varbin.plot: varbin.plot

In varbin: Optimal Binning of Continuous and Categorical Variables

Description

Generate simple plot to visualize binning results

Usage

varbin.plot(ivTable)

Arguments

ivTable

Output from either varbin, varbin.factor, varbin.monotonic or varbin.kink.

Value

The command varbin.plot generates a simple plot with the Weight of Evidence values on the y-axis and the cutpoints/binnings on the x-axis. Gives a nice overview of the functional form and the relatioship between the explanatory variable and the dependent variable.

Examples

# Set seed and generate data
set.seed(1337)
target <- as.numeric(runif(10000, 0, 1)<0.2)
age <- round(rnorm(10000, 40, 15), 0)
age[age<20] <- round(rnorm(sum(age<20), 40, 5), 0)
age[age>95] <- round(rnorm(sum(age>95), 40, 5), 0)
inc <- round(rnorm(10000, 100000, 10000), 0)
educ <- sample(c("MSC", "BSC", "SELF", "PHD", "OTHER"), 10000, replace=TRUE)
df <- data.frame(target=target, age=age, inc=inc, educ=educ)

# Perform restricted binning
result <- varbin.kink(df, "inc", "target")
# Plot result
varbin.plot(result)

varbin documentation built on May 1, 2019, 8:22 p.m.