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>

### References

C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons Inc. To appear.

[Package StatDA version 1.0 Index]