AOUSDOHtools (version 1.0.4)

calc_social_disorder: Calculate Neighborhood Social Disorder Score

Description

This function computes a numeric score representing the level of social disorder in a participant's neighborhood. The score ranges from 1 to 4, with higher scores indicating higher social disorder and lower scores indicating social order.

Usage

calc_social_disorder(survey_df)

Value

A data frame with two columns: `person_id` and `social_disorder`, where `social_disorder` is the average score for neighborhood social disorder for each participant. The score is calculated as the mean of seven items, with higher values indicating more social disorder. Participants who did not answer all seven questions 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_concept_id`.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = rep(1:3, each = 7),
  question_concept_id = rep(c(40192500, 40192493, 40192457, 40192476,
                              40192404, 40192400, 40192384), times = 3),
  answer_concept_id = sample(c(40192514, 40192455, 40192408, 40192422),
                             21, replace = TRUE)
)

# Compute neighborhood social disorder scores
social_disorder_scores <- calc_social_disorder(survey_df)
head(social_disorder_scores)