getWOE: Compute the Given Binning WOE

In xxzcool/scoremodel: Credit Scoring Modeling Toolbox

Description

getWOE will compute the given binning WOE of x variable, return a numeric.

Usage

getWOE(df, cutbound, totalgood = NULL, totalbad = NULL)

Arguments

df	A dataframe only with two variables, X and Y.
cutbound	A single value for factor variable, or a vector with lbound and ubound for numeric variable.
totalgood	Default NULL. if not default, will use them directly, otherwise will recalculate based on df.
totalbad	Default NULL. if not default, will use them directly, otherwise will recalculate based on df.

Value

a numeric

See Also

Other WOE and IV computing functions: dfIV, getIV, sumIV

Examples

data(CreditData)
getWOE(CreditData[c("gender","target")], cutbound = "M")
getWOE(CreditData[c("gscore","target")], cutbound = c(-Inf,534))
getWOE(CreditData[c("gscore","target")], cutbound = c(577,617))
getWOE(CreditData[c("gscore","target")], cutbound = c(617,Inf))
getWOE(CreditData[c("gscore","target")], cutbound = NA)

xxzcool/scoremodel documentation built on May 4, 2019, 10:56 a.m.