On Dec 18, 2012, at 9:07 AM, Kairos2012 <lucie.salwic...@zooplus.de> wrote:
> Hi, > > help is very much appreciated. Thanks in advance!!! > > rgamma(...) > As far as I know with this function (code) one can randomly sample 100 > numbers simultanously. > > Question is: is it possible to sample 100 random numbers e.g. from 100 > different gamma distributions using only one command line (or: using only > one function)? > > One idea how this could look like: > rgamma(1:100, shape=c(s1,s2,...,s100), rate=c(r1,r2,...,r100)) So close: change 1:100 to simply 100 MW > > What I do not know: is it correct to assume that effectively only ONE random > number (with the respective paramateres s1<>s2<>...<>s100 und > r1<>r2<>...<>r100) has been drawn from 1 gamma distribution (out of 100 > various gamma distributions) ? > > Thanks again for any thoughts and advice! > Merry Christmas! > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/random-sampling-vector-from-any-dsitribution-tp4653410.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
