R Under development (unstable) (2025-09-16 r88844 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > if ( requireNamespace("tinytest", quietly=TRUE) ){ + tinytest::test_package("VIM") + } Loading required package: colorspace Loading required package: grid VIM is ready to use. Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues Attaching package: 'VIM' The following object is masked from 'package:datasets': sleep test_IRMI_ordered.R........... 0 tests test_IRMI_ordered.R........... 0 tests v1 v2 co v1 v2 co -3.073840 -3.120774 1.000000 3.430229 3.488196 24.000000 test_IRMI_ordered.R........... 1 tests OK test_IRMI_ordered.R........... 2 tests OK v1 v2 co v1 v2 co -3.073840 -3.120774 1.000000 3.430229 3.488196 24.000000 Start: AIC=1381.98 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - v2 1 1362.0 1380.0 - co 1 1362.0 1380.0 - m 1 1362.2 1380.2 - b 1 1362.6 1380.6 1362.0 1382.0 - v1 1 1364.2 1382.2 - c 4 1374.0 1386.0 Step: AIC=1379.99 y ~ v1 + m + b + c + co Df Deviance AIC - co 1 1362.0 1378.0 - m 1 1362.2 1378.2 - b 1 1362.6 1378.6 1362.0 1380.0 - v1 1 1364.2 1380.2 - c 4 1374.0 1384.0 Step: AIC=1378.03 y ~ v1 + m + b + c Df Deviance AIC - m 1 1362.3 1376.3 - b 1 1362.6 1376.6 1362.0 1378.0 - v1 1 1364.3 1378.3 - c 4 1374.0 1382.0 Step: AIC=1376.29 y ~ v1 + b + c Df Deviance AIC - b 1 1362.8 1374.8 1362.3 1376.3 - v1 1 1364.6 1376.6 - c 4 1374.3 1380.3 Step: AIC=1374.85 y ~ v1 + c Df Deviance AIC 1362.8 1374.8 - v1 1 1365.3 1375.3 - c 4 1374.8 1378.8 Start: AIC=1271.82 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1252.0 1270.0 - b 1 1252.2 1270.2 - v2 1 1252.3 1270.3 - m 1 1252.5 1270.5 1251.8 1271.8 - v1 1 1275.3 1293.3 - c 4 1322.1 1334.1 Step: AIC=1269.96 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1252.4 1268.4 - v2 1 1252.4 1268.4 - m 1 1252.6 1268.6 1252.0 1270.0 - v1 1 1275.5 1291.5 - c 4 1322.5 1332.5 Step: AIC=1268.36 y ~ v1 + v2 + m + c Df Deviance AIC - v2 1 1252.8 1266.8 - m 1 1253.0 1267.0 1252.4 1268.4 - v1 1 1276.2 1290.2 - c 4 1322.6 1330.6 Step: AIC=1266.81 y ~ v1 + m + c Df Deviance AIC - m 1 1253.4 1265.4 1252.8 1266.8 - v1 1 1276.7 1288.7 - c 4 1323.1 1329.1 Step: AIC=1265.4 y ~ v1 + c Df Deviance AIC 1253.4 1265.4 - v1 1 1277.5 1287.5 - c 4 1323.7 1327.7 Start: AIC=1260.78 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1240.8 1258.8 - v2 1 1241.1 1259.1 - b 1 1241.2 1259.2 - m 1 1242.6 1260.6 1240.8 1260.8 - v1 1 1251.7 1269.7 - c 4 1334.8 1346.8 Step: AIC=1258.79 y ~ v1 + v2 + m + b + c Df Deviance AIC - v2 1 1241.1 1257.1 - b 1 1241.2 1257.2 - m 1 1242.7 1258.7 1240.8 1258.8 - v1 1 1251.7 1267.7 - c 4 1335.0 1345.0 Step: AIC=1257.14 y ~ v1 + m + b + c Df Deviance AIC - b 1 1241.5 1255.5 - m 1 1243.0 1257.0 1241.1 1257.1 - v1 1 1252.0 1266.0 - c 4 1335.3 1343.3 Step: AIC=1255.54 y ~ v1 + m + c Df Deviance AIC - m 1 1243.3 1255.3 1241.5 1255.5 - v1 1 1252.7 1264.7 - c 4 1335.4 1341.4 Step: AIC=1255.33 y ~ v1 + c Df Deviance AIC 1243.3 1255.3 - v1 1 1254.8 1264.8 - c 4 1337.2 1341.2 Start: AIC=1249.08 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1229.2 1247.2 - v2 1 1229.3 1247.3 - b 1 1229.7 1247.7 - m 1 1230.7 1248.7 - v1 1 1230.9 1248.9 1229.1 1249.1 - c 4 1333.3 1345.3 Step: AIC=1247.19 y ~ v1 + v2 + m + b + c Df Deviance AIC - v2 1 1229.4 1245.4 - b 1 1229.8 1245.8 - m 1 1230.8 1246.8 - v1 1 1231.1 1247.1 1229.2 1247.2 - c 4 1333.8 1343.8 Step: AIC=1245.42 y ~ v1 + m + b + c Df Deviance AIC - b 1 1230.0 1244.0 - m 1 1231.0 1245.0 - v1 1 1231.3 1245.3 1229.4 1245.4 - c 4 1334.0 1342.0 Step: AIC=1244.02 y ~ v1 + m + c Df Deviance AIC - m 1 1231.6 1243.6 - v1 1 1232.0 1244.0 1230.0 1244.0 - c 4 1334.2 1340.2 Step: AIC=1243.57 y ~ v1 + c Df Deviance AIC 1231.6 1243.6 - v1 1 1233.7 1243.7 - c 4 1335.7 1339.7 Start: AIC=1248.05 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1228.2 1246.2 - v2 1 1228.4 1246.4 - b 1 1228.6 1246.6 - v1 1 1229.4 1247.4 - m 1 1229.8 1247.8 1228.0 1248.0 - c 4 1332.4 1344.4 Step: AIC=1246.23 y ~ v1 + v2 + m + b + c Df Deviance AIC - v2 1 1228.5 1244.5 - b 1 1228.8 1244.8 - v1 1 1229.7 1245.7 - m 1 1230.0 1246.0 1228.2 1246.2 - c 4 1333.1 1343.1 Step: AIC=1244.54 y ~ v1 + m + b + c Df Deviance AIC - b 1 1229.1 1243.1 - v1 1 1230.0 1244.0 - m 1 1230.3 1244.3 1228.5 1244.5 - c 4 1333.3 1341.3 Step: AIC=1243.06 y ~ v1 + m + c Df Deviance AIC - v1 1 1230.6 1242.6 - m 1 1230.7 1242.7 1229.1 1243.1 - c 4 1333.5 1339.5 Step: AIC=1242.56 y ~ m + c Df Deviance AIC - m 1 1232.3 1242.3 1230.6 1242.6 - c 4 1334.0 1338.0 Step: AIC=1242.34 y ~ c Df Deviance AIC 1232.3 1242.3 - c 4 1335.7 1337.7 test_IRMI_ordered.R........... 3 tests OK test_IRMI_ordered.R........... 4 tests OK v1 v2 co v1 v2 co -3.073840 -3.120774 1.000000 3.430229 3.488196 24.000000 Start: AIC=1381.98 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - v2 1 1362.0 1380.0 - co 1 1362.0 1380.0 - m 1 1362.2 1380.2 - b 1 1362.6 1380.6 1362.0 1382.0 - v1 1 1364.2 1382.2 - c 4 1374.0 1386.0 Step: AIC=1379.99 y ~ v1 + m + b + c + co Df Deviance AIC - co 1 1362.0 1378.0 - m 1 1362.2 1378.2 - b 1 1362.6 1378.6 1362.0 1380.0 - v1 1 1364.2 1380.2 - c 4 1374.0 1384.0 Step: AIC=1378.03 y ~ v1 + m + b + c Df Deviance AIC - m 1 1362.3 1376.3 - b 1 1362.6 1376.6 1362.0 1378.0 - v1 1 1364.3 1378.3 - c 4 1374.0 1382.0 Step: AIC=1376.29 y ~ v1 + b + c Df Deviance AIC - b 1 1362.8 1374.8 1362.3 1376.3 - v1 1 1364.6 1376.6 - c 4 1374.3 1380.3 Step: AIC=1374.85 y ~ v1 + c Df Deviance AIC 1362.8 1374.8 - v1 1 1365.3 1375.3 - c 4 1374.8 1378.8 Start: AIC=1271.82 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1252.0 1270.0 - b 1 1252.2 1270.2 - v2 1 1252.3 1270.3 - m 1 1252.5 1270.5 1251.8 1271.8 - v1 1 1275.3 1293.3 - c 4 1322.1 1334.1 Step: AIC=1269.96 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1252.4 1268.4 - v2 1 1252.4 1268.4 - m 1 1252.6 1268.6 1252.0 1270.0 - v1 1 1275.5 1291.5 - c 4 1322.5 1332.5 Step: AIC=1268.36 y ~ v1 + v2 + m + c Df Deviance AIC - v2 1 1252.8 1266.8 - m 1 1253.0 1267.0 1252.4 1268.4 - v1 1 1276.2 1290.2 - c 4 1322.6 1330.6 Step: AIC=1266.81 y ~ v1 + m + c Df Deviance AIC - m 1 1253.4 1265.4 1252.8 1266.8 - v1 1 1276.7 1288.7 - c 4 1323.1 1329.1 Step: AIC=1265.4 y ~ v1 + c Df Deviance AIC 1253.4 1265.4 - v1 1 1277.5 1287.5 - c 4 1323.7 1327.7 Start: AIC=1260.78 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1240.8 1258.8 - v2 1 1241.1 1259.1 - b 1 1241.2 1259.2 - m 1 1242.6 1260.6 1240.8 1260.8 - v1 1 1251.7 1269.7 - c 4 1334.8 1346.8 Step: AIC=1258.79 y ~ v1 + v2 + m + b + c Df Deviance AIC - v2 1 1241.1 1257.1 - b 1 1241.2 1257.2 - m 1 1242.7 1258.7 1240.8 1258.8 - v1 1 1251.7 1267.7 - c 4 1335.0 1345.0 Step: AIC=1257.14 y ~ v1 + m + b + c Df Deviance AIC - b 1 1241.5 1255.5 - m 1 1243.0 1257.0 1241.1 1257.1 - v1 1 1252.0 1266.0 - c 4 1335.3 1343.3 Step: AIC=1255.54 y ~ v1 + m + c Df Deviance AIC - m 1 1243.3 1255.3 1241.5 1255.5 - v1 1 1252.7 1264.7 - c 4 1335.4 1341.4 Step: AIC=1255.33 y ~ v1 + c Df Deviance AIC 1243.3 1255.3 - v1 1 1254.8 1264.8 - c 4 1337.2 1341.2 Start: AIC=1249.08 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1229.2 1247.2 - v2 1 1229.3 1247.3 - b 1 1229.7 1247.7 - m 1 1230.7 1248.7 - v1 1 1230.9 1248.9 1229.1 1249.1 - c 4 1333.3 1345.3 Step: AIC=1247.19 y ~ v1 + v2 + m + b + c Df Deviance AIC - v2 1 1229.4 1245.4 - b 1 1229.8 1245.8 - m 1 1230.8 1246.8 - v1 1 1231.1 1247.1 1229.2 1247.2 - c 4 1333.8 1343.8 Step: AIC=1245.42 y ~ v1 + m + b + c Df Deviance AIC - b 1 1230.0 1244.0 - m 1 1231.0 1245.0 - v1 1 1231.3 1245.3 1229.4 1245.4 - c 4 1334.0 1342.0 Step: AIC=1244.02 y ~ v1 + m + c Df Deviance AIC - m 1 1231.6 1243.6 - v1 1 1232.0 1244.0 1230.0 1244.0 - c 4 1334.2 1340.2 Step: AIC=1243.57 y ~ v1 + c Df Deviance AIC 1231.6 1243.6 - v1 1 1233.7 1243.7 - c 4 1335.7 1339.7 Start: AIC=1248.05 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1228.2 1246.2 - v2 1 1228.4 1246.4 - b 1 1228.6 1246.6 - v1 1 1229.4 1247.4 - m 1 1229.8 1247.8 1228.0 1248.0 - c 4 1332.4 1344.4 Step: AIC=1246.23 y ~ v1 + v2 + m + b + c Df Deviance AIC - v2 1 1228.5 1244.5 - b 1 1228.8 1244.8 - v1 1 1229.7 1245.7 - m 1 1230.0 1246.0 1228.2 1246.2 - c 4 1333.1 1343.1 Step: AIC=1244.54 y ~ v1 + m + b + c Df Deviance AIC - b 1 1229.1 1243.1 - v1 1 1230.0 1244.0 - m 1 1230.3 1244.3 1228.5 1244.5 - c 4 1333.3 1341.3 Step: AIC=1243.06 y ~ v1 + m + c Df Deviance AIC - v1 1 1230.6 1242.6 - m 1 1230.7 1242.7 1229.1 1243.1 - c 4 1333.5 1339.5 Step: AIC=1242.56 y ~ m + c Df Deviance AIC - m 1 1232.3 1242.3 1230.6 1242.6 - c 4 1334.0 1338.0 Step: AIC=1242.34 y ~ c Df Deviance AIC 1232.3 1242.3 - c 4 1335.7 1337.7 test_IRMI_ordered.R........... 5 tests OK test_IRMI_ordered.R........... 6 tests OK v1 v2 co v1 v2 co -3.073840 -3.120774 1.000000 3.430229 3.488196 24.000000 test_IRMI_ordered.R........... 7 tests OK test_IRMI_ordered.R........... 8 tests OK test_IRMI_ordered.R........... 9 tests OK v1 v2 co v1 v2 co -3.073840 -3.120774 1.000000 3.430229 3.488196 24.000000 test_IRMI_ordered.R........... 10 tests OK test_IRMI_ordered.R........... 11 tests OK v1 v2 co v1 v2 co -3.073840 -3.120774 1.000000 3.430229 3.488196 24.000000 test_IRMI_ordered.R........... 12 tests OK test_IRMI_ordered.R........... 13 tests OK 4.4s test_aggFunctions.R........... 0 tests kNN ordered test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 1 tests OK test_aggFunctions.R........... 2 tests OK test_aggFunctions.R........... 3 tests OK test_aggFunctions.R........... 4 tests OK test_aggFunctions.R........... 5 tests OK test_aggFunctions.R........... 6 tests OK 9ms Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union test_data_frame.R............. 0 tests test_data_frame.R............. 0 tests b c b c 1 1 5 4 a c a c 1 1 5 4 a b a b 1 1 5 5 test_data_frame.R............. 0 tests b c b c 1 1 5 4 a c a c 1 1 5 4 a b a b 1 1 5 5 test_data_frame.R............. 0 tests test_data_frame.R............. 1 tests OK test_data_frame.R............. 1 tests OK test_data_frame.R............. 1 tests OK test_data_frame.R............. 2 tests OK b c b c 1 1 5 4 a c a c 1 1 5 4 a b a b 1 1 5 5 test_data_frame.R............. 2 tests OK b c b c 1 1 5 4 a c a c 1 1 5 4 a b a b 1 1 5 5 test_data_frame.R............. 2 tests OK test_data_frame.R............. 3 tests OK 0.7s test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests x y x y -2.263492 -2.530014 2.469902 2.351711 test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests x y x y -2.263492 -2.530014 2.469902 2.351711 test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 2 tests OK 48ms test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests Missings in variables: Variable Count NonD 14 Dream 12 Sleep 4 Span 4 Gest 4 test_graphics.R............... 0 tests test_graphics.R............... 1 tests OK BodyWgt BrainWgt Dream Sleep Span Gest Pred Exp 0.005 0.140 0.000 2.600 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt Dream Sleep Span Gest Pred 1.000 6654.000 5712.000 6.600 19.900 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Sleep Span Gest Pred Exp 0.005 0.140 2.100 2.600 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Sleep Span Gest Pred 1.000 6654.000 5712.000 17.900 19.900 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Dream Span Gest Pred Exp 0.005 0.140 2.100 0.000 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Dream Span Gest Pred 1.000 6654.000 5712.000 17.900 6.600 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Dream Sleep Gest Pred Exp 0.005 0.140 2.100 0.000 2.600 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Dream Sleep Gest Pred 1.000 6654.000 5712.000 17.900 6.600 19.900 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Dream Sleep Span Pred Exp 0.005 0.140 2.100 0.000 2.600 2.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Dream Sleep Span Pred 1.000 6654.000 5712.000 17.900 6.600 19.900 100.000 5.000 Exp Danger 5.000 5.000 test_graphics.R............... 1 tests OK test_graphics.R............... 1 tests OK test_graphics.R............... 1 tests OK Imputed missings in variables: Variable Count NonD 14 Dream 12 Sleep 4 Span 4 Gest 4 test_graphics.R............... 1 tests OK test_graphics.R............... 2 tests OK test_graphics.R............... 2 tests OK test_graphics.R............... 2 tests OK test_graphics.R............... 3 tests OK Exp Exp 1 5 test_graphics.R............... 3 tests OK test_graphics.R............... 3 tests OK test_graphics.R............... 3 tests OK test_graphics.R............... 4 tests OK test_graphics.R............... 4 tests OK test_graphics.R............... 5 tests OK Ca Bi Ca Bi 1.10e+02 6.00e-03 4.17e+04 3.89e+00 Ca As Ca As 110.0 0.1 41700.0 30.7 test_graphics.R............... 5 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 7 tests OK Humidity Humidity 71.6 94.8 Air.Temp Air.Temp 21.42 28.50 test_graphics.R............... 7 tests OK test_graphics.R............... 7 tests OK test_graphics.R............... 7 tests OK test_graphics.R............... 8 tests OK test_graphics.R............... 8 tests OK test_graphics.R............... 9 tests OK Bi Bi 0.006 3.890 As As 0.1 30.7 test_graphics.R............... 9 tests OK test_graphics.R............... 10 tests OK test_graphics.R............... 10 tests OK test_graphics.R............... 10 tests OK test_graphics.R............... 11 tests OK BodyWgt BrainWgt Dream Sleep BodyWgt BrainWgt Dream Sleep 0.005 0.140 0.000 2.600 6654.000 5712.000 6.600 19.900 BodyWgt BrainWgt NonD Sleep BodyWgt BrainWgt NonD Sleep 0.005 0.140 2.100 2.600 6654.000 5712.000 17.900 19.900 BodyWgt BrainWgt NonD Dream BodyWgt BrainWgt NonD Dream 0.005 0.140 2.100 0.000 6654.000 5712.000 17.900 6.600 test_graphics.R............... 11 tests OK test_graphics.R............... 11 tests OK test_graphics.R............... 12 tests OK test_graphics.R............... 12 tests OK test_graphics.R............... 12 tests OK test_graphics.R............... 13 tests OK BodyWgt BrainWgt Dream Sleep Span Gest BodyWgt BrainWgt 0.005 0.140 0.000 2.600 2.000 12.000 6654.000 5712.000 Dream Sleep Span Gest 6.600 19.900 100.000 645.000 BodyWgt BrainWgt NonD Sleep Span Gest BodyWgt BrainWgt 0.005 0.140 2.100 2.600 2.000 12.000 6654.000 5712.000 NonD Sleep Span Gest 17.900 19.900 100.000 645.000 BodyWgt BrainWgt NonD Dream Span Gest BodyWgt BrainWgt 0.005 0.140 2.100 0.000 2.000 12.000 6654.000 5712.000 NonD Dream Span Gest 17.900 6.600 100.000 645.000 BodyWgt BrainWgt NonD Dream Sleep Gest BodyWgt BrainWgt 0.005 0.140 2.100 0.000 2.600 12.000 6654.000 5712.000 NonD Dream Sleep Gest 17.900 6.600 19.900 645.000 BodyWgt BrainWgt NonD Dream Sleep Span BodyWgt BrainWgt 0.005 0.140 2.100 0.000 2.600 2.000 6654.000 5712.000 NonD Dream Sleep Span 17.900 6.600 19.900 100.000 test_graphics.R............... 13 tests OK test_graphics.R............... 13 tests OK test_graphics.R............... 14 tests OK test_graphics.R............... 14 tests OK test_graphics.R............... 15 tests OK BodyWgt BrainWgt Dream Sleep Span Gest Pred Exp 0.005 0.140 0.000 2.600 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt Dream Sleep Span Gest Pred 1.000 6654.000 5712.000 6.600 19.900 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Sleep Span Gest Pred Exp 0.005 0.140 2.100 2.600 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Sleep Span Gest Pred 1.000 6654.000 5712.000 17.900 19.900 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Dream Span Gest Pred Exp 0.005 0.140 2.100 0.000 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Dream Span Gest Pred 1.000 6654.000 5712.000 17.900 6.600 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Dream Sleep Gest Pred Exp 0.005 0.140 2.100 0.000 2.600 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Dream Sleep Gest Pred 1.000 6654.000 5712.000 17.900 6.600 19.900 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Dream Sleep Span Pred Exp 0.005 0.140 2.100 0.000 2.600 2.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Dream Sleep Span Pred 1.000 6654.000 5712.000 17.900 6.600 19.900 100.000 5.000 Exp Danger 5.000 5.000 test_graphics.R............... 15 tests OK test_graphics.R............... 16 tests OK test_graphics.R............... 17 tests OK Al_XRF Ca_XRF Fe_XRF K_XRF Mg_XRF Mn_XRF Na_XRF P_XRF Si_XRF Ti_XRF Al_XRF 2.920 0.030 0.590 0.360 0.120 0.015 0.080 0.004 17.050 0.053 12.080 Ca_XRF Fe_XRF K_XRF Mg_XRF Mn_XRF Na_XRF P_XRF Si_XRF Ti_XRF 6.760 12.350 5.240 7.320 0.356 4.870 0.589 40.270 1.900 test_graphics.R............... 17 tests OK test_graphics.R............... 18 tests OK test_graphics.R............... 19 tests OK Humidity Humidity 71.6 94.8 Air.Temp Air.Temp 21.42 28.50 test_graphics.R............... 20 tests OK test_graphics.R............... 21 tests OK Humidity Humidity 71.6 94.8 Air.Temp Air.Temp 21.42 28.50 test_graphics.R............... 22 tests OK test_graphics.R............... 22 tests OK test_graphics.R............... 22 tests OK test_graphics.R............... 23 tests OK BodyWgt BrainWgt Dream Sleep BodyWgt BrainWgt Dream Sleep 0.005 0.140 0.000 2.600 6654.000 5712.000 6.600 19.900 BodyWgt BrainWgt NonD Sleep BodyWgt BrainWgt NonD Sleep 0.005 0.140 2.100 2.600 6654.000 5712.000 17.900 19.900 BodyWgt BrainWgt NonD Dream BodyWgt BrainWgt NonD Dream 0.005 0.140 2.100 0.000 6654.000 5712.000 17.900 6.600 test_graphics.R............... 23 tests OK test_graphics.R............... 23 tests OK test_graphics.R............... 24 tests OK test_graphics.R............... 24 tests OK test_graphics.R............... 24 tests OK test_graphics.R............... 25 tests OK Humidity Humidity 71.6 94.8 Air.Temp Air.Temp 21.42 28.50 test_graphics.R............... 25 tests OK Exp Exp 1 5 test_graphics.R............... 25 tests OK test_graphics.R............... 26 tests OK test_graphics.R............... 27 tests OK test_graphics.R............... 28 tests OK Humidity Humidity 71.6 94.8 Air.Temp Air.Temp 21.42 28.50 test_graphics.R............... 29 tests OK CaO CaO -1.3010300 0.9758911 test_graphics.R............... 30 tests OK test_graphics.R............... 30 tests OK test_graphics.R............... 31 tests OK test_graphics.R............... 31 tests OK test_graphics.R............... 32 tests OK 5.1s hotdeck test_hotdeck.R................ 0 tests Attaching package: 'data.table' The following objects are masked from 'package:dplyr': between, first, last test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 1 tests OK test_hotdeck.R................ 1 tests OK test_hotdeck.R................ 1 tests OK test_hotdeck.R................ 2 tests OK test_hotdeck.R................ 2 tests OK test_hotdeck.R................ 3 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 5 tests OK test_hotdeck.R................ 5 tests OK test_hotdeck.R................ 6 tests OK test_hotdeck.R................ 6 tests OK test_hotdeck.R................ 7 tests OK test_hotdeck.R................ 7 tests OK test_hotdeck.R................ 8 tests OK test_hotdeck.R................ 8 tests OK test_hotdeck.R................ 9 tests OK test_hotdeck.R................ 10 tests OK test_hotdeck.R................ 10 tests OK test_hotdeck.R................ 10 tests OK test_hotdeck.R................ 11 tests OK test_hotdeck.R................ 12 tests OK test_hotdeck.R................ 13 tests OK test_hotdeck.R................ 14 tests OK test_hotdeck.R................ 15 tests OK test_hotdeck.R................ 15 tests OK test_hotdeck.R................ 15 tests OK test_hotdeck.R................ 16 tests OK test_hotdeck.R................ 17 tests OK test_hotdeck.R................ 18 tests OK test_hotdeck.R................ 19 tests OK 0.8s test_impNA.R.................. 0 tests test_impNA.R.................. 0 tests test_impNA.R.................. 0 tests test_impNA.R.................. 0 tests BodyWgt BrainWgt Dream Sleep Span Gest Pred Exp 0.005 0.140 0.000 2.900 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt Dream Sleep Span Gest Pred 1.000 6654.000 5712.000 6.600 19.900 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Sleep Span Gest Pred Exp 0.005 0.140 2.100 2.900 2.000 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Sleep Span Gest Pred 1.000 6654.000 5712.000 17.900 19.900 100.000 645.000 5.000 Exp Danger 5.000 5.000 BodyWgt BrainWgt NonD Dream Sleep Gest Pred Exp 0.005 0.140 2.100 0.000 2.600 12.000 1.000 1.000 Danger BodyWgt BrainWgt NonD Dream Sleep Gest Pred 1.000 6654.000 5712.000 17.900 6.600 19.900 645.000 5.000 Exp Danger 5.000 5.000 test_impNA.R.................. 0 tests test_impNA.R.................. 1 tests OK test_impNA.R.................. 2 tests OK test_impNA.R.................. 2 tests OK test_impNA.R.................. 3 tests OK test_impNA.R.................. 4 tests OK 0.2s impPCA test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests Iterations: 4 test_impPCA.R................. 0 tests test_impPCA.R................. 1 tests OK Iterations: 4 test_impPCA.R................. 1 tests OK test_impPCA.R................. 2 tests OK Iterations: 0 test_impPCA.R................. 2 tests OK test_impPCA.R................. 3 tests OK Iterations: 0 test_impPCA.R................. 3 tests OK test_impPCA.R................. 4 tests OK 75ms test_irmi_types.R............. 0 tests z z -0.3308959 2.0121804 test_irmi_types.R............. 0 tests test_irmi_types.R............. 1 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 3 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 5 tests OK test_irmi_types.R............. 6 tests OK test_irmi_types.R............. 6 tests OK test_irmi_types.R............. 6 tests OK num1 num2 num3 num1 num2 num3 -3.087610 -4.001394 -3.237928 3.349508 3.615635 2.820386 test_irmi_types.R............. 6 tests OK test_irmi_types.R............. 7 tests OK test_irmi_types.R............. 8 tests OK 0.4s test_kNN.R.................... 0 tests kNN general test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests y y 1 6 test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests y y 1 6 test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 1 tests OK test_kNN.R.................... 1 tests OK test_kNN.R.................... 1 tests OK Detected as categorical variable: x,x_imp,y_imp Detected as ordinal variable: Detected as numerical variable: y 0 items ofvariable:x imputed 6items ofvariable:y imputed Time difference of 0.01487803 secs test_kNN.R.................... 1 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 2 tests OK y z 1.000000 1.000000 RandomVariableForImputation y -1.372898 6.000000 z RandomVariableForImputation 6.000000 2.212962 z RandomVariableForImputation 1.000000 -1.372898 z RandomVariableForImputation 6.000000 2.212962 y z 1.000000 1.000000 RandomVariableForImputation y -1.372898 6.000000 z RandomVariableForImputation 6.000000 2.212962 test_kNN.R.................... 2 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.5949014 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 z y2 1.0000000 1.0000000 z2 m2 1.0000000 -0.2369185 y23 z23 1.0000000 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.5949014 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.5949014 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.5949014 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 y z 1.0000000 1.0000000 z2 m2 1.0000000 -0.2369185 y23 z23 1.0000000 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.5949014 y z 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 y23 z23 1.0000000 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.5949014 y z 6.0000000 6.0000000 y2 z2 6.0000000 6.0000000 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.5949014 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 z23 -0.2369185 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.5949014 y z 6.0000000 6.0000000 y2 z2 6.0000000 6.0000000 m2 z23 1.0393184 6.0000000 m23 RandomVariableForImputation 1.0393184 2.0511976 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 RandomVariableForImputation 1.0000000 -1.5949014 y z 6.0000000 6.0000000 y2 z2 6.0000000 6.0000000 m2 y23 1.0393184 6.0000000 z23 RandomVariableForImputation 6.0000000 2.0511976 test_kNN.R.................... 3 tests OK test_kNN.R.................... 4 tests OK test_kNN.R.................... 4 tests OK z z 1 6 test_kNN.R.................... 4 tests OK test_kNN.R.................... 5 tests OK test_kNN.R.................... 5 tests OK z z 1 6 test_kNN.R.................... 5 tests OK test_kNN.R.................... 6 tests OK test_kNN.R.................... 7 tests OK test_kNN.R.................... 7 tests OK test_kNN.R.................... 8 tests OK test_kNN.R.................... 9 tests OK test_kNN.R.................... 9 tests OK test_kNN.R.................... 9 tests OK z z 1 6 y y 1 6 test_kNN.R.................... 9 tests OK test_kNN.R.................... 10 tests OK test_kNN.R.................... 11 tests OK z z 1 6 y y 1 5 test_kNN.R.................... 11 tests OK test_kNN.R.................... 12 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 13 tests OK y z m y z m 1.0000000 1.0000000 -0.2369185 6.0000000 6.0000000 1.0393184 z m z m 1.0000000 -0.2369185 6.0000000 1.0393184 y z y z 1 1 6 6 y z m y z m 1.0000000 1.0000000 -0.2369185 6.0000000 6.0000000 1.0393184 y z m 1.0000000 1.0000000 -0.2369185 yrandomForestFeature y z 1.9946333 6.0000000 6.0000000 m yrandomForestFeature 1.0393184 4.8171000 y z m 1.00000000 1.00000000 -0.23691848 mrandomForestFeature y z -0.03045094 6.00000000 6.00000000 m mrandomForestFeature 1.03931837 0.90111834 test_kNN.R.................... 13 tests OK test_kNN.R.................... 14 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 15 tests OK y z m y z m 1.0000000 1.0000000 -0.2369185 6.0000000 6.0000000 1.0393184 z m z m 1.0000000 -0.2369185 6.0000000 1.0393184 y z y z 1 1 6 6 yrandomForestFeature yrandomForestFeature 2.082400 4.727667 mrandomForestFeature mrandomForestFeature -0.05045148 0.87127575 test_kNN.R.................... 15 tests OK test_kNN.R.................... 16 tests OK test_kNN.R.................... 17 tests OK test_kNN.R.................... 17 tests OK test_kNN.R.................... 17 tests OK z y z y 1 1 6 6 z z 1 6 z z 1 6 z yrandomForestFeature z 1.000000 2.032967 6.000000 yrandomForestFeature 4.985967 test_kNN.R.................... 17 tests OK test_kNN.R.................... 18 tests OK test_kNN.R.................... 19 tests OK test_kNN.R.................... 19 tests OK test_kNN.R.................... 19 tests OK z y z y 1 1 6 6 z z 1 6 z z 1 6 z yrandomForestFeature z 1.000000 1.902000 6.000000 yrandomForestFeature 4.915067 test_kNN.R.................... 19 tests OK test_kNN.R.................... 20 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK y y 1 6 test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK y y 1 6 test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 22 tests OK test_kNN.R.................... 22 tests OK test_kNN.R.................... 22 tests OK Detected as categorical variable: x,x_imp,y_imp Detected as ordinal variable: Detected as numerical variable: y 0 items ofvariable:x imputed 6items ofvariable:y imputed Time difference of 0.01268315 secs test_kNN.R.................... 22 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 23 tests OK y z 1.000000 1.000000 RandomVariableForImputation y -1.130797 6.000000 z RandomVariableForImputation 6.000000 1.380325 z RandomVariableForImputation 1.000000 -1.130797 z RandomVariableForImputation 6.000000 1.380325 y z 1.000000 1.000000 RandomVariableForImputation y -1.130797 6.000000 z RandomVariableForImputation 6.000000 1.380325 test_kNN.R.................... 23 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.6220983 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 z y2 1.0000000 1.0000000 z2 m2 1.0000000 -0.2369185 y23 z23 1.0000000 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.6220983 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.6220983 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.6220983 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 y z 1.0000000 1.0000000 z2 m2 1.0000000 -0.2369185 y23 z23 1.0000000 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.6220983 y z 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 y23 z23 1.0000000 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.6220983 y z 6.0000000 6.0000000 y2 z2 6.0000000 6.0000000 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 m23 1.0000000 -0.2369185 RandomVariableForImputation y -1.6220983 6.0000000 z y2 6.0000000 6.0000000 z2 m2 6.0000000 1.0393184 y23 z23 6.0000000 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 z23 -0.2369185 1.0000000 m23 RandomVariableForImputation -0.2369185 -1.6220983 y z 6.0000000 6.0000000 y2 z2 6.0000000 6.0000000 m2 z23 1.0393184 6.0000000 m23 RandomVariableForImputation 1.0393184 1.1502594 y z 1.0000000 1.0000000 y2 z2 1.0000000 1.0000000 m2 y23 -0.2369185 1.0000000 z23 RandomVariableForImputation 1.0000000 -1.6220983 y z 6.0000000 6.0000000 y2 z2 6.0000000 6.0000000 m2 y23 1.0393184 6.0000000 z23 RandomVariableForImputation 6.0000000 1.1502594 test_kNN.R.................... 24 tests OK test_kNN.R.................... 25 tests OK test_kNN.R.................... 25 tests OK z z 1 6 test_kNN.R.................... 25 tests OK test_kNN.R.................... 26 tests OK test_kNN.R.................... 26 tests OK test_kNN.R.................... 27 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 28 tests OK y z m y z m 1.0000000 1.0000000 -0.2369185 6.0000000 6.0000000 1.0393184 z m z m 1.0000000 -0.2369185 6.0000000 1.0393184 y z y z 1 1 6 6 y z m y z m 1.0000000 1.0000000 -0.2369185 6.0000000 6.0000000 1.0393184 y z m 1.0000000 1.0000000 -0.2369185 yrandomForestFeature y z 2.1257000 6.0000000 6.0000000 m yrandomForestFeature 1.0393184 4.6920333 y z m 1.00000000 1.00000000 -0.23691848 mrandomForestFeature y z -0.04213089 6.00000000 6.00000000 m mrandomForestFeature 1.03931837 0.84783840 test_kNN.R.................... 28 tests OK test_kNN.R.................... 29 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 30 tests OK y z m y z m 1.0000000 1.0000000 -0.2369185 6.0000000 6.0000000 1.0393184 z m z m 1.0000000 -0.2369185 6.0000000 1.0393184 y z y z 1 1 6 6 yrandomForestFeature yrandomForestFeature 2.125167 4.833167 mrandomForestFeature mrandomForestFeature -0.09882801 0.85004137 test_kNN.R.................... 30 tests OK test_kNN.R.................... 31 tests OK test_kNN.R.................... 32 tests OK test_kNN.R.................... 32 tests OK test_kNN.R.................... 32 tests OK z y z y 1 1 6 6 z z 1 6 z z 1 6 z yrandomForestFeature z 1.000000 1.962533 6.000000 yrandomForestFeature 4.974033 test_kNN.R.................... 32 tests OK test_kNN.R.................... 33 tests OK test_kNN.R.................... 34 tests OK test_kNN.R.................... 34 tests OK test_kNN.R.................... 34 tests OK z y z y 1 1 6 6 z z 1 6 z z 1 6 z yrandomForestFeature z 1.000000 1.989633 6.000000 yrandomForestFeature 4.963533 test_kNN.R.................... 34 tests OK test_kNN.R.................... 35 tests OK test_kNN.R.................... 36 tests OK test_kNN.R.................... 36 tests OK col2 col3 col2 col3 3 5 4 6 test_kNN.R.................... 37 tests OK test_kNN.R.................... 37 tests OK test_kNN.R.................... 37 tests OK col2 col3 col2 col3 3 5 4 6 test_kNN.R.................... 38 tests OK test_kNN.R.................... 38 tests OK test_kNN.R.................... 38 tests OK col2 col3 col2 col3 3 5 4 6 test_kNN.R.................... 39 tests OK weighted catFun without missings in the distance variables test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK x y x y 1 1 10 10 test_kNN.R.................... 39 tests OK weighted catFun with missings in the distance variables test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK x y x y 1 1 10 10 test_kNN.R.................... 39 tests OK x y x y 1 1 10 10 test_kNN.R.................... 39 tests OK 1.5s test_kNN_exact.R.............. 0 tests kNN exact results test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 0 tests Detected as categorical variable: Class,Class_imp,X1_imp,X2_imp,ClassNum_imp,Row_imp,Row2_imp,ord_imp Detected as ordinal variable: ord Detected as numerical variable: X1,X2,ClassNum,Row,Row2 0 items ofvariable:Class imputed 0 items ofvariable:X1 imputed X1 X1 1 1 2items ofvariable:X2 imputed 0 items ofvariable:ClassNum imputed 0 items ofvariable:Row imputed 0 items ofvariable:Row2 imputed 0 items ofvariable:ord imputed Time difference of 0.02303505 secs test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 1 tests OK test_kNN_exact.R.............. 2 tests OK test_kNN_exact.R.............. 2 tests OK test_kNN_exact.R.............. 3 tests OK test_kNN_exact.R.............. 4 tests OK X1 ClassNum X1 ClassNum 1 1 1 2 test_kNN_exact.R.............. 4 tests OK test_kNN_exact.R.............. 5 tests OK test_kNN_exact.R.............. 6 tests OK test_kNN_exact.R.............. 6 tests OK test_kNN_exact.R.............. 6 tests OK Row2 Row2 1 10 Row2 Row2 1 10 test_kNN_exact.R.............. 6 tests OK test_kNN_exact.R.............. 7 tests OK test_kNN_exact.R.............. 8 tests OK Row2 Row2 1 10 Row2 Row2 1 10 test_kNN_exact.R.............. 8 tests OK test_kNN_exact.R.............. 9 tests OK test_kNN_exact.R.............. 10 tests OK X1 Row2 X1 Row2 1 1 1 10 X1 Row2 X1 Row2 1 1 1 10 test_kNN_exact.R.............. 10 tests OK test_kNN_exact.R.............. 11 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 13 tests OK test_kNN_exact.R.............. 14 tests OK Row2 Row2 1 10 Row2 Row2 1 10 test_kNN_exact.R.............. 14 tests OK test_kNN_exact.R.............. 15 tests OK test_kNN_exact.R.............. 16 tests OK X1 Row2 X1 Row2 1 1 1 10 X1 Row2 X1 Row2 1 1 1 10 test_kNN_exact.R.............. 16 tests OK test_kNN_exact.R.............. 17 tests OK test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 18 tests OK Detected as categorical variable: Class,Class_imp,X1_imp,X2_imp,ClassNum_imp,Row_imp,Row2_imp,ord_imp Detected as ordinal variable: ord Detected as numerical variable: X1,X2,ClassNum,Row,Row2 0 items ofvariable:Class imputed 0 items ofvariable:X1 imputed X1 X1 1 1 2items ofvariable:X2 imputed 0 items ofvariable:ClassNum imputed 0 items ofvariable:Row imputed 0 items ofvariable:Row2 imputed 0 items ofvariable:ord imputed Time difference of 0.020823 secs test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 19 tests OK test_kNN_exact.R.............. 20 tests OK test_kNN_exact.R.............. 20 tests OK test_kNN_exact.R.............. 21 tests OK test_kNN_exact.R.............. 22 tests OK X1 ClassNum X1 ClassNum 1 1 1 2 test_kNN_exact.R.............. 22 tests OK test_kNN_exact.R.............. 23 tests OK test_kNN_exact.R.............. 24 tests OK test_kNN_exact.R.............. 24 tests OK test_kNN_exact.R.............. 24 tests OK Row2 Row2 1 10 Row2 Row2 1 10 test_kNN_exact.R.............. 24 tests OK test_kNN_exact.R.............. 25 tests OK test_kNN_exact.R.............. 26 tests OK Row2 Row2 1 10 Row2 Row2 1 10 test_kNN_exact.R.............. 26 tests OK test_kNN_exact.R.............. 27 tests OK test_kNN_exact.R.............. 28 tests OK X1 Row2 X1 Row2 1 1 1 10 X1 Row2 X1 Row2 1 1 1 10 test_kNN_exact.R.............. 28 tests OK test_kNN_exact.R.............. 29 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 31 tests OK test_kNN_exact.R.............. 32 tests OK Row2 Row2 1 10 Row2 Row2 1 10 test_kNN_exact.R.............. 32 tests OK test_kNN_exact.R.............. 33 tests OK test_kNN_exact.R.............. 34 tests OK X1 Row2 X1 Row2 1 1 1 10 X1 Row2 X1 Row2 1 1 1 10 test_kNN_exact.R.............. 34 tests OK test_kNN_exact.R.............. 35 tests OK test_kNN_exact.R.............. 36 tests OK 0.4s test_kNN_iqr.R................ 0 tests kNN iqr test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests y z y z -1.914359 -2.888921 2.307978 2.649167 test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 1 tests OK 32ms test_kNN_ordered.R............ 0 tests kNN ordered test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 0 tests y z y z 1 1 6 6 test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 1 tests OK test_kNN_ordered.R............ 2 tests OK y z y z 1 1 6 6 test_kNN_ordered.R............ 2 tests OK test_kNN_ordered.R............ 3 tests OK test_kNN_ordered.R............ 4 tests OK y z y z 1 1 6 6 test_kNN_ordered.R............ 4 tests OK test_kNN_ordered.R............ 5 tests OK test_kNN_ordered.R............ 6 tests OK y z y z 1 1 6 6 test_kNN_ordered.R............ 6 tests OK test_kNN_ordered.R............ 7 tests OK test_kNN_ordered.R............ 8 tests OK 82ms test_matchImpute.R............ 0 tests matchImpute general test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 1 tests OK test_matchImpute.R............ 1 tests OK test_matchImpute.R............ 2 tests OK test_matchImpute.R............ 3 tests OK test_matchImpute.R............ 4 tests OK test_matchImpute.R............ 5 tests OK test_matchImpute.R............ 5 tests OK test_matchImpute.R............ 6 tests OK 21ms test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 1 tests OK No missings in x. test_rangerImpute.R........... 1 tests OK test_rangerImpute.R........... 2 tests OK test_rangerImpute.R........... 2 tests OK test_rangerImpute.R........... 2 tests OK test_rangerImpute.R........... 3 tests OK test_rangerImpute.R........... 3 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 5 tests OK 0.1s test_regressionImp.R.......... 0 tests test_regressionImp.R.......... 0 tests test_regressionImp.R.......... 1 tests OK test_regressionImp.R.......... 1 tests OK test_regressionImp.R.......... 2 tests OK test_regressionImp.R.......... 2 tests OK test_regressionImp.R.......... 3 tests OK test_regressionImp.R.......... 3 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 5 tests OK 16ms test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 1 tests OK No missings in x. test_xgboostImpute.R.......... 1 tests OK test_xgboostImpute.R.......... 2 tests OK test_xgboostImpute.R.......... 2 tests OK test_xgboostImpute.R.......... 3 tests OK test_xgboostImpute.R.......... 4 tests OK test_xgboostImpute.R.......... 5 tests OK test_xgboostImpute.R.......... 6 tests OK test_xgboostImpute.R.......... 7 tests OK test_xgboostImpute.R.......... 7 tests OK test_xgboostImpute.R.......... 7 tests OK test_xgboostImpute.R.......... 7 tests OK test_xgboostImpute.R.......... 8 tests OK 0.5s All ok, 199 results (14.4s) There were 14 warnings (use warnings() to see them) > > proc.time() user system elapsed 15.60 1.18 16.73