plot.physignal.eigen

utilities

visualization

Read, manipulate, and digitize landmark data, generate shape
variables via Procrustes analysis for points, curves and surfaces, perform
shape analyses, and provide graphical depictions of shapes and patterns of
shape variation.

Dean Adams

geomorph

Geometric Morphometric Analyses of 2D and 3D Landmark Data

Michael Collyer

Antigoni Kaliontzopoulou

Erica Baken

plot.physignal.eigen function

<dl><dt>x</dt>
<dd>plot object (from <code>physignal.eigen</code>)</dd>
<dt>type</dt>
<dd>the manner in which the distribution of permuted outcomes is represented:
confidence bands (type = "conf"), vectors (type = "vectors"), or both (type = "both")</dd>
<dt>confidence</dt>
<dd>A numerical value designating the confidence interval range</dd>
<dt>...</dt>
<dd>other arguments passed to plot</dd></dl>

Arguments

Author

Plot Function for geomorph — plot.physignal.eigen

<dl>

<dt>x</dt>
<dd>plot object (from <code>physignal.eigen</code>)</dd>


<dt>type</dt>
<dd>the manner in which the distribution of permuted outcomes is represented:
confidence bands (type = "conf"), vectors (type = "vectors"), or both (type = "both")</dd>


<dt>confidence</dt>
<dd>A numerical value designating the confidence interval range</dd>


<dt>...</dt>
<dd>other arguments passed to plot</dd>

</dl>

Plot Function for geomorph

plot.physignal.eigen: Plot Function for geomorph

Description

Usage

Arguments

Author