levelsCollapser: levelsCollapser

In CollapseLevels: Collapses Levels, Computes Information Value and WoE

Description

This function displays the response rates by the levels of an attribute Levels with similar response rates may be combined

Usage

levelsCollapser(dset, resp = "y", bins = 10)

Arguments

dset	The data frame containing the data set
resp	A character respresenting the name of the binary outcome variable The binary outcome variable may be a factor with two levels or an integer (or numeric ) with two unique values
bins	A number denoting the number of bins.Default value is 10

Value

A list containing the tables of response rate by levels for every attribute

Examples

# Load the German_Credit data set supplied with this package

data("German_Credit")

# Create an empty list

l<-list()

# Call the function as follows

l<-levelsCollapser(German_Credit,resp="Good_Bad",bins=10)

# response rate by levels of the Account_Balance in the German_Credit data

l$Account_Balance

# Collapse levels with similar response percentages.

CollapseLevels documentation built on July 1, 2020, 5:38 p.m.