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added legend to g_step plot #732

Merged
merged 11 commits into from
Nov 8, 2022
Merged

added legend to g_step plot #732

merged 11 commits into from
Nov 8, 2022

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sob2021
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@sob2021 sob2021 commented Nov 1, 2022

closes #22

@danielinteractive danielinteractive self-assigned this Nov 2, 2022
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@danielinteractive danielinteractive left a comment

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Thanks @sob2021 so I get from this the below plot.
Apologies that the description of the task was not specific enough - I guess I meant to say there that we would like to have the confidence level of the CI ribbon (the filled area) visible in the legend somehow e.g. as "95% CI", as well as maybe "Estimate" for the center line

image

@danielinteractive
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ok idea is:

  • use empty string or blank string as the legend title, since we will have two legends so that it does not look strange
  • add fill as well same as color before
  • use scale_color_identity() and scale_fill_identity() to define the correct labels

@Melkiades Melkiades marked this pull request as ready for review November 8, 2022 11:28
@Melkiades
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This is the current state of things:
Screenshot 2022-11-08 122922
I did not use the identity functions but another way. If it is needed to add a different CI and Estimate label (to put as input), I can correct this

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github-actions bot commented Nov 8, 2022

Unit Tests Summary

       1 files     125 suites   3m 17s ⏱️
   852 tests    852 ✔️ 0 💤 0
1 270 runs  1 270 ✔️ 0 💤 0

Results for commit db942ef.

♻️ This comment has been updated with latest results.

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@Melkiades awesome thanks for jumping in and helping here!
Can you check the messages in the unit tests, somehow they are leading to failing checks here?

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thanks @sob2021 and @Melkiades , can you also add a short NEWS entry for this? afterwards good to merge from my side

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@Melkiades awesome thanks for jumping in and helping here! Can you check the messages in the unit tests, somehow they are leading to failing checks here?

Thank you for the fast review! I do not understand very well why these errors. They do not happen locally. I will investigate further, maybe there is an invisible message :D

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github-actions bot commented Nov 8, 2022

badge

Code Coverage Summary

Filename                                   Stmts    Miss  Cover    Missing
---------------------------------------  -------  ------  -------  ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
R/abnormal_by_baseline.R                      63       0  100.00%
R/abnormal_by_marked.R                        52       5  90.38%   124-128
R/abnormal_by_worst_grade_worsen.R           113       3  97.35%   205-207
R/abnormal_by_worst_grade.R                   37       0  100.00%
R/abnormal.R                                  40       0  100.00%
R/combination_function.R                       9       0  100.00%
R/compare_variables.R                        138       3  97.83%   135, 247, 266
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                          47       1  97.87%   52
R/count_missed_doses.R                        31       0  100.00%
R/count_occurrences_by_grade.R                84       3  96.43%   148, 163-164
R/count_occurrences.R                         61       1  98.36%   89
R/count_patients_events_in_cols.R             67       0  100.00%
R/count_patients_with_event.R                 72       0  100.00%
R/count_values.R                              24       0  100.00%
R/cox_regression_inter.R                     142       0  100.00%
R/cox_regression.R                           318       0  100.00%
R/coxph.R                                    168       7  95.83%   232-236, 281, 297, 306, 312-313
R/d_pkparam.R                                405       0  100.00%
R/decorate_grob.R                            167       6  96.41%   270-276, 383, 415, 425, 432
R/desctools_binom_diff.R                     668      68  89.82%   65, 100-101, 141-142, 145, 224, 250-261, 300, 302, 322, 326, 330, 334, 386, 389, 392, 395, 456, 464, 476-477, 483-486, 494, 497, 506, 509, 557-558, 560-561, 563-564, 566-567, 640, 652-665, 670, 717, 730, 734
R/df_explicit_na.R                            30       0  100.00%
R/estimate_multinomial_rsp.R                  47       1  97.87%   53
R/estimate_proportion.R                      198      10  94.95%   421-428, 432, 437, 545
R/fit_rsp_step.R                              36       0  100.00%
R/fit_survival_step.R                         36       0  100.00%
R/footnotes.R                                  5       0  100.00%
R/formats.R                                   88       1  98.86%   66
R/g_forest.R                                 441      42  90.48%   172, 200, 229, 252-253, 257-258, 326, 339, 343-344, 349-350, 363, 379, 426, 457, 533, 542, 614-634, 637, 648, 705, 708, 834
R/g_lineplot.R                               192      29  84.90%   177, 190, 218, 244-247, 320-327, 345-346, 352-362, 458, 466
R/g_step.R                                    68       1  98.53%   106
R/g_waterfall.R                               47       0  100.00%
R/h_adsl_adlb_merge_using_worst_flag.R        74       0  100.00%
R/h_biomarkers_subgroups.R                    38       0  100.00%
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           74       0  100.00%
R/h_response_subgroups.R                     171      12  92.98%   248-261
R/h_stack_by_baskets.R                        65       2  96.92%   96, 143
R/h_step.R                                   180       0  100.00%
R/h_survival_biomarkers_subgroups.R           78       0  100.00%
R/h_survival_duration_subgroups.R            200      12  94.00%   254-266
R/incidence_rate.R                            93       7  92.47%   69-76
R/individual_patient_plot.R                  133       0  100.00%
R/kaplan_meier_plot.R                        532      29  94.55%   256-260, 456, 627-629, 637-639, 665, 672-673, 845, 1030, 1272-1283
R/logistic_regression.R                      569       3  99.47%   279-280, 347
R/missing_data.R                              20       3  85.00%   29, 61, 71
R/odds_ratio.R                               106       0  100.00%
R/prop_diff_test.R                            87       0  100.00%
R/prop_diff.R                                255      11  95.69%   56-63, 190, 364, 508
R/prune_occurrences.R                         57       0  100.00%
R/response_biomarkers_subgroups.R             59       0  100.00%
R/response_subgroups.R                       164       0  100.00%
R/rtables_access.R                            21       0  100.00%
R/score_occurrences.R                         20       1  95.00%   112
R/split_cols_by_groups.R                      49       0  100.00%
R/stat.R                                      47       0  100.00%
R/summarize_ancova.R                          94       1  98.94%   197
R/summarize_change.R                          27       0  100.00%
R/summarize_colvars.R                          6       0  100.00%
R/summarize_num_patients.R                    47       3  93.62%   93-95
R/summarize_patients_exposure_in_cols.R       46       0  100.00%
R/summarize_variables_in_cols.R               64       6  90.62%   35, 64, 91, 93, 120, 122
R/summarize_variables.R                      212       1  99.53%   477
R/survival_biomarkers_subgroups.R             59       0  100.00%
R/survival_coxph_pairwise.R                   73       9  87.67%   69-77
R/survival_duration_subgroups.R              171       0  100.00%
R/survival_time.R                             47       0  100.00%
R/survival_timepoint.R                       114       7  93.86%   147-153
R/utils_checkmate.R                           68       0  100.00%
R/utils_factor.R                              95       1  98.95%   93
R/utils_grid.R                               111       5  95.50%   150, 260-266
R/utils_rtables.R                             74       2  97.30%   317-318
R/utils.R                                    137      10  92.70%   100, 102, 106, 126, 129, 132, 136, 145-146, 334
R/wrap_text.R                                 65       5  92.31%   37, 58, 78, 85, 107
TOTAL                                       8620     312  96.38%

Diff against main

Filename      Stmts  Miss    Cover
----------  -------  ------  -------
R/g_step.R       +9  -       +0.22%
TOTAL            +9  -       +0.00%

Results for commit: 0402460

Minimum allowed coverage is 80%

♻️ This comment has been updated with latest results

@Melkiades Melkiades enabled auto-merge (squash) November 8, 2022 16:54
@Melkiades Melkiades merged commit f295ef0 into main Nov 8, 2022
@Melkiades Melkiades deleted the 22_add_legend_g_step@main branch November 8, 2022 17:09
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Investigate how to add legend to g_step() plot
3 participants