You can use quantile and cut: > x <- runif(1000) > x.cut <- cut(x, c(-Inf, quantile(x, prob=c(.1, .9)), Inf), > labels=c('lo','mid','hi')) > table(x.cut) x.cut lo mid hi 100 800 100 >
On Mon, Dec 6, 2010 at 12:53 PM, Marty_H <churc...@alpenjodel.de> wrote: > > I have got a matrix with 100 values. > Is there a easy way to cut the upper 10% (every value which is above 90%) > and the lower 10% of my matrix-values away and create a new matrix with all > the rest. > > Thx for your help > > Marty > -- > View this message in context: > http://r.789695.n4.nabble.com/Cutting-Matrix-tp3074970p3074970.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > -- Jim Holtman Data Munger Guru What is the problem that you are trying to solve? ______________________________________________ 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.