Running 'spelling.R' [0s]
  Running 'testthat.R' [10s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(pairwiseComparisons)
  > 
  > test_check("pairwiseComparisons")
  -- 1. Error: `pairwise_comparisons()` works for between-subjects design (@test-p
  'names' attribute [4] must be the same length as the vector [0]
  1: pairwiseComparisons::pairwise_comparisons(data = ggplot2::msleep, x = vore, y = brainwt, 
         messages = FALSE, type = "np", paired = FALSE, p.adjust.method = "none") at testthat/test-pairwise_comparisons.R:35
  2: jmv::anovaNP(data = data, deps = rlang::as_string(y), group = rlang::as_string(x), 
         pairs = TRUE)
  3: analysis$run()
  4: self$init()
  5: try({
         if (private$.status != "none") 
             return()
         if (!self$options$requiresData) {
         }
         else if (is.null(private$.data)) {
             private$.data <- self$readDataset(TRUE)
             private$.dataProvided <- FALSE
         }
         else {
             if (!is.data.frame(private$.data)) 
                 reject("Argument 'data' must be a data frame")
             private$.data <- select(private$.data, self$options$varsRequired)
         }
         self$options$check(checkValues = TRUE)
         self$results$.update()
         self$options$check(checkVars = TRUE)
         private$.init()
         self$options$check(checkData = TRUE)
     }, silent = TRUE)
  6: eval(expr)
  7: self$results$.update()
  8: item$.update()
  9: self$.createItem(newKey, i)
  10: private$.template$clone(deep = TRUE)
  11: copy_slice(old[[i]], new[[i]], old_new_enclosing_pairs[seq.int(i, length(old))], 
         (i == 1))
  12: as.list.environment(old_slice$binding, all.names = TRUE)
  13: (function () 
     as.data.frame.Table(self))()
  14: as.data.frame.Table(self)
  15: `colnames<-`(`*tmp*`, value = names)
  
  -- 2. Error: `pairwise_comparisons()` messages are correct for between-subjects 
  'names' attribute [4] must be the same length as the vector [0]
  1: capture.output(pairwiseComparisons::pairwise_comparisons(data = ggplot2::msleep, 
         x = vore, y = brainwt, messages = TRUE, type = "np", paired = FALSE, p.adjust.method = "none")) at testthat/test-pairwise_comparisons.R:367
  2: evalVis(expr)
  3: withVisible(eval(expr, pf))
  4: eval(expr, pf)
  5: eval(expr, pf)
  6: pairwiseComparisons::pairwise_comparisons(data = ggplot2::msleep, x = vore, y = brainwt, 
         messages = TRUE, type = "np", paired = FALSE, p.adjust.method = "none")
  7: jmv::anovaNP(data = data, deps = rlang::as_string(y), group = rlang::as_string(x), 
         pairs = TRUE)
  8: analysis$run()
  9: self$init()
  10: try({
         if (private$.status != "none") 
             return()
         if (!self$options$requiresData) {
         }
         else if (is.null(private$.data)) {
             private$.data <- self$readDataset(TRUE)
             private$.dataProvided <- FALSE
         }
         else {
             if (!is.data.frame(private$.data)) 
                 reject("Argument 'data' must be a data frame")
             private$.data <- select(private$.data, self$options$varsRequired)
         }
         self$options$check(checkValues = TRUE)
         self$results$.update()
         self$options$check(checkVars = TRUE)
         private$.init()
         self$options$check(checkData = TRUE)
     }, silent = TRUE)
  11: eval(expr)
  12: self$results$.update()
  13: item$.update()
  14: self$.createItem(newKey, i)
  15: private$.template$clone(deep = TRUE)
  16: copy_slice(old[[i]], new[[i]], old_new_enclosing_pairs[seq.int(i, length(old))], 
         (i == 1))
  17: as.list.environment(old_slice$binding, all.names = TRUE)
  18: (function () 
     as.data.frame.Table(self))()
  19: as.data.frame.Table(self)
  20: `colnames<-`(`*tmp*`, value = names)
  
  Warning: No Bayes Factor pairwise comparisons currently available.
  == testthat results  ===========================================================
  [ OK: 53 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 2 ]
  1. Error: `pairwise_comparisons()` works for between-subjects design (@test-pairwise_comparisons.R#35) 
  2. Error: `pairwise_comparisons()` messages are correct for between-subjects (@test-pairwise_comparisons.R#367) 
  
  Error: testthat unit tests failed
  Execution halted