apply_binnings: Apply binnings

In jbkunst/irks: Tools for credit risk modelling

Description

Apply binnings

Usage

apply_binnings(binnings, data, woe = FALSE, suffix = "_cat")

Arguments

binnings	A named list of binning objects.
data	A data frame containing variables to bin. Names need need to coincide.
woe	If the value is the woe instead of the categoric variable.
suffix	A string to be added to the output to disambiguate the original variables names.

Examples

data("german_credit")

dbiv <- describe_bivariate(german_credit, target = good_bad)
dbiv <- dplyr::filter(dbiv, iv > 0.1)

binnings <- dplyr::select(dbiv, variable, binning)
binnings <- tibble::deframe(binnings)

data <- dplyr::select(german_credit, credit_amount, property,
                      purpose, credit_history, good_bad)

apply_binnings(binnings, data)

jbkunst/irks documentation built on May 22, 2021, 2:09 p.m.