Message/Author |
|
|
I'd like to constrain my first class to follow a linear trajectory, while allowing class 2 & 3 to have a cubic trajectory. What is the syntax for this? Right now I have: Analysis: type = mixture ; Model: %overall% i s q cu | t1@0 t2@1 t3@2 t4@3 t5@4; c ON x1 x2 x3; Thank you for your help. |
|
|
Model: %overall% i s q cu | t1@0 t2@,1 t3@,2 t4@,3 t5@,4; c ON x1 x2 x3; %c#1% [q@0 cu@0]; q@0 cu@0 I would also divide the time scores by 10 as shown above because the cubic scores may get large. |
|
|
In order to use the extra lines you listed, I need to add 'algorithm=integration' to the analysis step. When I do this, I receive a "memory" error. Is there a way to do this without numerical integration? Or do you have any recommendations for solving the memory error? Thank you. |
|
|
Numerical integration is required for this analysis if the outcome is categorical. You can try adding INTEGRATION=7; to the ANALYSIS command. |
|
|
"I would also divide the time scores by 10 as shown above because the cubic scores may get large." Would you mind explaining the reason for this? I was under the impression that the scales of the variables in a multiple regression were not important. Thank you. |
|
|
Scales affect the efficiency of the optimization algorithm. |
|
Back to top |