Description Usage Arguments Value Author(s) See Also Examples
Produces a scatterplot of minimum APC versus model size. This is useful for visualizing the relative values of APC for the best models of each size.
1 2 |
x |
apc object |
elabs |
use effect labels as plotting characters |
... |
other arguments |
none
Arden Miller and Abu Zar Md. Shafiullah
1 2 3 4 5 6 | ## This example demonstrates the analysis of an artificial data set for a unreplicated
## factorial design for four two-level factors. The values of "resp" were generated as
## "resp<-round(10+8*x1+5*x3+7*x4+6*x1*x4+rnorm(16),2)". The data is contained in the
## data frame "testdata". A maximum model size of 6 and an IER of .05 are used.
my.apc = apc(resp~x1*x2*x3*x4, maxsize=6, data=testdata, method=1, level=.05, reps=9000)
plot(my.apc)
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