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 -- View this message in context: http://www.nabble.com/DOE-in-R--tp25286421p25286421.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
