calc_housing_insecurity: Calculate Housing Insecurity

In AOUSDOHtools: Analyzing AOU SDOH Survey Data

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)

Arguments

survey_df

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

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.

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)

AOUSDOHtools documentation built on April 3, 2025, 8:11 p.m.