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Using SAS Choose Design ANOVA Compare Means Regression Examples

Randomized Complete Block Design
Single Factor

Start     7a of 10

8 A. Perform analysis using a DAWG example (from Step 2)

The purpose of this page is to give you two SAS statements that will perform the statistical analysis using one of the DAWG datasets.

 Based on the specialized features for the example dataset you downloaded, click in the gray table below left to obtain the two %MMAOV statements that you will copy into the Editor Window.


Statements customized
for the example datasets
  Specialized Features
  Replication & Sampling
  Replication & Covariate
  Sampling & Covariate
  Replication, Sampling &    Covariate


What is?



See the yellow table at right for definitions of specialized features.

Note: any of the popup pages linked to in gray or yellow tables on this page can be printed if you are working in Internet Explorer. In Firefox or other browsers, you may need to right-click on the Toolbar to customize it by adding the Print icon.

 In the SAS Editor Window, change the %INCLUDE statement so that the path and filename identify where you saved the macro.

View generic sample of what SAS Editor Window looks like now

 Run the program (click the Submit icon in SAS ).


next >> ( Step 8: Check Log Window )

  H I N T S :
  Remember to include quotes around your path designation (and no spaces in your path designation)
      in the
%INCLUDE statement.
  To see additional options for %MMAOV.
  If you have more than one dependent variable, run your SAS analysis for each. Simply copy the first
statement in the
SAS Editor Window, paste it beneath the first statement, and change the dependent     variable name. You may do a whole series of dependent variables in this way (changing the dependent variable name     each time). See an example
  Remember to end each statement line with a semicolon.

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