Last updated on 2026-08-13 00:51:19 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | OK | |||||
| r-devel-linux-x86_64-debian-gcc | 1.6 | 2.93 | 87.41 | 90.34 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.6 | 95.15 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.6 | 95.65 | OK | |||
| r-devel-windows-x86_64 | 1.6 | 5.00 | 188.00 | 193.00 | OK | |
| r-patched-linux-x86_64 | 1.6 | 4.39 | 136.29 | 140.68 | OK | |
| r-release-linux-x86_64 | 1.6 | 3.68 | 136.90 | 140.58 | OK | |
| r-release-macos-arm64 | 1.6 | 1.00 | 37.00 | 38.00 | ERROR | |
| r-release-macos-x86_64 | 1.6 | 3.00 | 227.00 | 230.00 | OK | |
| r-release-windows-x86_64 | 1.6 | 5.00 | 149.00 | 154.00 | 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 | 7.00 | 212.00 | 219.00 | OK |
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
------------------------------------------------------------------------------------------
Bartlett | 0.9730 | 0.0250 | 0.9875 | Suggested *
Z Variance | 0.9720 | 0.0250 | 0.9870 | -
Hartley (Mean) | 0.9770 | 0.0310 | 0.9867 | -
Hartley (Harmonic) | 0.9770 | 0.0310 | 0.9867 | -
Hartley (Max n) | 0.9770 | 0.0310 | 0.9867 | -
Hartley (Min Var) | 0.9770 | 0.0310 | 0.9867 | -
Fisher | 0.9930 | 0.0860 | 0.9853 | -
Modified Z Variance | 0.9730 | 0.0500 | 0.9730 | -
Klotz | 0.9540 | 0.0410 | 0.9624 | -
Levene (Trim, Sq) | 0.9560 | 0.0430 | 0.9623 | -
Levene (Mean, Sq) | 0.9620 | 0.0500 | 0.9620 | -
O'Brien (Mean) | 0.9600 | 0.0480 | 0.9617 | -
O'Brien (Trimmed Mean) | 0.9540 | 0.0420 | 0.9615 | -
Capon | 0.9530 | 0.0420 | 0.9606 | -
Levene (Med, Sq) | 0.9550 | 0.0440 | 0.9605 | -
O'Brien (Median) | 0.9500 | 0.0400 | 0.9600 | -
Levene (Med, Abs) | 0.9330 | 0.0480 | 0.9355 | -
Levene (Trim, Abs) | 0.9380 | 0.0570 | 0.9297 | -
Levene (Mean, Abs) | 0.9410 | 0.0600 | 0.9296 | -
Fligner-Killeen | 0.9110 | 0.0440 | 0.9205 | -
Duran | 0.8940 | 0.0470 | 0.8994 | -
Mood | 0.8970 | 0.0540 | 0.8901 | -
Cochran's C | 0.8230 | 0.0320 | 0.8716 | -
G | 0.8230 | 0.0320 | 0.8716 | -
Talwar-Gentle | 0.8170 | 0.0530 | 0.8094 | -
Siegel-Tukey | 0.8170 | 0.0550 | 0.8044 | -
Ansari-Bradley | 0.8160 | 0.0550 | 0.8033 | -
David-Barton | 0.8160 | 0.0550 | 0.8033 | -
==========================================================================================
* 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-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 | 0.9940 | 0.0720 | 0.9901 | Suggested *
Hartley (Mean) | 0.9750 | 0.0240 | 0.9891 | -
Hartley (Harmonic) | 0.9750 | 0.0240 | 0.9891 | -
Hartley (Max n) | 0.9750 | 0.0240 | 0.9891 | -
Hartley (Min Var) | 0.9750 | 0.0240 | 0.9891 | -
Bartlett | 0.9690 | 0.0230 | 0.9867 | -
Z Variance | 0.9690 | 0.0230 | 0.9867 | -
Modified Z Variance | 0.9830 | 0.0450 | 0.9850 | -
Levene (Mean, Sq) | 0.9680 | 0.0480 | 0.9694 | -
Capon | 0.9590 | 0.0380 | 0.9692 | -
O'Brien (Mean) | 0.9650 | 0.0480 | 0.9665 | -
Levene (Trim, Sq) | 0.9610 | 0.0450 | 0.9651 | -
Klotz | 0.9570 | 0.0410 | 0.9649 | -
O'Brien (Trimmed Mean) | 0.9540 | 0.0430 | 0.9605 | -
Levene (Med, Sq) | 0.9550 | 0.0450 | 0.9596 | -
Levene (Med, Abs) | 0.9330 | 0.0310 | 0.9573 | -
O'Brien (Median) | 0.9510 | 0.0440 | 0.9569 | -
Levene (Trim, Abs) | 0.9390 | 0.0400 | 0.9508 | -
Levene (Mean, Abs) | 0.9440 | 0.0440 | 0.9506 | -
Fligner-Killeen | 0.9200 | 0.0320 | 0.9466 | -
Duran | 0.9000 | 0.0390 | 0.9191 | -
Mood | 0.8960 | 0.0420 | 0.9102 | -
Cochran's C | 0.8290 | 0.0270 | 0.8911 | -
G | 0.8290 | 0.0270 | 0.8911 | -
Ansari-Bradley | 0.8080 | 0.0330 | 0.8564 | -
David-Barton | 0.8080 | 0.0330 | 0.8564 | -
Siegel-Tukey | 0.8080 | 0.0330 | 0.8564 | -
Talwar-Gentle | 0.8060 | 0.0330 | 0.8547 | -
==========================================================================================
* 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