Topics: Analyze repeated measures data using mixed models. Data in tall (stacked) format.
Category: Multivariate Methods
JMP features: Analyze > Fit Model.
Open One-Page Guide (PDF)
@volker_kraft I watched your video, read the guides, but I still have some questions. Please, could you help me?
1 - How does JMP know which is the repeated structure in the model when using the Standard Least Squares?
2 - Is there a difference in the analyses when I use the Standard Least Squares versus the Mixed model platform for a repeated measures design?
2 - I have a data which when using the Mixed Model my "subject" is Chemistry*Rep. However, I'm not able to cross them (Rep and Chemistry) and add it as a "subject". What could I do in this situation?
Thank you so much!
I am sorry that I found your question just by accident after a long time, for some reason I missed the notification.
Not sure if you are still in interested in an answer, but let me try:
re 1: This structure is given by the random effect attribute and the nesting.
re 2: The Mixed Model platform supports more covariance structures than Fit Model.
re 3: Not sure if I got your point, but could you use a new formula column with a product term instead of 'subject'?