[R] DOE in R
spencer.graves at pdf.com
Thu Aug 3 19:50:45 CEST 2006
<see in line>
Petr Pikal wrote:
> something like
if you want all interactions. Make sure all "yourfactors" are of class
Hope this helps.
> but the exact structure of lm or aov construction depends on what you
> want to test.
> On 28 Jul 2006 at 21:43, dvrecko at sfu.ca wrote:
> Date sent: Fri, 28 Jul 2006 21:43:38 -0700
> From: dvrecko at sfu.ca
> To: r-help at stat.math.ethz.ch
> Subject: [R] DOE in R
> Send reply to: dvrecko at sfu.ca
> <mailto:r-help-request at stat.math.ethz.ch?subject=unsubscribe>
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>> I'm a student in a graduate program at Simon Fraser University in
>> I am trying to run a simple screening experiment with some simulated
>> I simply want to do an ANOVA of an experiemnt with 5 factors (4 have 2
>> levels, the last has 3 levels) and 48 runs (ie, full factorial).
>> The thing is that I have multiple observations for each level
>> combination (run).
>> 1) How do I do the anova based on the setup above?
>> 2) More importantly, because of convergence issues for my simulations,
>> I will likely have an unequal number of observations for the 48 runs.
>> How can I do this?
>> Seems like a straightforward enough situation.
>> I am trying to avaoid writing my own C code to do the analysis since I
>> am working under some pretty tight time constraints.
>> ANy help would be appreciated.
>> Thanks very much.
>> Dean Vrecko
>> R-help at stat.math.ethz.ch mailing list
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html and provide commented,
>> minimal, self-contained, reproducible code.
> Petr Pikal
> petr.pikal at precheza.cz
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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