Last updated on 2026-07-12 02:51:39 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| 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 | 3.22 | 281.14 | 284.36 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.8 | 9.00 | 718.68 | 727.68 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.8 | 8.00 | 550.67 | 558.67 | ERROR | |
| r-devel-windows-x86_64 | 0.1.8 | 7.00 | 379.00 | 386.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.8 | 4.93 | 407.53 | 412.46 | OK | |
| r-release-linux-x86_64 | 0.1.8 | 5.26 | 408.13 | 413.39 | 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 |
Version: 0.1.8
Check: tests
Result: ERROR
Running ‘testthat.R’ [99s/125s]
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
Version: 0.1.8
Check: tests
Result: ERROR
Running ‘testthat.R’ [4m/12m]
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-fedora-clang
Version: 0.1.8
Check: tests
Result: ERROR
Running ‘testthat.R’ [228s/251s]
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-fedora-gcc
Version: 0.1.8
Check: tests
Result: ERROR
Running 'testthat.R' [124s]
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-windows-x86_64