I tried to visualize the predicted probabilities from the results of proc glimmix procedure using following codes. proc glimmix data method=laplace noclprint; class sex unemploy district; model death (event=last)= age sex unemploy index unemploy*index/cl dist=binary solution; random intercept /subject=district s cl type=vc; covtest/wald; store results; run; proc plm restore=results; effectplot slicefit (x=index sliceby=unemploy)/clm;run; The results showed the graph, but the problem is that since the coefficient of interaction is very tiny, so the graph doesn't show the difference. What codes should I add to set the ranges of the axis X and Y. For example, the default range was 0, 0.5, 1 and 1.5 for x, but I want to change these figures to 0, 0.05, 0.1, 0.15, 0.2. Thanks in advance.
... View more