https://github.com/cran/nFactors
Tip revision: 592b098fc786911733da1c1953e58c9d1c2e9517 authored by Gilles Raiche on 10 April 2010, 00:00:00 UTC
version 2.3.3
version 2.3.3
Tip revision: 592b098
nFactorsObjectMethods.rd
\name{nFactorsObjectMethods}
\alias{is.nFactors}
\alias{print.nFactors}
\alias{summary.nFactors}
\title{ Utility Functions for nFactors Class Objects}
\description{
Utility functions for \code{nFactors} class objects.
}
\usage{
\method{is}{nFactors} (object)
\method{print}{nFactors} (x, ...)
\method{summary}{nFactors}(object, ...)
}
\arguments{
\item{x}{ nFactors: an object of the class nFactors}
\item{object}{ nFactors: an object of the class nFactors}
\item{...}{ variable: additionnal parameters to give to the \code{print}
function with \code{print.nFactors} or to the \code{summary}
function with
\code{summary.nFactors}}
}
\value{
Generic functions for the nFactors class:
\item{is.nFactors}{ logical: is the object of the class nFactors? }
\item{print.nFactors }{ numeric: vector of the number of components/factors to
retain: same as the \code{nFactors} vector from the \code{nFactors}
object}
\item{summary.nFactors }{ data.frame: details of the results from a nFactors object:
same as the \code{details} data.frame from the \code{nFactors}
object, but with easier control of the
number of decimals with the \code{digits} parameter}
}
\seealso{
\code{\link{nBentler}},
\code{\link{nBartlett}},
\code{\link{nCng}},
\code{\link{nMreg}},
\code{\link{nSeScree}}
}
\references{
Raiche, G., Riopel, M. and Blais, J.-G. (2006). \emph{Non graphical solutions for the Cattell's scree test}.
Paper presented at the International Annual meeting of the Psychometric Society, Montreal.
[\url{http://www.er.uqam.ca/nobel/r17165/RECHERCHE/COMMUNICATIONS/}]
}
\author{
Gilles Raiche \cr
Centre sur les Applications des Modeles de Reponses aux Items (CAMRI) \cr
Universite du Quebec a Montreal\cr
\email{raiche.gilles@uqam.ca}, \url{http://www.er.uqam.ca/nobel/r17165/}
}
\examples{
## SIMPLE EXAMPLE
data(dFactors)
eig <- dFactors$Raiche$eigenvalues
N <- dFactors$Raiche$nsubjects
res <- nBartlett(eig,N); res; is.nFactors(res); summary(res, digits=2)
res <- nBentler(eig,N); res; is.nFactors(res); summary(res, digits=2)
res <- nCng(eig); res; is.nFactors(res); summary(res, digits=2)
res <- nMreg(eig); res; is.nFactors(res); summary(res, digits=2)
res <- nSeScree(eig); res; is.nFactors(res); summary(res, digits=2)
## SIMILAR RESULTS, BUT NOT A nFactors OBJECT
res <- nScree(eig); res; is.nFactors(res); summary(res, digits=2)
}
\keyword{ multivariate }