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 âread.tableâ 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 Â
------------------------------------------------------------------------ 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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