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Agronomy Journal Abstract -

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


This article in AJ

  1. Vol. 89 No. 6, p. 856-859
    Received: Dec 19, 1996

    * Corresponding author(s): wtfl@cornell.edu
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  1. Russell Wolfinger,
  2. Walter T. Federer  and
  3. Olga Cordero-Brana
  1. S AS Institute R52, SAS Campus Dr., Cary, NC27513
    W arren Hall, Cornell Univ., Ithaca, NY 14853
    D ep. of Mathematics and Statistics, American Univ., 4400 Massachusetts Ave. NW, Washington, DC 20016-8050



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.

Tech. Rep. BU-1378-M, Biometrics Unit, Cornell Univ., Ithaca, NY.

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