12-08-2015 11:37 PM
I have data of an experiment on which I started working on for my own learning. The objective of the experiment is to investigate the effect of row spacing on grain moisture content that was measured in a 2x2 factorial (four replications) where each treatment (variety and row spacing) was measured weekly for grain moisture content till harvest.
I think the data/exp fits for repeated measure analysis? Following is the model:
Input variety$ row_spac Block Week_1 to Week_10;
proc glm data=moisture;
class variety row_spac;
model Week_1 to Week_10 = row_spac|variety;
repeated time 10;
lsmeans row_spac variety;
Please, suggest/comment advise on the sas model. I have tried running this model with some modifications but I do not get correct df (320-1). I must be making a mistake that I do not realize.Thank you.
03-31-2016 10:54 AM
Rpeated measures is suggested to use PROC MIXED procedure, see the example in the documentation-