PPtreeViz (version 1.3.0)

PPclassNode.Viz: PPtree node visualization

Description

Visualization tools to explore each node of PPtree

Usage

PPclassNode.Viz(PPclassOBJ,node.id,Rule,legend,std,image,diff.prop)

Arguments

PPclassOBJ

PPregclass object

node.id

node ID

Rule

cutoff rule

legend

flag to represent legend in the plot. Default value is TRUE

std

flag to standardize data before drawing plot

image

flag to draw image plot of correlation matrix

diff.prop

percentage of number of variables with significant differences and shown in red in the bar chart style means

Details

For the inner node, four plots are provided - the bar chart style plot with projection pursuit coefficients of each variable, the histogram of the projected data, the bar chart style plots with means of each variables for the left and the right group, and the image plot of correlations.

References

Lee, YD, Cook, D., Park JW, and Lee, EK(2013) PPtree: Projection Pursuit Classification Tree, Electronic Journal of Statistics, 7:1369-1386.

Examples

data(iris)
Tree.result <- PP.Tree.class(iris[,5],iris[,1:4],"LDA")
Tree.result
PPclassNode.Viz(Tree.result,1,1)