The following statements are available in the GLM procedure:
PROC GLM <options>;
CLASS variable <(REF= option)> …<variable <(REF= option)>> </ global-options>;
MODEL dependent-variables = independent-effects </ options>;
ABSORB variables;
BY variables;
CODE <options>;
FREQ variable;
ID variables;
WEIGHT variable;
CONTRAST ’label’ effect values <…effect values> </ options>;
ESTIMATE ’label’ effect values <…effect values> </ options>;
LSMEANS effects </ options>;
MANOVA <test-options> </ detail-options>;
MEANS effects </ options>;
OUTPUT <OUT=SAS-data-set> keyword=names <…keyword=names> </ option> ;
RANDOM effects </ options>;
REPEATED factor-specification </ options>;
STORE <OUT=>item-store-name </ LABEL='label'>;
TEST <H=effects> E=effect </ options>;
Although there are numerous statements and options available in PROC GLM, many applications use only a few of them. Often you can find the features you need by looking at an example or by quickly scanning through this section.
To use PROC GLM, the PROC GLM and MODEL statements are required. You can specify only one MODEL statement (in contrast to the REG procedure, for example, which allows several MODEL statements in the same PROC REG run). If your model contains classification effects, the classification variables must be listed in a CLASS statement, and the CLASS statement must appear before the MODEL statement. In addition, if you use a CONTRAST statement in combination with a MANOVA , RANDOM , REPEATED , or TEST statement, the CONTRAST statement must be entered first in order for the contrast to be included in the MANOVA , RANDOM , REPEATED , or TEST analysis.
Table 46.2 summarizes the positional requirements for the statements in the GLM procedure.
Table 46.2: Positional Requirements for PROC GLM Statements
Statement |
Must Precede… |
Must Follow… |
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First RUN statement |
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First RUN statement |
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MODEL statement |
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MODEL statement |
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or RANDOM statement |
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MODEL statement |
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First RUN statement |
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First RUN statement |
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MODEL statement |
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CONTRAST or |
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MODEL statement |
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MODEL statement |
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CLASS statement |
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statement |
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MODEL statement |
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CONTRAST or |
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MODEL statement |
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or TEST statement |
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MANOVA or |
MODEL statement |
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REPEATED statement |
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First RUN statement |
Table 46.3 summarizes the function of each statement (other than the PROC statement) in the GLM procedure.
Table 46.3: Statements in the GLM Procedure
Statement |
Description |
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Absorbs classification effects in a model |
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Specifies variables to define subgroups for the analysis |
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Declares classification variables |
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Requests that the procedure write SAS DATA step code to a file or catalog entry for computing predicted values according to the fitted model |
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Constructs and tests linear functions of the parameters |
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Estimates linear functions of the parameters |
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Specifies a frequency variable |
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Identifies observations on output |
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Computes least squares (marginal) means |
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Performs a multivariate analysis of variance |
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Computes and optionally compares arithmetic means |
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Defines the model to be fit |
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Requests an output data set containing diagnostics for each observation |
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Declares certain effects to be random and computes expected mean squares |
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Performs multivariate and univariate repeated measures analysis of variance |
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Requests that the procedure save the context and results of the statistical analysis into an item store |
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Constructs tests that use the sums of squares for effects and the error term you specify |
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Specifies a variable for weighting observations |
The rest of this section provides detailed syntax information for each of these statements, beginning with the PROC GLM statement. The remaining statements are covered in alphabetical order.
The STORE and CODE statements are also used by many other procedures. A summary description of functionality and syntax for these statements is also shown after the PROC GLM statement in alphabetical order, but you can find full documentation about them in the section STORE Statement in Chapter 19: Shared Concepts and Topics.