Using case_when instead of ifelse to create a new variable

[latsyrhccm]

Was wondering if anyone would be able to help me in turning an ifelse() statement into case_when(), accompanied with mutate to create a new variable.

I haven't attached a reprex as I'm unsure if it would be needed, but will add one if so.

Thanks for any help.

ifelse(adherence.test$date %in% exac.filter$exac.start & 
         adherence.test$patientid %in% exac.filter$patientid, 
         as.character(adherence.test$date), NA)

#Attempt
adherence.test <- Adherence.merge %>% 
                  mutate(exac.date = ifelse(adherence.test$date %in% 
                  exac.filter$exac.start &  adherence.test$patientid %in% 
                  exac.filter$patientid, as.character(adherence.test$date), 
                  TRUE ~ NA))

Error: Column `exac.date` must be length 1 (the group size), not 320

[mfherman]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Having a sample of your data will be very helpful in diagnosing the issue you are having. Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…