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
Michael. 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 <dwinsem...@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@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.
