Hello, I am wondering whether there is a way to test whether two non-independent correlation coefficients are significantly different, in R?
I have an experimentally measure variable Y, and two different variables X1, and X2, which are predictions of Y that were predicted using two different computational models. I would like to see whether the correlation of Y and X1, and Y and X2 is significantly different. Since Y appears in both correlations the correlation coefficients will be non-independent. (so you cannot use a Z test like you would for comparing independent correlation coefficients, I think). I have read that there is a test for comparing non-independent correlation coefficients, by EJ Williams (1959) and Steiger. There is also a test called Hotelling's t test. I'm wondering does anyone know whether I can somehow carry out any of these using an R package, or compare non-independent correlations using R by some other method? I will greatly appreciate any help, thankyou, Avril Coghlan (University College Dublin, Ireland) ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
