Last updated on 2025-07-12 17:48:24 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.4.5 | 7.31 | 328.52 | 335.83 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.4.5 | 5.20 | 226.37 | 231.57 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.4.5 | 542.24 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.4.5 | 551.40 | ERROR | |||
| r-patched-linux-x86_64 | 1.4.5 | 6.77 | 309.80 | 316.57 | OK | |
| r-release-macos-x86_64 | 1.4.5 | 195.00 | OK | |||
| r-release-windows-x86_64 | 1.4.5 | 10.00 | 306.00 | 316.00 | OK | |
| r-oldrel-macos-x86_64 | 1.4.5 | 207.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.4.5 | 11.00 | 354.00 | 365.00 | OK |
Version: 1.4.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [255s/580s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(extraSuperpower)
>
> test_check("extraSuperpower")
Correlation matrix names assigned based on names from the mean matrix
Correlation matrix names assigned based on names from the mean matrix
Correlation matrix names assigned based on names from the mean matrix
Simulating independent observations experiment
Simulating independent observations experiment
Simulating independent observations experiment
Simulating independent observations experiment
Simulating independent observations experiment
Simulating repeated observations experiment
Simulating repeated observations experiment
Simulating independent observations experiment
Testing power on an independent observations design experiment.
Sample size per group = 9
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 11
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 13
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 15
Performing ANOVA testing on simulated data
Simulating independent observations experiment
Testing power on an independent observations design experiment.
Sample size per group = 6
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing ANOVA testing on simulated data
Simulating independent observations experiment
Testing power on an independent observations design experiment.
Sample size per group = 6
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing ANOVA testing on simulated data
Simulating independent observations experiment
Simulating repeated observations experiment
Testing power on an independent observations design experiment.
Sample size per group = 6
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 6
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 6
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 6
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 6
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing permutation testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 6
Testing power on a repeated observations design experiment.
Sample size = 8
Performing permutation testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 6
Testing power on an independent observations design experiment.
Sample size per group = 8
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 6
Testing power on a repeated observations design experiment.
Sample size = 8
Performing rank testing on simulated data
Simulating independent observations experiment
Testing power on an independent observations design experiment.
Mean sample size per group = 6.5
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Mean sample size per group = 7.5
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Mean sample size per group = 8.5
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Mean sample size per group = 9.5
Performing ANOVA testing on simulated data
Performing ANOVA testing on simulated data
Performing ANOVA testing on simulated data
Performing ANOVA testing on simulated data
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 5
Performing ANOVA testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 5
Performing permutation testing on simulated data
Testing power on an independent observations design experiment.
Sample size per group = 5
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing ANOVA testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing permutation testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing ANOVA testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing permutation testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 10
Performing ANOVA testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 10
Performing permutation testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 10
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 15
Performing rank testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing ANOVA testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing ANOVA testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 15
Performing ANOVA testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing permutation testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 5
Performing permutation testing on simulated data
Testing power on a repeated observations design experiment.
Sample size = 15
Performing permutation testing on simulated data
Testing power on an independent observations design experiment.
Mean sample size per group = 7.1
Performing ANOVA testing on simulated data
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 230 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-twoway_simulation_testing.R:66:3'): correct repeated sample test is performed ──
all(c(per_time > rank_time), c(rank_time > aov_time)) is not TRUE
`actual`: FALSE
`expected`: TRUE
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 230 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc