Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Ted Harding
> Sent: Tuesday, January 12, 2010 7:34 AM
> To: r-help at r-project.org
> Cc: ehcpieterse
> Subject: Re: [R] Conditional Sampling
>
> On 12-Jan-10 14:00:24, ehcpieterse wrote:
> > Thanks Ted, your solution does make perfect sense.
> >
> > The only question I still have is that I would like to sample
> > the remaining 5 observations after I have randomly selected the
> > first 10. Given the initial 10, I would like to sample the
> > following 5 say 1,000 times to get a simulated conditional sample,
> > if that makes any sense.
> >
> > I want to build this into an iterative process to see how the
> > first sample affects the resulting samples. Even though all the
> > observations have the same probabilty to get sampled, they each
> > have a different expected value.
> > --
>
> OK, if I now understand you, you are interested in the properties
> of the remaining (90) observations, given that they do not include
> any of the (10) cases sampled in the first round.
>
> In that case, I think you should adopt the sample.int() approach
> I also suggested:
>
> X <- (1:100) ## (or any other 100 values)
> n <- sample.int(100,10,replace=FALSE) ## returns subset of (1:100)
> x <- X[n]
> Y <- X[-n] ## The set remaining after the first 10 were taken
> ## Now you can sample repeatedly from Y until your eyes fall out.
> ## So build up a matrix of (say) 1000 samples from Y:
> M <- sample(Y,5,replace=FALSE)
> for(i in (2:1000)){ M <- rbind(M,sample(Y,5,replace=FALSE)) }
>
> The repeated samples M of 5 from Y of course imply replacing each
> sample of 5 back in Y, so they are available at each turn. You can
> not, of course, sample 1000*5 from 100 without replacement! (Each
> sample of 5 is obtained without replacement, however).
>
> I hope this is getting close!
> Ted.
>
> --------------------------------------------------------------------
> E-Mail: (Ted Harding) <Ted.Harding at manchester.ac.uk>
> Fax-to-email: +44 (0)870 094 0861
> Date: 12-Jan-10 Time: 14:34:13
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