Hi everybody, I have three questions to ask us: a) R incorporates a function for the Non-central T distribution which unfortunately and, as you know, is not available in Splus 4.5. In http://www.stats.ox.ac.uk/pub/Swin I found the Don MacQueen´s noncent.zip but when I run it in Splus 4.5 the following error message appears: "Error in .Fortran ("vectnc",: "VECTNC" is not a symbol in the load table". May be I did not installed it correctly or (as I suppose) it is incompatible with this version of Splus. I looked in the directory for Splus 6.0 http://www.stats.ox.ac.uk/pub/MASS3/Winlibs but the update of this function is not there. Do you know of some alternative function for the Non-central T in Splus 4.5 or how to solve the problem with noncent.zip?
b) I wanted to apply the overall test for coincidental regressions (see Zar, pag. 304), whose statistic is: F = ((SSt-SSp)/2(K-1))/( SSp/DFp) , which follows a F 2(k-1), p, where SSt is the total sum of squares, SSp the pooled sum of squares, DFp the pooled degrees of freedom and k the number of regressions compared. In analogy with the ANOVA approach, I suppose that the non centrality parameter of the F for this test is: DFp(SSt-SSp)/ SSp, but I am not sure. Could you confirm it?. c) Finally, I also wanted to apply a multivariate parametric mean comparisons test (the parametric analogous of Friedman´s), whose statistic is: F = (n-2)/p(AE(X)) (INV(ASA´))(AE(X))´ which follows a F p, n-2, where S is the variance-covariance matrix of p x p dimension, A is the identity matrix, E(X) the sample means matrix and n is the sample size. I was told that the ncp of the non centrality Fp,n-2 for this test is: D (ASA) D´, where D = (E(X1)-E(X2), E(X2)-E(X3)), but I am not absolutely sure. Could you confirm it?. I wait for your responses, Best wishes, Jens Krann, Biologist. Email: [EMAIL PROTECTED] ___________________________________________________ Yahoo! Messenger - Nueva versión GRATIS Super Webcam, voz, caritas animadas, y más... ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help