The PLAN Procedure |
All of the preceding examples involve designs with completely nested block structures, for which PROC PLAN was especially designed. However, by appropriate coordination of its facilities, a much wider class of designs can be accommodated. A Latin square design is based on experimental units that have a row-and-column block structure. The following example uses the CYCLIC option for a treatment factor tmts to generate a simple Latin square. Randomizing a Latin square design involves randomly permuting the row, column, and treatment values independently. In order to do this, use the RANDOM option in the OUTPUT statement of PROC PLAN. The example also uses factor-value-settings in the OUTPUT statement. The following statements produce Output 65.4.1:
title 'Latin Square Design'; proc plan seed=37430; factors Row=4 ordered Col=4 ordered / noprint; treatments Tmt=4 cyclic; output out=LatinSquare Row cvals=('Day 1' 'Day 2' 'Day 3' 'Day 4') random Col cvals=('Lab 1' 'Lab 2' 'Lab 3' 'Lab 4') random Tmt nvals=( 0 100 250 450) random; quit;
proc sort data=LatinSquare out=LatinSquare; by Row Col; proc transpose data= LatinSquare(rename=(Col=_NAME_)) out =tLatinSquare(drop=_NAME_); by Row; var Tmt; proc print data=tLatinSquare noobs; run;
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