plot.PPtreeclass: PPtree plot

In PPtreeViz: Projection Pursuit Classification Tree Visualization

Description

projection pursuit classification tree plot

Usage

## S3 method for class 'PPtreeclass'
plot(
  x,
  font.size = 17,
  width.size = 1,
  main = "Projection Pursuit Classification Tree",
  sub = NULL,
  ...
)

Arguments

x	PPtreeclass object
font.size	font size of plot
width.size	size of eclipse in each node.
main	main title
sub	sub title
...	arguments to be passed to methods

Details

Draw projection pursuit classification tree with tree structure. It is modified from a function in party library.

References

Lee, EK(2017) PPtreeViz: An R Package for Visualizing Projection Pursuit Classification Trees, Journal of Statistical Software <doi:10.18637/jss.v083.i08>

Examples

data(iris)
Tree.result <- PPTreeclass(Species~., data = iris,"LDA")
Tree.result
plot(Tree.result)

Example output

Loading required package: gridExtra
Loading required package: ggplot2
Loading required package: partykit
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
============================================================= 
Projection Pursuit Classification Tree result 
=============================================================

1) root
   2)* proj1*X < cut1  ->  "setosa"
   3)  proj1*X >= cut1
      4)* proj2*X < cut2  ->  "virginica"
      5)* proj2*X >= cut2  ->  "versicolor"

Error rates of various cutoff values 
-------------------------------------------------------------
           Rule1 Rule2  Rule3  Rule4 Rule5 Rule6  Rule7  Rule8
error.rate  0.02  0.02 0.0267 0.0267  0.02  0.02 0.0267 0.0267

PPtreeViz documentation built on Dec. 6, 2019, 9:07 a.m.