add_p.tbl_cross: Adds p-value to crosstab table

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

Adds p-value to crosstab table

Description

Calculate and add a p-value comparing the two variables in the cross table. Missing values are included in p-value calculations.

Usage

## S3 method for class 'tbl_cross'
add_p(
  x,
  test = NULL,
  pvalue_fun = NULL,
  source_note = NULL,
  test.args = NULL,
  ...
)

Arguments

x	Object with class tbl_cross from the tbl_cross function
test	A string specifying statistical test to perform. Default is "chisq.test" when expected cell counts >=5 and "fisher.test" when expected cell counts <5.
pvalue_fun	Function to round and format p-value. Default is style_pvalue, except when source_note = TRUE when the default is style_pvalue(x, prepend_p = TRUE)
source_note	Logical value indicating whether to show p-value in the {gt} table source notes rather than a column.
test.args	Named list containing additional arguments to pass to the test (if it accepts additional arguments). For example, add an argument for a chi-squared test with test.args = list(correct = TRUE)
...	Not used

Example Output

Example 1

Example 2

Author(s)

Karissa Whiting

See Also

Other tbl_cross tools: inline_text.tbl_cross(), tbl_cross()

Examples

# Example 1 ----------------------------------
add_p_cross_ex1 <-
  trial %>%
  tbl_cross(row = stage, col = trt) %>%
  add_p()

# Example 2 ----------------------------------
add_p_cross_ex2 <-
  trial %>%
  tbl_cross(row = stage, col = trt) %>%
  add_p(source_note = TRUE)

ddsjoberg/gtsummary documentation built on Nov. 3, 2023, 11:42 a.m.