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Ksharp
Super User

1)

I think you want this ?

data operate;
input Hospital Treatment $ Severity  wt @@;
datalines;
1 a  1 23 1 a 2 7 1 a 3 2
1 b  1 23 1 b 2 10 1 b 3 5
1 c  1 20 1 c 2 13 1 c 3 5
1 d  1 24 1 d 2 10 1 d 3 6
2 a  1 18 2 a 2 6 2 a 3 1
2 b  1 18 2 b 2 6 2 b 3 2
2 c  1 13 2 c 2 13 2 c 3 2
2 d  1 9 2 d 2 15 2 d 3 2
3 a  1 8 3 a 2 6 3 a 3 3
3 b  1 12 3 b 2 4 3 b 3 4
3 c  1 11 3 c 2 6 3 c 3 2
3 d  1 7 3 d 2 7 3 d 3 4
4 a  1 12 4 a 2 9 4 a 3 1
4 b  1 15 4 b 2 3 4 b 3 2
4 c  1 14 4 c 2 8 4 c 3 3
4 d  1 13 4 d 2 6 4 d 3 4
;

proc catmod data=operate order=data ;
weight wt;
response mean;
model Severity=Treatment|Hospital ;
quit;


Ksharp_0-1724292625434.png

 

 

If you want do multiple dimension of ANOVA ,you could use PROC GLM or GENMOD, since ANOVA is under framework of General Linear Model.

If you are talking about non-parameter version of multiple dimension of ANOVA, I have no idea about it. You could try  @StatDave 's method.

 

2)

If there are no weight varible(a.k.a frequency of obs), you do not need WEIGHT statement.

palolix
Lapis Lazuli | Level 10

Thank you very much for your feedback Ksharp! I tried StatDave approach. 

 

Thanks

Caroline

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

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