boxplot_mda

Combine scaled vectors of the relevant factor loadings and boxplots of
dimension scores.

Multi-Dimensional Analysis (MDA) is an adaptation of factor
analysis developed by Douglas Biber (1992) <doi:10.1007/BF00136979>. Its most
common use is to describe language as it varies by genre, register, and use.
This package contains functions for carrying out the calculations needed to
describe and plot MDA results: dimension scores, dimension means, and factor
loadings.

David Brown

mda.biber

Functions for Multi-Dimensional Analysis

Alex Reinhart

boxplot_mda function

<dl><dt>mda_data</dt>
<dd>An mda data.frame produced by the <code>mda_loadings()</code> function.</dd>
<dt>n_factor</dt>
<dd>The factor to be plotted.</dd></dl>

Arguments

Create boxplot for multi-dimensional analysis — boxplot_mda

<dl>

<dt>mda_data</dt>
<dd>An mda data.frame produced by the <code>mda_loadings()</code> function.</dd>


<dt>n_factor</dt>
<dd>The factor to be plotted.</dd>

</dl>

boxplot_mda: Create boxplot for multi-dimensional analysis

Description

Usage

Value

Arguments

See Also