summary.PCA.Analysis

Sumarizes the results of a PCA Analysis.

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Jose Vicente-Villardon

MultBiplotR

Multivariate Analysis Using Biplots in R

summary.PCA.Analysis function

<dl> <dt>object</dt>
<dd>The object with the results of s PCA Analysis.</dd> <dt>latex</dt>
<dd>Should return latex tables?</dd> <dt>...</dt>
<dd>Aditional arguments.</dd></dl>

Arguments

Author

Summary of the results of a PCA. — summary.PCA.Analysis

<dl>

 <dt>object</dt>
<dd>The object with the results of s PCA Analysis.</dd>

 <dt>latex</dt>
<dd>Should return latex tables?</dd>

 <dt>...</dt>
<dd>Aditional arguments.</dd>

</dl>

summary.PCA.Analysis: Summary of the results of a PCA.

Description

Usage

Value

Arguments

Author

Details

Examples