Segmentation of Partial Least Square Structural Equation Modeling Using Kernel K-Means Clustering (PLS SEM KKC) is the development of a new method in PLS SEM segmentation that uses non-linear clustering methods. Segmentation is carried out based on residual values of measurement and structural PLS SEM modeling which often exhibit non-linear separability and thus require a non-linear separable, thus requiring a non-linear PLS SEM segmentation. Main contribution of this study is the integration of kernel-based clustering into PLS SEM segmentation. Method effectively addresses unobserved heterogeneity by capturing non-linear residual patterns, leading to more accurate modelsSegmentation of Partial Least Square Structural Equation Modeling Using Kernel K-Means Clustering (PLS SEM KKC) is the development of a new method in PLS SEM segmentation that uses non-linear clustering methods. Segmentation is carried out based on residual values of measurement and structural PLS SEM modeling which often exhibit non-linear separability and thus require a non-linear separable, thus requiring a non-linear PLS SEM segmentation. Main contribution of this study is the integration of kernel-based clustering into PLS SEM segmentation. Method effectively addresses unobserved heterogeneity by capturing non-linear residual patterns, leading to more accurate models.
This package is an extension of the ResiPLS package, which develops SEMPLS analysis with segmentation using Kernel K-Means. If you are interested in this package, please contact me at (cindy.cahyaning@umsida.ac.id).
To run this package, you can do this:
library(SEMPLSKKC)Running SEMPLSKKC
inputdata=import_dari_excel(file_path = "DataSeminter.xlsx")
hasil=plsalgorithm(data = inputdata$Data,inner_weight_scheme = "Path",matrix_outer_model = inputdata$MOM, matrix_inner_model = inputdata$MIM, indicator = inputdata$Indikator, laten_variables = inputdata$Variabel)## Banyak Iterasi: 7
## Outer Weight
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] 0.4078256
## [2,] 0.3948863
## [3,] 0.3516330
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] 0.4682900
## [2,] 0.3154480
## [3,] 0.3689983
##
## Variabel Laten Social Influence
## [,1]
## [1,] 0.7372356
## [2,] 0.4142433
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] 0.3906090
## [2,] 0.4973840
## [3,] 0.3232516
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.3231985
## [2,] 0.3223177
## [3,] 0.2944332
## [4,] 0.1980679
##
## Skor Variabel Laten
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] -0.193634
## [2,] -0.193634
## [3,] -0.193634
## [4,] -0.621821
## [5,] -0.193634
## [6,] -0.193634
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] -0.63653562
## [2,] 1.29973203
## [3,] 0.61976369
## [4,] -0.63653562
## [5,] 0.04343272
## [6,] -0.63653562
##
## Variabel Laten Social Influence
## [,1]
## [1,] -2.0094775
## [2,] -1.6434825
## [3,] -0.3188389
## [4,] 0.1604853
## [5,] -0.6848340
## [6,] 0.1604853
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] -1.9626047
## [2,] -0.2291284
## [3,] -0.2291284
## [4,] -0.2291284
## [5,] 0.3041491
## [6,] -0.2291284
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] -2.54378552
## [2,] -2.54378552
## [3,] -0.44374851
## [4,] -0.03466219
## [5,] -0.44838802
## [6,] -0.03466219
##
## Koefisien Jalur:
## Variabel Laten Perfomance Expectancy
## NULL
##
## Variabel Laten Effort Expectancy
## NULL
##
## Variabel Laten Social Influence
## NULL
##
## Variabel Laten Facilitating Conditions
## NULL
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.17984759
## [2,] -0.05737437
## [3,] 0.21005121
## [4,] 0.50697975
##
## Outer Loading:
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] 0.8715220
## [2,] 0.8914727
## [3,] 0.8319485
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] 0.8868386
## [2,] 0.8781684
## [3,] 0.8338407
##
## Variabel Laten Social Influence
## [,1]
## [1,] 0.9304480
## [2,] 0.7581066
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] 0.8037971
## [2,] 0.9068410
## [3,] 0.7269303
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.9253825
## [2,] 0.8702525
## [3,] 0.9257141
## [4,] 0.7465068
##
## Matriks Residual Gabungan:
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -0.08791535 -0.1296811 0.2475975 0.2664125 0.04963479 -0.3805315
## [2,] -0.08791535 -0.1296811 0.2475975 0.1304387 -0.01545051 -0.1523294
## [3,] -0.08791535 -0.1296811 0.2475975 0.7334609 0.58167623 -1.4280850
## [4,] 0.28525906 0.2520359 -0.6138829 0.2664125 0.04963479 -0.3805315
## [5,] -0.08791535 -0.1296811 0.2475975 -0.3366097 -0.54749195 0.8952241
## [6,] -0.08791535 -0.1296811 0.2475975 0.2664125 0.04963479 -0.3805315
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -0.29818677 0.53068795 -1.1022605 0.3221855 0.8362000 -0.1498453
## [2,] 0.50788054 -0.90388342 0.1732348 0.1394588 -0.4239163 -0.1498453
## [3,] 0.42197524 -0.75099634 0.1732348 0.1394588 -0.4239163 -0.8274396
## [4,] -0.02401106 0.04273288 0.1732348 0.1394588 -0.4239163 0.0597423
## [5,] -0.38409207 0.68357502 -0.2554121 -0.3441392 0.8381570 0.4425970
## [6,] -0.02401106 0.04273288 0.1732348 0.1394588 -0.4239163 0.0597423
## [,13] [,14] [,15] [,16]
## [1,] 0.5135670 -0.51187444 0.1696938 -1.12838771
## [2,] 0.5135670 -0.51187444 0.1696938 -1.97301066
## [3,] 0.1230986 0.30880705 0.6908102 -0.19022938
## [4,] -0.2329097 -0.06988993 0.3854245 0.12310332
## [5,] 0.1271362 0.31310191 -1.3945346 -0.42141872
## [6,] -0.2329097 -0.06988993 0.3854245 0.04609492
##
## CR:
## Variabel Laten Perfomance Expectancy
## [1] 0.8993515
##
## Variabel Laten Effort Expectancy
## [1] 0.9004078
##
## Variabel Laten Social Influence
## [1] 0.8359482
##
## Variabel Laten Facilitating Conditions
## [1] 0.8555591
##
## Variabel Laten Behavioral Intention
## [1] 0.9252116
##
## AVE:
## Variabel Laten Perfomance Expectancy
## [1] 0.7488042
##
## Variabel Laten Effort Expectancy
## [1] 0.7509843
##
## Variabel Laten Social Influence
## [1] 0.7202296
##
## Variabel Laten Facilitating Conditions
## [1] 0.665626
##
## Variabel Laten Behavioral Intention
## [1] 0.7569728
##
## HTMT Matrix:
## Perfomance Expectancy Effort Expectancy
## Perfomance Expectancy NA 0.3737800
## Effort Expectancy 0.3737800 NA
## Social Influence 0.6172193 0.6160426
## Facilitating Conditions 0.4824333 0.7979404
## Behavioral Intention 0.5167693 0.4471064
## Social Influence Facilitating Conditions
## Perfomance Expectancy 0.6172193 0.4824333
## Effort Expectancy 0.6160426 0.7979404
## Social Influence NA 0.8150128
## Facilitating Conditions 0.8150128 NA
## Behavioral Intention 0.6839490 0.7799284
## Behavioral Intention
## Perfomance Expectancy 0.5167693
## Effort Expectancy 0.4471064
## Social Influence 0.6839490
## Facilitating Conditions 0.7799284
## Behavioral Intention NA
##
## R Square:
## Variabel Laten Perfomance Expectancy
## [1] NA
##
## Variabel Laten Effort Expectancy
## [1] NA
##
## Variabel Laten Social Influence
## [1] NA
##
## Variabel Laten Facilitating Conditions
## [1] NA
##
## Variabel Laten Behavioral Intention
## [1] 0.5115431resultbootstrap <- plsalgorithm_bootstrap(data = inputdata$Data,inner_weight_scheme = "Path",matrix_outer_model = inputdata$MOM, matrix_inner_model = inputdata$MIM, indicator = inputdata$Indikator, laten_variables = inputdata$Variabel, n_bootstrap=50)
print(resultbootstrap$path_coefficient)## [[1]]
## data frame with 0 columns and 0 rows
##
## [[2]]
## data frame with 0 columns and 0 rows
##
## [[3]]
## data frame with 0 columns and 0 rows
##
## [[4]]
## data frame with 0 columns and 0 rows
##
## [[5]]
## path_coefficient_original average_path_coefficient standar_error t_hitung
## 1 0.17984759 0.17615463 0.07175088 2.506556
## 2 -0.05737437 -0.06534582 0.04631795 -1.238707
## 3 0.21005121 0.22391786 0.06430909 3.266275
## 4 0.50697975 0.50925890 0.06911887 7.334896
## p_value
## 1 1.219138e-02
## 2 2.154541e-01
## 3 1.089722e-03
## 4 2.218226e-13dfmatrikserror <- as.data.frame(hasil$`Matrix Residual`)
print(dfmatrikserror)## V1 V2 V3 V4 V5 V6
## 1 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 2 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 3 -0.0879153518 -0.1296811 0.24759749 0.7334609 0.58167623 -1.428085049
## 4 0.2852590565 0.2520359 -0.61388293 0.2664125 0.04963479 -0.380531494
## 5 -0.0879153518 -0.1296811 0.24759749 -0.3366097 -0.54749195 0.895224107
## 6 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 7 -0.0879153518 -0.1296811 0.24759749 0.7238855 -1.13264849 0.049602765
## 8 0.7862811965 -0.6912885 -0.13561087 0.2664125 0.04963479 -0.380531494
## 9 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 10 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 11 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 12 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 13 0.2852590565 0.2520359 -0.61388293 0.2664125 0.04963479 -0.380531494
## 14 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 15 1.2464045608 -0.2900910 -1.11981171 0.1304387 -0.01545051 -0.152329448
## 16 -0.2157630834 1.1953603 -1.09215499 0.7238855 -1.13264849 0.049602765
## 17 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 18 -0.0879153518 -0.1296811 0.24759749 -0.7940828 0.63479133 0.465089848
## 19 0.8732301525 -0.6718081 -0.25833130 -0.1910606 1.23191807 -0.810665753
## 20 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 21 0.5000557442 -1.0535251 0.60314912 -0.7940828 0.63479133 0.465089848
## 22 1.1594556048 -0.3095714 -0.99709129 -0.3366097 -0.54749195 0.895224107
## 23 -0.6758864478 0.7941628 -0.10795414 0.2664125 0.04963479 -0.380531494
## 24 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 25 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 26 -0.5889374917 0.8136432 -0.23067457 0.1304387 -0.01545051 -0.152329448
## 27 -0.0879153518 -0.1296811 0.24759749 -0.3366097 -0.54749195 0.895224107
## 28 -0.0879153518 -0.1296811 0.24759749 -0.7940828 0.63479133 0.465089848
## 29 0.8732301525 -0.6718081 -0.25833130 -0.1910606 1.23191807 -0.810665753
## 30 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 31 0.5000557442 -1.0535251 0.60314912 -0.7940828 0.63479133 0.465089848
## 32 1.1594556048 -0.3095714 -0.99709129 -0.3366097 -0.54749195 0.895224107
## 33 -0.6758864478 0.7941628 -0.10795414 0.2664125 0.04963479 -0.380531494
## 34 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 35 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 36 -0.5889374917 0.8136432 -0.23067457 0.1304387 -0.01545051 -0.152329448
## 37 -0.0879153518 -0.1296811 0.24759749 -0.3366097 -0.54749195 0.895224107
## 38 -0.4610897601 -0.5113982 1.10907790 -0.3366097 -0.54749195 0.895224107
## 39 0.3722080126 0.2715163 -0.73660335 0.1304387 -0.01545051 -0.152329448
## 40 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 41 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 42 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 43 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 44 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 45 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 46 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 47 0.7453824209 0.6532333 -1.59808377 0.4023862 0.11472009 -0.608733539
## 48 0.7862811965 -0.6912885 -0.13561087 -0.6581090 0.69987663 0.236887802
## 49 0.2852590565 0.2520359 -0.61388293 -0.7940828 0.63479133 0.465089848
## 50 -0.0009663957 -0.1102008 0.12487706 -0.5221353 0.76496193 0.008685757
## 51 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 52 -0.1748643078 -0.1491615 0.37031791 0.7238855 -1.13264849 0.049602765
## 53 -0.0009663957 -0.1102008 0.12487706 0.2664125 0.04963479 -0.380531494
## 54 0.1983101005 0.2325555 -0.49116250 0.2664125 0.04963479 -0.380531494
## 55 0.6993322404 -0.7107689 -0.01289045 -0.3366097 -0.54749195 0.895224107
## 56 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 57 0.1574113249 1.5770773 -1.95363540 0.1304387 -0.01545051 -0.152329448
## 58 -2.8844029086 1.5161801 1.64266342 -1.2611312 0.10274989 1.512643403
## 59 -0.0009663957 -0.1102008 0.12487706 0.1208633 -1.72977523 1.325358366
## 60 -0.0879153518 -0.1296811 0.24759749 -1.5826306 1.35011847 0.854307099
## 61 -0.0879153518 -0.1296811 0.24759749 -0.3366097 -0.54749195 0.895224107
## 62 -0.1748643078 -0.1491615 0.37031791 0.2664125 0.04963479 -0.380531494
## 63 -0.0009663957 -0.1102008 0.12487706 -0.3366097 -0.54749195 0.895224107
## 64 0.2852590565 0.2520359 -0.61388293 0.2664125 0.04963479 -0.380531494
## 65 0.2852590565 0.2520359 -0.61388293 -0.3366097 -0.54749195 0.895224107
## 66 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 67 -0.0009663957 -0.1102008 0.12487706 0.2664125 0.04963479 -0.380531494
## 68 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 69 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 70 -1.0490608561 0.4124458 0.75352627 0.2664125 0.04963479 -0.380531494
## 71 -0.2157630834 1.1953603 -1.09215499 0.1304387 -0.01545051 -0.152329448
## 72 -0.0879153518 -0.1296811 0.24759749 -0.2006360 -0.48240665 0.667022061
## 73 0.4131067882 -1.0730055 0.72586955 0.2664125 0.04963479 -0.380531494
## 74 -0.0879153518 -0.1296811 0.24759749 -0.7940828 0.63479133 0.465089848
## 75 0.3722080126 0.2715163 -0.73660335 0.7334609 0.58167623 -1.428085049
## 76 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 77 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 78 0.2852590565 0.2520359 -0.61388293 -0.3366097 -0.54749195 0.895224107
## 79 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 80 0.7453824209 0.6532333 -1.59808377 0.4023862 0.11472009 -0.608733539
## 81 0.7862811965 -0.6912885 -0.13561087 -0.6581090 0.69987663 0.236887802
## 82 0.2852590565 0.2520359 -0.61388293 -0.7940828 0.63479133 0.465089848
## 83 -0.0009663957 -0.1102008 0.12487706 -0.5221353 0.76496193 0.008685757
## 84 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 85 -0.1748643078 -0.1491615 0.37031791 0.7238855 -1.13264849 0.049602765
## 86 -0.0009663957 -0.1102008 0.12487706 0.2664125 0.04963479 -0.380531494
## 87 0.1983101005 0.2325555 -0.49116250 0.2664125 0.04963479 -0.380531494
## 88 0.6993322404 -0.7107689 -0.01289045 -0.3366097 -0.54749195 0.895224107
## 89 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 90 0.1574113249 1.5770773 -1.95363540 0.1304387 -0.01545051 -0.152329448
## 91 -2.8844029086 1.5161801 1.64266342 -1.2611312 0.10274989 1.512643403
## 92 -0.0009663957 -0.1102008 0.12487706 0.1208633 -1.72977523 1.325358366
## 93 -0.0879153518 -0.1296811 0.24759749 -1.5826306 1.35011847 0.854307099
## 94 -0.0879153518 -0.1296811 0.24759749 -0.3366097 -0.54749195 0.895224107
## 95 -0.1748643078 -0.1491615 0.37031791 0.2664125 0.04963479 -0.380531494
## 96 -0.0009663957 -0.1102008 0.12487706 -0.3366097 -0.54749195 0.895224107
## 97 0.2852590565 0.2520359 -0.61388293 0.2664125 0.04963479 -0.380531494
## 98 0.2852590565 0.2520359 -0.61388293 -0.3366097 -0.54749195 0.895224107
## 99 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 100 -0.0009663957 -0.1102008 0.12487706 0.2664125 0.04963479 -0.380531494
## 101 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 102 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 103 -1.0490608561 0.4124458 0.75352627 0.2664125 0.04963479 -0.380531494
## 104 -0.2157630834 1.1953603 -1.09215499 0.1304387 -0.01545051 -0.152329448
## 105 -0.0879153518 -0.1296811 0.24759749 -0.2006360 -0.48240665 0.667022061
## 106 0.4131067882 -1.0730055 0.72586955 0.2664125 0.04963479 -0.380531494
## 107 -0.0879153518 -0.1296811 0.24759749 -0.7940828 0.63479133 0.465089848
## 108 0.3722080126 0.2715163 -0.73660335 0.7334609 0.58167623 -1.428085049
## 109 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 110 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 111 0.2852590565 0.2520359 -0.61388293 -0.3366097 -0.54749195 0.895224107
## 112 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 113 1.2464045608 -0.2900910 -1.11981171 0.5879118 -1.19773379 0.277804811
## 114 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 115 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 116 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
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## 316 -0.0879153518 -0.1296811 0.24759749 -0.7940828 0.63479133 0.465089848
## 317 0.8732301525 -0.6718081 -0.25833130 -0.1910606 1.23191807 -0.810665753
## 318 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 319 0.5000557442 -1.0535251 0.60314912 -0.7940828 0.63479133 0.465089848
## 320 1.1594556048 -0.3095714 -0.99709129 -0.3366097 -0.54749195 0.895224107
## 321 -0.6758864478 0.7941628 -0.10795414 0.2664125 0.04963479 -0.380531494
## 322 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 323 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 324 -0.5889374917 0.8136432 -0.23067457 0.1304387 -0.01545051 -0.152329448
## 325 -0.0879153518 -0.1296811 0.24759749 -0.3366097 -0.54749195 0.895224107
## 326 -0.4610897601 -0.5113982 1.10907790 -0.3366097 -0.54749195 0.895224107
## 327 0.3722080126 0.2715163 -0.73660335 0.1304387 -0.01545051 -0.152329448
## 328 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 329 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 330 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 331 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 332 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 333 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 334 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 335 0.7453824209 0.6532333 -1.59808377 0.4023862 0.11472009 -0.608733539
## 336 0.7862811965 -0.6912885 -0.13561087 -0.6581090 0.69987663 0.236887802
## 337 0.2852590565 0.2520359 -0.61388293 -0.7940828 0.63479133 0.465089848
## 338 -0.0009663957 -0.1102008 0.12487706 -0.5221353 0.76496193 0.008685757
## 339 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 340 -0.1748643078 -0.1491615 0.37031791 0.7238855 -1.13264849 0.049602765
## 341 -0.0009663957 -0.1102008 0.12487706 0.2664125 0.04963479 -0.380531494
## 342 0.1983101005 0.2325555 -0.49116250 0.2664125 0.04963479 -0.380531494
## 343 0.6993322404 -0.7107689 -0.01289045 -0.3366097 -0.54749195 0.895224107
## 344 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 345 0.1574113249 1.5770773 -1.95363540 0.1304387 -0.01545051 -0.152329448
## 346 -2.8844029086 1.5161801 1.64266342 -1.2611312 0.10274989 1.512643403
## 347 -0.0009663957 -0.1102008 0.12487706 0.1208633 -1.72977523 1.325358366
## 348 -0.0879153518 -0.1296811 0.24759749 -1.5826306 1.35011847 0.854307099
## 349 -0.0879153518 -0.1296811 0.24759749 -0.3366097 -0.54749195 0.895224107
## 350 -0.1748643078 -0.1491615 0.37031791 0.2664125 0.04963479 -0.380531494
## 351 -0.0009663957 -0.1102008 0.12487706 -0.3366097 -0.54749195 0.895224107
## 352 0.2852590565 0.2520359 -0.61388293 0.2664125 0.04963479 -0.380531494
## 353 0.2852590565 0.2520359 -0.61388293 -0.3366097 -0.54749195 0.895224107
## 354 -0.0009663957 -0.1102008 0.12487706 0.1304387 -0.01545051 -0.152329448
## 355 -0.0009663957 -0.1102008 0.12487706 0.2664125 0.04963479 -0.380531494
## 356 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 357 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 358 -1.0490608561 0.4124458 0.75352627 0.2664125 0.04963479 -0.380531494
## 359 -0.2157630834 1.1953603 -1.09215499 0.1304387 -0.01545051 -0.152329448
## 360 -0.0879153518 -0.1296811 0.24759749 -0.2006360 -0.48240665 0.667022061
## 361 0.4131067882 -1.0730055 0.72586955 0.2664125 0.04963479 -0.380531494
## 362 -0.0879153518 -0.1296811 0.24759749 -0.7940828 0.63479133 0.465089848
## 363 0.3722080126 0.2715163 -0.73660335 0.7334609 0.58167623 -1.428085049
## 364 -0.0879153518 -0.1296811 0.24759749 0.2664125 0.04963479 -0.380531494
## 365 -0.0879153518 -0.1296811 0.24759749 0.1304387 -0.01545051 -0.152329448
## 366 0.2852590565 0.2520359 -0.61388293 -0.3366097 -0.54749195 0.895224107
## V7 V8 V9 V10 V11 V12
## 1 -0.29818677 0.53068795 -1.102260497 0.32218546 0.83620002 -0.14984529
## 2 0.50788054 -0.90388342 0.173234821 0.13945876 -0.42391634 -0.14984529
## 3 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 -0.82743960
## 4 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 5 -0.38409207 0.68357502 -0.255412108 -0.34413917 0.83815696 0.44259695
## 6 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 7 -0.02401106 0.04273288 -0.742223133 0.61214066 -0.04501112 0.05974230
## 8 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 9 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 10 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 -0.04978287
## 11 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 12 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 0.14164446
## 13 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 14 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 15 0.33606995 -0.59810927 0.660045846 -0.81682107 0.45925174 -0.17746831
## 16 0.33606995 -0.59810927 1.088692775 -0.33322314 -0.80282156 0.57028239
## 17 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 18 -0.02401106 0.04273288 0.660045846 -0.81682107 0.45925174 0.44259695
## 19 -0.02401106 0.04273288 -0.255412108 -0.34413917 0.83815696 0.05974230
## 20 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 0.25116963
## 21 -0.46999736 0.83646210 -1.726290652 0.89117984 0.71475626 -0.68800840
## 22 -0.02401106 0.04273288 -1.170870062 0.12854274 1.21706218 0.36069480
## 23 0.06189423 -0.11015420 0.241844386 0.33310148 -0.80477850 0.16926748
## 24 0.06189423 -0.11015420 0.173234821 0.13945876 -0.42391634 -0.04978287
## 25 -0.02401106 0.04273288 0.728655411 -0.62317835 0.07838958 0.25116963
## 26 0.33606995 -0.59810927 -0.255412108 -0.34413917 0.83815696 0.76170972
## 27 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 28 -0.02401106 0.04273288 0.660045846 -0.81682107 0.45925174 0.44259695
## 29 -0.02401106 0.04273288 -0.255412108 -0.34413917 0.83815696 0.05974230
## 30 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 0.25116963
## 31 -0.46999736 0.83646210 -1.726290652 0.89117984 0.71475626 -0.68800840
## 32 -0.02401106 0.04273288 -1.170870062 0.12854274 1.21706218 0.36069480
## 33 0.06189423 -0.11015420 0.241844386 0.33310148 -0.80477850 0.16926748
## 34 0.06189423 -0.11015420 0.173234821 0.13945876 -0.42391634 -0.04978287
## 35 -0.02401106 0.04273288 0.728655411 -0.62317835 0.07838958 0.25116963
## 36 0.33606995 -0.59810927 -0.255412108 -0.34413917 0.83815696 0.76170972
## 37 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 38 0.78205625 -1.39183849 -0.255412108 -0.34413917 0.83815696 0.14164446
## 39 0.33606995 -0.59810927 0.104625256 -0.05418396 -0.04305418 0.14164446
## 40 -0.38409207 0.68357502 1.088692775 -0.33322314 -0.80282156 0.05974230
## 41 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 42 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 0.14164446
## 43 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 44 -0.10991635 0.19561995 -0.255412108 -0.34413917 0.83815696 0.05974230
## 45 -0.02401106 0.04273288 0.728655411 -0.62317835 0.07838958 0.25116963
## 46 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 -0.45079779
## 47 -0.65826778 1.17153009 1.157302340 -0.13958042 -1.18368372 0.16926748
## 48 -0.74417307 1.32441717 0.728655411 -0.62317835 0.07838958 -0.25937046
## 49 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.87123489
## 50 0.50788054 -0.90388342 -0.186802543 -0.15049644 0.45729480 0.05974230
## 51 0.86796154 -1.54472556 0.173234821 0.13945876 -0.42391634 -0.36889563
## 52 0.06189423 -0.11015420 0.241844386 0.33310148 -0.80477850 0.48838024
## 53 -0.38409207 0.68357502 1.225911906 0.05406231 -1.56454588 0.27879265
## 54 -0.29818677 0.53068795 0.008580683 -1.20308875 1.84081186 -0.52648710
## 55 0.50788054 -0.90388342 -0.255412108 -0.34413917 0.83815696 -0.09784916
## 56 0.86796154 -1.54472556 0.173234821 0.13945876 -0.42391634 0.05974230
## 57 -0.21228148 0.37780087 -0.382185769 0.90209587 -0.92622226 -0.93696477
## 58 -1.19015938 2.11814639 -0.975486836 -0.92404957 2.60057924 -0.96133788
## 59 -0.46999736 0.83646210 -0.382185769 0.90209587 -0.92622226 -0.04978287
## 60 -0.74417307 1.32441717 0.173234821 0.13945876 -0.42391634 -0.44458495
## 61 -0.38409207 0.68357502 0.173234821 0.13945876 -0.42391634 0.05974230
## 62 0.50788054 -0.90388342 -2.086328016 0.60122464 1.59596740 -0.63601227
## 63 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 64 0.86796154 -1.54472556 -0.742223133 0.61214066 -0.04501112 0.25116963
## 65 -0.02401106 0.04273288 -0.255412108 -0.34413917 0.83815696 0.33307178
## 66 -0.46999736 0.83646210 -0.255412108 -0.34413917 0.83815696 0.20538634
## 67 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.25116963
## 68 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 69 -0.10991635 0.19561995 0.173234821 0.13945876 -0.42391634 0.05974230
## 70 -0.38409207 0.68357502 -0.742223133 0.61214066 -0.04501112 0.55212212
## 71 0.33606995 -0.59810927 0.173234821 0.13945876 -0.42391634 0.05974230
## 72 -0.02401106 0.04273288 -0.742223133 0.61214066 -0.04501112 -0.36889563
## 73 0.50788054 -0.90388342 0.173234821 0.13945876 -0.42391634 0.25116963
## 74 0.33606995 -0.59810927 -0.255412108 -0.34413917 0.83815696 0.05974230
## 75 -0.02401106 0.04273288 0.660045846 -0.81682107 0.45925174 -0.36889563
## 76 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 77 -0.38409207 0.68357502 0.173234821 0.13945876 -0.42391634 0.25116963
## 78 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 0.25116963
## 79 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 -0.45079779
## 80 -0.65826778 1.17153009 1.157302340 -0.13958042 -1.18368372 0.16926748
## 81 -0.74417307 1.32441717 0.728655411 -0.62317835 0.07838958 -0.25937046
## 82 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.87123489
## 83 0.50788054 -0.90388342 -0.186802543 -0.15049644 0.45729480 0.05974230
## 84 0.86796154 -1.54472556 0.173234821 0.13945876 -0.42391634 -0.36889563
## 85 0.06189423 -0.11015420 0.241844386 0.33310148 -0.80477850 0.48838024
## 86 -0.38409207 0.68357502 1.225911906 0.05406231 -1.56454588 0.27879265
## 87 -0.29818677 0.53068795 0.008580683 -1.20308875 1.84081186 -0.52648710
## 88 0.50788054 -0.90388342 -0.255412108 -0.34413917 0.83815696 -0.09784916
## 89 0.86796154 -1.54472556 0.173234821 0.13945876 -0.42391634 0.05974230
## 90 -0.21228148 0.37780087 -0.382185769 0.90209587 -0.92622226 -0.93696477
## 91 -1.19015938 2.11814639 -0.975486836 -0.92404957 2.60057924 -0.96133788
## 92 -0.46999736 0.83646210 -0.382185769 0.90209587 -0.92622226 -0.04978287
## 93 -0.74417307 1.32441717 0.173234821 0.13945876 -0.42391634 -0.44458495
## 94 -0.38409207 0.68357502 0.173234821 0.13945876 -0.42391634 0.05974230
## 95 0.50788054 -0.90388342 -2.086328016 0.60122464 1.59596740 -0.63601227
## 96 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 97 0.86796154 -1.54472556 -0.742223133 0.61214066 -0.04501112 0.25116963
## 98 -0.02401106 0.04273288 -0.255412108 -0.34413917 0.83815696 0.33307178
## 99 -0.46999736 0.83646210 -0.255412108 -0.34413917 0.83815696 0.20538634
## 100 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.25116963
## 101 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 102 -0.10991635 0.19561995 0.173234821 0.13945876 -0.42391634 0.05974230
## 103 -0.38409207 0.68357502 -0.742223133 0.61214066 -0.04501112 0.55212212
## 104 0.33606995 -0.59810927 0.173234821 0.13945876 -0.42391634 0.05974230
## 105 -0.02401106 0.04273288 -0.742223133 0.61214066 -0.04501112 -0.36889563
## 106 0.50788054 -0.90388342 0.173234821 0.13945876 -0.42391634 0.25116963
## 107 0.33606995 -0.59810927 -0.255412108 -0.34413917 0.83815696 0.05974230
## 108 -0.02401106 0.04273288 0.660045846 -0.81682107 0.45925174 -0.36889563
## 109 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 110 -0.38409207 0.68357502 0.173234821 0.13945876 -0.42391634 0.25116963
## 111 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 0.25116963
## 112 -0.02401106 0.04273288 0.104625256 -0.05418396 -0.04305418 0.05974230
## 113 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 0.25116963
## 114 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 115 0.86796154 -1.54472556 0.104625256 -0.05418396 -0.04305418 -0.56032296
## 116 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 117 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 118 -0.10991635 0.19561995 -2.641748606 1.36386175 1.09366147 -0.04978287
## 119 -0.02401106 0.04273288 0.104625256 -0.05418396 -0.04305418 0.14164446
## 120 -0.46999736 0.83646210 -0.382185769 0.90209587 -0.92622226 0.51828627
## 121 -0.02401106 0.04273288 -0.810832698 0.41849794 0.33585104 -0.04978287
## 122 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 -0.13168502
## 123 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 124 -0.02401106 0.04273288 0.728655411 -0.62317835 0.07838958 0.16926748
## 125 -0.46999736 0.83646210 0.173234821 0.13945876 -0.42391634 0.05974230
## 126 0.14779953 -0.26304127 0.173234821 0.13945876 -0.42391634 0.25116963
## 127 -0.02401106 0.04273288 -0.186802543 -0.15049644 0.45729480 0.05974230
## 128 1.22804255 -2.18556771 -0.615449472 -0.63409437 1.71936810 -0.04978287
## 129 -0.46999736 0.83646210 0.104625256 -0.05418396 -0.04305418 -0.74553745
## 130 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 131 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 -0.74553745
## 132 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 0.25116963
## 133 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.16926748
## 134 0.42197524 -0.75099634 -0.742223133 0.61214066 -0.04501112 0.62781144
## 135 -0.46999736 0.83646210 0.173234821 0.13945876 -0.42391634 0.05974230
## 136 0.50788054 -0.90388342 -0.742223133 0.61214066 -0.04501112 -0.82743960
## 137 -0.02401106 0.04273288 0.104625256 -0.05418396 -0.04305418 -0.17746831
## 138 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 0.51828627
## 139 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 140 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 141 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 142 -0.02401106 0.04273288 -0.255412108 -0.34413917 0.83815696 0.05974230
## 143 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 -0.74553745
## 144 0.86796154 -1.54472556 -0.255412108 -0.34413917 0.83815696 0.05974230
## 145 -0.02401106 0.04273288 0.660045846 -0.81682107 0.45925174 -0.04978287
## 146 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 147 -0.02401106 0.04273288 -0.615449472 -0.63409437 1.71936810 -0.36889563
## 148 0.33606995 -0.59810927 -0.255412108 -0.34413917 0.83815696 -0.13168502
## 149 -0.02401106 0.04273288 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 150 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 151 0.42197524 -0.75099634 0.104625256 -0.05418396 -0.04305418 0.25116963
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## 353 -0.02401106 0.04273288 -0.255412108 -0.34413917 0.83815696 0.33307178
## 354 -0.46999736 0.83646210 -0.255412108 -0.34413917 0.83815696 0.20538634
## 355 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.25116963
## 356 -0.10991635 0.19561995 0.104625256 -0.05418396 -0.04305418 -0.04978287
## 357 -0.10991635 0.19561995 0.173234821 0.13945876 -0.42391634 0.05974230
## 358 -0.38409207 0.68357502 -0.742223133 0.61214066 -0.04501112 0.55212212
## 359 0.33606995 -0.59810927 0.173234821 0.13945876 -0.42391634 0.05974230
## 360 -0.02401106 0.04273288 -0.742223133 0.61214066 -0.04501112 -0.36889563
## 361 0.50788054 -0.90388342 0.173234821 0.13945876 -0.42391634 0.25116963
## 362 0.33606995 -0.59810927 -0.255412108 -0.34413917 0.83815696 0.05974230
## 363 -0.02401106 0.04273288 0.660045846 -0.81682107 0.45925174 -0.36889563
## 364 -0.02401106 0.04273288 0.173234821 0.13945876 -0.42391634 0.05974230
## 365 -0.38409207 0.68357502 0.173234821 0.13945876 -0.42391634 0.25116963
## 366 0.42197524 -0.75099634 0.173234821 0.13945876 -0.42391634 0.25116963
## V13 V14 V15 V16
## 1 0.51356697 -0.51187444 0.16969382 -1.12838771
## 2 0.51356697 -0.51187444 0.16969382 -1.97301066
## 3 0.12309864 0.30880705 0.69081021 -0.19022938
## 4 -0.23290973 -0.06988993 0.38542451 0.12310332
## 5 0.12713618 0.31310191 -1.39453457 -0.42141872
## 6 -0.23290973 -0.06988993 0.38542451 0.04609492
## 7 -0.23290973 -0.06988993 0.38542451 0.28075671
## 8 -0.23290973 -0.06988993 0.38542451 0.22649443
## 9 -0.23290973 -0.06988993 0.38542451 0.04609492
## 10 -0.08915190 -0.06329344 0.32039859 1.53225699
## 11 -0.23290973 -0.06988993 0.38542451 0.04609492
## 12 0.09087106 0.12820248 -0.56958095 -0.01646620
## 13 -0.23290973 -0.06988993 0.38542451 0.12310332
## 14 -0.08915190 -0.06329344 0.32039859 0.19039671
## 15 0.98110560 -0.30718554 -0.85033757 -0.33101592
## 16 -0.94312132 0.55699401 -0.22379841 0.36439563
## 17 -0.08915190 -0.06329344 0.32039859 0.19039671
## 18 0.12713618 0.31310191 -1.39453457 -0.83364086
## 19 -0.23290973 -0.06988993 0.38542451 -0.30403943
## 20 -0.05288677 0.12160599 -0.50455503 -0.06008535
## 21 1.69131719 -0.93406948 -0.24111464 -1.08854096
## 22 -0.19664461 0.11500950 -0.43952910 -1.35661213
## 23 -0.37666757 -0.07648642 0.45045044 -0.09050584
## 24 -0.08915190 -0.06329344 0.32039859 1.81049997
## 25 -0.05288677 0.12160599 -0.50455503 0.18955300
## 26 -0.76309836 0.74848993 -1.11377795 0.21511012
## 27 -0.23290973 -0.06988993 0.38542451 0.08510767
## 28 0.12713618 0.31310191 -1.39453457 -0.83364086
## 29 -0.23290973 -0.06988993 0.38542451 -0.30403943
## 30 -0.05288677 0.12160599 -0.50455503 -0.06008535
## 31 1.69131719 -0.93406948 -0.24111464 -1.08854096
## 32 -0.19664461 0.11500950 -0.43952910 -1.35661213
## 33 -0.37666757 -0.07648642 0.45045044 -0.09050584
## 34 -0.08915190 -0.06329344 0.32039859 1.81049997
## 35 -0.05288677 0.12160599 -0.50455503 0.18955300
## 36 -0.76309836 0.74848993 -1.11377795 0.21511012
## 37 -0.23290973 -0.06988993 0.38542451 0.08510767
## 38 0.09087106 0.12820248 -0.56958095 0.94015981
## 39 0.09087106 0.12820248 -0.56958095 0.16122483
## 40 -0.23290973 -0.06988993 0.38542451 0.07048921
## 41 -0.23290973 -0.06988993 0.38542451 0.04609492
## 42 0.09087106 0.12820248 -0.56958095 -0.01646620
## 43 -0.23290973 -0.06988993 0.38542451 0.15718705
## 44 -0.23290973 -0.06988993 0.38542451 -0.50250897
## 45 -0.05288677 0.12160599 -0.50455503 0.30064513
## 46 0.47730185 -0.69677386 0.99464744 -0.66932078
## 47 -0.37666757 -0.07648642 0.45045044 -0.43286624
## 48 0.65732481 -0.50527795 0.10466790 -0.13350813
## 49 -0.90685619 0.74189343 -1.04875203 -0.68521417
## 50 -0.23290973 -0.06988993 0.38542451 0.59625528
## 51 0.80108264 -0.49868146 0.03964197 0.53198381
## 52 -1.26690211 0.35890160 0.73120705 1.00625012
## 53 -0.52042541 -0.08308291 0.51547636 -1.53281621
## 54 0.15936376 0.49370647 -0.13414340 0.34604404
## 55 -0.87462862 0.92249800 0.21163914 -1.90147090
## 56 -0.23290973 -0.06988993 0.38542451 0.24746020
## 57 0.26685647 0.31540354 0.62578429 1.66861381
## 58 1.18751343 -1.32365780 1.60387037 -0.33799633
## 59 -0.08915190 -0.06329344 0.32039859 0.80090038
## 60 0.48314455 0.69179888 -1.08914887 -0.50656250
## 61 -0.23290973 -0.06988993 0.38542451 0.26266802
## 62 0.30312160 0.50030296 -0.19916933 0.35699611
## 63 -0.23290973 -0.06988993 0.38542451 -0.20466166
## 64 -0.05288677 0.12160599 -0.50455503 0.38186387
## 65 0.27089402 0.31969840 -1.45956049 0.96419140
## 66 1.34115152 0.07580629 -2.63029665 -0.66101376
## 67 -0.05288677 0.12160599 -0.50455503 -0.45053733
## 68 -0.08915190 -0.06329344 0.32039859 0.48016604
## 69 -0.23290973 -0.06988993 0.38542451 -0.23214806
## 70 -0.01662165 0.30650541 -1.32950864 -1.30260461
## 71 -0.23290973 -0.06988993 0.38542451 -0.04675600
## 72 0.80108264 -0.49868146 0.03964197 0.70147455
## 73 -0.05288677 0.12160599 -0.50455503 0.32154873
## 74 -0.23290973 -0.06988993 0.38542451 -0.33321719
## 75 0.80108264 -0.49868146 0.03964197 -0.16600492
## 76 -0.23290973 -0.06988993 0.38542451 0.04609492
## 77 -0.05288677 0.12160599 -0.50455503 0.12788448
## 78 -0.05288677 0.12160599 -0.50455503 0.05593580
## 79 0.47730185 -0.69677386 0.99464744 -0.66932078
## 80 -0.37666757 -0.07648642 0.45045044 -0.43286624
## 81 0.65732481 -0.50527795 0.10466790 -0.13350813
## 82 -0.90685619 0.74189343 -1.04875203 -0.68521417
## 83 -0.23290973 -0.06988993 0.38542451 0.59625528
## 84 0.80108264 -0.49868146 0.03964197 0.53198381
## 85 -1.26690211 0.35890160 0.73120705 1.00625012
## 86 -0.52042541 -0.08308291 0.51547636 -1.53281621
## 87 0.15936376 0.49370647 -0.13414340 0.34604404
## 88 -0.87462862 0.92249800 0.21163914 -1.90147090
## 89 -0.23290973 -0.06988993 0.38542451 0.24746020
## 90 0.26685647 0.31540354 0.62578429 1.66861381
## 91 1.18751343 -1.32365780 1.60387037 -0.33799633
## 92 -0.08915190 -0.06329344 0.32039859 0.80090038
## 93 0.48314455 0.69179888 -1.08914887 -0.50656250
## 94 -0.23290973 -0.06988993 0.38542451 0.26266802
## 95 0.30312160 0.50030296 -0.19916933 0.35699611
## 96 -0.23290973 -0.06988993 0.38542451 -0.20466166
## 97 -0.05288677 0.12160599 -0.50455503 0.38186387
## 98 0.27089402 0.31969840 -1.45956049 0.96419140
## 99 1.34115152 0.07580629 -2.63029665 -0.66101376
## 100 -0.05288677 0.12160599 -0.50455503 -0.45053733
## 101 -0.08915190 -0.06329344 0.32039859 0.48016604
## 102 -0.23290973 -0.06988993 0.38542451 -0.23214806
## 103 -0.01662165 0.30650541 -1.32950864 -1.30260461
## 104 -0.23290973 -0.06988993 0.38542451 -0.04675600
## 105 0.80108264 -0.49868146 0.03964197 0.70147455
## 106 -0.05288677 0.12160599 -0.50455503 0.32154873
## 107 -0.23290973 -0.06988993 0.38542451 -0.33321719
## 108 0.80108264 -0.49868146 0.03964197 -0.16600492
## 109 -0.23290973 -0.06988993 0.38542451 0.04609492
## 110 -0.05288677 0.12160599 -0.50455503 0.12788448
## 111 -0.05288677 0.12160599 -0.50455503 0.05593580
## 112 -0.23290973 -0.06988993 0.38542451 -1.01752238
## 113 -0.05288677 0.12160599 -0.50455503 -0.01095105
## 114 -0.23290973 -0.06988993 0.38542451 0.04609492
## 115 0.62105969 -0.69017737 0.92962151 -0.14609338
## 116 -0.23290973 -0.06988993 0.38542451 0.04609492
## 117 -0.23290973 -0.06988993 0.38542451 0.04609492
## 118 -0.08915190 -0.06329344 0.32039859 0.98317127
## 119 0.09087106 0.12820248 -0.56958095 0.26177678
## 120 0.44507427 -0.87737843 -0.26574373 0.50639118
## 121 -0.08915190 -0.06329344 0.32039859 1.82336607
## 122 -0.41293269 -0.26138584 1.27540406 0.26065886
## 123 -0.23290973 -0.06988993 0.38542451 0.04609492
## 124 -0.37666757 -0.07648642 0.45045044 -1.01273775
## 125 -0.23290973 -0.06988993 0.38542451 -0.05458771
## 126 -0.05288677 0.12160599 -0.50455503 0.57888251
## 127 -0.23290973 -0.06988993 0.38542451 0.65720388
## 128 -0.08915190 -0.06329344 0.32039859 2.04589774
## 129 0.44687943 0.50689945 -0.26419525 -0.17098378
## 130 -0.23290973 -0.06988993 0.38542451 0.04609492
## 131 0.44687943 0.50689945 -0.26419525 0.84700039
## 132 -0.05288677 0.12160599 -0.50455503 -0.02555993
## 133 -0.37666757 -0.07648642 0.45045044 -1.44006715
## 134 0.30131644 -0.88397492 -0.20071780 -0.20283919
## 135 -0.23290973 -0.06988993 0.38542451 -0.05458771
## 136 0.12309864 0.30880705 0.69081021 0.28019241
## 137 0.98110560 -0.30718554 -0.85033757 -0.43341949
## 138 0.44507427 -0.87737843 -0.26574373 -0.42347823
## 139 -0.23290973 -0.06988993 0.38542451 0.05102395
## 140 -0.23290973 -0.06988993 0.38542451 0.01649853
## 141 -0.08915190 -0.06329344 0.32039859 0.40315764
## 142 -0.23290973 -0.06988993 0.38542451 -0.22426599
## 143 0.44687943 0.50689945 -0.26419525 1.85422492
## 144 -0.23290973 -0.06988993 0.38542451 -0.12629182
## 145 -0.08915190 -0.06329344 0.32039859 0.85348610
## 146 -0.08915190 -0.06329344 0.32039859 0.26740511
## 147 0.80108264 -0.49868146 0.03964197 0.78913566
## 148 -0.41293269 -0.26138584 1.27540406 -0.18726240
## 149 -0.08915190 -0.06329344 0.32039859 0.46863969
## 150 -0.23290973 -0.06988993 0.38542451 0.04609492
## 151 -0.05288677 0.12160599 -0.50455503 -0.83393332
## 152 -0.40889515 -0.25709098 -0.80994073 -0.91598162
## 153 -0.41293269 -0.26138584 1.27540406 0.42224962
## 154 -0.08915190 -0.06329344 0.32039859 0.54577878
## 155 -0.08915190 -0.06329344 0.32039859 0.19039671
## 156 0.80108264 -0.49868146 0.03964197 -0.83256454
## 157 -0.08915190 -0.06329344 0.32039859 0.36795705
## 158 -0.23290973 -0.06988993 0.38542451 -0.13430458
## 159 0.80108264 -0.49868146 0.03964197 -0.64618631
## 160 -0.05288677 0.12160599 -0.50455503 -0.60487709
## 161 -0.23290973 -0.06988993 0.38542451 0.04609492
## 162 -0.23290973 -0.06988993 0.38542451 0.04609492
## 163 -0.08915190 -0.06329344 0.32039859 0.46863969
## 164 0.44507427 -0.87737843 -0.26574373 -0.06822685
## 165 -0.08915190 -0.06329344 0.32039859 0.19039671
## 166 0.26685647 0.31540354 0.62578429 0.02859675
## 167 0.26685647 0.31540354 0.62578429 -0.26117259
## 168 0.47730185 -0.69677386 0.99464744 -1.30462252
## 169 -0.23290973 -0.06988993 0.38542451 0.04609492
## 170 -0.23290973 -0.06988993 0.38542451 0.04609492
## 171 0.62105969 -0.69017737 0.92962151 0.33856324
## 172 -0.23290973 -0.06988993 0.38542451 0.19171247
## 173 0.09087106 0.12820248 -0.56958095 1.19252443
## 174 -0.94312132 0.55699401 -0.22379841 0.42677136
## 175 0.98291076 1.07709234 -0.84878909 0.20755796
## 176 0.27089402 0.31969840 -1.45956049 -0.04563808
## 177 -0.40708999 1.12718690 -0.80839225 0.01489587
## 178 -0.23290973 -0.06988993 0.38542451 0.04609492
## 179 -0.08915190 -0.06329344 0.32039859 0.19039671
## 180 1.19335614 0.06491494 -0.47992594 -1.69723894
## 181 -0.23290973 -0.06988993 0.38542451 -0.73335860
## 182 -0.08915190 -0.06329344 0.32039859 0.19039671
## 183 -0.23290973 -0.06988993 0.38542451 0.12310332
## 184 0.12713618 0.31310191 -1.39453457 -0.42141872
## 185 -0.23290973 -0.06988993 0.38542451 0.04609492
## 186 -0.23290973 -0.06988993 0.38542451 0.28075671
## 187 -0.23290973 -0.06988993 0.38542451 0.22649443
## 188 -0.23290973 -0.06988993 0.38542451 0.04609492
## 189 -0.08915190 -0.06329344 0.32039859 1.53225699
## 190 -0.23290973 -0.06988993 0.38542451 0.04609492
## 191 0.09087106 0.12820248 -0.56958095 -0.01646620
## 192 -0.23290973 -0.06988993 0.38542451 0.12310332
## 193 -0.08915190 -0.06329344 0.32039859 0.19039671
## 194 0.98110560 -0.30718554 -0.85033757 -0.33101592
## 195 -0.94312132 0.55699401 -0.22379841 0.36439563
## 196 -0.08915190 -0.06329344 0.32039859 0.19039671
## 197 0.12713618 0.31310191 -1.39453457 -0.83364086
## 198 -0.23290973 -0.06988993 0.38542451 -0.30403943
## 199 -0.05288677 0.12160599 -0.50455503 -0.06008535
## 200 1.69131719 -0.93406948 -0.24111464 -1.08854096
## 201 -0.19664461 0.11500950 -0.43952910 -1.35661213
## 202 -0.37666757 -0.07648642 0.45045044 -0.09050584
## 203 -0.08915190 -0.06329344 0.32039859 1.81049997
## 204 -0.05288677 0.12160599 -0.50455503 0.18955300
## 205 -0.76309836 0.74848993 -1.11377795 0.21511012
## 206 -0.23290973 -0.06988993 0.38542451 0.08510767
## 207 0.09087106 0.12820248 -0.56958095 0.94015981
## 208 0.09087106 0.12820248 -0.56958095 0.16122483
## 209 -0.23290973 -0.06988993 0.38542451 0.07048921
## 210 -0.23290973 -0.06988993 0.38542451 0.04609492
## 211 0.09087106 0.12820248 -0.56958095 -0.01646620
## 212 -0.23290973 -0.06988993 0.38542451 0.15718705
## 213 -0.23290973 -0.06988993 0.38542451 -0.50250897
## 214 -0.05288677 0.12160599 -0.50455503 0.30064513
## 215 0.47730185 -0.69677386 0.99464744 -0.66932078
## 216 -0.37666757 -0.07648642 0.45045044 -0.43286624
## 217 0.65732481 -0.50527795 0.10466790 -0.13350813
## 218 -0.90685619 0.74189343 -1.04875203 -0.68521417
## 219 -0.23290973 -0.06988993 0.38542451 0.59625528
## 220 0.80108264 -0.49868146 0.03964197 0.53198381
## 221 -1.26690211 0.35890160 0.73120705 1.00625012
## 222 -0.52042541 -0.08308291 0.51547636 -1.53281621
## 223 0.15936376 0.49370647 -0.13414340 0.34604404
## 224 -0.87462862 0.92249800 0.21163914 -1.90147090
## 225 -0.23290973 -0.06988993 0.38542451 0.24746020
## 226 0.26685647 0.31540354 0.62578429 1.66861381
## 227 1.18751343 -1.32365780 1.60387037 -0.33799633
## 228 -0.08915190 -0.06329344 0.32039859 0.80090038
## 229 0.48314455 0.69179888 -1.08914887 -0.50656250
## 230 -0.23290973 -0.06988993 0.38542451 0.26266802
## 231 0.30312160 0.50030296 -0.19916933 0.35699611
## 232 -0.23290973 -0.06988993 0.38542451 -0.20466166
## 233 -0.05288677 0.12160599 -0.50455503 0.38186387
## 234 0.27089402 0.31969840 -1.45956049 0.96419140
## 235 1.34115152 0.07580629 -2.63029665 -0.66101376
## 236 -0.05288677 0.12160599 -0.50455503 -0.45053733
## 237 -0.08915190 -0.06329344 0.32039859 0.48016604
## 238 -0.23290973 -0.06988993 0.38542451 -0.23214806
## 239 -0.01662165 0.30650541 -1.32950864 -1.30260461
## 240 -0.23290973 -0.06988993 0.38542451 0.04609492
## 241 -0.08915190 -0.06329344 0.32039859 0.46863969
## 242 0.44507427 -0.87737843 -0.26574373 -0.06822685
## 243 -0.08915190 -0.06329344 0.32039859 0.19039671
## 244 0.26685647 0.31540354 0.62578429 0.02859675
## 245 0.26685647 0.31540354 0.62578429 -0.26117259
## 246 0.47730185 -0.69677386 0.99464744 -1.30462252
## 247 -0.23290973 -0.06988993 0.38542451 0.04609492
## 248 -0.23290973 -0.06988993 0.38542451 0.04609492
## 249 0.62105969 -0.69017737 0.92962151 0.33856324
## 250 -0.23290973 -0.06988993 0.38542451 0.19171247
## 251 0.09087106 0.12820248 -0.56958095 1.19252443
## 252 -0.94312132 0.55699401 -0.22379841 0.42677136
## 253 0.98291076 1.07709234 -0.84878909 0.20755796
## 254 0.27089402 0.31969840 -1.45956049 -0.04563808
## 255 -0.40708999 1.12718690 -0.80839225 0.01489587
## 256 -0.23290973 -0.06988993 0.38542451 0.04609492
## 257 -0.08915190 -0.06329344 0.32039859 0.19039671
## 258 1.19335614 0.06491494 -0.47992594 -1.69723894
## 259 -0.23290973 -0.06988993 0.38542451 -0.73335860
## 260 -0.08915190 -0.06329344 0.32039859 0.19039671
## 261 -0.08915190 -0.06329344 0.32039859 0.19039671
## 262 -0.08915190 -0.06329344 0.32039859 1.45401785
## 263 0.44687943 0.50689945 -0.26419525 -0.32007155
## 264 -0.08915190 -0.06329344 0.32039859 0.46863969
## 265 -0.05288677 0.12160599 -0.50455503 -0.08375959
## 266 -1.12314427 0.36549809 0.66618113 0.86730441
## 267 -0.23290973 -0.06988993 0.38542451 0.31035311
## 268 -0.05288677 0.12160599 -0.50455503 -0.16076799
## 269 -0.23290973 -0.06988993 0.38542451 0.04609492
## 270 -0.23290973 -0.06988993 0.38542451 0.72026898
## 271 0.47730185 -0.69677386 0.99464744 0.34544333
## 272 -0.23290973 -0.06988993 0.38542451 0.04609492
## 273 -0.90685619 0.74189343 -1.04875203 -0.36140658
## 274 -0.05288677 0.12160599 -0.50455503 -0.08203730
## 275 0.80108264 -0.49868146 0.03964197 0.30754397
## 276 -0.37666757 -0.07648642 0.45045044 -1.44006715
## 277 0.15936376 0.49370647 -0.13414340 -2.05601638
## 278 0.30312160 0.50030296 -0.19916933 -0.84292369
## 279 -0.08915190 -0.06329344 0.32039859 0.29107935
## 280 0.09087106 0.12820248 -0.56958095 1.40598920
## 281 -0.23290973 -0.06988993 0.38542451 0.04609492
## 282 -0.23290973 -0.06988993 0.38542451 -0.72775305
## 283 -0.23290973 -0.06988993 0.38542451 0.04609492
## 284 0.27089402 0.31969840 -1.45956049 0.30518726
## 285 -0.08915190 -0.06329344 0.32039859 0.19039671
## 286 0.51356697 -0.51187444 0.16969382 -1.12838771
## 287 0.51356697 -0.51187444 0.16969382 -1.97301066
## 288 0.12309864 0.30880705 0.69081021 -0.19022938
## 289 -0.23290973 -0.06988993 0.38542451 0.12310332
## 290 0.12713618 0.31310191 -1.39453457 -0.42141872
## 291 -0.23290973 -0.06988993 0.38542451 0.04609492
## 292 -0.23290973 -0.06988993 0.38542451 0.28075671
## 293 -0.23290973 -0.06988993 0.38542451 0.22649443
## 294 -0.23290973 -0.06988993 0.38542451 0.04609492
## 295 -0.08915190 -0.06329344 0.32039859 1.53225699
## 296 -0.23290973 -0.06988993 0.38542451 0.04609492
## 297 0.09087106 0.12820248 -0.56958095 -0.01646620
## 298 -0.23290973 -0.06988993 0.38542451 0.12310332
## 299 -0.08915190 -0.06329344 0.32039859 0.19039671
## 300 0.98110560 -0.30718554 -0.85033757 -0.33101592
## 301 -0.94312132 0.55699401 -0.22379841 0.36439563
## 302 -0.08915190 -0.06329344 0.32039859 0.19039671
## 303 0.12713618 0.31310191 -1.39453457 -0.83364086
## 304 -0.23290973 -0.06988993 0.38542451 -0.30403943
## 305 -0.05288677 0.12160599 -0.50455503 -0.06008535
## 306 1.69131719 -0.93406948 -0.24111464 -1.08854096
## 307 -0.23290973 -0.06988993 0.38542451 0.04609492
## 308 -0.08915190 -0.06329344 0.32039859 1.53225699
## 309 -0.23290973 -0.06988993 0.38542451 0.04609492
## 310 0.09087106 0.12820248 -0.56958095 -0.01646620
## 311 -0.23290973 -0.06988993 0.38542451 0.12310332
## 312 -0.08915190 -0.06329344 0.32039859 0.19039671
## 313 0.98110560 -0.30718554 -0.85033757 -0.33101592
## 314 -0.94312132 0.55699401 -0.22379841 0.36439563
## 315 -0.08915190 -0.06329344 0.32039859 0.19039671
## 316 0.12713618 0.31310191 -1.39453457 -0.83364086
## 317 -0.23290973 -0.06988993 0.38542451 -0.30403943
## 318 -0.05288677 0.12160599 -0.50455503 -0.06008535
## 319 1.69131719 -0.93406948 -0.24111464 -1.08854096
## 320 -0.19664461 0.11500950 -0.43952910 -1.35661213
## 321 -0.37666757 -0.07648642 0.45045044 -0.09050584
## 322 -0.08915190 -0.06329344 0.32039859 1.81049997
## 323 -0.05288677 0.12160599 -0.50455503 0.18955300
## 324 -0.76309836 0.74848993 -1.11377795 0.21511012
## 325 -0.23290973 -0.06988993 0.38542451 0.08510767
## 326 0.09087106 0.12820248 -0.56958095 0.94015981
## 327 0.09087106 0.12820248 -0.56958095 0.16122483
## 328 -0.23290973 -0.06988993 0.38542451 0.07048921
## 329 -0.23290973 -0.06988993 0.38542451 0.04609492
## 330 0.09087106 0.12820248 -0.56958095 -0.01646620
## 331 -0.23290973 -0.06988993 0.38542451 0.15718705
## 332 -0.23290973 -0.06988993 0.38542451 -0.50250897
## 333 -0.05288677 0.12160599 -0.50455503 0.30064513
## 334 0.47730185 -0.69677386 0.99464744 -0.66932078
## 335 -0.37666757 -0.07648642 0.45045044 -0.43286624
## 336 0.65732481 -0.50527795 0.10466790 -0.13350813
## 337 -0.90685619 0.74189343 -1.04875203 -0.68521417
## 338 -0.23290973 -0.06988993 0.38542451 0.59625528
## 339 0.80108264 -0.49868146 0.03964197 0.53198381
## 340 -1.26690211 0.35890160 0.73120705 1.00625012
## 341 -0.52042541 -0.08308291 0.51547636 -1.53281621
## 342 0.15936376 0.49370647 -0.13414340 0.34604404
## 343 -0.87462862 0.92249800 0.21163914 -1.90147090
## 344 -0.23290973 -0.06988993 0.38542451 0.24746020
## 345 0.26685647 0.31540354 0.62578429 1.66861381
## 346 1.18751343 -1.32365780 1.60387037 -0.33799633
## 347 -0.08915190 -0.06329344 0.32039859 0.80090038
## 348 0.48314455 0.69179888 -1.08914887 -0.50656250
## 349 -0.23290973 -0.06988993 0.38542451 0.26266802
## 350 0.30312160 0.50030296 -0.19916933 0.35699611
## 351 -0.23290973 -0.06988993 0.38542451 -0.20466166
## 352 -0.05288677 0.12160599 -0.50455503 0.38186387
## 353 0.27089402 0.31969840 -1.45956049 0.96419140
## 354 1.34115152 0.07580629 -2.63029665 -0.66101376
## 355 -0.05288677 0.12160599 -0.50455503 -0.45053733
## 356 -0.08915190 -0.06329344 0.32039859 0.48016604
## 357 -0.23290973 -0.06988993 0.38542451 -0.23214806
## 358 -0.01662165 0.30650541 -1.32950864 -1.30260461
## 359 -0.23290973 -0.06988993 0.38542451 -0.04675600
## 360 0.80108264 -0.49868146 0.03964197 0.70147455
## 361 -0.05288677 0.12160599 -0.50455503 0.32154873
## 362 -0.23290973 -0.06988993 0.38542451 -0.33321719
## 363 0.80108264 -0.49868146 0.03964197 -0.16600492
## 364 -0.23290973 -0.06988993 0.38542451 0.04609492
## 365 -0.05288677 0.12160599 -0.50455503 0.12788448
## 366 -0.05288677 0.12160599 -0.50455503 0.05593580# Jalankan algoritma Kernel K-Means
hasil_kkmeans <- kernel_kmeans(dfmatrikserror, k=2, max_iter = 100, kernel_fun = rbf_kernel, sigma = 1)## Kernel K-Means konvergen pada iterasi ke- 5# Tampilkan hasil cluster
print(hasil_kkmeans$clusters)## [1] 2 2 2 1 2 1 2 1 1 2 1 1 1 1 2 2 1 2 2 1 2 2 1 2 1 2 2 2 2 1 2 2 1 2 1 2 2
## [38] 2 2 2 1 1 1 2 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 2 2 2 2 2
## [75] 2 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 2 2 2 2 2 2 1 1 2
## [112] 1 2 1 2 1 1 2 1 2 2 2 1 2 1 2 2 2 2 1 2 2 2 2 1 2 2 2 2 2 1 2 2 2 2 1 2 2
## [149] 1 1 2 2 2 2 1 2 1 1 2 2 1 1 1 2 1 2 2 2 1 1 2 2 2 2 2 2 2 1 1 2 2 1 1 2 1
## [186] 2 1 1 2 1 1 1 1 2 2 1 2 2 1 2 2 1 2 1 2 2 2 2 2 1 1 1 2 1 2 2 2 2 2 2 2 2
## [223] 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 2 1 1 2 1 2 2 2 1 1 2 2 2 2 2 2 2 1 1 2 2
## [260] 1 1 2 2 1 1 2 1 1 1 2 2 1 2 2 2 2 2 2 1 2 1 1 1 2 1 2 2 2 1 2 1 2 1 1 2 1
## [297] 1 1 1 2 2 1 2 2 1 2 1 2 1 1 1 1 2 2 1 2 2 1 2 2 1 2 1 2 2 2 2 2 1 1 1 2 1
## [334] 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 2 2 2 2 2 2 1 1 2data_matrix=as.matrix(dfmatrikserror)
print(table(hasil_kkmeans$clusters))##
## 1 2
## 121 245data_terkelompok_kernel <- split(inputdata$Data,hasil_kkmeans$clusters)
hasil_k1=plsalgorithm(data = data_terkelompok_kernel$"1",inner_weight_scheme = "Path",matrix_outer_model = inputdata$MOM, matrix_inner_model = inputdata$MIM, indicator = inputdata$Indikator, laten_variables = inputdata$Variabel)## Banyak Iterasi: 5
## Outer Weight
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] 0.3837338
## [2,] 0.3243786
## [3,] 0.3408206
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] 0.3333333
## [2,] 0.3333333
## [3,] 0.3333333
##
## Variabel Laten Social Influence
## [,1]
## [1,] 0.5319346
## [2,] 0.5102544
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] 0.3428930
## [2,] 0.3295562
## [3,] 0.3484066
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.2761567
## [2,] 0.2761567
## [3,] 0.2761567
## [4,] 0.2112467
##
## Skor Variabel Laten
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] -1.0248007
## [2,] -0.4894076
## [3,] -1.6642881
## [4,] -0.4894076
## [5,] -0.4894076
## [6,] 1.4285703
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] -0.8075271
## [2,] -0.8075271
## [3,] -0.8075271
## [4,] -0.8075271
## [5,] -0.8075271
## [6,] 1.2281142
##
## Variabel Laten Social Influence
## [,1]
## [1,] -0.4319952
## [2,] -0.4319952
## [3,] -0.4319952
## [4,] -0.4319952
## [5,] -0.4319952
## [6,] 1.4348411
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] -0.4990059
## [2,] -0.4990059
## [3,] -0.4990059
## [4,] -0.4990059
## [5,] -0.4990059
## [6,] 1.3538611
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] -0.4479663
## [2,] -0.4479663
## [3,] -0.4479663
## [4,] -0.4479663
## [5,] -0.4479663
## [6,] 1.1563593
##
## Koefisien Jalur:
## Variabel Laten Perfomance Expectancy
## NULL
##
## Variabel Laten Effort Expectancy
## NULL
##
## Variabel Laten Social Influence
## NULL
##
## Variabel Laten Facilitating Conditions
## NULL
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.01067045
## [2,] 0.03637059
## [3,] 0.20403669
## [4,] 0.76202446
##
## Outer Loading:
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] 0.9584553
## [2,] 0.9528553
## [3,] 0.9480721
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] 1
## [2,] 1
## [3,] 1
##
## Variabel Laten Social Influence
## [,1]
## [1,] 0.9612035
## [2,] 0.9577626
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] 0.9852916
## [2,] 0.9621544
## [3,] 0.9904132
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.9908249
## [2,] 0.9908249
## [3,] 0.9908249
## [4,] 0.8479716
##
## Matriks Residual Gabungan:
## [,1] [,2] [,3] [,4] [,5]
## [1,] 0.45409150 0.4062404 -0.89790921 2.220446e-16 2.220446e-16
## [2,] -0.05905885 -0.1039118 0.16539388 2.220446e-16 2.220446e-16
## [3,] 1.06701165 -0.9558438 -0.29162899 2.220446e-16 2.220446e-16
## [4,] -0.05905885 -0.1039118 0.16539388 2.220446e-16 2.220446e-16
## [5,] -0.05905885 -0.1039118 0.16539388 2.220446e-16 2.220446e-16
## [6,] 0.03913683 0.0399560 -0.08209303 -2.220446e-16 -2.220446e-16
## [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] 2.220446e-16 -0.01009154 0.01052032 -0.03279443 0.09586926 -0.05840686
## [2,] 2.220446e-16 -0.01009154 0.01052032 -0.03279443 0.09586926 -0.05840686
## [3,] 2.220446e-16 -0.01009154 0.01052032 -0.03279443 0.09586926 -0.05840686
## [4,] 2.220446e-16 -0.01009154 0.01052032 -0.03279443 0.09586926 -0.05840686
## [5,] 2.220446e-16 -0.01009154 0.01052032 -0.03279443 0.09586926 -0.05840686
## [6,] -2.220446e-16 0.03351833 -0.03494249 0.00805459 -0.02635957 0.01700627
## [,12] [,13] [,14] [,15] [,16]
## [1,] -0.08427797 -0.08427797 -0.08427797 0.3305225 0.06073662
## [2,] -0.08427797 -0.08427797 -0.08427797 0.3305225 0.05502373
## [3,] -0.08427797 -0.08427797 -0.08427797 0.3305225 0.06756024
## [4,] -0.08427797 -0.08427797 -0.08427797 0.3305225 0.05502373
## [5,] -0.08427797 -0.08427797 -0.08427797 0.3305225 0.05502373
## [6,] 0.26260809 0.26260809 0.26260809 -1.0299000 -0.22798694
##
## CR:
## Variabel Laten Perfomance Expectancy
## [1] 0.9675067
##
## Variabel Laten Effort Expectancy
## [1] 1
##
## Variabel Laten Social Influence
## [1] 0.9586644
##
## Variabel Laten Facilitating Conditions
## [1] 0.986001
##
## Variabel Laten Behavioral Intention
## [1] 0.9775146
##
## AVE:
## Variabel Laten Perfomance Expectancy
## [1] 0.9084701
##
## Variabel Laten Effort Expectancy
## [1] 1
##
## Variabel Laten Social Influence
## [1] 0.9206107
##
## Variabel Laten Facilitating Conditions
## [1] 0.959153
##
## Variabel Laten Behavioral Intention
## [1] 0.9160644
##
## HTMT Matrix:
## Perfomance Expectancy Effort Expectancy
## Perfomance Expectancy NA 0.6923501
## Effort Expectancy 0.6923501 NA
## Social Influence 0.6849658 0.6076648
## Facilitating Conditions 0.8357941 0.7992708
## Behavioral Intention 0.8034515 0.7705566
## Social Influence Facilitating Conditions
## Perfomance Expectancy 0.6849658 0.8357941
## Effort Expectancy 0.6076648 0.7992708
## Social Influence NA 0.8360970
## Facilitating Conditions 0.8360970 NA
## Behavioral Intention 0.8878069 0.9844447
## Behavioral Intention
## Perfomance Expectancy 0.8034515
## Effort Expectancy 0.7705566
## Social Influence 0.8878069
## Facilitating Conditions 0.9844447
## Behavioral Intention NA
##
## R Square:
## Variabel Laten Perfomance Expectancy
## [1] NA
##
## Variabel Laten Effort Expectancy
## [1] NA
##
## Variabel Laten Social Influence
## [1] NA
##
## Variabel Laten Facilitating Conditions
## [1] NA
##
## Variabel Laten Behavioral Intention
## [1] 0.9388645resultbootstrap_k1 <- plsalgorithm_bootstrap(data = data_terkelompok_kernel$"1",inner_weight_scheme = "Path",matrix_outer_model = inputdata$MOM, matrix_inner_model = inputdata$MIM, indicator = inputdata$Indikator, laten_variables = inputdata$Variabel, n_bootstrap=500)
hasil_k2=plsalgorithm(data = data_terkelompok_kernel$"2",inner_weight_scheme = "Path",matrix_outer_model = inputdata$MOM, matrix_inner_model = inputdata$MIM, indicator = inputdata$Indikator, laten_variables = inputdata$Variabel)## Banyak Iterasi: 9
## Outer Weight
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] 0.4240390
## [2,] 0.4527869
## [3,] 0.3042690
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] 0.5053360
## [2,] 0.2482742
## [3,] 0.4409510
##
## Variabel Laten Social Influence
## [,1]
## [1,] 0.8631433
## [2,] 0.2887810
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] 0.3768780
## [2,] 0.5697645
## [3,] 0.3177982
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.3509757
## [2,] 0.3486298
## [3,] 0.3012877
## [4,] 0.1576645
##
## Skor Variabel Laten
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] -0.10118
## [2,] -0.10118
## [3,] -0.10118
## [4,] -0.10118
## [5,] -0.10118
## [6,] -0.10118
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] -0.5927826
## [2,] 1.3248519
## [3,] 0.5388844
## [4,] 0.1931850
## [5,] -0.9690724
## [6,] -0.5927826
##
## Variabel Laten Social Influence
## [,1]
## [1,] -1.77242853
## [2,] -1.17860849
## [3,] 0.04094556
## [4,] -0.55287447
## [5,] 0.35381257
## [6,] 0.35381257
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] -1.7966877
## [2,] -0.1039619
## [3,] -0.1039619
## [4,] 0.3915052
## [5,] -0.5736815
## [6,] -0.1039619
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] -2.24776698
## [2,] -2.24776698
## [3,] -0.31207207
## [4,] -0.21203489
## [5,] 0.09640565
## [6,] 1.49596720
##
## Koefisien Jalur:
## Variabel Laten Perfomance Expectancy
## NULL
##
## Variabel Laten Effort Expectancy
## NULL
##
## Variabel Laten Social Influence
## NULL
##
## Variabel Laten Facilitating Conditions
## NULL
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.1775119
## [2,] -0.0751141
## [3,] 0.2174542
## [4,] 0.4574628
##
## Outer Loading:
## Variabel Laten Perfomance Expectancy
## [,1]
## [1,] 0.8522918
## [2,] 0.8923138
## [3,] 0.7709198
##
## Variabel Laten Effort Expectancy
## [,1]
## [1,] 0.8635967
## [2,] 0.8048812
## [3,] 0.8249495
##
## Variabel Laten Social Influence
## [,1]
## [1,] 0.9625411
## [2,] 0.5858731
##
## Variabel Laten Facilitating Conditions
## [,1]
## [1,] 0.7356745
## [2,] 0.9020437
## [3,] 0.6569828
##
## Variabel Laten Behavioral Intention
## [,1]
## [1,] 0.9147023
## [2,] 0.8515168
## [3,] 0.9112096
## [4,] 0.6822166
##
## Matriks Residual Gabungan:
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -0.08131099 -0.1305332 0.307566 0.3837992 0.06882952 -0.4785932
## [2,] -0.08131099 -0.1305332 0.307566 0.2225381 0.04098366 -0.2781073
## [3,] -0.08131099 -0.1305332 0.307566 0.9012971 0.67359415 -1.4121613
## [4,] -0.08131099 -0.1305332 0.307566 -0.2949598 -0.56378098 0.6554607
## [5,] -0.08131099 -0.1305332 0.307566 0.7087619 -1.14392398 -0.1681731
## [6,] -0.08131099 -0.1305332 0.307566 0.3837992 0.06882952 -0.4785932
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -0.10330742 0.3087776 -1.0132096 0.3525524 0.5694953 -0.076867637
## [2,] 0.37556420 -1.1225313 0.2341828 0.1477415 -0.5425965 -0.076867637
## [3,] 0.25214108 -0.7536295 0.2341828 0.1477415 -0.5425965 -0.683617501
## [4,] -0.22673054 0.6776794 -0.1303198 -0.2991915 0.6909520 0.388712982
## [5,] -0.04900629 0.1464759 -0.6666003 0.5714491 -0.2339989 0.106581705
## [6,] -0.04900629 0.1464759 0.2341828 0.1477415 -0.5425965 -0.009765741
## [,13] [,14] [,15] [,16]
## [1,] 0.4279465131 -0.45597519 0.09617572 -1.0669928
## [2,] 0.4279465131 -0.45597519 0.09617572 -1.8264392
## [3,] 0.0846371074 0.31540639 0.73192149 -0.2149787
## [4,] -0.0005462354 0.22425155 -1.29263448 -0.2384375
## [5,] -0.2631885482 -0.05680242 0.45325120 0.2270752
## [6,] -0.1499713791 -0.06449365 0.47660157 1.4400222
##
## CR:
## Variabel Laten Perfomance Expectancy
## [1] 0.877539
##
## Variabel Laten Effort Expectancy
## [1] 0.8703872
##
## Variabel Laten Social Influence
## [1] 0.7665277
##
## Variabel Laten Facilitating Conditions
## [1] 0.8127103
##
## Variabel Laten Behavioral Intention
## [1] 0.908082
##
## AVE:
## Variabel Laten Perfomance Expectancy
## [1] 0.7056476
##
## Variabel Laten Effort Expectancy
## [1] 0.6913916
##
## Variabel Laten Social Influence
## [1] 0.6348664
##
## Variabel Laten Facilitating Conditions
## [1] 0.5955087
##
## Variabel Laten Behavioral Intention
## [1] 0.7143709
##
## HTMT Matrix:
## Perfomance Expectancy Effort Expectancy
## Perfomance Expectancy NA 0.2129749
## Effort Expectancy 0.2129749 NA
## Social Influence 0.5786560 0.6518371
## Facilitating Conditions 0.2853007 0.7734470
## Behavioral Intention 0.3922148 0.3211511
## Social Influence Facilitating Conditions
## Perfomance Expectancy 0.5786560 0.2853007
## Effort Expectancy 0.6518371 0.7734470
## Social Influence NA 0.8214224
## Facilitating Conditions 0.8214224 NA
## Behavioral Intention 0.5747911 0.6840497
## Behavioral Intention
## Perfomance Expectancy 0.3922148
## Effort Expectancy 0.3211511
## Social Influence 0.5747911
## Facilitating Conditions 0.6840497
## Behavioral Intention NA
##
## R Square:
## Variabel Laten Perfomance Expectancy
## [1] NA
##
## Variabel Laten Effort Expectancy
## [1] NA
##
## Variabel Laten Social Influence
## [1] NA
##
## Variabel Laten Facilitating Conditions
## [1] NA
##
## Variabel Laten Behavioral Intention
## [1] 0.4021558resultbootstrap_k2 <- plsalgorithm_bootstrap(data = data_terkelompok_kernel$"2",inner_weight_scheme = "Path",matrix_outer_model = inputdata$MOM, matrix_inner_model = inputdata$MIM, indicator = inputdata$Indikator, laten_variables = inputdata$Variabel, n_bootstrap=500)
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## path_coefficient_original average_path_coefficient standar_error t_hitung
## 1 0.01067045 0.01413965 0.06739955 0.1583163
## 2 0.03637059 0.03199431 0.02004987 1.8140064
## 3 0.20403669 0.20368414 0.08712341 2.3419273
## 4 0.76202446 0.76199453 0.11381854 6.6950822
## p_value
## 1 8.742075e-01
## 2 6.967675e-02
## 3 1.918445e-02
## 4 2.155498e-11resultbootstrap_k2$path_coefficient## [[1]]
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## path_coefficient_original average_path_coefficient standar_error t_hitung
## 1 0.1775119 0.18588040 0.07788788 2.279069
## 2 -0.0751141 -0.07794092 0.05960726 -1.260150
## 3 0.2174542 0.22380002 0.08626445 2.520786
## 4 0.4574628 0.45371741 0.07991712 5.724215
## p_value
## 1 2.266294e-02
## 2 2.076152e-01
## 3 1.170930e-02
## 4 1.039130e-08