On 2010-04-14 16:04, David Nemer wrote:
Hello Guys, thank you all very much for the help!
Sorry for my total lack of knowledge in R... so I did the correlation.. and
got these results:
cor(A, C, method = "spearman")
[1] 0.4922165
cor(B, C, method = "spearman")
[1] 0.1922412
cor(A, B, method = "spearman")
[1] -0.00889328
I don't know how to interpret them... so the correlation is good when it is
really close to 1 or to 0? What about negative correlation??
Your questions suggest that it's time to do some studying.
Crack open a stats book (or at least check Wikipedia). There is
no such thing as a 'good' or 'bad' correlation. Everything
depends on context. You shouldn't use a statistic if you don't
understand it.
-Peter Ehlers
Cheers,
--
David Nemer
On Sat, Apr 10, 2010 at 2:58 PM, Gabor Grothendieck<ggrothendi...@gmail.com
wrote:
Try this:
A<- c("file1.java", "file3.java", "file2.java")
B<- c("file2.java", "file4.java", "file1.java")
cor(A, B, method = "spearman")
[1] 0.5
On Fri, Apr 9, 2010 at 11:22 AM, David Nemer<davidne...@gmail.com> wrote:
Hey Everyone,
Im fresh new in R, and Im supposed to write a code to give me a
correlation
between two rankings. So I have two ranking lists, which contain file
names,
e.g.:
Ranking list 1:
file1.java
file3.java
file2.java
Ranking list 2:
fiile2.java
file4.java
file1.java
I need to see how much are these two ranking lists are alike, get a
correlation between them. I dont even know where to start. Can anyone
bring
me some light or tips? Thank you in advance.
Cheers,
--
David Nemer
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______________________________________________
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PLEASE do read the posting guide
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______________________________________________
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.
--
Peter Ehlers
University of Calgary
______________________________________________
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.
