Update the Reject column based on the approve column

Usage

create_reject_col(df, keep, fail)

Arguments

df: the batch data frame provided from the create_approve_col() function
keep: The keep character that gets returned from the discard_list function
fail: character vector of participants that failed the attention check

Value

a data frame with the reject column that has been updated" it will inform that they either failed the attention check or that the mturk code does not match. If both are not the case then participants will be comnpensated and the reponse coloum willl have an epmty string

Examples

create_reject_col(batch_data, keep, fail)
#> Error in dplyr::mutate(df, Reject = dplyr::case_when(Approve == "" & !(Answer.surveycode %in%     keep) ~ "MTurk code does not match.", Approve == "" & Answer.surveycode %in%     fail ~ "Failed the attention check.", TRUE ~ "")): object 'batch_data' not found