partition.tree: Plot the Partitions of a simple Tree Model

In tree: Classification and Regression Trees

Plot the Partitions of a simple Tree Model

Description

Plot the partitions of a tree involving one or two variables.

Usage

partition.tree(tree, label = "yval", add = FALSE, ordvars, ...)

Arguments

tree	A object of class "tree".
label	A character string giving the column of the frame component of tree to be used to label the regions.
add	If true, add to existing plot, otherwise start a new plot.
ordvars	The ordering of the variables to be used in a 2D plot. Specify the names in a character string of length 2; the first will be used on the x axis.
...	Graphical parameters.

Details

This can be used with a regression or classification tree containing one or two continuous predictors (only).

If the tree contains one predictor, the predicted value (a regression tree) or the probability of the first class (a classification tree) is plotted against the predictor over its range in the training set.

If the tree contains two predictors, a plot is made of the space covered by those two predictors and the partition made by the tree is superimposed.

Value

None.

Author(s)

B. D. Ripley

See Also

tree

Examples

ir.tr <- tree(Species ~., iris)
ir.tr
ir.tr1 <- snip.tree(ir.tr, nodes = c(12, 7))
summary(ir.tr1)
par(pty = "s")
plot(iris[, 3],iris[, 4], type="n",
     xlab="petal length", ylab="petal width")
text(iris[, 3], iris[, 4], c("s", "c", "v")[iris[, 5]])
partition.tree(ir.tr1, add = TRUE, cex = 1.5)

# 1D example
ir.tr <- tree(Petal.Width ~ Petal.Length, iris)
plot(iris[,3], iris[,4], type="n", xlab="Length", ylab="Width")
partition.tree(ir.tr, add = TRUE, cex = 1.5)

tree documentation built on Feb. 16, 2023, 10:10 p.m.