calc_english_proficient: Calculate English Proficiency Category

In AOUSDOHtools: Analyzing AOU SDOH Survey Data

Calculate English Proficiency Category

Description

This function creates a nominal categorical variable with values 'Proficient', 'Not proficient', or 'Unknown' for participants who endorsed speaking a language other than English at home. Proficient' refers to participants who reported speaking English 'Very well' or 'Well', while 'Not proficient' refers to participants who reported speaking English 'Not well' or 'Not at all'.

Usage

calc_english_proficient(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 'english_proficient', where 'english_proficient' categorizes participants as 'Proficient', 'Not proficient', or 'Unknown'. Participants who did not respond will have an NA value for 'english_proficient'.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = c(1, 2, 3, 4, 5, 6, 7),
  question_concept_id = rep(40192529, 7),
  answer_concept_id = c(40192435, 40192510, 40192405, 40192387,
                        903087, 903079, NA)
)

# Compute English proficiency categories
english_proficient_scores <- calc_english_proficient(survey_df)
head(english_proficient_scores)

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