You did not get any replies because this is largely off topic. Please
stop posting here and post to the r-sig-mixed-models list instead.

-- Bert

On Fri, Mar 1, 2013 at 9:33 AM, KAYIS Seyit Ali <s_a_ka...@yahoo.com> wrote:
> (Apologise for re-sending. I am re-sending in case subject name did not give 
> enough information. Any shared experience with lme is deeply appreciated)
>
> Dear all,
>
> I have data from the following experimental design and trying to fit a mixed 
> model with lme function according to following steps but struggling. Any help 
> is deeply appreciated.
>
> 1) Experimental design: I have 40 plants each of which has 4 clones. Each 
> clone planted to one of 4 blocks. Phenotypes were collected from each clone 
> for 3 consecutive years. I have genotypes of plants. I need to relate 
> phenotype to genotype.
>
> 2) I am reading data from a file with “read.table” function. Then grouping 
> data as: my.Data<-groupedData( phenotype ~ Block | PlantID, data = 
> as.data.frame( Data ) )
>
> 3) I want to fit Genotype + Year + Genotype:Year as fixed effect. Block + 
> PlantID + Block.PlantID as random effect.
>
> I feel my data grouping is incorrect as model fitting do not work properly.
>
> Any help regarding data grouping and model fitting is deeply appreciated.
>
> Kind Regards
>
> Seyit Ali
>
>
>
> ------------------------------------------------------------------------
> Dr. Seyit Ali KAYIS
> Selcuk University, Faculty of Agriculture
> Kampus/Konya, Turkey
>
>
>
> Tel: +90 332 223 2830 Mobile: +90 535 587 1139
>
>
> Greetings from Konya, Turkey
> http://www.ziraat.selcuk.edu.tr/skayis/
> ------------------------------------------------------------------------
>         [[alternative HTML version deleted]]
>
>
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>



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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