varbin.monotonic: varbin.monotonic

In varbin: Optimal Binning of Continuous and Categorical Variables

Description

Monotonically in- or decreasing restriction on binning of numerical variable

Usage

varbin.monotonic(df, x, y, p=0.05, increase=F, decrease=F, auto=T)

Arguments

df	A data frame
x	String. Name of continuous variable in data frame.
y	String. Name of binary response variable (0,1) in data frame.
p	Percentage of records per bin. Default 5 pct. (0.05). This parameter only accepts values greater than 0.00 (0 pct.) and lower than 0.50 (50 pct.).
increase	Logical (TRUE/FALSE). Whether to force an increasing monotonic functional form (if possible)
decrease	Logical (TRUE/FALSE). Whether to force a decreasing monotonic functional form (if possible)
auto	Logical (TRUE/FALSE). Whether to choose which of the two above is most optimal

Value

The command varbin generates a data frame with necessary info and utilities for a monotonically in- or decreasing functional form restriction imposed to the binning. The user should save the output result so it can be used with e.g. varbin.plot, or varbin.convert.

Examples

# Set seed and generate data
set.seed(1337)
target <- as.numeric(runif(10000, 0, 1)<0.2)
age <- round(rnorm(10000, 40, 15), 0)
age[age<20] <- round(rnorm(sum(age<20), 40, 5), 0)
age[age>95] <- round(rnorm(sum(age>95), 40, 5), 0)
inc <- round(rnorm(10000, 100000, 10000), 0)
educ <- sample(c("MSC", "BSC", "SELF", "PHD", "OTHER"), 10000, replace=TRUE)
df <- data.frame(target=target, age=age, inc=inc, educ=educ)

# Perform monotonically restricted binning
result <- varbin.monotonic(df, "inc", "target")

varbin documentation built on May 1, 2019, 8:22 p.m.