PDAopt_MOD | R Documentation |
PP optimization using PDA index same as original
PDAopt_MOD(origclass,origdata,q=1,weight=TRUE,lambda=0.1,...)
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 |
Find the q-dimensional optimal projection using PDA projectin pursuit index
indexbest maximum PDA index value
projbest optimal q-dimensional projection matrix
origclass original class information vector
origdata original data matrix without class information
Lee, EK, Cook, D.(2010) A Projection Pursuit Index for Large p Small n Data, Statistics and Computing, 20:381-392.
data(iris) PDA.proj.result <- PDAopt_MOD(iris[,5],iris[,1:4],weight=TRUE,q=2,lambda=0.1) PDA.proj.result$indexbest PDA.proj.result$projbest
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