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in this session were going to start playing with asramal this is a software to fit linear mixed models but can also fit linear models in order to do that well be analyzing some data this is a study on which we have a group of three treatments we have treatments a b and c from medical study each of those treatments was evaluated with 14 patients we have 14 doctors each of the doctors evaluated one patient that was assigned randomly to one of the treatments every doctor had seen a patient with treatment a b and c and every treatment has a presence on every doctor this is a typical randomized complete block design because everything is with everything and we can analyze that as a fixed effect with blocks as a fixed effect in this case doctor as a fix-a-phase or doctors as a random effect both of them have different consequences our main objective here is to find docHub differences between the treatments and evaluate those differences we can actually write the model in a more gener
