# node_data: Data structure with the projected and boundary by node and class.

## Description

Data structure with the projected and boundary by node and class.

## Usage

node_data(ppf, tr, Rule = 1)

## Arguments

tr

numerical value to identify a tree

Rule

split rule 1:mean of two group means, 2:weighted mean, 3: mean of max(left group) and min(right group), 4: weighted mean of max(left group) and min(right group)

## Value

Data frame with projected data for each class and node id and the boundaries

## Examples

# NOT RUN {
#crab data set with all the observations used as training
pprf.crab <- PPforest(data = crab, std =TRUE, class = 'Type',
size.tr = 1, m = 200, size.p = .5, PPmethod = 'LDA')
node_data(ppf = pprf.crab, tr = 1)
# }