process_main_question_and_suffixes

Handle label separation and suffix extraction for table functions

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_main_question_and_suffixes function

<dl><dt>data</dt>
<dd>Data frame to process</dd>
<dt>dots</dt>
<dd>List from rlang::list2(...)</dd>
<dt>col_basis</dt>
<dd>Current column basis (.variable_label or .variable_name)</dd></dl>

Arguments

Process main question and extract suffixes — process_main_question_and_suffixes

<dl>

<dt>data</dt>
<dd>Data frame to process</dd>


<dt>dots</dt>
<dd>List from rlang::list2(...)</dd>


<dt>col_basis</dt>
<dd>Current column basis (.variable_label or .variable_name)</dd>

</dl>

process_main_question_and_suffixes: Process main question and extract suffixes

Description

Usage

Value

Arguments