recode_gender

recode_gender matches uncleaned gender responses to cleaned list using an built-in or custom dictionary.

Usage

recode_gender(
  gender = gender,
  dictionary = gendercoder::manylevels_en,
  retain_unmatched = FALSE
)

Arguments

gender

a character vector of gender responses for recoding

dictionary

a list that the contains gender responses and their replacement values. A built-in dictionary manylevels_en is used by default if an alternative dictionary is not supplied.

retain_unmatched

logical indicating if gender responses that are not found in dictionary should be filled with the uncleaned values during recoding

Value

a character vector of recoded genders

Examples

df <- data.frame(
  stringsAsFactors = FALSE,
  gender = c("male", "MALE", "mle", "I am male", "femail", "female", "enby"),
  age = c(34L, 37L, 77L, 52L, 68L, 67L, 83L)
)

dplyr::mutate(df, recoded_gender = recode_gender(gender,
  dictionary = manylevels_en,
  retain_unmatched = TRUE
))
#> Some results not matched from the dictionary have been filled with the original values.
#>      gender age recoded_gender
#> 1      male  34            man
#> 2      MALE  37            man
#> 3       mle  77            man
#> 4 I am male  52      I am male
#> 5    femail  68          woman
#> 6    female  67          woman
#> 7      enby  83     non-binary