summary.structureSim {nFactors}

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)