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://www.statistik.tuwien.ac.at/public/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.


[Package StatDA version 1.1 Index]