+1
John Kane
Kingston ON Canada
> -Original Message-
> From: j...@bitwrit.com.au
> Sent: Sat, 05 Oct 2013 17:16:35 +1000
> To: r-help@r-project.org
> Subject: Re: [R] Interpreting the result of a Wilcoxon (Mann-Whitney U)
> test
>
> On 10/04/2013 1
On 10/04/2013 11:34 PM, S Ellison wrote:
...
>> Got it! I agree it should had been more obvious to me... :)
I wouldn't feel too bad about that. I've spent most of the last 25 years
discovering the hard way that statistics is very much a field where things are
'obvious' only _after_ you know t
> -Original Message-
> Got it! I agree it should had been more obvious to me... :)
I wouldn't feel too bad about that. I've spent most of the last 25 years
discovering the hard way that statistics is very much a field where things are
'obvious' only _after_ you know the answer...
S
> I'm having some trouble interpreting the results of a Wilcoxon
> (Mann-Whitney U) test. Hope you can help.
Two-tailed and one tailed tests generally give different p-values, with the
two-tailed p-value twice (one of) the one-tailed values for rather obvious
reasons. You need to sort out whic
Hi Petr,
On Thu, Oct 3, 2013 at 8:01 AM, PIKAL Petr wrote:
>> Well, I guess I'm asking all of the three... :) Not with the intent to
>> choose which one fits, but because I was experimenting and making sure
>> I really understand how I could use R's implementation of the Wilcoxon
>> test. But I'm
Hi
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Filipe Correia
> Sent: Wednesday, October 02, 2013 10:32 PM
> To: Charles Determan Jr
> Cc: r-help@r-project.org
> Subject: Re: [R] Interpreting the
On Oct 2, 2013, at 1:33 PM, Filipe Correia wrote:
> David,
>
> On Wed, Oct 2, 2013 at 6:56 PM, David Winsemius
> wrote:
> This is not an appropriate question for R-help. You should ask your
> statistics instructor or pose the question in a venue where explanations of
> purely statistical pro
David,
On Wed, Oct 2, 2013 at 6:56 PM, David Winsemius wrote:
>
> This is not an appropriate question for R-help. You should ask your
> statistics instructor or pose the question in a venue where explanations of
> purely statistical problems are on-topic. (Just because you used R to get
> results
Hi,
Thank you for your answer Charles.
On Wed, Oct 2, 2013 at 6:50 PM, Charles Determan Jr wrote:
> When you chose a different alternative argument you are asking a different
> null hypothesis.
I was considering the null hypothesis was expressed through the "mu"
argument. I think I got this ide
On Oct 2, 2013, at 8:33 AM, Filipe Correia wrote:
> Hello everyone,
>
> I'm having some trouble interpreting the results of a Wilcoxon
> (Mann-Whitney U) test. Hope you can help.
>
> This is the R script that I am running:
>
> a <- c(1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 2, 1, 5, 1, 1, 1, 3, 1,
Filipe,
When you chose a different alternative argument you are asking a different
null hypothesis. You are looking at a two-tailed, lesser than, and greater
than hypotheses. Which one you chose is dependent upon your initial
question. Are you asking generically if your two populations (a and b
Hello everyone,
I'm having some trouble interpreting the results of a Wilcoxon
(Mann-Whitney U) test. Hope you can help.
This is the R script that I am running:
a <- c(1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 2, 1, 5, 1, 1, 1, 3, 1, 1,
1, 1, 1, 1, 3, 1, 1)
b <- c(1, 2, 1, 1, 2, 3, 2, 2, 1, 2, 1, 1, 1
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