factor.residuals {psych}R Documentation

R* = R- F F'

Description

The basic factor or principal components model is that a correlation or covariance matrix may be reproduced by the product of a factor loading matrix times its transpose. Find the residuals of the original minus the reproduced matrix. Used by factor.fit, VSS, ICLUST, etc.

Usage

factor.residuals(r, f)

Arguments

r A correlation matrix
f A factor model matrix

Details

The basic factor equation is nRn = nFk kFn' + U2. Residuals are just R* = R - F'F.

Value

rstar is the residual correlation matrix.

Author(s)

Maintainer: William Revelle <revelle@northwestern.edu>

See Also

factor.pa, principal, VSS, ICLUST

Examples



[Package psych version 1.0-33 Index]