CRAN Package Check Results for Package tidycomm

Last updated on 2026-10-27 05:58:31 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	0.4.2	7.92	160.37	168.29	OK
r-devel-linux-x86_64-debian-gcc	0.4.2	5.39	111.22	116.61	OK
r-devel-linux-x86_64-fedora-clang	0.4.2			127.25	OK
r-devel-linux-x86_64-fedora-gcc	0.4.2			110.91	OK
r-devel-windows-x86_64	0.4.2	12.00	206.00	218.00	OK
r-patched-linux-x86_64	0.4.2	7.69	146.41	154.10	OK
r-release-linux-x86_64	0.4.2	6.98	147.36	154.34	ERROR
r-release-macos-arm64	0.4.2	2.00	40.00	42.00	OK
r-release-macos-x86_64	0.4.2	5.00	160.00	165.00	OK
r-release-windows-x86_64	0.4.2	10.00	177.00	187.00	OK
r-oldrel-macos-arm64	0.4.2				OK
r-oldrel-macos-x86_64	0.4.2	5.00	207.00	212.00	OK
r-oldrel-windows-x86_64	0.4.2	14.00	217.00	231.00	OK

Check Details

Version: 0.4.2
Check: tests
Result: ERROR Running ‘testthat.R’ [36s/43s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(tidycomm) Attaching package: 'tidycomm' The following object is masked from 'package:testthat': describe > > test_check("tidycomm") The Spearman correlation may involve tied values (they have the same rank), making it impossible to calculate an exact p-value and dfs. We suggest using Kendall's tau rank correlation, which is tailored to handle tied data. When using Kendall's tau correlation, the df is not applicable. Kendall's tau is based on concordant and discordant pairs of data, rather than on a mathematical distribution that would require the calculation of df. Adding missing grouping variables: `employment` Adding missing grouping variables: `employment` Adding missing grouping variables: `employment` Adding missing grouping variables: `employment` 2026-10-25 01:31:44.880994: Finished reliability computation for trust_politics 2026-10-25 01:31:44.882309: Starting reliability computation for ethical_flexbility (variable 2 of 2). 2026-10-25 01:31:45.114008: Finished reliability computation for ethical_flexbility Saving _problems/test-scaling-26.R The following unassigned values were found in c : cde . They were recoded to the 'other' value ( NA ). When using Kendall's tau correlation, the df is not applicable. Kendall's tau is based on concordant and discordant pairs of data, rather than on a mathematical distribution that would require the calculation of df. When using Kendall's tau correlation, the df is not applicable. Kendall's tau is based on concordant and discordant pairs of data, rather than on a mathematical distribution that would require the calculation of df. The significant result from Levene's test suggests unequal variances among the groups, violating standard t-test assumptions. This necessitates the use of Welch approximation to the degrees of freedom, which is robust against heteroscedasticity. The significant result from Levene's test suggests unequal variances among the groups, violating standard t-test assumptions. This necessitates the use of Welch approximation to the degrees of freedom, which is robust against heteroscedasticity. The significant result from Levene's test suggests unequal variances among the groups, violating standard t-test assumptions. This necessitates the use of Welch approximation to the degrees of freedom, which is robust against heteroscedasticity. The significant result from Levene's test suggests unequal variances among the groups, violating standard ANOVA assumptions. This necessitates the use of Welch's ANOVA, which is robust against heteroscedasticity. The significant result from Levene's test suggests unequal variances among the groups, violating standard ANOVA assumptions. This necessitates the use of Welch's ANOVA, which is robust against heteroscedasticity. The significant result from Levene's test suggests unequal variances among the groups, violating standard t-test assumptions. This necessitates the use of Welch approximation to the degrees of freedom, which is robust against heteroscedasticity. The significant result from Levene's test suggests unequal variances among the groups, violating standard t-test assumptions. This necessitates the use of Welch approximation to the degrees of freedom, which is robust against heteroscedasticity. The significant result from Levene's test suggests unequal variances among the groups, violating standard ANOVA assumptions. This necessitates the use of Welch's ANOVA, which is robust against heteroscedasticity. [ FAIL 1 | WARN 3 | SKIP 0 | PASS 363 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-scaling.R:20:3'): scaling return values work ─────────────────── <tibble_error_incompatible_size/tibble_error/rlang_error/error/condition> Error in `tibble::tibble(a = c(T, F, F, T), b = seq(lubridate::now(), lubridate::now() + lubridate::hours(3), by = "1 hour"), c = seq(lubridate::today(), lubridate::today() + lubridate::days(3), by = "1 day"))`: Tibble columns must have compatible sizes. * Size 4: Existing data. * Size 5: Column `b`. i Only values of size one are recycled. Backtrace: ▆ 1. └─tibble::tibble(...) at test-scaling.R:20:3 2. └─tibble:::tibble_quos(xs, .rows, .name_repair) 3. └─tibble:::vectbl_recycle_rows(...) 4. └─tibble:::abort_incompatible_size(...) 5. └─tibble:::tibble_abort(...) 6. └─rlang::abort(x, class, ..., call = call, parent = parent, use_cli_format = TRUE) [ FAIL 1 | WARN 3 | SKIP 0 | PASS 363 ] Error: ! Test failures. Execution halted Flavor: r-release-linux-x86_64