<see in line>
Petr Pikal wrote:
> See
>
> ?aov
> ?lm
>
> something like
>
> lm(result~yourfactor1+yourfactor2+yourfactor3+yourfactor5,
> data=yourdataframe)
>
or
lm(result~(yourfactor1+yourfactor2+yourfactor3+yourfactor5)^2,
data=yourdataframe)
if you want all interactions. Make sure all "yourfactors" are of class
"factor".
Hope this helps.
Spencer Graves
or
> aov(result~yourfactor1+yourfactor2+yourfactor3+yourfactor5,
> data=yourdataframe)
>
> but the exact structure of lm or aov construction depends on what you
> want to test.
>
> HTH
> Petr
>
>
> On 28 Jul 2006 at 21:43, [EMAIL PROTECTED] wrote:
>
> Date sent: Fri, 28 Jul 2006 21:43:38 -0700
> From: [EMAIL PROTECTED]
> To: r-help@stat.math.ethz.ch
> Subject: [R] DOE in R
> Send reply to: [EMAIL PROTECTED]
> <mailto:[EMAIL PROTECTED]>
> <mailto:[EMAIL PROTECTED]>
>
>> Hi.
>>
>> I'm a student in a graduate program at Simon Fraser University in
>> Canada.
>>
>> I am trying to run a simple screening experiment with some simulated
>> data.
>>
>> 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).
>>
>> So,
>>
>> 1) How do I do the anova based on the setup above?
>>
>> and
>>
>> 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@stat.math.ethz.ch 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.
>
> Petr Pikal
> [EMAIL PROTECTED]
>
> ______________________________________________
> R-help@stat.math.ethz.ch 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.
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