add_global_p

<code>tbl_regression</code> or <code>tbl_uvregression</code> object

Further arguments passed to or from other methods.

This function uses <a rd-options="car:Anova" href="/link/car%3A%3AAnova?package=gtsummary&version=1.2.0&to=car%3AAnova" data-mini-rdoc="car:Anova::car::Anova">car::Anova</a> with argument
<code>type = "III"</code> to calculate global p-values for categorical variables.
Output from <code>tbl_regression</code> and <code>tbl_uvregression</code> objects supported.

Creates presentation-ready tables summarizing data
sets, regression models, and more. The code to create the tables is
concise and highly customizable. Data frames can be summarized with
any function, e.g. mean(), median(), even user-written functions.
Regression models are summarized and include the reference rows for
categorical variables. Common regression models, such as logistic
regression and Cox proportional hazards regression, are automatically
identified and the tables are pre-filled with appropriate column
headers. The package is enhanced when the 'gt' package is installed.
Use this code to install: 'remotes::install_github("rstudio/gt")'.

Daniel D. Sjoberg

gtsummary

Presentation-Ready Data Summary and Analytic Result Tables

Margie Hannum

Karissa Whiting

Emily C. Zabor

Michael Curry

Esther Drill

Jessica Flynn

add_global_p function

This function uses <a rd-options='car:Anova' href='car::Anova'>car::Anova</a> with argument
<code>type = "III"</code> to calculate global p-values for categorical variables.
Output from <code>tbl_regression</code> and <code>tbl_uvregression</code> objects supported.

add_global_p: Adds the global p-value for a categorical variables

Description

Usage

Arguments

See Also