Plot an Arbor Object

DESCRIPTION:

Plots an arbor object on the current graphics device.

USAGE:

plot.arbor(tree, uniform=F, branch=1, compress=F, nspace, margin=0, 
                minbranch=.3, ...) 

REQUIRED ARGUMENTS:

tree
a fitted object of class arbor, containing a classification, regression, or rate tree.

OPTIONAL ARGUMENTS:

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.
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.
compress
if FALSE, the leaf nodes will be at the horzontal plot coordinates of 1:nleaves (like plot.tree). If TRUE, the routine attempts a more compact arrangement of the tree. The compaction algorithm assumes uniform=T; surprisingly, the result is usually an improvement even when that is not the case.
nspace
the amount of extra space between a node with children and a leaf, as compared to the minimal space between leaves. Applies to compressed trees only. The default is the value of branch.
margin
an extra percentage of white space to leave around the borders of the tree. (Long labels sometimes get cut off by the default computation).
minbranch
set the minimum length for a branch to minbranch times the average branch length. This parameter is ignored if uniform=T. Sometimes a split will give very little improvement, or even (in the classification case) no improvement at all. A tree with branch lengths strictly proportional to improvement leaves no room to squeeze in node labels.

VALUE:

the coordinates of the nodes are returned as a list, with components x and y.

SIDE EFFECTS:

an unlabeled plot is produced on the current graphics device.

DETAILS:

This function is a method for the generic function plot, for objects of class arbor.
The y-coordinate of the top node of the tree will always be 1.

SEE ALSO:

,

EXAMPLES:

fit <- arbor(Price ~ Mileage + Type + Country, cu.summary) 
plot(fit, compress=T) 
text(fit, use.n=T)