On Mon, 23 Mar 2009, pfc_ivan wrote:
I tried using the for (i..) to make 1000 differents sets of numbers, but then
I dont know how to get the mean value of all of them... because I dont even
think 1000 different sets of numbers were made, because when i print it it
always shows me the same values, basically I dont know how to replicate the
funcion many times.
A useful approach for this sort of simulation problem (though not the most
efficient approach for this particular example) is to write a function that
does one simulation
one.sim<-function(mu, sigma, n){
## generate data
## compute the z-statistic
return(zn)
}
Then you can run simulations using replicate()
lots.of.zs <- replicate(1000, one.sim(mu=1,sigma=2, n=10))
-thomas
stephen sefick wrote:
homework?
On Mon, Mar 23, 2009 at 1:30 PM, pfc_ivan <pfc_i...@hotmail.com> wrote:
Hello guys, I am stuck here:
How do I make 1000 samples of n = 10 observations from an Exponential
distribution and then compute the mean for all those 1000 samples?
Basically I need to prove the Central Limit theorem, which states:
http://www.nabble.com/file/p22664113/d175f06cbf200bd52a2c27a2e56dc594.png
Where the Sn is sum of random variables, n we have from the question, mu
is
mean and (sigma)^2 is variance.
I am having trouble setting up the function to do this.
Any help apreciated!
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--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
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annoying little problems of being mammals.
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--
View this message in context:
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Sent from the R help mailing list archive at Nabble.com.
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.edu University of Washington, Seattle
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