displayWOE: displayWOE

In CollapseLevels: Collapses Levels, Computes Information Value and WoE

Description

This function displays the Weight of Evidence of the levels of an attribute.

Usage

displayWOE(dset, col = "xyz", resp = "y", adjFactor = 0.5, bins = 10)

Arguments

dset	The data frame containing the data set
col	A character respresenting the name of the attribute . The attribute can either be numeric or categorical
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
adjFactor	A number or a decimal denoting what is to be added to the number of responses (binary outcome variable is 1 ) or to the number of non responses (binary outcome variable is 0) if either is zero for any level of the attribute
bins	A number denoting the number of bins.Default value is 10

Examples

# Load the German_Credit data set supplied with this package

data("German_Credit")

displayWOE(German_Credit,col="Credit_History",resp="Good_Bad")

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