Try something like: out <- matrix( rnorm( 1000 * 100, rep(vector_of_means, 1000), rep(vector_of_sds, 1000) ), nrow=100 )
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of J.K. Bruxer > Sent: Tuesday, September 14, 2010 1:15 PM > To: r-help@r-project.org > Subject: [R] rnorm using vector of means and SDs > > Hi, > > I want to sample from a distribution (say a normal distribution, for > example) using vectors of the different parameters (i.e. the mean and > standard deviation). That is, I have a list/vector of say 100 means > and another of the corresponding 100 SD's, and I want a matrix of 100 > rows (one for each mean and SD pair) each having 1000 random samples. > > Something like: > > sample_matrix = rnorm(n=1000, mean=vector_of_100_means, > sd=vector_of_100_corresponding_SDs) > > Is this possible? Thanks for any help in advance. > > ______________________________________________ > 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. ______________________________________________ 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.
