> I'm attempting to "group" or "bin" data together in order to analyze them as > a combined group rather than as discrete set. I'll provide a simple example > of the data for illustrative purposes. > > Patient ID | Charges | Age | Race > 1 | 100 | 0 | Black > 2 | 500 | 3 | White > 3 | 200 | 5 | Hispanic > 4 | 90 | 7 | Asian > 5 | 400 | 10 | Hispanic > 6 | 500 | 16 | Black > > I'm trying to create three age categories--"0 to 4", "5 to 11" and "12 to > 17"--and analyze their "Charges" by their "Race." How do I go abouts to > doing this?
cut() or split() are probably the functions you are looking for. cu Philipp -- Dr. Philipp Pagel Lehrstuhl für Genomorientierte Bioinformatik Technische Universität München Wissenschaftszentrum Weihenstephan 85350 Freising, Germany http://webclu.bio.wzw.tum.de/~pagel/ ______________________________________________ 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.