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 <[EMAIL PROTECTED]>
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/
--------------------------------------------------------------


[EMAIL PROTECTED] 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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 > https://stat.ethz.ch/mailman/listinfo/r-help
 > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html

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