This is a simple wrapper of rtables::summarize_row_groups() and the main
additional value is that we can choose whether we want to use the alternative
(usually ADSL) data set for the counts (default) or use the original data set.
Arguments
- lyt
(
layout)
input layout where analyses will be added to.- label_fstr
(
string)
asprintfstyle format string. It can contain up to one%swhich takes the current split value and generates the row label.- alt_counts
(
flag)
whether row counts should be taken fromalt_counts_df(TRUE) or fromdf(FALSE).
Value
A modified layout where the latest row split now has a row group summaries (as created by rtables::summarize_row_groups for the counts. for the counts.
Examples
basic_table() |>
split_cols_by("ARM") |>
add_colcounts() |>
split_rows_by("RACE", split_fun = drop_split_levels) |>
summarize_row_counts(label_fstr = "RACE value - %s") |>
analyze("AGE", afun = list_wrap_x(summary), format = "xx.xx") |>
build_table(DM, alt_counts_df = rbind(DM, DM))
#> A: Drug X B: Placebo C: Combination
#> (N=242) (N=212) (N=258)
#> ————————————————————————————————————————————————————————————————————————————————
#> RACE value - ASIAN 158 136 168
#> Min. 20.00 21.00 22.00
#> 1st Qu. 29.00 28.00 30.00
#> Median 33.00 32.50 33.50
#> Mean 34.20 32.68 34.63
#> 3rd Qu. 38.50 36.00 38.00
#> Max. 58.00 55.00 53.00
#> RACE value - BLACK OR AFRICAN AMERICAN 56 48 54
#> Min. 23.00 21.00 24.00
#> 1st Qu. 29.00 28.75 29.00
#> Median 33.00 30.00 32.00
#> Mean 34.68 31.71 34.00
#> 3rd Qu. 37.25 36.25 39.00
#> Max. 60.00 42.00 51.00
#> RACE value - WHITE 28 28 36
#> Min. 30.00 25.00 28.00
#> 1st Qu. 38.00 31.00 30.25
#> Median 40.50 37.50 35.00
#> Mean 39.36 36.93 35.11
#> 3rd Qu. 43.50 40.00 37.50
#> Max. 47.00 55.00 47.00