Last updated on 2026-09-13 02:52:23 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.9.11 | 28.03 | 653.86 | 681.89 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.9.11 | 19.64 | 424.46 | 444.10 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.9.11 | 23.00 | 419.96 | 442.96 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.9.11 | 20.00 | 404.00 | 424.00 | OK | |
| r-devel-windows-x86_64 | 0.9.11 | 35.00 | 638.00 | 673.00 | OK | |
| r-patched-linux-x86_64 | 0.9.11 | 35.14 | 621.59 | 656.73 | OK | |
| r-release-linux-x86_64 | 0.9.11 | 28.75 | 626.07 | 654.82 | OK | |
| r-release-macos-arm64 | 0.9.11 | 6.00 | 110.00 | 116.00 | OK | |
| r-release-macos-x86_64 | 0.9.11 | 22.00 | 393.00 | 415.00 | OK | |
| r-release-windows-x86_64 | 0.9.11 | 36.00 | 642.00 | 678.00 | OK | |
| r-oldrel-macos-arm64 | 0.9.11 | 7.00 | 115.00 | 122.00 | OK | |
| r-oldrel-macos-x86_64 | 0.9.11 | 21.00 | 651.00 | 672.00 | OK | |
| r-oldrel-windows-x86_64 | 0.9.11 | 48.00 | 866.00 | 914.00 | OK |
Version: 0.9.11
Check: tests
Result: ERROR
Running ‘testthat.R’ [162s/209s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> pkg_name <- "tern"
> library(testthat)
> test_check(pkg_name, reporter = ParallelProgressReporter$new())
Loading required package: tern
Loading required package: rtables
Loading required package: formatters
Attaching package: 'formatters'
The following object is masked from 'package:base':
%||%
Loading required package: magrittr
Attaching package: 'magrittr'
The following objects are masked from 'package:testthat':
equals, is_less_than, not
Attaching package: 'rtables'
The following object is masked from 'package:utils':
str
Registered S3 method overwritten by 'tern':
method from
tidy.glm broom
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
✔ | F W S OK | Context
⠋ [ FAIL 0 | WARN 0 | SKIP 0 | PASS 0 ] Starting up...
✔ | 7 7 | abnormal [1.3s]
✔ | 5 10 | abnormal_by_baseline
✔ | 3 4 | abnormal_by_marked [3.0s]
✔ | 2 3 | abnormal_by_worst_grade
✔ | 8 12 | abnormal_lab_worsen_by_baseline [1.2s]
✔ | 31 83 | analyze_variables [7.7s]
✔ | 7 19 | analyze_vars_in_cols [9.3s]
✔ | 2 7 | bland-altman
✔ | 16 | combination_function
✔ | 9 20 | compare_variables [1.3s]
✔ | 1 3 | control_logistic
✔ | 1 4 | control_step
✔ | 3 11 | control_survival
✔ | 8 8 | count_cumulative
✔ | 4 4 | count_missed_doses
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd A.1.1.1.1 -> { dcd A.1.1.1.1, dcd A.1.1.1.1[2], dcd A.1.1.1.1[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd A.1.1.1.2 -> { dcd A.1.1.1.2, dcd A.1.1.1.2[2], dcd A.1.1.1.2[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd B.1.1.1.1 -> { dcd B.1.1.1.1, dcd B.1.1.1.1[2], dcd B.1.1.1.1[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd B.2.1.2.1 -> { dcd B.2.1.2.1, dcd B.2.1.2.1[2], dcd B.2.1.2.1[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd B.2.2.3.1 -> { dcd B.2.2.3.1, dcd B.2.2.3.1[2], dcd B.2.2.3.1[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd C.1.1.1.3 -> { dcd C.1.1.1.3, dcd C.1.1.1.3[2], dcd C.1.1.1.3[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd C.2.1.2.1 -> { dcd C.2.1.2.1, dcd C.2.1.2.1[2], dcd C.2.1.2.1[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd D.1.1.1.1 -> { dcd D.1.1.1.1, dcd D.1.1.1.1[2], dcd D.1.1.1.1[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd D.1.1.4.2 -> { dcd D.1.1.4.2, dcd D.1.1.4.2[2], dcd D.1.1.4.2[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[dcd D.2.1.5.3 -> { dcd D.2.1.5.3, dcd D.2.1.5.3[2], dcd D.2.1.5.3[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[LOW -> { LOW, LOW[2], LOW[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[MEDIUM -> { MEDIUM, MEDIUM[2], MEDIUM[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[HIGH -> { HIGH, HIGH[2], HIGH[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[LOW -> { LOW, LOW[2], LOW[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[MEDIUM -> { MEDIUM, MEDIUM[2], MEDIUM[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[HIGH -> { HIGH, HIGH[2], HIGH[3] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
✔ | 8 20 | count_occurrences [4.6s]
✔ | 17 27 | count_occurrences_by_grade [5.2s]
✔ | 4 4 | count_patients_events_in_cols
✔ | 8 9 | count_patients_with_event [1.4s]
✔ | 11 18 | count_patients_with_flags [2.8s]
✔ | 11 17 | count_values [1.6s]
skipping term strata(ecog.ps)
✔ | 5 15 | coxph
✔ | 24 50 | coxreg [1.4s]
✔ | 2 13 | decorate_grob [2.2s]
✔ | 5 5 | desctools_binom_diff
✔ | 5 26 | df_explicit_na
✔ | 3 7 | estimate_multinomial_rsp
✔ | 18 24 | estimate_proportion [1.2s]
✔ | 3 16 | fit_rsp_step
✔ | 3 12 | fit_survival_step
✔ | 21 40 | formatting_functions
✖ | 3 1 3 15 | g_forest [8.0s]
────────────────────────────────────────────────────────────────────────────────
Failure ('test-g_forest.R:21:3'): g_forest default plot works
Expected `g_forest <- g_forest(tbl)` to run silently.
Actual noise: warnings.
Failure ('test-g_forest.R:48:3'): g_forest works with custom arguments
Expected `... <- NULL` to run silently.
Actual noise: warnings.
Failure ('test-g_forest.R:94:3'): g_forest as_list argument works
Expected `f <- g_forest(tbl, as_list = TRUE)` to run silently.
Actual noise: warnings.
Warning ('test-g_forest.R:106:3'): g_forest argument deprecation warnings work
length of dimension 2 is not a multiple of logical subscript length
Backtrace:
▆
1. ├─lifecycle::expect_deprecated(...) at test-g_forest.R:106:3
2. │ └─testthat::expect_warning(...)
3. │ └─testthat:::expect_condition_matching_(...)
4. │ └─testthat:::quasi_capture(...)
5. │ ├─testthat (local) .capture(...)
6. │ │ └─base::withCallingHandlers(...)
7. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
8. ├─lifecycle::expect_deprecated(...)
9. │ └─testthat::expect_warning(...)
10. │ └─testthat:::expect_condition_matching_(...)
11. │ └─testthat:::quasi_capture(...)
12. │ ├─testthat (local) .capture(...)
13. │ │ └─base::withCallingHandlers(...)
14. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
15. ├─lifecycle::expect_deprecated(...)
16. │ └─testthat::expect_warning(...)
17. │ └─testthat:::expect_condition_matching_(...)
18. │ └─testthat:::quasi_capture(...)
19. │ ├─testthat (local) .capture(...)
20. │ │ └─base::withCallingHandlers(...)
21. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
22. ├─lifecycle::expect_deprecated(...)
23. │ └─testthat::expect_warning(...)
24. │ └─testthat:::expect_condition_matching_(...)
25. │ └─testthat:::quasi_capture(...)
26. │ ├─testthat (local) .capture(...)
27. │ │ └─base::withCallingHandlers(...)
28. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
29. ├─lifecycle::expect_deprecated(...)
30. │ └─testthat::expect_warning(...)
31. │ └─testthat:::expect_condition_matching_(...)
32. │ └─testthat:::quasi_capture(...)
33. │ ├─testthat (local) .capture(...)
34. │ │ └─base::withCallingHandlers(...)
35. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
36. └─tern::g_forest(...)
37. └─tern::rtable2gg(...)
────────────────────────────────────────────────────────────────────────────────
✔ | 9 18 | g_km [12.4s]
✔ | 8 15 | g_lineplot [7.5s]
✔ | 4 16 | g_step
✔ | 2 2 | g_waterfall
✔ | 5 1 | h_adsl_adlb_merge_using_worst_flag
✔ | 2 5 | h_biomarkers_subgroups
✔ | 1 2 | h_format_row
✔ | 5 5 | h_incidence_rate
✔ | 14 27 | h_km [1.2s]
✔ | 16 62 | h_logistic_regression [1.0s]
✔ | 7 7 | h_map_for_count_abnormal
✔ | 2 2 | h_pkparam_sort
✔ | 4 4 | h_response_biomarkers_subgroups
✔ | 14 15 | h_response_subgroups
✔ | 3 8 | h_stack_by_baskets
✔ | 8 62 | h_step [1.3s]
✔ | 3 6 | h_survival_biomarkers_subgroups
✔ | 16 20 | h_survival_duration_subgroups [1.2s]
✔ | 2 0 | imputation_rule
✔ | 8 12 | incidence_rate [2.0s]
✔ | 7 | individual_patient_plot
✔ | 6 22 | logistic_regression [4.2s]
✔ | 7 23 | make_afun
✔ | 8 12 | odds_ratio [1.1s]
✔ | 17 67 | prop_diff [1.7s]
✔ | 7 33 | prune_occurrences [4.3s]
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[root -> { root, root[2] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[biomarker_label -> { biomarker_label, biomarker_label[2] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[root -> { root, root[2] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
✔ | 6 13 | response_biomarkers_subgroups [3.0s]
✔ | 14 19 | response_subgroups [12.4s]
✔ | 5 15 | rtables_access [3.5s]
✔ | 5 8 | score_occurrences [1.8s]
✔ | 15 19 | split_cols_by_groups [1.0s]
✔ | 9 43 | stat
✔ | 5 17 | summarize_ancova [3.2s]
✔ | 5 7 | summarize_change
✔ | 3 3 | summarize_colvars [1.5s]
✔ | 13 23 | summarize_coxreg [11.4s]
✔ | 17 27 | summarize_glm_count [3.0s]
✔ | 17 27 | summarize_num_patients [3.8s]
✔ | 9 9 | summarize_patients_exposure_in_cols [1.5s]
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[root -> { root, root[2] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[biomarker_label -> { biomarker_label, biomarker_label[2] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[root -> { root, root[2] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
Modifying subtable (or row) names to ensure uniqueness among direct siblings
[root -> { root, root[2] }]
To control table names use split_rows_by*(, parent_name =.) or analyze(., table_names = .) when analyzing a single variable, or analyze(., parent_name = .) when analyzing multiple variables in a single call.FALSE
✔ | 7 11 | survival_biomarkers_subgroups [5.7s]
✔ | 10 18 | survival_coxph_pairwise [1.4s]
✔ | 14 21 | survival_duration_subgroups [12.6s]
✔ | 7 17 | survival_time [1.5s]
✔ | 10 11 | survival_timepoint [1.8s]
✔ | 19 47 | test_proportion_diff [2.0s]
✔ | 59 84 | utils [2.1s]
✔ | 42 | utils_checkmate
✔ | 6 47 | utils_default_stats_formats_labels
✔ | 13 32 | utils_factor
✖ | 1 3 2 | utils_ggplot [1.4s]
────────────────────────────────────────────────────────────────────────────────
Failure ('test-utils_ggplot.R:52:3'): rtable2gg works with multiple column splits
Expected `rtable2gg_colsplits <- rtable2gg(tbl)` to run silently.
Actual noise: warnings.
────────────────────────────────────────────────────────────────────────────────
✔ | 8 | utils_grid
✔ | 19 34 | utils_rtables [7.5s]
✔ | 6 13 | utils_split_fun [3.0s]
══ Results ═════════════════════════════════════════════════════════════════════
Duration: 190.8 s
── Skipped tests (716) ─────────────────────────────────────────────────────────
• On CRAN (687): 'test-abnormal.R:1:1', 'test-abnormal.R:27:1',
'test-abnormal.R:54:1', 'test-abnormal.R:83:1', 'test-abnormal.R:106:1',
'test-abnormal.R:137:1', 'test-abnormal.R:163:1',
'test-abnormal_by_baseline.R:1:1', 'test-abnormal_by_baseline.R:28:1',
'test-abnormal_by_baseline.R:59:1', 'test-abnormal_by_baseline.R:83:1',
'test-abnormal_by_baseline.R:97:1', 'test-abnormal_by_marked.R:28:1',
'test-abnormal_by_marked.R:83:1', 'test-abnormal_by_marked.R:192:1',
'test-abnormal_by_worst_grade.R:19:1', 'test-abnormal_by_worst_grade.R:46:1',
'test-abnormal_lab_worsen_by_baseline.R:12:1',
'test-abnormal_lab_worsen_by_baseline.R:67:1',
'test-abnormal_lab_worsen_by_baseline.R:85:1',
'test-abnormal_lab_worsen_by_baseline.R:105:1',
'test-abnormal_lab_worsen_by_baseline.R:125:1',
'test-abnormal_lab_worsen_by_baseline.R:145:1',
'test-abnormal_lab_worsen_by_baseline.R:165:1',
'test-abnormal_lab_worsen_by_baseline.R:187:1',
'test-analyze_variables.R:1:1', 'test-analyze_variables.R:10:1',
'test-analyze_variables.R:26:1', 'test-analyze_variables.R:34:1',
'test-analyze_variables.R:42:1', 'test-analyze_variables.R:57:1',
'test-analyze_variables.R:65:1', 'test-analyze_variables.R:75:1',
'test-analyze_variables.R:84:1', 'test-analyze_variables.R:107:1',
'test-analyze_variables.R:121:1', 'test-analyze_variables.R:130:1',
'test-analyze_variables.R:137:1', 'test-analyze_variables.R:146:1',
'test-analyze_variables.R:156:1', 'test-analyze_variables.R:221:1',
'test-analyze_variables.R:244:1', 'test-analyze_variables.R:282:1',
'test-analyze_variables.R:305:1', 'test-analyze_variables.R:316:1',
'test-analyze_variables.R:331:1', 'test-analyze_variables.R:342:1',
'test-analyze_variables.R:353:1', 'test-analyze_variables.R:373:1',
'test-analyze_variables.R:399:1', 'test-analyze_variables.R:445:1',
'test-analyze_variables.R:458:1', 'test-analyze_variables.R:478:1',
'test-analyze_variables.R:495:1', 'test-analyze_variables.R:513:1',
'test-analyze_variables.R:528:1', 'test-analyze_vars_in_cols.R:3:1',
'test-analyze_vars_in_cols.R:42:1', 'test-analyze_vars_in_cols.R:93:1',
'test-analyze_vars_in_cols.R:148:1', 'test-analyze_vars_in_cols.R:216:1',
'test-analyze_vars_in_cols.R:279:1', 'test-analyze_vars_in_cols.R:384:1',
'test-bland-altman.R:64:1', 'test-compare_variables.R:1:1',
'test-compare_variables.R:12:1', 'test-compare_variables.R:23:1',
'test-compare_variables.R:35:1', 'test-compare_variables.R:60:1',
'test-compare_variables.R:72:1', 'test-compare_variables.R:93:1',
'test-compare_variables.R:103:1', 'test-compare_variables.R:118:1',
'test-control_logistic.R:1:1', 'test-control_step.R:1:1',
'test-control_survival.R:1:1', 'test-control_survival.R:15:1',
'test-control_survival.R:30:1', 'test-count_cumulative.R:1:1',
'test-count_cumulative.R:15:1', 'test-count_cumulative.R:33:1',
'test-count_cumulative.R:47:1', 'test-count_cumulative.R:66:1',
'test-count_cumulative.R:85:1', 'test-count_cumulative.R:107:1',
'test-count_cumulative.R:132:1', 'test-count_missed_doses.R:1:1',
'test-count_missed_doses.R:8:1', 'test-count_missed_doses.R:20:1',
'test-count_missed_doses.R:40:1', 'test-count_occurrences.R:1:1',
'test-count_occurrences.R:57:1', 'test-count_occurrences.R:93:1',
'test-count_occurrences.R:113:1', 'test-count_occurrences.R:139:1',
'test-count_occurrences.R:165:1', 'test-count_occurrences.R:206:1',
'test-count_occurrences.R:234:1', 'test-count_occurrences_by_grade.R:15:1',
'test-count_occurrences_by_grade.R:29:1',
'test-count_occurrences_by_grade.R:43:1',
'test-count_occurrences_by_grade.R:60:1',
'test-count_occurrences_by_grade.R:70:1',
'test-count_occurrences_by_grade.R:121:1',
'test-count_occurrences_by_grade.R:138:1',
'test-count_occurrences_by_grade.R:150:1',
'test-count_occurrences_by_grade.R:166:1',
'test-count_occurrences_by_grade.R:190:1',
'test-count_occurrences_by_grade.R:206:1',
'test-count_occurrences_by_grade.R:246:1',
'test-count_occurrences_by_grade.R:286:1',
'test-count_occurrences_by_grade.R:313:1',
'test-count_occurrences_by_grade.R:412:1',
'test-count_occurrences_by_grade.R:446:1',
'test-count_occurrences_by_grade.R:461:1',
'test-count_patients_events_in_cols.R:11:1',
'test-count_patients_events_in_cols.R:26:1',
'test-count_patients_events_in_cols.R:42:1',
'test-count_patients_events_in_cols.R:58:1',
'test-count_patients_with_event.R:1:1',
'test-count_patients_with_event.R:19:1',
'test-count_patients_with_event.R:38:1',
'test-count_patients_with_event.R:59:1',
'test-count_patients_with_event.R:83:1',
'test-count_patients_with_event.R:115:1',
'test-count_patients_with_event.R:153:1',
'test-count_patients_with_event.R:175:1',
'test-count_patients_with_flags.R:1:1',
'test-count_patients_with_flags.R:19:1',
'test-count_patients_with_flags.R:38:1',
'test-count_patients_with_flags.R:103:1',
'test-count_patients_with_flags.R:128:1',
'test-count_patients_with_flags.R:156:1',
'test-count_patients_with_flags.R:198:1',
'test-count_patients_with_flags.R:246:1',
'test-count_patients_with_flags.R:285:1',
'test-count_patients_with_flags.R:362:1',
'test-count_patients_with_flags.R:404:1', 'test-count_values.R:1:1',
'test-count_values.R:17:1', 'test-count_values.R:33:1',
'test-count_values.R:42:1', 'test-count_values.R:50:1',
'test-count_values.R:58:1', 'test-count_values.R:67:1',
'test-count_values.R:84:1', 'test-count_values.R:94:1',
'test-count_values.R:104:1', 'test-count_values.R:121:1', 'test-coxph.R:1:1',
'test-coxph.R:13:1', 'test-coxph.R:20:1', 'test-coxph.R:47:1',
'test-coxph.R:89:1', 'test-coxreg.R:36:1', 'test-coxreg.R:47:1',
'test-coxreg.R:59:1', 'test-coxreg.R:70:1', 'test-coxreg.R:83:1',
'test-coxreg.R:115:1', 'test-coxreg.R:129:1', 'test-coxreg.R:139:1',
'test-coxreg.R:152:1', 'test-coxreg.R:161:1', 'test-coxreg.R:173:1',
'test-coxreg.R:185:1', 'test-coxreg.R:196:1', 'test-coxreg.R:207:1',
'test-coxreg.R:221:1', 'test-coxreg.R:230:1', 'test-coxreg.R:288:1',
'test-coxreg.R:303:1', 'test-coxreg.R:314:1', 'test-coxreg.R:349:1',
'test-coxreg.R:363:1', 'test-coxreg.R:377:1', 'test-coxreg.R:517:1',
'test-coxreg.R:570:1', 'test-decorate_grob.R:49:1',
'test-desctools_binom_diff.R:12:1', 'test-desctools_binom_diff.R:21:1',
'test-desctools_binom_diff.R:36:1', 'test-desctools_binom_diff.R:45:1',
'test-desctools_binom_diff.R:54:1', 'test-df_explicit_na.R:17:1',
'test-df_explicit_na.R:28:1', 'test-df_explicit_na.R:39:1',
'test-df_explicit_na.R:47:1', 'test-df_explicit_na.R:60:1',
'test-estimate_multinomial_rsp.R:1:1', 'test-estimate_multinomial_rsp.R:9:1',
'test-estimate_multinomial_rsp.R:31:1', 'test-estimate_proportion.R:1:1',
'test-estimate_proportion.R:12:1', 'test-estimate_proportion.R:32:1',
'test-estimate_proportion.R:46:1', 'test-estimate_proportion.R:86:1',
'test-estimate_proportion.R:109:1', 'test-estimate_proportion.R:134:1',
'test-estimate_proportion.R:145:1', 'test-estimate_proportion.R:162:1',
'test-estimate_proportion.R:173:1', 'test-estimate_proportion.R:184:1',
'test-estimate_proportion.R:206:1', 'test-estimate_proportion.R:213:1',
'test-estimate_proportion.R:237:1', 'test-estimate_proportion.R:261:1',
'test-estimate_proportion.R:284:1', 'test-estimate_proportion.R:310:1',
'test-estimate_proportion.R:342:1', 'test-fit_rsp_step.R:14:1',
'test-fit_rsp_step.R:35:1', 'test-fit_rsp_step.R:64:1',
'test-fit_survival_step.R:18:1', 'test-fit_survival_step.R:40:1',
'test-fit_survival_step.R:71:1', 'test-formatting_functions.R:1:1',
'test-formatting_functions.R:8:1', 'test-formatting_functions.R:15:1',
'test-formatting_functions.R:22:1', 'test-formatting_functions.R:29:1',
'test-formatting_functions.R:36:1', 'test-formatting_functions.R:43:1',
'test-formatting_functions.R:55:1', 'test-formatting_functions.R:62:1',
'test-formatting_functions.R:69:1', 'test-formatting_functions.R:76:1',
'test-formatting_functions.R:85:1', 'test-formatting_functions.R:110:1',
'test-formatting_functions.R:119:1', 'test-formatting_functions.R:128:1',
'test-formatting_functions.R:144:1', 'test-formatting_functions.R:153:1',
'test-formatting_functions.R:167:1', 'test-formatting_functions.R:175:1',
'test-formatting_functions.R:184:1', 'test-formatting_functions.R:239:1',
'test-g_step.R:31:1', 'test-g_step.R:45:1',
'test-h_adsl_adlb_merge_using_worst_flag.R:1:1',
'test-h_adsl_adlb_merge_using_worst_flag.R:14:1',
'test-h_adsl_adlb_merge_using_worst_flag.R:28:1',
'test-h_adsl_adlb_merge_using_worst_flag.R:42:1',
'test-h_adsl_adlb_merge_using_worst_flag.R:59:1',
'test-h_biomarkers_subgroups.R:3:1', 'test-h_biomarkers_subgroups.R:29:1',
'test-h_format_row.R:1:1', 'test-h_incidence_rate.R:1:1',
'test-h_incidence_rate.R:8:1', 'test-h_incidence_rate.R:15:1',
'test-h_incidence_rate.R:22:1', 'test-h_incidence_rate.R:29:1',
'test-h_km.R:7:1', 'test-h_km.R:14:1', 'test-h_km.R:21:1',
'test-h_km.R:29:1', 'test-h_km.R:37:1', 'test-h_km.R:52:1',
'test-h_km.R:61:1', 'test-h_km.R:71:1', 'test-h_km.R:80:1',
'test-h_km.R:87:1', 'test-h_km.R:94:1', 'test-h_km.R:120:1',
'test-h_km.R:129:1', 'test-h_km.R:143:1',
'test-h_logistic_regression.R:16:1', 'test-h_logistic_regression.R:33:1',
'test-h_logistic_regression.R:54:1', 'test-h_logistic_regression.R:87:1',
'test-h_logistic_regression.R:122:1', 'test-h_logistic_regression.R:197:1',
'test-h_logistic_regression.R:209:1', 'test-h_logistic_regression.R:221:1',
'test-h_logistic_regression.R:235:1', 'test-h_logistic_regression.R:255:1',
'test-h_logistic_regression.R:288:1', 'test-h_logistic_regression.R:303:1',
'test-h_logistic_regression.R:322:1', 'test-h_logistic_regression.R:344:1',
'test-h_logistic_regression.R:378:1', 'test-h_logistic_regression.R:423:1',
'test-h_map_for_count_abnormal.R:11:1',
'test-h_map_for_count_abnormal.R:30:1',
'test-h_map_for_count_abnormal.R:53:1',
'test-h_map_for_count_abnormal.R:77:1',
'test-h_map_for_count_abnormal.R:103:1',
'test-h_map_for_count_abnormal.R:131:1',
'test-h_map_for_count_abnormal.R:159:1', 'test-h_pkparam_sort.R:1:1',
'test-h_pkparam_sort.R:9:1', 'test-h_response_biomarkers_subgroups.R:15:1',
'test-h_response_biomarkers_subgroups.R:32:1',
'test-h_response_biomarkers_subgroups.R:54:1',
'test-h_response_biomarkers_subgroups.R:72:1',
'test-h_response_subgroups.R:21:1', 'test-h_response_subgroups.R:31:1',
'test-h_response_subgroups.R:48:1', 'test-h_response_subgroups.R:58:1',
'test-h_response_subgroups.R:70:1', 'test-h_response_subgroups.R:82:1',
'test-h_response_subgroups.R:101:1', 'test-h_response_subgroups.R:111:1',
'test-h_response_subgroups.R:125:1', 'test-h_response_subgroups.R:144:1',
'test-h_response_subgroups.R:158:1', 'test-h_response_subgroups.R:170:1',
'test-h_response_subgroups.R:182:1', 'test-h_response_subgroups.R:204:1',
'test-h_stack_by_baskets.R:5:1', 'test-h_stack_by_baskets.R:36:1',
'test-h_stack_by_baskets.R:61:1', 'test-h_step.R:23:1', 'test-h_step.R:50:1',
'test-h_step.R:97:1', 'test-h_step.R:166:1', 'test-h_step.R:218:1',
'test-h_step.R:287:1', 'test-h_step.R:411:1', 'test-h_step.R:447:1',
'test-h_survival_biomarkers_subgroups.R:25:1',
'test-h_survival_biomarkers_subgroups.R:42:1',
'test-h_survival_biomarkers_subgroups.R:60:1',
'test-h_survival_duration_subgroups.R:25:1',
'test-h_survival_duration_subgroups.R:38:1',
'test-h_survival_duration_subgroups.R:58:1',
'test-h_survival_duration_subgroups.R:86:1',
'test-h_survival_duration_subgroups.R:105:1',
'test-h_survival_duration_subgroups.R:130:1',
'test-h_survival_duration_subgroups.R:142:1',
'test-h_survival_duration_subgroups.R:154:1',
'test-h_survival_duration_subgroups.R:173:1',
'test-h_survival_duration_subgroups.R:186:1',
'test-h_survival_duration_subgroups.R:201:1',
'test-h_survival_duration_subgroups.R:215:1',
'test-h_survival_duration_subgroups.R:229:1',
'test-h_survival_duration_subgroups.R:254:1',
'test-h_survival_duration_subgroups.R:266:1',
'test-h_survival_duration_subgroups.R:278:1', 'test-imputation_rule.R:10:1',
'test-imputation_rule.R:28:1', 'test-incidence_rate.R:10:1',
'test-incidence_rate.R:29:1', 'test-incidence_rate.R:46:1',
'test-incidence_rate.R:58:1', 'test-incidence_rate.R:80:1',
'test-incidence_rate.R:93:1', 'test-incidence_rate.R:116:1',
'test-incidence_rate.R:131:1', 'test-logistic_regression.R:142:1',
'test-logistic_regression.R:159:1', 'test-logistic_regression.R:180:1',
'test-logistic_regression.R:214:1', 'test-logistic_regression.R:238:1',
'test-logistic_regression.R:262:1', 'test-make_afun.R:1:1',
'test-make_afun.R:51:1', 'test-make_afun.R:91:1', 'test-make_afun.R:138:1',
'test-make_afun.R:194:1', 'test-make_afun.R:217:1', 'test-make_afun.R:241:1',
'test-odds_ratio.R:1:1', 'test-odds_ratio.R:25:1', 'test-odds_ratio.R:44:1',
'test-odds_ratio.R:61:1', 'test-odds_ratio.R:112:1',
'test-odds_ratio.R:127:1', 'test-odds_ratio.R:148:1',
'test-odds_ratio.R:224:1', 'test-prop_diff.R:1:1', 'test-prop_diff.R:20:1',
'test-prop_diff.R:41:1', 'test-prop_diff.R:71:1', 'test-prop_diff.R:103:1',
'test-prop_diff.R:127:1', 'test-prop_diff.R:151:1', 'test-prop_diff.R:206:1',
'test-prop_diff.R:232:1', 'test-prop_diff.R:316:1', 'test-prop_diff.R:387:3',
'test-prop_diff.R:489:1', 'test-prop_diff.R:510:1', 'test-prop_diff.R:574:1',
'test-prop_diff.R:597:1', 'test-prop_diff.R:621:1', 'test-prop_diff.R:645:1',
'test-prune_occurrences.R:53:1', 'test-prune_occurrences.R:68:1',
'test-prune_occurrences.R:90:1', 'test-prune_occurrences.R:108:1',
'test-prune_occurrences.R:123:1', 'test-prune_occurrences.R:138:1',
'test-prune_occurrences.R:153:1',
'test-response_biomarkers_subgroups.R:22:1',
'test-response_biomarkers_subgroups.R:38:1',
'test-response_biomarkers_subgroups.R:88:1',
'test-response_biomarkers_subgroups.R:109:1',
'test-response_biomarkers_subgroups.R:125:1',
'test-response_biomarkers_subgroups.R:149:1',
'test-response_subgroups.R:21:1', 'test-response_subgroups.R:33:1',
'test-response_subgroups.R:45:1', 'test-response_subgroups.R:69:1',
'test-response_subgroups.R:88:1', 'test-response_subgroups.R:108:1',
'test-response_subgroups.R:128:1', 'test-response_subgroups.R:161:1',
'test-response_subgroups.R:191:1', 'test-response_subgroups.R:211:1',
'test-response_subgroups.R:231:1', 'test-response_subgroups.R:244:1',
'test-response_subgroups.R:265:1', 'test-response_subgroups.R:287:1',
'test-rtables_access.R:12:1', 'test-rtables_access.R:44:1',
'test-rtables_access.R:58:1', 'test-rtables_access.R:72:1',
'test-rtables_access.R:86:1', 'test-score_occurrences.R:82:1',
'test-score_occurrences.R:93:1', 'test-score_occurrences.R:105:1',
'test-score_occurrences.R:116:1', 'test-score_occurrences.R:137:1',
'test-split_cols_by_groups.R:2:1', 'test-split_cols_by_groups.R:16:1',
'test-split_cols_by_groups.R:23:1', 'test-split_cols_by_groups.R:30:1',
'test-split_cols_by_groups.R:37:1', 'test-split_cols_by_groups.R:44:1',
'test-split_cols_by_groups.R:56:1', 'test-split_cols_by_groups.R:71:1',
'test-split_cols_by_groups.R:94:1', 'test-split_cols_by_groups.R:105:1',
'test-split_cols_by_groups.R:123:1', 'test-split_cols_by_groups.R:151:1',
'test-split_cols_by_groups.R:160:1', 'test-split_cols_by_groups.R:169:1',
'test-split_cols_by_groups.R:178:1', 'test-stat.R:1:1', 'test-stat.R:29:1',
'test-stat.R:102:1', 'test-stat.R:125:1', 'test-stat.R:197:1',
'test-stat.R:216:1', 'test-stat.R:269:1', 'test-stat.R:279:1',
'test-stat.R:290:1', 'test-summarize_ancova.R:1:1',
'test-summarize_ancova.R:31:1', 'test-summarize_ancova.R:61:1',
'test-summarize_ancova.R:88:1', 'test-summarize_ancova.R:157:1',
'test-summarize_change.R:1:1', 'test-summarize_change.R:19:1',
'test-summarize_change.R:37:1', 'test-summarize_change.R:56:1',
'test-summarize_change.R:82:1', 'test-summarize_colvars.R:17:1',
'test-summarize_colvars.R:31:1', 'test-summarize_colvars.R:46:1',
'test-summarize_coxreg.R:28:1', 'test-summarize_coxreg.R:39:1',
'test-summarize_coxreg.R:51:1', 'test-summarize_coxreg.R:65:1',
'test-summarize_coxreg.R:81:1', 'test-summarize_coxreg.R:122:1',
'test-summarize_coxreg.R:134:1', 'test-summarize_coxreg.R:148:1',
'test-summarize_coxreg.R:163:1', 'test-summarize_coxreg.R:176:1',
'test-summarize_coxreg.R:188:1', 'test-summarize_coxreg.R:202:1',
'test-summarize_coxreg.R:232:1', 'test-summarize_glm_count.R:1:1',
'test-summarize_glm_count.R:21:1', 'test-summarize_glm_count.R:56:1',
'test-summarize_glm_count.R:76:1', 'test-summarize_glm_count.R:93:1',
'test-summarize_glm_count.R:113:1', 'test-summarize_glm_count.R:147:1',
'test-summarize_glm_count.R:167:1', 'test-summarize_glm_count.R:201:1',
'test-summarize_glm_count.R:222:1', 'test-summarize_glm_count.R:257:1',
'test-summarize_glm_count.R:305:1', 'test-summarize_glm_count.R:327:1',
'test-summarize_glm_count.R:349:1', 'test-summarize_glm_count.R:373:1',
'test-summarize_glm_count.R:411:1', 'test-summarize_glm_count.R:442:1',
'test-summarize_num_patients.R:1:1', 'test-summarize_num_patients.R:9:1',
'test-summarize_num_patients.R:17:1', 'test-summarize_num_patients.R:25:1',
'test-summarize_num_patients.R:36:1', 'test-summarize_num_patients.R:84:1',
'test-summarize_num_patients.R:93:1', 'test-summarize_num_patients.R:102:1',
'test-summarize_num_patients.R:111:1', 'test-summarize_num_patients.R:122:1',
'test-summarize_num_patients.R:133:1', 'test-summarize_num_patients.R:144:1',
'test-summarize_num_patients.R:192:1', 'test-summarize_num_patients.R:212:1',
'test-summarize_num_patients.R:229:1', 'test-summarize_num_patients.R:276:1',
'test-summarize_num_patients.R:305:1',
'test-summarize_patients_exposure_in_cols.R:17:1',
'test-summarize_patients_exposure_in_cols.R:26:1',
'test-summarize_patients_exposure_in_cols.R:39:1',
'test-summarize_patients_exposure_in_cols.R:53:1',
'test-summarize_patients_exposure_in_cols.R:76:1',
'test-summarize_patients_exposure_in_cols.R:100:1',
'test-summarize_patients_exposure_in_cols.R:113:1',
'test-summarize_patients_exposure_in_cols.R:130:1',
'test-summarize_patients_exposure_in_cols.R:149:1',
'test-survival_biomarkers_subgroups.R:22:1',
'test-survival_biomarkers_subgroups.R:39:1',
'test-survival_biomarkers_subgroups.R:70:1',
'test-survival_biomarkers_subgroups.R:91:1',
'test-survival_biomarkers_subgroups.R:108:1',
'test-survival_biomarkers_subgroups.R:132:1',
'test-survival_biomarkers_subgroups.R:156:1',
'test-survival_coxph_pairwise.R:1:1', 'test-survival_coxph_pairwise.R:20:1',
'test-survival_coxph_pairwise.R:39:1', 'test-survival_coxph_pairwise.R:58:1',
'test-survival_coxph_pairwise.R:77:1',
'test-survival_coxph_pairwise.R:134:1',
'test-survival_coxph_pairwise.R:156:1',
'test-survival_coxph_pairwise.R:179:1',
'test-survival_coxph_pairwise.R:201:1',
'test-survival_coxph_pairwise.R:264:1',
'test-survival_duration_subgroups.R:24:1',
'test-survival_duration_subgroups.R:36:1',
'test-survival_duration_subgroups.R:59:1',
'test-survival_duration_subgroups.R:71:1',
'test-survival_duration_subgroups.R:91:1',
'test-survival_duration_subgroups.R:106:1',
'test-survival_duration_subgroups.R:121:1',
'test-survival_duration_subgroups.R:138:1',
'test-survival_duration_subgroups.R:157:1',
'test-survival_duration_subgroups.R:200:1',
'test-survival_duration_subgroups.R:214:1',
'test-survival_duration_subgroups.R:233:1',
'test-survival_duration_subgroups.R:253:1',
'test-survival_duration_subgroups.R:271:1', 'test-survival_time.R:1:1',
'test-survival_time.R:19:1', 'test-survival_time.R:40:1',
'test-survival_time.R:61:1', 'test-survival_time.R:88:1',
'test-survival_time.R:111:1', 'test-survival_time.R:135:1',
'test-survival_timepoint.R:1:1', 'test-survival_timepoint.R:20:1',
'test-survival_timepoint.R:42:1', 'test-survival_timepoint.R:64:1',
'test-survival_timepoint.R:89:1', 'test-survival_timepoint.R:115:1',
'test-survival_timepoint.R:140:1', 'test-survival_timepoint.R:165:1',
'test-survival_timepoint.R:191:1', 'test-survival_timepoint.R:218:1',
'test-test_proportion_diff.R:1:1', 'test-test_proportion_diff.R:23:1',
'test-test_proportion_diff.R:58:1', 'test-test_proportion_diff.R:93:1',
'test-test_proportion_diff.R:118:1', 'test-test_proportion_diff.R:140:1',
'test-test_proportion_diff.R:166:1', 'test-test_proportion_diff.R:191:1',
'test-test_proportion_diff.R:260:1', 'test-test_proportion_diff.R:283:1',
'test-test_proportion_diff.R:307:1', 'test-test_proportion_diff.R:334:1',
'test-test_proportion_diff.R:354:1', 'test-test_proportion_diff.R:376:1',
'test-test_proportion_diff.R:394:1', 'test-test_proportion_diff.R:412:1',
'test-test_proportion_diff.R:432:1', 'test-test_proportion_diff.R:454:1',
'test-test_proportion_diff.R:476:1', 'test-utils.R:1:1', 'test-utils.R:13:1',
'test-utils.R:25:1', 'test-utils.R:33:1', 'test-utils.R:52:1',
'test-utils.R:60:1', 'test-utils.R:68:1', 'test-utils.R:89:1',
'test-utils.R:99:1', 'test-utils.R:108:1', 'test-utils.R:116:1',
'test-utils.R:162:1', 'test-utils.R:176:1', 'test-utils.R:185:1',
'test-utils.R:194:1', 'test-utils.R:206:1', 'test-utils.R:217:1',
'test-utils.R:226:1', 'test-utils.R:238:1', 'test-utils.R:250:1',
'test-utils.R:261:1', 'test-utils.R:270:1', 'test-utils.R:282:1',
'test-utils.R:294:1', 'test-utils.R:305:1', 'test-utils.R:314:1',
'test-utils.R:326:1', 'test-utils.R:338:1', 'test-utils.R:349:1',
'test-utils.R:358:1', 'test-utils.R:370:1', 'test-utils.R:382:1',
'test-utils.R:393:1', 'test-utils.R:402:1', 'test-utils.R:414:1',
'test-utils.R:426:1', 'test-utils.R:440:1', 'test-utils.R:449:1',
'test-utils.R:461:1', 'test-utils.R:473:1', 'test-utils.R:496:1',
'test-utils.R:508:1', 'test-utils.R:520:1', 'test-utils.R:534:1',
'test-utils.R:543:1', 'test-utils.R:555:1', 'test-utils.R:567:1',
'test-utils.R:578:1', 'test-utils.R:587:1', 'test-utils.R:599:1',
'test-utils.R:611:1', 'test-utils.R:625:1', 'test-utils.R:634:1',
'test-utils.R:646:1', 'test-utils.R:658:1', 'test-utils.R:672:1',
'test-utils.R:681:1', 'test-utils.R:693:1', 'test-utils.R:705:1',
'test-utils_default_stats_formats_labels.R:1:1',
'test-utils_default_stats_formats_labels.R:110:1',
'test-utils_default_stats_formats_labels.R:204:1',
'test-utils_default_stats_formats_labels.R:222:1',
'test-utils_default_stats_formats_labels.R:236:1',
'test-utils_default_stats_formats_labels.R:246:1',
'test-utils_factor.R:17:1', 'test-utils_factor.R:28:1',
'test-utils_factor.R:47:1', 'test-utils_factor.R:56:1',
'test-utils_factor.R:69:1', 'test-utils_factor.R:82:1',
'test-utils_factor.R:89:1', 'test-utils_factor.R:110:1',
'test-utils_factor.R:133:1', 'test-utils_factor.R:143:1',
'test-utils_factor.R:154:1', 'test-utils_factor.R:162:1',
'test-utils_factor.R:170:1', 'test-utils_rtables.R:1:1',
'test-utils_rtables.R:39:1', 'test-utils_rtables.R:47:1',
'test-utils_rtables.R:55:1', 'test-utils_rtables.R:69:1',
'test-utils_rtables.R:83:1', 'test-utils_rtables.R:90:1',
'test-utils_rtables.R:97:1', 'test-utils_rtables.R:107:1',
'test-utils_rtables.R:122:1', 'test-utils_rtables.R:147:1',
'test-utils_rtables.R:162:1', 'test-utils_rtables.R:172:1',
'test-utils_rtables.R:192:1', 'test-utils_rtables.R:205:1',
'test-utils_rtables.R:224:1', 'test-utils_rtables.R:231:1',
'test-utils_rtables.R:238:1', 'test-utils_rtables.R:252:1',
'test-utils_split_fun.R:9:1', 'test-utils_split_fun.R:30:1',
'test-utils_split_fun.R:42:1', 'test-utils_split_fun.R:59:1',
'test-utils_split_fun.R:77:1', 'test-utils_split_fun.R:105:1'
• no_plot_snapshots is TRUE (29): 'test-bland-altman.R:103:3',
'test-decorate_grob.R:124:3', 'test-g_forest.R:23:3', 'test-g_forest.R:58:3',
'test-g_forest.R:98:3', 'test-g_km.R:17:3', 'test-g_km.R:30:3',
'test-g_km.R:42:3', 'test-g_km.R:64:3', 'test-g_km.R:79:3',
'test-g_km.R:116:3', 'test-g_km.R:130:3', 'test-g_km.R:149:3',
'test-g_km.R:164:3', 'test-g_lineplot.R:9:3', 'test-g_lineplot.R:32:3',
'test-g_lineplot.R:52:3', 'test-g_lineplot.R:70:3',
'test-g_lineplot.R:101:3', 'test-g_lineplot.R:114:3',
'test-g_lineplot.R:249:3', 'test-g_lineplot.R:273:3', 'test-g_step.R:18:3',
'test-g_step.R:28:3', 'test-g_waterfall.R:7:3', 'test-g_waterfall.R:29:3',
'test-utils_ggplot.R:19:3', 'test-utils_ggplot.R:53:3',
'test-utils_ggplot.R:59:3'
── Failed tests ────────────────────────────────────────────────────────────────
Failure ('test-g_forest.R:21:3'): g_forest default plot works
Expected `g_forest <- g_forest(tbl)` to run silently.
Actual noise: warnings.
Failure ('test-g_forest.R:48:3'): g_forest works with custom arguments
Expected `... <- NULL` to run silently.
Actual noise: warnings.
Failure ('test-g_forest.R:94:3'): g_forest as_list argument works
Expected `f <- g_forest(tbl, as_list = TRUE)` to run silently.
Actual noise: warnings.
Failure ('test-utils_ggplot.R:52:3'): rtable2gg works with multiple column splits
Expected `rtable2gg_colsplits <- rtable2gg(tbl)` to run silently.
Actual noise: warnings.
[ FAIL 4 | WARN 1 | SKIP 716 | PASS 1599 ]
Deleting unused snapshots: 'g_forest/g_forest_custom_2.svg',
'g_forest/g_forest_custom_3.svg', 'g_forest/g_forest_or.svg',
'g_forest/g_forest_plot_only.svg', 'g_km/g_km_crop_ylim_failure.svg',
'g_km/g_km_custom_ylim.svg', 'g_km/g_km_table_only.svg',
'g_lineplot/g_lineplot_table_only.svg', 'g_lineplot/g_lineplot_xlim_ylim.svg',
'g_lineplot/g_lineplot_xticks.svg', 'utils_ggplot/df2gg_cw.svg',
'utils_ggplot/df2gg_fs.svg', 'utils_ggplot/rtable2gg_cw.svg',
'utils_ggplot/rtable2gg_fs.svg', and 'utils_ggplot/rtable2gg_lblpad.svg'
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc