Closed edelarua closed 3 weeks ago
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4 weeks ago 1 files 83 suites 1m 10s :stopwatch: 849 tests 837 :white_check_mark: 12 :zzz: 0 :x: 1 826 runs 1 149 :white_check_mark: 677 :zzz: 0 :x:
Results for commit 8fff63f6.
:recycle: This comment has been updated with latest results.
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4 weeks ago Results for commit f5958e08ed0de74cbc6abb1840bf6979cffc18d7
♻️ This comment has been updated with latest results.
github-actions[bot]
commented
4 weeks ago 
Filename Stmts Miss Cover Missing
--------------------------------------- ------- ------ ------- ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
R/abnormal_by_baseline.R 65 0 100.00%
R/abnormal_by_marked.R 55 5 90.91% 78-82
R/abnormal_by_worst_grade_worsen.R 116 3 97.41% 242-244
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% 179, 202-207, 222, 236-237, 245-253, 259-265, 344-350
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% 130-134, 246, 305
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% 67
R/count_missed_doses.R 34 0 100.00%
R/count_occurrences_by_grade.R 113 5 95.58% 101, 151-153, 156
R/count_occurrences.R 115 1 99.13% 108
R/count_patients_events_in_cols.R 67 1 98.51% 53
R/count_patients_with_event.R 47 0 100.00%
R/count_patients_with_flags.R 58 4 93.10% 56-57, 62-63
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% 63
R/estimate_proportion.R 205 12 94.15% 78-85, 89, 94, 315, 481, 587
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 249 23 90.76% 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 509 41 91.94% 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 96 7 92.71% 44-51
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% 62-65, 97, 282-289, 432, 492, 597
R/prune_occurrences.R 57 10 82.46% 138-142, 188-192
R/response_biomarkers_subgroups.R 69 6 91.30% 192-197
R/response_subgroups.R 213 12 94.37% 95-100, 255-256, 331, 382-384
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% 174, 179
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 93 5 94.62% 108-110, 244-245
R/summarize_patients_exposure_in_cols.R 96 1 98.96% 42
R/survival_biomarkers_subgroups.R 78 6 92.31% 113-118
R/survival_coxph_pairwise.R 79 11 86.08% 45-46, 58-66
R/survival_duration_subgroups.R 211 6 97.16% 119-124
R/survival_time.R 79 0 100.00%
R/survival_timepoint.R 113 7 93.81% 120-126
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 10481 553 94.72%Filename Stmts Miss Cover
---------------------- ------- ------ -------
R/response_subgroups.R +7 0 +0.19%
TOTAL +7 0 +0.00%Results for commit: 8fff63f6ab8ca5febb8dd72e6a07530496356ed3
Minimum allowed coverage is 80%
:recycle: This comment has been updated with latest results
Pull Request
Fixes #1289
I tested out setting the default to
"chisq"but this would result in a lot ofChi-squared approximation may be incorrectwarnings forternand downstream packages so reverted that change. I think the warning should be informative enough, but let me know what you think!