fac.aov object, if the object has
residuals.
plot.fac.aov(x, ptype="all", run.order, ...) plot.rsm.lm(x, ptype="all", run.order, ...)
fac.aov or
rsm.lm.
"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".
ptype="all"
, plots are displayed in a
2x2 multiple page layout.
Haaland, P. D. (1989),
Experimental Design in Biotechnology,
New York: Marcel Dekker.
Weisberg, S. (1985),
Applied Linear Regression,
2nd Ed., New York: Wiley.
buffer.red1 <- update(buffer.fac,~pH*thimer+pH*gent) plot(buffer.red1)