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
 


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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/
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