Learn R Programming

scorecard (version 0.1.9)

woebin_plot: WOE Binning Visualization

Description

woebin_plot create plots of count distribution and bad probability for each bin. The binning informations are generates by woebin.

Usage

woebin_plot(bins, x = NULL, title = NULL, show_iv = TRUE)

Arguments

bins

A list or data frame. Binning information generated by woebin.

x

Name of x variables. Default is NULL. If x is NULL, then all variables except y are counted as x variables.

title

String added to the plot title. Default is NULL.

show_iv

Logical. Default is TRUE, which means show information value in the plot title.

Value

List of binning plot

See Also

woebin, woebin_ply, woebin_adj

Examples

Run this code
# NOT RUN {
# Load German credit data
data(germancredit)

# Example I
bins1 = woebin(germancredit, y="creditability", x="credit.amount")

p1 = woebin_plot(bins1)
print(p1)

# }
# NOT RUN {
# Example II
bins = woebin(germancredit, y="creditability")
plotlist = woebin_plot(bins)
print(plotlist$credit.amount)

# # save binning plot
# for (i in 1:length(plotlist)) {
#   ggplot2::ggsave(
#      paste0(names(plotlist[i]), ".png"), plotlist[[i]],
#      width = 15, height = 9, units="cm" )
#   }
# }
# NOT RUN {
# }

Run the code above in your browser using DataLab