nFactors-parameters {nFactors} | R Documentation |
This help file describes the argument and value parameters used in the different functions
available in package nFactors.
Arguments:
TRUE
print the recovered
population matrix from the factor structure
(structureSim
)TRUE
computes athe Bentler and Yuan
index (very long computating time to consider)
(structureSim, studySim
)nBartlett, nBentler
)nScree
) moreStats, parallel
)"component"
,
"ginv"
, "maxr"
, or "multiple"
)
(iterativePrincipalAxis, principalAxis
)TRUE
computes eigenvalues
from a correlation
matrix, else from a covariance matrix
(eigenComputes, nBartlett, nBentler,
nCng, nMreg, nScree, nSeScree
)TRUE
use a correction
for the degree
of freedom after the first eigenvalue (nBartlett
)nScree
)TRUE
also return detains about the
computation for each eigenvalues (nBartlett, nBentler,
nCng, nMreg, structureSim
)TRUE
, the correlation between
the initial
solution and the estimated one will use a
correlation of one in the diagonal.
If FALSE
(default) the diagonal is not
used in the computation of
this correlation or covariance matrix
(rRecovery
)studySim
)nScree, plotParallel
)plotuScree
)structureSim
)bentlerParameters, structureSim
)plot.structureSim, print.structureSim, summary.structureSim
iterativePrincipalAxis
)plotnScree, plotParallel
) rRecovery, generateStructure, studySim
)TRUE
does the minimization on the log values (bentlerParameters, nBentler
)plotnScree, plotParallel, plotuScree, boxplot.structureSim,
plot.structureSim
) bentlerParameters, nBentler
)bentlerParameters, nBentler
)"giv"
is supplied to compute the
approximation of the communalities by maximum correlation
(corFA, nCng, nMreg, nScree, nSeScree
)generateStructure
) generateStructure
)"components"
or "factors"
(nScree, parallel, plotParallel,
plotuScree, structureSim, eigenBootParallel, eigenBootParallel, studySim
)nBartlett, bentlerParameters, nBentler, studySim
)eigenBootParallel
) componentAxis,
iterativePrincipalAxis, principalAxis, bentlerParameters, boxplot.structureSim, studySim
)plotnScree
)"permutation"
or "bootstrap"
(eigenBootParallel
)is.nScree, summary.nScree
is.structureSim,
summary.structureSim
)plotParallel
)generateStructure, studySim
) parallel, moreStats,
eigenBootParallel, structureSim, studySim
) componentAxis, iterativePrincipalAxis,
principalAxis, principalComponents, rRecovery, corFA
)structureSim, nSeScree, studySim
)parallel
)structureSim, studySim
)structureSim, studySim
)bentlerParameters
)bentlerParameters
)parallel
)TRUE
print the quantile choosen (moreStats
) studySim
)parallel
)iterativePrincipalAxis
)TRUE
output details of the status of the simulations
(studySim
)"wireframe"
,
"contourplot"
or "levelplot"
(bentlerParameters
)generateStructure, studySim
) TRUE
the upper diagonal is replaced with the lower
diagonal. If FALSE
, lower diagonal is replaced with upper diagonal
(diagReplace
)corr
function (eigenBootParallel
) parallel, generateStructure, studySim
) boxplot.structureSim
)vector
of eigenvalues, a matrix
of
correlations or of covariances or a data.frame
of data
(eigenFrom, nBartlett, nCng, nMreg
)plotnScree, plotParallel, plotuScree,
boxplot.structureSim
)eigenBootParallel
)plotParallel
)plot.nScree, print.nScree
)makeCor
)moreStats
)boxplot.structureSim,
plot.structureSim, print.structureSim
)plotnScree, plotParallel, plotuScree,
boxplot.structureSim
) Values:
communalities
argument (rRecovery
) nBartlett, bentlerParameters, nCng, nMreg
)rRecovery
)iterativePrincipalAxis
)componentAxis,
iterativePrincipalAxis, principalAxis, principalComponents
) nBartlett, bentlerParameters, nCng, nMreg
) diagReplace, rRecovery
)rRecovery
) iterativePrincipalAxis
)nScree, parallel, plotnScree, plotParallel,
plotuScree, structureSim
)moreStats
) makeCor
) iterativePrincipalAxis, principalComponents
) eigenBootParallel
)corFA
)componentAxis, principalAxis
) generateStructure
)componentAxis, iterativePrincipalAxis,
principalAxis, principalComponents
) componentAxis,
iterativePrincipalAxis, principalAxis, principalComponents
)
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/
David Magis
Research Group of Quantitative Psychology and Individual Differences
Katholieke Universiteit Leuven
David.Magis@psy.kuleuven.be, http://ppw.kuleuven.be/okp/home/
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/]
Other packages are also very useful for principal components and factor analysis. The R psychometric view is instructive at this point. See http://cran.stat.sfu.ca/web/views/Psychometrics.html for further details.