structureSimObjectMethods: Utility Functions for nScree Class Objects

In nFactors: Parallel Analysis and Other Non Graphical Solutions to the Cattell Scree Test

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'
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

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
[e-mail]

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

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)

nFactors documentation built on Oct. 10, 2022, 5:07 p.m.