nominalCheck

A data matrix to check. This should be 0/1 disjunctive coded. <code>nominalCheck</code> just checks to make sure it is complete.

DATA

Checks if data is in disjunctive (sometimes called complete binary) format. To be used with MCA (e.g., <code>epMCA</code>).

 multivariate

 misc 

 multiple correspondence analysis 

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

nominalCheck function

<dl> <dt>DATA</dt>
<dd>A data matrix to check. This should be 0/1 disjunctive coded. <code>nominalCheck</code> just checks to make sure it is complete.</dd></dl>

Arguments

Author

Checks if data are disjunctive. — nominalCheck

<dl>

 <dt>DATA</dt>
<dd>A data matrix to check. This should be 0/1 disjunctive coded. <code>nominalCheck</code> just checks to make sure it is complete.</dd>

</dl>

nominalCheck: Checks if data are disjunctive.

Description

Usage

Value

Arguments

Author