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Given a dataframe of survey responses, look for standard SurveyMonkey demographic questions and code/recode them into new variables that are more banner-, plot-, and analysis-friendly. Use code_std_demo_vars() to perform all standard demographic recodes, or select the specific function you need. Run std_demo_vars() to return the full index of SurveyMonkey's standard demographic variables.

Usage

code_age_vars(data, append = TRUE, verbose = TRUE)

Arguments

data

Input data frame of survey responses.

append

If TRUE, append to existing dataframe otherwise return new variables in a fresh dataframe.

verbose

Print helpful messages.

Value

Survey data frame with new (or updated) columns corresponding to (if discoverable) respondents' age category and generation:

  • age: integer age in years

  • age3: 3-point age category

  • age6: 6-point age category

  • age_gen: 4-point age category corresponding to generation (according to Pew Research Center's now-retired classification)