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
How to interpret Spearman Correlation
5 messages · shahab, Raphael Saldanha, David Winsemius +1 more
An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20111101/fb51c03c/attachment.pl>
Shahab; You would be well advised not to seek private tutoring from someone on the Internet who tells you that a p-value of 0.008736 is "not significant".
On Nov 1, 2011, at 8:09 PM, Raphael Saldanha <saldanha.plangeo at gmail.com> wrote:
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 at gmail.com On Tue, Nov 1, 2011 at 8:58 PM, shahab <shahab.mokari at 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 at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help 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.plangeo at gmail.com [[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20111102/3e91c159/attachment.pl>
What David was getting at is that you interpreted the P-value as one minus the P-value, not a safe practice. There is also some question about whether it would have been better to recommend a good book or course. Frank
Raphael Saldanha wrote:
Hi David, This is not private tutoring, just someone trying to help, and I'm sorry for my distraction. On Tue, Nov 1, 2011 at 10:34 PM, David Winsemius <dwinsemius@>wrote:
Shahab; You would be well advised not to seek private tutoring from someone on the Internet who tells you that a p-value of 0.008736 is "not significant". On Nov 1, 2011, at 8:09 PM, Raphael Saldanha <saldanha.plangeo@> wrote:
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@ On Tue, Nov 1, 2011 at 8:58 PM, shahab <shahab.mokari@> 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@ mailing list https://stat.ethz.ch/mailman/listinfo/r-help 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.plangeo@ [[alternative HTML version deleted]]
______________________________________________ R-help@ mailing list https://stat.ethz.ch/mailman/listinfo/r-help 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.plangeo@ [[alternative HTML version deleted]]
______________________________________________ R-help@ mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/How-to-interpret-Spearman-Correlation-tp3965809p3972797.html Sent from the R help mailing list archive at Nabble.com.