make_strata: Create Strata from Multiple Variables

In MAIHDA: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy

Create Strata from Multiple Variables

Description

This function creates strata (intersectional categories) from multiple categorical variables in a dataset.

Usage

make_strata(data, vars, sep = "_", min_n = 1)

Arguments

data	A data frame containing the variables to create strata from.
vars	Character vector of variable names to use for creating strata.
sep	Separator to use between variable values when creating stratum labels. Default is "_".
min_n	Minimum number of observations required for a stratum to be included. Strata with fewer observations will be coded as NA. Default is 1.

Details

If any of the specified variables has a missing value (NA) for a given observation, that observation will be assigned to the NA stratum (stratum = NA), rather than creating a stratum that includes the missing value.

The strata_info data frame is also attached as an attribute to the data, which allows fit_maihda() to automatically capture stratum labels for use in plots and summaries.

Value

A list with two elements:

data	The original data frame with an added 'stratum' column. The strata_info is also attached as an attribute for use by fit_maihda()
strata_info	A data frame with information about each stratum including counts and the combination of variable values

Examples

# Create strata from gender and race variables
result <- make_strata(maihda_sim_data, vars = c("gender", "race"))
print(result$strata_info)

MAIHDA documentation built on April 5, 2026, 5:06 p.m.