select_helpers

all_numeric

all_character

all_integer

all_double

all_logical

all_factor

all_continuous

all_categorical

all_dichotomous

<p>Logical indicating whether to include dichotomous variables.
Default is <code>TRUE</code></p>

dichotomous

<p>Set of functions to supplement the tidyselect set of functions for selecting
columns of data frames. <code>all_continuous()</code>, <code>all_categorical()</code>, and
<code>all_dichotomous()</code> may only be used with <code>tbl_summary()</code>, where each variable
has been classified into one of these three groups. All other helpers
are available throughout the package.</p>

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

select_helpers function

Select helper functions — select_helpers

Select helper functions

select_helpers: Select helper functions

Description

Usage

Arguments

Value