Running 'spelling.R' [0s/1s]
  Running 'testthat.R' [12s/13s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(pairwiseComparisons)
  > 
  > test_check("pairwiseComparisons")
  -- 1. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (
  df2$statistic not equal to c(...).
  5/6 mismatches (average diff: 3.84)
  [1] 1.275 - 4.78 == -3.51
  [2] 1.062 - 2.44 == -1.38
  [3] 0.152 - 8.01 == -7.86
  [5] 1.123 - 3.23 == -2.11
  [6] 1.214 - 5.57 == -4.36
  
  -- 2. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (
  df2$label not identical to c(...).
  6/6 mismatches
  x[1]: "list(~italic(p)[BY-corrected]==0.850)"
  y[1]: "list(~italic(p)[BY-corrected]==1.44e-05)"
  
  x[2]: "list(~italic(p)[BY-corrected]==0.850)"
  y[2]: "list(~italic(p)[BY-corrected]==0.045)"
  
  x[3]: "list(~italic(p)[BY-corrected]==1.000)"
  y[3]: "list(~italic(p)[BY-corrected]==5.45e-13)"
  
  x[4]: "list(~italic(p)[BY-corrected]==0.297)"
  y[4]: "list(~italic(p)[BY-corrected]==0.050)"
  
  x[5]: "list(~italic(p)[BY-corrected]==0.850)"
  y[5]: "list(~italic(p)[BY-corrected]==0.005)"
  
  -- 3. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (
  df2$significance not identical to c("***", "*", "***", "*", "**", "***").
  6/6 mismatches
  x[1]: "ns"
  y[1]: "***"
  
  x[2]: "ns"
  y[2]: "*"
  
  x[3]: "ns"
  y[3]: "***"
  
  x[4]: "ns"
  y[4]: "*"
  
  x[5]: "ns"
  y[5]: "**"
  
  -- 4. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (
  df2$statistic not equal to c(1.04673405118638, 3.66356917915232, 2.61683512796594).
  3/3 mismatches (average diff: 1.74)
  [1] 2.1148 - 1.05 ==  1.068
  [2] 0.0813 - 3.66 == -3.582
  [3] 2.0335 - 2.62 == -0.583
  
  -- 5. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (
  df2$label not identical to c(...).
  3/3 mismatches
  x[1]: "list(~italic(p)[uncorrected]==0.040)"
  y[1]: "list(~italic(p)[uncorrected]==0.301)"
  
  x[2]: "list(~italic(p)[uncorrected]==0.936)"
  y[2]: "list(~italic(p)[uncorrected]==0.001)"
  
  x[3]: "list(~italic(p)[uncorrected]==0.048)"
  y[3]: "list(~italic(p)[uncorrected]==0.012)"
  
  -- 6. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (
  df2$significance not identical to c("ns", "***", "*").
  2/3 mismatches
  x[1]: "*"
  y[1]: "ns"
  
  x[2]: "ns"
  y[2]: "***"
  
  == testthat results  ===========================================================
  [ OK: 112 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
  1. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (@test-pairwise_comparisons_within.R#86) 
  2. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (@test-pairwise_comparisons_within.R#99) 
  3. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (@test-pairwise_comparisons_within.R#111) 
  4. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (@test-pairwise_comparisons_within.R#264) 
  5. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (@test-pairwise_comparisons_within.R#270) 
  6. Failure: `pairwise_comparisons()` works for within-subjects design - NAs (@test-pairwise_comparisons_within.R#279) 
  
  Error: testthat unit tests failed
  Execution halted