PPtreeViz (version 1.1.0)

Huber.plot: Huber plot

Description

Huber plot for 2D data

Usage

Huber.plot(origdata2D,origclass,PPmethod="LDA",weight=TRUE,r=1,
           lambda=0.5,opt.proj=TRUE,UserDefFtn=NULL,...)

Arguments

origdata2D

2-dimensional numerical data for Huber plot

origclass

class information vector of data

PPmethod

method for projection pursuit; "LDA", "PDA", "Lr", "GINI", "ENTROPY", and "UserDef"

weight

weight flag in LDA, PDA and Lr index

r

r in Lr index

lambda

lambda in PDA index

opt.proj

flag to show the best projection in the plot

UserDefFtn

User defined index function when PPmethod="UserDef"

...

arguments to be passed to methods

Details

Draw Huber plot for 2-dimensional data with various PP indices and the histogram of the projected data onto the optimal projection to explore the behavior of the projection prsuit indices

References

Lee, EK., Cook, D., Klinke, S., and Lumley, T.(2005) Projection Pursuit for exploratory supervised classification, Journal of Computational and Graphical statistics, 14(4):831-846.

Examples

data(iris)
Huber.plot(iris[,1:2],iris[,5],PPmethod="LDA")