post_process_makeme_data

Legacy function that combines both factor level processing and binary category
color processing. Use the individual functions for new code.

internal

Offers a systematic way for conditional reporting of figures and tables for many
(and bivariate combinations of) variables, typically from survey data.
Contains interactive 'ggiraph'-based
(<https://CRAN.R-project.org/package=ggiraph>) plotting functions and
data frame-based summary tables (bivariate significance tests,
frequencies/proportions, unique open ended responses, etc) with
many arguments for customization, and extensions possible. Uses a global
options() system for neatly reducing redundant code.
Also contains tools for immediate saving of objects and returning a hashed link to the object,
useful for creating download links to high resolution images upon rendering in 'Quarto'.
Suitable for highly customized reports, primarily intended for survey
research.

Stephan Daus

saros

Semi-Automatic Reporting of Ordinary Surveys

Julia Silge

David Robinson

Nordic Institute for The Studies of Innovation, Research and Education (NIFU) 

Kristiania University College 

post_process_makeme_data function

<dl><dt>data</dt>
<dd>Data frame containing the data</dd>
<dt>indep</dt>
<dd>Character string naming the independent variable (or NULL)</dd>
<dt>showNA</dt>
<dd>Character indicating how to handle NA values</dd>
<dt>colour_2nd_binary_cat</dt>
<dd>Color specification for second binary category</dd></dl>

Arguments

Post-process Makeme Data (Legacy) — post_process_makeme_data

<dl>

<dt>data</dt>
<dd>Data frame containing the data</dd>


<dt>indep</dt>
<dd>Character string naming the independent variable (or NULL)</dd>


<dt>showNA</dt>
<dd>Character indicating how to handle NA values</dd>


<dt>colour_2nd_binary_cat</dt>
<dd>Color specification for second binary category</dd>

</dl>

post_process_makeme_data: Post-process Makeme Data (Legacy)

Description

Usage

Value

Arguments