AOUSDOHtools (version 1.0.4)

calc_food_insecurity: Calculate Food Insecurity Risk

Description

This function creates a binary categorical variable (TRUE/FALSE) indicating whether a participant is at risk or currently experiencing food insecurity based on their responses to two specific survey items.

Usage

calc_food_insecurity(survey_df)

Value

A data frame with two columns: `person_id` and `food_insecurity`, where `food_insecurity` is TRUE if the participant reported experiencing food insecurity, and FALSE otherwise. Participants who did not respond to both questions will have an NA value for `food_insecurity`.

Arguments

survey_df

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

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5),
  question_concept_id = rep(c(40192426, 40192517), 5),
  answer_concept_id = c(40192508, 40192488, 40192508, 903096, 903096, 903096,
                        40192488, 40192488, 40192508, 40192508)
)

# Compute food insecurity risk scores
food_insecurity_scores <- calc_food_insecurity(survey_df)
head(food_insecurity_scores)