Hello,
I have these open-ended responses to the question: "What is your gender identity?"
Can anyone suggest a neat way to recode these responses to M, F, Non_binary?
Thank you!
Riccardo
Hello,
I have these open-ended responses to the question: "What is your gender identity?"
Can anyone suggest a neat way to recode these responses to M, F, Non_binary?
Thank you!
Riccardo
Use case_when
from tidyverse. Something like
df <- df |> mutate(new_id = case_when(gender_id %in% c("Male", "male", "he") ~"M",
gender_id %in% c("Female", "cis female","F") ~ "F"),
# etc)
You will need to be sure you have a list of all offered responses.
Thank you, it works!
One issue is that this changes the values as I need, BUT assigns NA to anything else that is not specified. How can I keep the other values that I don't want to change?
Make a last category in the case_when
TRUE ~ gender_id
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