add_p.tbl_continuous: Add p-values

In gtsummary: Presentation-Ready Data Summary and Analytic Result Tables

Add p-values

Description

Add p-values

Usage

## S3 method for class 'tbl_continuous'
add_p(
  x,
  test = NULL,
  pvalue_fun = label_style_pvalue(digits = 1),
  include = everything(),
  test.args = NULL,
  group = NULL,
  ...
)

Arguments

x	(tbl_continuous) table created with tbl_continuous()
test	List of formulas specifying statistical tests to perform for each variable. Default is two-way ANOVA when ⁠by=⁠ is not NULL, and has the same defaults as add_p.tbl_continuous() when by = NULL. See tests for details, more tests, and instruction for implementing a custom test.
pvalue_fun	(function) Function to round and format p-values. Default is label_style_pvalue(). The function must have a numeric vector input, and return a string that is the rounded/formatted p-value (e.g. pvalue_fun = label_style_pvalue(digits = 2)).
include	(tidy-select) Variables to include in output. Default is everything().
test.args	(formula-list-selector) Containing additional arguments to pass to tests that accept arguments. For example, add an argument for all t-tests, use test.args = all_tests("t.test") ~ list(var.equal = TRUE).
group	(tidy-select) Variable name of an ID or grouping variable. The column can be used to calculate p-values with correlated data. Default is NULL. See tests for methods that utilize the group argument.
...	These dots are for future extensions and must be empty.

Value

'tbl_continuous' object

Examples

trial |>
  tbl_continuous(variable = age, by = trt, include = grade) |>
  add_p()

gtsummary documentation built on Oct. 5, 2024, 1:06 a.m.