R help - Dec 2012 - random sampling vector from any dsitribution

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))

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!




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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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