tree
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a fitted object of class rpart , containing a classification, regression,
or rate tree.
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uniform
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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.
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branch
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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.
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compress
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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.
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nspace
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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 .
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margin
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an extra percentage of white space to leave around the borders of the tree.
(Long labels sometimes get cut off by the default computation).
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minbranch
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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.
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