MultivariateResults

.MultivariateResults

MultivariateResults-class

An S4 class to store the results 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 

MultivariateResults function

<dl>
<dt><code>names</code></dt>
<dd>A <code><a href="/link/character?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::character">character</a></code> vector specifying the row names.</dd></dl>
<dt><code>principal</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> giving the principal coordinates.</dd>
<dt><code>standard</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> giving the standard coordinates.</dd>
<dt><code>contributions</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> giving the contributions to the
definition of the dimensions.</dd>
<dt><code>cosine</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> giving the \(cos^2\) values.</dd>
<dt><code>distances</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 distances to centroid.</dd>
<dt><code>weights</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 masses/weights.</dd>
<dt><code>supplement</code></dt>
<dd>A <code><a href="/link/logical?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::logical">logical</a></code> vector specifying the supplementary points.</dd>
<dt><code>order</code></dt>
<dd>An <code><a href="/link/integer?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::integer">integer</a></code> vector giving the original indices of the data
(computation moves all supplementary points at the end of the results).</dd>
<dt><code>groups</code></dt>
<dd>A <code><a href="/link/character?package=dimensio&version=0.10.1" data-mini-rdoc="dimensio::character">character</a></code> vector specifying the class for each
observation.</dd>

Slots

Author

Multivariate Data Analysis Results — MultivariateResults

<dl>
<dt><code>names</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/character.html'>character</a></code> vector specifying the row names.</dd>


<dt><code>principal</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> giving the principal coordinates.</dd>


<dt><code>standard</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> giving the standard coordinates.</dd>


<dt><code>contributions</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> giving the contributions to the
definition of the dimensions.</dd>


<dt><code>cosine</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> giving the \(cos^2\) values.</dd>


<dt><code>distances</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/numeric.html'>numeric</a></code> vector giving the distances to centroid.</dd>


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


<dt><code>supplement</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/logical.html'>logical</a></code> vector specifying the supplementary points.</dd>


<dt><code>order</code></dt>
<dd>An <code><a href='https://rdrr.io/r/base/integer.html'>integer</a></code> vector giving the original indices of the data
(computation moves all supplementary points at the end of the results).</dd>


<dt><code>groups</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/character.html'>character</a></code> vector specifying the class for each
observation.</dd>


</dl>

Multivariate Data Analysis Results

MultivariateResults: Multivariate Data Analysis Results

Description

Arguments

Slots

Author

See Also