Hi Shahab,

This test shows that there is some positive statistical correlation, BUT
the p-value of the test - this is, the level of significance - shows that
the correlation is not statistically significant at 95% confidence level.
So, the correlation may be equal to zero.

To understand this concepts in a good way, you need to be secure about
variance and hypothesis test.

I can help you more if you need. Send me a direct mail (this list is for
doubts about R, not conceptual statistics). I will be happy to help you
with Statistics.

My e-mail: saldanha.plan...@gmail.com

On Tue, Nov 1, 2011 at 8:58 PM, shahab <shahab.mok...@gmail.com> wrote:

> Hi,
>
> I am not really familiar with Correlation foundations, although I read
> a lot. So maybe if someone kindly help me to interpret the following
> results.
> I had the following R commands:
>
> correlation <-cor( vector_CitationProximity , vector_Impact, method =
> "spearman", use="na.or.complete")
>  cor_test<-cor.test(vector_CitationProximity, vector_Impact,
> method="spearman")
>
> and the results are:
> "correlation"
> Correlation =  0.04715686
>
> "cor_test"
> Spearman's rank correlation rho
>
> data:  vector_CitationProximity and vector_Impact
> S = 5581032104, p-value = 0.008736
> alternative hypothesis: true rho is not equal to 0
> sample estimates:
>       rho
> 0.04582115
>
>
> So apparently, there is positive correlation between two given
> variables since Correlation =  0.04715686  > 0
> However I couldn't interpret the significance ?' what does "rho" say?
> Is there any simple sample that I can read and try to understand? I am
> do confused in understanding how significance can be interpreted.
>
> Thanks,
>
> /Shahab
>
> ______________________________________________
> R-help@r-project.org mailing list
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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.
>



-- 
Atenciosamente,

Raphael Saldanha
saldanha.plan...@gmail.com

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