great! the "cut" function was exactly what i needed. thank you both!
> -----Original Message----- > From: Dimitris Rizopoulos [mailto:d.rizopou...@erasmusmc.nl] > Sent: Monday, April 06, 2009 4:01 PM > To: Dan Dube > Cc: r-help@r-project.org > Subject: Re: [R] "bucketing" observations > > try this: > > dat <- data.frame(vals = rnorm(1000)) > breaks <- quantile(dat$vals, seq(0, 1, .1)) dat$bucket <- > cut(dat$vals, breaks, labels = FALSE, include.lowest = TRUE) > > > I hope it helps. > > Best, > Dimitris > > > Dan Dube wrote: > > is there a better way to bucket observations into > more-or-less evenly > > sized buckets than this? it seems like this must be a > common operation: > > > > dt = data.frame(points=rnorm(1000),bucket=NA) > > > > breaks = quantile(dt$points,seq(0:1,.1)) for (i in > 2:length(breaks)) { > > if (i == 2) { > > ind = which(dt$points >= breaks[i-1] & dt$points <= > > breaks[i]) > > } else { > > ind = which(dt$points > breaks[i-1] & dt$points <= > > breaks[i]) > > } > > dt$bucket[ind] = i-1 > > } > > > > thanks! > > > > ______________________________________________ > > 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. > > > > -- > Dimitris Rizopoulos > Assistant Professor > Department of Biostatistics > Erasmus University Medical Center > > Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands > Tel: +31/(0)10/7043478 > Fax: +31/(0)10/7043014 > ______________________________________________ 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.
