process_indep_factor_levels

Reverses factor levels for independent variables, but only for unordered factors.
Preserves the natural ordering of ordered factors.

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 

process_indep_factor_levels 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></dl>

Arguments

Process Independent Variable Factor Levels — process_indep_factor_levels

<dl>

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


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

</dl>

process_indep_factor_levels: Process Independent Variable Factor Levels

Description

Usage

Value

Arguments