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

<table summary="R argblock">
<tr valign="top">
<td><code>D</code></td>
<td>
<p>A distance matrix</p>
</td>
</tr>
<tr valign="top">
<td><code>masses</code></td>
<td>
<p>A vector or matrix of masses (see <code>computeMW</code>).</p>
</td>
</tr>
</table>

<table summary="R valueblock"><tr valign="top">
<td><code>S</code></td>
<td>
<p>a preprocessed matrix that can be decomposed.</p>
</td>
</tr></table>

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

`D`	A distance matrix
`masses`	A vector or matrix of masses (see `computeMW`).

mdsTransform

Description

Usage

Arguments

Value

Author(s)

ExPosition

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