Guillaume Brutel wrote: > In fact I want to test for the effects of multiple continuous and > categorical variables (with GLMs) which are nested in the factor levels > on a single continuous variable. Since the design is unbalanced, I > though I had to specify it in the glm formula. > > That didn't make me any wiser... What is the model and which hypotheses do you wish to test? > > Guillaume Brutel wrote: > > Sorry for possible cross posting but it seems that my previous > message was send as HTML and then scrubbed. > > > > Dear list members, > > > > I want to use a GLM with an unbalanced factor and continuous variables. > > My factor F has 12 unbalanced levels: > > > F=as.factor(c('A','B','C','C','C','C','D','D','D','D','D','D','E','E','E','E','E','E','F','G','G','H','I','I','J','J','J','K','L','L','L')) > > > >> summary(F) > >> > > A B C D E F G H I J K L > > 1 1 4 6 6 1 2 1 2 3 1 3 > > > > I thus want to code contrasts appropriatly. > > I have looked in R documentations and R-help archives without finding > the information for unbalanced designs. > > Any help will be very useful. > > Thanks you very much. > > Guillaume Brutel. > > > > > Er, in which sense do you mean "code contrasts"? There are some > ambiguities relating to the use of the term "contrasts", so it isn't > possible to tell what it is that you need. Please give an example of > what you want to do and explain why you think that it night come out > wrong when data are unbalanced. >
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