Factor Analysis via Principal Factors

DESCRIPTION:

Returns an object of class factanal representing the principal factor solution to the factor analysis model.

USAGE:

factanal.fit.principal(cmat, factors, p=ncol(cmat), start=<<see below>>, 
         iter.max=5, unique.tol=0.0001) 

REQUIRED ARGUMENTS:

cmat
a correlation matrix. Missing values are not accepted.
factors
the number of factors in the model.

OPTIONAL ARGUMENTS:

p
the number of variables (the number of rows and columns in cmat).
start
a vector of length p giving the starting value for the uniquenesses of the variables. The default is 1 minus the maximum correlation with the other variables.
iter.max
an integer stating the maximum number of iterations to be used.
unique.tol
a positive number giving the tolerance for the change in uniquenesses. If no uniqueness changes by more than unique.tol from one iteration to the next, then convergence is declared.

VALUE:

an object of class "factanal" - see factanal.object for details.

SEE ALSO:

, , .