random sampling vector from any dsitribution
On Dec 18, 2012, at 9:07 AM, Kairos2012 <lucie.salwiczek at 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.
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