caSupplementalElementsPreProcessing

Data that will be supplemental. Row profile normalization is used. For supplemental rows use <code>t(SUP.DATA)</code>.

SUP.DATA

CA preprocessing for data. Can be performed on rows or columns of your data. This is a row-profile normalization.

 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

caSupplementalElementsPreProcessing function

<dl> <dt>SUP.DATA</dt>
<dd>Data that will be supplemental. Row profile normalization is used. For supplemental rows use <code>t(SUP.DATA)</code>.</dd></dl>

Arguments

Author

Correspondence Analysis preprocessing. — caSupplementalElementsPreProcessing

<dl>

 <dt>SUP.DATA</dt>
<dd>Data that will be supplemental. Row profile normalization is used. For supplemental rows use <code>t(SUP.DATA)</code>.</dd>

</dl>

caSupplementalElementsPreProcessing: Correspondence Analysis preprocessing.

Description

Usage

Value

Arguments

Author

See Also