categoriseFromWoE.Wide: Create a column that categorises a variable into the bins...

In Emmanuel-R8/SMBinning: Scoring Modeling and Optimal Binning

Description

This function takes a WoE table of a particular variable describing its bins, and takes the observations of the variable. It creates a tibble of variables (one per bin) containing 0 or 1 whether the original observations fall into the relevant bin.

Usage

categoriseFromWoE.Wide(df, varName, woeTable, verbose = FALSE)

Arguments

df	Dataframe containing the at least one column named 'varName'
varName	Name of the variable (string format) which will be binned follwoing its Weight of Evidence
woeTable	Tibble containing the Weight of Evidence table created by WoETable for 'varName'
verbose	Boolean to add additional information. Default is FALSE

Value

Tibble of categories containing 0/1

Emmanuel-R8/SMBinning documentation built on Dec. 9, 2019, 6:39 p.m.