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Recovering Information in Augmented Designs, Using SAS PROC GLM and PROC Mixed
Author(s) -
Wolfinger Russell,
Federer Walter T.,
CorderoBrana Olga
Publication year - 1997
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj1997.00021962008900060002x
Subject(s) - blocking (statistics) , class (philosophy) , statistics , computer science , mixed model , mathematics , econometrics , data mining , artificial intelligence
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 interblocking 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.