Closed Melkiades closed 2 months ago
github-actions[bot]
commented
2 months ago 1 files 83 suites 1m 16s :stopwatch: 851 tests 839 :white_check_mark: 12 :zzz: 0 :x: 1 828 runs 1 150 :white_check_mark: 678 :zzz: 0 :x:
Results for commit cc0c1619.
:recycle: This comment has been updated with latest results.
github-actions[bot]
commented
2 months ago Results for commit bf9e148943af9d626b96d998e3acba4a967f74fd
♻️ This comment has been updated with latest results.
Melkiades
commented
2 months ago On ocean I do not get the same mismatch (4.3.3). Could it be different grid version??
github-actions[bot]
commented
2 months ago 
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%Filename Stmts Miss Cover
---------- ------- ------ --------
TOTAL 0 0 +100.00%Results for commit: cc0c16198cbb7724fff4bdaa9fe977aee8acdc5f
Minimum allowed coverage is 80%
:recycle: This comment has been updated with latest results
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
\\nto\nif 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.