StatDA (version 1.5)

factanal.fit.principal: 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"

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.