stickplot_mda

heatmap_mda

Stick plots show each group's mean loading along a factor, plotted along a
positive/negative cline. Heatmaps show each variable's loading on a factor.
<code>stickplot_mda()</code> produces just a stick plot, while <code>heatmap_mda()</code> places a
heatmap alongside the stick plot.

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

stickplot_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>Index of the factor to be plotted.</dd></dl>

Arguments

Plots of MDA factor group means and loadings — stickplot_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>Index of the factor to be plotted.</dd>

</dl>

stickplot_mda: Plots of MDA factor group means and loadings

Description

Usage

Value

Arguments

See Also