CRAN Package Check Results for Package ggstatsplot

Last updated on 2022-05-22 03:51:26 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.9.1 12.17 225.94 238.11 ERROR
r-devel-linux-x86_64-debian-gcc 0.9.1 7.94 166.27 174.21 ERROR
r-devel-linux-x86_64-fedora-clang 0.9.2 482.87 OK
r-devel-linux-x86_64-fedora-gcc 0.9.1 283.73 ERROR
r-devel-windows-x86_64 0.9.1 139.00 242.00 381.00 ERROR
r-patched-linux-x86_64 0.9.1 9.71 208.08 217.79 ERROR
r-release-linux-x86_64 0.9.1 7.07 212.79 219.86 ERROR
r-release-macos-arm64 0.9.2 7.00 ERROR
r-release-macos-x86_64 0.9.1 119.00 OK
r-release-windows-x86_64 0.9.1 148.00 222.00 370.00 ERROR
r-oldrel-macos-arm64 0.9.2 78.00 OK
r-oldrel-macos-x86_64 0.9.1 95.00 OK
r-oldrel-windows-ix86+x86_64 0.9.1 33.00 204.00 237.00 ERROR

Check Details

Version: 0.9.1
Check: tests
Result: ERROR
     Running 'spelling.R' [0s/0s]
     Running 'testthat.R' [71s/48s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
    
     == Skipped tests ===============================================================
     * On CRAN (77)
    
     == Failed tests ================================================================
     -- Error (test-extract_stats.R:8:5): checking if extract_stats works -----------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(am, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(mtcars, am, mpg) at test-extract_stats.R:8:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(am, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-ggwithinstats.R:316:7): turning off mean path works -------------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(condition, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggwithinstats(...) at test-ggwithinstats.R:316:6
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(condition, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:10:5): check mcp displays - parametric - significant --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(vore, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:10:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(vore, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:42:5): check mcp displays - non-significant --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:42:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:89:5): check mixed comparison displays - nonparametric --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(genre, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:89:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(genre, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:123:5): check robust test display - FDR-corrected --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(drv, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:123:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(drv, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:154:5): check bayesian test display ---------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(Species, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:154:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(Species, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:181:5): additional test ---------------------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:181:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
    
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.9.1
Check: tests
Result: ERROR
     Running ‘spelling.R’ [0s/1s]
     Running ‘testthat.R’ [50s/55s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
    
     Attaching package: 'statsExpressions'
    
     The following object is masked from 'package:ggstatsplot':
    
     pairwise_comparisons
    
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 9 | WARN 44 | SKIP 77 | PASS 8 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (77)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-ggcoefstats.R:31:5): ggcoefstats with glm with z ────────────────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:31:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:65:5): ggcoefstats with chi-squared statistic model ──
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:65:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:85:5): ggcoefstats with lm model ──────────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., label = ifelse(p.value >= 0.05, NA, label))`: Problem while computing `label = ifelse(p.value >= 0.05, NA, label)`.
     Caused by error in `ifelse()`:
     ! object 'label' not found
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggcoefstats(...) at test-ggcoefstats.R:85:4
     2. │ └─tidy_df %<>% ...
     3. ├─dplyr::mutate(., label = ifelse(p.value >= 0.05, NA, label))
     4. ├─dplyr:::mutate.data.frame(...)
     5. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     6. │ ├─base::withCallingHandlers(...)
     7. │ └─mask$eval_all_mutate(quo)
     8. ├─base::ifelse(p.value >= 0.05, NA, label)
     9. └─base::.handleSimpleError(...)
     10. └─dplyr h(simpleError(msg, call))
     11. └─rlang::abort(...)
     ── Error (test-ggcoefstats.R:135:5): ggcoefstats with partial variants of effect size for f-statistic ──
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:135:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:274:5): CIs missing and palette change message ────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:274:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:422:5): duplicated terms ──────────────────────────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:422:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-pairwise_comparisons_within.R:23:5): `pairwise_comparisons()` works for within-subjects design - NAs ──
     Error in `durbinAllPairsTest.default(x = c(10, 9, 6, 6, 10, 10, 10, 5,
     9, 6, 9, 6, 8.5, 5.5, 6.5, 3, 3, 7.5, 0.5, 2, 10, 10, 10, 10,
     10, 9, 10, 10, 10, 6, 9.5, 9.5, 0, 0, 2.5, 0, 10, 8.5, 7.5, 9.5,
     8.5, 6.5, 8.5, 7, 8.5, 4, 8, 3, 7, 6, 5, 4, 9, 8.5, 8.5, 7, 10,
     10, 6, 2, 10, 7.5, 6, 7.5, 10, 10, 6, 6.5, 9.5, 8.5, 9, 7, 9.5,
     5, 4.5, 3, 7.5, 4.5, 9.5, 2.5, 10, 9, 10, 10, 1.5, 4, 1.5, 0,
     5.5, 4.5, 0.5, 0.5, 10, 3.5, 7.5, 5, 10, 10, 5, 6.5, 8, 8, 9,
     8, 6, 7.5, 10, 3, 10, 6.5, 7, 7.5, 4, 10, 10, 6.5, 6, 8.5, 8.5,
     4.5, 4, 8, 2, 3, 4.5, 2, 10, 6, 10, 7, 10, 4, 10, 10, 7, 4.5,
     9, 10, 7, 7, 9.5, 8, 8.5, 8, 7.5, 7.5, 7.5, 5, 5.5, 0, 2, 2,
     8, 6.5, 7, 7.5, 10, 1, 4, 3.5, 2.5, 0.5, 7.5, 5, 5.5, 9.5, 3.5,
     2, 9.5, 1.5, 8, 4, 3.5, 4.5, 6, 5, 9, 8, 2.5, 5.5, 10, 10, 10,
     10, 9, 4, 8.5, 7, 10, 6, 10, 5.5, 10, 10, 10, 10, 10, 10, 10,
     9.5, 6, 7.5, 4.5, 6, 8.5, 10, 6.5, 7.5, 8, 8, 7.5, 3.5, 7.5,
     5, 7.5, 2.5, 8, 3.5, 9.5, 3.5, 2.5, 10, 8.5, 3, 8.5, 3, 10, 6,
     9.5, 4.5, 8, 5.5, 7, 10, 8, 3, 6, 4, 8.5, 2, 10, 2.5, 9, 4, 10,
     8.5, 10, 9, 10, 10, 10, 10, 5.5, 1, 6, 5.5, 9, 8.5, 8.5, 6, 9,
     9, 9, 9, 6, 7.5, 6, 6, 5.5, 0.5, 6.5, 5, 7, 9, 8, 6, 5.5, 10,
     4, 5.5, 8.5, 9.5, 9.5, 9.5, 10, 8.5, 8, 8, 5, 0, 5, 0, 7, 0.5,
     3, 3, 7.5, 8.5, 7, 7, 5.5, 3.5, 4, 5, 10, 10, 10, 10, 10, 9.5,
     8, 7.5, 6.5, 4.5, 8, 6, 8, 8.5, 7.5, 7, 8.5, 4, 9.5, 6.5, 10,
     10, 10, 6.5, 2, 2, 4, 3, 10, 10, 10, 10, 10, 8.5, 10, 8.5, 10,
     8.5, 10, 1.5, 10, 10, 10, 9, 3, 2, 5.5, 5.5), g = structure(c(1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), levels = c("HDHF",
     "HDLF", "LDHF", "LDLF"), class = "factor"), groups = structure(c(1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), levels = c("HDHF",
     "HDLF", "LDHF", "LDLF"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(10, 9, 6, 6, 10, 10, 10,
     5, 9, 6, 9, 6, 8.5, 5.5, 6.5, 3, 3, 7.5, 0.5, 2, 10, 10,
     10, 10, 10, 9, 10, 10, 10, 6, 9.5, 9.5, 0, 0, 2.5, 0, 10,
     8.5, 7.5, 9.5, 8.5, 6.5, 8.5, 7, 8.5, 4, 8, 3, 7, 6, 5, 4,
     9, 8.5, 8.5, 7, 10, 10, 6, 2, 10, 7.5, 6, 7.5, 10, 10, 6,
     6.5, 9.5, 8.5, 9, 7, 9.5, 5, 4.5, 3, 7.5, 4.5, 9.5, 2.5,
     10, 9, 10, 10, 1.5, 4, 1.5, 0, 5.5, 4.5, 0.5, 0.5, 10, 3.5,
     7.5, 5, 10, 10, 5, 6.5, 8, 8, 9, 8, 6, 7.5, 10, 3, 10, 6.5,
     7, 7.5, 4, 10, 10, 6.5, 6, 8.5, 8.5, 4.5, 4, 8, 2, 3, 4.5,
     2, 10, 6, 10, 7, 10, 4, 10, 10, 7, 4.5, 9, 10, 7, 7, 9.5,
     8, 8.5, 8, 7.5, 7.5, 7.5, 5, 5.5, 0, 2, 2, 8, 6.5, 7, 7.5,
     10, 1, 4, 3.5, 2.5, 0.5, 7.5, 5, 5.5, 9.5, 3.5, 2, 9.5, 1.5,
     8, 4, 3.5, 4.5, 6, 5, 9, 8, 2.5, 5.5, 10, 10, 10, 10, 9,
     4, 8.5, 7, 10, 6, 10, 5.5, 10, 10, 10, 10, 10, 10, 10, 9.5,
     6, 7.5, 4.5, 6, 8.5, 10, 6.5, 7.5, 8, 8, 7.5, 3.5, 7.5, 5,
     7.5, 2.5, 8, 3.5, 9.5, 3.5, 2.5, 10, 8.5, 3, 8.5, 3, 10,
     6, 9.5, 4.5, 8, 5.5, 7, 10, 8, 3, 6, 4, 8.5, 2, 10, 2.5,
     9, 4, 10, 8.5, 10, 9, 10, 10, 10, 10, 5.5, 1, 6, 5.5, 9,
     8.5, 8.5, 6, 9, 9, 9, 9, 6, 7.5, 6, 6, 5.5, 0.5, 6.5, 5,
     7, 9, 8, 6, 5.5, 10, 4, 5.5, 8.5, 9.5, 9.5, 9.5, 10, 8.5,
     8, 8, 5, 0, 5, 0, 7, 0.5, 3, 3, 7.5, 8.5, 7, 7, 5.5, 3.5,
     4, 5, 10, 10, 10, 10, 10, 9.5, 8, 7.5, 6.5, 4.5, 8, 6, 8,
     8.5, 7.5, 7, 8.5, 4, 9.5, 6.5, 10, 10, 10, 6.5, 2, 2, 4,
     3, 10, 10, 10, 10, 10, 8.5, 10, 8.5, 10, 8.5, 10, 1.5, 10,
     10, 10, 9, 3, 2, 5.5, 5.5))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─ggstatsplot::pairwise_comparisons(...) at test-pairwise_comparisons_within.R:23:4
     2. │ ├─... %>% rename(group2 = group1, group1 = group2)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ ├─rlang::exec(...)
     6. │ ├─PMCMRplus `<fn>`(...)
     7. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     8. ├─dplyr::rename(., group2 = group1, group1 = group2)
     9. ├─statsExpressions::tidy_model_parameters(.)
     10. │ ├─... %>% ...
     11. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     12. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     13. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     14. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     15. │ └─dplyr::tbl_vars(.tbl)
     16. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     17. │ │ └─base::structure(...)
     18. │ └─dplyr:::tbl_vars_dispatch(x)
     19. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     20. │ └─dplyr::tbl_vars(.tbl)
     21. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     22. │ │ └─base::structure(...)
     23. │ └─dplyr:::tbl_vars_dispatch(x)
     24. ├─insight::standardize_names(., style = "broom")
     25. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
     ── Error (test-pairwise_comparisons_within.R:97:5): `pairwise_comparisons()` works for within-subjects design - without NAs ──
     Error in `durbinAllPairsTest.default(x = c(5.4, 5.5, 5.55, 5.85, 5.7, 5.75,
     5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45, 5.55, 5.6,
     5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5, 5.85, 5.8, 5.7,
     5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35, 5.45, 5.05, 5, 4.95,
     5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55, 5.55, 5.35, 5.45, 5.5,
     5.55, 5.5, 5.45, 5.25, 5.65, 5.6, 5.4, 5.7, 5.65, 5.55, 6.3,
     6.3, 6.25), g = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A", "Wine B",
     "Wine C"), class = "factor"), groups = structure(c(1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A",
     "Wine B", "Wine C"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(5.4, 5.5, 5.55, 5.85, 5.7,
     5.75, 5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45,
     5.55, 5.6, 5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5,
     5.85, 5.8, 5.7, 5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35,
     5.45, 5.05, 5, 4.95, 5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55,
     5.55, 5.35, 5.45, 5.5, 5.55, 5.5, 5.45, 5.25, 5.65, 5.6,
     5.4, 5.7, 5.65, 5.55, 6.3, 6.3, 6.25))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─ggstatsplot::pairwise_comparisons(...) at test-pairwise_comparisons_within.R:97:4
     2. │ ├─... %>% rename(group2 = group1, group1 = group2)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ ├─rlang::exec(...)
     6. │ ├─PMCMRplus `<fn>`(...)
     7. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     8. ├─dplyr::rename(., group2 = group1, group1 = group2)
     9. ├─statsExpressions::tidy_model_parameters(.)
     10. │ ├─... %>% ...
     11. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     12. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     13. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     14. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     15. │ └─dplyr::tbl_vars(.tbl)
     16. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     17. │ │ └─base::structure(...)
     18. │ └─dplyr:::tbl_vars_dispatch(x)
     19. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     20. │ └─dplyr::tbl_vars(.tbl)
     21. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     22. │ │ └─base::structure(...)
     23. │ └─dplyr:::tbl_vars_dispatch(x)
     24. ├─insight::standardize_names(., style = "broom")
     25. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
     ── Error (test-pairwise_comparisons_within.R:148:5): works with subject id ─────
     Error in `durbinAllPairsTest.default(x = c(5.4, 5.5, 5.55, 5.85, 5.7, 5.75,
     5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45, 5.55, 5.6,
     5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5, 5.85, 5.8, 5.7,
     5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35, 5.45, 5.05, 5, 4.95,
     5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55, 5.55, 5.35, 5.45, 5.5,
     5.55, 5.5, 5.45, 5.25, 5.65, 5.6, 5.4, 5.7, 5.65, 5.55, 6.3,
     6.3, 6.25), g = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A", "Wine B",
     "Wine C"), class = "factor"), groups = structure(c(1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A",
     "Wine B", "Wine C"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(5.4, 5.5, 5.55, 5.85, 5.7,
     5.75, 5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45,
     5.55, 5.6, 5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5,
     5.85, 5.8, 5.7, 5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35,
     5.45, 5.05, 5, 4.95, 5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55,
     5.55, 5.35, 5.45, 5.5, 5.55, 5.5, 5.45, 5.25, 5.65, 5.6,
     5.4, 5.7, 5.65, 5.55, 6.3, 6.3, 6.25))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─purrr::pmap_dfr(...) at test-pairwise_comparisons_within.R:148:4
     2. │ └─purrr::pmap(.l, .f, ...)
     3. │ └─ggstatsplot .f(...)
     4. │ ├─... %>% rename(group2 = group1, group1 = group2)
     5. │ ├─base::suppressWarnings(...)
     6. │ │ └─base::withCallingHandlers(...)
     7. │ ├─rlang::exec(...)
     8. │ ├─PMCMRplus `<fn>`(...)
     9. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     10. ├─dplyr::rename(., group2 = group1, group1 = group2)
     11. ├─statsExpressions::tidy_model_parameters(.)
     12. │ ├─... %>% ...
     13. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     14. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     15. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     16. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     17. │ └─dplyr::tbl_vars(.tbl)
     18. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     19. │ │ └─base::structure(...)
     20. │ └─dplyr:::tbl_vars_dispatch(x)
     21. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     22. │ └─dplyr::tbl_vars(.tbl)
     23. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     24. │ │ └─base::structure(...)
     25. │ └─dplyr:::tbl_vars_dispatch(x)
     26. ├─insight::standardize_names(., style = "broom")
     27. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
    
     [ FAIL 9 | WARN 44 | SKIP 77 | PASS 8 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.9.1
Check: tests
Result: ERROR
     Running ‘spelling.R’
     Running ‘testthat.R’ [87s/72s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (77)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-extract_stats.R:8:5): checking if extract_stats works ───────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(am, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(mtcars, am, mpg) at test-extract_stats.R:8:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(am, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-ggwithinstats.R:316:7): turning off mean path works ─────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(condition, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggwithinstats(...) at test-ggwithinstats.R:316:6
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(condition, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:10:5): check mcp displays - parametric - significant ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(vore, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:10:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(vore, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:42:5): check mcp displays - non-significant ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:42:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:89:5): check mixed comparison displays - nonparametric ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(genre, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:89:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(genre, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:123:5): check robust test display - FDR-corrected ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(drv, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:123:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(drv, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:154:5): check bayesian test display ─────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(Species, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:154:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(Species, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:181:5): additional test ─────────────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:181:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
    
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.9.1
Check: tests
Result: ERROR
     Running 'spelling.R' [0s]
     Running 'testthat.R' [45s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
    
     Attaching package: 'statsExpressions'
    
     The following object is masked from 'package:ggstatsplot':
    
     pairwise_comparisons
    
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 9 | WARN 44 | SKIP 77 | PASS 8 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (77)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-ggcoefstats.R:31:5): ggcoefstats with glm with z ────────────────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:31:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:65:5): ggcoefstats with chi-squared statistic model ──
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:65:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:85:5): ggcoefstats with lm model ──────────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., label = ifelse(p.value >= 0.05, NA, label))`: Problem while computing `label = ifelse(p.value >= 0.05, NA, label)`.
     Caused by error in `ifelse()`:
     ! object 'label' not found
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggcoefstats(...) at test-ggcoefstats.R:85:4
     2. │ └─tidy_df %<>% ...
     3. ├─dplyr::mutate(., label = ifelse(p.value >= 0.05, NA, label))
     4. ├─dplyr:::mutate.data.frame(...)
     5. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     6. │ ├─base::withCallingHandlers(...)
     7. │ └─mask$eval_all_mutate(quo)
     8. ├─base::ifelse(p.value >= 0.05, NA, label)
     9. └─base::.handleSimpleError(...)
     10. └─dplyr h(simpleError(msg, call))
     11. └─rlang::abort(...)
     ── Error (test-ggcoefstats.R:135:5): ggcoefstats with partial variants of effect size for f-statistic ──
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:135:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:274:5): CIs missing and palette change message ────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:274:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:422:5): duplicated terms ──────────────────────────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:422:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-pairwise_comparisons_within.R:23:5): `pairwise_comparisons()` works for within-subjects design - NAs ──
     Error in `durbinAllPairsTest.default(x = c(10, 9, 6, 6, 10, 10, 10, 5,
     9, 6, 9, 6, 8.5, 5.5, 6.5, 3, 3, 7.5, 0.5, 2, 10, 10, 10, 10,
     10, 9, 10, 10, 10, 6, 9.5, 9.5, 0, 0, 2.5, 0, 10, 8.5, 7.5, 9.5,
     8.5, 6.5, 8.5, 7, 8.5, 4, 8, 3, 7, 6, 5, 4, 9, 8.5, 8.5, 7, 10,
     10, 6, 2, 10, 7.5, 6, 7.5, 10, 10, 6, 6.5, 9.5, 8.5, 9, 7, 9.5,
     5, 4.5, 3, 7.5, 4.5, 9.5, 2.5, 10, 9, 10, 10, 1.5, 4, 1.5, 0,
     5.5, 4.5, 0.5, 0.5, 10, 3.5, 7.5, 5, 10, 10, 5, 6.5, 8, 8, 9,
     8, 6, 7.5, 10, 3, 10, 6.5, 7, 7.5, 4, 10, 10, 6.5, 6, 8.5, 8.5,
     4.5, 4, 8, 2, 3, 4.5, 2, 10, 6, 10, 7, 10, 4, 10, 10, 7, 4.5,
     9, 10, 7, 7, 9.5, 8, 8.5, 8, 7.5, 7.5, 7.5, 5, 5.5, 0, 2, 2,
     8, 6.5, 7, 7.5, 10, 1, 4, 3.5, 2.5, 0.5, 7.5, 5, 5.5, 9.5, 3.5,
     2, 9.5, 1.5, 8, 4, 3.5, 4.5, 6, 5, 9, 8, 2.5, 5.5, 10, 10, 10,
     10, 9, 4, 8.5, 7, 10, 6, 10, 5.5, 10, 10, 10, 10, 10, 10, 10,
     9.5, 6, 7.5, 4.5, 6, 8.5, 10, 6.5, 7.5, 8, 8, 7.5, 3.5, 7.5,
     5, 7.5, 2.5, 8, 3.5, 9.5, 3.5, 2.5, 10, 8.5, 3, 8.5, 3, 10, 6,
     9.5, 4.5, 8, 5.5, 7, 10, 8, 3, 6, 4, 8.5, 2, 10, 2.5, 9, 4, 10,
     8.5, 10, 9, 10, 10, 10, 10, 5.5, 1, 6, 5.5, 9, 8.5, 8.5, 6, 9,
     9, 9, 9, 6, 7.5, 6, 6, 5.5, 0.5, 6.5, 5, 7, 9, 8, 6, 5.5, 10,
     4, 5.5, 8.5, 9.5, 9.5, 9.5, 10, 8.5, 8, 8, 5, 0, 5, 0, 7, 0.5,
     3, 3, 7.5, 8.5, 7, 7, 5.5, 3.5, 4, 5, 10, 10, 10, 10, 10, 9.5,
     8, 7.5, 6.5, 4.5, 8, 6, 8, 8.5, 7.5, 7, 8.5, 4, 9.5, 6.5, 10,
     10, 10, 6.5, 2, 2, 4, 3, 10, 10, 10, 10, 10, 8.5, 10, 8.5, 10,
     8.5, 10, 1.5, 10, 10, 10, 9, 3, 2, 5.5, 5.5), g = structure(c(1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), levels = c("HDHF",
     "HDLF", "LDHF", "LDLF"), class = "factor"), groups = structure(c(1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), levels = c("HDHF",
     "HDLF", "LDHF", "LDLF"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(10, 9, 6, 6, 10, 10, 10,
     5, 9, 6, 9, 6, 8.5, 5.5, 6.5, 3, 3, 7.5, 0.5, 2, 10, 10,
     10, 10, 10, 9, 10, 10, 10, 6, 9.5, 9.5, 0, 0, 2.5, 0, 10,
     8.5, 7.5, 9.5, 8.5, 6.5, 8.5, 7, 8.5, 4, 8, 3, 7, 6, 5, 4,
     9, 8.5, 8.5, 7, 10, 10, 6, 2, 10, 7.5, 6, 7.5, 10, 10, 6,
     6.5, 9.5, 8.5, 9, 7, 9.5, 5, 4.5, 3, 7.5, 4.5, 9.5, 2.5,
     10, 9, 10, 10, 1.5, 4, 1.5, 0, 5.5, 4.5, 0.5, 0.5, 10, 3.5,
     7.5, 5, 10, 10, 5, 6.5, 8, 8, 9, 8, 6, 7.5, 10, 3, 10, 6.5,
     7, 7.5, 4, 10, 10, 6.5, 6, 8.5, 8.5, 4.5, 4, 8, 2, 3, 4.5,
     2, 10, 6, 10, 7, 10, 4, 10, 10, 7, 4.5, 9, 10, 7, 7, 9.5,
     8, 8.5, 8, 7.5, 7.5, 7.5, 5, 5.5, 0, 2, 2, 8, 6.5, 7, 7.5,
     10, 1, 4, 3.5, 2.5, 0.5, 7.5, 5, 5.5, 9.5, 3.5, 2, 9.5, 1.5,
     8, 4, 3.5, 4.5, 6, 5, 9, 8, 2.5, 5.5, 10, 10, 10, 10, 9,
     4, 8.5, 7, 10, 6, 10, 5.5, 10, 10, 10, 10, 10, 10, 10, 9.5,
     6, 7.5, 4.5, 6, 8.5, 10, 6.5, 7.5, 8, 8, 7.5, 3.5, 7.5, 5,
     7.5, 2.5, 8, 3.5, 9.5, 3.5, 2.5, 10, 8.5, 3, 8.5, 3, 10,
     6, 9.5, 4.5, 8, 5.5, 7, 10, 8, 3, 6, 4, 8.5, 2, 10, 2.5,
     9, 4, 10, 8.5, 10, 9, 10, 10, 10, 10, 5.5, 1, 6, 5.5, 9,
     8.5, 8.5, 6, 9, 9, 9, 9, 6, 7.5, 6, 6, 5.5, 0.5, 6.5, 5,
     7, 9, 8, 6, 5.5, 10, 4, 5.5, 8.5, 9.5, 9.5, 9.5, 10, 8.5,
     8, 8, 5, 0, 5, 0, 7, 0.5, 3, 3, 7.5, 8.5, 7, 7, 5.5, 3.5,
     4, 5, 10, 10, 10, 10, 10, 9.5, 8, 7.5, 6.5, 4.5, 8, 6, 8,
     8.5, 7.5, 7, 8.5, 4, 9.5, 6.5, 10, 10, 10, 6.5, 2, 2, 4,
     3, 10, 10, 10, 10, 10, 8.5, 10, 8.5, 10, 8.5, 10, 1.5, 10,
     10, 10, 9, 3, 2, 5.5, 5.5))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─ggstatsplot::pairwise_comparisons(...) at test-pairwise_comparisons_within.R:23:4
     2. │ ├─... %>% rename(group2 = group1, group1 = group2)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ ├─rlang::exec(...)
     6. │ ├─PMCMRplus `<fn>`(...)
     7. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     8. ├─dplyr::rename(., group2 = group1, group1 = group2)
     9. ├─statsExpressions::tidy_model_parameters(.)
     10. │ ├─... %>% ...
     11. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     12. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     13. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     14. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     15. │ └─dplyr::tbl_vars(.tbl)
     16. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     17. │ │ └─base::structure(...)
     18. │ └─dplyr:::tbl_vars_dispatch(x)
     19. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     20. │ └─dplyr::tbl_vars(.tbl)
     21. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     22. │ │ └─base::structure(...)
     23. │ └─dplyr:::tbl_vars_dispatch(x)
     24. ├─insight::standardize_names(., style = "broom")
     25. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
     ── Error (test-pairwise_comparisons_within.R:97:5): `pairwise_comparisons()` works for within-subjects design - without NAs ──
     Error in `durbinAllPairsTest.default(x = c(5.4, 5.5, 5.55, 5.85, 5.7, 5.75,
     5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45, 5.55, 5.6,
     5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5, 5.85, 5.8, 5.7,
     5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35, 5.45, 5.05, 5, 4.95,
     5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55, 5.55, 5.35, 5.45, 5.5,
     5.55, 5.5, 5.45, 5.25, 5.65, 5.6, 5.4, 5.7, 5.65, 5.55, 6.3,
     6.3, 6.25), g = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A", "Wine B",
     "Wine C"), class = "factor"), groups = structure(c(1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A",
     "Wine B", "Wine C"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(5.4, 5.5, 5.55, 5.85, 5.7,
     5.75, 5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45,
     5.55, 5.6, 5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5,
     5.85, 5.8, 5.7, 5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35,
     5.45, 5.05, 5, 4.95, 5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55,
     5.55, 5.35, 5.45, 5.5, 5.55, 5.5, 5.45, 5.25, 5.65, 5.6,
     5.4, 5.7, 5.65, 5.55, 6.3, 6.3, 6.25))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─ggstatsplot::pairwise_comparisons(...) at test-pairwise_comparisons_within.R:97:4
     2. │ ├─... %>% rename(group2 = group1, group1 = group2)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ ├─rlang::exec(...)
     6. │ ├─PMCMRplus `<fn>`(...)
     7. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     8. ├─dplyr::rename(., group2 = group1, group1 = group2)
     9. ├─statsExpressions::tidy_model_parameters(.)
     10. │ ├─... %>% ...
     11. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     12. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     13. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     14. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     15. │ └─dplyr::tbl_vars(.tbl)
     16. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     17. │ │ └─base::structure(...)
     18. │ └─dplyr:::tbl_vars_dispatch(x)
     19. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     20. │ └─dplyr::tbl_vars(.tbl)
     21. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     22. │ │ └─base::structure(...)
     23. │ └─dplyr:::tbl_vars_dispatch(x)
     24. ├─insight::standardize_names(., style = "broom")
     25. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
     ── Error (test-pairwise_comparisons_within.R:148:5): works with subject id ─────
     Error in `durbinAllPairsTest.default(x = c(5.4, 5.5, 5.55, 5.85, 5.7, 5.75,
     5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45, 5.55, 5.6,
     5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5, 5.85, 5.8, 5.7,
     5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35, 5.45, 5.05, 5, 4.95,
     5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55, 5.55, 5.35, 5.45, 5.5,
     5.55, 5.5, 5.45, 5.25, 5.65, 5.6, 5.4, 5.7, 5.65, 5.55, 6.3,
     6.3, 6.25), g = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A", "Wine B",
     "Wine C"), class = "factor"), groups = structure(c(1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A",
     "Wine B", "Wine C"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(5.4, 5.5, 5.55, 5.85, 5.7,
     5.75, 5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45,
     5.55, 5.6, 5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5,
     5.85, 5.8, 5.7, 5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35,
     5.45, 5.05, 5, 4.95, 5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55,
     5.55, 5.35, 5.45, 5.5, 5.55, 5.5, 5.45, 5.25, 5.65, 5.6,
     5.4, 5.7, 5.65, 5.55, 6.3, 6.3, 6.25))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─purrr::pmap_dfr(...) at test-pairwise_comparisons_within.R:148:4
     2. │ └─purrr::pmap(.l, .f, ...)
     3. │ └─ggstatsplot .f(...)
     4. │ ├─... %>% rename(group2 = group1, group1 = group2)
     5. │ ├─base::suppressWarnings(...)
     6. │ │ └─base::withCallingHandlers(...)
     7. │ ├─rlang::exec(...)
     8. │ ├─PMCMRplus `<fn>`(...)
     9. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     10. ├─dplyr::rename(., group2 = group1, group1 = group2)
     11. ├─statsExpressions::tidy_model_parameters(.)
     12. │ ├─... %>% ...
     13. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     14. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     15. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     16. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     17. │ └─dplyr::tbl_vars(.tbl)
     18. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     19. │ │ └─base::structure(...)
     20. │ └─dplyr:::tbl_vars_dispatch(x)
     21. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     22. │ └─dplyr::tbl_vars(.tbl)
     23. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     24. │ │ └─base::structure(...)
     25. │ └─dplyr:::tbl_vars_dispatch(x)
     26. ├─insight::standardize_names(., style = "broom")
     27. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
    
     [ FAIL 9 | WARN 44 | SKIP 77 | PASS 8 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-windows-x86_64

Version: 0.9.1
Check: tests
Result: ERROR
     Running ‘spelling.R’ [0s/1s]
     Running ‘testthat.R’ [63s/48s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
    
     Attaching package: 'statsExpressions'
    
     The following object is masked from 'package:ggstatsplot':
    
     pairwise_comparisons
    
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 9 | WARN 44 | SKIP 77 | PASS 8 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (77)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-ggcoefstats.R:31:5): ggcoefstats with glm with z ────────────────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:31:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:65:5): ggcoefstats with chi-squared statistic model ──
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:65:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:85:5): ggcoefstats with lm model ──────────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., label = ifelse(p.value >= 0.05, NA, label))`: Problem while computing `label = ifelse(p.value >= 0.05, NA, label)`.
     Caused by error in `ifelse()`:
     ! object 'label' not found
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggcoefstats(...) at test-ggcoefstats.R:85:4
     2. │ └─tidy_df %<>% ...
     3. ├─dplyr::mutate(., label = ifelse(p.value >= 0.05, NA, label))
     4. ├─dplyr:::mutate.data.frame(...)
     5. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     6. │ ├─base::withCallingHandlers(...)
     7. │ └─mask$eval_all_mutate(quo)
     8. ├─base::ifelse(p.value >= 0.05, NA, label)
     9. └─base::.handleSimpleError(...)
     10. └─dplyr h(simpleError(msg, call))
     11. └─rlang::abort(...)
     ── Error (test-ggcoefstats.R:135:5): ggcoefstats with partial variants of effect size for f-statistic ──
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:135:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:274:5): CIs missing and palette change message ────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:274:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-ggcoefstats.R:422:5): duplicated terms ──────────────────────────
     Error in `FUN(X[[i]], ...)`: object 'label' not found
     Backtrace:
     ▆
     1. ├─ggplot2::ggplot_build(p) at test-ggcoefstats.R:422:4
     2. └─ggplot2:::ggplot_build.ggplot(p)
     3. └─ggplot2 by_layer(function(l, d) l$compute_aesthetics(d, plot))
     4. └─ggplot2 f(l = layers[[i]], d = data[[i]])
     5. └─l$compute_aesthetics(d, plot)
     6. └─ggplot2 f(..., self = self)
     7. └─ggplot2:::scales_add_defaults(...)
     8. └─base::lapply(aesthetics[new_aesthetics], eval_tidy, data = data)
     9. └─rlang FUN(X[[i]], ...)
     ── Error (test-pairwise_comparisons_within.R:23:5): `pairwise_comparisons()` works for within-subjects design - NAs ──
     Error in `durbinAllPairsTest.default(x = c(10, 9, 6, 6, 10, 10, 10, 5,
     9, 6, 9, 6, 8.5, 5.5, 6.5, 3, 3, 7.5, 0.5, 2, 10, 10, 10, 10,
     10, 9, 10, 10, 10, 6, 9.5, 9.5, 0, 0, 2.5, 0, 10, 8.5, 7.5, 9.5,
     8.5, 6.5, 8.5, 7, 8.5, 4, 8, 3, 7, 6, 5, 4, 9, 8.5, 8.5, 7, 10,
     10, 6, 2, 10, 7.5, 6, 7.5, 10, 10, 6, 6.5, 9.5, 8.5, 9, 7, 9.5,
     5, 4.5, 3, 7.5, 4.5, 9.5, 2.5, 10, 9, 10, 10, 1.5, 4, 1.5, 0,
     5.5, 4.5, 0.5, 0.5, 10, 3.5, 7.5, 5, 10, 10, 5, 6.5, 8, 8, 9,
     8, 6, 7.5, 10, 3, 10, 6.5, 7, 7.5, 4, 10, 10, 6.5, 6, 8.5, 8.5,
     4.5, 4, 8, 2, 3, 4.5, 2, 10, 6, 10, 7, 10, 4, 10, 10, 7, 4.5,
     9, 10, 7, 7, 9.5, 8, 8.5, 8, 7.5, 7.5, 7.5, 5, 5.5, 0, 2, 2,
     8, 6.5, 7, 7.5, 10, 1, 4, 3.5, 2.5, 0.5, 7.5, 5, 5.5, 9.5, 3.5,
     2, 9.5, 1.5, 8, 4, 3.5, 4.5, 6, 5, 9, 8, 2.5, 5.5, 10, 10, 10,
     10, 9, 4, 8.5, 7, 10, 6, 10, 5.5, 10, 10, 10, 10, 10, 10, 10,
     9.5, 6, 7.5, 4.5, 6, 8.5, 10, 6.5, 7.5, 8, 8, 7.5, 3.5, 7.5,
     5, 7.5, 2.5, 8, 3.5, 9.5, 3.5, 2.5, 10, 8.5, 3, 8.5, 3, 10, 6,
     9.5, 4.5, 8, 5.5, 7, 10, 8, 3, 6, 4, 8.5, 2, 10, 2.5, 9, 4, 10,
     8.5, 10, 9, 10, 10, 10, 10, 5.5, 1, 6, 5.5, 9, 8.5, 8.5, 6, 9,
     9, 9, 9, 6, 7.5, 6, 6, 5.5, 0.5, 6.5, 5, 7, 9, 8, 6, 5.5, 10,
     4, 5.5, 8.5, 9.5, 9.5, 9.5, 10, 8.5, 8, 8, 5, 0, 5, 0, 7, 0.5,
     3, 3, 7.5, 8.5, 7, 7, 5.5, 3.5, 4, 5, 10, 10, 10, 10, 10, 9.5,
     8, 7.5, 6.5, 4.5, 8, 6, 8, 8.5, 7.5, 7, 8.5, 4, 9.5, 6.5, 10,
     10, 10, 6.5, 2, 2, 4, 3, 10, 10, 10, 10, 10, 8.5, 10, 8.5, 10,
     8.5, 10, 1.5, 10, 10, 10, 9, 3, 2, 5.5, 5.5), g = structure(c(1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), levels = c("HDHF",
     "HDLF", "LDHF", "LDLF"), class = "factor"), groups = structure(c(1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L,
     2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), levels = c("HDHF",
     "HDLF", "LDHF", "LDLF"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(10, 9, 6, 6, 10, 10, 10,
     5, 9, 6, 9, 6, 8.5, 5.5, 6.5, 3, 3, 7.5, 0.5, 2, 10, 10,
     10, 10, 10, 9, 10, 10, 10, 6, 9.5, 9.5, 0, 0, 2.5, 0, 10,
     8.5, 7.5, 9.5, 8.5, 6.5, 8.5, 7, 8.5, 4, 8, 3, 7, 6, 5, 4,
     9, 8.5, 8.5, 7, 10, 10, 6, 2, 10, 7.5, 6, 7.5, 10, 10, 6,
     6.5, 9.5, 8.5, 9, 7, 9.5, 5, 4.5, 3, 7.5, 4.5, 9.5, 2.5,
     10, 9, 10, 10, 1.5, 4, 1.5, 0, 5.5, 4.5, 0.5, 0.5, 10, 3.5,
     7.5, 5, 10, 10, 5, 6.5, 8, 8, 9, 8, 6, 7.5, 10, 3, 10, 6.5,
     7, 7.5, 4, 10, 10, 6.5, 6, 8.5, 8.5, 4.5, 4, 8, 2, 3, 4.5,
     2, 10, 6, 10, 7, 10, 4, 10, 10, 7, 4.5, 9, 10, 7, 7, 9.5,
     8, 8.5, 8, 7.5, 7.5, 7.5, 5, 5.5, 0, 2, 2, 8, 6.5, 7, 7.5,
     10, 1, 4, 3.5, 2.5, 0.5, 7.5, 5, 5.5, 9.5, 3.5, 2, 9.5, 1.5,
     8, 4, 3.5, 4.5, 6, 5, 9, 8, 2.5, 5.5, 10, 10, 10, 10, 9,
     4, 8.5, 7, 10, 6, 10, 5.5, 10, 10, 10, 10, 10, 10, 10, 9.5,
     6, 7.5, 4.5, 6, 8.5, 10, 6.5, 7.5, 8, 8, 7.5, 3.5, 7.5, 5,
     7.5, 2.5, 8, 3.5, 9.5, 3.5, 2.5, 10, 8.5, 3, 8.5, 3, 10,
     6, 9.5, 4.5, 8, 5.5, 7, 10, 8, 3, 6, 4, 8.5, 2, 10, 2.5,
     9, 4, 10, 8.5, 10, 9, 10, 10, 10, 10, 5.5, 1, 6, 5.5, 9,
     8.5, 8.5, 6, 9, 9, 9, 9, 6, 7.5, 6, 6, 5.5, 0.5, 6.5, 5,
     7, 9, 8, 6, 5.5, 10, 4, 5.5, 8.5, 9.5, 9.5, 9.5, 10, 8.5,
     8, 8, 5, 0, 5, 0, 7, 0.5, 3, 3, 7.5, 8.5, 7, 7, 5.5, 3.5,
     4, 5, 10, 10, 10, 10, 10, 9.5, 8, 7.5, 6.5, 4.5, 8, 6, 8,
     8.5, 7.5, 7, 8.5, 4, 9.5, 6.5, 10, 10, 10, 6.5, 2, 2, 4,
     3, 10, 10, 10, 10, 10, 8.5, 10, 8.5, 10, 8.5, 10, 1.5, 10,
     10, 10, 9, 3, 2, 5.5, 5.5))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─ggstatsplot::pairwise_comparisons(...) at test-pairwise_comparisons_within.R:23:4
     2. │ ├─... %>% rename(group2 = group1, group1 = group2)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ ├─rlang::exec(...)
     6. │ ├─PMCMRplus `<fn>`(...)
     7. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     8. ├─dplyr::rename(., group2 = group1, group1 = group2)
     9. ├─statsExpressions::tidy_model_parameters(.)
     10. │ ├─... %>% ...
     11. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     12. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     13. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     14. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     15. │ └─dplyr::tbl_vars(.tbl)
     16. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     17. │ │ └─base::structure(...)
     18. │ └─dplyr:::tbl_vars_dispatch(x)
     19. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     20. │ └─dplyr::tbl_vars(.tbl)
     21. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     22. │ │ └─base::structure(...)
     23. │ └─dplyr:::tbl_vars_dispatch(x)
     24. ├─insight::standardize_names(., style = "broom")
     25. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
     ── Error (test-pairwise_comparisons_within.R:97:5): `pairwise_comparisons()` works for within-subjects design - without NAs ──
     Error in `durbinAllPairsTest.default(x = c(5.4, 5.5, 5.55, 5.85, 5.7, 5.75,
     5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45, 5.55, 5.6,
     5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5, 5.85, 5.8, 5.7,
     5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35, 5.45, 5.05, 5, 4.95,
     5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55, 5.55, 5.35, 5.45, 5.5,
     5.55, 5.5, 5.45, 5.25, 5.65, 5.6, 5.4, 5.7, 5.65, 5.55, 6.3,
     6.3, 6.25), g = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A", "Wine B",
     "Wine C"), class = "factor"), groups = structure(c(1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A",
     "Wine B", "Wine C"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(5.4, 5.5, 5.55, 5.85, 5.7,
     5.75, 5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45,
     5.55, 5.6, 5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5,
     5.85, 5.8, 5.7, 5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35,
     5.45, 5.05, 5, 4.95, 5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55,
     5.55, 5.35, 5.45, 5.5, 5.55, 5.5, 5.45, 5.25, 5.65, 5.6,
     5.4, 5.7, 5.65, 5.55, 6.3, 6.3, 6.25))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─ggstatsplot::pairwise_comparisons(...) at test-pairwise_comparisons_within.R:97:4
     2. │ ├─... %>% rename(group2 = group1, group1 = group2)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ ├─rlang::exec(...)
     6. │ ├─PMCMRplus `<fn>`(...)
     7. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     8. ├─dplyr::rename(., group2 = group1, group1 = group2)
     9. ├─statsExpressions::tidy_model_parameters(.)
     10. │ ├─... %>% ...
     11. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     12. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     13. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     14. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     15. │ └─dplyr::tbl_vars(.tbl)
     16. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     17. │ │ └─base::structure(...)
     18. │ └─dplyr:::tbl_vars_dispatch(x)
     19. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     20. │ └─dplyr::tbl_vars(.tbl)
     21. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     22. │ │ └─base::structure(...)
     23. │ └─dplyr:::tbl_vars_dispatch(x)
     24. ├─insight::standardize_names(., style = "broom")
     25. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
     ── Error (test-pairwise_comparisons_within.R:148:5): works with subject id ─────
     Error in `durbinAllPairsTest.default(x = c(5.4, 5.5, 5.55, 5.85, 5.7, 5.75,
     5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45, 5.55, 5.6,
     5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5, 5.85, 5.8, 5.7,
     5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35, 5.45, 5.05, 5, 4.95,
     5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55, 5.55, 5.35, 5.45, 5.5,
     5.55, 5.5, 5.45, 5.25, 5.65, 5.6, 5.4, 5.7, 5.65, 5.55, 6.3,
     6.3, 6.25), g = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A", "Wine B",
     "Wine C"), class = "factor"), groups = structure(c(1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L,
     2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L,
     3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L,
     1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), levels = c("Wine A",
     "Wine B", "Wine C"), class = "factor"), blocks = NULL, paired = TRUE,
     p.adjust.method = "none", y = c(5.4, 5.5, 5.55, 5.85, 5.7,
     5.75, 5.2, 5.6, 5.5, 5.55, 5.5, 5.4, 5.9, 5.85, 5.7, 5.45,
     5.55, 5.6, 5.4, 5.4, 5.35, 5.45, 5.5, 5.35, 5.25, 5.15, 5,
     5.85, 5.8, 5.7, 5.25, 5.2, 5.1, 5.65, 5.55, 5.45, 5.6, 5.35,
     5.45, 5.05, 5, 4.95, 5.5, 5.5, 5.4, 5.45, 5.55, 5.5, 5.55,
     5.55, 5.35, 5.45, 5.5, 5.55, 5.5, 5.45, 5.25, 5.65, 5.6,
     5.4, 5.7, 5.65, 5.55, 6.3, 6.3, 6.25))`: 'y', 'groups' and 'blocks' must have the same length
     Backtrace:
     ▆
     1. ├─purrr::pmap_dfr(...) at test-pairwise_comparisons_within.R:148:4
     2. │ └─purrr::pmap(.l, .f, ...)
     3. │ └─ggstatsplot .f(...)
     4. │ ├─... %>% rename(group2 = group1, group1 = group2)
     5. │ ├─base::suppressWarnings(...)
     6. │ │ └─base::withCallingHandlers(...)
     7. │ ├─rlang::exec(...)
     8. │ ├─PMCMRplus `<fn>`(...)
     9. │ └─PMCMRplus:::durbinAllPairsTest.default(...)
     10. ├─dplyr::rename(., group2 = group1, group1 = group2)
     11. ├─statsExpressions::tidy_model_parameters(.)
     12. │ ├─... %>% ...
     13. │ └─parameters::model_parameters(model, verbose = FALSE, ...)
     14. ├─dplyr::mutate(., across(matches("bf10"), ~log(.x), .names = "log_e_{.col}"))
     15. ├─tidyr::fill(., matches("^prior|^bf"), .direction = "updown")
     16. ├─dplyr::rename_all(., .funs = recode, bayes.factor = "bf10")
     17. │ └─dplyr::tbl_vars(.tbl)
     18. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     19. │ │ └─base::structure(...)
     20. │ └─dplyr:::tbl_vars_dispatch(x)
     21. ├─dplyr::rename_all(., ~gsub("cramers.", "", .x))
     22. │ └─dplyr::tbl_vars(.tbl)
     23. │ ├─dplyr:::new_sel_vars(tbl_vars_dispatch(x), group_vars(x))
     24. │ │ └─base::structure(...)
     25. │ └─dplyr:::tbl_vars_dispatch(x)
     26. ├─insight::standardize_names(., style = "broom")
     27. └─dplyr::select(., where(~!all(is.na(.x))), -matches("Difference"))
    
     [ FAIL 9 | WARN 44 | SKIP 77 | PASS 8 ]
     Error: Test failures
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.9.1
Check: tests
Result: ERROR
     Running ‘spelling.R’ [0s/0s]
     Running ‘testthat.R’ [65s/43s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (77)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-extract_stats.R:8:5): checking if extract_stats works ───────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(am, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(mtcars, am, mpg) at test-extract_stats.R:8:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(am, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-ggwithinstats.R:316:7): turning off mean path works ─────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(condition, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggwithinstats(...) at test-ggwithinstats.R:316:6
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(condition, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:10:5): check mcp displays - parametric - significant ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(vore, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:10:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(vore, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:42:5): check mcp displays - non-significant ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:42:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:89:5): check mixed comparison displays - nonparametric ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(genre, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:89:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(genre, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:123:5): check robust test display - FDR-corrected ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(drv, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:123:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(drv, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:154:5): check bayesian test display ─────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(Species, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:154:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(Species, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:181:5): additional test ─────────────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:181:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
    
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
     Error: Test failures
     Execution halted
Flavor: r-release-linux-x86_64

Version: 0.9.2
Check: package dependencies
Result: ERROR
    Packages required and available but unsuitable versions:
     'insight', 'statsExpressions'
    
    See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
    manual.
Flavor: r-release-macos-arm64

Version: 0.9.1
Check: tests
Result: ERROR
     Running 'spelling.R' [0s]
     Running 'testthat.R' [41s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (77)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test-extract_stats.R:8:5): checking if extract_stats works ───────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(am, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(mtcars, am, mpg) at test-extract_stats.R:8:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(am, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-ggwithinstats.R:316:7): turning off mean path works ─────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(condition, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggwithinstats(...) at test-ggwithinstats.R:316:6
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(condition, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:10:5): check mcp displays - parametric - significant ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(vore, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:10:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(vore, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:42:5): check mcp displays - non-significant ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:42:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:89:5): check mixed comparison displays - nonparametric ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(genre, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:89:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(genre, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:123:5): check robust test display - FDR-corrected ──
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(drv, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:123:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(drv, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:154:5): check bayesian test display ─────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(Species, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:154:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(Species, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
     ── Error (test-pairwise_ggsignif.R:181:5): additional test ─────────────────────
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     ▆
     1. ├─ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:181:4
     2. │ └─ggstatsplot:::centrality_ggrepel(...)
     3. │ ├─base::suppressWarnings(...)
     4. │ │ └─base::withCallingHandlers(...)
     5. │ └─statsExpressions::centrality_description(...)
     6. │ └─... %>% ...
     7. ├─dplyr::select(...)
     8. ├─dplyr::arrange(...)
     9. ├─dplyr::mutate(...)
     10. ├─dplyr:::mutate.data.frame(...)
     11. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. │ ├─base::withCallingHandlers(...)
     13. │ └─mask$eval_all_mutate(quo)
     14. ├─base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. ├─statsExpressions:::.prettyNum(n)
     16. │ └─base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. │ └─base::vapply(...)
     18. └─base::.handleSimpleError(...)
     19. └─dplyr h(simpleError(msg, call))
     20. └─rlang::abort(...)
    
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
     Error: Test failures
     Execution halted
Flavor: r-release-windows-x86_64

Version: 0.9.1
Check: tests
Result: ERROR
     Running 'spelling.R' [0s]
     Running 'testthat.R' [42s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(ggstatsplot)
     You can cite this package as:
     Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach.
     Journal of Open Source Software, 6(61), 3167, doi:10.21105/joss.03167
     > library(statsExpressions)
     >
     > test_check("ggstatsplot")
     Starting 2 test processes
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
    
     == Skipped tests ===============================================================
     * On CRAN (77)
    
     == Failed tests ================================================================
     -- Error (test-extract_stats.R:8:5): checking if extract_stats works -----------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(am, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(mtcars, am, mpg) at test-extract_stats.R:8:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(am, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-ggwithinstats.R:316:7): turning off mean path works -------------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(condition, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggwithinstats(...) at test-ggwithinstats.R:316:6
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(condition, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:10:5): check mcp displays - parametric - significant --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(vore, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:10:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(vore, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:42:5): check mcp displays - non-significant --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:42:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:89:5): check mixed comparison displays - nonparametric --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(genre, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:89:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(genre, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:123:5): check robust test display - FDR-corrected --
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(drv, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:123:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(drv, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:154:5): check bayesian test display ---------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(Species, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:154:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(Species, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
     -- Error (test-pairwise_ggsignif.R:181:5): additional test ---------------------
     <dplyr:::mutate_error/rlang_error/error/condition>
     Error in `mutate(., expression = glue("widehat(mu)[{centrality}]=='{format_value(estimate, k)}'"),
     n_label = paste0({
     {
     x
     }
     }, "\n(n = ", .prettyNum(n), ")"))`: Problem while computing `n_label = paste0(mpaa, "\n(n = ", .prettyNum(n), ")")`.
     Caused by error in `vapply()`:
     ! values must be length 1,
     but FUN(X[[1]]) result is length 3
     Backtrace:
     x
     1. +-ggstatsplot::ggbetweenstats(...) at test-pairwise_ggsignif.R:181:4
     2. | \-ggstatsplot:::centrality_ggrepel(...)
     3. | +-base::suppressWarnings(...)
     4. | | \-base::withCallingHandlers(...)
     5. | \-statsExpressions::centrality_description(...)
     6. | \-... %>% ...
     7. +-dplyr::select(...)
     8. +-dplyr::arrange(...)
     9. +-dplyr::mutate(...)
     10. +-dplyr:::mutate.data.frame(...)
     11. | \-dplyr:::mutate_cols(.data, dplyr_quosures(...), caller_env = caller_env())
     12. | +-base::withCallingHandlers(...)
     13. | \-mask$eval_all_mutate(quo)
     14. +-base::paste0(mpaa, "\n(n = ", .prettyNum(n), ")")
     15. +-statsExpressions:::.prettyNum(n)
     16. | \-base::prettyNum(x, big.mark = ",", scientific = FALSE)
     17. | \-base::vapply(...)
     18. \-base::.handleSimpleError(...)
     19. \-dplyr h(simpleError(msg, call))
     20. \-rlang::abort(...)
    
     [ FAIL 8 | WARN 6 | SKIP 77 | PASS 7 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64