Try this: [ 1 -1 -1 1 -1 1 1 -1]
This represents: ( (G1ME4-G1MnoE4) - (G1FE4-G1FnoE4) ) - ( (G2ME4-G2MnoE4) - (G2FE4-G2noE4) )
(G1ME4-G1MnoE4) = Diff between E4 and noE4 for Males in G1 (G1FE4-G1FnoE4) = Diff between E4 and noE4 for Females in G1 ( (G1ME4-G1MnoE4) - (G1FE4-G1FnoE4) ) - interaction between E4 and Gender for Group 1 ( (G2ME4-G2MnoE4) - (G2FE4-G2noE4) ) - interaction between E4 and Gender for Group 2
doug
(diagnosis)x(gender)x(apoe)
g1MaleE4 g1MalenoE4 g1FemaleE4 g1FemalenoE4 g2MaleE4 g2MalenoE4 g2FemaleE4 g2FemalenoE4
option 1 [1 1 -1 -1 0 0 0 0] [1 1 0 0 -1 -1 0 0] [1 1 0 0 0 0 -1 -1] /2
option 2 [1 1 1 1 -1 -1 -1 -1] [1 1 -1 -1 1 1 -1 -1] [1 -1 1 -1 1 -1 1 -1] /4
And really have no idea about the interections between factors. Could you tell me for example how to evaluate the diagnosis x gender interaction effect and the interaction among the three factors (diagnosis x gender x apoe).
Bests regards, Gabriel
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