Nothing
tests/testthat/_snaps/MethodsComparison.md
In FuzzyImputationTest: Imputation Procedures and Quality Tests for Fuzzy Data
Function returns correct values
Code
set.seed(123456)
MethodsComparison(trueData = testMatrix1, iterations = 2, percentage = 0.1,
verbose = FALSE)
Output
$dimp
$dimp$nonFNNumbers
V1 mean se
1 1 0
$dimp$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.21687283 0.4455456 1.5069736 0.11167709 0.5702673 0.02776636
WMAE 0.17612711 0.4779174 3.4849887 0.14775710 1.0716976 0.02729339
MSE 0.05816671 0.2380223 2.4355928 0.01317920 0.6862402 0.04014107
WMSE 0.04598928 0.4289299 12.4882316 0.02554648 3.2471743 0.31572934
NRMSE 0.10453666 0.1977038 0.7580186 0.05691153 0.2792926 0.01324942
$dimp$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.296921806 -0.25264640
ImpMean -1.62697229 0.37675460 -0.13790493 -0.354425112 -0.43563693
AbsDiffTrueImpMean 0.21687283 0.32241768 0.96631574 0.066162238 0.39294212
GenMean -0.89286341 -0.63303381 0.30935695 0.578825655 -0.15942865
GenImpMean -0.87117613 -0.66527557 0.25246555 0.573075324 -0.17772771
AbsDiffGenImpMean 0.02168728 0.03224177 0.09663157 0.006616224 0.03929421
TrueSD 1.11887185 2.00261989 0.10230236 0.878152324 1.02548661
ImpSD 0.98051631 1.91771336 1.27692222 0.925703535 1.27521385
AbsDiffTrueImpSD 0.13835554 0.32635020 1.17461986 0.093429820 0.43318886
GenSD 1.23204855 1.22736828 1.02518086 1.020631251 1.12630723
GenImpSD 1.21265939 1.18993314 1.12706609 1.023431295 1.13827248
AbsDiffGenImpSD 0.01938916 0.03743514 0.10188524 0.002800044 0.04037739
se
TrueMean 0.0602434974
ImpMean 0.2985856137
AbsDiffTrueImpMean 0.1531541674
GenMean 0.0000000000
GenImpMean 0.0238342116
AbsDiffGenImpMean 0.0153154167
TrueSD 0.1354834486
ImpSD 0.0174084628
AbsDiffTrueImpSD 0.1882334272
GenSD 0.0000000000
GenImpSD 0.0053251546
AbsDiffGenImpSD 0.0008473573
$dimp$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.049150012
true+ms-anti 0.6951272 0.6951272 0.023740407
true+res-anti 0.6338028 0.6338028 0.012827193
imputed+avs-anti 0.4051758 0.4051758 0.020699026
imputed+ms-anti 0.4708985 0.4708985 0.003987103
imputed+res-anti 0.5133078 0.5133078 0.028808994
parts+avs-anti 0.8134615 0.8134615 0.023446606
parts+ms-anti 0.7727174 0.7727174 0.023072861
parts+res-anti 0.7935622 0.7935622 0.044508444
$dimp$fuzzyMeasures
V1 mean se
Euclidean 0.0923471 0.0923471 0.03977684
AHD 0.4642569 0.4642569 0.13576607
HSD 0.3363756 0.3363756 0.10523932
Bertoluzza 0.1670894 0.1670894 0.03828474
DiffVal 0.1511283 0.1511283 0.03893445
DiffAmb 0.1536623 0.1536623 0.04072627
DiffEV 0.1240803 0.1240803 0.02783903
DiffWidth 0.1278813 0.1278813 0.03052675
$missForest
$missForest$nonFNNumbers
V1 mean se
1.5000000 1.5000000 0.3535534
$missForest$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.50507402 0.7745481 0.4661655 0.4998938 0.5614203 0.11236049
WMAE 0.23268231 0.4723440 1.1051971 0.6446895 0.6137282 0.09152441
MSE 0.59191386 0.9120216 0.2847556 0.2615484 0.5125598 0.14283866
WMSE 0.06969094 0.2519201 1.6630945 0.4519573 0.6091657 0.21432778
NRMSE 0.27663479 0.4110781 0.2304459 0.2533059 0.2928662 0.05921619
$missForest$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.33877111 0.01729868 0.032249638 0.20297197 -0.27156270
AbsDiffTrueImpMean 0.50507402 0.68187360 0.398759402 0.49989378 0.52140020
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84235601 -0.70122116 0.269481010 0.62881503 -0.16132028
AbsDiffGenImpMean 0.05050740 0.06818736 0.039875940 0.04998938 0.05214002
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.59712615 1.08317029 0.290814740 0.76258536 0.68342413
AbsDiffTrueImpSD 0.52174570 0.91944960 0.188512384 0.11556697 0.43631866
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.15842649 1.10005336 1.032690503 0.98259730 1.06844191
AbsDiffGenImpSD 0.07362206 0.12731492 0.007509645 0.03803395 0.06162014
se
TrueMean 0.0602434974
ImpMean 0.0633117440
AbsDiffTrueImpMean 0.1406590026
GenMean 0.0000000000
GenImpMean 0.0003068247
AbsDiffGenImpMean 0.0140659003
TrueSD 0.1354834486
ImpSD 0.0619656486
AbsDiffTrueImpSD 0.0324715319
GenSD 0.0000000000
GenImpSD 0.0087107707
AbsDiffGenImpSD 0.0104167749
$missForest$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6471081 0.6471081 0.01003962
true+res-anti 0.6968659 0.6968659 0.06565287
imputed+avs-anti 0.4980012 0.4980012 0.08212652
imputed+ms-anti 0.5254567 0.5254567 0.07616974
imputed+res-anti 0.5113635 0.5113635 0.06375165
parts+avs-anti 0.6872766 0.6872766 0.03421529
parts+ms-anti 0.7358638 0.7358638 0.03280561
parts+res-anti 0.7495245 0.7495245 0.02916225
$missForest$fuzzyMeasures
V1 mean se
Euclidean 0.02909747 0.02909747 0.01045791
AHD 0.32618412 0.32618412 0.07636216
HSD 0.23605253 0.23605253 0.05929187
Bertoluzza 0.12017545 0.12017545 0.02276038
DiffVal 0.09546725 0.09546725 0.02602419
DiffAmb 0.09546725 0.09546725 0.02602419
DiffEV 0.09013159 0.09013159 0.01707029
DiffWidth 0.09013159 0.09013159 0.01707029
$miceRanger
$miceRanger$nonFNNumbers
V1 mean se
2 2 0
$miceRanger$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.6727459 1.0245715 0.6797585 0.5344831 0.7278897 0.07770300
WMAE 0.2763539 0.5786063 1.6365744 0.7454369 0.8092429 0.01545126
MSE 0.9923483 1.7350588 0.5493717 0.3697497 0.9116321 0.18797263
WMSE 0.1211555 0.4239973 3.2913576 0.7501604 1.1466677 0.05855361
NRMSE 0.4045132 0.5667099 0.3542184 0.3034581 0.4072249 0.04706119
$miceRanger$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.29692181 -0.2526464
ImpMean -1.19344588 -0.22614784 -0.16389948 0.19642224 -0.3467677
AbsDiffTrueImpMean 0.65039925 0.92532013 0.59490851 0.49334405 0.6659930
GenMean -0.89286341 -0.63303381 0.30935695 0.57882565 -0.1594287
GenImpMean -0.82782349 -0.72556582 0.24986610 0.62816006 -0.1688408
AbsDiffGenImpMean 0.06503992 0.09253201 0.05949085 0.04933440 0.0665993
TrueSD 1.11887185 2.00261989 0.10230236 0.87815232 1.0254866
ImpSD 0.19818099 0.69401962 0.43518146 0.51363820 0.4602551
AbsDiffTrueImpSD 0.92069086 1.30860027 0.37098615 0.36451412 0.7411978
GenSD 1.23204855 1.22736828 1.02518086 1.02063125 1.1263072
GenImpSD 1.14661517 1.06882900 1.04305734 0.96325080 1.0554381
AbsDiffGenImpSD 0.08543339 0.15853928 0.01787649 0.05738045 0.0798074
se
TrueMean 0.060243497
ImpMean 0.096286948
AbsDiffTrueImpMean 0.106925769
GenMean 0.000000000
GenImpMean 0.003604345
AbsDiffGenImpMean 0.010692577
TrueSD 0.135483449
ImpSD 0.033414792
AbsDiffTrueImpSD 0.044471268
GenSD 0.000000000
GenImpSD 0.012182574
AbsDiffGenImpSD 0.012698439
$miceRanger$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6421789 0.6421789 0.020538654
true+res-anti 0.6892184 0.6892184 0.013584876
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6093115 0.6093115 0.001495358
imputed+res-anti 0.6317906 0.6317906 0.005785142
parts+avs-anti 0.7460179 0.7460179 0.075751630
parts+ms-anti 0.7608318 0.7608318 0.056067489
parts+res-anti 0.7665546 0.7665546 0.025919400
$miceRanger$fuzzyMeasures
V1 mean se
Euclidean 0.04551652 0.04551652 0.0039938825
AHD 0.39789921 0.39789921 0.0123137117
HSD 0.29657779 0.29657779 0.0115567946
Bertoluzza 0.13509523 0.13509523 0.0010092228
DiffVal 0.11616517 0.11616517 0.0114316359
DiffAmb 0.11616517 0.11616517 0.0114316359
DiffEV 0.10132142 0.10132142 0.0007569171
DiffWidth 0.10132142 0.10132142 0.0007569171
$knn
$knn$nonFNNumbers
V1 mean se
3.0000000 3.0000000 0.7071068
$knn$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.8547951 1.1441775 0.3968067 0.7352770 0.7827641 0.12891038
WMAE 0.3459249 0.7204759 0.9205403 0.9315421 0.7296208 0.05348817
MSE 1.4906995 1.9690315 0.2112630 0.7795371 1.1126328 0.30243477
WMSE 0.1592601 0.6002915 1.0899603 1.1262724 0.7439461 0.06337808
NRMSE 0.4680417 0.6014376 0.2144926 0.4407309 0.4311757 0.06509935
$knn$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.6991723 0.431009040 -0.29692181 -0.25264640
ImpMean -1.01139663 -0.3457538 0.048838800 0.39721612 -0.22777388
AbsDiffTrueImpMean 0.83244850 1.0449261 0.382170240 0.69413793 0.73842069
GenMean -0.89286341 -0.6330338 0.309356951 0.57882565 -0.15942865
GenImpMean -0.80961857 -0.7375264 0.271139926 0.64823945 -0.15694140
AbsDiffGenImpMean 0.08324485 0.1044926 0.038217024 0.06941379 0.07384207
TrueSD 1.11887185 2.0026199 0.102302356 0.87815232 1.02548661
ImpSD 0.18990961 0.7354049 0.188058287 0.35105450 0.36610682
AbsDiffTrueImpSD 0.92896224 1.2672150 0.248056269 0.52709783 0.74283283
GenSD 1.23204855 1.2273683 1.025180858 1.02063125 1.12630723
GenImpSD 1.13165558 1.0666061 1.029259536 0.94988996 1.04435278
AbsDiffGenImpSD 0.10039297 0.1607622 0.004078677 0.07074129 0.08399379
se
TrueMean 0.0602434974
ImpMean 0.0674292605
AbsDiffTrueImpMean 0.1457210333
GenMean 0.0000000000
GenImpMean 0.0007185763
AbsDiffGenImpMean 0.0145721033
TrueSD 0.1354834486
ImpSD 0.0296128972
AbsDiffTrueImpSD 0.1060861283
GenSD 0.0000000000
GenImpSD 0.0146718182
AbsDiffGenImpSD 0.0147450974
$knn$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6699425 0.6699425 0.03394186
true+res-anti 0.6852960 0.6852960 0.02190072
imputed+avs-anti 0.6000727 0.6000727 0.09338769
imputed+ms-anti 0.6500778 0.6500778 0.02820403
imputed+res-anti 0.6636806 0.6636806 0.04330884
parts+avs-anti 0.7419414 0.7419414 0.02965704
parts+ms-anti 0.8114100 0.8114100 0.01313569
parts+res-anti 0.7823130 0.7823130 0.01766331
$knn$fuzzyMeasures
V1 mean se
Euclidean 0.04448320 0.04448320 0.0057280490
AHD 0.39392195 0.39392195 0.0239778778
HSD 0.29471326 0.29471326 0.0235701802
Bertoluzza 0.13227825 0.13227825 0.0005435969
DiffVal 0.10642905 0.10642905 0.0155895527
DiffAmb 0.10642905 0.10642905 0.0155895527
DiffEV 0.09920869 0.09920869 0.0004076977
DiffWidth 0.09920869 0.09920869 0.0004076977
$pmm
$pmm$nonFNNumbers
V1 mean se
2 2 0
$pmm$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.4764572 0.8220474 0.3658411 0.3344145 0.4996900 0.06161628
WMAE 0.2220853 0.4846516 0.7679275 0.4465536 0.4803045 0.04896568
MSE 0.4244940 1.1768928 0.2462377 0.2241885 0.5179532 0.15166913
WMSE 0.0777500 0.3004821 0.9442980 0.3520208 0.4186377 0.12277469
NRMSE 0.2826356 0.4436594 0.1886923 0.1911340 0.2765303 0.03570591
$pmm$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.38973455 -0.01886455 0.065167915 -0.04044042 -0.34596790
AbsDiffTrueImpMean 0.45411058 0.71803683 0.365841125 0.33441451 0.46810076
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84745236 -0.70483749 0.272772838 0.60447379 -0.16876080
AbsDiffGenImpMean 0.04541106 0.07180368 0.036584113 0.03344145 0.04681008
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.47577510 0.98043203 0.082078480 0.69908273 0.55934208
AbsDiffTrueImpSD 0.64309675 1.02218786 0.022080498 0.17906960 0.46660868
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.17200337 1.09709716 1.029429999 0.98671473 1.07131131
AbsDiffGenImpSD 0.06004519 0.13027112 0.004643813 0.03391652 0.05721916
se
TrueMean 0.060243497
ImpMean 0.215221897
AbsDiffTrueImpMean 0.083953281
GenMean 0.000000000
GenImpMean 0.015497840
AbsDiffGenImpMean 0.008395328
TrueSD 0.135483449
ImpSD 0.105849765
AbsDiffTrueImpSD 0.029961892
GenSD 0.000000000
GenImpSD 0.007478559
AbsDiffGenImpSD 0.009050626
$pmm$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6941251 0.6941251 0.031857232
true+res-anti 0.7613305 0.7613305 0.026758241
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6063418 0.6063418 0.008704821
imputed+res-anti 0.5723736 0.5723736 0.020283675
parts+avs-anti 0.7113858 0.7113858 0.051263083
parts+ms-anti 0.7609076 0.7609076 0.031586595
parts+res-anti 0.7660329 0.7660329 0.042121085
$pmm$fuzzyMeasures
V1 mean se
Euclidean 0.03021111 0.03021111 0.003034874
AHD 0.28464482 0.28464482 0.038273583
HSD 0.20907359 0.20907359 0.031447999
Bertoluzza 0.10076163 0.10076163 0.009100779
DiffVal 0.08055797 0.08055797 0.018905072
DiffAmb 0.08055797 0.08055797 0.018905072
DiffEV 0.07557122 0.07557122 0.006825584
DiffWidth 0.07557122 0.07557122 0.006825584
attr(,"class")
[1] "metComp"
Code
set.seed(123456)
MethodsComparison(trueData = testDF1, iterations = 2, percentage = 0.1,
verbose = FALSE)
Output
$dimp
$dimp$nonFNNumbers
V1 mean se
1 1 0
$dimp$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.21687283 0.4455456 1.5069736 0.11167709 0.5702673 0.02776636
WMAE 0.17612711 0.4779174 3.4849887 0.14775710 1.0716976 0.02729339
MSE 0.05816671 0.2380223 2.4355928 0.01317920 0.6862402 0.04014107
WMSE 0.04598928 0.4289299 12.4882316 0.02554648 3.2471743 0.31572934
NRMSE 0.10453666 0.1977038 0.7580186 0.05691153 0.2792926 0.01324942
$dimp$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.296921806 -0.25264640
ImpMean -1.62697229 0.37675460 -0.13790493 -0.354425112 -0.43563693
AbsDiffTrueImpMean 0.21687283 0.32241768 0.96631574 0.066162238 0.39294212
GenMean -0.89286341 -0.63303381 0.30935695 0.578825655 -0.15942865
GenImpMean -0.87117613 -0.66527557 0.25246555 0.573075324 -0.17772771
AbsDiffGenImpMean 0.02168728 0.03224177 0.09663157 0.006616224 0.03929421
TrueSD 1.11887185 2.00261989 0.10230236 0.878152324 1.02548661
ImpSD 0.98051631 1.91771336 1.27692222 0.925703535 1.27521385
AbsDiffTrueImpSD 0.13835554 0.32635020 1.17461986 0.093429820 0.43318886
GenSD 1.23204855 1.22736828 1.02518086 1.020631251 1.12630723
GenImpSD 1.21265939 1.18993314 1.12706609 1.023431295 1.13827248
AbsDiffGenImpSD 0.01938916 0.03743514 0.10188524 0.002800044 0.04037739
se
TrueMean 0.0602434974
ImpMean 0.2985856137
AbsDiffTrueImpMean 0.1531541674
GenMean 0.0000000000
GenImpMean 0.0238342116
AbsDiffGenImpMean 0.0153154167
TrueSD 0.1354834486
ImpSD 0.0174084628
AbsDiffTrueImpSD 0.1882334272
GenSD 0.0000000000
GenImpSD 0.0053251546
AbsDiffGenImpSD 0.0008473573
$dimp$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.049150012
true+ms-anti 0.6951272 0.6951272 0.023740407
true+res-anti 0.6338028 0.6338028 0.012827193
imputed+avs-anti 0.4051758 0.4051758 0.020699026
imputed+ms-anti 0.4708985 0.4708985 0.003987103
imputed+res-anti 0.5133078 0.5133078 0.028808994
parts+avs-anti 0.8134615 0.8134615 0.023446606
parts+ms-anti 0.7727174 0.7727174 0.023072861
parts+res-anti 0.7935622 0.7935622 0.044508444
$dimp$fuzzyMeasures
V1 mean se
Euclidean 0.0923471 0.0923471 0.03977684
AHD 0.4642569 0.4642569 0.13576607
HSD 0.3363756 0.3363756 0.10523932
Bertoluzza 0.1670894 0.1670894 0.03828474
DiffVal 0.1511283 0.1511283 0.03893445
DiffAmb 0.1536623 0.1536623 0.04072627
DiffEV 0.1240803 0.1240803 0.02783903
DiffWidth 0.1278813 0.1278813 0.03052675
$missForest
$missForest$nonFNNumbers
V1 mean se
1.5000000 1.5000000 0.3535534
$missForest$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.50507402 0.7745481 0.4661655 0.4998938 0.5614203 0.11236049
WMAE 0.23268231 0.4723440 1.1051971 0.6446895 0.6137282 0.09152441
MSE 0.59191386 0.9120216 0.2847556 0.2615484 0.5125598 0.14283866
WMSE 0.06969094 0.2519201 1.6630945 0.4519573 0.6091657 0.21432778
NRMSE 0.27663479 0.4110781 0.2304459 0.2533059 0.2928662 0.05921619
$missForest$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.33877111 0.01729868 0.032249638 0.20297197 -0.27156270
AbsDiffTrueImpMean 0.50507402 0.68187360 0.398759402 0.49989378 0.52140020
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84235601 -0.70122116 0.269481010 0.62881503 -0.16132028
AbsDiffGenImpMean 0.05050740 0.06818736 0.039875940 0.04998938 0.05214002
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.59712615 1.08317029 0.290814740 0.76258536 0.68342413
AbsDiffTrueImpSD 0.52174570 0.91944960 0.188512384 0.11556697 0.43631866
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.15842649 1.10005336 1.032690503 0.98259730 1.06844191
AbsDiffGenImpSD 0.07362206 0.12731492 0.007509645 0.03803395 0.06162014
se
TrueMean 0.0602434974
ImpMean 0.0633117440
AbsDiffTrueImpMean 0.1406590026
GenMean 0.0000000000
GenImpMean 0.0003068247
AbsDiffGenImpMean 0.0140659003
TrueSD 0.1354834486
ImpSD 0.0619656486
AbsDiffTrueImpSD 0.0324715319
GenSD 0.0000000000
GenImpSD 0.0087107707
AbsDiffGenImpSD 0.0104167749
$missForest$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6471081 0.6471081 0.01003962
true+res-anti 0.6968659 0.6968659 0.06565287
imputed+avs-anti 0.4980012 0.4980012 0.08212652
imputed+ms-anti 0.5254567 0.5254567 0.07616974
imputed+res-anti 0.5113635 0.5113635 0.06375165
parts+avs-anti 0.6872766 0.6872766 0.03421529
parts+ms-anti 0.7358638 0.7358638 0.03280561
parts+res-anti 0.7495245 0.7495245 0.02916225
$missForest$fuzzyMeasures
V1 mean se
Euclidean 0.02909747 0.02909747 0.01045791
AHD 0.32618412 0.32618412 0.07636216
HSD 0.23605253 0.23605253 0.05929187
Bertoluzza 0.12017545 0.12017545 0.02276038
DiffVal 0.09546725 0.09546725 0.02602419
DiffAmb 0.09546725 0.09546725 0.02602419
DiffEV 0.09013159 0.09013159 0.01707029
DiffWidth 0.09013159 0.09013159 0.01707029
$miceRanger
$miceRanger$nonFNNumbers
V1 mean se
2 2 0
$miceRanger$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.6727459 1.0245715 0.6797585 0.5344831 0.7278897 0.07770300
WMAE 0.2763539 0.5786063 1.6365744 0.7454369 0.8092429 0.01545126
MSE 0.9923483 1.7350588 0.5493717 0.3697497 0.9116321 0.18797263
WMSE 0.1211555 0.4239973 3.2913576 0.7501604 1.1466677 0.05855361
NRMSE 0.4045132 0.5667099 0.3542184 0.3034581 0.4072249 0.04706119
$miceRanger$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.29692181 -0.2526464
ImpMean -1.19344588 -0.22614784 -0.16389948 0.19642224 -0.3467677
AbsDiffTrueImpMean 0.65039925 0.92532013 0.59490851 0.49334405 0.6659930
GenMean -0.89286341 -0.63303381 0.30935695 0.57882565 -0.1594287
GenImpMean -0.82782349 -0.72556582 0.24986610 0.62816006 -0.1688408
AbsDiffGenImpMean 0.06503992 0.09253201 0.05949085 0.04933440 0.0665993
TrueSD 1.11887185 2.00261989 0.10230236 0.87815232 1.0254866
ImpSD 0.19818099 0.69401962 0.43518146 0.51363820 0.4602551
AbsDiffTrueImpSD 0.92069086 1.30860027 0.37098615 0.36451412 0.7411978
GenSD 1.23204855 1.22736828 1.02518086 1.02063125 1.1263072
GenImpSD 1.14661517 1.06882900 1.04305734 0.96325080 1.0554381
AbsDiffGenImpSD 0.08543339 0.15853928 0.01787649 0.05738045 0.0798074
se
TrueMean 0.060243497
ImpMean 0.096286948
AbsDiffTrueImpMean 0.106925769
GenMean 0.000000000
GenImpMean 0.003604345
AbsDiffGenImpMean 0.010692577
TrueSD 0.135483449
ImpSD 0.033414792
AbsDiffTrueImpSD 0.044471268
GenSD 0.000000000
GenImpSD 0.012182574
AbsDiffGenImpSD 0.012698439
$miceRanger$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6421789 0.6421789 0.020538654
true+res-anti 0.6892184 0.6892184 0.013584876
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6093115 0.6093115 0.001495358
imputed+res-anti 0.6317906 0.6317906 0.005785142
parts+avs-anti 0.7460179 0.7460179 0.075751630
parts+ms-anti 0.7608318 0.7608318 0.056067489
parts+res-anti 0.7665546 0.7665546 0.025919400
$miceRanger$fuzzyMeasures
V1 mean se
Euclidean 0.04551652 0.04551652 0.0039938825
AHD 0.39789921 0.39789921 0.0123137117
HSD 0.29657779 0.29657779 0.0115567946
Bertoluzza 0.13509523 0.13509523 0.0010092228
DiffVal 0.11616517 0.11616517 0.0114316359
DiffAmb 0.11616517 0.11616517 0.0114316359
DiffEV 0.10132142 0.10132142 0.0007569171
DiffWidth 0.10132142 0.10132142 0.0007569171
$knn
$knn$nonFNNumbers
V1 mean se
3.0000000 3.0000000 0.7071068
$knn$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.8547951 1.1441775 0.3968067 0.7352770 0.7827641 0.12891038
WMAE 0.3459249 0.7204759 0.9205403 0.9315421 0.7296208 0.05348817
MSE 1.4906995 1.9690315 0.2112630 0.7795371 1.1126328 0.30243477
WMSE 0.1592601 0.6002915 1.0899603 1.1262724 0.7439461 0.06337808
NRMSE 0.4680417 0.6014376 0.2144926 0.4407309 0.4311757 0.06509935
$knn$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.6991723 0.431009040 -0.29692181 -0.25264640
ImpMean -1.01139663 -0.3457538 0.048838800 0.39721612 -0.22777388
AbsDiffTrueImpMean 0.83244850 1.0449261 0.382170240 0.69413793 0.73842069
GenMean -0.89286341 -0.6330338 0.309356951 0.57882565 -0.15942865
GenImpMean -0.80961857 -0.7375264 0.271139926 0.64823945 -0.15694140
AbsDiffGenImpMean 0.08324485 0.1044926 0.038217024 0.06941379 0.07384207
TrueSD 1.11887185 2.0026199 0.102302356 0.87815232 1.02548661
ImpSD 0.18990961 0.7354049 0.188058287 0.35105450 0.36610682
AbsDiffTrueImpSD 0.92896224 1.2672150 0.248056269 0.52709783 0.74283283
GenSD 1.23204855 1.2273683 1.025180858 1.02063125 1.12630723
GenImpSD 1.13165558 1.0666061 1.029259536 0.94988996 1.04435278
AbsDiffGenImpSD 0.10039297 0.1607622 0.004078677 0.07074129 0.08399379
se
TrueMean 0.0602434974
ImpMean 0.0674292605
AbsDiffTrueImpMean 0.1457210333
GenMean 0.0000000000
GenImpMean 0.0007185763
AbsDiffGenImpMean 0.0145721033
TrueSD 0.1354834486
ImpSD 0.0296128972
AbsDiffTrueImpSD 0.1060861283
GenSD 0.0000000000
GenImpSD 0.0146718182
AbsDiffGenImpSD 0.0147450974
$knn$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6699425 0.6699425 0.03394186
true+res-anti 0.6852960 0.6852960 0.02190072
imputed+avs-anti 0.6000727 0.6000727 0.09338769
imputed+ms-anti 0.6500778 0.6500778 0.02820403
imputed+res-anti 0.6636806 0.6636806 0.04330884
parts+avs-anti 0.7419414 0.7419414 0.02965704
parts+ms-anti 0.8114100 0.8114100 0.01313569
parts+res-anti 0.7823130 0.7823130 0.01766331
$knn$fuzzyMeasures
V1 mean se
Euclidean 0.04448320 0.04448320 0.0057280490
AHD 0.39392195 0.39392195 0.0239778778
HSD 0.29471326 0.29471326 0.0235701802
Bertoluzza 0.13227825 0.13227825 0.0005435969
DiffVal 0.10642905 0.10642905 0.0155895527
DiffAmb 0.10642905 0.10642905 0.0155895527
DiffEV 0.09920869 0.09920869 0.0004076977
DiffWidth 0.09920869 0.09920869 0.0004076977
$pmm
$pmm$nonFNNumbers
V1 mean se
2 2 0
$pmm$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.4764572 0.8220474 0.3658411 0.3344145 0.4996900 0.06161628
WMAE 0.2220853 0.4846516 0.7679275 0.4465536 0.4803045 0.04896568
MSE 0.4244940 1.1768928 0.2462377 0.2241885 0.5179532 0.15166913
WMSE 0.0777500 0.3004821 0.9442980 0.3520208 0.4186377 0.12277469
NRMSE 0.2826356 0.4436594 0.1886923 0.1911340 0.2765303 0.03570591
$pmm$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.38973455 -0.01886455 0.065167915 -0.04044042 -0.34596790
AbsDiffTrueImpMean 0.45411058 0.71803683 0.365841125 0.33441451 0.46810076
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84745236 -0.70483749 0.272772838 0.60447379 -0.16876080
AbsDiffGenImpMean 0.04541106 0.07180368 0.036584113 0.03344145 0.04681008
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.47577510 0.98043203 0.082078480 0.69908273 0.55934208
AbsDiffTrueImpSD 0.64309675 1.02218786 0.022080498 0.17906960 0.46660868
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.17200337 1.09709716 1.029429999 0.98671473 1.07131131
AbsDiffGenImpSD 0.06004519 0.13027112 0.004643813 0.03391652 0.05721916
se
TrueMean 0.060243497
ImpMean 0.215221897
AbsDiffTrueImpMean 0.083953281
GenMean 0.000000000
GenImpMean 0.015497840
AbsDiffGenImpMean 0.008395328
TrueSD 0.135483449
ImpSD 0.105849765
AbsDiffTrueImpSD 0.029961892
GenSD 0.000000000
GenImpSD 0.007478559
AbsDiffGenImpSD 0.009050626
$pmm$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6941251 0.6941251 0.031857232
true+res-anti 0.7613305 0.7613305 0.026758241
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6063418 0.6063418 0.008704821
imputed+res-anti 0.5723736 0.5723736 0.020283675
parts+avs-anti 0.7113858 0.7113858 0.051263083
parts+ms-anti 0.7609076 0.7609076 0.031586595
parts+res-anti 0.7660329 0.7660329 0.042121085
$pmm$fuzzyMeasures
V1 mean se
Euclidean 0.03021111 0.03021111 0.003034874
AHD 0.28464482 0.28464482 0.038273583
HSD 0.20907359 0.20907359 0.031447999
Bertoluzza 0.10076163 0.10076163 0.009100779
DiffVal 0.08055797 0.08055797 0.018905072
DiffAmb 0.08055797 0.08055797 0.018905072
DiffEV 0.07557122 0.07557122 0.006825584
DiffWidth 0.07557122 0.07557122 0.006825584
attr(,"class")
[1] "metComp"
Code
set.seed(123456)
MethodsComparison(trueData = testList1, iterations = 2, percentage = 0.1,
verbose = FALSE)
Output
$dimp
$dimp$nonFNNumbers
V1 mean se
1 1 0
$dimp$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.21687283 0.4455456 1.5069736 0.11167709 0.5702673 0.02776636
WMAE 0.17612711 0.4779174 3.4849887 0.14775710 1.0716976 0.02729339
MSE 0.05816671 0.2380223 2.4355928 0.01317920 0.6862402 0.04014107
WMSE 0.04598928 0.4289299 12.4882316 0.02554648 3.2471743 0.31572934
NRMSE 0.10453666 0.1977038 0.7580186 0.05691153 0.2792926 0.01324942
$dimp$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.296921806 -0.25264640
ImpMean -1.62697229 0.37675460 -0.13790493 -0.354425112 -0.43563693
AbsDiffTrueImpMean 0.21687283 0.32241768 0.96631574 0.066162238 0.39294212
GenMean -0.89286341 -0.63303381 0.30935695 0.578825655 -0.15942865
GenImpMean -0.87117613 -0.66527557 0.25246555 0.573075324 -0.17772771
AbsDiffGenImpMean 0.02168728 0.03224177 0.09663157 0.006616224 0.03929421
TrueSD 1.11887185 2.00261989 0.10230236 0.878152324 1.02548661
ImpSD 0.98051631 1.91771336 1.27692222 0.925703535 1.27521385
AbsDiffTrueImpSD 0.13835554 0.32635020 1.17461986 0.093429820 0.43318886
GenSD 1.23204855 1.22736828 1.02518086 1.020631251 1.12630723
GenImpSD 1.21265939 1.18993314 1.12706609 1.023431295 1.13827248
AbsDiffGenImpSD 0.01938916 0.03743514 0.10188524 0.002800044 0.04037739
se
TrueMean 0.0602434974
ImpMean 0.2985856137
AbsDiffTrueImpMean 0.1531541674
GenMean 0.0000000000
GenImpMean 0.0238342116
AbsDiffGenImpMean 0.0153154167
TrueSD 0.1354834486
ImpSD 0.0174084628
AbsDiffTrueImpSD 0.1882334272
GenSD 0.0000000000
GenImpSD 0.0053251546
AbsDiffGenImpSD 0.0008473573
$dimp$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.049150012
true+ms-anti 0.6951272 0.6951272 0.023740407
true+res-anti 0.6338028 0.6338028 0.012827193
imputed+avs-anti 0.4051758 0.4051758 0.020699026
imputed+ms-anti 0.4708985 0.4708985 0.003987103
imputed+res-anti 0.5133078 0.5133078 0.028808994
parts+avs-anti 0.8134615 0.8134615 0.023446606
parts+ms-anti 0.7727174 0.7727174 0.023072861
parts+res-anti 0.7935622 0.7935622 0.044508444
$dimp$fuzzyMeasures
V1 mean se
Euclidean 0.0923471 0.0923471 0.03977684
AHD 0.4642569 0.4642569 0.13576607
HSD 0.3363756 0.3363756 0.10523932
Bertoluzza 0.1670894 0.1670894 0.03828474
DiffVal 0.1511283 0.1511283 0.03893445
DiffAmb 0.1536623 0.1536623 0.04072627
DiffEV 0.1240803 0.1240803 0.02783903
DiffWidth 0.1278813 0.1278813 0.03052675
$missForest
$missForest$nonFNNumbers
V1 mean se
1.5000000 1.5000000 0.3535534
$missForest$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.50507402 0.7745481 0.4661655 0.4998938 0.5614203 0.11236049
WMAE 0.23268231 0.4723440 1.1051971 0.6446895 0.6137282 0.09152441
MSE 0.59191386 0.9120216 0.2847556 0.2615484 0.5125598 0.14283866
WMSE 0.06969094 0.2519201 1.6630945 0.4519573 0.6091657 0.21432778
NRMSE 0.27663479 0.4110781 0.2304459 0.2533059 0.2928662 0.05921619
$missForest$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.33877111 0.01729868 0.032249638 0.20297197 -0.27156270
AbsDiffTrueImpMean 0.50507402 0.68187360 0.398759402 0.49989378 0.52140020
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84235601 -0.70122116 0.269481010 0.62881503 -0.16132028
AbsDiffGenImpMean 0.05050740 0.06818736 0.039875940 0.04998938 0.05214002
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.59712615 1.08317029 0.290814740 0.76258536 0.68342413
AbsDiffTrueImpSD 0.52174570 0.91944960 0.188512384 0.11556697 0.43631866
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.15842649 1.10005336 1.032690503 0.98259730 1.06844191
AbsDiffGenImpSD 0.07362206 0.12731492 0.007509645 0.03803395 0.06162014
se
TrueMean 0.0602434974
ImpMean 0.0633117440
AbsDiffTrueImpMean 0.1406590026
GenMean 0.0000000000
GenImpMean 0.0003068247
AbsDiffGenImpMean 0.0140659003
TrueSD 0.1354834486
ImpSD 0.0619656486
AbsDiffTrueImpSD 0.0324715319
GenSD 0.0000000000
GenImpSD 0.0087107707
AbsDiffGenImpSD 0.0104167749
$missForest$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6471081 0.6471081 0.01003962
true+res-anti 0.6968659 0.6968659 0.06565287
imputed+avs-anti 0.4980012 0.4980012 0.08212652
imputed+ms-anti 0.5254567 0.5254567 0.07616974
imputed+res-anti 0.5113635 0.5113635 0.06375165
parts+avs-anti 0.6872766 0.6872766 0.03421529
parts+ms-anti 0.7358638 0.7358638 0.03280561
parts+res-anti 0.7495245 0.7495245 0.02916225
$missForest$fuzzyMeasures
V1 mean se
Euclidean 0.02909747 0.02909747 0.01045791
AHD 0.32618412 0.32618412 0.07636216
HSD 0.23605253 0.23605253 0.05929187
Bertoluzza 0.12017545 0.12017545 0.02276038
DiffVal 0.09546725 0.09546725 0.02602419
DiffAmb 0.09546725 0.09546725 0.02602419
DiffEV 0.09013159 0.09013159 0.01707029
DiffWidth 0.09013159 0.09013159 0.01707029
$miceRanger
$miceRanger$nonFNNumbers
V1 mean se
2 2 0
$miceRanger$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.6727459 1.0245715 0.6797585 0.5344831 0.7278897 0.07770300
WMAE 0.2763539 0.5786063 1.6365744 0.7454369 0.8092429 0.01545126
MSE 0.9923483 1.7350588 0.5493717 0.3697497 0.9116321 0.18797263
WMSE 0.1211555 0.4239973 3.2913576 0.7501604 1.1466677 0.05855361
NRMSE 0.4045132 0.5667099 0.3542184 0.3034581 0.4072249 0.04706119
$miceRanger$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.29692181 -0.2526464
ImpMean -1.19344588 -0.22614784 -0.16389948 0.19642224 -0.3467677
AbsDiffTrueImpMean 0.65039925 0.92532013 0.59490851 0.49334405 0.6659930
GenMean -0.89286341 -0.63303381 0.30935695 0.57882565 -0.1594287
GenImpMean -0.82782349 -0.72556582 0.24986610 0.62816006 -0.1688408
AbsDiffGenImpMean 0.06503992 0.09253201 0.05949085 0.04933440 0.0665993
TrueSD 1.11887185 2.00261989 0.10230236 0.87815232 1.0254866
ImpSD 0.19818099 0.69401962 0.43518146 0.51363820 0.4602551
AbsDiffTrueImpSD 0.92069086 1.30860027 0.37098615 0.36451412 0.7411978
GenSD 1.23204855 1.22736828 1.02518086 1.02063125 1.1263072
GenImpSD 1.14661517 1.06882900 1.04305734 0.96325080 1.0554381
AbsDiffGenImpSD 0.08543339 0.15853928 0.01787649 0.05738045 0.0798074
se
TrueMean 0.060243497
ImpMean 0.096286948
AbsDiffTrueImpMean 0.106925769
GenMean 0.000000000
GenImpMean 0.003604345
AbsDiffGenImpMean 0.010692577
TrueSD 0.135483449
ImpSD 0.033414792
AbsDiffTrueImpSD 0.044471268
GenSD 0.000000000
GenImpSD 0.012182574
AbsDiffGenImpSD 0.012698439
$miceRanger$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6421789 0.6421789 0.020538654
true+res-anti 0.6892184 0.6892184 0.013584876
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6093115 0.6093115 0.001495358
imputed+res-anti 0.6317906 0.6317906 0.005785142
parts+avs-anti 0.7460179 0.7460179 0.075751630
parts+ms-anti 0.7608318 0.7608318 0.056067489
parts+res-anti 0.7665546 0.7665546 0.025919400
$miceRanger$fuzzyMeasures
V1 mean se
Euclidean 0.04551652 0.04551652 0.0039938825
AHD 0.39789921 0.39789921 0.0123137117
HSD 0.29657779 0.29657779 0.0115567946
Bertoluzza 0.13509523 0.13509523 0.0010092228
DiffVal 0.11616517 0.11616517 0.0114316359
DiffAmb 0.11616517 0.11616517 0.0114316359
DiffEV 0.10132142 0.10132142 0.0007569171
DiffWidth 0.10132142 0.10132142 0.0007569171
$knn
$knn$nonFNNumbers
V1 mean se
3.0000000 3.0000000 0.7071068
$knn$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.8547951 1.1441775 0.3968067 0.7352770 0.7827641 0.12891038
WMAE 0.3459249 0.7204759 0.9205403 0.9315421 0.7296208 0.05348817
MSE 1.4906995 1.9690315 0.2112630 0.7795371 1.1126328 0.30243477
WMSE 0.1592601 0.6002915 1.0899603 1.1262724 0.7439461 0.06337808
NRMSE 0.4680417 0.6014376 0.2144926 0.4407309 0.4311757 0.06509935
$knn$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.6991723 0.431009040 -0.29692181 -0.25264640
ImpMean -1.01139663 -0.3457538 0.048838800 0.39721612 -0.22777388
AbsDiffTrueImpMean 0.83244850 1.0449261 0.382170240 0.69413793 0.73842069
GenMean -0.89286341 -0.6330338 0.309356951 0.57882565 -0.15942865
GenImpMean -0.80961857 -0.7375264 0.271139926 0.64823945 -0.15694140
AbsDiffGenImpMean 0.08324485 0.1044926 0.038217024 0.06941379 0.07384207
TrueSD 1.11887185 2.0026199 0.102302356 0.87815232 1.02548661
ImpSD 0.18990961 0.7354049 0.188058287 0.35105450 0.36610682
AbsDiffTrueImpSD 0.92896224 1.2672150 0.248056269 0.52709783 0.74283283
GenSD 1.23204855 1.2273683 1.025180858 1.02063125 1.12630723
GenImpSD 1.13165558 1.0666061 1.029259536 0.94988996 1.04435278
AbsDiffGenImpSD 0.10039297 0.1607622 0.004078677 0.07074129 0.08399379
se
TrueMean 0.0602434974
ImpMean 0.0674292605
AbsDiffTrueImpMean 0.1457210333
GenMean 0.0000000000
GenImpMean 0.0007185763
AbsDiffGenImpMean 0.0145721033
TrueSD 0.1354834486
ImpSD 0.0296128972
AbsDiffTrueImpSD 0.1060861283
GenSD 0.0000000000
GenImpSD 0.0146718182
AbsDiffGenImpSD 0.0147450974
$knn$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6699425 0.6699425 0.03394186
true+res-anti 0.6852960 0.6852960 0.02190072
imputed+avs-anti 0.6000727 0.6000727 0.09338769
imputed+ms-anti 0.6500778 0.6500778 0.02820403
imputed+res-anti 0.6636806 0.6636806 0.04330884
parts+avs-anti 0.7419414 0.7419414 0.02965704
parts+ms-anti 0.8114100 0.8114100 0.01313569
parts+res-anti 0.7823130 0.7823130 0.01766331
$knn$fuzzyMeasures
V1 mean se
Euclidean 0.04448320 0.04448320 0.0057280490
AHD 0.39392195 0.39392195 0.0239778778
HSD 0.29471326 0.29471326 0.0235701802
Bertoluzza 0.13227825 0.13227825 0.0005435969
DiffVal 0.10642905 0.10642905 0.0155895527
DiffAmb 0.10642905 0.10642905 0.0155895527
DiffEV 0.09920869 0.09920869 0.0004076977
DiffWidth 0.09920869 0.09920869 0.0004076977
$pmm
$pmm$nonFNNumbers
V1 mean se
2 2 0
$pmm$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.4764572 0.8220474 0.3658411 0.3344145 0.4996900 0.06161628
WMAE 0.2220853 0.4846516 0.7679275 0.4465536 0.4803045 0.04896568
MSE 0.4244940 1.1768928 0.2462377 0.2241885 0.5179532 0.15166913
WMSE 0.0777500 0.3004821 0.9442980 0.3520208 0.4186377 0.12277469
NRMSE 0.2826356 0.4436594 0.1886923 0.1911340 0.2765303 0.03570591
$pmm$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.38973455 -0.01886455 0.065167915 -0.04044042 -0.34596790
AbsDiffTrueImpMean 0.45411058 0.71803683 0.365841125 0.33441451 0.46810076
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84745236 -0.70483749 0.272772838 0.60447379 -0.16876080
AbsDiffGenImpMean 0.04541106 0.07180368 0.036584113 0.03344145 0.04681008
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.47577510 0.98043203 0.082078480 0.69908273 0.55934208
AbsDiffTrueImpSD 0.64309675 1.02218786 0.022080498 0.17906960 0.46660868
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.17200337 1.09709716 1.029429999 0.98671473 1.07131131
AbsDiffGenImpSD 0.06004519 0.13027112 0.004643813 0.03391652 0.05721916
se
TrueMean 0.060243497
ImpMean 0.215221897
AbsDiffTrueImpMean 0.083953281
GenMean 0.000000000
GenImpMean 0.015497840
AbsDiffGenImpMean 0.008395328
TrueSD 0.135483449
ImpSD 0.105849765
AbsDiffTrueImpSD 0.029961892
GenSD 0.000000000
GenImpSD 0.007478559
AbsDiffGenImpSD 0.009050626
$pmm$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6941251 0.6941251 0.031857232
true+res-anti 0.7613305 0.7613305 0.026758241
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6063418 0.6063418 0.008704821
imputed+res-anti 0.5723736 0.5723736 0.020283675
parts+avs-anti 0.7113858 0.7113858 0.051263083
parts+ms-anti 0.7609076 0.7609076 0.031586595
parts+res-anti 0.7660329 0.7660329 0.042121085
$pmm$fuzzyMeasures
V1 mean se
Euclidean 0.03021111 0.03021111 0.003034874
AHD 0.28464482 0.28464482 0.038273583
HSD 0.20907359 0.20907359 0.031447999
Bertoluzza 0.10076163 0.10076163 0.009100779
DiffVal 0.08055797 0.08055797 0.018905072
DiffAmb 0.08055797 0.08055797 0.018905072
DiffEV 0.07557122 0.07557122 0.006825584
DiffWidth 0.07557122 0.07557122 0.006825584
attr(,"class")
[1] "metComp"
Try the FuzzyImputationTest package in your browser
Any scripts or data that you put into this service are public.
FuzzyImputationTest documentation built on April 3, 2025, 9:23 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Function returns correct values
Code
set.seed(123456)
MethodsComparison(trueData = testMatrix1, iterations = 2, percentage = 0.1,
verbose = FALSE)
Output
$dimp
$dimp$nonFNNumbers
V1 mean se
1 1 0
$dimp$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.21687283 0.4455456 1.5069736 0.11167709 0.5702673 0.02776636
WMAE 0.17612711 0.4779174 3.4849887 0.14775710 1.0716976 0.02729339
MSE 0.05816671 0.2380223 2.4355928 0.01317920 0.6862402 0.04014107
WMSE 0.04598928 0.4289299 12.4882316 0.02554648 3.2471743 0.31572934
NRMSE 0.10453666 0.1977038 0.7580186 0.05691153 0.2792926 0.01324942
$dimp$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.296921806 -0.25264640
ImpMean -1.62697229 0.37675460 -0.13790493 -0.354425112 -0.43563693
AbsDiffTrueImpMean 0.21687283 0.32241768 0.96631574 0.066162238 0.39294212
GenMean -0.89286341 -0.63303381 0.30935695 0.578825655 -0.15942865
GenImpMean -0.87117613 -0.66527557 0.25246555 0.573075324 -0.17772771
AbsDiffGenImpMean 0.02168728 0.03224177 0.09663157 0.006616224 0.03929421
TrueSD 1.11887185 2.00261989 0.10230236 0.878152324 1.02548661
ImpSD 0.98051631 1.91771336 1.27692222 0.925703535 1.27521385
AbsDiffTrueImpSD 0.13835554 0.32635020 1.17461986 0.093429820 0.43318886
GenSD 1.23204855 1.22736828 1.02518086 1.020631251 1.12630723
GenImpSD 1.21265939 1.18993314 1.12706609 1.023431295 1.13827248
AbsDiffGenImpSD 0.01938916 0.03743514 0.10188524 0.002800044 0.04037739
se
TrueMean 0.0602434974
ImpMean 0.2985856137
AbsDiffTrueImpMean 0.1531541674
GenMean 0.0000000000
GenImpMean 0.0238342116
AbsDiffGenImpMean 0.0153154167
TrueSD 0.1354834486
ImpSD 0.0174084628
AbsDiffTrueImpSD 0.1882334272
GenSD 0.0000000000
GenImpSD 0.0053251546
AbsDiffGenImpSD 0.0008473573
$dimp$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.049150012
true+ms-anti 0.6951272 0.6951272 0.023740407
true+res-anti 0.6338028 0.6338028 0.012827193
imputed+avs-anti 0.4051758 0.4051758 0.020699026
imputed+ms-anti 0.4708985 0.4708985 0.003987103
imputed+res-anti 0.5133078 0.5133078 0.028808994
parts+avs-anti 0.8134615 0.8134615 0.023446606
parts+ms-anti 0.7727174 0.7727174 0.023072861
parts+res-anti 0.7935622 0.7935622 0.044508444
$dimp$fuzzyMeasures
V1 mean se
Euclidean 0.0923471 0.0923471 0.03977684
AHD 0.4642569 0.4642569 0.13576607
HSD 0.3363756 0.3363756 0.10523932
Bertoluzza 0.1670894 0.1670894 0.03828474
DiffVal 0.1511283 0.1511283 0.03893445
DiffAmb 0.1536623 0.1536623 0.04072627
DiffEV 0.1240803 0.1240803 0.02783903
DiffWidth 0.1278813 0.1278813 0.03052675
$missForest
$missForest$nonFNNumbers
V1 mean se
1.5000000 1.5000000 0.3535534
$missForest$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.50507402 0.7745481 0.4661655 0.4998938 0.5614203 0.11236049
WMAE 0.23268231 0.4723440 1.1051971 0.6446895 0.6137282 0.09152441
MSE 0.59191386 0.9120216 0.2847556 0.2615484 0.5125598 0.14283866
WMSE 0.06969094 0.2519201 1.6630945 0.4519573 0.6091657 0.21432778
NRMSE 0.27663479 0.4110781 0.2304459 0.2533059 0.2928662 0.05921619
$missForest$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.33877111 0.01729868 0.032249638 0.20297197 -0.27156270
AbsDiffTrueImpMean 0.50507402 0.68187360 0.398759402 0.49989378 0.52140020
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84235601 -0.70122116 0.269481010 0.62881503 -0.16132028
AbsDiffGenImpMean 0.05050740 0.06818736 0.039875940 0.04998938 0.05214002
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.59712615 1.08317029 0.290814740 0.76258536 0.68342413
AbsDiffTrueImpSD 0.52174570 0.91944960 0.188512384 0.11556697 0.43631866
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.15842649 1.10005336 1.032690503 0.98259730 1.06844191
AbsDiffGenImpSD 0.07362206 0.12731492 0.007509645 0.03803395 0.06162014
se
TrueMean 0.0602434974
ImpMean 0.0633117440
AbsDiffTrueImpMean 0.1406590026
GenMean 0.0000000000
GenImpMean 0.0003068247
AbsDiffGenImpMean 0.0140659003
TrueSD 0.1354834486
ImpSD 0.0619656486
AbsDiffTrueImpSD 0.0324715319
GenSD 0.0000000000
GenImpSD 0.0087107707
AbsDiffGenImpSD 0.0104167749
$missForest$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6471081 0.6471081 0.01003962
true+res-anti 0.6968659 0.6968659 0.06565287
imputed+avs-anti 0.4980012 0.4980012 0.08212652
imputed+ms-anti 0.5254567 0.5254567 0.07616974
imputed+res-anti 0.5113635 0.5113635 0.06375165
parts+avs-anti 0.6872766 0.6872766 0.03421529
parts+ms-anti 0.7358638 0.7358638 0.03280561
parts+res-anti 0.7495245 0.7495245 0.02916225
$missForest$fuzzyMeasures
V1 mean se
Euclidean 0.02909747 0.02909747 0.01045791
AHD 0.32618412 0.32618412 0.07636216
HSD 0.23605253 0.23605253 0.05929187
Bertoluzza 0.12017545 0.12017545 0.02276038
DiffVal 0.09546725 0.09546725 0.02602419
DiffAmb 0.09546725 0.09546725 0.02602419
DiffEV 0.09013159 0.09013159 0.01707029
DiffWidth 0.09013159 0.09013159 0.01707029
$miceRanger
$miceRanger$nonFNNumbers
V1 mean se
2 2 0
$miceRanger$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.6727459 1.0245715 0.6797585 0.5344831 0.7278897 0.07770300
WMAE 0.2763539 0.5786063 1.6365744 0.7454369 0.8092429 0.01545126
MSE 0.9923483 1.7350588 0.5493717 0.3697497 0.9116321 0.18797263
WMSE 0.1211555 0.4239973 3.2913576 0.7501604 1.1466677 0.05855361
NRMSE 0.4045132 0.5667099 0.3542184 0.3034581 0.4072249 0.04706119
$miceRanger$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.29692181 -0.2526464
ImpMean -1.19344588 -0.22614784 -0.16389948 0.19642224 -0.3467677
AbsDiffTrueImpMean 0.65039925 0.92532013 0.59490851 0.49334405 0.6659930
GenMean -0.89286341 -0.63303381 0.30935695 0.57882565 -0.1594287
GenImpMean -0.82782349 -0.72556582 0.24986610 0.62816006 -0.1688408
AbsDiffGenImpMean 0.06503992 0.09253201 0.05949085 0.04933440 0.0665993
TrueSD 1.11887185 2.00261989 0.10230236 0.87815232 1.0254866
ImpSD 0.19818099 0.69401962 0.43518146 0.51363820 0.4602551
AbsDiffTrueImpSD 0.92069086 1.30860027 0.37098615 0.36451412 0.7411978
GenSD 1.23204855 1.22736828 1.02518086 1.02063125 1.1263072
GenImpSD 1.14661517 1.06882900 1.04305734 0.96325080 1.0554381
AbsDiffGenImpSD 0.08543339 0.15853928 0.01787649 0.05738045 0.0798074
se
TrueMean 0.060243497
ImpMean 0.096286948
AbsDiffTrueImpMean 0.106925769
GenMean 0.000000000
GenImpMean 0.003604345
AbsDiffGenImpMean 0.010692577
TrueSD 0.135483449
ImpSD 0.033414792
AbsDiffTrueImpSD 0.044471268
GenSD 0.000000000
GenImpSD 0.012182574
AbsDiffGenImpSD 0.012698439
$miceRanger$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6421789 0.6421789 0.020538654
true+res-anti 0.6892184 0.6892184 0.013584876
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6093115 0.6093115 0.001495358
imputed+res-anti 0.6317906 0.6317906 0.005785142
parts+avs-anti 0.7460179 0.7460179 0.075751630
parts+ms-anti 0.7608318 0.7608318 0.056067489
parts+res-anti 0.7665546 0.7665546 0.025919400
$miceRanger$fuzzyMeasures
V1 mean se
Euclidean 0.04551652 0.04551652 0.0039938825
AHD 0.39789921 0.39789921 0.0123137117
HSD 0.29657779 0.29657779 0.0115567946
Bertoluzza 0.13509523 0.13509523 0.0010092228
DiffVal 0.11616517 0.11616517 0.0114316359
DiffAmb 0.11616517 0.11616517 0.0114316359
DiffEV 0.10132142 0.10132142 0.0007569171
DiffWidth 0.10132142 0.10132142 0.0007569171
$knn
$knn$nonFNNumbers
V1 mean se
3.0000000 3.0000000 0.7071068
$knn$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.8547951 1.1441775 0.3968067 0.7352770 0.7827641 0.12891038
WMAE 0.3459249 0.7204759 0.9205403 0.9315421 0.7296208 0.05348817
MSE 1.4906995 1.9690315 0.2112630 0.7795371 1.1126328 0.30243477
WMSE 0.1592601 0.6002915 1.0899603 1.1262724 0.7439461 0.06337808
NRMSE 0.4680417 0.6014376 0.2144926 0.4407309 0.4311757 0.06509935
$knn$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.6991723 0.431009040 -0.29692181 -0.25264640
ImpMean -1.01139663 -0.3457538 0.048838800 0.39721612 -0.22777388
AbsDiffTrueImpMean 0.83244850 1.0449261 0.382170240 0.69413793 0.73842069
GenMean -0.89286341 -0.6330338 0.309356951 0.57882565 -0.15942865
GenImpMean -0.80961857 -0.7375264 0.271139926 0.64823945 -0.15694140
AbsDiffGenImpMean 0.08324485 0.1044926 0.038217024 0.06941379 0.07384207
TrueSD 1.11887185 2.0026199 0.102302356 0.87815232 1.02548661
ImpSD 0.18990961 0.7354049 0.188058287 0.35105450 0.36610682
AbsDiffTrueImpSD 0.92896224 1.2672150 0.248056269 0.52709783 0.74283283
GenSD 1.23204855 1.2273683 1.025180858 1.02063125 1.12630723
GenImpSD 1.13165558 1.0666061 1.029259536 0.94988996 1.04435278
AbsDiffGenImpSD 0.10039297 0.1607622 0.004078677 0.07074129 0.08399379
se
TrueMean 0.0602434974
ImpMean 0.0674292605
AbsDiffTrueImpMean 0.1457210333
GenMean 0.0000000000
GenImpMean 0.0007185763
AbsDiffGenImpMean 0.0145721033
TrueSD 0.1354834486
ImpSD 0.0296128972
AbsDiffTrueImpSD 0.1060861283
GenSD 0.0000000000
GenImpSD 0.0146718182
AbsDiffGenImpSD 0.0147450974
$knn$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6699425 0.6699425 0.03394186
true+res-anti 0.6852960 0.6852960 0.02190072
imputed+avs-anti 0.6000727 0.6000727 0.09338769
imputed+ms-anti 0.6500778 0.6500778 0.02820403
imputed+res-anti 0.6636806 0.6636806 0.04330884
parts+avs-anti 0.7419414 0.7419414 0.02965704
parts+ms-anti 0.8114100 0.8114100 0.01313569
parts+res-anti 0.7823130 0.7823130 0.01766331
$knn$fuzzyMeasures
V1 mean se
Euclidean 0.04448320 0.04448320 0.0057280490
AHD 0.39392195 0.39392195 0.0239778778
HSD 0.29471326 0.29471326 0.0235701802
Bertoluzza 0.13227825 0.13227825 0.0005435969
DiffVal 0.10642905 0.10642905 0.0155895527
DiffAmb 0.10642905 0.10642905 0.0155895527
DiffEV 0.09920869 0.09920869 0.0004076977
DiffWidth 0.09920869 0.09920869 0.0004076977
$pmm
$pmm$nonFNNumbers
V1 mean se
2 2 0
$pmm$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.4764572 0.8220474 0.3658411 0.3344145 0.4996900 0.06161628
WMAE 0.2220853 0.4846516 0.7679275 0.4465536 0.4803045 0.04896568
MSE 0.4244940 1.1768928 0.2462377 0.2241885 0.5179532 0.15166913
WMSE 0.0777500 0.3004821 0.9442980 0.3520208 0.4186377 0.12277469
NRMSE 0.2826356 0.4436594 0.1886923 0.1911340 0.2765303 0.03570591
$pmm$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.38973455 -0.01886455 0.065167915 -0.04044042 -0.34596790
AbsDiffTrueImpMean 0.45411058 0.71803683 0.365841125 0.33441451 0.46810076
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84745236 -0.70483749 0.272772838 0.60447379 -0.16876080
AbsDiffGenImpMean 0.04541106 0.07180368 0.036584113 0.03344145 0.04681008
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.47577510 0.98043203 0.082078480 0.69908273 0.55934208
AbsDiffTrueImpSD 0.64309675 1.02218786 0.022080498 0.17906960 0.46660868
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.17200337 1.09709716 1.029429999 0.98671473 1.07131131
AbsDiffGenImpSD 0.06004519 0.13027112 0.004643813 0.03391652 0.05721916
se
TrueMean 0.060243497
ImpMean 0.215221897
AbsDiffTrueImpMean 0.083953281
GenMean 0.000000000
GenImpMean 0.015497840
AbsDiffGenImpMean 0.008395328
TrueSD 0.135483449
ImpSD 0.105849765
AbsDiffTrueImpSD 0.029961892
GenSD 0.000000000
GenImpSD 0.007478559
AbsDiffGenImpSD 0.009050626
$pmm$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6941251 0.6941251 0.031857232
true+res-anti 0.7613305 0.7613305 0.026758241
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6063418 0.6063418 0.008704821
imputed+res-anti 0.5723736 0.5723736 0.020283675
parts+avs-anti 0.7113858 0.7113858 0.051263083
parts+ms-anti 0.7609076 0.7609076 0.031586595
parts+res-anti 0.7660329 0.7660329 0.042121085
$pmm$fuzzyMeasures
V1 mean se
Euclidean 0.03021111 0.03021111 0.003034874
AHD 0.28464482 0.28464482 0.038273583
HSD 0.20907359 0.20907359 0.031447999
Bertoluzza 0.10076163 0.10076163 0.009100779
DiffVal 0.08055797 0.08055797 0.018905072
DiffAmb 0.08055797 0.08055797 0.018905072
DiffEV 0.07557122 0.07557122 0.006825584
DiffWidth 0.07557122 0.07557122 0.006825584
attr(,"class")
[1] "metComp"
Code
set.seed(123456)
MethodsComparison(trueData = testDF1, iterations = 2, percentage = 0.1,
verbose = FALSE)
Output
$dimp
$dimp$nonFNNumbers
V1 mean se
1 1 0
$dimp$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.21687283 0.4455456 1.5069736 0.11167709 0.5702673 0.02776636
WMAE 0.17612711 0.4779174 3.4849887 0.14775710 1.0716976 0.02729339
MSE 0.05816671 0.2380223 2.4355928 0.01317920 0.6862402 0.04014107
WMSE 0.04598928 0.4289299 12.4882316 0.02554648 3.2471743 0.31572934
NRMSE 0.10453666 0.1977038 0.7580186 0.05691153 0.2792926 0.01324942
$dimp$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.296921806 -0.25264640
ImpMean -1.62697229 0.37675460 -0.13790493 -0.354425112 -0.43563693
AbsDiffTrueImpMean 0.21687283 0.32241768 0.96631574 0.066162238 0.39294212
GenMean -0.89286341 -0.63303381 0.30935695 0.578825655 -0.15942865
GenImpMean -0.87117613 -0.66527557 0.25246555 0.573075324 -0.17772771
AbsDiffGenImpMean 0.02168728 0.03224177 0.09663157 0.006616224 0.03929421
TrueSD 1.11887185 2.00261989 0.10230236 0.878152324 1.02548661
ImpSD 0.98051631 1.91771336 1.27692222 0.925703535 1.27521385
AbsDiffTrueImpSD 0.13835554 0.32635020 1.17461986 0.093429820 0.43318886
GenSD 1.23204855 1.22736828 1.02518086 1.020631251 1.12630723
GenImpSD 1.21265939 1.18993314 1.12706609 1.023431295 1.13827248
AbsDiffGenImpSD 0.01938916 0.03743514 0.10188524 0.002800044 0.04037739
se
TrueMean 0.0602434974
ImpMean 0.2985856137
AbsDiffTrueImpMean 0.1531541674
GenMean 0.0000000000
GenImpMean 0.0238342116
AbsDiffGenImpMean 0.0153154167
TrueSD 0.1354834486
ImpSD 0.0174084628
AbsDiffTrueImpSD 0.1882334272
GenSD 0.0000000000
GenImpSD 0.0053251546
AbsDiffGenImpSD 0.0008473573
$dimp$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.049150012
true+ms-anti 0.6951272 0.6951272 0.023740407
true+res-anti 0.6338028 0.6338028 0.012827193
imputed+avs-anti 0.4051758 0.4051758 0.020699026
imputed+ms-anti 0.4708985 0.4708985 0.003987103
imputed+res-anti 0.5133078 0.5133078 0.028808994
parts+avs-anti 0.8134615 0.8134615 0.023446606
parts+ms-anti 0.7727174 0.7727174 0.023072861
parts+res-anti 0.7935622 0.7935622 0.044508444
$dimp$fuzzyMeasures
V1 mean se
Euclidean 0.0923471 0.0923471 0.03977684
AHD 0.4642569 0.4642569 0.13576607
HSD 0.3363756 0.3363756 0.10523932
Bertoluzza 0.1670894 0.1670894 0.03828474
DiffVal 0.1511283 0.1511283 0.03893445
DiffAmb 0.1536623 0.1536623 0.04072627
DiffEV 0.1240803 0.1240803 0.02783903
DiffWidth 0.1278813 0.1278813 0.03052675
$missForest
$missForest$nonFNNumbers
V1 mean se
1.5000000 1.5000000 0.3535534
$missForest$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.50507402 0.7745481 0.4661655 0.4998938 0.5614203 0.11236049
WMAE 0.23268231 0.4723440 1.1051971 0.6446895 0.6137282 0.09152441
MSE 0.59191386 0.9120216 0.2847556 0.2615484 0.5125598 0.14283866
WMSE 0.06969094 0.2519201 1.6630945 0.4519573 0.6091657 0.21432778
NRMSE 0.27663479 0.4110781 0.2304459 0.2533059 0.2928662 0.05921619
$missForest$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.33877111 0.01729868 0.032249638 0.20297197 -0.27156270
AbsDiffTrueImpMean 0.50507402 0.68187360 0.398759402 0.49989378 0.52140020
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84235601 -0.70122116 0.269481010 0.62881503 -0.16132028
AbsDiffGenImpMean 0.05050740 0.06818736 0.039875940 0.04998938 0.05214002
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.59712615 1.08317029 0.290814740 0.76258536 0.68342413
AbsDiffTrueImpSD 0.52174570 0.91944960 0.188512384 0.11556697 0.43631866
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.15842649 1.10005336 1.032690503 0.98259730 1.06844191
AbsDiffGenImpSD 0.07362206 0.12731492 0.007509645 0.03803395 0.06162014
se
TrueMean 0.0602434974
ImpMean 0.0633117440
AbsDiffTrueImpMean 0.1406590026
GenMean 0.0000000000
GenImpMean 0.0003068247
AbsDiffGenImpMean 0.0140659003
TrueSD 0.1354834486
ImpSD 0.0619656486
AbsDiffTrueImpSD 0.0324715319
GenSD 0.0000000000
GenImpSD 0.0087107707
AbsDiffGenImpSD 0.0104167749
$missForest$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6471081 0.6471081 0.01003962
true+res-anti 0.6968659 0.6968659 0.06565287
imputed+avs-anti 0.4980012 0.4980012 0.08212652
imputed+ms-anti 0.5254567 0.5254567 0.07616974
imputed+res-anti 0.5113635 0.5113635 0.06375165
parts+avs-anti 0.6872766 0.6872766 0.03421529
parts+ms-anti 0.7358638 0.7358638 0.03280561
parts+res-anti 0.7495245 0.7495245 0.02916225
$missForest$fuzzyMeasures
V1 mean se
Euclidean 0.02909747 0.02909747 0.01045791
AHD 0.32618412 0.32618412 0.07636216
HSD 0.23605253 0.23605253 0.05929187
Bertoluzza 0.12017545 0.12017545 0.02276038
DiffVal 0.09546725 0.09546725 0.02602419
DiffAmb 0.09546725 0.09546725 0.02602419
DiffEV 0.09013159 0.09013159 0.01707029
DiffWidth 0.09013159 0.09013159 0.01707029
$miceRanger
$miceRanger$nonFNNumbers
V1 mean se
2 2 0
$miceRanger$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.6727459 1.0245715 0.6797585 0.5344831 0.7278897 0.07770300
WMAE 0.2763539 0.5786063 1.6365744 0.7454369 0.8092429 0.01545126
MSE 0.9923483 1.7350588 0.5493717 0.3697497 0.9116321 0.18797263
WMSE 0.1211555 0.4239973 3.2913576 0.7501604 1.1466677 0.05855361
NRMSE 0.4045132 0.5667099 0.3542184 0.3034581 0.4072249 0.04706119
$miceRanger$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.29692181 -0.2526464
ImpMean -1.19344588 -0.22614784 -0.16389948 0.19642224 -0.3467677
AbsDiffTrueImpMean 0.65039925 0.92532013 0.59490851 0.49334405 0.6659930
GenMean -0.89286341 -0.63303381 0.30935695 0.57882565 -0.1594287
GenImpMean -0.82782349 -0.72556582 0.24986610 0.62816006 -0.1688408
AbsDiffGenImpMean 0.06503992 0.09253201 0.05949085 0.04933440 0.0665993
TrueSD 1.11887185 2.00261989 0.10230236 0.87815232 1.0254866
ImpSD 0.19818099 0.69401962 0.43518146 0.51363820 0.4602551
AbsDiffTrueImpSD 0.92069086 1.30860027 0.37098615 0.36451412 0.7411978
GenSD 1.23204855 1.22736828 1.02518086 1.02063125 1.1263072
GenImpSD 1.14661517 1.06882900 1.04305734 0.96325080 1.0554381
AbsDiffGenImpSD 0.08543339 0.15853928 0.01787649 0.05738045 0.0798074
se
TrueMean 0.060243497
ImpMean 0.096286948
AbsDiffTrueImpMean 0.106925769
GenMean 0.000000000
GenImpMean 0.003604345
AbsDiffGenImpMean 0.010692577
TrueSD 0.135483449
ImpSD 0.033414792
AbsDiffTrueImpSD 0.044471268
GenSD 0.000000000
GenImpSD 0.012182574
AbsDiffGenImpSD 0.012698439
$miceRanger$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6421789 0.6421789 0.020538654
true+res-anti 0.6892184 0.6892184 0.013584876
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6093115 0.6093115 0.001495358
imputed+res-anti 0.6317906 0.6317906 0.005785142
parts+avs-anti 0.7460179 0.7460179 0.075751630
parts+ms-anti 0.7608318 0.7608318 0.056067489
parts+res-anti 0.7665546 0.7665546 0.025919400
$miceRanger$fuzzyMeasures
V1 mean se
Euclidean 0.04551652 0.04551652 0.0039938825
AHD 0.39789921 0.39789921 0.0123137117
HSD 0.29657779 0.29657779 0.0115567946
Bertoluzza 0.13509523 0.13509523 0.0010092228
DiffVal 0.11616517 0.11616517 0.0114316359
DiffAmb 0.11616517 0.11616517 0.0114316359
DiffEV 0.10132142 0.10132142 0.0007569171
DiffWidth 0.10132142 0.10132142 0.0007569171
$knn
$knn$nonFNNumbers
V1 mean se
3.0000000 3.0000000 0.7071068
$knn$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.8547951 1.1441775 0.3968067 0.7352770 0.7827641 0.12891038
WMAE 0.3459249 0.7204759 0.9205403 0.9315421 0.7296208 0.05348817
MSE 1.4906995 1.9690315 0.2112630 0.7795371 1.1126328 0.30243477
WMSE 0.1592601 0.6002915 1.0899603 1.1262724 0.7439461 0.06337808
NRMSE 0.4680417 0.6014376 0.2144926 0.4407309 0.4311757 0.06509935
$knn$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.6991723 0.431009040 -0.29692181 -0.25264640
ImpMean -1.01139663 -0.3457538 0.048838800 0.39721612 -0.22777388
AbsDiffTrueImpMean 0.83244850 1.0449261 0.382170240 0.69413793 0.73842069
GenMean -0.89286341 -0.6330338 0.309356951 0.57882565 -0.15942865
GenImpMean -0.80961857 -0.7375264 0.271139926 0.64823945 -0.15694140
AbsDiffGenImpMean 0.08324485 0.1044926 0.038217024 0.06941379 0.07384207
TrueSD 1.11887185 2.0026199 0.102302356 0.87815232 1.02548661
ImpSD 0.18990961 0.7354049 0.188058287 0.35105450 0.36610682
AbsDiffTrueImpSD 0.92896224 1.2672150 0.248056269 0.52709783 0.74283283
GenSD 1.23204855 1.2273683 1.025180858 1.02063125 1.12630723
GenImpSD 1.13165558 1.0666061 1.029259536 0.94988996 1.04435278
AbsDiffGenImpSD 0.10039297 0.1607622 0.004078677 0.07074129 0.08399379
se
TrueMean 0.0602434974
ImpMean 0.0674292605
AbsDiffTrueImpMean 0.1457210333
GenMean 0.0000000000
GenImpMean 0.0007185763
AbsDiffGenImpMean 0.0145721033
TrueSD 0.1354834486
ImpSD 0.0296128972
AbsDiffTrueImpSD 0.1060861283
GenSD 0.0000000000
GenImpSD 0.0146718182
AbsDiffGenImpSD 0.0147450974
$knn$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6699425 0.6699425 0.03394186
true+res-anti 0.6852960 0.6852960 0.02190072
imputed+avs-anti 0.6000727 0.6000727 0.09338769
imputed+ms-anti 0.6500778 0.6500778 0.02820403
imputed+res-anti 0.6636806 0.6636806 0.04330884
parts+avs-anti 0.7419414 0.7419414 0.02965704
parts+ms-anti 0.8114100 0.8114100 0.01313569
parts+res-anti 0.7823130 0.7823130 0.01766331
$knn$fuzzyMeasures
V1 mean se
Euclidean 0.04448320 0.04448320 0.0057280490
AHD 0.39392195 0.39392195 0.0239778778
HSD 0.29471326 0.29471326 0.0235701802
Bertoluzza 0.13227825 0.13227825 0.0005435969
DiffVal 0.10642905 0.10642905 0.0155895527
DiffAmb 0.10642905 0.10642905 0.0155895527
DiffEV 0.09920869 0.09920869 0.0004076977
DiffWidth 0.09920869 0.09920869 0.0004076977
$pmm
$pmm$nonFNNumbers
V1 mean se
2 2 0
$pmm$errorMatrix
V1 V2 V3 V4 mean se
MAE 0.4764572 0.8220474 0.3658411 0.3344145 0.4996900 0.06161628
WMAE 0.2220853 0.4846516 0.7679275 0.4465536 0.4803045 0.04896568
MSE 0.4244940 1.1768928 0.2462377 0.2241885 0.5179532 0.15166913
WMSE 0.0777500 0.3004821 0.9442980 0.3520208 0.4186377 0.12277469
NRMSE 0.2826356 0.4436594 0.1886923 0.1911340 0.2765303 0.03570591
$pmm$statisticalMeasures
V1 V2 V3 V4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.38973455 -0.01886455 0.065167915 -0.04044042 -0.34596790
AbsDiffTrueImpMean 0.45411058 0.71803683 0.365841125 0.33441451 0.46810076
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84745236 -0.70483749 0.272772838 0.60447379 -0.16876080
AbsDiffGenImpMean 0.04541106 0.07180368 0.036584113 0.03344145 0.04681008
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.47577510 0.98043203 0.082078480 0.69908273 0.55934208
AbsDiffTrueImpSD 0.64309675 1.02218786 0.022080498 0.17906960 0.46660868
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.17200337 1.09709716 1.029429999 0.98671473 1.07131131
AbsDiffGenImpSD 0.06004519 0.13027112 0.004643813 0.03391652 0.05721916
se
TrueMean 0.060243497
ImpMean 0.215221897
AbsDiffTrueImpMean 0.083953281
GenMean 0.000000000
GenImpMean 0.015497840
AbsDiffGenImpMean 0.008395328
TrueSD 0.135483449
ImpSD 0.105849765
AbsDiffTrueImpSD 0.029961892
GenSD 0.000000000
GenImpSD 0.007478559
AbsDiffGenImpSD 0.009050626
$pmm$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6941251 0.6941251 0.031857232
true+res-anti 0.7613305 0.7613305 0.026758241
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6063418 0.6063418 0.008704821
imputed+res-anti 0.5723736 0.5723736 0.020283675
parts+avs-anti 0.7113858 0.7113858 0.051263083
parts+ms-anti 0.7609076 0.7609076 0.031586595
parts+res-anti 0.7660329 0.7660329 0.042121085
$pmm$fuzzyMeasures
V1 mean se
Euclidean 0.03021111 0.03021111 0.003034874
AHD 0.28464482 0.28464482 0.038273583
HSD 0.20907359 0.20907359 0.031447999
Bertoluzza 0.10076163 0.10076163 0.009100779
DiffVal 0.08055797 0.08055797 0.018905072
DiffAmb 0.08055797 0.08055797 0.018905072
DiffEV 0.07557122 0.07557122 0.006825584
DiffWidth 0.07557122 0.07557122 0.006825584
attr(,"class")
[1] "metComp"
Code
set.seed(123456)
MethodsComparison(trueData = testList1, iterations = 2, percentage = 0.1,
verbose = FALSE)
Output
$dimp
$dimp$nonFNNumbers
V1 mean se
1 1 0
$dimp$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.21687283 0.4455456 1.5069736 0.11167709 0.5702673 0.02776636
WMAE 0.17612711 0.4779174 3.4849887 0.14775710 1.0716976 0.02729339
MSE 0.05816671 0.2380223 2.4355928 0.01317920 0.6862402 0.04014107
WMSE 0.04598928 0.4289299 12.4882316 0.02554648 3.2471743 0.31572934
NRMSE 0.10453666 0.1977038 0.7580186 0.05691153 0.2792926 0.01324942
$dimp$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.296921806 -0.25264640
ImpMean -1.62697229 0.37675460 -0.13790493 -0.354425112 -0.43563693
AbsDiffTrueImpMean 0.21687283 0.32241768 0.96631574 0.066162238 0.39294212
GenMean -0.89286341 -0.63303381 0.30935695 0.578825655 -0.15942865
GenImpMean -0.87117613 -0.66527557 0.25246555 0.573075324 -0.17772771
AbsDiffGenImpMean 0.02168728 0.03224177 0.09663157 0.006616224 0.03929421
TrueSD 1.11887185 2.00261989 0.10230236 0.878152324 1.02548661
ImpSD 0.98051631 1.91771336 1.27692222 0.925703535 1.27521385
AbsDiffTrueImpSD 0.13835554 0.32635020 1.17461986 0.093429820 0.43318886
GenSD 1.23204855 1.22736828 1.02518086 1.020631251 1.12630723
GenImpSD 1.21265939 1.18993314 1.12706609 1.023431295 1.13827248
AbsDiffGenImpSD 0.01938916 0.03743514 0.10188524 0.002800044 0.04037739
se
TrueMean 0.0602434974
ImpMean 0.2985856137
AbsDiffTrueImpMean 0.1531541674
GenMean 0.0000000000
GenImpMean 0.0238342116
AbsDiffGenImpMean 0.0153154167
TrueSD 0.1354834486
ImpSD 0.0174084628
AbsDiffTrueImpSD 0.1882334272
GenSD 0.0000000000
GenImpSD 0.0053251546
AbsDiffGenImpSD 0.0008473573
$dimp$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.049150012
true+ms-anti 0.6951272 0.6951272 0.023740407
true+res-anti 0.6338028 0.6338028 0.012827193
imputed+avs-anti 0.4051758 0.4051758 0.020699026
imputed+ms-anti 0.4708985 0.4708985 0.003987103
imputed+res-anti 0.5133078 0.5133078 0.028808994
parts+avs-anti 0.8134615 0.8134615 0.023446606
parts+ms-anti 0.7727174 0.7727174 0.023072861
parts+res-anti 0.7935622 0.7935622 0.044508444
$dimp$fuzzyMeasures
V1 mean se
Euclidean 0.0923471 0.0923471 0.03977684
AHD 0.4642569 0.4642569 0.13576607
HSD 0.3363756 0.3363756 0.10523932
Bertoluzza 0.1670894 0.1670894 0.03828474
DiffVal 0.1511283 0.1511283 0.03893445
DiffAmb 0.1536623 0.1536623 0.04072627
DiffEV 0.1240803 0.1240803 0.02783903
DiffWidth 0.1278813 0.1278813 0.03052675
$missForest
$missForest$nonFNNumbers
V1 mean se
1.5000000 1.5000000 0.3535534
$missForest$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.50507402 0.7745481 0.4661655 0.4998938 0.5614203 0.11236049
WMAE 0.23268231 0.4723440 1.1051971 0.6446895 0.6137282 0.09152441
MSE 0.59191386 0.9120216 0.2847556 0.2615484 0.5125598 0.14283866
WMSE 0.06969094 0.2519201 1.6630945 0.4519573 0.6091657 0.21432778
NRMSE 0.27663479 0.4110781 0.2304459 0.2533059 0.2928662 0.05921619
$missForest$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.33877111 0.01729868 0.032249638 0.20297197 -0.27156270
AbsDiffTrueImpMean 0.50507402 0.68187360 0.398759402 0.49989378 0.52140020
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84235601 -0.70122116 0.269481010 0.62881503 -0.16132028
AbsDiffGenImpMean 0.05050740 0.06818736 0.039875940 0.04998938 0.05214002
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.59712615 1.08317029 0.290814740 0.76258536 0.68342413
AbsDiffTrueImpSD 0.52174570 0.91944960 0.188512384 0.11556697 0.43631866
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.15842649 1.10005336 1.032690503 0.98259730 1.06844191
AbsDiffGenImpSD 0.07362206 0.12731492 0.007509645 0.03803395 0.06162014
se
TrueMean 0.0602434974
ImpMean 0.0633117440
AbsDiffTrueImpMean 0.1406590026
GenMean 0.0000000000
GenImpMean 0.0003068247
AbsDiffGenImpMean 0.0140659003
TrueSD 0.1354834486
ImpSD 0.0619656486
AbsDiffTrueImpSD 0.0324715319
GenSD 0.0000000000
GenImpSD 0.0087107707
AbsDiffGenImpSD 0.0104167749
$missForest$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6471081 0.6471081 0.01003962
true+res-anti 0.6968659 0.6968659 0.06565287
imputed+avs-anti 0.4980012 0.4980012 0.08212652
imputed+ms-anti 0.5254567 0.5254567 0.07616974
imputed+res-anti 0.5113635 0.5113635 0.06375165
parts+avs-anti 0.6872766 0.6872766 0.03421529
parts+ms-anti 0.7358638 0.7358638 0.03280561
parts+res-anti 0.7495245 0.7495245 0.02916225
$missForest$fuzzyMeasures
V1 mean se
Euclidean 0.02909747 0.02909747 0.01045791
AHD 0.32618412 0.32618412 0.07636216
HSD 0.23605253 0.23605253 0.05929187
Bertoluzza 0.12017545 0.12017545 0.02276038
DiffVal 0.09546725 0.09546725 0.02602419
DiffAmb 0.09546725 0.09546725 0.02602419
DiffEV 0.09013159 0.09013159 0.01707029
DiffWidth 0.09013159 0.09013159 0.01707029
$miceRanger
$miceRanger$nonFNNumbers
V1 mean se
2 2 0
$miceRanger$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.6727459 1.0245715 0.6797585 0.5344831 0.7278897 0.07770300
WMAE 0.2763539 0.5786063 1.6365744 0.7454369 0.8092429 0.01545126
MSE 0.9923483 1.7350588 0.5493717 0.3697497 0.9116321 0.18797263
WMSE 0.1211555 0.4239973 3.2913576 0.7501604 1.1466677 0.05855361
NRMSE 0.4045132 0.5667099 0.3542184 0.3034581 0.4072249 0.04706119
$miceRanger$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.43100904 -0.29692181 -0.2526464
ImpMean -1.19344588 -0.22614784 -0.16389948 0.19642224 -0.3467677
AbsDiffTrueImpMean 0.65039925 0.92532013 0.59490851 0.49334405 0.6659930
GenMean -0.89286341 -0.63303381 0.30935695 0.57882565 -0.1594287
GenImpMean -0.82782349 -0.72556582 0.24986610 0.62816006 -0.1688408
AbsDiffGenImpMean 0.06503992 0.09253201 0.05949085 0.04933440 0.0665993
TrueSD 1.11887185 2.00261989 0.10230236 0.87815232 1.0254866
ImpSD 0.19818099 0.69401962 0.43518146 0.51363820 0.4602551
AbsDiffTrueImpSD 0.92069086 1.30860027 0.37098615 0.36451412 0.7411978
GenSD 1.23204855 1.22736828 1.02518086 1.02063125 1.1263072
GenImpSD 1.14661517 1.06882900 1.04305734 0.96325080 1.0554381
AbsDiffGenImpSD 0.08543339 0.15853928 0.01787649 0.05738045 0.0798074
se
TrueMean 0.060243497
ImpMean 0.096286948
AbsDiffTrueImpMean 0.106925769
GenMean 0.000000000
GenImpMean 0.003604345
AbsDiffGenImpMean 0.010692577
TrueSD 0.135483449
ImpSD 0.033414792
AbsDiffTrueImpSD 0.044471268
GenSD 0.000000000
GenImpSD 0.012182574
AbsDiffGenImpSD 0.012698439
$miceRanger$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6421789 0.6421789 0.020538654
true+res-anti 0.6892184 0.6892184 0.013584876
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6093115 0.6093115 0.001495358
imputed+res-anti 0.6317906 0.6317906 0.005785142
parts+avs-anti 0.7460179 0.7460179 0.075751630
parts+ms-anti 0.7608318 0.7608318 0.056067489
parts+res-anti 0.7665546 0.7665546 0.025919400
$miceRanger$fuzzyMeasures
V1 mean se
Euclidean 0.04551652 0.04551652 0.0039938825
AHD 0.39789921 0.39789921 0.0123137117
HSD 0.29657779 0.29657779 0.0115567946
Bertoluzza 0.13509523 0.13509523 0.0010092228
DiffVal 0.11616517 0.11616517 0.0114316359
DiffAmb 0.11616517 0.11616517 0.0114316359
DiffEV 0.10132142 0.10132142 0.0007569171
DiffWidth 0.10132142 0.10132142 0.0007569171
$knn
$knn$nonFNNumbers
V1 mean se
3.0000000 3.0000000 0.7071068
$knn$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.8547951 1.1441775 0.3968067 0.7352770 0.7827641 0.12891038
WMAE 0.3459249 0.7204759 0.9205403 0.9315421 0.7296208 0.05348817
MSE 1.4906995 1.9690315 0.2112630 0.7795371 1.1126328 0.30243477
WMSE 0.1592601 0.6002915 1.0899603 1.1262724 0.7439461 0.06337808
NRMSE 0.4680417 0.6014376 0.2144926 0.4407309 0.4311757 0.06509935
$knn$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.6991723 0.431009040 -0.29692181 -0.25264640
ImpMean -1.01139663 -0.3457538 0.048838800 0.39721612 -0.22777388
AbsDiffTrueImpMean 0.83244850 1.0449261 0.382170240 0.69413793 0.73842069
GenMean -0.89286341 -0.6330338 0.309356951 0.57882565 -0.15942865
GenImpMean -0.80961857 -0.7375264 0.271139926 0.64823945 -0.15694140
AbsDiffGenImpMean 0.08324485 0.1044926 0.038217024 0.06941379 0.07384207
TrueSD 1.11887185 2.0026199 0.102302356 0.87815232 1.02548661
ImpSD 0.18990961 0.7354049 0.188058287 0.35105450 0.36610682
AbsDiffTrueImpSD 0.92896224 1.2672150 0.248056269 0.52709783 0.74283283
GenSD 1.23204855 1.2273683 1.025180858 1.02063125 1.12630723
GenImpSD 1.13165558 1.0666061 1.029259536 0.94988996 1.04435278
AbsDiffGenImpSD 0.10039297 0.1607622 0.004078677 0.07074129 0.08399379
se
TrueMean 0.0602434974
ImpMean 0.0674292605
AbsDiffTrueImpMean 0.1457210333
GenMean 0.0000000000
GenImpMean 0.0007185763
AbsDiffGenImpMean 0.0145721033
TrueSD 0.1354834486
ImpSD 0.0296128972
AbsDiffTrueImpSD 0.1060861283
GenSD 0.0000000000
GenImpSD 0.0146718182
AbsDiffGenImpSD 0.0147450974
$knn$statisticalTests
V1 mean se
true+avs-anti 0.6648567 0.6648567 0.04915001
true+ms-anti 0.6699425 0.6699425 0.03394186
true+res-anti 0.6852960 0.6852960 0.02190072
imputed+avs-anti 0.6000727 0.6000727 0.09338769
imputed+ms-anti 0.6500778 0.6500778 0.02820403
imputed+res-anti 0.6636806 0.6636806 0.04330884
parts+avs-anti 0.7419414 0.7419414 0.02965704
parts+ms-anti 0.8114100 0.8114100 0.01313569
parts+res-anti 0.7823130 0.7823130 0.01766331
$knn$fuzzyMeasures
V1 mean se
Euclidean 0.04448320 0.04448320 0.0057280490
AHD 0.39392195 0.39392195 0.0239778778
HSD 0.29471326 0.29471326 0.0235701802
Bertoluzza 0.13227825 0.13227825 0.0005435969
DiffVal 0.10642905 0.10642905 0.0155895527
DiffAmb 0.10642905 0.10642905 0.0155895527
DiffEV 0.09920869 0.09920869 0.0004076977
DiffWidth 0.09920869 0.09920869 0.0004076977
$pmm
$pmm$nonFNNumbers
V1 mean se
2 2 0
$pmm$errorMatrix
X1 X2 X3 X4 mean se
MAE 0.4764572 0.8220474 0.3658411 0.3344145 0.4996900 0.06161628
WMAE 0.2220853 0.4846516 0.7679275 0.4465536 0.4803045 0.04896568
MSE 0.4244940 1.1768928 0.2462377 0.2241885 0.5179532 0.15166913
WMSE 0.0777500 0.3004821 0.9442980 0.3520208 0.4186377 0.12277469
NRMSE 0.2826356 0.4436594 0.1886923 0.1911340 0.2765303 0.03570591
$pmm$statisticalMeasures
X1 X2 X3 X4 mean
TrueMean -1.84384513 0.69917228 0.431009040 -0.29692181 -0.25264640
ImpMean -1.38973455 -0.01886455 0.065167915 -0.04044042 -0.34596790
AbsDiffTrueImpMean 0.45411058 0.71803683 0.365841125 0.33441451 0.46810076
GenMean -0.89286341 -0.63303381 0.309356951 0.57882565 -0.15942865
GenImpMean -0.84745236 -0.70483749 0.272772838 0.60447379 -0.16876080
AbsDiffGenImpMean 0.04541106 0.07180368 0.036584113 0.03344145 0.04681008
TrueSD 1.11887185 2.00261989 0.102302356 0.87815232 1.02548661
ImpSD 0.47577510 0.98043203 0.082078480 0.69908273 0.55934208
AbsDiffTrueImpSD 0.64309675 1.02218786 0.022080498 0.17906960 0.46660868
GenSD 1.23204855 1.22736828 1.025180858 1.02063125 1.12630723
GenImpSD 1.17200337 1.09709716 1.029429999 0.98671473 1.07131131
AbsDiffGenImpSD 0.06004519 0.13027112 0.004643813 0.03391652 0.05721916
se
TrueMean 0.060243497
ImpMean 0.215221897
AbsDiffTrueImpMean 0.083953281
GenMean 0.000000000
GenImpMean 0.015497840
AbsDiffGenImpMean 0.008395328
TrueSD 0.135483449
ImpSD 0.105849765
AbsDiffTrueImpSD 0.029961892
GenSD 0.000000000
GenImpSD 0.007478559
AbsDiffGenImpSD 0.009050626
$pmm$statisticalTests
V1 mean se
true+avs-anti 0.6416369 0.6416369 0.032731124
true+ms-anti 0.6941251 0.6941251 0.031857232
true+res-anti 0.7613305 0.7613305 0.026758241
imputed+avs-anti 0.5410741 0.5410741 0.051669379
imputed+ms-anti 0.6063418 0.6063418 0.008704821
imputed+res-anti 0.5723736 0.5723736 0.020283675
parts+avs-anti 0.7113858 0.7113858 0.051263083
parts+ms-anti 0.7609076 0.7609076 0.031586595
parts+res-anti 0.7660329 0.7660329 0.042121085
$pmm$fuzzyMeasures
V1 mean se
Euclidean 0.03021111 0.03021111 0.003034874
AHD 0.28464482 0.28464482 0.038273583
HSD 0.20907359 0.20907359 0.031447999
Bertoluzza 0.10076163 0.10076163 0.009100779
DiffVal 0.08055797 0.08055797 0.018905072
DiffAmb 0.08055797 0.08055797 0.018905072
DiffEV 0.07557122 0.07557122 0.006825584
DiffWidth 0.07557122 0.07557122 0.006825584
attr(,"class")
[1] "metComp"
Try the FuzzyImputationTest package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.