Note: See A Completely Randomized Design in the SAS/QC Sample Library.
An experimenter wants to study the effect of cutting speed (Speed
) on the surface finish of a component. He considers testing the components at five levels of cutting speed (100, 125, 150,
175, and 200) and decides to test five components at each level.
The design used is a single-factor completely randomized design with five levels and 25 runs. The following statements generate the required design:
proc factex; factors Speed / nlev=5; size design=25; output out=SurfaceExperiment randomize(713) Speed nvals=(100 125 150 175 200); run; proc print data=SurfaceExperiment; run;
The RANDOMIZE option in the OUTPUT statement randomizes the run order; the random seed, 713 here, is optional. The design
saved in the data set SurfaceExperiment
is displayed in Output 7.1.1.
Output 7.1.1: A Completely Randomized Design
If you are working through this example on your computer, you might find a different run order in your output. This is due to the difference in the seed value of the random number generator. You can specify a seed value with the RANDOMIZE option. For syntax, see Randomize Design.