Hi everybody, I have a little problem in my R-code which seems be easy to solve, but I wasn't able to find the solution by myself for the moment.
Here's an example of the form of my data: data <- data.frame(col1=c("a","a","b","b"),col2=c(1,1,2,2),col3=c(NA,"ST001","ST002",NA)) I would like to remove duplicated data based on the first two columns (col1,col2), but in both cases here, I would like to remove the duplicated row which is equal to NA in col3. Here's the data.frame I would like to obtain: data2 <- data.frame(col1=c("a","b"),col2=c(1,2),col3=c("ST001","ST002")) I've been trying to mix duplicated() with is.na() but it doesn't work yet. Can someone tell me the best and easiest way to do this? Thanks a lot! -- View this message in context: http://r.789695.n4.nabble.com/remove-duplicated-row-according-to-NA-condition-tp4691362.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.