On Mon, Nov 3, 2008 at 9:02 AM, Jorge Ivan Velez <[EMAIL PROTECTED]> wrote: > Dear zerftezen, > Try this: > > # Data > set.seed(123) > X=as.data.frame(matrix(rnorm(100),ncol=10)) > > # Percentiles 10 and 90 using apply > t(apply(X,2,quantile,probs=c(0.1,0.9))) > > # The same using sapply > t(sapply(X,function(x) quantile(x,probs=c(0.1,0.9))))
An alternative is the colwise function in the plyr package: library(plyr) colwise(quantile)(X, probs = c(0.1,0.9)) colwise(quantile)(mtcars, probs = c(0.1,0.9)) It always returns a data frame. You can also use catcolwise and numcolwise which only operate on categorical and numeric columns respectively. Hadley -- http://had.co.nz/ ______________________________________________ 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.
