calculate_summary_stat

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

A list that includes specified summary types.

summary_type

If the output is dichotomous, then this is the value

dichotomous_value

var_label

String that specifies the format of the displayed statistics.
The syntax follows <code>glue::glue()</code> inputs with n, N, and p as input options.
of the variable that will be displayed.

stat_display

integer indicating the number of decimal places to be used.

digits

variable class. If class is NA, then all values are NA, and no
summary statistics will be calculated.

class

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

missing

This function takes in the meta data table, and calls the appropriate summarize function.

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>.

calculate_summary_stat: This function takes in the meta data table, and calls the appropriate summarize function.

Description

Usage

Arguments