calc_english_level: Calculate English Proficiency Level

In AOUSDOHtools: Analyzing AOU SDOH Survey Data

Calculate English Proficiency Level

Description

This function creates an ordinal categorical variable that describes the level of proficiency in English for participants who reported speaking a language other than English at home.

Usage

calc_english_level(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 'english_level', where 'english_level' represents the participant's self-reported proficiency in English. Participants who did not respond or provided a "PMI: Skip" will have an NA value.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = c(1, 2, 3, 4, 5),
  question_concept_id = c(40192529, 40192529, 40192529, 40192529, 40192529),
  answer = c("Very well", "Well", "Not well", "Not at all", "Skip")
)

# Compute English proficiency levels
english_level_scores <- calc_english_level(survey_df)
head(english_level_scores)

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