R/calculate_IV.R
map_IV.Rd
This is a wrapper around calculate_IV()
to loop through multiple predictors
and calculate their Weight of Evidence (WOE) and Information Value (IV) with
respect to an outcome variable.
map_IV(data, predictors = NULL, outcome, bins = 10)
Data frame containing the data.
Character vector containing the names of the predictor
variables. If NULL
(default) is supplied, all numeric variables in the
data will be used.
String containing the name of the outcome variable.
Numeric value representing the number of bins to use. Defaults to 10.
A list of data frames is returned as an output. The first layer of
the list contains Tables
and Summary
:
Tables
is a list of data frames containing the WOE and cumulative sum
IV for each predictor.
Summary
is a single data frame containing the IV for all predictors.
The approach used mirrors the one used in Information::create_infotables()
.