Class "FaClassic"

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Description

Contains the results of a classical Factor Analysis

Objects from the Class

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.

Slots

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.

Extends

Class "Fa", directly.

Methods

No methods defined with class "FaClassic" in the signature.

Author(s)

Ying-Ying Zhang (Robert) robertzhangyying@qq.com

References

Zhang, Y. Y. (2013), An Object Oriented Solution for Robust Factor Analysis.

See Also

FaClassic-class, FaCov-class, FaRobust-class, Fa-class

Examples

1
showClass("FaClassic")