Adaikalavan Ramasamy wrote:
> Using the info from that website, I can code up the following to give
> the two-tailed p-value of difference in correlations:
>
> diff.corr <- function( r1, n1, r2, n2 ){
> ...
William Revelle also mentioned the r.test in the psych package.
I would add here that
At 5:02 PM + 11/29/10, Adaikalavan Ramasamy wrote:
Thanks for providing the example but it would be useful to know who
I am communicating with or from which institute, but nevermind ...
I don't know much about this subject but a quick google search gives
me the following site: http://david
Hi,
thanks a lot. that's what i tried to figure out!
it works great and is exactly what i need.
Best,
syrvn
--
View this message in context:
http://r.789695.n4.nabble.com/Significance-of-the-difference-between-two-correlation-coefficients-tp3063765p3063997.html
Sent from the R help mailing li
Thanks for providing the example but it would be useful to know who I am
communicating with or from which institute, but nevermind ...
I don't know much about this subject but a quick google search gives me
the following site: http://davidmlane.com/hyperstat/A50760.html
Using the info from th
Hi,
based on the sample size I want to calculate whether to correlation
coefficients are significantly different or not. I know that as a first step
both coefficients
have to be converted to z values using fisher's z transformation. I have
done this already but I dont know how to further proceed
5 matches
Mail list logo