This example is taken from the section Graphics for LS-Mean Comparisons of Chapter 38, The GLIMMIX Procedure. The following statements create a SAS data set that contains measurements from an experiment that investigates how snapdragons grow in various soils:

   data plants;
      input Type $ @;
      do Block = 1 to 3;
         input StemLength @;
         output;
      end;
      datalines;
   Clarion   32.7 32.3 31.5
   
   ... more lines ...   

   ;

The following statements set the output style to STATISTICAL and run PROC GLIMMIX:

   ods listing style=statistical;
   ods graphics on;
   
   proc glimmix data=plants order=data plots=diffogram;
      class Block Type;
      model StemLength = Block Type;
      lsmeans Type;
   run;

The PLOTS=DIFFOGRAM option produces a diffogram, shown in Figure 21.10, that displays all of the pairwise least squares mean differences and indicates which are significant.

Figure 21.10 LS-Means Diffogram Using the STATISTICAL Style