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.plangeo@gmail.com
On Tue, Nov 1, 2011 at 8:58 PM, shahab <shahab.mokari@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
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Atenciosamente,
Raphael Saldanha
saldanha.plangeo@gmail.com
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