AOUSDOHtools (version 1.0.4)

calc_housing_insecurity: Calculate Housing Insecurity

Description

This function creates a binary categorical variable indicating whether a participant is at risk of, or is currently experiencing, housing insecurity. Housing insecurity is defined as having moved two or more times in the past 12 months.

Usage

calc_housing_insecurity(survey_df)

Value

A data frame with two columns: `person_id` and `housing_insecurity`, where `housing_insecurity` is a TRUE or FALSE indicator for each participant. TRUE indicates housing insecurity (two or more moves in the past year), and FALSE otherwise. Participants without data will have NA values.

Arguments

survey_df

A data frame containing survey data with at least three columns: `person_id`, `question_concept_id`, and `answer`.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = c(1, 2, 3, 4, 5),
  question_concept_id = rep(40192441, 5),
  answer = c("0", "1", "2", "3", "Skip")
)

# Compute housing insecurity status
housing_insecurity_scores <- calc_housing_insecurity(survey_df)
head(housing_insecurity_scores)