By coefficients do you mean loadings? Anyway, if you read the help for princomp -- ?princomp -- will get that, you'll see that it says, in part:
‘princomp’ returns a list with class ‘"princomp"’ containing the following components: sdev: the standard deviations of the principal components. loadings: the matrix of variable loadings (i.e., a matrix whose columns contain the eigenvectors). This is of class ‘"loadings"’: see ‘loadings’ for its ‘print’ method. scores: if ‘scores = TRUE’, the scores of the supplied data on the principal components. These are non-null only if ‘x’ was supplied, and if ‘covmat’ was also supplied if it was a covariance list. For the formula method, ‘napredict()’ is applied to handle the treatment of values omitted by the ‘na.action’. So for instance, myprincomp <- princomp(mydata) myprincomp$scores # shows the scores Sarah On Fri, Jan 28, 2011 at 2:16 PM, Zunqiu Chen <che...@ohsu.edu> wrote: > Dear All, > > It might be a simple question. But I could not find the answer from function > “prcomp” or “princomp”. Does anyone know what are the codes to get > coefficient and scores of Principal component analysis in R? > > Your reply will be appreciated! > > Best > Zunqiu > -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ 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.