plot.MGC

PLots an object of type MGC (Model-based Gaussian Clustering)

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

plot.MGC function

<dl> <dt>x</dt>
<dd>An object of type MGC</dd> <dt>vars</dt>
<dd>A subset of indices of the variables to be plotted</dd> <dt>groups</dt>
<dd>A factor containing groups to represent. Usually the clusters obtained from the algorithm.</dd> <dt>CexPoints</dt>
<dd>Size of the points.</dd> <dt>Confidence</dt>
<dd>Confidence of the ellipses</dd> <dt>...</dt>
<dd>Anay additional graphical parameters</dd></dl>

Arguments

Author

Plot the results of Model-Based Gaussian Clustering algorithms — plot.MGC

<dl>

 <dt>x</dt>
<dd>An object of type MGC</dd>

 <dt>vars</dt>
<dd>A subset of indices of the variables to be plotted</dd>

 <dt>groups</dt>
<dd>A factor containing groups to represent. Usually the clusters obtained from the algorithm.</dd>

 <dt>CexPoints</dt>
<dd>Size of the points.</dd>

 <dt>Confidence</dt>
<dd>Confidence of the ellipses</dd>

 <dt>...</dt>
<dd>Anay additional graphical parameters</dd>

</dl>

plot.MGC: Plot the results of Model-Based Gaussian Clustering algorithms

Description

Usage

Value

Arguments

Author

Details

Examples