FactanalGUI {DASplusR} | R Documentation |
Graphical user interface for factor analysis. The function
factanalDAS
is executed when the OK button is clicked and the
results are summarized in the output window of DAS+R.
## DAS+R GUI: Advanced --> Factor Analysis --> Compute Factors ## R Function Usage: FactanalGUI()
"factanal"
can be selected
from the drop-down list on the right. For such an object, the function
call that has been used for its computation is stored. The object
is only shown in this list if one of the following conditions on the
function call holds: either the active data set has been used as the
data
argument, or no data
argument has been supplied. When
using this option, all other dialog elements, except the checkboxes for
the factor loading plot and the biplot, are disabled because no
calculation will be done. They can be used again when this checkbox is
unchecked.center
and cov
, as
returned by cov.wt
(or covMcd
from package robustbase). Since scores can only be computed if
an estimate of the central location of the data is supplied, this is not
possible if the selected object is a matrix. In any case, make
sure that the selected variables are the same that have been used to
calculate the covariance matrix. Also, the dialog elements for
log-transformation and robust estimation of the covariance matrix are
disabled until this box is unchecked again, because these options cannot be
used with a previously calculated covariance matrix."factanal"
. Which objects are included depends on the function
calls used for their computation. One of the following two conditions
has to hold: either the active data set has been used as the data
argument, or no data
argument has been supplied.factanalDAS
. A summary
of the results is shown in the output window of DAS+R.factanalDAS
.The correlation matrix is always used to compute the factors. Therefore, constant variables cannot be included in FA.
Andreas Alfons <andreas.alfons@student.tuwien.ac.at>
Bartlett, M. S. (1937) The statistical conception of mental factors. British Journal of Psychology, 28, 97–104.
Lawley, D.N. and Maxwell, A.E. (1971) Factor Analysis as a Statistical Method, 2nd edition. Butterworths.
Mardia, K.V., Kent, J.T. and Bibby, J.M. (1979) Multivariate Analysis. Academic Press.
Johnson, R.A. and Wichern, D.W. (2002) Applied Multivariate Statistical Analysis. Prentice Hall. 5th edition.
Reimann, C., Filzmoser, P., Garrett, R.G. and Dutter, R. (2008) Statistical Data Analysis Explained. Wiley & Sons.
factanalDAS
, LogTransform
,
FactplotGUI
, BiplotGUI
.