Sorry to bother everyone, but I've looked in all of the help files and manuals I have and I can't find the answer to this question. I'm doing principle component analysis by calculating the eigen vectors of a correlation matrix that I have that is composed of 21 parameters. I have the eigen vectors and their values that R produced for me but I'm not sure how to tell which eigen vector/value corresponds to which parameter because when R produces eigen vectors it does so in decreasing order of significance, meaning that the eigen vector that explains the most of the variance is listed first, followed by the next eigen vector, etc etc. Any help would be appreciated. Feel free to write back if you need more information on my problem. Thanks!
Jessica Higgs wrote:> Sorry to bother everyone, but I've looked in all of the help files and > manuals I have and I can't find the answer to this question. I'm doing > principle component analysis by calculating the eigen vectors of a > correlation matrix that I have that is composed of 21 parameters. I > have the eigen vectors and their values that R produced for me but I'm > not sure how to tell which eigen vector/value corresponds to which > parameter because when R produces eigen vectors it does so in decreasing > order of significance, meaning that the eigen vector that explains the > most of the variance is listed first, followed by the next eigen vector, > etc etc. Any help would be appreciated. Feel free to write back if you > need more information on my problem. Thanks! > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.htmlHave you considered to use princomp()? Uwe Ligges