Hi, I try to calculate the angle between two first eigenvectors of different covariance matrices of biological phenotypic traits for different populations. My issue here is, that all possibilities to do so seem to normalize the eigenvectors to length 1. Although the helpfile of eigen() states, that using eigen(, symmetric = FALSE, EISPACK =TRUE) skips normalization this is (I guess) not applicable for me as my matrices are symmetric.
x<-eigen(cov(population1))$vectors[,1] y<-eigen(cov(population2))$vectors[,1] angle (in degree): ((acos((x%*%y)/(sqrt(x%*%y)*sqrt(y%*%y))))*180)/pi Thus by using normalized vectors, the divisor becomes meaningless being 1. Does anybody have an idea to get raw eigenvectors? Thanks a lot Kay Lucek Aquatic Ecology & Macroevolution University of Bern Baltzerstr. 6 3012 Bern Switzerland ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
