makeRowProfiles

optional. Weights to include in preprocessing.

weights

optional. Masses to include in preprocessing.

masses

a boolean. If TRUE, Hellinger preprocessing is used. Else, CA row profile is computed.

hellinger

This function performs all preprocessing steps required for Correspondence Analysis-based preprocessing.

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

makeRowProfiles function

<dl> <dt>X</dt>
<dd>Data matrix.</dd> <dt>weights</dt>
<dd>optional. Weights to include in preprocessing.</dd> <dt>masses</dt>
<dd>optional. Masses to include in preprocessing.</dd> <dt>hellinger</dt>
<dd>a boolean. If TRUE, Hellinger preprocessing is used. Else, CA row profile is computed.</dd></dl>

Arguments

Author

Preprocessing for CA-based analyses — makeRowProfiles

<dl>

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

 <dt>weights</dt>
<dd>optional. Weights to include in preprocessing.</dd>

 <dt>masses</dt>
<dd>optional. Masses to include in preprocessing.</dd>

 <dt>hellinger</dt>
<dd>a boolean. If TRUE, Hellinger preprocessing is used. Else, CA row profile is computed.</dd>

</dl>

makeRowProfiles: Preprocessing for CA-based analyses

Description

Usage

Value

Arguments

Author