Get observations belonging to a region in tree.

Source: R/user_funs.R

Pass in a tree and a node number. This returns a vector of booleans identifying which members of the training set belong to the given region. Mainly used to form vectors nu to define parameters from a given tree. Since this is called internally by branchInference(), will rarely be needed directly by users.

getRegion(tree, nn)

Arguments

tree

An rpart object. Must have been built with model=TRUE
nn

A node number. Can be a string or an integer.

Value

The indices of data that belong to this region in the training set. The training set is stored in tree$model.

Examples

data(blsdata, package="treevalues")
bls.tree <-rpart::rpart(kcal24h0~hunger+disinhibition+resteating+rrvfood+liking+wanting,
    model = TRUE,  data = blsdata, cp=0.02)
branch <- getBranch(bls.tree, 2)
left_child <- getRegion(bls.tree,2)
right_child <- getRegion(bls.tree,3)
nu_sib <- left_child/sum(left_child) -  right_child/sum(right_child)
S_sib <- getInterval(bls.tree, nu_sib,branch)
correctPVal(S_sib, nu_sib, blsdata$kcal24h0, sd(blsdata$kcal24h0))

#> [1] 0.4425364