Usage
## S3 method for class 'apss':
plot(x, K, ...)## S3 method for class 'Tree':
plot(x, uniform=TRUE, branch=0.2, margin = .1, newpage = TRUE,
type = "naive", compress=TRUE, nspace, minbranch=.5, ...)
Arguments
x
an object of the S4 class "apss" and "Tree"
K
a scalar object that plots the kaplan meire survival curves for the proposed number of K. If missing, it works with selected K in the fitting model.
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.
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).
newpage
a logical parameter to select newpage.
type
a logical parameter to select the type of tree diagram.
compress
if 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 e
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.
minbranch
set the minimum length for a branch to 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 br
...
other arguments to the plot.default function can be passed here.