PPtreeViz (version 2.0.4)

PDAopt: PP optimization using PDA index

Description

PP optimization using PDA index

Usage

PDAopt(origclass,origdata,q=1,weight=TRUE,lambda=0.1,...)

Arguments

origclass

class information vector of data

origdata

data matrix without class information

q

dimension of projection vector

weight

weight flag in PDA index

lambda

lambda in PDA index

...

arguments to be passed to methods

Value

indexbest maximum PDA index value

projbest optimal q-dimensional projection matrix

origclass original class information vector

origdata original data matrix without class information

Details

Find the q-dimensional optimal projection using PDA projectin pursuit index

References

Lee, EK, Cook, D.(2010) A Projection Pursuit Index for Large p Small n Data, Statistics and Computing, 20:381-392.

Examples

# NOT RUN {
data(iris)
PDA.proj.result <- PDAopt(iris[,5],iris[,1:4],weight=TRUE,q=2,lambda=0.1)
PDA.proj.result$indexbest
PDA.proj.result$projbest
# }