Re: [R] gamma distribution

From: Christoph Buser <buser_at_stat.math.ethz.ch>
Date: Thu 28 Jul 2005 - 18:27:01 EST

Hi

Again to come back on the question why you don't get identical p.values for the untransformed and the transformed data.

I ran your script below and I get always 2 identical test per loop. In your text you are talking about the first 1000 values for the untransformed and the next 1000 values for the transformed.

But did you consider that in each loop there is a test for the untransformed and the transformed, so the tests are printed alternating.
This might be a reason why you did not get equal results.

Hope this helps,

Christoph



Christoph Buser <buser@stat.math.ethz.ch> Seminar fuer Statistik, LEO C13
ETH (Federal Inst. Technology)	8092 Zurich	 SWITZERLAND
phone: x-41-44-632-4673		fax: 632-1228

http://stat.ethz.ch/~buser/

pantd@unlv.nevada.edu writes:
> Hi R Users
>
>
> This is a code I wrote and just want to confirm if the first 1000 values are raw
> gamma (z) and the next 1000 values are transformed gamma (k) or not. As I get
> 2000 rows once I import into excel, the p - values beyond 1000 dont look that
> good, they are very high.
>
>
> --
> sink("a1.txt");
>
> for (i in 1:1000)
> {
> x<-rgamma(10, 2.5, scale = 10)
> y<-rgamma(10, 2.5, scale = 10)
> z<-wilcox.test(x, y, var.equal = FALSE)
> print(z)
> x1<-log(x)
> y1<-log(y)
> k<-wilcox.test(x1, y1, var.equal = FALSE)
> print(k)
> }
>
> ---
> any suggestions are welcome
>
> thanks
>
> -devarshi
>
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Jul 28 18:30:56 2005

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