WOE Binning Visualization
woebin_plot create plots of count distribution and positive probability for each bin. The binning informations are generates by woebin.
woebin_plot(bins, x = NULL, title = NULL, show_iv = TRUE, line_value = "posprob", ...)
bins |
A list of data frames. Binning information generated by |
x |
Name of x variables. Defaults to NULL. If x is NULL, then all columns except y are counted as x variables. |
title |
String added to the plot title. Defaults to NULL. |
show_iv |
Logical. Defaults to TRUE, which means show information value in the plot title. |
line_value |
The value displayed as line. Accepted values are 'posprob' and 'woe'. Defaults to positive probability. |
... |
Additional parameters |
A list of binning graphics.
# Load German credit data
data(germancredit)
# Example I
bins1 = woebin(germancredit, y="creditability", x="credit.amount")
p1 = woebin_plot(bins1)
print(p1)
# modify line value
p1_w = woebin_plot(bins1, line_value = 'woe')
print(p1_w)
# modify colors
p1_c = woebin_plot(bins1, line_color='#FC8D59', bar_color=c('#FFFFBF', '#99D594'))
print(p1_c)
# show iv, line value, bar value
p1_iv = woebin_plot(bins1, show_iv = FALSE)
print(p1_iv)
p1_lineval = woebin_plot(bins1, show_lineval = FALSE)
print(p1_lineval)
p1_barval = woebin_plot(bins1, show_barval = FALSE)
print(p1_barval)
# 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" )
# }Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.