On Mon, 2 Aug 2004 17:50:44 -0500, "Bickel, David"
<[EMAIL PROTECTED]> wrote:
>After reading the help page on set.seed, I am unsure about how to solve the following
>problem. I need to call function f a thousand times. The list of values returned by
>f, should be as random as possible. f calls g twice:
> f <- function(){g1 <- g(1); g2 <- g(2); c(g1; g2)}
>The function g in turn calls sample and returns a number, but also depends on its
>argument, so, starting from the same seed, g(1) returns a different number than g(2).
>I need each call to g to start with the same random number seed, so that the values
>returned by f would not be affected by redefining it this way:
> f <- function(){g2 <- g(2); g1 <- g(1); c(g1; g2)}
This is a problem that's like what people doing simulations on
parallel computers worry about. You might want to look at the sprng
package. (I haven't used it, so I'm not sure it does what you need).
Duncan Murdoch
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