David.
>
> Thanks again,
> Stephen
> On 25 Nov 2012, at 20:41, David Winsemius [via R] wrote:
>
>>
>> On Nov 25, 2012, at 4:55 AM, sm2284 wrote:
>>
>>> Dear R-ers,
>>>
>>> I am currently running some Wilcoxon tests in R-64.
>>>
>>> How do I find the degrees of freedom in the output I am receiving?
>>>
>>>> wilcox.test(good$TRUE, good$x4a, paired=FALSE)
>>>
>>> Wilcoxon rank sum test with continuity correction
>>>
>>> data: good$TRUE and good$x4a
>>> W = 2455, p-value < 2.2e-16
>>> alternative hypothesis: true location shift is not equal to 0
>>>
>> When using wilcox.test with two samples, the function passes some
>> version of the Rank-Sum statistic W to the pwilcox function followed
>> by the lengths of the two vectors. So I suppose you could say the
>> sample sizes are the "degrees of freedom". Reasoning informally I
>> would think the smaller of those lengths would be the most important
>> in determining stability of the inference.
>>
>> BTW, methinks it a very questionable practice to name a column
>> 'TRUE'.
>>
>> --
>> David Winsemius, MD
>> Alameda, CA, USA
>>
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>>
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>> NAML
>
> Stephen James McKelvie
> sjmckelvie at gmail.com
>
>
>
>
>
>
>
> -----
> University of St Andrews,
> sm2284 at st-andrews.ac.uk
> --
> View this message in context: http://r.789695.n4.nabble.com/Finding-the-Degrees-of-Freedom-in-a-Wilcoxon-Test-tp4650724p4650783.html
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> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Alameda, CA, USA