Learn R Programming

nFactors (version 2.3.3.1)

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

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

Run this code
# 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")
 
# }
# NOT RUN {
 
# }

Run the code above in your browser using DataLab