Package: gendercoder

Function: recode_gender()

  1. There may be times when you would rather recode open-ended gender responses based on an existing dictionary. In this case, you can use an existing package that has a dictionary built in. In this example, we will recode gender using the gendercoder package.

To see the full dictionary used for recodes, see GenderDictionary_List.csv

Review the data (d11)

# A tibble: 7 x 2
     id gender   
  <dbl> <chr>    
1   345 mal      
2   346 male     
3   347 nonbinary
4   348 trans    
5   349 feamle   
6   350 f        
7   351 I'm a man

Recode open-response gender into standardized gender categories based on a built-in dictionary.

  • Note: In this package you can choose between a broader recoding of gender, using the argument dictionary = manylevels_en (the default) or a narrower recoding using the argument dictionary = fewlevels_en.

  • Note: You can also choose to retain any values that are not found using the argument retain_unmatched = TRUE.

  • Note: We are recoding into a new variable using dplyr::mutate() and naming the new variable a different name than the original. It keeps both the new and old versions of the variable.

d11 %>%  
  dplyr::mutate(gender_new = gendercoder::recode_gender(gender, retain_unmatched = TRUE))
# A tibble: 7 x 3
     id gender    gender_new 
  <dbl> <chr>     <chr>      
1   345 mal       man        
2   346 male      man        
3   347 nonbinary non-binary 
4   348 trans     transgender
5   349 feamle    woman      
6   350 f         woman      
7   351 I'm a man I'm a man

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