Personally, I prefer the recode() in package of car. Ronggui
2009/6/4 Philipp Pagel <p.pa...@wzw.tum.de>: >> 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. > -- HUANG Ronggui, Wincent PhD Candidate Dept of Public and Social Administration City University of Hong Kong Home page: http://asrr.r-forge.r-project.org/rghuang.html ______________________________________________ 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.