[R] Problems with randomly generating samples
Dear R users, Can anyone please tell me how to generate a large number of samples in R, given certain distribution and size. For example, if I want to generate 1000 samples of size n=100, with a N(0,1) distribution, how should I proceed? (Since I dont want to do "rnorm(100,0,1)" in R for 1000 times) Thanks for help Debbie _ Looking to change your car this year? Find car news, reviews and more e%2Ecom%2Fcgi%2Dbin%2Fa%2Fci%5F450304%2Fet%5F2%2Fcg%5F801459%2Fpi%5F1004813%2Fai%5F859641&_t=762955845&_r=tig_OCT07&_m=EXT [[alternative HTML version deleted]] __ 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.
Re: [R] Problems with randomly generating samples
> -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Debbie Zhang > Sent: Wednesday, May 13, 2009 8:18 AM > To: r-help@r-project.org > Subject: [R] Problems with randomly generating samples > > > Dear R users, > Can anyone please tell me how to generate a large number of samples in R, > given > certain distribution and size. > For example, if I want to generate 1000 samples of size n=100, with a N(0,1) > distribution, how should I proceed? > (Since I dont want to do "rnorm(100,0,1)" in R for 1000 times) > > Thanks for help > > Debbie > > How about samples <- rnorm(1000*100,0,1) dim(samples) <- c(1000,100) Hope this is helpful, Dan Daniel J. Nordlund Washington State Department of Social and Health Services Planning, Performance, and Accountability Research and Data Analysis Division Olympia, WA 98504-5204 __ 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.
Re: [R] Problems with randomly generating samples
On 13-May-09 15:18:05, Debbie Zhang wrote: > Dear R users, > Can anyone please tell me how to generate a large number of samples in > R, given certain distribution and size. > For example, if I want to generate 1000 samples of size n=100, with a > N(0,1) distribution, how should I proceed? > (Since I dont want to do "rnorm(100,0,1)" in R for 1000 times) > > Thanks for help > Debbie One possibility is nsamples <- 1000 sampsize <- 100 Samples <- matrix(rnorm(nsamples*sampsize,0,1),nrow=nsamples) Then each row of the matrix Samples will be a sample of size 'sampsize', the i-th can be accessed as Samples[i,], and there are 'nsamples' rows to choose from. Ted. E-Mail: (Ted Harding) Fax-to-email: +44 (0)870 094 0861 Date: 13-May-09 Time: 16:46:05 -- XFMail -- __ 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.
