calc_nei {AOUSDOHtools} | R Documentation |
Calculate Neighborhood Environment Index (NEI)
Description
This function computes a Neighborhood Environment Index (NEI) score based on 6 specific items related to the built environment for physical activity. The score ranges from 0 to 6, with higher scores indicating a more favorable environment for physical activity.
Usage
calc_nei(survey_df)
Arguments
survey_df |
A data frame containing survey data with at least three columns: 'person_id', 'question_concept_id', and 'answer_concept_id'. |
Value
A data frame with two columns: 'person_id' and 'nei', where 'nei' is the calculated Neighborhood Environment Index score for each participant. The score is the sum of individual item scores, where higher values indicate a more favorable built environment for physical activity. Participants who did not answer all 6 questions will have NA values.
Examples
# Create a sample survey data frame
survey_df <- data.frame(
person_id = rep(1:3, each = 6),
question_concept_id = rep(c(40192410, 40192431, 40192436, 40192437,
40192440, 40192458), times = 3),
answer_concept_id = sample(c(40192527, 40192422, 40192407, 903087,
903096, 40192520, 40192514, 40192455),
18, replace = TRUE)
)
# Compute Neighborhood Environment Index (NEI) scores
nei_scores <- calc_nei(survey_df)
head(nei_scores)
[Package AOUSDOHtools version 1.0.4 Index]