plot_table

An utility that plots a confusion matrix of sample size (or a barplot)
for every object with a $fac. Useful to visually how large are sample sizes,
how (un)balanced are designs, etc.

The goal of 'Momocs' is to provide a complete, convenient,
reproducible and open-source toolkit for 2D morphometrics.
It includes most common 2D morphometrics approaches on outlines, open outlines,
configurations of landmarks, traditional morphometrics, and facilities for data preparation,
manipulation and visualization with a consistent grammar throughout.
It allows reproducible, complex morphometrics analyses and other morphometrics approaches
should be easy to plug in, or develop from, on top of this canvas.

Vincent Bonhomme

Momocs

Morphometrics using R

Julien Claude

plot_table function

<dl><dt>x</dt>
<dd>any object with a $fac slot (Coo, Coe, PCA, etc.)</dd>
<dt>fac1</dt>
<dd>the name or id of the first factor</dd>
<dt>fac2</dt>
<dd>the name of id of the second factor</dd>
<dt>rm0</dt>
<dd>logical whether to print zeros</dd></dl>

Arguments

Plots confusion matrix of sample sizes within $fac — plot_table

<dl>

<dt>x</dt>
<dd>any object with a $fac slot (Coo, Coe, PCA, etc.)</dd>


<dt>fac1</dt>
<dd>the name or id of the first factor</dd>


<dt>fac2</dt>
<dd>the name of id of the second factor</dd>


<dt>rm0</dt>
<dd>logical whether to print zeros</dd>

</dl>

plot_table: Plots confusion matrix of sample sizes within $fac

Description

Usage

Value

Arguments

See Also

Examples