CRAN Package Check Results for Package ulrb

Last updated on 2026-07-11 00:51:57 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	0.1.8	5.06	419.07	424.13	OK
r-devel-linux-x86_64-debian-gcc	0.1.8	3.82	286.18	290.00	ERROR
r-devel-linux-x86_64-fedora-clang	0.1.8	8.00	658.62	666.62	OK
r-devel-linux-x86_64-fedora-gcc	0.1.8	9.00	762.68	771.68	OK
r-devel-windows-x86_64	0.1.8	8.00	352.00	360.00	OK
r-patched-linux-x86_64	0.1.8	4.93	407.53	412.46	OK
r-release-linux-x86_64	0.1.8	4.00	407.49	411.49	OK
r-release-macos-arm64	0.1.8	1.00	102.00	103.00	OK
r-release-macos-x86_64	0.1.8	4.00	612.00	616.00	OK
r-release-windows-x86_64	0.1.8	8.00	349.00	357.00	OK
r-oldrel-macos-arm64	0.1.8				OK
r-oldrel-macos-x86_64	0.1.8	3.00	270.00	273.00	OK
r-oldrel-windows-x86_64	0.1.8	10.00	515.00	525.00	OK

Check Details

Version: 0.1.8
Check: tests
Result: ERROR Running ‘testthat.R’ [104s/126s] 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/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(ulrb) > > test_check("ulrb") Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` If half the observations within a classification are below 0.5 Silhouette score, we consider that the clustering was 'Bad'. Check 'Evaluation' collumn for more details. Joining with `by = join_by(Sample, Level)` If half the observations within a classification are below 0.5 Silhouette score, we consider that the clustering was 'Bad'. Check 'Evaluation' collumn for more details. Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Automatic option set to TRUE, so classification vector was overwritten K= 2 based on Average Silhouette Score. Joining with `by = join_by(Sample, Level)` Automatic option set to TRUE, so classification vector was overwritten K= 9 based on Calinski-Harabasz. Joining with `by = join_by(Sample, Level)` Automatic option set to TRUE, so classification vector was overwritten K= 9 based on Calinski-Harabasz. Joining with `by = join_by(Sample, Level)` Automatic option set to TRUE, so classification vector was overwritten K= 5 based on Average Silhouette Score. Joining with `by = join_by(Sample, Level)` Automatic option set to TRUE, so classification vector was overwritten Joining with `by = join_by(Sample, Level)` Saving _problems/test-define_rb-264.R Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Ignoring unknown labels: * fill : "" Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Joining with `by = join_by(Sample, Level)` Missing argument sample_names. This is a vector with the names of the samples, as in the data input Taxa_id assumes each column is a taxonomic unit. Taxa_id assumes each column is a taxonomic unit. [ FAIL 1 | WARN 235 | SKIP 0 | PASS 153 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test-define_rb.R:263:3'): No warning, if there are no clusters with zero taxa ── Expected `define_rb(no_singles, check_singles = TRUE)` not to throw any warnings. Actually got a <rlang_warning> with message: There were 4 warnings in `mutate()`. The first warning was: i In argument: `pam_object = purrr::map(...)`. i In group 1: `Sample = "ERR2044665"`. Caused by warning in `structure()`: ! Replacing special names '.Names' is deprecated; use 'names' instead. i Run `dplyr::last_dplyr_warnings()` to see the 3 remaining warnings. [ FAIL 1 | WARN 235 | SKIP 0 | PASS 153 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc