• Previous Page
  • |
  • Next Page
ID Statement
Previous Page | Next Page

The MIXED Procedure

  • Overview Procedure Overview
    Basic Features Notation for the Mixed Model PROC MIXED Contrasted with Other SAS Procedures
  • Getting Started Getting Started
    Clustered Data Example
  • Syntax Procedure Syntax
    PROC MIXED Statement BY Statement CLASS Statement CONTRAST Statement ESTIMATE Statement ID Statement LSMEANS Statement LSMESTIMATE Statement MODEL Statement PARMS Statement PRIOR Statement RANDOM Statement REPEATED Statement SLICE Statement STORE Statement WEIGHT Statement
  • Details Procedure Details
    Mixed Models Theory Parameterization of Mixed Models Residuals and Influence Diagnostics Default Output ODS Table Names ODS Graphics Computational Issues
  • Examples Procedure Examples
    Split-Plot Design Repeated Measures Plotting the Likelihood Known G and R Random Coefficients Line-Source Sprinkler Irrigation Influence in Heterogeneous Variance Model Influence Analysis for Repeated Measures Data Examining Individual Test Components Isotonic Contrasts for Ordered Mean Values
  • References
 
ID Statement
ID variables ;

The ID statement specifies which variables from the input data set are to be included in the OUTP= and OUTPM= data sets from the MODEL statement. If you do not specify an ID statement, then all variables are included in these data sets. Otherwise, only the variables you list in the ID statement are included. Specifying an ID statement with no variables prevents any variables from being included in these data sets.

Previous Page | Next Page | Top of Page
Copyright © SAS Institute Inc. All rights reserved.
  • Previous Page
  • |
  • Next Page
  • |
  • Top of Page