| FaClassic-class | R Documentation |
"FaClassic"Contains the results of a classical Factor Analysis
Objects can be created by calls of the form new("FaClassic", ...). But the usual way of creating FaClassic objects is a call to the function FaClassic which serves as a constructor.
call:Object of class "language" an unevaluated function call
converged:Object of class "Ulogical" a logical character indicates whether the iterations converged
loadings:Object of class "matrix" the matrix of variable loadings
uniquenesses:Object of class "vector" the uniquenesses computed
covariance:Object of class "matrix" the covariance matrix
correlation:Object of class "matrix" the correlation matrix
usedMatrix:Object of class "matrix" the used matrix (running matrix)
criteria:Object of class "Unumeric". The results of the optimization: the value of the negative log-likelihood and information on the iterations used.
factors:Object of class "numeric" the number of factors
dof:Object of class "Unumeric". The number of degrees of freedom of the factor analysis model.
method:Object of class "character". The method: one of "mle", "pca", and "pfa".
scores:Object of class "Umatrix". If requested, a matrix of scores.
scoresMethod:Object of class "character". The scores method: one of "none", "regression", and "Bartlett".
STATISTIC:Object of class "Unumeric". The significance-test statistic, if it can be computed.
PVAL:Object of class "Unumeric". The significance-test P value, if it can be computed.
n.obs:Object of class "Unumeric". The number of observations if available.
center:Object of class "Uvector". The center of the data.
eigenvalues:Object of class "vector" the eigenvalues
cov.control:Object of class "UCovControl". Record the cov control method.
Class "Fa", directly.
No methods defined with class "FaClassic" in the signature.
Ying-Ying Zhang (Robert) robertzhangyying@qq.com
Zhang, Y. Y. (2013), An Object Oriented Solution for Robust Factor Analysis.
FaClassic-class, FaCov-class, FaRobust-class, Fa-class
showClass("FaClassic")
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