Dear all I am so glad the R can provide the efficient calculate about eigenvector and eigenvalue. However, i have some puzzle about the procedure of eigen. Fristly, what kind of procedue does the R utilize such that the eigen are obtained? For example, A=matrix(c(1,2,4,3),2,2) we can define the eigenvalue lamda, such as
det | 1-lamda 4 | =0 | 2 3-lamda | then we can obtain the lamda=5 and -1 however, i am interesting in that how does the R to obatin lamda? By the way, how does the R also obtain the eigenvector? Basically, i must to know those definition in the R because i have to utilize eigenvalue and eigenvector to develope SVD (single value decomposition) by myself. Furthermore, i want to obtain the bi-plot about my data. Although someone suggest that i can obtain those result by R (base), there are exist some tough problems which is difficult to solve it. My data is too huge to do it. for example, the size of matrix is 400000*800. So, i think that i should follow whole steps by myself. Finally, it is also my serious problem in the R, I have three estimators which work for the same data. Moreover, i utilize the biplot to realize those tendency. But i find that the the tendency of third estimator mirror the other two, the figures are linked below http://hopjimmy123.pixnet.net/album/photo/108526615#pictop i believe that the tendency should have the same way with the other estimator and the major problem is about the eigenvalue, i hope that someone can give me some idea or provide me some solution about this problem. Sincerely ______________________________________________ R-help@r-project.org 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.