Akaike (AIC) 9575.191 9575.191
## Bayesian (BIC) 9711.833 9711.833
## Sample-size adjusted Bayesian (SABIC) 9581.927 9581.927
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.083 0.065
## 90 Percent confidence interval - lower 0.072 0.054
## 90 Percent confidence interval - upper 0.094 0.075
## P-value H_0: RMSEA <= 0.050 0.000 0.012
## P-value H_0: RMSEA >= 0.080 0.668 0.006
##
## Robust RMSEA 0.074
## 90 Percent confidence interval - lower 0.060
## 90 Percent confidence interval - upper 0.087
## P-value H_0: Robust RMSEA <= 0.050 0.003
## P-value H_0: Robust RMSEA >= 0.080 0.219
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.063 0.063
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Compensation =~
## C1 0.586 0.087 6.770 0.000 0.586 0.587
## C2 0.681 0.066 10.327 0.000 0.681 0.682
## C3 0.605 0.089 6.821 0.000 0.605 0.607
## C4 0.753 0.075 10.004 0.000 0.753 0.755
## C5 0.608 0.089 6.868 0.000 0.608 0.609
## C6 0.629 0.090 6.988 0.000 0.629 0.630
## C7 0.603 0.089 6.768 0.000 0.603 0.605
## CareerDevelopment =~
## CD1 0.663 0.084 7.934 0.000 0.663 0.665
## CD2 0.476 0.092 5.163 0.000 0.476 0.477
## CD3 0.652 0.067 9.730 0.000 0.652 0.654
## CD4 0.726 0.077 9.468 0.000 0.726 0.728
## CD5 0.812 0.069 11.850 0.000 0.812 0.814
## CD6 0.686 0.078 8.775 0.000 0.686 0.687
## EmployeeEngagement =~
## EE1 0.312 0.054 5.795 0.000 0.624 0.625
## EE2 0.362 0.064 5.687 0.000 0.724 0.726
## EE3 0.397 0.065 6.129 0.000 0.793 0.795
## EE4 0.375 0.063 5.987 0.000 0.749 0.751
## EE5 0.351 0.059 5.920 0.000 0.702 0.703
## EE6 0.366 0.062 5.934 0.000 0.732 0.734
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## EmployeeEngagement ~
## Compensation 0.556 0.385 1.444 0.149 0.278 0.278
## CareerDevlpmnt 1.241 0.445 2.792 0.005 0.621 0.621
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Compensation ~~
## CareerDevlpmnt 0.832 0.043 19.488 0.000 0.832 0.832
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .C1 0.652 0.097 6.716 0.000 0.652 0.655
## .C2 0.532 0.096 5.561 0.000 0.532 0.535
## .C3 0.629 0.086 7.314 0.000 0.629 0.632
## .C4 0.427 0.055 7.793 0.000 0.427 0.430
## .C5 0.626 0.068 9.267 0.000 0.626 0.629
## .C6 0.600 0.102 5.882 0.000 0.600 0.603
## .C7 0.631 0.112 5.644 0.000 0.631 0.634
## .CD1 0.555 0.087 6.368 0.000 0.555 0.558
## .CD2 0.769 0.100 7.660 0.000 0.769 0.773
## .CD3 0.570 0.077 7.405 0.000 0.570 0.572
## .CD4 0.468 0.081 5.761 0.000 0.468 0.470
## .CD5 0.336 0.039 8.564 0.000 0.336 0.338
## .CD6 0.525 0.107 4.899 0.000 0.525 0.528
## .EE1 0.606 0.086 7.083 0.000 0.606 0.609
## .EE2 0.471 0.056 8.366 0.000 0.471 0.473
## .EE3 0.366 0.050 7.279 0.000 0.366 0.368
## .EE4 0.434 0.082 5.315 0.000 0.434 0.436
## .EE5 0.503 0.073 6.892 0.000 0.503 0.505
## .EE6 0.459 0.050 9.170 0.000 0.459 0.461
## Compensation 1.000 1.000 1.000
## CareerDevlpmnt 1.000 1.000 1.000
## .EmployeEnggmnt 1.000 0.250 0.250
Visualisasi SEM
library(semPlot)
semPaths(
object = fit_sem,
what = "path",
whatLabels = "std",
style = "ram",
layout = "tree",
rotation = 2,
sizeMan = 7,
sizeLat = 7,
color = "lightgray",
edge.label.cex = 1.2,
label.cex = 1.3
)
library(semPlot)
semPaths(
object = fit_sem,
what = "path",
whatLabels = "std",
style = "ram",
layout = "tree",
rotation = 2,
sizeMan = 7,
sizeLat = 7,
color = "lightgray",
edge.label.cex = 1.2,
label.cex = 1.3
)