"plot"(x, uniform = FALSE, branch = 1, compress = FALSE, nspace, margin = 0, minbranch = 0.3, ...)"rpart", containing a classification,
regression, or rate tree.
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.
FALSE, the leaf nodes will be at the horizontal plot coordinates of
1:nleaves.
If TRUE, the routine attempts a more compact arrangement of
the tree.
The compaction algorithm assumes uniform=TRUE; surprisingly, the result
is usually an improvement even when that is not the case.
branch.
minbranch times the average
branch length. This parameter is ignored if uniform=TRUE.
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.
x and y.
text command for adding labels, some extra information about the
plot needs be retained. This is kept in an environment in the package.plot, for objects
of class rpart.
The y-coordinate of the top node of the tree will always be 1.
rpart, text.rpart
fit <- rpart(Price ~ Mileage + Type + Country, cu.summary)
par(xpd = TRUE)
plot(fit, compress = TRUE)
text(fit, use.n = TRUE)
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