> On Nov 14, 2017, at 5:13 AM, Fix Ace via R-help <r-help@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 
avaialble at the bottom of every posting from rhelp:

https://stat.ethz.ch/mailman/listinfo/r-help:



> however, I got the error message. Here are the example codes:
>> 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    levels replicate conditions1  43.1111         0         112  
>> 42.0942         1         113  57.8131         2         114  57.1726        
>>  3         115  77.8678         4         116  44.7578         5         117 
>>  69.5078         0         128  52.0581         1         129  40.0602       
>>   2         1210 45.5487         3         1211 43.6201         4         
>> 1212 60.4939         5         1213 64.1932         0         1314 53.4055   
>>       1         1315 59.6701         2         1316 52.6922         3        
>>  1317 53.8712         4         1318 60.2770         5         13> 
>> m.example.3=lmer(as.numeric(levels)~conditions+(conditions|replicate),data=example.3)Error:
>>  number of observations (=18) <= number of random effects (=18) for term 
>> (conditions | replicate); the random-effects parameters and the residual 
>> variance (o
 r scale parameter) are probably unidentifiable> 
> Could anyone help me figure out how to fix the issue? 
> Thank you very much for any inputs!
> Ace
> 
>       [[alternative HTML version deleted]]

Complete mess. If you haven't yet been advised to posting in plain text, then 
this should be your wakeup call. If you have, then why are you ignoring 
sensible advice?


> 
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.

David Winsemius
Alameda, CA, USA

'Any technology distinguishable from magic is insufficiently advanced.'   
-Gehm's Corollary to Clarke's Third Law

______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.

Reply via email to