From: Worik Turei stanton <turwa720_at_student.otago.ac.nz>

Date: Sat 23 Jul 2005 - 20:33:55 EST

:

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sat Jul 23 20:40:53 2005

Date: Sat 23 Jul 2005 - 20:33:55 EST

Friends

I am new to R (and statistics) so am struggling a bit.

I am interested in getting the P-Value from cor(X) where X is a matrix.

I have 4 vectors and can generate the corellation matrix...

X1 1.00000000 -0.06190365 -0.156972795 0.182547517 X2 -0.06190365 1.00000000 0.264352860 0.146750844 X3 -0.15697279 0.26435286 1.000000000 -0.006380052 X4 0.18254752 0.14675084 -0.006380052 1.000000000

But I want the P-Values (gives me the significance I belive).

> cor.test(X2, X3)

Pearson's product-moment correlation

is very cool. Just what I want. But there is too much information for too little data.

What I would like to do is some thing like...

cor_with_p_test(cbind(X1, X2, X3, X4))

X1 X2 X3 X1 1 -0.06190365 -0.1569728... P 0.4517 0.05507 ... X2 -0.06190365 1 0.2643529 ... P 0.4517 0.001080 ...:

:

I think I could write a function for it if such a function does not exist if I could do...

> CT23 <- cor.test(X2, X3)

> CT23$P

0.001080

> CT23$V

0.2643529

cheers

Worik

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sat Jul 23 20:40:53 2005

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