Create a custom dictionary from fuzzy matches

gender_create_dictionary suggests dictionary entries for gender responses that are not already matched exactly. The returned named character vector is intended to be reviewed before it is combined with a built-in dictionary and passed to recode_gender().

Usage

gender_create_dictionary(
  gender,
  dictionary = gendercoder::manylevels_en,
  max_distance = 1
)

Arguments

gender

a character vector of gender responses for recoding

dictionary

a character vector whose names are known gender responses and whose values are replacement values

max_distance

maximum edit distance allowed for a suggested match

Value

a named character vector of suggested replacement values

Examples

suggested <- gender_create_dictionary(
  c("maile", "unknown"),
  dictionary = manylevels_en,
  max_distance = 1
)
suggested
#> maile 
#> "man"