Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
- Multivariate Analysis
- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The GLMMOD Procedure
- constructs the design matrix for a general linear model; it essentially constitutes the model-building front end for the GLM procedure
- can be used in conjunction with other SAS/STAT software regression procedures or with SAS/IML software to obtain specialized analyses for general linear models that you cannot obtain with the GLM procedure
- produces a SAS data set containing the information regarding the association between model effects and design matrix columns
- produces a SAS data set containing the columns of the design matrix
- obtain separate designs for observations in groups
- uses ODS to create a SAS data set corresponding to any table
For further details see the SAS/STAT User's Guide:
The GLMMOD Procedure
( PDF | HTML )
Examples
Statistics and Operations Research Home Page | SAS/STAT Software
