BookmarkSubscribeRSS Feed
☑ This topic is solved. Need further help from the community? Please sign in and ask a new question.
palolix
Lapis Lazuli | Level 10
That was very helpful, thank you so much! So for an ANOVA model to check for the interactions between factors I could use catmod or proc logistic as well for ordinal or non-ordinal data. Both would be appropiate right?

Thanks!
Caroline
Ksharp
Super User
Yes. You could use PROC CATMOD to do ANOVA.
Use PROC CATMOD or PROC LOGISTIC to do logistic model (either ordinal or non-ordinal data.).
palolix
Lapis Lazuli | Level 10
Great, thank you so much for all your support, it has helped me a lot!
ShivanshuChobey
Calcite | Level 5
The syntax looks reasonable to me.

Thanks,
jiltao
SAS Super FREQ

No, I do not think treating Variety as the subject is appropriate. 

You do not seem to have repeated measures data. 

Are you saying that your dependent variable has values 1, 2 ,3, 4 or 5? Then you might fit a multinomial / ordinal regression model. But the excel file you sent seems to have a continuous response variable.

Thanks,

Jill

 

palolix
Lapis Lazuli | Level 10

Thank you so much for your feedback Jiltao.  So I will then use genmod as Ksharp suggested since I only have fixed variables. You are right, the var in the excel file is continious so I will use lognormal for that one, but most of my dependent variables are values from 0-3 or 1-5 with half values sometimes like 1.5. In that case I should then choose multinomial distribution right?

 

Thank you!

Caroline

sas-innovate-2026-white.png



April 27 – 30 | Gaylord Texan | Grapevine, Texas

Registration is open

Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!

Register now

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.

Discussion stats
  • 20 replies
  • 6781 views
  • 4 likes
  • 4 in conversation