| structureSimObjectMethods {nFactors} | R Documentation |
Utility functions for structureSim class objects Note that with the
plot.structureSim a black dotted vertical line shows the median number of
factors retain by all the different indices.
## 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, ...)
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. |
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 |
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/
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/]
## 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")