On May 16, 2014, at 2:07 PM, Tham Tran wrote:
> Dear Mr. Dalgaard,
You do realize that was a posting from 2012, right?
>
> Could you help me know the name of post-hoc multi-comparaison test mentioned
> in kruskal function of agricolae package?
There are multiple such tests mentioned on that fu
Dear Mr. Dalgaard,
Could you help me know the name of post-hoc multi-comparaison test mentioned
in kruskal function of agricolae package?
Thank you in advance.
Tham Tran
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-Comparisons-Kruskal-Wallis-Test-kruskal-agricolae-
I see.. So apparently the different functions are doing the same thing! :-)
Besides I didn't know the groups should have about the same size.
Thank you four your time Mr. Dalgaard.
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-Comparisons-Kruskal-Wallis-Test-kruskal-ag
On Aug 3, 2012, at 18:49 , David L Carlson wrote:
> Generally multiple comparisons are conducted after a test for a significant
> difference among any of the groups. For your data
>
>> kruskal.test(x[,1]~x[,2])
>
>Kruskal-Wallis rank sum test
>
> data: x[, 1] by x[, 2]
> Kruskal-Wal
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of peter dalgaard
> Sent: Friday, August 03, 2012 5:59 AM
> To: greatest.possible.newbie
> Cc: r-help@r-project.org
> Subject: Re: [R] Multiple Comparisons-Kruskal-Wallis-Test:
> kruskal{agricolae
On Aug 3, 2012, at 11:33 , greatest.possible.newbie wrote:
> Thank you for your answer.
> The p.adj argument in the kruskal()-function doesn't seem to change
> anything... Not even the "bonferroni"-method although it is described as the
> most conservative one (multiplying all p-values with the n
Thank you for your answer.
The p.adj argument in the kruskal()-function doesn't seem to change
anything... Not even the "bonferroni"-method although it is described as the
most conservative one (multiplying all p-values with the number of
comparisons). I suppose the kruskal()-function is not workin
On Aug 3, 2012, at 07:42 , greatest.possible.newbie wrote:
> I am doing multiple comparisons for data that is not normally distributed.
> For this purpose I tried both functions kruskal{agricolae} and
> kruskalmc{pgirmess}. It confuses me that these functions do not yield the
> same results altho
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