hellingerNorm

The dimensions of X in a vector of length 2 (rows, columns). See <code><a rd-options="" href="/link/dim?package=ExPosition&version=2.8.23" data-mini-rdoc="ExPosition::dim">dim</a></code>

X_dimensions

colTotal

rowTotal

grandTotal

Optional weights to include for the columns.

weights

Optional masses to include for the rows.

masses

Performs all steps required for Hellinger form of CA processing (row profile approach).

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>.

Derek Beaton

ExPosition

Exploratory Analysis with the Singular Value Decomposition

hellingerNorm function

<dl> <dt>X</dt>
<dd>Data matrix</dd> <dt>X_dimensions</dt>
<dd>The dimensions of X in a vector of length 2 (rows, columns). See <code><a href="/link/dim?package=ExPosition&version=2.8.23" data-mini-rdoc="ExPosition::dim">dim</a></code></dd> <dt>colTotal</dt>
<dd>Vector of column sums.</dd> <dt>rowTotal</dt>
<dd>Vector of row sums.</dd> <dt>grandTotal</dt>
<dd>Grand total of X</dd> <dt>weights</dt>
<dd>Optional weights to include for the columns.</dd> <dt>masses</dt>
<dd>Optional masses to include for the rows.</dd> </dl>

Arguments

Author

Hellinger version of CA preprocessing — hellingerNorm

<dl>

 <dt>X</dt>
<dd>Data matrix</dd>

 <dt>X_dimensions</dt>
<dd>The dimensions of X in a vector of length 2 (rows, columns). See <code><a href='https://rdrr.io/r/base/dim.html'>dim</a></code></dd>

 <dt>colTotal</dt>
<dd>Vector of column sums.</dd>

 <dt>rowTotal</dt>
<dd>Vector of row sums.</dd>

 <dt>grandTotal</dt>
<dd>Grand total of X</dd>

 <dt>weights</dt>
<dd>Optional weights to include for the columns.</dd>

 <dt>masses</dt>
<dd>Optional masses to include for the rows.</dd>

 </dl>

hellingerNorm: Hellinger version of CA preprocessing

Description

Usage

Value

Arguments

Author