dummize_ipd: Create dummy variables from categorical variables in an...

In maicplus: Matching Adjusted Indirect Comparison

Create dummy variables from categorical variables in an individual patient data (ipd)

Description

This is a convenient function to convert categorical variables into dummy binary variables. This would be especially useful if the variable has more than two factors. Note that the original variable is kept after a variable is dummized.

Usage

dummize_ipd(raw_ipd, dummize_cols, dummize_ref_level)

Arguments

raw_ipd	ipd data that contains variable to dummize
dummize_cols	vector of column names to binarize
dummize_ref_level	vector of reference level of the variables to binarize

Value

ipd with dummized columns

Examples

data(adsl_twt)
dummize_ipd(adsl_twt, dummize_cols = c("SEX"), dummize_ref_level = c("Male"))

maicplus documentation built on April 4, 2025, 2:17 a.m.