detect_variable_types

Internal helper function that examines the class of variables in the subset
data to determine their types (factor, numeric, character, etc.).

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 

detect_variable_types function

<dl><dt>subset_data</dt>
<dd>Data frame subset containing the relevant variables</dd>
<dt>dep_crwd</dt>
<dd>Character vector of dependent variable names for current crowd</dd>
<dt>indep_crwd</dt>
<dd>Character vector of independent variable names for current crowd</dd></dl>

Arguments

Detect Variable Types for Dependent and Independent Variables — detect_variable_types

<dl>

<dt>subset_data</dt>
<dd>Data frame subset containing the relevant variables</dd>


<dt>dep_crwd</dt>
<dd>Character vector of dependent variable names for current crowd</dd>


<dt>indep_crwd</dt>
<dd>Character vector of independent variable names for current crowd</dd>

</dl>

detect_variable_types: Detect Variable Types for Dependent and Independent Variables

Description

Usage

Value

Arguments