Dear Claudia,
you are right. Thank you very much for your explanations. So in the
non-centered case SDEV does not contain the square roots of the eigenvalues
of the covariance/correlation matrix. In in the centered case it holds
A´A=(n-1)*cov(A) (not n+1).
Have a nice day.
--
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Hello,
I have a short question about the prcomp function. First I cite the
associated help page (help(prcomp)):
Value:
...
SDEV the standard deviations of the principal components (i.e., the square
roots of the eigenvalues of the covariance/correlation matrix, though the
calculation is actually
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