Add make_yes_no() and make_yes_no_unknown() functions

[wdefreitas]

This function in combination with the below dplyr step will find all variables with a yes or checked answer and convert them into relevelled factors with only two or three levels, depending on make_yes_no() or make_yes_no_unknown() functions.

make_yes_no <- function(x) {
  if(is.factor(x)){
  factor(case_when(
    str_detect(x, fixed("yes", ignore_case = TRUE)) == TRUE ~ "Yes",
    str_detect(x, fixed("checked", ignore_case = TRUE)) == TRUE ~ "Yes",
    TRUE ~ "No or Unknown"
  )
  )} else{
    x
  }
}

make_yes_no_unknown <- function(x) {
  if(is.factor(x)){
  factor(case_when(
    str_detect(x, fixed("yes", ignore_case = TRUE)) == TRUE ~ "Yes",
    str_detect(x, fixed("checked", ignore_case = TRUE)) == TRUE ~ "Yes",
    str_detect(x, fixed("no", ignore_case = TRUE)) == TRUE ~ "No",
    str_detect(x, fixed("unchecked", ignore_case = TRUE)) == TRUE ~ "No",
    TRUE ~ "Unknown"
  )
  )} else{
    x
  }
}

df |>
select(record_id, ... , where(~ any(grepl('Yes|Checked', .)))) |> 
  mutate(across(.cols=everything(), make_yes_no_unknown)) 

[RaymondBalise]

fixed( ) conflicts between stringr and recipies. The code below is more bullet proof. It makes sure that strings start with yes or start with checked.

make_yes_no <- function(x) {
  if(is.factor(x) | is.character(x)){
  factor(case_when(
      str_detect(x, regex("^yes", ignore_case = TRUE)) == TRUE ~ "Yes",
      str_detect(x, regex("^checked", ignore_case = TRUE)) == TRUE ~ "Yes",
    TRUE ~ "No or Unknown"
  )
  )} else{
    x
  }
}

[RaymondBalise]

throw an error if values are yes/no/checked/unchecked