I have a data set of messages exchanged in an organization, I want to create another column based on case_when
the sender_department == receiver_department
, assign "intra"
while if the sender_department != receiver_department
, assign "inter"
.
I'm doing this to know the proportion of inter and intra departmental messages over the period.
I've use the code below
intra_inter_msg <- DF %>%
mutate(inter_intra = case_when(sender_department == receiver_department, ~"intra", ,
sender_department != receiver_department, ~"inter"))
and I got this error
Error in
mutate()
:
! Problem while computinginter_intra = case_when(...)
. Caused by error incase_when()
:
! Case 1 (sender_department == receiver_department
) must be a two-sided formula, not a logical
I made a little example DF to test it:
require(dplyr)
DF = data.frame (sender_department = c("econ","math","history"),receiver_department = c("econ","history","math"))
DF
intra_inter_msg <- DF %>%
mutate(inter_intra = case_when(sender_department == receiver_department ~"intra",
sender_department != receiver_department ~"inter"))
intra_inter_msg
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