CRAN Package Check Results for Package vartest

Last updated on 2026-08-05 09:50:33 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.6 3.18 141.41 144.59 OK
r-devel-linux-x86_64-debian-gcc 1.6 2.29 87.51 89.80 OK
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 5.00 146.00 151.00 OK
r-patched-linux-x86_64 1.6 4.48 138.80 143.28 OK
r-release-linux-x86_64 1.6 3.78 141.36 145.14 OK
r-release-macos-arm64 1.6 1.00 36.00 37.00 ERROR
r-release-macos-x86_64 1.6 3.00 227.00 230.00 OK
r-release-windows-x86_64 1.6 6.00 151.00 157.00 OK
r-oldrel-macos-arm64 1.6 1.00 39.00 40.00 ERROR
r-oldrel-macos-x86_64 1.6 3.00 257.00 260.00 OK
r-oldrel-windows-x86_64 1.6 7.00 197.00 204.00 OK

Additional issues

M1mac noLD

Check Details

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) | 0.9780 | 0.0210 | 0.9919 | Suggested * Hartley (Harmonic) | 0.9780 | 0.0210 | 0.9919 | Suggested * Hartley (Max n) | 0.9780 | 0.0210 | 0.9919 | Suggested * Hartley (Min Var) | 0.9780 | 0.0210 | 0.9919 | Suggested * Bartlett | 0.9750 | 0.0200 | 0.9911 | - Fisher | 0.9930 | 0.0650 | 0.9900 | - Z Variance | 0.9740 | 0.0220 | 0.9896 | - Modified Z Variance | 0.9770 | 0.0390 | 0.9827 | - Levene (Mean, Sq) | 0.9710 | 0.0450 | 0.9742 | - Levene (Med, Sq) | 0.9620 | 0.0370 | 0.9723 | - O'Brien (Mean) | 0.9680 | 0.0440 | 0.9721 | - O'Brien (Trimmed Mean) | 0.9590 | 0.0350 | 0.9717 | - Capon | 0.9600 | 0.0360 | 0.9716 | - O'Brien (Median) | 0.9580 | 0.0350 | 0.9710 | - Levene (Trim, Sq) | 0.9650 | 0.0430 | 0.9702 | - Klotz | 0.9590 | 0.0390 | 0.9683 | - Levene (Mean, Abs) | 0.9500 | 0.0510 | 0.9490 | - Levene (Trim, Abs) | 0.9420 | 0.0450 | 0.9476 | - Levene (Med, Abs) | 0.9330 | 0.0410 | 0.9444 | - Fligner-Killeen | 0.9180 | 0.0390 | 0.9344 | - Duran | 0.9130 | 0.0500 | 0.9130 | - Mood | 0.9100 | 0.0490 | 0.9116 | - Cochran's C | 0.8320 | 0.0250 | 0.8992 | - G | 0.8320 | 0.0250 | 0.8992 | - Talwar-Gentle | 0.8220 | 0.0470 | 0.8297 | - Siegel-Tukey | 0.8210 | 0.0500 | 0.8210 | - Ansari-Bradley | 0.8180 | 0.0500 | 0.8180 | - David-Barton | 0.8180 | 0.0500 | 0.8180 | - ========================================================================================== * 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/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 ------------------------------------------------------------------------------------------ Fisher | 0.9950 | 0.0780 | 0.9906 | Suggested * Hartley (Mean) | 0.9750 | 0.0290 | 0.9865 | - Hartley (Harmonic) | 0.9750 | 0.0290 | 0.9865 | - Hartley (Max n) | 0.9750 | 0.0290 | 0.9865 | - Hartley (Min Var) | 0.9750 | 0.0290 | 0.9865 | - Bartlett | 0.9720 | 0.0300 | 0.9841 | - Z Variance | 0.9690 | 0.0310 | 0.9816 | - Modified Z Variance | 0.9810 | 0.0490 | 0.9814 | - Levene (Mean, Sq) | 0.9690 | 0.0540 | 0.9663 | - O'Brien (Median) | 0.9580 | 0.0410 | 0.9658 | - O'Brien (Mean) | 0.9660 | 0.0520 | 0.9645 | - Levene (Med, Sq) | 0.9600 | 0.0450 | 0.9642 | - Levene (Trim, Sq) | 0.9630 | 0.0510 | 0.9622 | - O'Brien (Trimmed Mean) | 0.9590 | 0.0470 | 0.9616 | - Capon | 0.9540 | 0.0440 | 0.9596 | - Klotz | 0.9530 | 0.0470 | 0.9559 | - Levene (Trim, Abs) | 0.9340 | 0.0490 | 0.9352 | - Levene (Med, Abs) | 0.9260 | 0.0440 | 0.9342 | - Levene (Mean, Abs) | 0.9420 | 0.0580 | 0.9330 | - Fligner-Killeen | 0.9230 | 0.0430 | 0.9329 | - Duran | 0.9060 | 0.0400 | 0.9225 | - Mood | 0.9030 | 0.0450 | 0.9114 | - Cochran's C | 0.8370 | 0.0310 | 0.8856 | - G | 0.8370 | 0.0310 | 0.8856 | - Siegel-Tukey | 0.8280 | 0.0500 | 0.8280 | - Ansari-Bradley | 0.8260 | 0.0500 | 0.8260 | - David-Barton | 0.8260 | 0.0500 | 0.8260 | - Talwar-Gentle | 0.8220 | 0.0540 | 0.8120 | - ========================================================================================== * 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