A wrapper around <a href="/link/stats%3A%3Acmdscale?package=Momocs&version=1.4.1" data-mini-rdoc="Momocs::stats::cmdscale">stats::cmdscale</a>.

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

MDS function

<dl><dt>x</dt>
<dd>any Coe object</dd>
<dt>method</dt>
<dd>a dissiminarity index to feed <code>method</code> in <a href="/link/stats%3A%3Adist?package=Momocs&version=1.4.1" data-mini-rdoc="Momocs::stats::dist">stats::dist</a> (default: <code>euclidean</code>)</dd>
<dt>k</dt>
<dd><code>numeric</code> number of dimensions to feed <a href="/link/stats%3A%3Acmdscale?package=Momocs&version=1.4.1" data-mini-rdoc="Momocs::stats::cmdscale">stats::cmdscale</a> (default: 2)</dd>
<dt>...</dt>
<dd>additional parameters to feed <a href="/link/stats%3A%3Acmdscale?package=Momocs&version=1.4.1" data-mini-rdoc="Momocs::stats::cmdscale">stats::cmdscale</a></dd></dl>

Arguments

A wrapper around <a href='https://rdrr.io/r/stats/cmdscale.html'>stats::cmdscale</a>.

(Metric) multidimensional scaling — MDS

<dl>

<dt>x</dt>
<dd>any Coe object</dd>


<dt>method</dt>
<dd>a dissiminarity index to feed <code>method</code> in <a href='https://rdrr.io/r/stats/dist.html'>stats::dist</a> (default: <code>euclidean</code>)</dd>


<dt>k</dt>
<dd><code>numeric</code> number of dimensions to feed <a href='https://rdrr.io/r/stats/cmdscale.html'>stats::cmdscale</a> (default: 2)</dd>


<dt>...</dt>
<dd>additional parameters to feed <a href='https://rdrr.io/r/stats/cmdscale.html'>stats::cmdscale</a></dd>

</dl>

MDS: (Metric) multidimensional scaling

Description

Usage

Value

Arguments

Details

See Also

Examples