Re: [R] DOE in R
Check AlgDesign package from Bob Wheeler. vinod gullu wrote: > > Hello > I want to know that in R which library/package > supports Design of Experiments(I,D etc optimality or > conventional DOE) > Regards, > > > > > It's here! Your new message! > Get new email alerts with the free Yahoo! Toolbar. > > __ > 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. > > -- View this message in context: http://www.nabble.com/DOE-in-R-tf3471735.html#a9688614 Sent from the R help mailing list archive at Nabble.com. __ 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.
[R] DOE in R
Hello I want to know that in R which library/package supports Design of Experiments(I,D etc optimality or conventional DOE) Regards, It's here! Your new message! Get new email alerts with the free Yahoo! Toolbar. __ 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.
Re: [R] DOE in R
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. __ 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.
Re: [R] DOE in R
See ?aov ?lm something like lm(result~yourfactor1+yourfactor2+yourfactor3+yourfactor5, data=yourdataframe) 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.
[R] DOE in R
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.
