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Using SAS Choose Design ANOVA Compare Means Regression Examples

Completely Randomized Design
  
Single Factor

Start     7c of 10

7 C. Perform analysis with transformation

You have already completed this module and are re-running your analysis because diagnostic problems were found with your dataset. (what does mean?)

  Modify your %MMAOV statement to include TRANSTYPE= and TRANSVALUE= as determined in Diagnostics G. Transformations


For example, for the CRD Single Factor with no specialized features (your statements may differ):

%INCLUDE 'c:\webguide\DANDA.sas';
%MMAOV(one, yvar, CLASS=trtA , FIXED=trtA, TRANSTYPE=log, TRANSVALUE=5);

Possible values for TRANSTYPE= are log, log10, sqrt, arcsinsqrt, power, or rank.

TRANSVALUE= a number explained in Diagnostics G. Transformations


 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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