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2017 Nov 15
1
error message for function: lmer (from lme4 package)
Always cc the list, which I have done here. I am not a (free) private consultant, nor do I have all the answers. Based on what you sent me, which is not what you have previously posted, you failed to load the lme3 package. See ?library. As for the appropriateness of your modeling, you should do what David already suggested and post to the r-sig-mixed-models list instead. -- Bert Bert Gunter
2017 Nov 14
4
error message for function: lmer (from lme4 package)
Hi, David, Thank you very much for getting back to me! Sorry about the messy code example. I am re-posting here (including the error message): > example.3=data.frame(levels=as.numeric(XXX[,c(4)]),replicate=rep(c("0","1","2","3","4","5"),3),conditions=c(rep("11",6),rep("12",6),rep("13",6)))> example.3? ?
2017 Nov 14
2
error message for function: lmer (from lme4 package)
Dear R Community, My data have 3 conditions and each condition has 6 replicates. I am trying to fit my data for a linear mixed model using the lmer function from lme4 package to find the random effects of the replicates; however, I got the error message. Here are the example codes:
2017 Nov 16
0
error message for function: lmer (from lme4 package)
Hi, Bert, Thank you?very much for the comments and suggestions! Ace On Wednesday, November 15, 2017 10:44 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: Always cc the list, which I have done here. I am not a (free) private consultant, nor do I have all the answers. Based on what you sent me, which is not what you have previously posted, you failed to load the lme3 package. See
2017 Nov 14
0
error message for function: lmer (from lme4 package)
> On Nov 14, 2017, at 5:13 AM, Fix Ace via R-help <r-help at r-project.org> wrote: > > Dear R Community, > My data have 3 conditions and each condition has 6 replicates. I am trying to fit my data for a linear mixed model using the lmer function from lme4 package to find the random effects of the replicates; Better venue for this question might be SIG-mixed-models. See the link