The MIANALYZE Procedure
- Overview
- Getting Started
-
Syntax
-
Details
-
Examples
Reading Means and Standard Errors from Variables in a DATA= Data Set Reading Means and Covariance Matrices from a DATA= COV Data Set Reading Regression Results from a DATA= EST Data Set Reading Mixed Model Results from PARMS= and COVB= Data Sets Reading Generalized Linear Model Results Reading GLM Results from PARMS= and XPXI= Data Sets Reading Logistic Model Results from PARMS= and COVB= Data Sets Reading Mixed Model Results with Classification Variables Using a TEST statement Combining Correlation Coefficients
- References
| CLASS Statement |
The CLASS statement specifies the classification variables in the MODELEFFECTS statement. Classification variables can be either character or numeric. Classification levels are determined from the formatted values of the classification variables. See "The FORMAT Procedure" in the Base SAS Procedures Guide for details.