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Last data update: 2014.03.03

R: Utility Functions for nScree Class Objects

structureSimObjectMethods

R Documentation

Utility Functions for nScree Class Objects

Description

Utility functions for structureSim class objects. Note that with the plot.structureSim a dotted black vertical line shows the median number of factors retained 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/]

Examples

## Not run: 
## 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")
 
## End(Not run)