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")