Yes you are missing something -- the underlying ideas of post hoc
tests. This is a statistics issue, not an R issue, and so off topic
here. Try posting on a statistics forum like stats.stackexchange.com
instead.
Cheers,
Bert
Bert Gunter
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
-- Clifford Stoll
On Tue, Jul 21, 2015 at 9:28 AM, Raquel Mendes <raquelgmendes at
gmail.com> wrote:> Hi all,
>
> I performed a Kruskal-Wallis test on 4 groups, 13 variables, using
> kruskal.test. I then applied a pos-hoc on the variables significant at
> p<0.05, using kruskalmc. The problem is that two of the significant
> variables on the kruskal-wallis test (with p=0.03276 and p=0.03537) didn?t
> showed significant diferences between any groups in the pos hoc test.
>
> I'm fairly new to R and not exactly a statistic genius, so I don?t know
if
> I am doing something wrong or just misinterpreting the results.
>
> I am missing something here? Is there some p adjustment in these tests that
> I don?t now about?
>
> Thank you,
>
> Raquel Mendes
>
> [[alternative HTML version deleted]]
>
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