Dear Arlindo,
When, as here, the eigenvalues are distinct, corresponding eigenvectors are
defined only up to multiplication by a nonzero constant. As you can verify, the
first set of eigevectors is normalized to length 1 while the second set is
normalized to have length equal to the correspondi
Arlindo Meque yahoo.com.br> writes:
>
>
> Dear all,
>
> I've used the 'prcomp' command to
> calculate the eigenvalues and eigenvectors of a matrix(gg).
>
> Using the command 'principal' from the
> 'psych' package I've performed the same exercise. I got the same
> eigenvalues but different
Dear all,
I've used the 'prcomp' command to
calculate the eigenvalues and eigenvectors of a matrix(gg).
Using the command 'principal' from the
'psych' package I've performed the same exercise. I got the same
eigenvalues but different eigenvectors. Is there any reason for that
difference?
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