CRAN Package Check Results for Package anticlust

Last updated on 2026-05-04 15:51:25 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	0.8.14	12.96	332.33	345.29	OK
r-devel-linux-x86_64-debian-gcc	0.8.14	10.10	222.28	232.38	OK
r-devel-linux-x86_64-fedora-clang	0.8.14	22.00	267.35	289.35	ERROR
r-devel-linux-x86_64-fedora-gcc	0.8.14	24.00	605.19	629.19	OK
r-devel-windows-x86_64	0.8.14	20.00	160.00	180.00	ERROR
r-patched-linux-x86_64	0.8.14	13.66	318.30	331.96	OK
r-release-linux-x86_64	0.8.14	12.91	325.49	338.40	OK
r-release-macos-arm64	0.8.14	4.00	81.00	85.00	OK
r-release-macos-x86_64	0.8.14	11.00	406.00	417.00	OK
r-release-windows-x86_64	0.8.14	23.00	374.00	397.00	OK
r-oldrel-macos-arm64	0.8.14	3.00	81.00	84.00	OK
r-oldrel-macos-x86_64	0.8.14	13.00	437.00	450.00	OK
r-oldrel-windows-x86_64	0.8.14	26.00	429.00	455.00	OK

Check Details

Version: 0.8.14
Check: examples
Result: ERROR Running examples in ‘anticlust-Ex.R’ failed The error most likely occurred in: > ### Name: anticlustering > ### Title: Anticlustering > ### Aliases: anticlustering > > ### ** Examples > > > # Use default method ("exchange") and the default diversity criterion, also include > # a categorical variable via argument `categories`: > anticlusters <- anticlustering( + schaper2019[, 3:6], + K = 3, + categories = schaper2019$room + ) > # Compare feature means and standard deviations by anticluster > mean_sd_tab(schaper2019[, 3:6], anticlusters) rating_consistent rating_inconsistent syllables frequency 1 "4.50 (0.23)" "1.10 (0.07)" "3.47 (0.95)" "18.34 (2.40)" 2 "4.49 (0.27)" "1.12 (0.07)" "3.41 (0.87)" "18.28 (2.47)" 3 "4.49 (0.25)" "1.10 (0.05)" "3.38 (0.98)" "18.31 (2.36)" > # Verify that the "room" is balanced across anticlusters: > table(anticlusters, schaper2019$room) anticlusters bathroom kitchen 1 16 16 2 16 16 3 16 16 > > # Use multiple starts of the algorithm to improve the objective and > # optimize the k-means criterion ("variance") > anticlusters <- anticlustering( + schaper2019[, 3:6], + objective = "variance", + K = 3, + categories = schaper2019$room, + method = "local-maximum", # better search algorithm + repetitions = 20 # multiple restarts of the algorithm + ) > # Compare means and standard deviations by anticluster > mean_sd_tab(schaper2019[, 3:6], anticlusters) rating_consistent rating_inconsistent syllables frequency 1 "4.49 (0.26)" "1.10 (0.07)" "3.41 (0.91)" "18.31 (2.47)" 2 "4.49 (0.25)" "1.10 (0.06)" "3.44 (0.95)" "18.31 (2.39)" 3 "4.49 (0.25)" "1.10 (0.07)" "3.41 (0.95)" "18.31 (2.38)" > > # Use different group sizes and optimize the extended k-means > # criterion ("kplus") > anticlusters <- anticlustering( + schaper2019[, 3:6], + objective = "kplus", + K = c(24, 24, 48), + categories = schaper2019$room, + repetitions = 20, + method = "local-maximum", + standardize = TRUE # ususally recommended + ) > > # Use cannot_link constraints: Element 1 must not be linked with elements 2 to 10: > cl_matrix <- matrix(c(rep(1, 9), 2:10), ncol = 2) > cl <- anticlustering( + schaper2019[, 3:6], + K = 10, + cannot_link = cl_matrix + ) Error in as.data.frame.integer(x[[i]], optional = TRUE) : row names contain missing values Calls: anticlustering ... data.frame -> as.data.frame -> as.data.frame.integer Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-x86_64

Version: 0.8.14
Check: tests
Result: ERROR Running ‘tinytest.R’ [8s/20s] Running the tests in ‘tests/tinytest.R’ failed. Complete output: > > if ( requireNamespace("tinytest", quietly=TRUE) ){ + library(tinytest) + library(anticlust) + tinytest::test_package("anticlust") + } test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 1 tests OK test-2pml.R................... 2 tests OK test-2pml.R................... 3 tests OK test-2pml.R................... 4 tests OK test-2pml.R................... 4 tests OK test-2pml.R................... 4 tests OK test-2pml.R................... 5 tests OK test-2pml.R................... 5 tests OK test-2pml.R................... 6 tests OK test-2pml.R................... 7 tests OK test-2pml.R................... 7 tests OK test-2pml.R................... 7 tests OK test-2pml.R................... 8 tests OK test-2pml.R................... 9 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 11 tests OK test-2pml.R................... 12 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 14 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 16 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK 11.9s test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 1 tests OK test-NAs.R.................... 1 tests OK test-NAs.R.................... 1 tests OK test-NAs.R.................... 2 tests OK 0.5s test-argument-K.R............. 0 tests test-argument-K.R............. 0 tests test-argument-K.R............. 1 tests OK test-argument-K.R............. 2 tests OK test-argument-K.R............. 2 tests OK test-argument-K.R............. 3 tests OK test-argument-K.R............. 3 tests OK test-argument-K.R............. 4 tests OK test-argument-K.R............. 4 tests OK test-argument-K.R............. 5 tests OK test-argument-K.R............. 6 tests OK test-argument-K.R............. 7 tests OK test-argument-K.R............. 8 tests OK test-argument-K.R............. 9 tests OK 0.3s test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests Error in as.data.frame.integer(x[[i]], optional = TRUE) : row names contain missing values Calls: <Anonymous> ... data.frame -> as.data.frame -> as.data.frame.integer In addition: Warning messages: 1: In 1:K : numerical expression has 2 elements: only the first used 2: In 1:K : numerical expression has 6 elements: only the first used Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.8.14
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: --- re-building ‘Anticlustering_in_2025.Rmd’ using rmarkdown --- finished re-building ‘Anticlustering_in_2025.Rmd’ --- re-building ‘Best_practices.Rmd’ using rmarkdown --- finished re-building ‘Best_practices.Rmd’ --- re-building ‘Categorical_vars.Rmd’ using rmarkdown Quitting from Categorical_vars.Rmd:139-159 [unnamed-chunk-11] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `as.data.frame.integer()`: ! row names contain missing values --- Backtrace: ▆ 1. └─anticlust::anticlustering(...) 2. └─anticlust:::blocked_anticlustering(...) 3. └─anticlust:::add_unassigned_elements(...) 4. ├─base::as.data.frame(table(init, useNA = "always")) 5. └─base::as.data.frame.table(table(init, useNA = "always")) 6. ├─base::eval(ex) 7. │ └─base::eval(ex) 8. └─base::data.frame(...) 9. ├─base::as.data.frame(x[[i]], optional = TRUE) 10. └─base::as.data.frame.integer(x[[i]], optional = TRUE) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'Categorical_vars.Rmd' failed with diagnostics: row names contain missing values --- failed re-building ‘Categorical_vars.Rmd’ --- re-building ‘Speeding_up_anticlustering.Rmd’ using rmarkdown --- finished re-building ‘Speeding_up_anticlustering.Rmd’ --- re-building ‘stimulus-selection.Rmd’ using rmarkdown --- finished re-building ‘stimulus-selection.Rmd’ SUMMARY: processing the following file failed: ‘Categorical_vars.Rmd’ Error: Vignette re-building failed. Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-x86_64

Version: 0.8.14
Check: tests
Result: ERROR Running 'tinytest.R' [4s] Running the tests in 'tests/tinytest.R' failed. Complete output: > > if ( requireNamespace("tinytest", quietly=TRUE) ){ + library(tinytest) + library(anticlust) + tinytest::test_package("anticlust") + } test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 0 tests test-2pml.R................... 1 tests OK test-2pml.R................... 2 tests OK test-2pml.R................... 3 tests OK test-2pml.R................... 4 tests OK test-2pml.R................... 4 tests OK test-2pml.R................... 4 tests OK test-2pml.R................... 5 tests OK test-2pml.R................... 5 tests OK test-2pml.R................... 6 tests OK test-2pml.R................... 7 tests OK test-2pml.R................... 7 tests OK test-2pml.R................... 7 tests OK test-2pml.R................... 8 tests OK test-2pml.R................... 9 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 10 tests OK test-2pml.R................... 11 tests OK test-2pml.R................... 12 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 13 tests OK test-2pml.R................... 14 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 15 tests OK test-2pml.R................... 16 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 17 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 18 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 21 tests OK test-2pml.R................... 22 tests OK test-2pml.R................... 22 tests OK test-2pml.R................... 22 tests OK test-2pml.R................... 22 tests OK test-2pml.R................... 22 tests OK 2.0s test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 0 tests test-NAs.R.................... 1 tests OK test-NAs.R.................... 1 tests OK test-NAs.R.................... 1 tests OK test-NAs.R.................... 2 tests OK 44ms test-argument-K.R............. 0 tests test-argument-K.R............. 0 tests test-argument-K.R............. 1 tests OK test-argument-K.R............. 2 tests OK test-argument-K.R............. 2 tests OK test-argument-K.R............. 3 tests OK test-argument-K.R............. 3 tests OK test-argument-K.R............. 4 tests OK test-argument-K.R............. 4 tests OK test-argument-K.R............. 5 tests OK test-argument-K.R............. 6 tests OK test-argument-K.R............. 7 tests OK test-argument-K.R............. 8 tests OK test-argument-K.R............. 9 tests OK 57ms test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests test-blocked-anticlustering.R. 0 tests Error in as.data.frame.integer(x[[i]], optional = TRUE) : row names contain missing values Calls: <Anonymous> ... data.frame -> as.data.frame -> as.data.frame.integer In addition: Warning messages: 1: In 1:K : numerical expression has 2 elements: only the first used 2: In 1:K : numerical expression has 6 elements: only the first used Execution halted Flavor: r-devel-windows-x86_64