```Date: Fri, 7 Nov 2008 10:06:25 -0500 Reply-To: joey m Sender: "SAS(r) Discussion" From: joey m Subject: how-to-do question Content-Type: text/plain; charset=ISO-8859-1 Hi: I would like to make a Shapiro-Wilk test and then, if significant, make a transfrmation on my data. But, if Shapiro is not significant I would like to make a homogeneity of variance test. I can do that easyly in an interactive mode, but how can I do it in a batch mode? I would like to figure out a way SAS can take the probability of Shapiro-W (out of the proc univariate output) and decide whether to go to my code to make the transformation or go to my code for homogeneity of var. Thanks a lot. PS. I added the code I am playing with. * data* raw; input Group A B Y @@; datalines; 1 1 1 86 1 1 2 41 1 2 1 50 1 2 2 56 1 3 1 39 1 3 2 35 2 1 1 30 2 1 2 25 2 2 1 36 2 2 2 28 2 3 1 33 2 3 2 30 3 1 1 32 3 1 2 24 3 2 1 31 3 2 2 27 3 3 1 15 3 3 2 19 4 1 1 30 4 1 2 45 4 2 1 35 4 2 2 30 4 3 1 17 4 3 2 18 ; /* RUN ANOVA ON RAW DATA & SAVE RESIDUALS */ * proc* *mixed* data=raw; class group; model Y = group / outpred=residuals; * run*; * proc* *univariate* data=residuals normal plot; var RESID; output out=normal normal=SW probn=probSW; * run*; * * /* IF SHAPIRO IS SIGNIFICANT (i.e. le 0.001, NOT NORMAL), MAKE SQ-ROOT TRANSFORMATION */ * data* transf; set raw; newY=sqrt(abs(y)); * run*; /* ELSE -IF SHAPIRO IS NOT SIGNIFICANT (i.e. gt 0.001, NORMAL), TEST HOMOGENEITY ON RAW DATA */ * proc* *glm* data=raw; class GROUP; model Y=GROUP; means GROUP /hovtest; * run*; ```

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