bin.rpart: Bin numerical values based on recursive partitioning (rpart)

In JianhuaHuang/streamit: Streamline Routine Modeling Work

Description

bin.rpart relies on rpart function to split numerical values into different nodes. According to the tree-structure splits generated form rpart, bin.rpart further divides the numerical values into different bins, and record the cut points. The usage of bin.rpart is similar to rpart, except that the argument of control in rpart is named as rcontrol in bin.rpart

Usage

bin.rpart(formula, data, rcontrol = rpart.control(), n.group = NULL,
  ...)

Arguments

formula	The formula for rpart
data	The data frame used for binning
rcontrol	The arguments passed into rpart.control
n.group	Number of acceptable binning groups. It can be NULL, a single number (e.g., 5), or a vector (e.g., 3:7). If the value is NULL, it returns the output with the default rpart.control settings. If the n.group is a numeric value, it will change the cp value within rpart.control automatically, until it gets the desirable number of groups
...	All other arguments that can be passed to rpart

Value

The cut points (cut.points) and bins.

Examples

data <- rpart::stagec
bin.rpart(pgstat ~ age, data = data)

JianhuaHuang/streamit documentation built on May 7, 2019, 10:40 a.m.