| factanal.fit.principal {StatDA} | R Documentation |
Fit a Factor Analysis
Description
Internal function for pfa.
Usage
factanal.fit.principal(cmat, factors, p = ncol(cmat), start = NULL,
iter.max = 10, unique.tol = 1e-04)
Arguments
cmat |
provided correlation matrix |
factors |
number of factors |
p |
number of observations |
start |
vector of start values |
iter.max |
maximum number of iteration used to calculate the common factor |
unique.tol |
the tolerance for a deviation of the maximum (in each row, without the diag) value of the given correlation matrix to the new calculated value |
Value
loadings |
A matrix of loadings, one column for each factor. The factors are ordered in decreasing order of sums of squares of loadings. |
uniquness |
uniquness |
correlation |
correlation matrix |
criteria |
The results of the optimization: the value of the negativ log-likelihood and information of the iterations used. |
factors |
the factors |
dof |
degrees of freedom |
method |
"principal" |
Author(s)
Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://cstat.tuwien.ac.at/filz/
References
C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons, Chichester, 2008.