Hi, this is probably quite simple but I can't seem to do it correctly. I have a data frame of counts of infections in different ages; something like: count=c(1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 7, 8, 8, 9, 9, 10, 11, 15, 17, 17, 17, 17, 19, 19, 19, 19, 20, 20, 20, 21, 21, 21, 22, 22, 22, 22, 23, 23, 23, 23, 23, 24, 24, 25, 27, 31, 33 ) age=c(3, 8, 9, 7, 56, 58, 10, 13, 53, 55, 11, 12, 14, 51, 54, 15, 50, 52, 18, 49, 48, 47, 20, 16, 17, 25, 45, 29, 33, 36, 41, 35, 43, 46, 21, 27, 31, 28, 32, 38, 42, 22, 34, 37, 40, 44, 24, 39, 30, 26, 19, 23)
frame=data.frame(count, age) But the data are too grainy and I would like to bin them in age groups (that I chose) to be something like: age<10 ...... count=5 10=<age <20 ..... count=8 etc... What is the easiest and quickest way to do this? Thanks -- View this message in context: http://www.nabble.com/Binning-groups-tp17399482p17399482.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.
