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Using SAS Choose Design ANOVA Compare Means Regression Examples

Completely Randomized Design
  
Single Factor

Start     7b of 10

7 B. Perform analysis using your data


The purpose of this page is to give you two SAS statements that will perform the statistical analysis on your dataset.

  Based on the specialized features of your experiment, click in the gray table below left to obtain the two %MMAOV statements. Paste these into the SAS Editor Window and modify them to match your dataset, as instructed by the popup window.


 

Statements customized
for the example datasets.
  Specialized Features
  Sampling
  Covariate
  Sampling & Covariate
   
  None

 

What is?

    Sampling
    Replication
    Covariate

    None
 

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.


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
    %MMAOV
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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