add_global.fmt_regression: Adds the global p-value for a categorical variables in...

In ddsjoberg/clintable: Presentation-Ready Data Summary Tables

Description

This function uses Anova from the car package with type = "III" to calculate global p-values.

Usage

## S3 method for class 'fmt_regression'
add_global(x, terms = NULL, keep = FALSE, ...)

Arguments

x	object with class fmt_regression from the fmt_regression function
terms	Character vector of terms for which to add global p-values. Default is NULL which will add global p-values for all categorical variables
keep	logical argument whether to keep the individual p-values for the levels of the categorical variable. Default is FALSE
...	arguments to be passed to Anova. Adding test.statistic = can change the type of test (e.g. Likelihood-ratio, Wald, etc.).

Examples

lm(marker ~ stage + grade, trial) %>% fmt_regression() %>% add_global()

ddsjoberg/clintable documentation built on June 9, 2019, 1:51 a.m.