The goal of gendercoder is to allow simple re-coding of free-text gender responses. This is intended to permit representation of gender diversity, while managing troll-responses and the workload implications of manual coding.


This package is not on CRAN. To use this package please run the following code:


Basic use

The gendercoder package permits the efficient re-coding of free-text gender responses within a tidyverse pipeline. It contains two in-built output dictionaries, a default broad dictionary which corrects spelling and standardises terms while maintaining the diversity of responses and a narrow dictionary which contains only three gender categories, “male”, “female”, and “sex and gender diverse”.

The core function, gender_recode(), takes 3 arguments,

  • gender the vector of free-text gender,

  • dictionary the preferred dictionary, and

  • fill a logical indicating whether original values should be carried over if there is no match.

Basic usage is demonstrated below.


tibble(gender = c("male", "MALE", "mle", "I am male", "femail", "female", "enby")) %>% 
  mutate(broad_gender  = recode_gender(gender, dictionary = broad, fill = TRUE),
         narrow_gender = recode_gender(gender, dictionary = narrow, fill = FALSE)
#> 1 results not matched from the dictionary have been filled with the user inputted values
#> # A tibble: 7 x 3
#>   gender    broad_gender narrow_gender         
#>   <chr>     <chr>        <chr>                 
#> 1 male      male         male                  
#> 2 MALE      male         male                  
#> 3 mle       male         male                  
#> 4 I am male I am male    <NA>                  
#> 5 femail    female       female                
#> 6 female    female       female                
#> 7 enby      non-binary   sex and gender diverse

Contributing to this package

This package is a reflection of cultural context of the package contributors we welcome issues and pull requests to make the package more inclusive and/or suitable for a broader range of cultural contexts. We particularly welcome addition of non-English dictionaries or of other genderdiverse responses to the broad and narrow dictionaries.

Citation Information

Please cite this package as:

Jennifer Beaudry, Emily Kothe, Felix Singleton Thorn, Rhydwyn McGuire, Nicholas Tierney and Mathew Ling (2020). gendercoder: Recodes Sex/Gender Descriptions Into A Standard Set. R package version

Acknowledgement of Country

We acknowledge the Wurundjeri people of the Kulin Nation as the custodians of the land on which this package was developed and pay respects to elders past, present and future.