I did a growth performance study in grower pigs using 4 different diets ( peas and enzymes were the two factors)and the data turned out to be non-normal. The experiment was arranged as an RCBD on factorial design. What distribution should I use...gamma or poisson? How would I identify the fit statistic? Can I get AIC, BIC values using glimmix or should I use proc mixed? How can I get the estimate values if I am using any of these distributions? Or should I take the estimate values from proc mixed? This is the code I have used: ods html; ods graphics on; proc glimmix data=Body_weight plot =(residualpanel studentpanel); class block pen peas enzymes Day; model weight = peas|enzymes|Day/dist=gamma link=log s; random Day/subject=Pen(peas enzymes) type=cs residual; lsmeans peas|enzymes|Day/slice=Day; run; ods graphics off; ods html close; I have attached the entire code with my data for further information. Please guide me. Thanks.
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