smbinning.plot: Plots after binning

In smbinning: Scoring Modeling and Optimal Binning

Description

It generates plots for distribution, bad rate, and weight of evidence after running smbinning and saving its output.

Usage

smbinning.plot(ivout, option = "dist", sub = "")

Arguments

ivout	An object generated by binning.
option	Distribution ("dist"), Good Rate ("goodrate"), Bad Rate ("badrate"), and Weight of Evidence ("WoE").
sub	Subtitle for the chart (optional).

Examples

# Load library and its dataset
library(smbinning)

# Example 1: Numeric variable (1 page, 4 plots)
result=smbinning(df=smbsimdf1,y="fgood",x="cbs1") # Run and save result
par(mfrow=c(2,2))
boxplot(smbsimdf1$cbs1~smbsimdf1$fgood,
        horizontal=TRUE, frame=FALSE, col="lightgray",main="Distribution")
mtext("Credit Score",3)
smbinning.plot(result,option="dist",sub="Credit Score")
smbinning.plot(result,option="badrate",sub="Credit Score")
smbinning.plot(result,option="WoE",sub="Credit Score")
par(mfrow=c(1,1))

# Example 2: Factor variable (1 plot per page)
result=smbinning.factor(df=smbsimdf1,y="fgood",x="inc",maxcat=11)
smbinning.plot(result,option="dist",sub="Income Level")
smbinning.plot(result,option="badrate",sub="Income Level")
smbinning.plot(result,option="WoE",sub="Income Level")

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 

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