Implementasi Principal Component Analysis (PCA) dan Factor Analysis (FA) pada Data Student Habits and Academic Performance
2026-03-02
Persiapan Data (Cleaning & Preprocessing)
data <- read.csv("C:/Users/ASUS/Downloads/StressLevelDataset.csv")
View(data)str(data)## 'data.frame': 1100 obs. of 21 variables:
## $ anxiety_level : int 14 15 12 16 16 20 4 17 13 6 ...
## $ self_esteem : int 20 8 18 12 28 13 26 3 22 8 ...
## $ mental_health_history : int 0 1 1 1 0 1 0 1 1 0 ...
## $ depression : int 11 15 14 15 7 21 6 22 12 27 ...
## $ headache : int 2 5 2 4 2 3 1 4 3 4 ...
## $ blood_pressure : int 1 3 1 3 3 3 2 3 1 3 ...
## $ sleep_quality : int 2 1 2 1 5 1 4 1 2 1 ...
## $ breathing_problem : int 4 4 2 3 1 4 1 5 4 2 ...
## $ noise_level : int 2 3 2 4 3 3 1 3 3 0 ...
## $ living_conditions : int 3 1 2 2 2 2 4 1 3 5 ...
## $ safety : int 3 2 3 2 4 2 4 1 3 2 ...
## $ basic_needs : int 2 2 2 2 3 1 4 1 3 2 ...
## $ academic_performance : int 3 1 2 2 4 2 5 1 3 2 ...
## $ study_load : int 2 4 3 4 3 5 1 3 3 2 ...
## $ teacher_student_relationship: int 3 1 3 1 1 2 4 2 2 1 ...
## $ future_career_concerns : int 3 5 2 4 2 5 1 4 3 5 ...
## $ social_support : int 2 1 2 1 1 1 3 1 3 1 ...
## $ peer_pressure : int 3 4 3 4 5 4 2 4 3 5 ...
## $ extracurricular_activities : int 3 5 2 4 0 4 2 4 2 3 ...
## $ bullying : int 2 5 2 5 5 5 1 5 2 4 ...
## $ stress_level : int 1 2 1 2 1 2 0 2 1 1 ...dim(data)## [1] 1100 21head(data)## anxiety_level self_esteem mental_health_history depression headache
## 1 14 20 0 11 2
## 2 15 8 1 15 5
## 3 12 18 1 14 2
## 4 16 12 1 15 4
## 5 16 28 0 7 2
## 6 20 13 1 21 3
## blood_pressure sleep_quality breathing_problem noise_level living_conditions
## 1 1 2 4 2 3
## 2 3 1 4 3 1
## 3 1 2 2 2 2
## 4 3 1 3 4 2
## 5 3 5 1 3 2
## 6 3 1 4 3 2
## safety basic_needs academic_performance study_load
## 1 3 2 3 2
## 2 2 2 1 4
## 3 3 2 2 3
## 4 2 2 2 4
## 5 4 3 4 3
## 6 2 1 2 5
## teacher_student_relationship future_career_concerns social_support
## 1 3 3 2
## 2 1 5 1
## 3 3 2 2
## 4 1 4 1
## 5 1 2 1
## 6 2 5 1
## peer_pressure extracurricular_activities bullying stress_level
## 1 3 3 2 1
## 2 4 5 5 2
## 3 3 2 2 1
## 4 4 4 5 2
## 5 5 0 5 1
## 6 4 4 5 2summary(data)## anxiety_level self_esteem mental_health_history depression
## Min. : 0.00 Min. : 0.00 Min. :0.0000 Min. : 0.00
## 1st Qu.: 6.00 1st Qu.:11.00 1st Qu.:0.0000 1st Qu.: 6.00
## Median :11.00 Median :19.00 Median :0.0000 Median :12.00
## Mean :11.06 Mean :17.78 Mean :0.4927 Mean :12.56
## 3rd Qu.:16.00 3rd Qu.:26.00 3rd Qu.:1.0000 3rd Qu.:19.00
## Max. :21.00 Max. :30.00 Max. :1.0000 Max. :27.00
## headache blood_pressure sleep_quality breathing_problem
## Min. :0.000 Min. :1.000 Min. :0.00 Min. :0.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:2.000
## Median :3.000 Median :2.000 Median :2.50 Median :3.000
## Mean :2.508 Mean :2.182 Mean :2.66 Mean :2.754
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:4.00 3rd Qu.:4.000
## Max. :5.000 Max. :3.000 Max. :5.00 Max. :5.000
## noise_level living_conditions safety basic_needs
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :3.000 Median :2.000 Median :2.000 Median :3.000
## Mean :2.649 Mean :2.518 Mean :2.737 Mean :2.773
## 3rd Qu.:3.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000
## academic_performance study_load teacher_student_relationship
## Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :2.000 Median :2.000 Median :2.000
## Mean :2.773 Mean :2.622 Mean :2.648
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :5.000 Max. :5.000 Max. :5.000
## future_career_concerns social_support peer_pressure
## Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000
## Median :2.000 Median :2.000 Median :2.000
## Mean :2.649 Mean :1.882 Mean :2.735
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.000
## Max. :5.000 Max. :3.000 Max. :5.000
## extracurricular_activities bullying stress_level
## Min. :0.000 Min. :0.000 Min. :0.0000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:0.0000
## Median :2.500 Median :3.000 Median :1.0000
## Mean :2.767 Mean :2.617 Mean :0.9964
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:2.0000
## Max. :5.000 Max. :5.000 Max. :2.0000set.seed(123)
data_250 <- data[sample(nrow(data), 250), ]
data_250## anxiety_level self_esteem mental_health_history depression headache
## 415 10 25 1 9 2
## 463 11 23 0 13 3
## 179 4 25 0 22 0
## 526 13 15 1 12 2
## 195 6 17 0 1 2
## 938 20 0 1 22 5
## 1038 5 9 1 6 4
## 665 6 26 0 7 1
## 602 20 5 1 19 4
## 709 21 7 1 17 3
## 1011 14 25 0 12 3
## 953 19 13 1 21 5
## 348 21 0 1 23 3
## 1017 3 29 0 3 1
## 840 10 21 0 11 3
## 26 6 26 0 8 1
## 519 20 6 1 25 5
## 211 12 15 0 10 2
## 932 19 13 1 26 3
## 593 5 15 1 7 0
## 555 14 30 0 9 2
## 373 2 9 1 26 4
## 844 1 25 0 7 1
## 544 6 27 0 5 1
## 490 14 17 1 11 3
## 905 15 11 1 21 3
## 937 4 25 0 2 1
## 1047 10 19 1 12 3
## 923 17 2 1 17 4
## 956 10 25 0 12 3
## 309 20 0 1 24 4
## 166 15 4 1 26 3
## 217 11 19 0 13 3
## 581 20 14 1 15 5
## 72 21 15 1 23 5
## 588 20 1 1 19 5
## 141 1 5 0 1 4
## 722 20 3 1 22 4
## 859 19 25 1 6 1
## 153 14 22 1 13 3
## 294 21 18 0 25 5
## 277 16 15 1 22 3
## 41 5 29 0 6 1
## 431 8 4 1 27 5
## 90 17 12 1 18 4
## 316 7 26 0 1 1
## 528 16 15 1 21 5
## 774 18 1 1 20 4
## 747 12 16 1 10 3
## 456 12 10 0 21 4
## 598 4 11 0 20 5
## 752 6 5 0 19 3
## 374 13 19 1 13 3
## 34 9 23 0 9 2
## 516 12 23 1 13 2
## 13 5 28 0 8 1
## 69 11 23 1 10 3
## 755 21 3 1 25 4
## 409 12 3 1 0 0
## 928 11 20 0 11 3
## 1006 14 17 0 12 5
## 537 11 21 1 14 3
## 983 17 10 1 27 4
## 291 9 30 1 2 3
## 671 10 18 1 10 3
## 121 6 28 0 0 1
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## 67 18 14 1 15 4
## 1014 21 8 1 22 4
## 165 5 30 0 7 1
## 236 16 13 1 20 3
## 610 2 27 0 8 1
## 330 12 19 1 9 3
## 726 13 15 0 13 3
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## 302 13 23 0 11 3
## 597 19 6 1 18 3
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## 1054 12 5 0 24 0
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## 775 0 28 0 4 1
## 1009 12 21 0 9 2
## 186 20 13 1 18 4
## 573 19 0 1 27 5
## 252 13 18 1 12 3
## 458 5 2 1 6 3
## 152 9 19 1 14 2
## 831 3 28 0 6 1
## 54 19 2 1 24 5
## 538 19 14 1 19 4
## 235 15 9 1 25 3
## 289 15 8 1 19 4
## 185 11 4 1 15 4
## 765 13 25 1 10 2
## 413 13 19 1 12 2
## 627 10 22 0 10 3
## 1041 5 23 0 19 1
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## 915 9 21 0 12 2
## 205 21 7 1 9 5
## 875 3 25 0 5 1
## 779 15 8 1 23 4
## 1039 10 25 0 14 3
## 564 19 14 1 26 5
## 794 9 21 1 12 2
## 1001 13 25 1 12 2
## 1042 21 15 1 26 4
## 727 15 6 1 21 5
## 346 21 8 1 17 4
## 1002 9 19 1 14 2
## 468 19 9 1 24 4
## 509 18 6 1 22 3
## 57 12 18 1 11 2
## 457 3 29 0 7 1
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## 357 7 26 0 6 1
## 279 14 11 1 20 5
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## 646 9 16 0 13 3
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## 129 14 3 0 27 3
## 218 9 24 1 10 3
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## 698 1 30 0 0 1
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## 797 8 30 0 7 1
## 1085 6 4 0 12 4
## 539 18 11 1 26 3
## 1084 21 1 1 17 3
## 757 12 25 1 9 2
## 1005 6 25 0 0 1
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## 222 10 23 1 13 2
## 1036 3 17 0 18 3
## 960 6 29 0 0 1
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## 989 21 8 1 21 5
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## 1046 12 20 0 12 3
## 1028 12 22 1 12 3
## 225 1 30 0 0 1
## 389 16 11 1 18 3
## 117 13 21 1 12 3
## 901 1 26 0 2 1
## blood_pressure sleep_quality breathing_problem noise_level
## 415 1 2 2 2
## 463 1 2 2 3
## 179 3 3 4 0
## 526 1 2 2 2
## 195 3 0 2 2
## 938 3 1 4 5
## 1038 3 5 3 4
## 665 2 4 2 1
## 602 3 1 3 4
## 709 3 1 4 3
## 1011 1 3 4 2
## 953 3 1 5 5
## 348 3 1 3 3
## 1017 2 4 1 2
## 840 1 3 2 2
## 26 2 5 2 2
## 519 3 1 4 3
## 211 1 2 2 3
## 932 3 1 5 3
## 593 3 1 1 3
## 555 3 5 5 1
## 373 3 4 1 2
## 844 2 5 1 2
## 544 2 4 1 1
## 490 1 2 2 3
## 905 3 1 4 3
## 937 2 4 2 1
## 1047 1 3 4 2
## 923 3 1 3 5
## 956 1 2 4 3
## 309 3 1 3 4
## 166 3 1 5 5
## 217 1 2 4 3
## 581 3 1 5 4
## 72 3 1 3 3
## 588 3 1 3 3
## 141 3 5 2 2
## 722 3 1 4 3
## 859 3 5 1 5
## 153 1 3 4 2
## 294 3 4 5 1
## 277 3 1 3 5
## 41 2 5 2 2
## 431 3 2 4 4
## 90 3 1 5 4
## 316 2 4 1 1
## 528 3 1 3 3
## 774 3 1 5 5
## 747 1 3 2 2
## 456 3 5 0 2
## 598 3 1 2 5
## 752 3 0 2 3
## 374 1 2 2 2
## 34 1 2 2 2
## 516 1 2 4 2
## 13 2 4 2 2
## 69 1 2 2 3
## 755 3 1 5 5
## 409 3 1 3 1
## 928 1 2 4 2
## 1006 3 4 5 5
## 537 1 3 4 3
## 983 3 1 4 4
## 291 3 3 4 4
## 671 1 3 2 2
## 121 2 4 2 2
## 480 2 5 1 2
## 67 3 1 4 4
## 1014 3 5 0 5
## 165 2 5 2 1
## 236 3 1 4 5
## 610 2 5 1 2
## 330 1 2 4 3
## 726 1 3 4 3
## 127 1 3 4 3
## 212 3 5 0 5
## 686 2 4 2 1
## 785 3 1 1 0
## 958 3 1 3 4
## 814 2 5 1 2
## 310 1 3 4 2
## 931 2 4 1 1
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## 243 1 3 2 3
## 862 3 4 2 4
## 847 2 4 1 1
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## 5 3 5 1 3
## 326 1 2 4 3
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## 764 1 2 4 3
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## 985 3 4 0 5
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## 589 2 4 1 2
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## 52 1 3 2 2
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## 1002 1 2 2 2
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## 270 2 4 2 1
## 1087 3 0 0 3
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## 797 2 5 1 2
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## 578 3 2 5 3
## 1046 1 3 2 3
## 1028 1 3 4 2
## 225 2 4 2 1
## 389 3 1 5 4
## 117 1 3 4 2
## 901 2 4 2 1
## living_conditions safety basic_needs academic_performance study_load
## 415 2 2 2 3 2
## 463 2 2 2 3 2
## 179 1 1 0 1 5
## 526 3 3 2 2 2
## 195 3 2 2 5 0
## 938 2 1 1 1 3
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## 627 3 2 3 2 2
## 1041 0 0 3 2 5
## 1070 2 2 3 3 2
## 915 3 2 3 2 3
## 205 0 1 1 2 0
## 875 4 4 4 5 1
## 779 1 2 2 1 5
## 1039 2 2 3 2 2
## 564 2 2 2 2 5
## 794 3 3 3 2 2
## 1001 3 2 3 3 2
## 1042 1 1 2 2 5
## 727 2 2 2 2 3
## 346 1 2 1 2 5
## 1002 3 3 3 2 2
## 468 1 1 1 2 4
## 509 2 2 1 1 3
## 57 3 2 2 3 2
## 457 3 4 5 5 1
## 617 2 2 2 1 5
## 357 3 5 4 4 1
## 279 0 3 0 5 1
## 270 3 4 5 5 2
## 1087 2 3 5 2 4
## 646 2 2 3 2 2
## 347 2 2 2 1 3
## 129 3 1 4 3 5
## 218 2 3 2 3 2
## 618 2 3 3 3 3
## 698 3 5 4 4 2
## 337 2 2 3 2 2
## 797 3 4 4 5 2
## 1085 4 4 1 4 4
## 539 2 1 2 2 4
## 1084 1 1 1 1 4
## 757 2 3 2 2 3
## 1005 4 5 5 4 1
## 553 3 4 5 4 2
## 724 3 4 5 4 2
## 390 4 4 5 5 1
## 498 4 5 4 5 1
## 222 3 2 2 3 2
## 1036 3 1 2 0 1
## 960 4 5 4 4 2
## 657 2 2 2 1 3
## 421 3 4 5 2 4
## 891 2 2 1 1 3
## 660 3 2 2 3 2
## 163 1 2 1 2 3
## 989 2 1 2 2 5
## 673 3 4 4 5 2
## 578 0 2 1 2 2
## 1046 2 2 3 2 3
## 1028 3 2 3 2 3
## 225 4 5 4 5 1
## 389 2 1 2 1 5
## 117 2 2 2 2 3
## 901 4 4 5 4 1
## teacher_student_relationship future_career_concerns social_support
## 415 2 3 3
## 463 3 3 2
## 179 0 4 0
## 526 2 3 2
## 195 3 5 0
## 938 2 5 1
## 1038 2 5 0
## 665 4 1 3
## 602 1 4 1
## 709 1 4 1
## 1011 2 2 3
## 953 1 4 1
## 348 1 4 1
## 1017 5 1 3
## 840 3 2 3
## 26 4 1 3
## 519 2 5 1
## 211 2 2 3
## 932 2 5 1
## 593 4 3 1
## 555 0 4 1
## 373 0 4 1
## 844 5 1 3
## 544 5 1 3
## 490 2 2 3
## 905 1 5 1
## 937 4 1 3
## 1047 3 2 3
## 923 1 5 1
## 956 3 3 3
## 309 2 5 1
## 166 1 5 1
## 217 3 3 3
## 581 2 5 1
## 72 2 4 1
## 588 1 4 1
## 141 3 3 1
## 722 1 5 1
## 859 0 2 0
## 153 3 3 3
## 294 2 3 0
## 277 2 4 1
## 41 4 1 3
## 431 3 0 0
## 90 1 5 1
## 316 4 1 3
## 528 1 5 1
## 774 2 5 1
## 747 3 2 3
## 456 2 5 1
## 598 1 3 1
## 752 0 4 0
## 374 3 2 3
## 34 2 2 2
## 516 2 3 3
## 13 4 1 3
## 69 2 2 3
## 755 2 4 1
## 409 2 1 1
## 928 2 2 2
## 1006 2 0 1
## 537 2 2 3
## 983 2 4 1
## 291 3 2 1
## 671 3 3 3
## 121 4 1 3
## 480 4 1 3
## 67 2 5 1
## 1014 4 4 0
## 165 5 1 3
## 236 1 5 1
## 610 4 1 3
## 330 3 2 2
## 726 3 2 2
## 127 3 3 2
## 212 4 3 1
## 686 5 1 3
## 785 2 3 1
## 958 2 5 1
## 814 5 1 3
## 310 3 3 3
## 931 5 1 3
## 744 3 1 1
## 878 4 1 3
## 243 2 2 3
## 862 1 1 0
## 847 4 1 3
## 792 2 2 0
## 113 5 1 3
## 1094 4 1 3
## 619 3 2 2
## 903 0 5 0
## 477 1 4 0
## 975 4 1 3
## 151 5 1 3
## 666 3 3 2
## 614 5 1 3
## 767 4 1 3
## 160 4 1 3
## 391 2 2 3
## 155 1 4 1
## 426 5 1 3
## 5 1 2 1
## 326 2 2 2
## 784 5 1 3
## 280 2 3 3
## 800 2 4 1
## 789 2 2 2
## 567 5 1 3
## 843 3 3 3
## 1082 1 5 1
## 238 3 3 3
## 764 3 2 3
## 339 5 1 3
## 985 1 3 1
## 39 1 4 1
## 822 2 0 0
## 137 5 1 3
## 455 1 0 1
## 738 2 5 1
## 560 4 1 3
## 589 4 1 3
## 83 2 5 1
## 696 4 1 3
## 879 3 3 2
## 986 1 4 1
## 196 1 4 1
## 769 2 0 1
## 680 2 3 3
## 286 1 3 1
## 606 5 1 3
## 500 2 4 1
## 996 2 3 2
## 344 1 5 1
## 1020 2 5 1
## 459 2 3 3
## 944 2 4 1
## 20 2 5 1
## 872 2 2 2
## 1096 2 3 3
## 861 2 2 2
## 164 3 2 2
## 52 3 3 2
## 876 3 3 3
## 534 4 1 3
## 177 2 4 1
## 554 3 2 2
## 827 2 5 1
## 84 4 1 3
## 523 3 3 2
## 633 4 5 0
## 392 1 4 1
## 302 2 2 2
## 597 1 5 1
## 877 3 2 2
## 706 5 1 3
## 1010 2 5 1
## 979 3 2 0
## 430 2 5 1
## 710 2 4 1
## 761 4 1 3
## 712 2 5 1
## 428 2 3 3
## 672 4 1 3
## 250 4 1 3
## 804 3 2 2
## 429 5 1 3
## 398 5 1 3
## 1054 0 2 0
## 381 2 2 2
## 545 4 1 3
## 40 4 1 3
## 522 0 3 0
## 473 4 1 3
## 200 2 5 1
## 125 3 3 2
## 265 2 3 3
## 775 4 1 3
## 1009 3 3 3
## 186 2 4 1
## 573 2 4 1
## 252 3 2 3
## 458 1 5 1
## 152 3 3 3
## 831 5 1 3
## 54 2 4 1
## 538 2 4 1
## 235 2 4 1
## 289 2 5 1
## 185 2 4 0
## 765 3 2 2
## 413 3 2 3
## 627 3 2 2
## 1041 4 2 1
## 1070 3 2 2
## 915 2 2 3
## 205 3 5 1
## 875 4 1 3
## 779 2 5 1
## 1039 2 2 2
## 564 1 4 1
## 794 3 2 2
## 1001 2 3 3
## 1042 1 4 1
## 727 1 5 1
## 346 1 5 1
## 1002 2 3 2
## 468 1 5 1
## 509 2 4 1
## 57 2 2 3
## 457 5 1 3
## 617 1 4 1
## 357 4 1 3
## 279 3 5 0
## 270 5 1 3
## 1087 1 4 1
## 646 3 3 3
## 347 1 4 1
## 129 4 2 1
## 218 2 2 2
## 618 3 2 2
## 698 4 1 3
## 337 2 2 3
## 797 4 1 3
## 1085 3 0 0
## 539 2 5 1
## 1084 2 5 1
## 757 2 2 3
## 1005 4 1 3
## 553 4 1 3
## 724 4 1 3
## 390 5 1 3
## 498 4 1 3
## 222 3 2 3
## 1036 4 0 1
## 960 4 1 3
## 657 1 4 1
## 421 4 0 1
## 891 2 5 1
## 660 3 2 3
## 163 1 4 1
## 989 2 5 1
## 673 4 1 3
## 578 4 2 0
## 1046 2 3 2
## 1028 2 3 2
## 225 5 1 3
## 389 1 5 1
## 117 2 3 2
## 901 5 1 3
## peer_pressure extracurricular_activities bullying stress_level
## 415 3 2 3 1
## 463 2 2 2 1
## 179 0 4 4 1
## 526 2 2 3 1
## 195 0 0 4 2
## 938 5 4 5 2
## 1038 3 4 0 1
## 665 1 1 1 0
## 602 5 5 5 2
## 709 4 4 5 2
## 1011 3 3 3 1
## 953 5 5 5 2
## 348 5 5 4 2
## 1017 1 2 1 0
## 840 2 2 2 1
## 26 2 1 1 0
## 519 5 5 5 2
## 211 2 2 2 1
## 932 5 5 5 2
## 593 2 5 5 2
## 555 2 3 0 0
## 373 4 3 0 2
## 844 1 2 1 0
## 544 1 2 1 0
## 490 2 3 2 1
## 905 5 5 4 2
## 937 2 2 1 0
## 1047 2 2 2 1
## 923 5 4 4 2
## 956 3 2 2 1
## 309 4 4 5 2
## 166 4 5 4 2
## 217 2 2 3 1
## 581 5 5 5 2
## 72 4 4 4 2
## 588 4 4 4 2
## 141 0 2 2 2
## 722 5 5 5 2
## 859 2 2 5 0
## 153 3 3 3 1
## 294 0 4 3 0
## 277 4 5 4 2
## 41 2 2 1 0
## 431 1 0 1 2
## 90 5 4 4 2
## 316 2 1 1 0
## 528 5 5 5 2
## 774 4 4 5 2
## 747 3 3 3 1
## 456 2 4 4 0
## 598 5 0 2 1
## 752 5 3 5 0
## 374 2 3 3 1
## 34 3 2 3 1
## 516 2 3 2 1
## 13 1 1 1 0
## 69 2 2 3 1
## 755 4 4 4 2
## 409 0 5 3 0
## 928 2 3 2 1
## 1006 3 4 4 1
## 537 3 3 3 1
## 983 5 5 4 2
## 291 1 5 3 0
## 671 3 2 3 1
## 121 2 2 1 0
## 480 2 1 1 0
## 67 5 4 5 2
## 1014 3 4 2 0
## 165 1 2 1 0
## 236 5 5 5 2
## 610 1 1 1 0
## 330 2 2 2 1
## 726 3 3 3 1
## 127 3 3 2 1
## 212 2 2 3 0
## 686 1 2 1 0
## 785 4 0 1 0
## 958 5 5 4 2
## 814 1 2 1 0
## 310 3 2 3 1
## 931 2 1 1 0
## 744 0 4 3 2
## 878 1 2 1 0
## 243 3 2 2 1
## 862 1 4 1 2
## 847 2 1 1 0
## 792 2 5 2 2
## 113 2 1 1 0
## 1094 1 1 1 0
## 619 2 2 2 1
## 903 2 2 1 1
## 477 1 4 3 1
## 975 2 2 1 0
## 151 2 2 1 0
## 666 2 3 3 1
## 614 1 2 1 0
## 767 1 2 1 0
## 160 2 2 1 0
## 391 3 3 2 1
## 155 4 4 4 2
## 426 2 2 1 0
## 5 5 0 5 1
## 326 3 3 3 1
## 784 1 1 1 0
## 280 2 2 2 1
## 800 4 5 4 2
## 789 3 2 3 1
## 567 2 2 1 0
## 843 2 3 3 1
## 1082 4 4 5 2
## 238 3 3 3 1
## 764 2 2 2 1
## 339 2 1 1 0
## 985 5 4 0 0
## 39 5 4 4 2
## 822 5 0 5 1
## 137 2 1 1 0
## 455 0 3 3 0
## 738 4 5 4 2
## 560 2 1 1 0
## 589 1 1 1 0
## 83 4 5 5 2
## 696 2 1 1 0
## 879 2 3 2 1
## 986 4 4 5 2
## 196 5 5 4 2
## 769 2 5 0 2
## 680 3 3 2 1
## 286 5 5 5 2
## 606 1 2 1 0
## 500 5 5 4 2
## 996 2 3 3 1
## 344 5 4 4 2
## 1020 4 4 4 2
## 459 3 2 3 1
## 944 5 5 4 2
## 20 4 4 5 2
## 872 3 2 3 1
## 1096 2 3 3 1
## 861 2 3 2 1
## 164 2 2 3 1
## 52 3 3 3 1
## 876 2 3 2 1
## 534 1 1 1 0
## 177 4 4 4 2
## 554 3 3 3 1
## 827 1 1 2 2
## 84 2 2 1 0
## 523 3 2 2 1
## 633 5 0 2 0
## 392 5 4 4 2
## 302 3 3 3 1
## 597 5 5 4 2
## 877 3 3 3 1
## 706 1 1 1 0
## 1010 4 4 4 2
## 979 3 1 1 2
## 430 5 4 4 2
## 710 4 5 4 2
## 761 2 1 1 0
## 712 5 4 5 2
## 428 2 2 3 1
## 672 1 2 1 0
## 250 2 1 1 0
## 804 3 2 3 1
## 429 1 1 1 0
## 398 1 1 1 0
## 1054 4 3 5 1
## 381 2 2 3 1
## 545 2 1 1 0
## 40 1 1 1 0
## 522 0 0 5 0
## 473 1 1 1 0
## 200 5 2 3 0
## 125 2 3 3 1
## 265 2 3 3 1
## 775 2 2 1 0
## 1009 3 2 3 1
## 186 4 5 5 2
## 573 4 5 4 2
## 252 3 3 2 1
## 458 1 1 0 1
## 152 3 3 2 1
## 831 2 1 1 0
## 54 4 5 5 2
## 538 5 4 4 2
## 235 5 5 4 2
## 289 5 5 5 2
## 185 2 4 3 2
## 765 3 3 2 1
## 413 3 2 3 1
## 627 2 2 2 1
## 1041 3 2 3 2
## 1070 3 3 2 1
## 915 2 3 2 1
## 205 5 0 0 0
## 875 1 1 1 0
## 779 5 4 4 2
## 1039 3 2 3 1
## 564 4 4 4 2
## 794 3 2 2 1
## 1001 3 2 2 1
## 1042 5 4 5 2
## 727 4 4 4 2
## 346 4 5 4 2
## 1002 2 3 3 1
## 468 4 4 4 2
## 509 5 4 4 2
## 57 2 3 2 1
## 457 1 1 1 0
## 617 5 5 4 2
## 357 1 1 1 0
## 279 2 2 1 1
## 270 2 2 1 0
## 1087 2 5 1 0
## 646 2 2 2 1
## 347 5 4 4 2
## 129 1 3 2 2
## 218 3 3 3 1
## 618 3 3 3 1
## 698 2 1 1 0
## 337 3 3 2 1
## 797 2 1 1 0
## 1085 0 3 2 2
## 539 5 4 4 2
## 1084 5 5 5 2
## 757 3 3 2 1
## 1005 2 1 1 0
## 553 1 2 1 0
## 724 1 2 1 0
## 390 1 2 1 0
## 498 1 2 1 0
## 222 3 3 3 1
## 1036 1 2 2 0
## 960 2 1 1 0
## 657 4 5 4 2
## 421 2 5 2 2
## 891 4 4 5 2
## 660 2 2 3 1
## 163 5 4 5 2
## 989 5 5 4 2
## 673 1 1 1 0
## 578 3 1 3 0
## 1046 2 3 2 1
## 1028 2 2 3 1
## 225 1 2 1 0
## 389 5 5 4 2
## 117 3 3 3 1
## 901 1 1 1 0# Cek dimensi akhirnya
dim(data_250) ## [1] 250 21Y <- data_250$stress_level
X <- data_250[, colnames(data_250) != "stress_level"]summary(data_250)## anxiety_level self_esteem mental_health_history depression
## Min. : 0.0 Min. : 0.00 Min. :0.000 Min. : 0.00
## 1st Qu.: 6.0 1st Qu.:11.00 1st Qu.:0.000 1st Qu.: 7.00
## Median :11.0 Median :19.00 Median :1.000 Median :12.00
## Mean :11.1 Mean :17.72 Mean :0.512 Mean :13.16
## 3rd Qu.:16.0 3rd Qu.:25.00 3rd Qu.:1.000 3rd Qu.:20.00
## Max. :21.0 Max. :30.00 Max. :1.000 Max. :27.00
## headache blood_pressure sleep_quality breathing_problem
## Min. :0.000 Min. :1.000 Min. :0.000 Min. :0.000
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.000
## Median :3.000 Median :2.000 Median :2.000 Median :2.000
## Mean :2.624 Mean :2.152 Mean :2.644 Mean :2.768
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.000 Max. :3.000 Max. :5.000 Max. :5.000
## noise_level living_conditions safety basic_needs
## Min. :0.00 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:2.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
## Median :3.00 Median :2.000 Median :2.000 Median :2.000
## Mean :2.76 Mean :2.492 Mean :2.688 Mean :2.712
## 3rd Qu.:4.00 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000
## Max. :5.00 Max. :5.000 Max. :5.000 Max. :5.000
## academic_performance study_load teacher_student_relationship
## Min. :0.000 Min. :0.00 Min. :0.00
## 1st Qu.:2.000 1st Qu.:2.00 1st Qu.:2.00
## Median :2.000 Median :3.00 Median :2.00
## Mean :2.776 Mean :2.72 Mean :2.64
## 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.00
## Max. :5.000 Max. :5.00 Max. :5.00
## future_career_concerns social_support peer_pressure
## Min. :0.000 Min. :0.000 Min. :0.00
## 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:2.00
## Median :3.000 Median :2.000 Median :2.00
## Mean :2.696 Mean :1.872 Mean :2.76
## 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.00
## Max. :5.000 Max. :3.000 Max. :5.00
## extracurricular_activities bullying stress_level
## Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:0.000
## Median :3.000 Median :3.000 Median :1.000
## Mean :2.808 Mean :2.636 Mean :1.008
## 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:2.000
## Max. :5.000 Max. :5.000 Max. :2.000colnames(X) <- paste0("X", 1:ncol(X))
colnames(X)## [1] "X1" "X2" "X3" "X4" "X5" "X6" "X7" "X8" "X9" "X10" "X11" "X12"
## [13] "X13" "X14" "X15" "X16" "X17" "X18" "X19" "X20"X_scaled <- scale(X)
X_scaled## X1 X2 X3 X4 X5 X6
## 415 -0.17609111 0.82198659 0.9743267 -0.5340380 -0.4538710 -1.3466333
## 463 -0.01600828 0.59629011 -1.0222444 -0.0210332 0.2734864 -1.3466333
## 179 -1.13658807 0.82198659 -1.0222444 1.1332277 -1.9085859 0.9912718
## 526 0.30415737 -0.30649582 0.9743267 -0.1492844 -0.4538710 -1.3466333
## 195 -0.81642242 -0.08079934 -1.0222444 -1.5600477 -0.4538710 0.9912718
## 938 1.42473716 -1.99921944 0.9743267 1.1332277 1.7282012 0.9912718
## 1038 -0.97650525 -0.98358527 0.9743267 -0.9187917 1.0008438 0.9912718
## 665 -0.81642242 0.93483483 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 602 1.42473716 -1.43497824 0.9743267 0.7484740 1.0008438 0.9912718
## 709 1.58481999 -1.20928175 0.9743267 0.4919716 0.2734864 0.9912718
## 1011 0.46424020 0.82198659 -1.0222444 -0.1492844 0.2734864 -1.3466333
## 953 1.26465434 -0.53219231 0.9743267 1.0049765 1.7282012 0.9912718
## 348 1.58481999 -1.99921944 0.9743267 1.2614789 0.2734864 0.9912718
## 1017 -1.29667090 1.27337955 -1.0222444 -1.3035453 -1.1812285 -0.1776808
## 840 -0.17609111 0.37059362 -1.0222444 -0.2775356 0.2734864 -1.3466333
## 26 -0.81642242 0.93483483 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 519 1.42473716 -1.32212999 0.9743267 1.5179813 1.7282012 0.9912718
## 211 0.14407454 -0.30649582 -1.0222444 -0.4057868 -0.4538710 -1.3466333
## 932 1.26465434 -0.53219231 0.9743267 1.6462325 0.2734864 0.9912718
## 593 -0.97650525 -0.30649582 0.9743267 -0.7905404 -1.9085859 0.9912718
## 555 0.46424020 1.38622779 -1.0222444 -0.5340380 -0.4538710 0.9912718
## 373 -1.45675373 -0.98358527 0.9743267 1.6462325 1.0008438 0.9912718
## 844 -1.61683656 0.82198659 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 544 -0.81642242 1.04768307 -1.0222444 -1.0470429 -1.1812285 -0.1776808
## 490 0.46424020 -0.08079934 0.9743267 -0.2775356 0.2734864 -1.3466333
## 905 0.62432303 -0.75788879 0.9743267 1.0049765 0.2734864 0.9912718
## 937 -1.13658807 0.82198659 -1.0222444 -1.4317965 -1.1812285 -0.1776808
## 1047 -0.17609111 0.14489714 0.9743267 -0.1492844 0.2734864 -1.3466333
## 923 0.94448868 -1.77352296 0.9743267 0.4919716 1.0008438 0.9912718
## 956 -0.17609111 0.82198659 -1.0222444 -0.1492844 0.2734864 -1.3466333
## 309 1.42473716 -1.99921944 0.9743267 1.3897301 1.0008438 0.9912718
## 166 0.62432303 -1.54782648 0.9743267 1.6462325 0.2734864 0.9912718
## 217 -0.01600828 0.14489714 -1.0222444 -0.0210332 0.2734864 -1.3466333
## 581 1.42473716 -0.41934406 0.9743267 0.2354692 1.7282012 0.9912718
## 72 1.58481999 -0.30649582 0.9743267 1.2614789 1.7282012 0.9912718
## 588 1.42473716 -1.88637120 0.9743267 0.7484740 1.7282012 0.9912718
## 141 -1.61683656 -1.43497824 -1.0222444 -1.5600477 1.0008438 0.9912718
## 722 1.42473716 -1.66067472 0.9743267 1.1332277 1.0008438 0.9912718
## 859 1.26465434 0.82198659 0.9743267 -0.9187917 -1.1812285 0.9912718
## 153 0.46424020 0.48344187 0.9743267 -0.0210332 0.2734864 -1.3466333
## 294 1.58481999 0.03204890 -1.0222444 1.5179813 1.7282012 0.9912718
## 277 0.78440585 -0.30649582 0.9743267 1.1332277 0.2734864 0.9912718
## 41 -0.97650525 1.27337955 -1.0222444 -0.9187917 -1.1812285 -0.1776808
## 431 -0.49625676 -1.54782648 0.9743267 1.7744837 1.7282012 0.9912718
## 90 0.94448868 -0.64504055 0.9743267 0.6202228 1.0008438 0.9912718
## 316 -0.65633959 0.93483483 -1.0222444 -1.5600477 -1.1812285 -0.1776808
## 528 0.78440585 -0.30649582 0.9743267 1.0049765 1.7282012 0.9912718
## 774 1.10457151 -1.88637120 0.9743267 0.8767253 1.0008438 0.9912718
## 747 0.14407454 -0.19364758 0.9743267 -0.4057868 0.2734864 -1.3466333
## 456 0.14407454 -0.87073703 -1.0222444 1.0049765 1.0008438 0.9912718
## 598 -1.13658807 -0.75788879 -1.0222444 0.8767253 1.7282012 0.9912718
## 752 -0.81642242 -1.43497824 -1.0222444 0.7484740 0.2734864 0.9912718
## 374 0.30415737 0.14489714 0.9743267 -0.0210332 0.2734864 -1.3466333
## 34 -0.33617394 0.59629011 -1.0222444 -0.5340380 -0.4538710 -1.3466333
## 516 0.14407454 0.59629011 0.9743267 -0.0210332 -0.4538710 -1.3466333
## 13 -0.97650525 1.16053131 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 69 -0.01600828 0.59629011 0.9743267 -0.4057868 0.2734864 -1.3466333
## 755 1.58481999 -1.66067472 0.9743267 1.5179813 1.0008438 0.9912718
## 409 0.14407454 -1.66067472 0.9743267 -1.6882989 -1.9085859 0.9912718
## 928 -0.01600828 0.25774538 -1.0222444 -0.2775356 0.2734864 -1.3466333
## 1006 0.46424020 -0.08079934 -1.0222444 -0.1492844 1.7282012 0.9912718
## 537 -0.01600828 0.37059362 0.9743267 0.1072180 0.2734864 -1.3466333
## 983 0.94448868 -0.87073703 0.9743267 1.7744837 1.0008438 0.9912718
## 291 -0.33617394 1.38622779 0.9743267 -1.4317965 0.2734864 0.9912718
## 671 -0.17609111 0.03204890 0.9743267 -0.4057868 0.2734864 -1.3466333
## 121 -0.81642242 1.16053131 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 480 -1.61683656 1.27337955 -1.0222444 -1.4317965 -1.1812285 -0.1776808
## 67 1.10457151 -0.41934406 0.9743267 0.2354692 1.0008438 0.9912718
## 1014 1.58481999 -1.09643351 0.9743267 1.1332277 1.0008438 0.9912718
## 165 -0.97650525 1.38622779 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 236 0.78440585 -0.53219231 0.9743267 0.8767253 0.2734864 0.9912718
## 610 -1.45675373 1.04768307 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 330 0.14407454 0.14489714 0.9743267 -0.5340380 0.2734864 -1.3466333
## 726 0.30415737 -0.30649582 -1.0222444 -0.0210332 0.2734864 -1.3466333
## 127 0.30415737 -0.30649582 0.9743267 0.1072180 0.2734864 -1.3466333
## 212 0.78440585 -0.75788879 0.9743267 0.3637204 -1.1812285 0.9912718
## 686 -1.13658807 1.04768307 -1.0222444 -1.0470429 -1.1812285 -0.1776808
## 785 -0.65633959 -0.30649582 0.9743267 -1.3035453 1.7282012 0.9912718
## 958 0.62432303 -1.32212999 0.9743267 0.6202228 0.2734864 0.9912718
## 814 -0.97650525 0.82198659 -1.0222444 -1.4317965 -1.1812285 -0.1776808
## 310 -0.17609111 0.37059362 -1.0222444 -0.0210332 0.2734864 -1.3466333
## 931 -1.45675373 0.82198659 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 744 1.58481999 0.25774538 0.9743267 1.1332277 -1.1812285 0.9912718
## 878 -1.77691938 1.04768307 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 243 0.14407454 -0.19364758 -1.0222444 -0.4057868 0.2734864 -1.3466333
## 862 -0.01600828 0.48344187 0.9743267 1.3897301 -0.4538710 0.9912718
## 847 -0.49625676 1.38622779 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 792 1.26465434 -0.41934406 -1.0222444 1.2614789 1.7282012 0.9912718
## 113 -0.97650525 1.04768307 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 1094 -1.61683656 1.38622779 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 619 -0.33617394 0.59629011 -1.0222444 0.1072180 0.2734864 -1.3466333
## 903 1.58481999 -0.87073703 -1.0222444 1.0049765 -1.1812285 0.9912718
## 477 1.42473716 -0.98358527 0.9743267 0.8767253 -0.4538710 0.9912718
## 975 -1.61683656 0.93483483 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 151 -0.49625676 1.27337955 -1.0222444 -1.5600477 -1.1812285 -0.1776808
## 666 -0.17609111 -0.30649582 -1.0222444 -0.4057868 -0.4538710 -1.3466333
## 614 -1.61683656 1.27337955 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 767 -1.45675373 0.82198659 -1.0222444 -1.4317965 -1.1812285 -0.1776808
## 160 -1.61683656 1.38622779 -1.0222444 -0.9187917 -1.1812285 -0.1776808
## 391 0.46424020 0.59629011 0.9743267 0.1072180 -0.4538710 -1.3466333
## 155 1.10457151 -1.88637120 0.9743267 0.3637204 1.0008438 0.9912718
## 426 -0.65633959 0.93483483 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 5 0.78440585 1.16053131 -1.0222444 -0.7905404 -0.4538710 0.9912718
## 326 -0.17609111 0.25774538 0.9743267 -0.0210332 0.2734864 -1.3466333
## 784 -1.45675373 1.38622779 -1.0222444 -1.0470429 -1.1812285 -0.1776808
## 280 0.30415737 -0.19364758 0.9743267 -0.1492844 0.2734864 -1.3466333
## 800 1.26465434 -1.88637120 0.9743267 1.7744837 1.0008438 0.9912718
## 789 -0.17609111 0.70913835 -1.0222444 -0.1492844 -0.4538710 -1.3466333
## 567 -1.45675373 0.82198659 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 843 -0.01600828 -0.19364758 -1.0222444 0.1072180 0.2734864 -1.3466333
## 1082 0.62432303 -1.20928175 0.9743267 1.0049765 1.0008438 0.9912718
## 238 0.30415737 0.82198659 0.9743267 -0.2775356 -0.4538710 -1.3466333
## 764 0.30415737 0.03204890 -1.0222444 -0.5340380 0.2734864 -1.3466333
## 339 -0.49625676 1.38622779 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 985 -0.33617394 1.27337955 -1.0222444 -0.9187917 0.2734864 0.9912718
## 39 1.58481999 -1.32212999 0.9743267 0.8767253 0.2734864 0.9912718
## 822 1.58481999 1.16053131 -1.0222444 0.8767253 -1.9085859 0.9912718
## 137 -0.81642242 0.82198659 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 455 -1.61683656 0.14489714 -1.0222444 -1.0470429 -1.9085859 0.9912718
## 738 0.62432303 -1.99921944 0.9743267 1.5179813 1.7282012 0.9912718
## 560 -1.77691938 1.38622779 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 589 -1.61683656 0.93483483 -1.0222444 -1.3035453 -1.1812285 -0.1776808
## 83 0.94448868 -0.30649582 0.9743267 0.4919716 1.7282012 0.9912718
## 696 -1.77691938 0.82198659 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 879 -0.33617394 -0.08079934 0.9743267 -0.5340380 0.2734864 -1.3466333
## 986 1.26465434 -0.87073703 0.9743267 0.2354692 1.0008438 0.9912718
## 196 0.78440585 -1.54782648 0.9743267 1.6462325 1.0008438 0.9912718
## 769 -1.77691938 1.04768307 -1.0222444 1.1332277 1.0008438 0.9912718
## 680 -0.01600828 0.59629011 -1.0222444 -0.1492844 -0.4538710 -1.3466333
## 286 -1.61683656 1.04768307 -1.0222444 -1.6882989 0.2734864 0.9912718
## 606 -1.45675373 1.27337955 -1.0222444 -1.5600477 -1.1812285 -0.1776808
## 500 0.62432303 -0.53219231 0.9743267 1.1332277 1.7282012 0.9912718
## 996 -0.33617394 0.59629011 -1.0222444 -0.2775356 -0.4538710 -1.3466333
## 344 1.58481999 -1.54782648 0.9743267 1.6462325 0.2734864 0.9912718
## 1020 1.26465434 -1.99921944 0.9743267 1.3897301 1.0008438 0.9912718
## 459 0.46424020 -0.08079934 0.9743267 -0.4057868 -0.4538710 -1.3466333
## 944 0.62432303 -1.66067472 0.9743267 1.3897301 1.7282012 0.9912718
## 20 1.58481999 -1.88637120 0.9743267 1.5179813 1.0008438 0.9912718
## 872 0.46424020 0.14489714 -1.0222444 -0.2775356 0.2734864 -1.3466333
## 1096 -0.01600828 -0.08079934 -1.0222444 0.1072180 0.2734864 -1.3466333
## 861 -0.17609111 -0.30649582 0.9743267 -0.2775356 0.2734864 -1.3466333
## 164 -0.01600828 -0.30649582 -1.0222444 -0.4057868 -0.4538710 -1.3466333
## 52 -0.17609111 -0.19364758 -1.0222444 0.1072180 0.2734864 -1.3466333
## 876 0.14407454 -0.08079934 0.9743267 -0.0210332 0.2734864 -1.3466333
## 534 -0.65633959 0.82198659 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 177 0.94448868 -0.30649582 0.9743267 1.2614789 1.7282012 0.9912718
## 554 -0.17609111 0.70913835 0.9743267 -0.4057868 -0.4538710 -1.3466333
## 827 1.10457151 -1.43497824 0.9743267 1.3897301 1.0008438 0.9912718
## 84 -1.77691938 0.93483483 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 523 0.30415737 0.59629011 -1.0222444 -0.5340380 0.2734864 -1.3466333
## 633 -1.13658807 1.38622779 -1.0222444 -1.0470429 -0.4538710 0.9912718
## 392 1.58481999 -1.99921944 0.9743267 1.5179813 0.2734864 0.9912718
## 302 0.30415737 0.59629011 -1.0222444 -0.2775356 0.2734864 -1.3466333
## 597 1.26465434 -1.32212999 0.9743267 0.6202228 0.2734864 0.9912718
## 877 0.30415737 -0.08079934 -1.0222444 -0.2775356 0.2734864 -1.3466333
## 706 -0.65633959 1.04768307 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 1010 1.26465434 -0.75788879 0.9743267 1.3897301 1.0008438 0.9912718
## 979 0.94448868 0.70913835 0.9743267 -0.1492844 0.2734864 0.9912718
## 430 0.78440585 -0.75788879 0.9743267 0.6202228 1.0008438 0.9912718
## 710 1.42473716 -0.75788879 0.9743267 1.7744837 1.0008438 0.9912718
## 761 -0.97650525 1.27337955 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 712 0.62432303 -1.88637120 0.9743267 1.3897301 1.0008438 0.9912718
## 428 -0.33617394 0.25774538 -1.0222444 -0.4057868 -0.4538710 -1.3466333
## 672 -0.49625676 0.93483483 -1.0222444 -1.4317965 -1.1812285 -0.1776808
## 250 -0.65633959 1.04768307 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 804 -0.01600828 0.37059362 -1.0222444 -0.1492844 0.2734864 -1.3466333
## 429 -1.61683656 1.16053131 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 398 -1.77691938 0.93483483 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 1054 0.14407454 -1.43497824 -1.0222444 1.3897301 -1.9085859 0.9912718
## 381 -0.33617394 0.25774538 -1.0222444 -0.5340380 0.2734864 -1.3466333
## 545 -0.65633959 1.04768307 -1.0222444 -0.6622892 -1.1812285 -0.1776808
## 40 -0.97650525 0.82198659 -1.0222444 -0.9187917 -1.1812285 -0.1776808
## 522 0.14407454 -0.08079934 0.9743267 1.5179813 0.2734864 0.9912718
## 473 -0.49625676 1.27337955 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 200 -1.45675373 0.59629011 -1.0222444 1.6462325 1.0008438 0.9912718
## 125 0.30415737 0.25774538 0.9743267 0.1072180 0.2734864 -1.3466333
## 265 -0.33617394 -0.08079934 0.9743267 -0.0210332 0.2734864 -1.3466333
## 775 -1.77691938 1.16053131 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 1009 0.14407454 0.37059362 -1.0222444 -0.5340380 -0.4538710 -1.3466333
## 186 1.42473716 -0.53219231 0.9743267 0.6202228 1.0008438 0.9912718
## 573 1.26465434 -1.99921944 0.9743267 1.7744837 1.7282012 0.9912718
## 252 0.30415737 0.03204890 0.9743267 -0.1492844 0.2734864 -1.3466333
## 458 -0.97650525 -1.77352296 0.9743267 -0.9187917 0.2734864 0.9912718
## 152 -0.33617394 0.14489714 0.9743267 0.1072180 -0.4538710 -1.3466333
## 831 -1.29667090 1.16053131 -1.0222444 -0.9187917 -1.1812285 -0.1776808
## 54 1.26465434 -1.77352296 0.9743267 1.3897301 1.7282012 0.9912718
## 538 1.26465434 -0.41934406 0.9743267 0.7484740 1.0008438 0.9912718
## 235 0.62432303 -0.98358527 0.9743267 1.5179813 0.2734864 0.9912718
## 289 0.62432303 -1.09643351 0.9743267 0.7484740 1.0008438 0.9912718
## 185 -0.01600828 -1.54782648 0.9743267 0.2354692 1.0008438 0.9912718
## 765 0.30415737 0.82198659 0.9743267 -0.4057868 -0.4538710 -1.3466333
## 413 0.30415737 0.14489714 0.9743267 -0.1492844 -0.4538710 -1.3466333
## 627 -0.17609111 0.48344187 -1.0222444 -0.4057868 0.2734864 -1.3466333
## 1041 -0.97650525 0.59629011 -1.0222444 0.7484740 -1.1812285 0.9912718
## 1070 0.30415737 0.82198659 0.9743267 -0.4057868 -0.4538710 -1.3466333
## 915 -0.33617394 0.37059362 -1.0222444 -0.1492844 -0.4538710 -1.3466333
## 205 1.58481999 -1.20928175 0.9743267 -0.5340380 1.7282012 0.9912718
## 875 -1.29667090 0.82198659 -1.0222444 -1.0470429 -1.1812285 -0.1776808
## 779 0.62432303 -1.09643351 0.9743267 1.2614789 1.0008438 0.9912718
## 1039 -0.17609111 0.82198659 -1.0222444 0.1072180 0.2734864 -1.3466333
## 564 1.26465434 -0.41934406 0.9743267 1.6462325 1.7282012 0.9912718
## 794 -0.33617394 0.37059362 0.9743267 -0.1492844 -0.4538710 -1.3466333
## 1001 0.30415737 0.82198659 0.9743267 -0.1492844 -0.4538710 -1.3466333
## 1042 1.58481999 -0.30649582 0.9743267 1.6462325 1.0008438 0.9912718
## 727 0.62432303 -1.32212999 0.9743267 1.0049765 1.7282012 0.9912718
## 346 1.58481999 -1.09643351 0.9743267 0.4919716 1.0008438 0.9912718
## 1002 -0.33617394 0.14489714 0.9743267 0.1072180 -0.4538710 -1.3466333
## 468 1.26465434 -0.98358527 0.9743267 1.3897301 1.0008438 0.9912718
## 509 1.10457151 -1.32212999 0.9743267 1.1332277 0.2734864 0.9912718
## 57 0.14407454 0.03204890 0.9743267 -0.2775356 -0.4538710 -1.3466333
## 457 -1.29667090 1.27337955 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 617 1.42473716 -0.30649582 0.9743267 1.6462325 1.0008438 0.9912718
## 357 -0.65633959 0.93483483 -1.0222444 -0.9187917 -1.1812285 -0.1776808
## 279 0.46424020 -0.75788879 0.9743267 0.8767253 1.7282012 0.9912718
## 270 -0.49625676 1.16053131 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 1087 -0.33617394 -0.53219231 0.9743267 0.6202228 1.7282012 0.9912718
## 646 -0.33617394 -0.19364758 -1.0222444 -0.0210332 0.2734864 -1.3466333
## 347 0.62432303 -1.09643351 0.9743267 1.1332277 1.0008438 0.9912718
## 129 0.46424020 -1.66067472 -1.0222444 1.7744837 0.2734864 0.9912718
## 218 -0.33617394 0.70913835 0.9743267 -0.4057868 0.2734864 -1.3466333
## 618 -0.01600828 0.14489714 0.9743267 -0.4057868 -0.4538710 -1.3466333
## 698 -1.61683656 1.38622779 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 337 0.14407454 -0.30649582 0.9743267 -0.1492844 -0.4538710 -1.3466333
## 797 -0.49625676 1.38622779 -1.0222444 -0.7905404 -1.1812285 -0.1776808
## 1085 -0.81642242 -1.54782648 -1.0222444 -0.1492844 1.0008438 0.9912718
## 539 1.10457151 -0.75788879 0.9743267 1.6462325 0.2734864 0.9912718
## 1084 1.58481999 -1.88637120 0.9743267 0.4919716 0.2734864 0.9912718
## 757 0.14407454 0.82198659 0.9743267 -0.5340380 -0.4538710 -1.3466333
## 1005 -0.81642242 0.82198659 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 553 -0.65633959 0.93483483 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 724 -1.61683656 1.27337955 -1.0222444 -1.1752941 -1.1812285 -0.1776808
## 390 -1.77691938 0.82198659 -1.0222444 -1.0470429 -1.1812285 -0.1776808
## 498 -1.77691938 1.04768307 -1.0222444 -1.0470429 -1.1812285 -0.1776808
## 222 -0.17609111 0.59629011 0.9743267 -0.0210332 -0.4538710 -1.3466333
## 1036 -1.29667090 -0.08079934 -1.0222444 0.6202228 0.2734864 0.9912718
## 960 -0.81642242 1.27337955 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 657 1.58481999 -1.09643351 0.9743267 1.6462325 1.0008438 0.9912718
## 421 -1.61683656 1.16053131 -1.0222444 0.1072180 0.2734864 0.9912718
## 891 1.10457151 -0.30649582 0.9743267 1.5179813 1.7282012 0.9912718
## 660 -0.01600828 0.59629011 0.9743267 -0.1492844 -0.4538710 -1.3466333
## 163 0.62432303 -0.64504055 0.9743267 1.7744837 0.2734864 0.9912718
## 989 1.58481999 -1.09643351 0.9743267 1.0049765 1.7282012 0.9912718
## 673 -0.65633959 0.93483483 -1.0222444 -1.4317965 -1.1812285 -0.1776808
## 578 -0.65633959 -0.75788879 -1.0222444 -0.5340380 0.2734864 0.9912718
## 1046 0.14407454 0.25774538 -1.0222444 -0.1492844 0.2734864 -1.3466333
## 1028 0.14407454 0.48344187 0.9743267 -0.1492844 0.2734864 -1.3466333
## 225 -1.61683656 1.38622779 -1.0222444 -1.6882989 -1.1812285 -0.1776808
## 389 0.78440585 -0.75788879 0.9743267 0.6202228 0.2734864 0.9912718
## 117 0.30415737 0.37059362 0.9743267 -0.1492844 0.2734864 -1.3466333
## 901 -1.61683656 0.93483483 -1.0222444 -1.4317965 -1.1812285 -0.1776808
## X7 X8 X9 X10 X11 X12
## 415 -0.4266513 -0.5241664 -0.5813162 -0.4478722 -0.5225348 -0.4978611
## 463 -0.4266513 -0.5241664 0.1835735 -0.4478722 -0.5225348 -0.4978611
## 179 0.2358507 0.8408502 -2.1110958 -1.3581815 -1.2820330 -1.8963473
## 526 -0.4266513 -0.5241664 -0.5813162 0.4624371 0.2369634 -0.4978611
## 195 -1.7516551 -0.5241664 -0.5813162 0.4624371 -0.5225348 -0.4978611
## 938 -1.0891532 0.8408502 1.7133531 -0.4478722 -1.2820330 -1.1971042
## 1038 1.5608546 0.1583419 0.9484633 -2.2684909 0.2369634 -0.4978611
## 665 0.8983526 -0.5241664 -1.3462060 0.4624371 1.7559599 1.5998682
## 602 -1.0891532 0.1583419 0.9484633 -1.3581815 -1.2820330 -0.4978611
## 709 -1.0891532 0.8408502 0.1835735 -1.3581815 -1.2820330 -1.1971042
## 1011 0.2358507 0.8408502 -0.5813162 -0.4478722 -0.5225348 -0.4978611
## 953 -1.0891532 1.5233585 1.7133531 -0.4478722 -0.5225348 -0.4978611
## 348 -1.0891532 0.1583419 0.1835735 -0.4478722 -0.5225348 -1.1971042
## 1017 0.8983526 -1.2066747 -0.5813162 1.3727465 0.9964617 1.5998682
## 840 0.2358507 -0.5241664 -0.5813162 -0.4478722 0.2369634 -0.4978611
## 26 1.5608546 -0.5241664 -0.5813162 1.3727465 1.7559599 0.9006251
## 519 -1.0891532 0.8408502 0.1835735 -0.4478722 -1.2820330 -1.1971042
## 211 -0.4266513 -0.5241664 0.1835735 0.4624371 0.2369634 0.2013820
## 932 -1.0891532 1.5233585 0.1835735 -0.4478722 -0.5225348 -0.4978611
## 593 -1.0891532 -1.2066747 0.1835735 2.2830558 0.2369634 -1.1971042
## 555 1.5608546 1.5233585 -1.3462060 1.3727465 -1.2820330 0.2013820
## 373 0.8983526 -1.2066747 -0.5813162 -0.4478722 1.7559599 0.2013820
## 844 1.5608546 -1.2066747 -0.5813162 1.3727465 0.9964617 1.5998682
## 544 0.8983526 -1.2066747 -1.3462060 1.3727465 0.9964617 1.5998682
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## 891 -1.0891532 0.8408502 1.7133531 -0.4478722 -0.5225348 -1.1971042
## 660 -0.4266513 -0.5241664 0.1835735 0.4624371 -0.5225348 -0.4978611
## 163 -1.0891532 1.5233585 0.9484633 -1.3581815 -0.5225348 -1.1971042
## 989 -1.0891532 1.5233585 1.7133531 -0.4478722 -1.2820330 -0.4978611
## 673 0.8983526 -1.2066747 -1.3462060 0.4624371 0.9964617 0.9006251
## 578 -0.4266513 1.5233585 0.1835735 -2.2684909 -0.5225348 -1.1971042
## 1046 0.2358507 -0.5241664 0.1835735 -0.4478722 -0.5225348 0.2013820
## 1028 0.2358507 0.8408502 -0.5813162 0.4624371 -0.5225348 0.2013820
## 225 0.8983526 -0.5241664 -1.3462060 1.3727465 1.7559599 0.9006251
## 389 -1.0891532 1.5233585 0.9484633 -0.4478722 -1.2820330 -0.4978611
## 117 0.2358507 0.8408502 -0.5813162 -0.4478722 -0.5225348 -0.4978611
## 901 0.8983526 -0.5241664 -1.3462060 1.3727465 0.9964617 1.5998682
## X13 X14 X15 X16 X17 X18
## 415 0.1572194 -0.555439 -0.4895295 0.1993760 1.0754979 0.1651898
## 463 0.1572194 -0.555439 0.2753603 0.1993760 0.1220423 -0.5231010
## 179 -1.2465249 1.758890 -2.0193090 0.8552183 -1.7848689 -1.8996827
## 526 -0.5446528 -0.555439 -0.4895295 0.1993760 0.1220423 -0.5231010
## 195 1.5609636 -2.098325 0.2753603 1.5110606 -1.7848689 -1.8996827
## 938 -1.2465249 0.216004 -0.4895295 1.5110606 -0.8314133 1.5417715
## 1038 -1.9483970 -2.098325 -0.4895295 1.5110606 -1.7848689 0.1651898
## 665 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 602 -0.5446528 0.987447 -1.2544193 0.8552183 -0.8314133 1.5417715
## 709 -1.2465249 0.216004 -1.2544193 0.8552183 -0.8314133 0.8534807
## 1011 0.1572194 0.216004 -0.4895295 -0.4564662 1.0754979 0.1651898
## 953 -1.2465249 0.216004 -1.2544193 0.8552183 -0.8314133 1.5417715
## 348 -1.2465249 0.987447 -1.2544193 0.8552183 -0.8314133 1.5417715
## 1017 0.8590915 -0.555439 1.8051399 -1.1123085 1.0754979 -1.2113919
## 840 0.1572194 0.216004 0.2753603 -0.4564662 1.0754979 -0.5231010
## 26 0.8590915 -1.326882 1.0402501 -1.1123085 1.0754979 -0.5231010
## 519 -0.5446528 0.987447 -0.4895295 1.5110606 -0.8314133 1.5417715
## 211 -0.5446528 0.216004 -0.4895295 -0.4564662 1.0754979 -0.5231010
## 932 -0.5446528 0.216004 -0.4895295 1.5110606 -0.8314133 1.5417715
## 593 -1.2465249 -1.326882 1.0402501 0.1993760 -0.8314133 -0.5231010
## 555 1.5609636 -2.098325 -2.0193090 0.8552183 -0.8314133 -0.5231010
## 373 0.8590915 1.758890 -2.0193090 0.8552183 -0.8314133 0.8534807
## 844 1.5609636 -0.555439 1.8051399 -1.1123085 1.0754979 -1.2113919
## 544 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 490 -0.5446528 -0.555439 -0.4895295 -0.4564662 1.0754979 -0.5231010
## 905 -0.5446528 0.216004 -1.2544193 1.5110606 -0.8314133 1.5417715
## 937 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 1047 0.1572194 -0.555439 0.2753603 -0.4564662 1.0754979 -0.5231010
## 923 -0.5446528 0.987447 -1.2544193 1.5110606 -0.8314133 1.5417715
## 956 0.1572194 0.216004 0.2753603 0.1993760 1.0754979 0.1651898
## 309 -0.5446528 0.987447 -0.4895295 1.5110606 -0.8314133 0.8534807
## 166 -1.2465249 0.987447 -1.2544193 1.5110606 -0.8314133 0.8534807
## 217 0.1572194 0.216004 0.2753603 0.1993760 1.0754979 -0.5231010
## 581 -0.5446528 0.987447 -0.4895295 1.5110606 -0.8314133 1.5417715
## 72 -0.5446528 1.758890 -0.4895295 0.8552183 -0.8314133 0.8534807
## 588 -1.2465249 0.216004 -1.2544193 0.8552183 -0.8314133 0.8534807
## 141 -0.5446528 1.758890 0.2753603 0.1993760 -0.8314133 -1.8996827
## 722 -1.2465249 0.216004 -1.2544193 1.5110606 -0.8314133 1.5417715
## 859 -1.2465249 0.216004 -2.0193090 -0.4564662 -1.7848689 -0.5231010
## 153 0.1572194 -0.555439 0.2753603 0.1993760 1.0754979 0.1651898
## 294 0.1572194 -1.326882 -0.4895295 0.1993760 -1.7848689 -1.8996827
## 277 -1.2465249 0.987447 -0.4895295 0.8552183 -0.8314133 0.8534807
## 41 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 431 1.5609636 -1.326882 0.2753603 -1.7681507 -1.7848689 -1.2113919
## 90 -1.2465249 0.987447 -1.2544193 1.5110606 -0.8314133 1.5417715
## 316 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 528 -1.2465249 0.987447 -1.2544193 1.5110606 -0.8314133 1.5417715
## 774 -1.2465249 1.758890 -0.4895295 1.5110606 -0.8314133 0.8534807
## 747 -0.5446528 -0.555439 0.2753603 -0.4564662 1.0754979 0.1651898
## 456 -0.5446528 -1.326882 -0.4895295 1.5110606 -0.8314133 -0.5231010
## 598 -0.5446528 1.758890 -1.2544193 0.1993760 -0.8314133 1.5417715
## 752 0.8590915 -0.555439 -2.0193090 0.8552183 -1.7848689 1.5417715
## 374 0.1572194 0.216004 0.2753603 -0.4564662 1.0754979 -0.5231010
## 34 0.1572194 0.216004 -0.4895295 -0.4564662 0.1220423 0.1651898
## 516 -0.5446528 -0.555439 -0.4895295 0.1993760 1.0754979 -0.5231010
## 13 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 69 -0.5446528 0.216004 -0.4895295 -0.4564662 1.0754979 -0.5231010
## 755 -0.5446528 0.216004 -0.4895295 0.8552183 -0.8314133 0.8534807
## 409 1.5609636 -0.555439 -0.4895295 -1.1123085 -0.8314133 -1.8996827
## 928 0.1572194 0.216004 -0.4895295 -0.4564662 0.1220423 -0.5231010
## 1006 1.5609636 1.758890 -0.4895295 -1.7681507 -0.8314133 0.1651898
## 537 -0.5446528 -0.555439 -0.4895295 -0.4564662 1.0754979 0.1651898
## 983 -1.2465249 1.758890 -0.4895295 0.8552183 -0.8314133 1.5417715
## 291 -1.2465249 0.987447 0.2753603 -0.4564662 -0.8314133 -1.2113919
## 671 0.1572194 0.216004 0.2753603 0.1993760 1.0754979 0.1651898
## 121 1.5609636 -1.326882 1.0402501 -1.1123085 1.0754979 -0.5231010
## 480 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 67 -0.5446528 0.987447 -0.4895295 1.5110606 -0.8314133 1.5417715
## 1014 1.5609636 -1.326882 1.0402501 0.8552183 -1.7848689 0.1651898
## 165 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 236 -1.2465249 1.758890 -1.2544193 1.5110606 -0.8314133 1.5417715
## 610 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 330 -0.5446528 -0.555439 0.2753603 -0.4564662 0.1220423 -0.5231010
## 726 0.1572194 0.216004 0.2753603 -0.4564662 0.1220423 0.1651898
## 127 0.1572194 -0.555439 0.2753603 0.1993760 0.1220423 0.1651898
## 212 -1.2465249 1.758890 1.0402501 0.1993760 -0.8314133 -0.5231010
## 686 0.8590915 -0.555439 1.8051399 -1.1123085 1.0754979 -1.2113919
## 785 -1.9483970 1.758890 -0.4895295 0.1993760 -0.8314133 0.8534807
## 958 -1.2465249 0.216004 -0.4895295 1.5110606 -0.8314133 1.5417715
## 814 0.8590915 -0.555439 1.8051399 -1.1123085 1.0754979 -1.2113919
## 310 -0.5446528 0.216004 0.2753603 0.1993760 1.0754979 0.1651898
## 931 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -0.5231010
## 744 0.1572194 0.987447 0.2753603 -1.1123085 -0.8314133 -1.8996827
## 878 0.8590915 -1.326882 1.0402501 -1.1123085 1.0754979 -1.2113919
## 243 0.1572194 0.216004 -0.4895295 -0.4564662 1.0754979 0.1651898
## 862 -1.9483970 0.216004 -1.2544193 -1.1123085 -1.7848689 -1.2113919
## 847 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 792 -1.2465249 1.758890 -0.4895295 -0.4564662 -1.7848689 -0.5231010
## 113 0.8590915 -1.326882 1.8051399 -1.1123085 1.0754979 -0.5231010
## 1094 1.5609636 -1.326882 1.0402501 -1.1123085 1.0754979 -1.2113919
## 619 -0.5446528 -0.555439 0.2753603 -0.4564662 0.1220423 -0.5231010
## 903 -0.5446528 1.758890 -2.0193090 1.5110606 -1.7848689 -0.5231010
## 477 -1.9483970 0.987447 -1.2544193 0.8552183 -1.7848689 -1.2113919
## 975 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 151 1.5609636 -0.555439 1.8051399 -1.1123085 1.0754979 -0.5231010
## 666 -0.5446528 0.216004 0.2753603 0.1993760 0.1220423 -0.5231010
## 614 1.5609636 -0.555439 1.8051399 -1.1123085 1.0754979 -1.2113919
## 767 1.5609636 -1.326882 1.0402501 -1.1123085 1.0754979 -1.2113919
## 160 0.8590915 -1.326882 1.0402501 -1.1123085 1.0754979 -0.5231010
## 391 -0.5446528 -0.555439 -0.4895295 -0.4564662 1.0754979 0.1651898
## 155 -0.5446528 0.216004 -1.2544193 0.8552183 -0.8314133 0.8534807
## 426 1.5609636 -0.555439 1.8051399 -1.1123085 1.0754979 -0.5231010
## 5 0.8590915 0.216004 -1.2544193 -0.4564662 -0.8314133 1.5417715
## 326 0.1572194 -0.555439 -0.4895295 -0.4564662 0.1220423 0.1651898
## 784 0.8590915 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 280 -0.5446528 0.216004 -0.4895295 0.1993760 1.0754979 -0.5231010
## 800 -0.5446528 0.987447 -0.4895295 0.8552183 -0.8314133 0.8534807
## 789 0.1572194 -0.555439 -0.4895295 -0.4564662 0.1220423 0.1651898
## 567 0.8590915 -1.326882 1.8051399 -1.1123085 1.0754979 -0.5231010
## 843 0.1572194 -0.555439 0.2753603 0.1993760 1.0754979 -0.5231010
## 1082 -1.2465249 0.216004 -1.2544193 1.5110606 -0.8314133 0.8534807
## 238 -0.5446528 0.216004 0.2753603 0.1993760 1.0754979 0.1651898
## 764 -0.5446528 -0.555439 0.2753603 -0.4564662 1.0754979 -0.5231010
## 339 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -0.5231010
## 985 1.5609636 1.758890 -1.2544193 0.1993760 -0.8314133 1.5417715
## 39 -1.2465249 0.987447 -1.2544193 0.8552183 -0.8314133 1.5417715
## 822 -0.5446528 0.987447 -0.4895295 -1.7681507 -1.7848689 1.5417715
## 137 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -0.5231010
## 455 0.8590915 0.216004 -1.2544193 -1.7681507 -0.8314133 -1.8996827
## 738 -0.5446528 1.758890 -0.4895295 1.5110606 -0.8314133 0.8534807
## 560 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 589 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 83 -1.2465249 0.987447 -0.4895295 1.5110606 -0.8314133 0.8534807
## 696 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 879 0.1572194 -0.555439 0.2753603 0.1993760 0.1220423 -0.5231010
## 986 -1.2465249 0.987447 -1.2544193 0.8552183 -0.8314133 0.8534807
## 196 -0.5446528 1.758890 -1.2544193 0.8552183 -0.8314133 1.5417715
## 769 1.5609636 1.758890 -0.4895295 -1.7681507 -0.8314133 -0.5231010
## 680 0.1572194 0.216004 -0.4895295 0.1993760 1.0754979 0.1651898
## 286 -0.5446528 -0.555439 -1.2544193 0.1993760 -0.8314133 1.5417715
## 606 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 500 -1.2465249 0.987447 -0.4895295 0.8552183 -0.8314133 1.5417715
## 996 -0.5446528 -0.555439 -0.4895295 0.1993760 0.1220423 -0.5231010
## 344 -0.5446528 1.758890 -1.2544193 1.5110606 -0.8314133 1.5417715
## 1020 -0.5446528 1.758890 -0.4895295 1.5110606 -0.8314133 0.8534807
## 459 -0.5446528 -0.555439 -0.4895295 0.1993760 1.0754979 0.1651898
## 944 -1.2465249 0.987447 -0.4895295 0.8552183 -0.8314133 1.5417715
## 20 -1.2465249 1.758890 -0.4895295 1.5110606 -0.8314133 0.8534807
## 872 0.1572194 0.216004 -0.4895295 -0.4564662 0.1220423 0.1651898
## 1096 -0.5446528 -0.555439 -0.4895295 0.1993760 1.0754979 -0.5231010
## 861 0.1572194 0.216004 -0.4895295 -0.4564662 0.1220423 -0.5231010
## 164 -0.5446528 -0.555439 0.2753603 -0.4564662 0.1220423 -0.5231010
## 52 -0.5446528 -0.555439 0.2753603 0.1993760 0.1220423 0.1651898
## 876 -0.5446528 0.216004 0.2753603 0.1993760 1.0754979 -0.5231010
## 534 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 177 -1.2465249 0.987447 -0.4895295 0.8552183 -0.8314133 0.8534807
## 554 -0.5446528 0.216004 0.2753603 -0.4564662 0.1220423 0.1651898
## 827 0.1572194 0.987447 -0.4895295 1.5110606 -0.8314133 -1.2113919
## 84 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 523 -0.5446528 -0.555439 0.2753603 0.1993760 0.1220423 0.1651898
## 633 -0.5446528 -2.098325 1.0402501 1.5110606 -1.7848689 1.5417715
## 392 -1.2465249 0.216004 -1.2544193 0.8552183 -0.8314133 1.5417715
## 302 -0.5446528 0.216004 -0.4895295 -0.4564662 0.1220423 0.1651898
## 597 -0.5446528 0.987447 -1.2544193 1.5110606 -0.8314133 1.5417715
## 877 -0.5446528 0.216004 0.2753603 -0.4564662 0.1220423 0.1651898
## 706 1.5609636 -0.555439 1.8051399 -1.1123085 1.0754979 -1.2113919
## 1010 -0.5446528 0.216004 -0.4895295 1.5110606 -0.8314133 0.8534807
## 979 1.5609636 1.758890 0.2753603 -0.4564662 -1.7848689 0.1651898
## 430 -0.5446528 0.987447 -0.4895295 1.5110606 -0.8314133 1.5417715
## 710 -0.5446528 0.987447 -0.4895295 0.8552183 -0.8314133 0.8534807
## 761 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 712 -0.5446528 1.758890 -0.4895295 1.5110606 -0.8314133 1.5417715
## 428 0.1572194 -0.555439 -0.4895295 0.1993760 1.0754979 -0.5231010
## 672 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 250 0.8590915 -1.326882 1.0402501 -1.1123085 1.0754979 -0.5231010
## 804 0.1572194 0.216004 0.2753603 -0.4564662 0.1220423 0.1651898
## 429 0.8590915 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 398 0.8590915 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 1054 1.5609636 -0.555439 -2.0193090 -0.4564662 -1.7848689 0.8534807
## 381 0.1572194 0.216004 -0.4895295 -0.4564662 0.1220423 -0.5231010
## 545 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 40 1.5609636 -1.326882 1.0402501 -1.1123085 1.0754979 -1.2113919
## 522 0.1572194 1.758890 -2.0193090 0.1993760 -1.7848689 -1.8996827
## 473 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 200 0.1572194 -1.326882 -0.4895295 1.5110606 -0.8314133 1.5417715
## 125 -0.5446528 -0.555439 0.2753603 0.1993760 0.1220423 -0.5231010
## 265 0.1572194 -0.555439 -0.4895295 0.1993760 1.0754979 -0.5231010
## 775 0.8590915 -1.326882 1.0402501 -1.1123085 1.0754979 -0.5231010
## 1009 0.1572194 -0.555439 0.2753603 0.1993760 1.0754979 0.1651898
## 186 -1.2465249 0.987447 -0.4895295 0.8552183 -0.8314133 0.8534807
## 573 -1.2465249 0.987447 -0.4895295 0.8552183 -0.8314133 0.8534807
## 252 0.1572194 0.216004 0.2753603 -0.4564662 1.0754979 0.1651898
## 458 -1.2465249 -0.555439 -1.2544193 1.5110606 -0.8314133 -1.2113919
## 152 -0.5446528 0.216004 0.2753603 0.1993760 1.0754979 0.1651898
## 831 0.8590915 -0.555439 1.8051399 -1.1123085 1.0754979 -0.5231010
## 54 -0.5446528 0.216004 -0.4895295 0.8552183 -0.8314133 0.8534807
## 538 -1.2465249 1.758890 -0.4895295 0.8552183 -0.8314133 1.5417715
## 235 -0.5446528 0.216004 -0.4895295 0.8552183 -0.8314133 1.5417715
## 289 -1.2465249 0.216004 -0.4895295 1.5110606 -0.8314133 1.5417715
## 185 0.1572194 -0.555439 -0.4895295 0.8552183 -1.7848689 -0.5231010
## 765 -0.5446528 -0.555439 0.2753603 -0.4564662 0.1220423 0.1651898
## 413 -0.5446528 -0.555439 0.2753603 -0.4564662 1.0754979 0.1651898
## 627 -0.5446528 -0.555439 0.2753603 -0.4564662 0.1220423 -0.5231010
## 1041 -0.5446528 1.758890 1.0402501 -0.4564662 -0.8314133 0.1651898
## 1070 0.1572194 -0.555439 0.2753603 -0.4564662 0.1220423 0.1651898
## 915 -0.5446528 0.216004 -0.4895295 -0.4564662 1.0754979 -0.5231010
## 205 -0.5446528 -2.098325 0.2753603 1.5110606 -0.8314133 1.5417715
## 875 1.5609636 -1.326882 1.0402501 -1.1123085 1.0754979 -1.2113919
## 779 -1.2465249 1.758890 -0.4895295 1.5110606 -0.8314133 1.5417715
## 1039 -0.5446528 -0.555439 -0.4895295 -0.4564662 0.1220423 0.1651898
## 564 -0.5446528 1.758890 -1.2544193 0.8552183 -0.8314133 0.8534807
## 794 -0.5446528 -0.555439 0.2753603 -0.4564662 0.1220423 0.1651898
## 1001 0.1572194 -0.555439 -0.4895295 0.1993760 1.0754979 0.1651898
## 1042 -0.5446528 1.758890 -1.2544193 0.8552183 -0.8314133 1.5417715
## 727 -0.5446528 0.216004 -1.2544193 1.5110606 -0.8314133 0.8534807
## 346 -0.5446528 1.758890 -1.2544193 1.5110606 -0.8314133 0.8534807
## 1002 -0.5446528 -0.555439 -0.4895295 0.1993760 0.1220423 -0.5231010
## 468 -0.5446528 0.987447 -1.2544193 1.5110606 -0.8314133 0.8534807
## 509 -1.2465249 0.216004 -0.4895295 0.8552183 -0.8314133 1.5417715
## 57 0.1572194 -0.555439 -0.4895295 -0.4564662 1.0754979 -0.5231010
## 457 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 617 -1.2465249 1.758890 -1.2544193 0.8552183 -0.8314133 1.5417715
## 357 0.8590915 -1.326882 1.0402501 -1.1123085 1.0754979 -1.2113919
## 279 1.5609636 -1.326882 0.2753603 1.5110606 -1.7848689 -0.5231010
## 270 1.5609636 -0.555439 1.8051399 -1.1123085 1.0754979 -0.5231010
## 1087 -0.5446528 0.987447 -1.2544193 0.8552183 -0.8314133 -0.5231010
## 646 -0.5446528 -0.555439 0.2753603 0.1993760 1.0754979 -0.5231010
## 347 -1.2465249 0.216004 -1.2544193 0.8552183 -0.8314133 1.5417715
## 129 0.1572194 1.758890 1.0402501 -0.4564662 -0.8314133 -1.2113919
## 218 0.1572194 -0.555439 -0.4895295 -0.4564662 0.1220423 0.1651898
## 618 0.1572194 0.216004 0.2753603 -0.4564662 0.1220423 0.1651898
## 698 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 337 -0.5446528 -0.555439 -0.4895295 -0.4564662 1.0754979 0.1651898
## 797 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 1085 0.8590915 0.987447 0.2753603 -1.7681507 -1.7848689 -1.8996827
## 539 -0.5446528 0.987447 -0.4895295 1.5110606 -0.8314133 1.5417715
## 1084 -1.2465249 0.987447 -0.4895295 1.5110606 -0.8314133 1.5417715
## 757 -0.5446528 0.216004 -0.4895295 -0.4564662 1.0754979 0.1651898
## 1005 0.8590915 -1.326882 1.0402501 -1.1123085 1.0754979 -0.5231010
## 553 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 724 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 390 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 498 1.5609636 -1.326882 1.0402501 -1.1123085 1.0754979 -1.2113919
## 222 0.1572194 -0.555439 0.2753603 -0.4564662 1.0754979 0.1651898
## 1036 -1.9483970 -1.326882 1.0402501 -1.7681507 -0.8314133 -1.2113919
## 960 0.8590915 -0.555439 1.0402501 -1.1123085 1.0754979 -0.5231010
## 657 -1.2465249 0.216004 -1.2544193 0.8552183 -0.8314133 0.8534807
## 421 -0.5446528 0.987447 1.0402501 -1.7681507 -0.8314133 -0.5231010
## 891 -1.2465249 0.216004 -0.4895295 1.5110606 -0.8314133 0.8534807
## 660 0.1572194 -0.555439 0.2753603 -0.4564662 1.0754979 -0.5231010
## 163 -0.5446528 0.216004 -1.2544193 0.8552183 -0.8314133 1.5417715
## 989 -0.5446528 1.758890 -0.4895295 1.5110606 -0.8314133 1.5417715
## 673 1.5609636 -0.555439 1.0402501 -1.1123085 1.0754979 -1.2113919
## 578 -0.5446528 -0.555439 1.0402501 -0.4564662 -1.7848689 0.1651898
## 1046 -0.5446528 0.216004 -0.4895295 0.1993760 0.1220423 -0.5231010
## 1028 -0.5446528 0.216004 -0.4895295 0.1993760 0.1220423 -0.5231010
## 225 1.5609636 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## 389 -1.2465249 1.758890 -1.2544193 1.5110606 -0.8314133 1.5417715
## 117 -0.5446528 0.216004 -0.4895295 0.1993760 0.1220423 0.1651898
## 901 0.8590915 -1.326882 1.8051399 -1.1123085 1.0754979 -1.2113919
## X19 X20
## 415 -0.5674900 0.2504721
## 463 -0.5674900 -0.4376381
## 179 0.8371883 0.9385823
## 526 -0.5674900 0.2504721
## 195 -1.9721684 0.9385823
## 938 0.8371883 1.6266925
## 1038 0.8371883 -1.8138585
## 665 -1.2698292 -1.1257483
## 602 1.5395274 1.6266925
## 709 0.8371883 1.6266925
## 1011 0.1348491 0.2504721
## 953 1.5395274 1.6266925
## 348 1.5395274 0.9385823
## 1017 -0.5674900 -1.1257483
## 840 -0.5674900 -0.4376381
## 26 -1.2698292 -1.1257483
## 519 1.5395274 1.6266925
## 211 -0.5674900 -0.4376381
## 932 1.5395274 1.6266925
## 593 1.5395274 1.6266925
## 555 0.1348491 -1.8138585
## 373 0.1348491 -1.8138585
## 844 -0.5674900 -1.1257483
## 544 -0.5674900 -1.1257483
## 490 0.1348491 -0.4376381
## 905 1.5395274 0.9385823
## 937 -0.5674900 -1.1257483
## 1047 -0.5674900 -0.4376381
## 923 0.8371883 0.9385823
## 956 -0.5674900 -0.4376381
## 309 0.8371883 1.6266925
## 166 1.5395274 0.9385823
## 217 -0.5674900 0.2504721
## 581 1.5395274 1.6266925
## 72 0.8371883 0.9385823
## 588 0.8371883 0.9385823
## 141 -0.5674900 -0.4376381
## 722 1.5395274 1.6266925
## 859 -0.5674900 1.6266925
## 153 0.1348491 0.2504721
## 294 0.8371883 0.2504721
## 277 1.5395274 0.9385823
## 41 -0.5674900 -1.1257483
## 431 -1.9721684 -1.1257483
## 90 0.8371883 0.9385823
## 316 -1.2698292 -1.1257483
## 528 1.5395274 1.6266925
## 774 0.8371883 1.6266925
## 747 0.1348491 0.2504721
## 456 0.8371883 0.9385823
## 598 -1.9721684 -0.4376381
## 752 0.1348491 1.6266925
## 374 0.1348491 0.2504721
## 34 -0.5674900 0.2504721
## 516 0.1348491 -0.4376381
## 13 -1.2698292 -1.1257483
## 69 -0.5674900 0.2504721
## 755 0.8371883 0.9385823
## 409 1.5395274 0.2504721
## 928 0.1348491 -0.4376381
## 1006 0.8371883 0.9385823
## 537 0.1348491 0.2504721
## 983 1.5395274 0.9385823
## 291 1.5395274 0.2504721
## 671 -0.5674900 0.2504721
## 121 -0.5674900 -1.1257483
## 480 -1.2698292 -1.1257483
## 67 0.8371883 1.6266925
## 1014 0.8371883 -0.4376381
## 165 -0.5674900 -1.1257483
## 236 1.5395274 1.6266925
## 610 -1.2698292 -1.1257483
## 330 -0.5674900 -0.4376381
## 726 0.1348491 0.2504721
## 127 0.1348491 -0.4376381
## 212 -0.5674900 0.2504721
## 686 -0.5674900 -1.1257483
## 785 -1.9721684 -1.1257483
## 958 1.5395274 0.9385823
## 814 -0.5674900 -1.1257483
## 310 -0.5674900 0.2504721
## 931 -1.2698292 -1.1257483
## 744 0.8371883 0.2504721
## 878 -0.5674900 -1.1257483
## 243 -0.5674900 -0.4376381
## 862 0.8371883 -1.1257483
## 847 -1.2698292 -1.1257483
## 792 1.5395274 -0.4376381
## 113 -1.2698292 -1.1257483
## 1094 -1.2698292 -1.1257483
## 619 -0.5674900 -0.4376381
## 903 -0.5674900 -1.1257483
## 477 0.8371883 0.2504721
## 975 -0.5674900 -1.1257483
## 151 -0.5674900 -1.1257483
## 666 0.1348491 0.2504721
## 614 -0.5674900 -1.1257483
## 767 -0.5674900 -1.1257483
## 160 -0.5674900 -1.1257483
## 391 0.1348491 -0.4376381
## 155 0.8371883 0.9385823
## 426 -0.5674900 -1.1257483
## 5 -1.9721684 1.6266925
## 326 0.1348491 0.2504721
## 784 -1.2698292 -1.1257483
## 280 -0.5674900 -0.4376381
## 800 1.5395274 0.9385823
## 789 -0.5674900 0.2504721
## 567 -0.5674900 -1.1257483
## 843 0.1348491 0.2504721
## 1082 0.8371883 1.6266925
## 238 0.1348491 0.2504721
## 764 -0.5674900 -0.4376381
## 339 -1.2698292 -1.1257483
## 985 0.8371883 -1.8138585
## 39 0.8371883 0.9385823
## 822 -1.9721684 1.6266925
## 137 -1.2698292 -1.1257483
## 455 0.1348491 0.2504721
## 738 1.5395274 0.9385823
## 560 -1.2698292 -1.1257483
## 589 -1.2698292 -1.1257483
## 83 1.5395274 1.6266925
## 696 -1.2698292 -1.1257483
## 879 0.1348491 -0.4376381
## 986 0.8371883 1.6266925
## 196 1.5395274 0.9385823
## 769 1.5395274 -1.8138585
## 680 0.1348491 -0.4376381
## 286 1.5395274 1.6266925
## 606 -0.5674900 -1.1257483
## 500 1.5395274 0.9385823
## 996 0.1348491 0.2504721
## 344 0.8371883 0.9385823
## 1020 0.8371883 0.9385823
## 459 -0.5674900 0.2504721
## 944 1.5395274 0.9385823
## 20 0.8371883 1.6266925
## 872 -0.5674900 0.2504721
## 1096 0.1348491 0.2504721
## 861 0.1348491 -0.4376381
## 164 -0.5674900 0.2504721
## 52 0.1348491 0.2504721
## 876 0.1348491 -0.4376381
## 534 -1.2698292 -1.1257483
## 177 0.8371883 0.9385823
## 554 0.1348491 0.2504721
## 827 -1.2698292 -0.4376381
## 84 -0.5674900 -1.1257483
## 523 -0.5674900 -0.4376381
## 633 -1.9721684 -0.4376381
## 392 0.8371883 0.9385823
## 302 0.1348491 0.2504721
## 597 1.5395274 0.9385823
## 877 0.1348491 0.2504721
## 706 -1.2698292 -1.1257483
## 1010 0.8371883 0.9385823
## 979 -1.2698292 -1.1257483
## 430 0.8371883 0.9385823
## 710 1.5395274 0.9385823
## 761 -1.2698292 -1.1257483
## 712 0.8371883 1.6266925
## 428 -0.5674900 0.2504721
## 672 -0.5674900 -1.1257483
## 250 -1.2698292 -1.1257483
## 804 -0.5674900 0.2504721
## 429 -1.2698292 -1.1257483
## 398 -1.2698292 -1.1257483
## 1054 0.1348491 1.6266925
## 381 -0.5674900 0.2504721
## 545 -1.2698292 -1.1257483
## 40 -1.2698292 -1.1257483
## 522 -1.9721684 1.6266925
## 473 -1.2698292 -1.1257483
## 200 -0.5674900 0.2504721
## 125 0.1348491 0.2504721
## 265 0.1348491 0.2504721
## 775 -0.5674900 -1.1257483
## 1009 -0.5674900 0.2504721
## 186 1.5395274 1.6266925
## 573 1.5395274 0.9385823
## 252 0.1348491 -0.4376381
## 458 -1.2698292 -1.8138585
## 152 0.1348491 -0.4376381
## 831 -1.2698292 -1.1257483
## 54 1.5395274 1.6266925
## 538 0.8371883 0.9385823
## 235 1.5395274 0.9385823
## 289 1.5395274 1.6266925
## 185 0.8371883 0.2504721
## 765 0.1348491 -0.4376381
## 413 -0.5674900 0.2504721
## 627 -0.5674900 -0.4376381
## 1041 -0.5674900 0.2504721
## 1070 0.1348491 -0.4376381
## 915 0.1348491 -0.4376381
## 205 -1.9721684 -1.8138585
## 875 -1.2698292 -1.1257483
## 779 0.8371883 0.9385823
## 1039 -0.5674900 0.2504721
## 564 0.8371883 0.9385823
## 794 -0.5674900 -0.4376381
## 1001 -0.5674900 -0.4376381
## 1042 0.8371883 1.6266925
## 727 0.8371883 0.9385823
## 346 1.5395274 0.9385823
## 1002 0.1348491 0.2504721
## 468 0.8371883 0.9385823
## 509 0.8371883 0.9385823
## 57 0.1348491 -0.4376381
## 457 -1.2698292 -1.1257483
## 617 1.5395274 0.9385823
## 357 -1.2698292 -1.1257483
## 279 -0.5674900 -1.1257483
## 270 -0.5674900 -1.1257483
## 1087 1.5395274 -1.1257483
## 646 -0.5674900 -0.4376381
## 347 0.8371883 0.9385823
## 129 0.1348491 -0.4376381
## 218 0.1348491 0.2504721
## 618 0.1348491 0.2504721
## 698 -1.2698292 -1.1257483
## 337 0.1348491 -0.4376381
## 797 -1.2698292 -1.1257483
## 1085 0.1348491 -0.4376381
## 539 0.8371883 0.9385823
## 1084 1.5395274 1.6266925
## 757 0.1348491 -0.4376381
## 1005 -1.2698292 -1.1257483
## 553 -0.5674900 -1.1257483
## 724 -0.5674900 -1.1257483
## 390 -0.5674900 -1.1257483
## 498 -0.5674900 -1.1257483
## 222 0.1348491 0.2504721
## 1036 -0.5674900 -0.4376381
## 960 -1.2698292 -1.1257483
## 657 1.5395274 0.9385823
## 421 1.5395274 -0.4376381
## 891 0.8371883 1.6266925
## 660 -0.5674900 0.2504721
## 163 0.8371883 1.6266925
## 989 1.5395274 0.9385823
## 673 -1.2698292 -1.1257483
## 578 -1.2698292 0.2504721
## 1046 0.1348491 -0.4376381
## 1028 -0.5674900 0.2504721
## 225 -0.5674900 -1.1257483
## 389 1.5395274 0.9385823
## 117 0.1348491 0.2504721
## 901 -1.2698292 -1.1257483
## attr(,"scaled:center")
## X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11
## 11.100 17.716 0.512 13.164 2.624 2.152 2.644 2.768 2.760 2.492 2.688
## X12 X13 X14 X15 X16 X17 X18 X19 X20
## 2.712 2.776 2.720 2.640 2.696 1.872 2.760 2.808 2.636
## attr(,"scaled:scale")
## X1 X2 X3 X4 X5 X6 X7 X8
## 6.2467662 8.8614584 0.5008587 7.7971975 1.3748399 0.8554667 1.5094295 1.4651836
## X9 X10 X11 X12 X13 X14 X15 X16
## 1.3073779 1.0985277 1.3166588 1.4301178 1.4247610 1.2962721 1.3073779 1.5247569
## X17 X18 X19 X20
## 1.0488165 1.4528742 1.4238135 1.4532556Uji Asumsi
korelasi
library(corrplot)## corrplot 0.95 loadedpar(mar = c(1,1,1,1)) # kecilkan margin
corrplot(cor(data_250),
method = "circle",
order = "hclust",
tl.cex = 0.5)
bartlett
library(psych)##
## Attaching package: 'psych'## The following objects are masked from 'package:ggplot2':
##
## %+%, alphacortest.bartlett(cor(X_scaled), n = 250)## $chisq
## [1] 3986.386
##
## $p.value
## [1] 0
##
## $df
## [1] 190kmo
KMO(X_scaled)## Kaiser-Meyer-Olkin factor adequacy
## Call: KMO(r = X_scaled)
## Overall MSA = 0.95
## MSA for each item =
## X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16
## 0.97 0.97 0.96 0.97 0.96 0.73 0.97 0.97 0.97 0.97 0.97 0.96 0.97 0.95 0.95 0.96
## X17 X18 X19 X20
## 0.86 0.94 0.97 0.96PCA
library(FactoMineR)
library(factoextra)## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBapca_model <- PCA(X_scaled, scale.unit = FALSE, graph = FALSE)eig_val <- get_eigenvalue(pca_model)
eig_val## eigenvalue variance.percent cumulative.variance.percent
## Dim.1 11.65063186 58.4871077 58.48711
## Dim.2 1.27715629 6.4114272 64.89853
## Dim.3 0.75695089 3.7999543 68.69849
## Dim.4 0.70318466 3.5300435 72.22853
## Dim.5 0.61031249 3.0638177 75.29235
## Dim.6 0.56283479 2.8254758 78.11783
## Dim.7 0.54369303 2.7293827 80.84721
## Dim.8 0.49228817 2.4713262 83.31854
## Dim.9 0.42231573 2.1200589 85.43859
## Dim.10 0.39721337 1.9940430 87.43264
## Dim.11 0.36248525 1.8197051 89.25234
## Dim.12 0.34770813 1.7455227 90.99786
## Dim.13 0.31078061 1.5601436 92.55801
## Dim.14 0.29434707 1.4776459 94.03565
## Dim.15 0.26582876 1.3344817 95.37014
## Dim.16 0.25074274 1.2587487 96.62888
## Dim.17 0.21152379 1.0618664 97.69075
## Dim.18 0.19204429 0.9640778 98.65483
## Dim.19 0.17324171 0.8696873 99.52452
## Dim.20 0.09471638 0.4754838 100.00000eigenvector <- pca_model$var$coord
eigenvector## Dim.1 Dim.2 Dim.3 Dim.4 Dim.5
## X1 0.8349545 -0.11965165 0.12603584 0.099125830 -0.019793163
## X2 -0.8250118 -0.14405367 0.06818248 -0.150328306 -0.050413903
## X3 0.7265927 -0.19729187 0.04029865 0.400131035 -0.122031670
## X4 0.8336207 0.14344334 0.11511356 -0.001001078 -0.084206704
## X5 0.7849158 0.02989356 -0.01200814 0.235113195 0.024177838
## X6 0.5028711 0.79267874 -0.07249728 -0.063385445 0.093564415
## X7 -0.8095180 0.19655141 -0.15644128 -0.008599454 -0.016847360
## X8 0.6388726 -0.27592786 0.07656685 -0.502361951 0.294923796
## X9 0.7520878 0.13714204 0.27907120 0.086957780 0.109858471
## X10 -0.6727612 0.12525814 0.40187572 0.176034176 0.336214453
## X11 -0.7779857 0.17269295 0.31825419 0.130170700 0.004386166
## X12 -0.7780286 0.11771483 0.18125952 -0.146491335 -0.199594054
## X13 -0.7864644 0.24061789 0.11409211 -0.083497005 0.137888372
## X14 0.6870952 0.17262784 0.32688324 -0.181729333 -0.458949329
## X15 -0.8061055 0.04732208 0.09802438 0.151299547 0.115754979
## X16 0.8544780 -0.02478127 -0.18235274 0.116270101 0.151817192
## X17 -0.7508327 -0.50460759 0.22218256 0.061661622 -0.049307758
## X18 0.7614366 -0.06194962 0.16723179 0.055016700 0.179013469
## X19 0.7698814 0.01405477 0.23995002 -0.077006286 -0.058325992
## X20 0.8257581 -0.10580293 0.12100159 -0.181098074 0.140902401Visualisasi
fviz_eig(pca_model, addlabels = TRUE)## Warning in geom_bar(stat = "identity", fill = barfill, color = barcolor, :
## Ignoring empty aesthetic: `width`.
fviz_pca_var(pca_model,
col.var = "contrib",
gradient.cols = c("blue", "orange", "red"),
repel = TRUE)
fviz_pca_ind(pca_model,
alpha.ind = 0.4,
pointsize = 1.5)
X <- X_scaledFA
fa.parallel(X, fa = "fa", n.iter = 100)
## Parallel analysis suggests that the number of factors = 2 and the number of components = NAfa_model <- fa(X,
nfactors = 4,
rotate = "varimax",
fm = "ml",
scores = "regression")
print(fa_model$loadings, cutoff = 0.3)##
## Loadings:
## ML2 ML4 ML3 ML1
## X1 0.536 0.609
## X2 -0.558 -0.458 -0.372
## X3 0.534 0.489
## X4 0.452 0.583 0.335
## X5 0.572 0.430
## X6 0.948
## X7 -0.494 -0.623
## X8 0.431 0.464
## X9 0.386 0.552 0.306
## X10 -0.523 -0.339
## X11 -0.607 -0.397
## X12 -0.612 -0.369 0.315
## X13 -0.584 -0.484
## X14 0.629
## X15 -0.538 -0.465 0.359
## X16 0.846 0.306 0.309
## X17 -0.352 -0.701 0.560
## X18 0.552 0.514
## X19 0.401 0.619
## X20 0.486 0.619
##
## ML2 ML4 ML3 ML1
## SS loadings 5.242 4.731 2.285 0.976
## Proportion Var 0.262 0.237 0.114 0.049
## Cumulative Var 0.262 0.499 0.613 0.662fa.diagram(fa_model)
factor_scores <- as.data.frame(fa_model$scores)
factor_scores## ML2 ML4 ML3 ML1
## 415 0.780820761 -0.138274346 -1.4976983747 0.45386208
## 463 0.659988844 -0.723261564 -1.1755605594 -1.15144889
## 179 0.432010718 -0.889376987 1.0415814510 -2.02092740
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