Your question is a bit too general to give a useful answer. One possible answer to your question is:
> mrv <- matrix( runif(1000), ncol=10 ) Which generates multivariate random observations, but is unlikely to be what you are really trying to accomplish. There are many tools for generating multivariate random data including Metropolis-Hastigns, Gibbs sampling, rejection sampling, conditional generation, copulas, and many others, which one will be best (or which combination will be best) depends on what you are actually trying to accomplish. -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Anera Salucci Sent: Tuesday, November 01, 2011 5:22 AM To: r-help@r-project.org Subject: [R] multivariate random variable Dear All, How can I generate multivariate random variable (not multivariate normal ) I am in urgent [[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.
