R: Test of Recovery of a Correlation or a Covariance matrix from...
rRecovery
R Documentation
Test of Recovery of a Correlation or a Covariance matrix from a Factor Analysis Solution
Description
The rRecovery function returns a verification of the quality of the recovery
of the initial correlation or covariance matrix by the factor solution.
Usage
rRecovery(R, loadings, diagCommunalities=FALSE)
Arguments
R
numeric: initial correlation or covariance matrix
loadings
numeric: loadings from a factor analysis solution
diagCommunalities
logical: if TRUE, the correlation between the initial
solution and the estimated one will use a correlation
of one in the diagonal. If FALSE (default) the diagonal
is not used in the computation of this correlation.
Value
R
numeric: initial correlation or covariance matrix
recoveredR
numeric: recovered estimated correlation or covariance matrix
difference
numeric: difference between initial and recovered estimated
correlation or covariance matrix
cor
numeric: Pearson correlation between initial and recovered estimated
correlation or covariance matrix. Computations depend on the
logical value of the communalities argument.