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
plotParallel.Rd
\name{plotParallel}
\alias{plotParallel}
\title{ Plot a Parallel Analysis Class Object }
\description{
Plot a scree plot adding information about a parallel analysis.
}
\usage{
plotParallel(parallel,
eig = NA,
x = eig,
model = "components",
legend = TRUE,
ylab = "Eigenvalues",
xlab = "Components",
main = "Parallel Analysis",
...
)
}
\arguments{
\item{parallel}{ numeric: vector of the results of a previous parallel analysis }
\item{eig}{ depreciated parameter: eigenvalues to analyse (not used if
x is used, recommended)}
\item{x}{ numeric: a \code{vector} of eigenvalues, a \code{matrix} of
correlations or of covariances or a \code{data.frame} of data}
\item{model}{ character: \code{"components"} or \code{"factors"} }
\item{main}{ character: title of the plot }
\item{xlab}{ character: label of the x axis }
\item{ylab}{ character: label of the y axis }
\item{legend}{ logical: indicator of the presence or not of a legend }
\item{...}{ variable: additionnal parameters to give to the \code{cor} or
\code{cov} functions}
}
\details{
If \code{eig} is \code{FALSE} the plot shows only the parallel analysis without eigenvalues.
}
\value{
Nothing returned.
}
\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/}
}
\seealso{
\code{\link{plotuScree}},
\code{\link{nScree}},
\code{\link{plotnScree}},
\code{\link{parallel}}
}
\examples{
## SIMPLE EXAMPLE OF A PARALLEL ANALYSIS
## OF A CORRELATION MATRIX WITH ITS PLOT
data(dFactors)
eig <- dFactors$Raiche$eigenvalues
subject <- dFactors$Raiche$nsubjects
var <- length(eig)
rep <- 100
cent <- 0.95
results <- parallel(subject,var,rep,cent)
results
## PARALLEL ANALYSIS SCREE PLOT
plotParallel(results, x=eig)
plotParallel(results)
}
\keyword{ Graphics }