factanal.fit.principal: Fit a Factor Analysis
In StatDA: Statistical Analysis for Environmental Data

factanal.fit.principal

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.

StatDA documentation built on June 7, 2023, 6:26 p.m.