plotParallel {nFactors} | R Documentation |
Plot a scree plot adding information about a parallel analysis.
plotParallel(parallel, eig = NA, x = eig, model = "components", legend = TRUE, ylab = "Eigenvalues", xlab = "Components", main = "Parallel Analysis", ... )
parallel |
numeric: vector of the result of a previous parallel analysis |
eig |
depreciated parameter: Eigenvalues to analyse (not used if x is used, recommended) |
x |
numeric: a vector of eigenvalues, a matrix of
correlations or of covariances or a data.frame of data |
model |
character: "components" or "factors" |
main |
character: title of the plot |
xlab |
character: label of the x axis |
ylab |
character: label of the y axis |
legend |
logical: indicator of the presence or not of a legend |
... |
variable: additionnal parameters to give to the cor or
cov functions |
If eig
is FALSE
the plot shows only the parallel analysis without eigenvalues.
Nothing returned.
Gilles Raiche
Centre sur les Applications des Modeles de Reponses aux Items (CAMRI)
Universite du Quebec a Montreal
raiche.gilles@uqam.ca, http://www.er.uqam.ca/nobel/r17165/
Raiche, G., Riopel, M. and Blais, J.-G. (2006). Non graphical solutions for the Cattell's scree test. Paper presented at the International Annual meeting of the Psychometric Society, Montreal. [http://www.er.uqam.ca/nobel/r17165/RECHERCHE/COMMUNICATIONS/]
plotuScree
,
nScree
,
plotnScree
,
parallel
## 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)