Does anyone know if it is possible exclude some p-values from the a summary table (tbl_summary()
with add_p()
)?
Also, can we change the footnote about the tests used?
library(gtsummary)
mtcars %>%
tbl_summary(by = am) %>%
add_p()
These are great customization questions and the answers are YES!!
First of all, you can use the include =
argument to the add_p()
function, with a character vector of variables you want to include (or exclude using -
), or any tidyselect helper (i.e. starts_with()
), to select which p-values to include in the table.
Next, I've provided an example using the arguments from {gt} package on how to modify the default footnote listing tests. Another example can be seen in the {gtsummary} gallery of tables.
Good luck, hope this helps!
library(gtsummary)
library(dplyr, warn.conflicts = F)
library(gt)
trial %>%
select(trt, stage, age, grade) %>%
tbl_summary(by = trt) %>%
add_p(
include = c(-age) #Can use any tidyselect helpers/select syntax to specify which p-vals
) %>%
as_gt(include = -tab_footnote) %>% # if using gt, can exclude footnotes this way
tab_footnote( # and can modify/add footnotes this way
footnote = "Tests used are...",
locations = cells_column_labels(columns = vars(p.value))
)
An other way is to directly tweek the list:
plouf <- mtcars %>%
tbl_summary(by = am) %>%
add_p()
plouf$table_body[1,"p.value"] <- NA
plouf$table_header[6,"footnote"] <- "my personal statistic test"
plouf