The rest of this section provides detailed syntax information for each of these statements, beginning with the PROC GLM statement. Details: GLM Procedure Statistical Assumptions for Using PROC GLM Specification of Effects Using PROC GLM Interactively Parameterization of PROC GLM Models Hypothesis Testing in PROC GLM Effect Size Measures for F
SAS has several procedures for analysis of variance models, including proc anova, proc glm, proc varcomp, and proc mixed. In this section, we are going to use a data file called school used in Categorical Data Analysis Using The SAS System , by M. Stokes, C. Davis and G. Koch. The data were collected on 200 high school students, with measurements on various tests, including science, math, reading and social studies. The following statements create the data set, perform a parallel-slopes analysis of covariance with PROC GLM, and compute Drug LS-means. glm, proc varcomp, and proc mixed. Overview: GLM Procedure. We mainly will use proc glm and proc mixed, which the SAS manual terms the “flagship” procedures for analysis of variance. Keyboard Shortcuts: - SAS Help Center: SAS Help Center ... ... RESOURCES requests that PROC GLM process the OM data set by each level of the LS-mean effect in question.

The STORE statement is also used by many other procedures. We mainly will use proc glm and proc mixed, which the SAS manual terms the “flagship” procedures for analysis of variance. requests confidence limits for the individual LS-means. The GLM Procedure. You can cause the PROC GLM step to create an output data set by adding a QUIT statement to the PROC REG step or by moving the ODS OUTPUT statement so that it follows the PROC GLM statement.

The remaining statements are covered in alphabetical order.

/* Proc Mixed does not have an out option in the lsmeans statement. We use the ss3 option to indicate that we are only interested in looking at the Type III sums of squares, which are the sums of squares that are appropriate for an unbalanced design. As with proc ttest, the class statement is used to indicate that prog is a categorical variable. Just as in the case of proc glm it is often very useful to look at the graph of the means in order to really understand the data.

statement is also used by many other procedures.
The following statements read the data into a SAS data set and then invoke PROC GLM to produce the analysis. We thank Professor Friendly for permission to adapt and distribute this page via our web site. If you specify the PDIFF option, confidence limits for differences between means are produced as well. For more details, see the entry for the OM option in this section.