summarize_categorical

data

Character variable name in <code>data</code> that will be tabulated

variable

Character variable name in <code>data</code> that Summary statistics for
<code>variable</code> are stratified

var_label

String that specifies the format of the displayed statistics.
The syntax follows <code><a rd-options="glue" href="/link/glue?package=gtsummary&version=0.1.0&to=glue" data-mini-rdoc="glue::glue">glue</a></code> inputs with n, N, and p as input options.

stat_display

If the output is dichotomous, then this is the value
of the variable that will be displayed.

dichotomous_value

whether to include <code>NA</code> values in the table. <code>missing</code> controls
if the table includes counts of <code>NA</code> values: the allowed values correspond to
never (<code>"no"</code>), only if the count is positive (<code>"ifany"</code>) and even for
zero counts (<code>"always"</code>). Default is <code>"ifany"</code>.

missing

Calculates and formats N's and percentages for categorical and dichotomous data

internal

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 many types
of statistics presented in any pattern.
Regression models are summarized including the reference row for
categorical independent variables. Function defaults follow
reporting guidelines outlined in Assel, Sjoberg, et al. (2019)
<doi:10.1016/j.eururo.2018.12.014>.

Daniel D. Sjoberg

gtsummary

Presentation-Ready Data Summary Tables

Emily C. Zabor

summarize_categorical function

String that specifies the format of the displayed statistics.
The syntax follows <code><a rd-options='glue' href='glue'>glue</a></code> inputs with n, N, and p as input options.

summarize_categorical: Calculates and formats N's and percentages for categorical and dichotomous data

Description

Usage

Arguments

Value