This example is taken from the section Graphics for LS-Mean Comparisons in ChapterĀ 44: 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 Clinton 32.1 29.7 29.1 ... more lines ... ;
The following statements run PROC GLIMMIX:
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 FigureĀ 21.10, that displays all of the pairwise least squares mean differences and indicates which are significant.