plotnScree {nFactors} | R Documentation |
Scree Plot According to a nScree Object Class
Description
Plot a scree plot adding information about a non graphical nScree
analysis.
Usage
plotnScree(nScree, legend = TRUE, ylab = "Eigenvalues",
xlab = "Components", main = "Non Graphical Solutions to Scree Test")
Arguments
nScree |
Results of a previous |
legend |
Logical indicator of the presence or not of a legend |
ylab |
Label of the y axis (default to |
xlab |
Label of the x axis (default to |
main |
Main title (default to |
Value
Nothing returned.
Author(s)
Gilles Raiche
Centre sur les Applications des Modeles de
Reponses aux Items (CAMRI)
Universite du Quebec a Montreal
raiche.gilles@uqam.ca
References
Raiche, G., Walls, T. A., Magis, D., Riopel, M. and Blais, J.-G. (2013). Non-graphical solutions for Cattell's scree test. Methodology, 9(1), 23-29.
See Also
plotuScree
, nScree
,
plotParallel
, parallel
Examples
## INITIALISATION
data(dFactors) # Load the nFactors dataset
attach(dFactors)
vect <- Raiche # Use the second example from Buja and Eyuboglu
# (1992, p. 519, nsubjects not specified by them)
eigenvalues <- vect$eigenvalues # Extract the observed eigenvalues
nsubjects <- vect$nsubjects # Extract the number of subjects
variables <- length(eigenvalues) # Compute the number of variables
rep <- 100 # Number of replications for the parallel analysis
cent <- 0.95 # Centile value of the parallel analysis
## PARALLEL ANALYSIS (qevpea for the centile criterion, mevpea for the mean criterion)
aparallel <- parallel(var = variables,
subject = nsubjects,
rep = rep,
cent = cent)$eigen$qevpea # The 95 centile
## NOMBER OF FACTORS RETAINED ACCORDING TO DIFFERENT RULES
results <- nScree(eig = eigenvalues,
aparallel = aparallel
)
results
## PLOT ACCORDING TO THE nScree CLASS
plotnScree(results)
[Package nFactors version 2.4.1.1 Index]