print.epMCA

Print Multiple Correspondence Analysis (MCA) results

print

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

print.epMCA function

<dl><dt>x</dt>
<dd>an list that contains items to make into the epMCA class.</dd>
<dt>...</dt>
<dd>inherited/passed arguments for S3 print method(s).</dd></dl>

Arguments

Derek Beaton and Cherise Chin-Fatt

Author

Print Multiple Correspondence Analysis (MCA) results — print.epMCA

<dl>

<dt>x</dt>
<dd>an list that contains items to make into the epMCA class.</dd>


<dt>...</dt>
<dd>inherited/passed arguments for S3 print method(s).</dd>

</dl>

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print.epMCA: Print Multiple Correspondence Analysis (MCA) results

Description

Usage

Arguments

Author