factanal.fit.principal: Fit a Factor Analysis

Description Usage Arguments Value Author(s) References

Description

Internal function for pfa.

Usage

1
2
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.


StatDA documentation built on March 13, 2020, 2:42 a.m.