caNorm

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 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

caNorm 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

Correspondence analysis preprocessing — caNorm

<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>

caNorm: Correspondence analysis preprocessing

Description

Usage

Value

Arguments

Author