59 lines
1.7 KiB
R
59 lines
1.7 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/tree.wrapper.R
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\name{vt.tree}
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\alias{vt.tree}
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\title{Trees to find Subgroups}
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\usage{
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vt.tree(tree.type = "class", vt.difft, sens = ">", threshold = seq(0.5,
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0.8, 0.1), screening = NULL, ...)
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}
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\arguments{
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\item{tree.type}{must be a character. "class" for classification tree, "reg"
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for regression tree.}
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\item{vt.difft}{\code{\link{VT.difft}} object. Or return of
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\code{\link{vt.forest}} function.}
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\item{sens}{must be a character c(">","<"). See \code{\link{VT.tree}} for
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details.}
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\item{threshold}{must be numeric. It can be a unique value or a vector. If
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numeric vector, a list is returned. See \code{\link{VT.tree}} for details.}
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\item{screening}{must be logical. If TRUE, only varimp variables of VT.object
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is used to create the tree.}
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\item{...}{rpart() function parameters. Can be used for any tree.type.}
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}
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\value{
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\code{VT.tree} or a list of \code{VT.tree} depending on threshold
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dimension. See examples.
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}
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\description{
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\code{vt.tree} is a wrapper of \code{\link{VT.tree.class}} and
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\code{\link{VT.tree.reg}}. With parameter tree.type, any of these two class
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can be used with its own parameter.
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}
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\details{
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See \code{\link{VT.tree}}, \code{\link{VT.tree.class}} and
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\code{\link{VT.tree.reg}} classes.
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}
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\examples{
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data(sepsis)
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vt.o <- vt.data(sepsis, "survival", "THERAPY", T)
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# inside model :
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vt.f <- vt.forest("one", vt.o)
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# use classification tree
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vt.tr <- vt.tree("class", vt.f, threshold = c(0.01, 0.05))
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# return a list
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class(vt.tr)
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# access one of the tree
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tree1 <- vt.tr$tree1
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# return infos
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# vt.tr$tree1$getInfos()
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# vt.tr$tree1$getRules()
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# use vt.subgroups tool:
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subgroups <- vt.subgroups(vt.tr)
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}
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