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Recovering Information in Augmented Designs, Using SAS PROC GLM and PROC Mixed

SAS Institute R52, SAS Campus Dr., Cary, NC27513
Warren Hall, Cornell Univ., Ithaca, NY 14853
Dep. of Mathematics and Statistics, American Univ., 4400 Massachusetts Ave. NW, Washington, DC 20016-8050

^* Corresponding author. (wtfl{at}cornell.edu).

The SAS GLM and MIXED procedures can be useful for experimenters desiring to analyze data from screening experiments using a member of the class of augmented experiment designs. Since application of the procedures is typically not straightforward for these designs, several programs of possible interest are described. We show how to recover interbiocking and intervariety information when the blocking and varieties are random effects, how to arrange varietal responses in descending order, and a number of other options.

Received for publication December 19, 1996.

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