Scripting Guide - SAS

Chapter 10 Scripting Platforms 325
Additional Notes
result = a[j] + b[j]*xx + c[j]*xx^2 + d[j]*xx^3
Fit Model Effects
Effects in the model can be more than just a list of columns, and have a specialized syntax:
Effect( list of effects, list of effect macros, or both lists)
An effect can be a column name, a crossing of several column names with asterisk (*) notation, or nested
columns specified with subscript bracket ([ ]) notation. Additional effect options can appear after an
ampersand (&) character. Some examples:
A, // a column name alone is a main effect
A*B, // a crossed effect, interaction, or polynomial
A[B], // nested
A*B[C D], // crossed and nested
effect&Random, // a random effect
effect&LogVariance, // a variance model term
effect&RS,
// a response surface term
effect&Mixture, // for an effect participating in a mixture
effect&Excluded, // for an effect that with no model parameters
effect&Knotted, // for a knotted spline effect
Effect macros are:
Factorial( columns ), // for a full factorial design
Factorial2( columns ), // for up to 2nd-degree interactions only
Polynomial( columns ), // for a 2nd-degree polynomial only
To show the launch window and fit the model at the same time, include Run Model in the script. To show
the launch window but not immediately fit the model, use Add Script instead of Run Model.
Note: When you select Analyze > Fit Model in a data table that has a script named Model (or model), the
launch window is filled in based on the script.
Responses and Effects for MANOVA
To address an individual response function analysis, use a subscripted Response:
manovaObj