R. Michael Weylandt <email@example.com>
michael.weylandt at gmail.com
Tue Nov 15 20:22:10 CET 2011
I'm not sure your request completely makes sense: marginal means and variances are not sufficient to give the joint distribution; even if you can be assured it is bivariate normal, you still need a correlation. Just a heads up
PS - next time would you please use a slightly more nuanced subject line for the archive? Thanks.
On Nov 15, 2011, at 1:31 PM, David Winsemius <dwinsemius at comcast.net> wrote:
> On Nov 15, 2011, at 11:21 AM, Gyanendra Pokharel wrote:
>> Hi all,
>> I have the mean vector mu<- c(0,0) and variance sigma <- c(10,10), now how
>> to sample from the bivariate normal density in R?
>> Can some one suggest me?
>> I did not fine the function "mvdnorm" in R.
> But when you typed ?mvdnorm R should have returned message to type ??mvdnorm. I get a tone of on target "hits" when I do that.
> (... and I think you may not get as many hits because I have a bunch of package installed but there was a hit from MASS which I think is installed by default ....)
> David Winsemius, MD
> West Hartford, CT
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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