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Scripting Guide - SAS

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326 <strong>Scripting</strong> Platforms Chapter 10<br />

Additional Notes<br />

• 1, 2, and so on, for regular effects<br />

• n+1 for the “Whole Model” test, where n is the number of effects not including the intercept<br />

Each effect in each response function supports these, where each row of the matrix has coefficients for all<br />

the levels in the effect:<br />

Test Details( 1 ),<br />

Centroid Plot( 1 ),<br />

Save Canonical Scores,<br />

Contrast( matrix, )<br />

Here is a test script that works on the Dogs data table:<br />

manObj = Fit Model(<br />

Y( logHist0, logHist1, logHist3, logHist5 ),<br />

Effects( dep1, drug, drug * dep1 ),<br />

Personality( MANOVA ),<br />

Run Model<br />

);<br />

manObj

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