plot_matrix

Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2023) <doi:10.1111/2041-210X.14021>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.

Christof Neumann

EloSteepness

Bayesian Dominance Hierarchy Steepness via Elo Rating and
David's Scores

plot_matrix function

<dl><dt>mat</dt>
<dd>square matrix</dd>
<dt>greyout</dt>
<dd>numeric, the values to be grayed out</dd>
<dt>prunkcol</dt>
<dd>color value, which if set to some color will highlight
unknown relationships with rectangles of that color.</dd>
<dt>label_col</dt>
<dd>color values for column and row labels</dd></dl>

Arguments

plot (rather than print) a matrix — plot_matrix

<dl>

<dt>mat</dt>
<dd>square matrix</dd>


<dt>greyout</dt>
<dd>numeric, the values to be grayed out</dd>


<dt>prunkcol</dt>
<dd>color value, which if set to some color will highlight
unknown relationships with rectangles of that color.</dd>


<dt>label_col</dt>
<dd>color values for column and row labels</dd>

</dl>

plot_matrix: plot (rather than print) a matrix

Description

Usage

Value

Arguments