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kevinbu
Calcite | Level 5

Hello, I am using SAS Studio Release 3.81.

I'm learning basic SAS procedures for the first time. One of the methods is Two-Way ANOVA and now checking the model.

 

For running the Two-Way ANOVA I use this code:

proc anova data=athlete;
	class lifestyle sex;
	model systolic diastolic = lifestyle sex lifestyle*sex;
	means lifestyle sex / duncan lines;
run;

This particular model has two different responses, and this code gives me the ANOVA for each of the models.

 

For model diagnostics, the book I'm using recommends this procedure:

proc glm data=athlete;
	class lifestyle sex;
	model systolic = lifestyle sex lifestyle*sex;
	output out=systolic p=yhat student=resid;
title1 'Two-Way ANOVAs for Lifestyle BP Study';
run;

proc gplot data=systolic;
	plot resid*yhat / vref = 0;
	title2 'Resid vs Y-hat';
	
	plot resid*lifestyle / vref = 0;
	title2 'Resid vs Lifestyle';
	
	plot resid*sex / vref = 0;
	title2 'Resid vs Sex';
run;

proc univariate data = systolic normal;
	var resid;
	probplot resid / normal (mu = est sigma = est) square;
	title2 'Normal Test of Residuals';
run;

I would then have to run this again for the diastolic response. The issue I'm having is that I can only run the diagnostics for one response at a time. The proc glm step only outputs one set of predicted yhat and residuals for the first predictor listed. Is there a way to output the predicted values and residuals for each response variable in the proc glm?

1 ACCEPTED SOLUTION

Accepted Solutions
Ksharp
Super User

You want this ?

proc glm data=sashelp.heart;
	class status sex;
	model systolic diastolic = status|sex;
	output out=want p=yhat yhat2 student=resid resid2;
quit;

View solution in original post

2 REPLIES 2
Ksharp
Super User

You want this ?

proc glm data=sashelp.heart;
	class status sex;
	model systolic diastolic = status|sex;
	output out=want p=yhat yhat2 student=resid resid2;
quit;
kevinbu
Calcite | Level 5

Yes, thank you that works!

 

In case anyone after me is curious, I found an example of this in the documentation.

 

https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.3/statug/statug_glm_details65.htm

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