Christian Schulz <[EMAIL PROTECTED]> writes: > split <- sample(2,nrow(dataframe),replace=T,prob=c(0.04,0.96)) > > dataframe[split==1,] # 200 > dataframe[split==2,] # 4800 > > regards, christian > > > ?sample should tell you what you need to know.
It does, but the above is not how. To get exactly 200 samples, use sel <- sample(200, nrow(dataframe)) dataframe[sel,] > > On 26/11/06, Alexander Geisler <[EMAIL PROTECTED]> wrote: > > > >> Hello! > >> > >> I have a data set with 8 columns and in about 5000 rows. What I want to > >> do is to generate samples of this data set. > >> > >> Samples of a special size, as example 200. > >> > >> What is the easiest way to do this? No special things are needed, only > >> the random selection of 200 rows of the data set. > >> > >> Thanks > >> Alex > >> > >> -- > >> Alexander Geisler * Kaltenbach 151 * A-6272 Kaltenbach > >> email: [EMAIL PROTECTED] | [EMAIL PROTECTED] > >> phone: +43 650 / 811 61 90 | skpye: al1405ex > >> > >> ______________________________________________ > >> [email protected] 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. > >> > >> > > > > > > > > ______________________________________________ > [email protected] 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. > -- O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [email protected] 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.
