Hi,
I have some data on the effect of cycle shape (categorical) and
frequency (continuous) on the efficiency of muscle contraction. My
minimum adequate model is:
m15<-glm(efficiency~cycle.shape*freq, family=quasipoisson)
However, I wish to know where significant differences lie between
specific combinations of treatments. I guess I want an equivalent of a
post hoc test following an ANOVA. Is there a way of doing this for 2
explanatory variables with an interaction between them and the above
error structure.
Mnay thanks,
Natalie
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