CRAN Package Check Results for Package vartest

Last updated on 2026-08-01 05:56:21 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.6 2.87 141.07 143.94 OK
r-devel-linux-x86_64-debian-gcc 1.6 2.89 91.73 94.62 NOTE
r-devel-linux-x86_64-fedora-clang 1.6 131.69 OK
r-devel-linux-x86_64-fedora-gcc 1.6 92.92 OK
r-devel-windows-x86_64 1.6 7.00 143.00 150.00 OK
r-patched-linux-x86_64 1.6 4.48 138.80 143.28 OK
r-release-linux-x86_64 1.5 3.98 134.00 137.98 OK
r-release-macos-arm64 1.6 1.00 38.00 39.00 ERROR
r-release-macos-x86_64 1.6 3.00 227.00 230.00 OK
r-release-windows-x86_64 1.6 7.00 143.00 150.00 OK
r-oldrel-macos-arm64 1.6 1.00 38.00 39.00 ERROR
r-oldrel-macos-x86_64 1.6 3.00 257.00 260.00 OK
r-oldrel-windows-x86_64 1.6 8.00 170.00 178.00 OK

Additional issues

M1mac noLD

Check Details

Version: 1.6
Check: for new files in some other directories
Result: NOTE Found the following files/directories: ‘~/tmp/scratch/Rtmp02GkIc’ ‘~/tmp/scratch/Rtmp0ezyRX’ ‘~/tmp/scratch/Rtmp1DvgDJ’ ‘~/tmp/scratch/Rtmp1Hgacl’ ‘~/tmp/scratch/Rtmp1ewrxH’ ‘~/tmp/scratch/Rtmp1g3l8M’ ‘~/tmp/scratch/Rtmp1hNuIu’ ‘~/tmp/scratch/Rtmp1jKZP1’ ‘~/tmp/scratch/Rtmp1nxbI0’ ‘~/tmp/scratch/Rtmp1ykrhI’ ‘~/tmp/scratch/Rtmp21euu1’ ‘~/tmp/scratch/Rtmp28G4GV’ ‘~/tmp/scratch/Rtmp2cziXv’ ‘~/tmp/scratch/Rtmp3KstGc’ ‘~/tmp/scratch/Rtmp3MeLFg’ ‘~/tmp/scratch/Rtmp3nGqRo’ ‘~/tmp/scratch/Rtmp3r7BTi’ ‘~/tmp/scratch/Rtmp3sr5Wo’ ‘~/tmp/scratch/Rtmp4PY612’ ‘~/tmp/scratch/Rtmp4qV8bQ’ ‘~/tmp/scratch/Rtmp4tHKK3’ ‘~/tmp/scratch/Rtmp4xchmu’ ‘~/tmp/scratch/Rtmp56a6oK’ ‘~/tmp/scratch/Rtmp5ToMSe’ ‘~/tmp/scratch/Rtmp6SWIzC’ ‘~/tmp/scratch/Rtmp7cysZk’ ‘~/tmp/scratch/Rtmp8PpFGT’ ‘~/tmp/scratch/Rtmp8kCYzV’ ‘~/tmp/scratch/Rtmp8oOT5q’ ‘~/tmp/scratch/Rtmp9ZqxUV’ ‘~/tmp/scratch/Rtmp9dm2GP’ ‘~/tmp/scratch/RtmpB2uW47’ ‘~/tmp/scratch/RtmpBcrAdg’ ‘~/tmp/scratch/RtmpCZDmCE’ ‘~/tmp/scratch/RtmpCnDcAZ’ ‘~/tmp/scratch/RtmpCqWkRd’ ‘~/tmp/scratch/RtmpCrdYuN’ ‘~/tmp/scratch/RtmpD7xFVO’ ‘~/tmp/scratch/RtmpDAjuj4’ ‘~/tmp/scratch/RtmpDFJCOX’ ‘~/tmp/scratch/RtmpDr1n3G’ ‘~/tmp/scratch/RtmpDus3iY’ ‘~/tmp/scratch/RtmpE61Vt5’ ‘~/tmp/scratch/RtmpEVh3EM’ ‘~/tmp/scratch/RtmpEWOlkH’ ‘~/tmp/scratch/RtmpEZ4lE3’ ‘~/tmp/scratch/RtmpFTwUBc’ ‘~/tmp/scratch/RtmpFWRF5d’ ‘~/tmp/scratch/RtmpFcxluY’ ‘~/tmp/scratch/RtmpFiuQQF’ ‘~/tmp/scratch/RtmpGJoXeW’ ‘~/tmp/scratch/RtmpHH6YF6’ ‘~/tmp/scratch/RtmpIbaSCa’ ‘~/tmp/scratch/RtmpIvvXIR’ ‘~/tmp/scratch/RtmpJ2Y5jB’ ‘~/tmp/scratch/RtmpJ4Y9qB’ ‘~/tmp/scratch/RtmpJCFVZc’ ‘~/tmp/scratch/RtmpJK5zpi’ ‘~/tmp/scratch/RtmpJaF7Bv’ ‘~/tmp/scratch/RtmpKDqAKu’ ‘~/tmp/scratch/RtmpL3Elaw’ ‘~/tmp/scratch/RtmpL7Xhqx’ ‘~/tmp/scratch/RtmpLGaV42’ ‘~/tmp/scratch/RtmpLOzdZm’ ‘~/tmp/scratch/RtmpLh3jjN’ ‘~/tmp/scratch/RtmpME16BG’ ‘~/tmp/scratch/RtmpMUrq1j’ ‘~/tmp/scratch/RtmpO1VtqS’ ‘~/tmp/scratch/RtmpOy368p’ ‘~/tmp/scratch/RtmpPY4IjI’ ‘~/tmp/scratch/RtmpPYQcUS’ ‘~/tmp/scratch/RtmpPkHv02’ ‘~/tmp/scratch/RtmpPqlsvT’ ‘~/tmp/scratch/RtmpQ79MaM’ ‘~/tmp/scratch/RtmpQ9fd6B’ ‘~/tmp/scratch/RtmpQAGIQf’ ‘~/tmp/scratch/RtmpQBs8EW’ ‘~/tmp/scratch/RtmpQjUI6Q’ ‘~/tmp/scratch/RtmpR3bbsk’ ‘~/tmp/scratch/RtmpRRyeEX’ ‘~/tmp/scratch/RtmpRXhlkJ’ ‘~/tmp/scratch/RtmpRoFqS9’ ‘~/tmp/scratch/RtmpSLryvg’ ‘~/tmp/scratch/RtmpSdH8qH’ ‘~/tmp/scratch/RtmpSq59tQ’ ‘~/tmp/scratch/RtmpSz0bEM’ ‘~/tmp/scratch/RtmpSzhoH1’ ‘~/tmp/scratch/RtmpTIAui5’ ‘~/tmp/scratch/RtmpTLIDeC’ ‘~/tmp/scratch/RtmpTMTChw’ ‘~/tmp/scratch/RtmpUENcqF’ ‘~/tmp/scratch/RtmpUQHr9C’ ‘~/tmp/scratch/RtmpUepIAY’ ‘~/tmp/scratch/RtmpW7OaFI’ ‘~/tmp/scratch/RtmpWLYwF7’ ‘~/tmp/scratch/RtmpWMP3HD’ ‘~/tmp/scratch/RtmpX9VGb6’ ‘~/tmp/scratch/RtmpXEmNYB’ ‘~/tmp/scratch/RtmpXfc2nJ’ ‘~/tmp/scratch/RtmpXwmlkp’ ‘~/tmp/scratch/RtmpYfPQet’ ‘~/tmp/scratch/RtmpYzWw2Y’ ‘~/tmp/scratch/RtmpZ0Ca7v’ ‘~/tmp/scratch/RtmpZFIEl6’ ‘~/tmp/scratch/RtmpZWAP8L’ ‘~/tmp/scratch/RtmpZnW4OX’ ‘~/tmp/scratch/RtmpZzq1aS’ ‘~/tmp/scratch/Rtmpa8zBPp’ ‘~/tmp/scratch/RtmpaANVzi’ ‘~/tmp/scratch/RtmpaK3KFO’ ‘~/tmp/scratch/RtmpbdBrGn’ ‘~/tmp/scratch/Rtmpc8fepf’ ‘~/tmp/scratch/Rtmpcg9Vof’ ‘~/tmp/scratch/RtmpdZgEF1’ ‘~/tmp/scratch/RtmpeIjsgy’ ‘~/tmp/scratch/RtmpeUnz8U’ ‘~/tmp/scratch/RtmpfC5zAC’ ‘~/tmp/scratch/RtmpgAhsDr’ ‘~/tmp/scratch/RtmpgB8CY9’ ‘~/tmp/scratch/RtmpgJUAvp’ ‘~/tmp/scratch/RtmphFR1KI’ ‘~/tmp/scratch/RtmphQ2lT1’ ‘~/tmp/scratch/RtmphQ3kj3’ ‘~/tmp/scratch/RtmphtOk7T’ ‘~/tmp/scratch/RtmpiXgfcS’ ‘~/tmp/scratch/Rtmpirj1co’ ‘~/tmp/scratch/Rtmpj6SK3O’ ‘~/tmp/scratch/RtmpjyebsE’ ‘~/tmp/scratch/RtmpkYL1XI’ ‘~/tmp/scratch/RtmpkcDJSG’ ‘~/tmp/scratch/RtmpkcWoNe’ ‘~/tmp/scratch/RtmpkiX4qR’ ‘~/tmp/scratch/Rtmpkn9Qq4’ ‘~/tmp/scratch/Rtmpkqfbms’ ‘~/tmp/scratch/RtmplDhmFV’ ‘~/tmp/scratch/RtmplM6p0M’ ‘~/tmp/scratch/RtmpllhiE3’ ‘~/tmp/scratch/Rtmpmwg5ZJ’ ‘~/tmp/scratch/RtmpmxBOgn’ ‘~/tmp/scratch/RtmpncCniM’ ‘~/tmp/scratch/Rtmpo9KIca’ ‘~/tmp/scratch/RtmpoFzcMz’ ‘~/tmp/scratch/RtmpoVQAeC’ ‘~/tmp/scratch/Rtmpod84V6’ ‘~/tmp/scratch/RtmpogGo01’ ‘~/tmp/scratch/RtmpoqNcRc’ ‘~/tmp/scratch/RtmpqePnHE’ ‘~/tmp/scratch/RtmpquCVxG’ ‘~/tmp/scratch/RtmprLAElj’ ‘~/tmp/scratch/RtmprllPPm’ ‘~/tmp/scratch/RtmpsgwKCe’ ‘~/tmp/scratch/Rtmpt22qF9’ ‘~/tmp/scratch/Rtmpt81xg0’ ‘~/tmp/scratch/RtmptLbBeY’ ‘~/tmp/scratch/RtmptMYRSs’ ‘~/tmp/scratch/RtmptPMG2v’ ‘~/tmp/scratch/Rtmptcu6FK’ ‘~/tmp/scratch/RtmptuWqf8’ ‘~/tmp/scratch/Rtmpun897v’ ‘~/tmp/scratch/RtmpvW3a78’ ‘~/tmp/scratch/RtmpvbxOrW’ ‘~/tmp/scratch/RtmpvlwA1d’ ‘~/tmp/scratch/RtmpvvnoXa’ ‘~/tmp/scratch/Rtmpw1c3ry’ ‘~/tmp/scratch/Rtmpwy62je’ ‘~/tmp/scratch/RtmpxrXr7W’ ‘~/tmp/scratch/Rtmpxzn5Ca’ ‘~/tmp/scratch/RtmpyCodKo’ ‘~/tmp/scratch/RtmpyQqc5s’ ‘~/tmp/scratch/RtmpzyMRqY’ ‘~/tmp/scratch/xvfb-run.037wpq’ ‘~/tmp/scratch/xvfb-run.0Y4o2R’ ‘~/tmp/scratch/xvfb-run.0jakN0’ ‘~/tmp/scratch/xvfb-run.1AVr1R’ ‘~/tmp/scratch/xvfb-run.3CQM3Y’ ‘~/tmp/scratch/xvfb-run.49llh5’ ‘~/tmp/scratch/xvfb-run.4OSPto’ ‘~/tmp/scratch/xvfb-run.56grD5’ ‘~/tmp/scratch/xvfb-run.5UJL1q’ ‘~/tmp/scratch/xvfb-run.5uexXy’ ‘~/tmp/scratch/xvfb-run.6uS17H’ ‘~/tmp/scratch/xvfb-run.7TaGkn’ ‘~/tmp/scratch/xvfb-run.7pwFld’ ‘~/tmp/scratch/xvfb-run.7z9HEm’ ‘~/tmp/scratch/xvfb-run.9JjTnh’ ‘~/tmp/scratch/xvfb-run.C9n7DH’ ‘~/tmp/scratch/xvfb-run.CwjwMt’ ‘~/tmp/scratch/xvfb-run.EIGCra’ ‘~/tmp/scratch/xvfb-run.Esn83G’ ‘~/tmp/scratch/xvfb-run.G7L17U’ ‘~/tmp/scratch/xvfb-run.IFQPZk’ ‘~/tmp/scratch/xvfb-run.ILbr79’ ‘~/tmp/scratch/xvfb-run.Im3v8M’ ‘~/tmp/scratch/xvfb-run.ImYQjG’ ‘~/tmp/scratch/xvfb-run.JF14qr’ ‘~/tmp/scratch/xvfb-run.L86h6f’ ‘~/tmp/scratch/xvfb-run.MWIEES’ ‘~/tmp/scratch/xvfb-run.MZc9zE’ ‘~/tmp/scratch/xvfb-run.Mnqfvi’ ‘~/tmp/scratch/xvfb-run.PKeN0q’ ‘~/tmp/scratch/xvfb-run.PKnqYi’ ‘~/tmp/scratch/xvfb-run.TA9cGN’ ‘~/tmp/scratch/xvfb-run.TLODjj’ ‘~/tmp/scratch/xvfb-run.U4vhiE’ ‘~/tmp/scratch/xvfb-run.UGRYDf’ ‘~/tmp/scratch/xvfb-run.UWMAc1’ ‘~/tmp/scratch/xvfb-run.UkxzXZ’ ‘~/tmp/scratch/xvfb-run.UlvIlJ’ ‘~/tmp/scratch/xvfb-run.Ut9cYj’ ‘~/tmp/scratch/xvfb-run.VOewVD’ ‘~/tmp/scratch/xvfb-run.VceVZH’ ‘~/tmp/scratch/xvfb-run.Vx8O7S’ ‘~/tmp/scratch/xvfb-run.XPS7xJ’ ‘~/tmp/scratch/xvfb-run.Xcbb5o’ ‘~/tmp/scratch/xvfb-run.YnahKL’ ‘~/tmp/scratch/xvfb-run.Zg0EsG’ ‘~/tmp/scratch/xvfb-run.a8jcVj’ ‘~/tmp/scratch/xvfb-run.asoA0K’ ‘~/tmp/scratch/xvfb-run.bU8A4n’ ‘~/tmp/scratch/xvfb-run.gMIchH’ ‘~/tmp/scratch/xvfb-run.hHoLcS’ ‘~/tmp/scratch/xvfb-run.hT0G4N’ ‘~/tmp/scratch/xvfb-run.halBDA’ ‘~/tmp/scratch/xvfb-run.kleC2p’ ‘~/tmp/scratch/xvfb-run.lgIEAe’ ‘~/tmp/scratch/xvfb-run.mQiRM6’ ‘~/tmp/scratch/xvfb-run.mZ6kfW’ ‘~/tmp/scratch/xvfb-run.miAs93’ ‘~/tmp/scratch/xvfb-run.mlymww’ ‘~/tmp/scratch/xvfb-run.nazoIK’ ‘~/tmp/scratch/xvfb-run.o0tSSo’ ‘~/tmp/scratch/xvfb-run.pF4PxY’ ‘~/tmp/scratch/xvfb-run.qd56Da’ ‘~/tmp/scratch/xvfb-run.tHoWJs’ ‘~/tmp/scratch/xvfb-run.tn5sOd’ ‘~/tmp/scratch/xvfb-run.tqq0RC’ ‘~/tmp/scratch/xvfb-run.u5pPbP’ ‘~/tmp/scratch/xvfb-run.u8hJSt’ ‘~/tmp/scratch/xvfb-run.ufNQwX’ ‘~/tmp/scratch/xvfb-run.xaH58Z’ ‘~/tmp/scratch/xvfb-run.xf23XV’ ‘~/tmp/scratch/xvfb-run.yWxyMk’ ‘~/tmp/scratch/xvfb-run.zHQfZU’ Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.6
Check: tests
Result: ERROR Running ‘testthat.R’ [19s/21s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(vartest) Attaching package: 'vartest' The following objects are masked from 'package:stats': ansari.test, mood.test > > test_check("vartest") ========================================================================================== Test Method | Power | Type I Error | Adj. Power | Evaluation ------------------------------------------------------------------------------------------ Hartley (Mean) | 0.9820 | 0.0280 | 0.9909 | Suggested * Hartley (Harmonic) | 0.9820 | 0.0280 | 0.9909 | Suggested * Hartley (Max n) | 0.9820 | 0.0280 | 0.9909 | Suggested * Hartley (Min Var) | 0.9820 | 0.0280 | 0.9909 | Suggested * Bartlett | 0.9780 | 0.0240 | 0.9905 | - Z Variance | 0.9760 | 0.0230 | 0.9900 | - Fisher | 0.9930 | 0.0780 | 0.9872 | - Modified Z Variance | 0.9820 | 0.0500 | 0.9820 | - Levene (Mean, Sq) | 0.9750 | 0.0510 | 0.9744 | - Levene (Trim, Sq) | 0.9700 | 0.0440 | 0.9739 | - O'Brien (Trimmed Mean) | 0.9680 | 0.0420 | 0.9735 | - Levene (Med, Sq) | 0.9670 | 0.0430 | 0.9720 | - O'Brien (Median) | 0.9650 | 0.0410 | 0.9717 | - O'Brien (Mean) | 0.9700 | 0.0500 | 0.9700 | - Capon | 0.9620 | 0.0440 | 0.9668 | - Klotz | 0.9580 | 0.0450 | 0.9623 | - Levene (Mean, Abs) | 0.9520 | 0.0520 | 0.9501 | - Levene (Med, Abs) | 0.9400 | 0.0470 | 0.9435 | - Levene (Trim, Abs) | 0.9430 | 0.0520 | 0.9408 | - Fligner-Killeen | 0.9280 | 0.0420 | 0.9387 | - Cochran's C | 0.8490 | 0.0240 | 0.9138 | - G | 0.8490 | 0.0240 | 0.9138 | - Duran | 0.9180 | 0.0530 | 0.9136 | - Mood | 0.9120 | 0.0540 | 0.9058 | - Ansari-Bradley | 0.8030 | 0.0510 | 0.8003 | - David-Barton | 0.8030 | 0.0510 | 0.8003 | - Siegel-Tukey | 0.8030 | 0.0520 | 0.7977 | - Talwar-Gentle | 0.8010 | 0.0520 | 0.7956 | - ========================================================================================== * Suggested method yielding the highest adjusted power with the lowest Type I error. Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Ansari Bradley Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Capon Test data: Sepal.Length and Species X-squared = 10.234, df = 2, p-value = 0.005993 David Barton Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Duran Test data: Sepal.Length and Species X-squared = 9.6837, df = 2, p-value = 0.007892 Fligner-Killeen Test data: Sepal.Length and Species X-squared = 11.618, df = 2, p-value = 0.003 Klotz Test data: Sepal.Length and Species X-squared = 11.304, df = 2, p-value = 0.00351 Mood Test data: Sepal.Length and Species X-squared = 9.4451, df = 2, p-value = 0.008893 Siegel Tukey Test data: Sepal.Length and Species X-squared = 8.4519, df = 2, p-value = 0.01461 Talwar and Gentle Test data: Sepal.Length and Species X-squared = 9.6413, df = 2, p-value = 0.008062 Saving _problems/testthat-vht-182.R Saving _problems/testthat-vht-182.R Cochran's C Test data: Sepal.Length and Species F = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Modified Z Variance Test data: Sepal.Length and Species F = 8.2779, num df = 2, denom df = Inf, p-value = 0.0002541 Fisher's Test data: Sepal.Length and Species F = 3.2543, num df.virginica = 49, denom df.setosa = 49, p-value = 6.366e-05 G Test data: Sepal.Length and Species F.virginica = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Levene's Test data: Sepal.Length and Species F = 7.3811, num df = 2, denom df = 147, p-value = 0.0008818 Levene's Test data: Sepal.Length and Species F = 6.3527, num df = 2, denom df = 147, p-value = 0.002259 Levene's Test data: Sepal.Length and Species F = 6.7289, num df = 2, denom df = 147, p-value = 0.001599 Levene's Test data: Sepal.Length and Species F = 6.5889, num df = 2, denom df = 147, p-value = 0.001818 Levene's Test data: Sepal.Length and Species F = 6.5612, num df = 2, denom df = 147, p-value = 0.001865 Levene's Test data: Sepal.Length and Species F = 6.5171, num df = 2, denom df = 147, p-value = 0.001942 O'Brien Test data: Sepal.Length and Species F = 6.4537, num df = 2, denom df = 147, p-value = 0.002058 O'Brien Test data: Sepal.Length and Species F = 6.4303, num df = 2, denom df = 147, p-value = 0.002103 O'Brien Test data: Sepal.Length and Species F = 6.385, num df = 2, denom df = 147, p-value = 0.002192 Z Variance Test data: Sepal.Length and Species F = 7.6225, num df = 2, denom df = Inf, p-value = 0.0004893 Bartlett's Test data: Sepal.Length and Species X-squared = 14.625, df = 2, p-value = 0.000667 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `unname(result$statistic)` to equal `unname(statistic)`. Differences: 1/1 mismatches [1] 9.64 - 9.64 == -0.000173 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(...) at testthat-vht.R:32:3 ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `result$p.value` to equal `as.numeric(p.value)`. Differences: 1/1 mismatches [1] 0.00806 - 0.00806 == 6.98e-07 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(result$p.value, as.numeric(p.value), tolerance = tolerance) at testthat-vht.R:33:3 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] Error: ! Test failures. Execution halted Flavor: r-release-macos-arm64

Version: 1.6
Check: tests
Result: ERROR Running ‘testthat.R’ [19s/20s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(vartest) Attaching package: 'vartest' The following objects are masked from 'package:stats': ansari.test, mood.test > > test_check("vartest") ========================================================================================== Test Method | Power | Type I Error | Adj. Power | Evaluation ------------------------------------------------------------------------------------------ Bartlett | 0.9770 | 0.0230 | 0.9905 | Suggested * Hartley (Mean) | 0.9780 | 0.0270 | 0.9892 | - Hartley (Harmonic) | 0.9780 | 0.0270 | 0.9892 | - Hartley (Max n) | 0.9780 | 0.0270 | 0.9892 | - Hartley (Min Var) | 0.9780 | 0.0270 | 0.9892 | - Z Variance | 0.9740 | 0.0230 | 0.9891 | - Modified Z Variance | 0.9810 | 0.0380 | 0.9863 | - Fisher | 0.9910 | 0.0690 | 0.9862 | - Levene (Mean, Sq) | 0.9750 | 0.0400 | 0.9806 | - O'Brien (Mean) | 0.9700 | 0.0360 | 0.9791 | - Levene (Trim, Sq) | 0.9690 | 0.0370 | 0.9777 | - Capon | 0.9680 | 0.0360 | 0.9776 | - O'Brien (Trimmed Mean) | 0.9630 | 0.0340 | 0.9754 | - Klotz | 0.9670 | 0.0400 | 0.9741 | - O'Brien (Median) | 0.9620 | 0.0360 | 0.9731 | - Levene (Med, Sq) | 0.9640 | 0.0380 | 0.9731 | - Levene (Mean, Abs) | 0.9500 | 0.0430 | 0.9570 | - Levene (Trim, Abs) | 0.9480 | 0.0430 | 0.9552 | - Levene (Med, Abs) | 0.9380 | 0.0400 | 0.9499 | - Fligner-Killeen | 0.9290 | 0.0370 | 0.9463 | - Duran | 0.9070 | 0.0470 | 0.9119 | - Mood | 0.8980 | 0.0480 | 0.9015 | - Cochran's C | 0.8230 | 0.0240 | 0.8961 | - G | 0.8230 | 0.0240 | 0.8961 | - Talwar-Gentle | 0.8130 | 0.0450 | 0.8263 | - Ansari-Bradley | 0.8120 | 0.0470 | 0.8199 | - David-Barton | 0.8120 | 0.0470 | 0.8199 | - Siegel-Tukey | 0.8120 | 0.0480 | 0.8173 | - ========================================================================================== * Suggested method yielding the highest adjusted power. Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Ansari Bradley Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Capon Test data: Sepal.Length and Species X-squared = 10.234, df = 2, p-value = 0.005993 David Barton Test data: Sepal.Length and Species X-squared = 9.5137, df = 2, p-value = 0.008593 Duran Test data: Sepal.Length and Species X-squared = 9.6837, df = 2, p-value = 0.007892 Fligner-Killeen Test data: Sepal.Length and Species X-squared = 11.618, df = 2, p-value = 0.003 Klotz Test data: Sepal.Length and Species X-squared = 11.304, df = 2, p-value = 0.00351 Mood Test data: Sepal.Length and Species X-squared = 9.4451, df = 2, p-value = 0.008893 Siegel Tukey Test data: Sepal.Length and Species X-squared = 8.4519, df = 2, p-value = 0.01461 Talwar and Gentle Test data: Sepal.Length and Species X-squared = 9.6413, df = 2, p-value = 0.008062 Saving _problems/testthat-vht-182.R Saving _problems/testthat-vht-182.R Cochran's C Test data: Sepal.Length and Species F = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Modified Z Variance Test data: Sepal.Length and Species F = 8.2779, num df = 2, denom df = Inf, p-value = 0.0002541 Fisher's Test data: Sepal.Length and Species F = 3.2543, num df.virginica = 49, denom df.setosa = 49, p-value = 6.366e-05 G Test data: Sepal.Length and Species F.virginica = 0.50859, num df = 49, denom df = 98, p-value = 0.003456 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Hartley's Maximum F-Ratio Test data: Sepal.Length and Species F-max = 3.2543, df = 49, p-value = 0.0004241 Levene's Test data: Sepal.Length and Species F = 7.3811, num df = 2, denom df = 147, p-value = 0.0008818 Levene's Test data: Sepal.Length and Species F = 6.3527, num df = 2, denom df = 147, p-value = 0.002259 Levene's Test data: Sepal.Length and Species F = 6.7289, num df = 2, denom df = 147, p-value = 0.001599 Levene's Test data: Sepal.Length and Species F = 6.5889, num df = 2, denom df = 147, p-value = 0.001818 Levene's Test data: Sepal.Length and Species F = 6.5612, num df = 2, denom df = 147, p-value = 0.001865 Levene's Test data: Sepal.Length and Species F = 6.5171, num df = 2, denom df = 147, p-value = 0.001942 O'Brien Test data: Sepal.Length and Species F = 6.4537, num df = 2, denom df = 147, p-value = 0.002058 O'Brien Test data: Sepal.Length and Species F = 6.4303, num df = 2, denom df = 147, p-value = 0.002103 O'Brien Test data: Sepal.Length and Species F = 6.385, num df = 2, denom df = 147, p-value = 0.002192 Z Variance Test data: Sepal.Length and Species F = 7.6225, num df = 2, denom df = Inf, p-value = 0.0004893 Bartlett's Test data: Sepal.Length and Species X-squared = 14.625, df = 2, p-value = 0.000667 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 Bartlett's Test data: Sepal.Length and Species X-squared = 16.006, df = 2, p-value = 0.0003345 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `unname(result$statistic)` to equal `unname(statistic)`. Differences: 1/1 mismatches [1] 9.64 - 9.64 == -0.000173 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(...) at testthat-vht.R:32:3 ── Failure ('testthat-vht.R:182:3'): Talwar Gentle test works ────────────────── Expected `result$p.value` to equal `as.numeric(p.value)`. Differences: 1/1 mismatches [1] 0.00806 - 0.00806 == 6.98e-07 Backtrace: ▆ 1. └─vartest (local) expect_matches_reference(result, validation$statistic, validation$p.value) at testthat-vht.R:182:3 2. └─testthat::expect_equal(result$p.value, as.numeric(p.value), tolerance = tolerance) at testthat-vht.R:33:3 [ FAIL 2 | WARN 1 | SKIP 0 | PASS 279 ] Error: ! Test failures. Execution halted Flavor: r-oldrel-macos-arm64