• using R version 4.5.2 Patched (2026-01-31 r89382)
• using platform: aarch64-apple-darwin20
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• checking for file ‘vartest/DESCRIPTION’ ... OK
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• this is package ‘vartest’ version ‘1.6’
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• checking whether package ‘vartest’ can be installed ... [1s/2s] OK See the install log for details.
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• checking whether the package can be unloaded cleanly ... [0s/0s] OK
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• checking for unstated dependencies in ‘tests’ ... OK
• checking tests ... [19s/23s] ERROR   Running ‘testthat.R’ [19s/23s] 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 | 0.9690 | 0.0300 | 0.9822 | Suggested *   Hartley (Mean) | 0.9680 | 0.0310 | 0.9809 | -   Hartley (Harmonic) | 0.9680 | 0.0310 | 0.9809 | -   Hartley (Max n) | 0.9680 | 0.0310 | 0.9809 | -   Hartley (Min Var) | 0.9680 | 0.0310 | 0.9809 | -   Z Variance | 0.9670 | 0.0310 | 0.9803 | -   Modified Z Variance | 0.9740 | 0.0430 | 0.9781 | -   Fisher | 0.9880 | 0.0880 | 0.9753 | -   O'Brien (Trimmed Mean) | 0.9550 | 0.0390 | 0.9651 | -   Levene (Mean, Sq) | 0.9650 | 0.0500 | 0.9650 | -   O'Brien (Mean) | 0.9580 | 0.0450 | 0.9623 | -   Levene (Trim, Sq) | 0.9560 | 0.0430 | 0.9623 | -   Capon | 0.9500 | 0.0380 | 0.9620 | -   Klotz | 0.9480 | 0.0380 | 0.9604 | -   O'Brien (Median) | 0.9500 | 0.0400 | 0.9600 | -   Levene (Med, Sq) | 0.9520 | 0.0420 | 0.9597 | -   Levene (Med, Abs) | 0.9300 | 0.0420 | 0.9405 | -   Levene (Trim, Abs) | 0.9360 | 0.0490 | 0.9372 | -   Fligner-Killeen | 0.9130 | 0.0400 | 0.9286 | -   Levene (Mean, Abs) | 0.9370 | 0.0580 | 0.9274 | -   Duran | 0.8940 | 0.0420 | 0.9084 | -   Mood | 0.8960 | 0.0430 | 0.9084 | -   Cochran's C | 0.8190 | 0.0280 | 0.8806 | -   G | 0.8190 | 0.0280 | 0.8806 | -   Ansari-Bradley | 0.8180 | 0.0470 | 0.8258 | -   David-Barton | 0.8180 | 0.0470 | 0.8258 | -   Siegel-Tukey | 0.8190 | 0.0480 | 0.8241 | -   Talwar-Gentle | 0.8170 | 0.0510 | 0.8144 | -   ==========================================================================================   * 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
• checking PDF version of manual ... [3s/3s] OK
• DONE

Status: 1 ERROR