add_n_regression: Add N to regression table

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

Add N to regression table

Description

Add N to regression table

Usage

## S3 method for class 'tbl_regression'
add_n(x, location = "label", ...)

## S3 method for class 'tbl_uvregression'
add_n(x, location = "label", ...)

Arguments

x	(tbl_regression, tbl_uvregression) a tbl_regression or tbl_uvregression table
location	(character) location to place Ns. Select one or more of c('label', 'level'). Default is 'label'. When "label" total Ns are placed on each variable's label row. When "level" level counts are placed on the variable level for categorical variables, and total N on the variable's label row for continuous.
...	These dots are for future extensions and must be empty.

Examples

# Example 1 ----------------------------------
trial |>
  select(response, age, grade) |>
  tbl_uvregression(
    y = response,
    exponentiate = TRUE,
    method = glm,
    method.args = list(family = binomial),
    hide_n = TRUE
  ) |>
  add_n(location = "label")

# Example 2 ----------------------------------
glm(response ~ age + grade, trial, family = binomial) |>
  tbl_regression(exponentiate = TRUE) |>
  add_n(location = "level")

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