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!
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--
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
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
