Message-ID: <XFMail.090513164609.Ted.Harding@manchester.ac.uk>
Date: 2009-05-13T15:46:09Z
From: (Ted Harding)
Subject: Problems with randomly generating samples
In-Reply-To: <COL113-W67658B49339B079E664364C7610@phx.gbl>
On 13-May-09 15:18:05, Debbie Zhang wrote:
> Dear R users,
> Can anyone please tell me how to generate a large number of samples in
> R, given certain distribution and size.
> For example, if I want to generate 1000 samples of size n=100, with a
> N(0,1) distribution, how should I proceed?
> (Since I dont want to do "rnorm(100,0,1)" in R for 1000 times)
>
> Thanks for help
> Debbie
One possibility is
nsamples <- 1000
sampsize <- 100
Samples <- matrix(rnorm(nsamples*sampsize,0,1),nrow=nsamples)
Then each row of the matrix Samples will be a sample of size 'sampsize',
the i-th can be accessed as Samples[i,], and there are 'nsamples' rows
to choose from.
Ted.
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Date: 13-May-09 Time: 16:46:05
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