Message-ID: <B37C0A15B8FB3C468B5BC7EBC7DA14CC63571DFFD9@LP-EXMBVS10.CO.IHC.COM>
Date: 2011-11-11T16:46:55Z
From: Greg Snow
Subject: multivariate random variable
In-Reply-To: <1320146518.55127.YahooMailNeo@web120302.mail.ne1.yahoo.com>
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-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Anera Salucci
Sent: Tuesday, November 01, 2011 5:22 AM
To: r-help at 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]]