A variety of descriptive multivariate analyses with the singular value decomposition,
such as principal components analysis, correspondence analysis, and multidimensional scaling.
See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Exploratory Analysis with the Singular Value Decomposition

package-ubuntu-20.04-r-4.0.5#cran#ExPosition-2.8.23

<p>Performs a chi-square distance. Primarily used for <code><a href="epMDS.html">epMDS</a></code>.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>X</code></td>
<td>
<p>Compute chi-square distances between row items.</p>
</td>
</tr></table>

<table summary="R valueblock">
<tr valign="top">
<td><code>D</code></td>
<td>
<p>Distance matrix for <code><a href="epMDS.html">epMDS</a></code> analysis.</p>
</td>
</tr>
<tr valign="top">
<td><code>MW</code></td>
<td>
<p>a list of masses and weights. Weights not used in MDS.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#ExPosition-2.8.23#docs#chi2Dist

`D`	Distance matrix for `epMDS` analysis.
`MW`	a list of masses and weights. Weights not used in MDS.

chi2Dist

Description

Usage

Arguments

Value

Author(s)

ExPosition

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