FaRobust-class | R Documentation |
"FaRobust"
Class "FaRobust"
is a virtual base class for all robust FA classes. Currently the only available robust FA class is "FaCov"
. The class "FaRobust"
serves as a base class for deriving all other classes representing the results of the robust Factor Analysis methods.
A virtual Class: No objects may be created from it.
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 "FaRobust" 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("FaRobust")
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