I don't think this should give a memory problem. Maybe trying with a simpler model or cutting down the dataset will show that something is going wrong, by giving strange results instead of the error. Also try creating a column lfood and using that instead of log(food).
By being specific to macs, does that mean the code runs properly under Windows or other ? Ken On 29/11/2005, at 10:00 PM, [EMAIL PROTECTED] wrote: > > Date: Mon, 28 Nov 2005 08:27:27 -0500 > From: Alan Olav Bergland <[EMAIL PROTECTED]> > Subject: Re: [R-SIG-Mac] Memory error > To: stefano iacus <[EMAIL PROTECTED]> > Cc: [email protected] > Message-ID: <[EMAIL PROTECTED]> > Content-Type: text/plain; charset=US-ASCII; delsp=yes; format=flowed > > The data set is fairly big. > > Again, the model I was trying to run was: > lme(ovn~tlc+geno+log(food), clinal, random=~tlc+geno+log(food)|block/ > lat) > > where, > > "ovn" is a continuous, normal (length=999) > "tlc" is continuous, normal, definitely random > "food" could either be a factor with 6 levels or a numerical variable > (making it log(food) makes a more even distribution). Even though it > is an experimental treatment, I would like to treat it as random > because I am interested in the slope and its interaction with the > "geno" variable (although, note, there are no interactions in the > model above, as putting them in at this point would cause even more > problems) > "geno" is genotype, 12 total, 4 from each "lat." "geno" should > really be treated as random too, because they are random draws from > all genotypes in a population > "lat" is latitude, 3 total. Right now I'm treating it as fixed. > "block" is equivalent to replicate, 2 total. > > The experimental design was the following: > > 12 genotypes, from 3 latitudes, reared under 6 conditions, replicated > twice with ~15-20 individuals measured from each geno x food x block > interaction. Because individuals from each g x f x b were reared in > the same rearing chamber, they are not independent thus some grouping > structure is necessary. > > I appreciate your curiosity on this problem. I know, however, that > this forum is not the place to hack out statistical questions, but > this memory thing seemed specific to Macs. > > Cheers, > Alan _______________________________________________ R-SIG-Mac mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-mac
