preprocess_t_dd

The normal process of creating clinical study slides is that
a statistician manually type in the numbers from outputs and a
separate statistician to double check the typed in numbers. This
process is time consuming, resource intensive, and error prone.
Automatic slide generation is a solution to address these issues. It
reduces the amount of work and the required time when creating slides,
and reduces the risk of errors from manually typing or copying numbers
from the output to slides. It also helps users to avoid unnecessary
stress when creating large amounts of slide decks in a short time
window.

Joe Zhu

autoslider.core

Slide Automation for Tables, Listings and Figures

preprocess_t_dd function

<dl><dt>df</dt>
<dd>Input dataframe</dd>
<dt>levels</dt>
<dd>factor levels</dd>
<dt>labels</dt>
<dd>factor labels</dd></dl>

Arguments

Preprocess t_dd function — preprocess_t_dd

<dl>

<dt>df</dt>
<dd>Input dataframe</dd>


<dt>levels</dt>
<dd>factor levels</dd>


<dt>labels</dt>
<dd>factor labels</dd>

</dl>

preprocess_t_dd: Preprocess t_dd function

Description

Usage

Value

Arguments