MultivariateAnalysis

.MultivariateAnalysis

MultivariateAnalysis-class

A virtual S4 class to store the output of a multivariate data analysis.

internal

Simple Principal Components Analysis (PCA) and (Multiple)
Correspondence Analysis (CA) based on the Singular Value Decomposition
(SVD). This package provides S4 classes and methods to compute,
extract, summarize and visualize results of multivariate data
analysis. It also includes methods for partial bootstrap validation
described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et
al. (2006, ISBN: 978-2-10-049616-7).

Nicolas Frerebeau

dimensio

Multivariate Data Analysis

Jean-Baptiste Fourvel

Brice Lebrun

Université Bordeaux Montaigne 

CNRS 

MultivariateAnalysis function

<dl>
<dt><code>data</code></dt>
<dd>A <code><a href="/link/numeric?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::numeric">numeric</a></code> <code><a href="/link/matrix?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::matrix">matrix</a></code>.</dd></dl>
<dt><code>dimension</code></dt>
<dd>An <code><a href="/link/integer?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::integer">integer</a></code> giving the dimension of the solution.</dd>
<dt><code>singular_values</code></dt>
<dd>A <code><a href="/link/numeric?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::numeric">numeric</a></code> vector giving the singular values.</dd>
<dt><code>rows</code></dt>
<dd>A <code>MultivariateResults</code> object.</dd>
<dt><code>columns</code></dt>
<dd>A <code>MultivariateResults</code> object.</dd>
<dt><code>extra</code></dt>
<dd>A <code><a href="/link/list?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::list">list</a></code> of extra variables.</dd>

Slots

In the code snippets below, <code>x</code> is a <code>MultivariateAnalysis</code> object.<dl>
<dt><code>x[[i]]</code></dt>
<dd>Extracts information from a slot selected by subscript <code>i</code>.
<code>i</code> is a length-one <code><a href="/link/character?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::character">character</a></code> vector.</dd>
</dl>

Subset

Author

Output of Multivariate Data Analysis — MultivariateAnalysis

<dl>
<dt><code>data</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> <code><a href='https://rdrr.io/r/base/matrix.html'>matrix</a></code>.</dd>


<dt><code>dimension</code></dt>
<dd>An <code><a href='https://rdrr.io/r/base/integer.html'>integer</a></code> giving the dimension of the solution.</dd>


<dt><code>singular_values</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> vector giving the singular values.</dd>


<dt><code>rows</code></dt>
<dd>A <code>MultivariateResults</code> object.</dd>


<dt><code>columns</code></dt>
<dd>A <code>MultivariateResults</code> object.</dd>


<dt><code>extra</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/list.html'>list</a></code> of extra variables.</dd>


</dl>

In the code snippets below, <code>x</code> is a <code>MultivariateAnalysis</code> object.<dl>
<dt><code>x[[i]]</code></dt>
<dd>Extracts information from a slot selected by subscript <code>i</code>.
<code>i</code> is a length-one <code><a href='https://rdrr.io/r/base/character.html'>character</a></code> vector.</dd>


</dl>

MultivariateAnalysis: Output of Multivariate Data Analysis

Description

Arguments

Slots

Subset

Author

See Also