Class "FaClassic"
FaClassic-class.Rd
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 callconverged
:Object of class
"Ulogical"
a logical character indicates whether the iterations convergedloadings
:Object of class
"matrix"
the matrix of variable loadingsuniquenesses
:Object of class
"vector"
the uniquenesses computedcovariance
:Object of class
"matrix"
the covariance matrixcorrelation
:Object of class
"matrix"
the correlation matrixusedMatrix
: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 factorsdof
: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 eigenvaluescov.control
:Object of class
"UCovControl"
. Record the cov control method.
Extends
Class "Fa"
, directly.
Author
Ying-Ying Zhang (Robert) robertzhangyying@qq.com
See also
FaClassic-class
, FaCov-class
, FaRobust-class
, Fa-class
Examples
showClass("FaClassic")
#> Class "FaClassic" [package "robustfa"]
#>
#> Slots:
#>
#> Name: call converged loadings
#> Class: language Ulogical matrix
#>
#> Name: communality uniquenesses cor
#> Class: Uvector vector Ulogical
#>
#> Name: covariance correlation usedMatrix
#> Class: matrix matrix matrix
#>
#> Name: reducedCorrelation criteria factors
#> Class: Umatrix Unumeric numeric
#>
#> Name: dof method scores
#> Class: Unumeric character Umatrix
#>
#> Name: scoresMethod scoringCoef meanF
#> Class: character Umatrix Uvector
#>
#> Name: corF STATISTIC PVAL
#> Class: Umatrix Unumeric Unumeric
#>
#> Name: n.obs center eigenvalues
#> Class: numeric Uvector vector
#>
#> Name: cov.control
#> Class: UCovControl
#>
#> Extends: "Fa"