fdm2id (version 0.9.6)

cartplot: CART Plot

Description

Plot a decision tree obtained by CART.

Usage

cartplot(
  model,
  margin = 0.2,
  branch = 0.3,
  uniform = TRUE,
  fancy = TRUE,
  pretty = TRUE,
  fwidth = 0,
  fheight = 0,
  ...
)

Arguments

model

The decision tree.

margin

an extra fraction of white space to leave around the borders of the tree. (Long labels sometimes get cut off by the default computation).

branch

controls the shape of the branches from parent to child node. Any number from 0 to 1 is allowed. A value of 1 gives square shouldered branches, a value of 0 give V shaped branches, with other values being intermediate.

uniform

if TRUE, uniform vertical spacing of the nodes is used; this may be less cluttered when fitting a large plot onto a page. The default is to use a non-uniform spacing proportional to the error in the fit.

fancy

Logical. If TRUE, nodes are represented by ellipses (interior nodes) and rectangles (leaves) and labeled by yval. The edges connecting the nodes are labeled by left and right splits.

pretty

an alternative to the minlength argument, see labels.rpart.

fwidth

Relates to option fancy and the width of the ellipses and rectangles. If fwidth < 1 then it is a scaling factor (default = 0.8). If fwidth > 1 then it represents the number of character widths (for current graphical device) to use.

fheight

Relates to option fancy and the width of the ellipses and rectangles. If fwidth < 1 then it is a scaling factor (default = 0.8). If fwidth > 1 then it represents the number of character heights (for current graphical device) to use.

...

Other parameters.

See Also

CART, cartdepth, cartinfo, cartleafs, cartnodes

Examples

require (datasets)
data (iris)
model = CART (iris [, -5], iris [, 5])
cartplot (model)