structureSimObjectMethods {nFactors}R Documentation

Utility Functions for nScree Class Objects

Description

Utility functions for structureSim class objects Note that with the plot.structureSim a black dotted vertical line shows the median number of factors retain by all the different indices.

Usage

 ## S3 method for class 'structureSim':
 boxplot (x, nFactors=NULL, eigenSelect=NULL,
                                 vLine="green", xlab="Factors",
                                 ylab="Eigenvalues", main="Eigen Box Plot", ...)
 ## S3 method for class 'structureSim':
 is      (object)
 ## S3 method for class 'structureSim':
 plot    (x, nFactors=NULL, index=NULL,
                                 main="Index Acuracy Plot", ...)
 ## S3 method for class 'structureSim':
 print   (x, index=NULL, ...)
 ## S3 method for class 'structureSim':
 summary (object, index=c(1:15), eigenSelect=NULL, ...)
 

Arguments

eigenSelect numeric: vector of the index of the selected eigenvalues
index numeric: vector of the index of the selected indices
main character: main title
nFactors numeric: if known, number of factors
object structureSim: an object of the class structureSim
vLine character: color of the vertical indicator line of the initial number of factors in the eigen boxplot
x structureSim: an object of the class structureSim
xlab character: x axis label
ylab character: y axis label
... variable: additionnal parameters to give to the boxplot, plot, print and summary functions.

Value

Generic functions for the structureSim class:

boxplot.structureSim graphic: plots an eigen boxplot
is.structureSim logical: is the object of the class structureSim?
plot.structureSim graphic: plots an index acuracy plot
print.structureSim numeric: data.frame of statistics about the number of components/factors to retain according to different indices following a structureSim simulation
summary.structureSim list: two data.frame, the first with the details of the simulated eigenvalues, the second with the details of the simulated indices

Author(s)

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/

References

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/]

See Also

nFactors-package

Examples

## INITIALISATION
 library(xtable)
 library(nFactors)
 nFactors  <- 3
 unique    <- 0.2
 loadings  <- 0.5
 nsubjects <- 180
 repsim    <- 10
 var       <- 36
 pmjc      <- 12
 reppar    <- 10
 zwick     <- generateStructure(var=var, mjc=nFactors, pmjc=pmjc,
                                loadings=loadings,
                                unique=unique)

## SIMULATIONS
mzwick    <-  structureSim(fload=as.matrix(zwick), reppar=reppar,
                           repsim=repsim, details=TRUE,
                           N=nsubjects, quantile=0.5)

## TEST OF structureSim METHODS
 is(mzwick)
 summary(mzwick, index=1:5, eigenSelect=1:10, digits=3)
 print(mzwick, index=1:10)
 plot(x=mzwick, index=c(1:10), cex.axis=0.7, col="red")
 boxplot(x=mzwick, nFactors=3, vLine="blue", col="red")
 

[Package nFactors version 2.3.1 Index]