Iurie Malai wrote:
Hi,
I have a data set:
Dataset
X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17
1 user1 m 22 19 28 24 12 18 9 7 4 5 4 7 5 7 9
2 user2 f 25 19 23 18 18 15 6 8 6 6 7 10 7 7 7
3 user3 f 28 21 24 18 15 12 10 6 7 9 5 10 5 9 5
4 user4 f 26 19 26 21 12 18 6 6 5 1 3 8 6 5 6
5 user5 m 21 22 26 18 9 6 4 6 1 7 2 4 4 6 4
6 user6 m 24 8 25 12 18 12 7 8 4 1 4 6 7 5 6
...............................................................
71 user71 m 18 4 10 6 3 6 9 5 10 8 4 5 6 5 5
I can apply the Wilcoxon test on each column one by one, but how to do this
on the hole table at once?
Whole table? Each variable against every other variable? Or something
else? Do you think that makes sense?
Anyway, you can calculate all combinations of 2 unique columns and
iterate over them.
Uwe Ligges
wilcox.test(X3 ~ X2, alternative="two.sided", data=Dataset)
Wilcoxon rank sum test with continuity correction
data: X3 by X2
W = 439, p-value = 0.1291
alternative hypothesis: true location shift is not equal to 0
I researched on this, but I can't find a solution.
I would really appreciate any help.
P.S. Excuse my lack of terminology :).
Iurie Malai
Moldova Pedagogical State University
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
