I have a dataset with three factors that each have two levels. I would like to run the full model:
and use the Wald test for significance, but I am having trouble interpreting the results.
I understand from the manual section 3.3 that for a standard model matrix (and since my factors only have two levels, I believe this is correct), if I had two factors factorA and factorB, I would use the following code to extract results:
to get the effect of factor A for the reference level of factorB.
My first question is, if I have three factors, would the same code give me the effect of factorA for the reference levels of both factorB and factorC?
If this is true, how do I get the effect of factorA on the other combinations of levels of factorB and factorC?
I understand that to get the effect of factor A in the other level of factorB for two factors, I should use the following:
If , in my three factor model, this is giving me the effect of factor A on factor B level 2 and factor C level 1, how do I get the effect of factorA on factor B level2 and factor C level 2?
Or, is there a better way to get the main effects when I have a three factor model?
Thanks for any help!
Northeastern University Marine Science Center