fix grob wrapping final

[Melkiades]

Fixes #1287

I hope this is a wrap (:D). @BFalquet could take a look if it works on your side? Result may be numerically different but this is the real solution to the issue.

On another note, we need to consider uniforming \\n to \n if it happens. I now know it is not always assumed the same and we have mixed behavior around the packages. I will check this for {rtables}. I was able to break wrapping by doing this.

[github-actions]

Unit Tests Summary

    1 files     83 suites   1m 16s ⏱️
  851 tests   839 ✅  12 💤 0 ❌
1 828 runs  1 150 ✅ 678 💤 0 ❌

Results for commit cc0c161.

♻️ This comment has been updated with latest results.

[github-actions]

Unit Test Performance Difference

Additional test case details

Test Suite	$Status$	Time on main	$±Time$	Test Case
decorate_grob	👶		$+0.02$	Wrapping_works_consistently

Results for commit bf9e148

♻️ This comment has been updated with latest results.

[Melkiades]

On ocean I do not get the same mismatch (4.3.3). Could it be different grid version??

[github-actions]

Code Coverage Summary

Filename                                   Stmts    Miss  Cover    Missing
---------------------------------------  -------  ------  -------  ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
R/abnormal_by_baseline.R                      65       0  100.00%
R/abnormal_by_marked.R                        55       5  90.91%   92-96
R/abnormal_by_worst_grade_worsen.R           116       3  97.41%   262-264
R/abnormal_by_worst_grade.R                   60       0  100.00%
R/abnormal.R                                  43       0  100.00%
R/analyze_variables.R                        162       3  98.15%   488, 512, 628
R/analyze_vars_in_cols.R                     176      33  81.25%   178, 201-206, 221, 235-236, 244-252, 258-264, 343-349
R/bland_altman.R                              92       1  98.91%   43
R/combination_function.R                       9       0  100.00%
R/compare_variables.R                         84       5  94.05%   139-143, 255, 314
R/control_incidence_rate.R                    10       0  100.00%
R/control_logistic.R                           7       0  100.00%
R/control_step.R                              23       1  95.65%   58
R/control_survival.R                          15       0  100.00%
R/count_cumulative.R                          50       1  98.00%   73
R/count_missed_doses.R                        34       0  100.00%
R/count_occurrences_by_grade.R               113       5  95.58%   111, 161-163, 166
R/count_occurrences.R                        115       1  99.13%   115
R/count_patients_events_in_cols.R             67       1  98.51%   59
R/count_patients_with_event.R                 47       0  100.00%
R/count_patients_with_flags.R                 58       4  93.10%   63-64, 69-70
R/count_values.R                              27       0  100.00%
R/cox_regression_inter.R                     154       0  100.00%
R/cox_regression.R                           161       0  100.00%
R/coxph.R                                    167       7  95.81%   191-195, 238, 253, 261, 267-268
R/d_pkparam.R                                406       0  100.00%
R/decorate_grob.R                            113       0  100.00%
R/desctools_binom_diff.R                     621      64  89.69%   53, 88-89, 125-126, 129, 199, 223-232, 264, 266, 286, 290, 294, 298, 353, 356, 359, 362, 422, 430, 439, 444-447, 454, 457, 466, 469, 516-517, 519-520, 522-523, 525-526, 593, 604-616, 620, 663, 676, 680
R/df_explicit_na.R                            30       0  100.00%
R/estimate_multinomial_rsp.R                  50       1  98.00%   64
R/estimate_proportion.R                      205      12  94.15%   82-89, 93, 98, 319, 485, 591
R/fit_rsp_step.R                              36       0  100.00%
R/fit_survival_step.R                         36       0  100.00%
R/formatting_functions.R                     183       2  98.91%   143, 278
R/g_forest.R                                 585      60  89.74%   241, 253-256, 261-262, 276, 278, 288-291, 336-339, 346, 415, 502, 515, 519-520, 525-526, 539, 555, 602, 633, 708, 717, 723, 742, 797-817, 820, 831, 850, 905, 908, 1043-1048
R/g_ipp.R                                    133       0  100.00%
R/g_km.R                                     350      57  83.71%   286-289, 308-310, 364-367, 401, 429, 433-476, 483-487
R/g_lineplot.R                               243      23  90.53%   196, 370-377, 416-426, 518, 524, 526
R/g_step.R                                    68       1  98.53%   109
R/g_waterfall.R                               47       0  100.00%
R/h_adsl_adlb_merge_using_worst_flag.R        73       0  100.00%
R/h_biomarkers_subgroups.R                    46       0  100.00%
R/h_cox_regression.R                         110       0  100.00%
R/h_km.R                                     508      41  91.93%   137, 189-194, 287, 378, 380-381, 392-394, 413, 420-421, 423-425, 433-435, 460, 465-468, 651-654, 1108-1119
R/h_logistic_regression.R                    468       3  99.36%   203-204, 273
R/h_map_for_count_abnormal.R                  54       0  100.00%
R/h_pkparam_sort.R                            15       0  100.00%
R/h_response_biomarkers_subgroups.R           90      12  86.67%   50-55, 107-112
R/h_response_subgroups.R                     178      18  89.89%   257-270, 329-334
R/h_stack_by_baskets.R                        64       1  98.44%   89
R/h_step.R                                   180       0  100.00%
R/h_survival_biomarkers_subgroups.R           88       6  93.18%   111-116
R/h_survival_duration_subgroups.R            207      18  91.30%   259-271, 336-341
R/imputation_rule.R                           17       2  88.24%   54-55
R/incidence_rate.R                           100       7  93.00%   47-54
R/logistic_regression.R                      102       0  100.00%
R/missing_data.R                              21       3  85.71%   32, 66, 76
R/odds_ratio.R                               109       0  100.00%
R/prop_diff_test.R                            91       0  100.00%
R/prop_diff.R                                265      16  93.96%   69-72, 104, 289-296, 439, 499, 604
R/prune_occurrences.R                         57      10  82.46%   138-142, 188-192
R/response_biomarkers_subgroups.R             69       6  91.30%   196-201
R/response_subgroups.R                       213      12  94.37%   100-105, 260-261, 336, 387-389
R/riskdiff.R                                  65       7  89.23%   102-105, 114, 124-125
R/rtables_access.R                            38       4  89.47%   159-162
R/score_occurrences.R                         20       1  95.00%   124
R/split_cols_by_groups.R                      49       0  100.00%
R/stat.R                                      59       3  94.92%   73-74, 129
R/summarize_ancova.R                         106       2  98.11%   182, 187
R/summarize_change.R                          30       0  100.00%
R/summarize_colvars.R                         10       0  100.00%
R/summarize_coxreg.R                         172       2  98.84%   203, 430
R/summarize_glm_count.R                      209      27  87.08%   192-193, 307, 463-495
R/summarize_num_patients.R                    94       5  94.68%   116-118, 264-265
R/summarize_patients_exposure_in_cols.R       96       1  98.96%   55
R/survival_biomarkers_subgroups.R             78       6  92.31%   117-122
R/survival_coxph_pairwise.R                   79      11  86.08%   50-51, 63-71
R/survival_duration_subgroups.R              211       6  97.16%   124-129
R/survival_time.R                             79       0  100.00%
R/survival_timepoint.R                       113       7  93.81%   124-130
R/utils_checkmate.R                           68       0  100.00%
R/utils_default_stats_formats_labels.R       124       1  99.19%   72
R/utils_factor.R                             109       2  98.17%   84, 302
R/utils_ggplot.R                             110       0  100.00%
R/utils_grid.R                               126       5  96.03%   164, 279-286
R/utils_rtables.R                            100       9  91.00%   39, 46, 51, 58-62, 403-404
R/utils_split_funs.R                          52       2  96.15%   82, 94
R/utils.R                                    141       7  95.04%   118, 121, 124, 128, 137-138, 332
TOTAL                                      10479     553  94.72%

Diff against main

Filename      Stmts    Miss  Cover
----------  -------  ------  --------
TOTAL             0       0  +100.00%

Results for commit: cc0c161

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

[BFalquet]

Wrapping of title in my package now works as expected. thank you.