pcaSupplementaryRowsPreProcessing

Preprocessing for supplemental rows in PCA.

multivariate

misc

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

Cherise R. Chin Fatt

Herve Abdi

pcaSupplementaryRowsPreProcessing function

<dl><dt>SUP.DATA</dt>
<dd>A supplemental matrix that has the same number of columns as
an active data set.</dd>
<dt>center</dt>
<dd>The center from the active data. NULL will center
<code>SUP.DATA</code> to itself.</dd>
<dt>scale</dt>
<dd>The scale factor from the active data. NULL will scale
(z-score) <code>SUP.DATA</code> to itself.</dd>
<dt>W</dt>
<dd>Weights from the active data.</dd></dl>

Arguments

Author

Preprocessing for supplemental rows in PCA. — pcaSupplementaryRowsPreProcessing

<dl>

<dt>SUP.DATA</dt>
<dd>A supplemental matrix that has the same number of columns as
an active data set.</dd>


<dt>center</dt>
<dd>The center from the active data. NULL will center
<code>SUP.DATA</code> to itself.</dd>


<dt>scale</dt>
<dd>The scale factor from the active data. NULL will scale
(z-score) <code>SUP.DATA</code> to itself.</dd>


<dt>W</dt>
<dd>Weights from the active data.</dd>

</dl>

pcaSupplementaryRowsPreProcessing: Preprocessing for supplemental rows in PCA.

Description

Usage

Value

Arguments

Author