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Populate "overall" categories for `ard_stack(..., .overall = TRUE, .shuffle = TRUE)`
We have some code in shuffle_ard()
to populate levels with "Overall < varname >" if a grouping variable is present but its level is NA (like with for overall stat tests). It would be nice for this to happen for overall calculations from ard_stack()
as well, to effectively create a separate "overall" category for displays. This requires adding just a bit of code in ard_stack()
prior to the shuffle.
example:
ard_stack(
data = adsl_,
by = TRT01A,
ard_continuous(variables = AGE),
ard_categorical(variables = AGEGR1),
.shuffle = TRUE,
.overall = TRUE
)
Current rows corresponding to the overall calculations:
# A tibble: 17 × 6
TRT01A variable label context stat_name stat
<chr> <chr> <chr> <chr> <chr> <dbl>
1 NA AGE N continuous N 254
2 NA AGE Mean continuous mean 75.1
3 NA AGE SD continuous sd 8.25
4 NA AGE Median continuous median 77
5 NA AGE 25th Percentile continuous p25 70
6 NA AGE 75th Percentile continuous p75 81
7 NA AGE Min continuous min 51
8 NA AGE Max continuous max 89
9 NA AGEGR1 <65 categorical n 33
10 NA AGEGR1 <65 categorical N 254
Desired result:
# A tibble: 26 × 6
TRT01A variable label context stat_name stat
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Overall TRT01A AGE N continuous N 254
2 Overall TRT01A AGE Mean continuous mean 75.1
3 Overall TRT01A AGE SD continuous sd 8.25
4 Overall TRT01A AGE Median continuous median 77
5 Overall TRT01A AGE 25th Percentile continuous p25 70
6 Overall TRT01A AGE 75th Percentile continuous p75 81
7 Overall TRT01A AGE Min continuous min 51
8 Overall TRT01A AGE Max continuous max 89
9 Overall TRT01A AGEGR1 <65 categorical n 33
10 Overall TRT01A AGEGR1 <65 categorical N 254
@ddsjoberg I will put in a PR to get your thoughts!