eigen.loadings: Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings
Description
The default procedures for principal component returns values not immediately equivalent to the loadings from a factor analysis. eigen.loadings translates them into the more typical metric of eigen vectors multiplied by the squareroot of the eigenvalues. This lets us find pseudo factor loadings if we have used princomp or princ.
If we use principal to do our principal components analysis, then we do not need this routine.
Usage
eigen.loadings(x)
Arguments
x
a matrix of loadings from princ or princomp
Value
A matrix of PA loadings more typical for what is expected in psychometrics.