Dears lmers!

 

I have a field experiment with a split plot design. I have blocks in three different types of shurblands. In each shurbland-plot I set up two sub-plots, with two types of cover vegetation (open and close) and in each sub plot I sowed 20 seeds of a species of tree. So, I have two fixed factors: shurbland and cover, and one random factor block/shrubland. The following is my model:   

 

modela<-lmer(cbind(success, failures) ~ shrubland* cover+ (1 | block/shrubland), family="binomial", data=Tod07)

 

I want to know if someone can explain or indicate me how to make the contrasts or comparisons for the three levels in the shurbland factor?

 

thanks, marcela





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