This is my first post to the mailing list and I guess it's a pretty stupid
question but I can't figure it out. I hope this is the right forum for these
kind of questions.

Before I started using R I was using STATA to run a Wilcoxon signed-rank
test on two variables. See data below:

https://spreadsheets.google.com/pub?key=0ApodAA2GAEP_dDZkdzZHSFBqX1JHOWJBX1dMQUZCVkE&hl=en&output=html<%20%20https://spreadsheets.google.com/pub?key=0ApodAA2GAEP_dDZkdzZHSFBqX1JHOWJBX1dMQUZCVkE&hl=en&output=html>

STATA Output:
. signrank x=y

Wilcoxon signed-rank test

       sign |      obs   sum ranks    expected
-------------+---------------------------------
   positive |       41        3101      2330.5
   negative |       18        1560      2330.5
       zero |       49        1225        1225
-------------+---------------------------------
        all |      108        5886        5886

unadjusted variance   106438.50
adjustment for ties     -282.38
adjustment for zeros  -10106.25
                    ----------
adjusted variance      96049.88

Ho: transfer_2_a = transfer_2_b
            z =   2.486
   Prob > |z| =   *0.0129*

When running a Wilcoxon signed-rank test


> wilcox.test(datablatt$x, datablatt$y)

Wilcoxon rank sum test with continuity correction

data:  datablatt$x and datablatt$y
W = 7059.5, p-value = *0.09197*
alternative hypothesis: true location shift is not equal to 0

As you can see the p Values are different (one with H0 rejection and the
other one not). I tested whether it could be that the STATA one isn't paired
but this doesn't seem to be the problem.

I'm dumbfound what could lead to such a difference. I couldn't find any
seetings I have missed but I somehow I guess I'm using the function in the
wrong way...
Any ideas?
Thanks a lot in advance!

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