Help using Base SAS procedures

ANOVA one observation

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Contributor
Posts: 35

ANOVA one observation

 I am conducting a two-factorial anova analysis with only one observation per cell. 

How can I run the proc glm statement? I will add an interaction term for the two factors: factor a* factor b; 

 

Proc glm data=mydata;

class factor1 factor2;

model y= factor1  factor2  factor1*factor2;  run;

 

I am currently getting having an issue and the error SS and MS is coming up as 0.00; 

I need to also break down the error SS into residual and interaction parts. 

 

Thanks

Contributor
Posts: 35

Re: ANOVA one observation

Posted in reply to sasnewbie12

How can I get sas to display the SS and MS for each factor in the ANOVA table? There is only the model and error information. 

 

Thanks

SAS Super FREQ
Posts: 4,243

Re: ANOVA one observation

Posted in reply to sasnewbie12

This sounds like a data problem. What do you mean by "one observation per cell"?

 

How many observations in the data set? How many observations in each factor?

You can count the observations in each factor and in all by using the following call to PROC FREQ:

 

proc freq data=mydata;
   tables factor1*factor2;
run;

 

 

 

Contributor
Posts: 35

Re: ANOVA one observation

Its not a data issue. This is a two factor design, and there are one observations within each factor combination. 

 

How can I get ANOVA to display the SS and MS for each effect? It only give me the full model and error effects. I tried using the test statement as follows:

 

Test h=[effect of interest] e=??? ;

 

I am not sure what to put in the error statement, I just want it with the default error of MSE(mean squared error). 

 

Thanks

Respected Advisor
Posts: 3,055

Re: ANOVA one observation

[ Edited ]
Posted in reply to sasnewbie12

Show us your output from PROC GLM. Show us the result of running PROC FREQ as suggested above by Rick.

 

Do not reply with words but not showing us your output. Show us both outputs. Not one of the two outputs requested, show us both.

--
Paige Miller
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