psych (version 1.0-23)

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.

Examples

## The function is currently defined as
"eigen.loadings" <- 
function (x) { #convert eigen vectors to loadings by unnormalizing them
               #used if using princomp or princ, not needed for principal
    return(x$vectors %*% sqrt(diag(x$values)))
    }