Running ‘testthat.R’ [3s/19s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(simTool)
  > 
  > test_check("simTool")
  [1] "Estimated replications per hour:  10202361"
  [1] "Estimated replications per hour:  23301688"
  [1] "Estimated replications per hour:  856368"
  
    |                                                                            
    |                                                                      |   0%[1] "With fallback!"
  
    |                                                                            
    |==============                                                        |  20%
    |                                                                            
    |============================                                          |  40%
    |                                                                            
    |==========================================                            |  60%[1] "Estimated replications per hour:  25082216"
  [1] "Estimated replications per hour:  21946939"
  [1] "Estimated replications per hour:  36937"
  [1] "Estimated replications per hour:  3918079"
  [1] "Estimated replications per hour:  393756"
  [1] "Estimated replications per hour:  4642712"
  [1] "Estimated replications per hour:  210110"
  ── 1. Error: Tibbles for data generating functions can be used. Results were cre
  Can't join on 'df' x 'df' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:55
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 2. Error: Tibbles for data generating and data analyzing functions can be use
  Can't join on 'df' x 'df' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:138
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 3. Error: One analyzing function. Results were created and stored in simulati
  Can't join on 'results' x 'results' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:189
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 4. Failure: Simplify the simulation results (@test_eval_tibbles.R#219)  ─────
  eg$simulation not identical to `expected_df`.
  Objects equal but not identical
  
  ── 5. Failure: Post analyze function works (@test_eval_tibbles.R#239)  ─────────
  eg$simulation not identical to `expected_df`.
  Objects equal but not identical
  
  ── 6. Error: Three analyzing functions. Results were created and stored in simul
  Can't join on 'results' x 'results' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:284
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 7. Error: Three analyzing functions and one summary function. Results were cr
  Can't join on 'results' x 'results' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:360
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 8. Error: Three analyzing functions and three summary function. Results were 
  Can't join on 'results' x 'results' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:504
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 9. Error: Three analyzing functions and one summary function over 2 cpus. Res
  Can't join on 'results' x 'results' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:570
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 10. Error: One group for summary_fun. Results were created and stored in simu
  Can't join on 'results' x 'results' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:612
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ── 11. Error: Two groups for summary_fun. Results were created and stored in sim
  Can't join on 'results' x 'results' because of incompatible types (list / list)
  1: expect_identical(eg$simulation, expected_df) at testthat/test_eval_tibbles.R:665
  2: compare(act$val, exp$val)
  3: compare.default(act$val, exp$val)
  4: all.equal(x, y, ...)
  5: all.equal.tbl_df(x, y, ...)
  6: equal_data_frame(target, current, ignore_col_order = ignore_col_order, ignore_row_order = ignore_row_order, 
         convert = convert)
  
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 46 SKIPPED: 0 FAILED: 11
  1. Error: Tibbles for data generating functions can be used. Results were created and stored in simulation (@test_eval_tibbles.R#55) 
  2. Error: Tibbles for data generating and data analyzing functions can be used. Results were created and stored in simulation (@test_eval_tibbles.R#138) 
  3. Error: One analyzing function. Results were created and stored in simulation (@test_eval_tibbles.R#189) 
  4. Failure: Simplify the simulation results (@test_eval_tibbles.R#219) 
  5. Failure: Post analyze function works (@test_eval_tibbles.R#239) 
  6. Error: Three analyzing functions. Results were created and stored in simulation (@test_eval_tibbles.R#284) 
  7. Error: Three analyzing functions and one summary function. Results were created and stored in simulation (@test_eval_tibbles.R#360) 
  8. Error: Three analyzing functions and three summary function. Results were created and stored in simulation (@test_eval_tibbles.R#504) 
  9. Error: Three analyzing functions and one summary function over 2 cpus. Results were created and stored in simulation (@test_eval_tibbles.R#570) 
  1. ...
  
  Error: testthat unit tests failed
  Execution halted