R help - Sep 2010 - sample from very large distribution

I don't have enough RAM for this problem, so I need a work around.  This is
what I want to do:

y<- sample(2^32, 100000, replace=FALSE)

but my machine won't let me do that.  so I now do this:

x<- seq(1,2^32, by=100)
y<- sample(x, 100000, replace=FALSE)

this works fine, but by selecting every 100th item, it introduces a
systematicity that may be problematic.

I've tried this:
x<- seq(1,2^32, by=sample(1:200, 1))

but that yields some unpredictable behavior

so, any suggestions?

Thank you kindly,

Matthew

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On Thu, 30 Sep 2010, Matthew Finkbeiner wrote:
> I don't have enough RAM for this problem, so I need a work around. 
This is
> what I want to do:
>
> y<- sample(2^32, 100000, replace=FALSE)
>
y <- trunc(runif( 100000, 1, 2^32+1))
while( any( dup.y <-duplicated(y) ) ) y[dup.y] <-
 		trunc(runif( sum(dup.y), 1, 2^32+1))

HTH,

Chuck
> but my machine won't let me do that.  so I now do this:
>
> x<- seq(1,2^32, by=100)
> y<- sample(x, 100000, replace=FALSE)
>
> this works fine, but by selecting every 100th item, it introduces a
> systematicity that may be problematic.
>
> I've tried this:
> x<- seq(1,2^32, by=sample(1:200, 1))
>
> but that yields some unpredictable behavior
>
> so, any suggestions?
>
> Thank you kindly,
>
> Matthew
>
> 	[[alternative HTML version deleted]]
>
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Charles C. Berry                            (858) 534-2098
                                             Dept of Family/Preventive Medicine
E mailto:cberry at tajo.ucsd.edu	            UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/  La Jolla, San Diego 92093-0901