Plot for Fitted Fractional Factorial Models

DESCRIPTION:

Displays diagnostic plots for a fac.aov object, if the object has residuals.

USAGE:

plot.fac.aov(x, ptype="all", run.order, ...) 
plot.rsm.lm(x, ptype="all", run.order, ...) 

REQUIRED ARGUMENTS:

x
the result of fitting a fractional factorial model with fac.aov or rsm.lm.

OPTIONAL ARGUMENTS:

ptype
character string specifying the type of plot desired. The possible values are "pred", "order", "std.res", and "normal", which stand for observed vs predicted plot, residuals vs run order plot, standardized residuals vs predicted plot, a normal score plot, respectively. In addition, specifying "all" will produce a plot with each of the four above mentioned plots shown in a different corner. Default is "all".
run.order
vector giving chronological order of experimental runs.
...
arguments to the function plot.

VALUE:

None.

SIDE EFFECTS:

Plot(s) requested are displayed on the current graphics device. If ptype="all" , plots are displayed in a 2x2 multiple page layout.

REFERENCES:

Haaland, P. D. (1989), Experimental Design in Biotechnology, New York: Marcel Dekker.

Weisberg, S. (1985), Applied Linear Regression, 2nd Ed., New York: Wiley.

SEE ALSO:

, .

EXAMPLES:

buffer.red1 <- update(buffer.fac,~pH*thimer+pH*gent) 
plot(buffer.red1)