I would to split the values of N and % into two separate columns ie, N and % columns
library(gtsummary)
trial %>%
select(response, grade) %>%
tbl_summary()
The easiest way to do this is with tbl_merge()
, constructing two tables (one with N the other with %). Example below!
library(gtsummary)
#> #BlackLivesMatter
library(tidyverse)
tbl <-
# iterate over these two statistics
c("{n} / {N}", "{p}%") %>%
# build tbl_summary using each of the stats
map(
~trial %>%
select(response, grade) %>%
tbl_summary(
statistic = all_categorical() ~ .x,
missing = "no"
)
) %>%
# merge the two tables together
tbl_merge() %>%
# some formatting to make it cute
modify_spanning_header(everything() ~ NA) %>%
modify_footnote(everything() ~ NA) %>%
modify_header(list(stat_0_1 ~ "**n / N**", stat_0_2 ~ "**percent**"))
Created on 2021-08-06 by the reprex package (v2.0.0)