Resources

Example 3 for PROC HPMIXED

/****************************************************************/
/*          S A S   S A M P L E   L I B R A R Y                 */
/*                                                              */
/*    NAME: HPMEX3                                              */
/*   TITLE: Example 3 for PROC HPMIXED                          */
/*          Using PROC GLIMMIX for Further Analysis             */
/* PRODUCT: STAT                                                */
/*  SYSTEM: ALL                                                 */
/*    KEYS: Large problem, Glimmix procedure                    */
/*   PROCS: HPMIXED, GLIMMIX                                    */
/*    DATA:                                                     */
/*                                                              */
/* SUPPORT: Tianlin Wang                                        */
/*     REF: PROC HPMIXED, EXAMPLE 3.                            */
/*    MISC:                                                     */
/****************************************************************/
data Sim;
   keep Species Farm Animal Yield;
   array AnimalEffect{3000};
   array AnimalSpecies{3000};
   array AnimalFarm{3000};
   do i = 1 to 3000;
      AnimalEffect{i} = sqrt(4.0)*rannor(12345);
      AnimalSpecies{i} = 1 + int(5*ranuni(12345));
      AnimalFarm{i}    = 1 + int(10*ranuni(12345));
   end;
   do i = 1 to 40000;
      Animal  = 1 + int(3000*ranuni(12345));
      Species = AnimalSpecies{Animal};
      Farm    = AnimalFarm{Animal};
      Yield   = 1 + Species + int(Farm/2) + AnimalEffect{Animal}
                  + sqrt(8.0)*rannor(12345);
      output;
   end;
run;
proc hpmixed data=Sim;
   class Species Farm Animal;
   model Yield = Farm|Species;
   random Animal;
   test Species Species*Farm;
   ods output CovParms=HPMEstimate;
run;
ods graphics on;
proc glimmix data=Sim;
   class Species Farm Animal;
   model Yield = Farm|Species;
   random int/sub=Animal;
   parms /pdata=HPMEstimate hold=1,2 noiter;
   lsmeans Farm / pdiff=all plot=diffplot;
run;