modify {gtsummary}R Documentation

Modify column headers, footnotes, and spanning headers

Description

These functions assist with modifying the aesthetics/style of a table.

The functions often require users to know the underlying column names. Run show_header_names() to print the column names to the console.

Usage

modify_header(x, ..., text_interpret = c("md", "html"), quiet, update)

modify_footnote(
  x,
  ...,
  abbreviation = FALSE,
  text_interpret = c("md", "html"),
  update,
  quiet
)

modify_spanning_header(x, ..., text_interpret = c("md", "html"), quiet, update)

show_header_names(x = NULL, include_example = TRUE, quiet = NULL)

Arguments

x

(gtsummary)
A gtsummary object

...

dynamic-dots
Used to assign updates to headers, spanning headers, and footnotes.

Use modify_*(colname='new header/footnote') to update a single column. Using a formula will invoke tidyselect, e.g. modify_*(all_stat_cols() ~ "**{level}**"). The dynamic dots allow syntax like modify_header(x, !!!list(label = "Variable")). See examples below.

Use the show_header_names() to see the column names that can be modified.

text_interpret

(string)
String indicates whether text will be interpreted with gt::md() or gt::html(). Must be "md" (default) or "html".

update, quiet

[Deprecated]

abbreviation

(scalar logical)
Logical indicating if an abbreviation is being updated.

include_example

(scalar logical)

Value

Updated gtsummary object

tbl_summary(), tbl_svysummary(), and tbl_cross()

When assigning column headers, footnotes, and spanning headers, you may use {N} to insert the number of observations. tbl_svysummary objects additionally have {N_unweighted} available.

When there is a stratifying ⁠by=⁠ argument present, the following fields are additionally available to stratifying columns: {level}, {n}, and {p} ({n_unweighted} and {p_unweighted} for tbl_svysummary objects)

Syntax follows glue::glue(), e.g. all_stat_cols() ~ "**{level}**, N = {n}".

tbl_regression()

When assigning column headers for tbl_regression tables, you may use {N} to insert the number of observations, and {N_event} for the number of events (when applicable).

Author(s)

Daniel D. Sjoberg

Examples

# create summary table
tbl <- trial |>
  tbl_summary(by = trt, missing = "no", include = c("age", "grade", "trt")) |>
  add_p()

# print the column names that can be modified
show_header_names(tbl)

# Example 1 ----------------------------------
# updating column headers and footnote
tbl |>
  modify_header(label = "**Variable**", p.value = "**P**") |>
  modify_footnote(all_stat_cols() ~ "median (IQR) for Age; n (%) for Grade")

# Example 2 ----------------------------------
# updating headers, remove all footnotes, add spanning header
tbl |>
  modify_header(all_stat_cols() ~ "**{level}**, N = {n} ({style_percent(p)}%)") |>
  modify_footnote(everything() ~ NA) |>
  modify_spanning_header(all_stat_cols() ~ "**Treatment Received**")

# Example 3 ----------------------------------
# updating an abbreviation in table footnote
glm(response ~ age + grade, trial, family = binomial) |>
  tbl_regression(exponentiate = TRUE) |>
  modify_footnote(conf.low = "CI = Credible Interval", abbreviation = TRUE)

[Package gtsummary version 2.0.0 Index]