structureSimObjectMethods function

Utility Functions for nScree Class Objects

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.

## S3 method for class 'structureSim'
summary(object, index = c(1:15),
  eigenSelect = NULL, ...)

## S3 method for class 'structureSim'
print(x, index = NULL, ...)

## 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'
plot(x, nFactors = NULL, index = NULL,
  main = "Index Acuracy Plot", ...)

is.structureSim(object)

Arguments

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

Returns

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

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)

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

nFactors-package

Author(s)

Gilles Raiche

Centre sur les Applications des Modeles de Reponses aux Items (CAMRI)

Universite du Quebec a Montreal

raiche.gilles@uqam.ca