iv.binning.simple: Simple binning of numeric variable

In tomasgreif/woe: Tools to calculate Weight of Evidence (WoE) and Information Value.

Description

This functions bins numeric variable into bins with unique values.

Usage

  iv.binning.simple(df, vars, by = 0.1, eout = TRUE,
    verbose = FALSE)

Arguments

df	data frame with at least one numeric column
vars	numeric column(x) to be binned
by	parameter for quantile based binning. Default value 0.1 will create 10 bins
eout	Exclude outliers. If TRUE (default) then outliers as defined in boxplot are excluded before binning and included afterwards as separated bins.
verbose	Prints additional details when TRUE. Useful mainly for debugging.

Examples

iv.binning.simple(german_data,"credit_amount")
iv.binning.simple(german_data,"credit_amount",by=0.05)
iv.binning.simple(german_data,"credit_amount",eout=FALSE)
iv.binning.simple(german_data,"age",by=0.2)
german_data$cut_cra1 <- iv.binning.simple(german_data,"credit_amount",eout=TRUE)
german_data$cut_cra2 <- iv.binning.simple(german_data,"credit_amount",eout=FALSE)
iv.plot.woe(iv=iv.mult(german_data,"gb",vars=c("cut_cra1","cut_cra2")))

tomasgreif/woe documentation built on May 31, 2019, 5:16 p.m.