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Posted 11-08-2022 02:59 PM
(970 views)
Hi all,
I have a proc mixed question. I have a model:
proc mixed data=tmp1.final;
class basic;
model acidity = temp temp*temp;
random basin;
run;
all of my variables are continuous apart from basin categorical. How do I get parameter estimates for this model? Specifically the parameter estimates for temp and temp*temp? I am familiar with how to do in proc glm using the solution statement:
proc glm data=tmp1.final;
class basin;
model acidity = basin temp temp*temp / solution;
random basin;
run;
But with proc mixed I cannot understand how to do this. Any help would be appreciate.
Also, when I have the model outputs, I have two additional question:
- how do assess the model for specific value of temp?
- how do I fit random slope and intercept? Do it just fit random linear slope or quadratic too?
Thanks always for helping!
2 REPLIES 2
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The SOLUTION option is available for PROC MIXED.
--
Paige Miller
Paige Miller
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thank you paige miller - I missed this but good to find now. and do you know how I evaluate models at specified temp and also fit random slopes?