[R] DOE in R?

[B_miner]

Hello!


This is not a topic I am well versed in but required to become well versed
in...I welcome any assistance!

Using R, I want to create an optimal design for an experiment. I'll be
analyzing the results with logistic regression or some generalized linear
model. I am thinking that the algdesign package can help (but no idea where
to start?).

I'm presenting an example here that I have seen the answer to (in SAS) in
order to make sure I would have gotten it *right*.

There are 5 factors: 4 are quantitative with three levels each and 1 is
qualitative with two levels.

Factor and levels:

Intro: 0, 1.99, 2.99
Duration: 6, 9 ,12
GOTO: 3.99, 4.99, 5.99
Fee: 0, 15, 45
Color: Red, White


In order to screen these factors, I would want to get a design where I could
evaluate all main effects, all first order interactions and the squared
terms of Intro, Duration, GOTO and FEE (for example Intro*Intro).

Looking for the D-optimal design.

Is this something that  R can provide?


These are, according to the SAS paper I read the following:
Obs intro duration goto fee color
1 0.00 6 3.99 0 WHITE
2 0.00 6 3.99 45 RED
3 0.00 6 5.99 0 RED
4 0.00 6 5.99 45 WHITE
5 0.00 9 3.99 45 RED
6 0.00 9 4.99 15 WHITE
7 0.00 9 5.99 0 RED
8 0.00 12 3.99 0 RED
9 0.00 12 3.99 45 WHITE
10 0.00 12 5.99 0 WHITE
11 0.00 12 5.99 45 RED
12 0.00 12 5.99 45 WHITE
13 1.99 6 3.99 15 RED
14 1.99 6 4.99 45 WHITE
15 1.99 6 5.99 0 WHITE
16 1.99 9 5.99 45 RED
17 1.99 12 3.99 0 WHITE
18 1.99 12 5.99 15 RED
19 2.99 6 3.99 0 WHITE
20 2.99 6 3.99 45 WHITE
21 2.99 6 4.99 0 RED
22 2.99 6 5.99 15 WHITE
23 2.99 6 5.99 45 RED
24 2.99 9 3.99 0 RED
25 2.99 12 3.99 15 WHITE
26 2.99 12 3.99 45 RED
27 2.99 12 4.99 0 WHITE
28 2.99 12 4.99 45 RED
29 2.99 12 5.99 0 RED
30 2.99 12 5.99 45 WHITE


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