smbinning.gen: Utility to generate a new characteristic from a numeric...

In smbinning: Scoring Modeling and Optimal Binning

Description

It generates a data frame with a new predictive characteristic after applying smbinning or smbinning.custom.

Usage

smbinning.gen(df, ivout, chrname = "NewChar")

Arguments

df	Dataset to be updated with the new characteristic.
ivout	An object generated after smbinning or smbinning.custom.
chrname	Name of the new characteristic.

Value

A data frame with the binned version of the original characteristic.

Examples

# Load library and its dataset
library(smbinning) # Load package and its data
pop=smbsimdf1 # Set population
train=subset(pop,rnd<=0.7) # Training sample

# Binning application for a numeric variable
result=smbinning(df=train,y="fgood",x="dep") # Run and save result

# Generate a dataset with binned characteristic
pop=smbinning.gen(pop,result,"g1dep")

# Check new field counts
table(pop$g1dep)

Example output

Loading required package: sqldf
Loading required package: gsubfn
Loading required package: proto
Loading required package: RSQLite
Loading required package: partykit
Loading required package: grid
Loading required package: libcoin
Loading required package: mvtnorm
Loading required package: Formula
Warning message:
no DISPLAY variable so Tk is not available 

 01 <= 7951.11 02 <= 10180.32 03 <= 12468.41  04 > 12468.41 
           245            434            694           1127 

smbinning documentation built on May 1, 2019, 10:06 p.m.