Summary of a Fractional Factorial Design
DESCRIPTION:
Prints information about an object of class "fac.aov".
USAGE: 
summary.fac.aov(x, method)
REQUIRED ARGUMENTS:
x:
an object of class "fac.aov".
method:
the method to use to estimate the standard error. Options are "mse" (mean squared standard error), "pse" (pseudo standard error), "ase" (adaptive standard error), and "tse" (trimmed standard error). The default is "pse" unless x$mse is non-null, when "mse" is used.
VALUE:
an object of class "summary.fac.aov". The printout lists the estimates for the effects, standard error estimates based on the method chosen, t-values and p-values.
REFERENCES:
Haaland, P. D. (1989), Experimental Design in Biotechnology, New York: Marcel Dekker.

Haaland, P. D. and M. A. O'Connell (1994), Inference for effect saturated fractional factorials, to appear in Technometrics.

SEE ALSO:
print.summary.fac.aov , fac.aov , fac.design , design.digest , pareto.fac.aov , pse , tse , ase .
EXAMPLES: 
buffer.fac <- fac.aov(buffer.df)
summary(buffer.fac)
summary(buffer.fac,method='ase')