CoOL_0_binary_encode_exposure_data: Binary encode exposure data

In CoOL: Causes of Outcome Learning

Binary encode exposure data

Description

This function binary encodes the exposure data set so that each category is coded 0 and 1 (e.g. the variable sex will be two variables men (1/0) and women (0/1)).

Usage

CoOL_0_binary_encode_exposure_data(exposure_data)

Arguments

exposure_data

The exposure data set.

Value

Data frame with the expanded exposure data, where all variables are binary encoded.

References

Rieckmann, Dworzynski, Arras, Lapuschkin, Samek, Arah, Rod, Ekstrom. 2022. Causes of outcome learning: A causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome. International Journal of Epidemiology <https://doi.org/10.1093/ije/dyac078>

Examples

#See the example under CoOL_0_working_example

CoOL documentation built on May 24, 2022, 5:04 p.m.