Description Usage Arguments Value Author(s) See Also Examples
Produces a useful summary of an apc object
1 2 |
object |
apc object |
... |
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)
summary(my.apc)
|
Error control: IER at 0.05
Model Size RSS APC Active
intercept 0 2850.4838 7.9552 *
+ x1 1 1781.5208 7.8702 *
+ x4 2 1050.8999 7.7484 *
+ x1:x4 3 393.2339 7.2024 *
+ x3 4 11.2268 4.1313 *
+ x1:x2 5 8.3876 4.3868
+ x2 6 6.0467 4.4985
---
Minimum APC: 4.131306
Penalties: 0 0.385 0.791 1.228 1.713 2.26 2.699
Active Effects: x1, x1:x4, x3, x4
Non-active Effects: x1:x2, x1:x2:x3, x1:x2:x3:x4, x1:x2:x4, x1:x3, x1:x3:x4, x2, x2:x3, x2:x3:x4, x2:x4, x3:x4
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