Thank You Profs. Dalgaard and Barradas for the code, both codes worked
perfectly for the data and I am going to use it in my big data set.
Thanks once again.
On Thu, Feb 6, 2020 at 2:02 AM peter dalgaard wrote:
> There is also
>
> > with(daT, tapply(as.character(ObsDate), list(id, ObsSite),
> f
Full schedule is available on developer.r-project.org.
(The date is chosen to celebrate the 5th anniversary of R 1.0.0. Some
irregularity may occur on the release day, since this happens to be a Saturday
and the release manager is speaking at the CelebRation2020 event...)
--
Peter Dalgaard, P
Oh -- I see you did. Sorry. But cross-posting is discouraged.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Feb 5, 2020 at 10:38 PM nevil amos wrote:
Shouldn't you be posting this on the r-sig-geo list, not here?
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Feb 5, 2020 at 10:38 PM nevil amos wrote:
Dear Gabriela
Apologies if you have already tried this but:
1 - you can see the code which it uses by typing pairwise.wilcox.test at
the command line.
2 - to find you more about the method of adjustment you need to follow
the documentation for p.adjust
3 - you may also need to look into wi
Dear Sir or Madam
My name is Gabriela Hoff and I and an R user. I am facing problems in
finding detailed information about pairwise Wilcoxon Rank Sum Tests
(pairwise.wilcox.test). I would like to understand better the way this test
is performed and the calculation of p-value, especially the proced
There is also
> with(daT, tapply(as.character(ObsDate), list(id, ObsSite),
> function(x)format(list(x
site1site4 site5 site7
id1 NA NA NA "06/13/13"
id2 NA NA NA "07/03/1
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