Proc GLM is not outputting ALL of intercepts

[Kamash]

Hi

I am using a code like the following;

proc glm data=Samp;
class ID;
MODEL Y= X /solution; 
run;quit;

SAS is outputting the Coefficient on X and also the intercept on the "last" ID, however it's not outputting the intercepts on other ID levels.

Does anyone know what may have caused this?

P.S ; Samp dataset is sorted by ID prior to running PROC GLM.Also SAS log does not show me any errors or warnings on the GLM procedure.

Thanks!

[stat_sas]

Use by ID to get the desired output.

proc glm data=Samp;

by ID;

MODEL Y= X /solution; 

run;quit;

[Kamash]

Thanks for your recommendation.

I was actually having a problem with ABSORB statement , so I thought I'd give the procedure a try with the CLASS statement, but it turned out it has a problem too.

So I was hoping if I can figure out why CLASS is not working then I can solve the other issue; becuase they could be interrelated.

[Reeza]

Do you mean parameter estimates? It works for me? Are you sure there's no warnings in your output.

What does the following generate:

title 'Unbalanced Two-Way Analysis of Variance';

data a;

   input drug disease @;

   do i=1 to 6;

      input y @;

      output;

   end;

   datalines;

1 1 42 44 36 13 19 22

1 2 33  . 26  . 33 21

1 3 31 -3  . 25 25 24

2 1 28  . 23 34 42 13

2 2  . 34 33 31  . 36

2 3  3 26 28 32  4 16

3 1  .  .  1 29  . 19

3 2  . 11  9  7  1 -6

3 3 21  1  .  9  3  .

4 1 24  .  9 22 -2 15

4 2 27 12 12 -5 16 15

4 3 22  7 25  5 12  .

;

proc glm;

   class drug ;

   model y=drug/solution;

run;quit;

[Kamash]

Correct Reeza, I meant parameter estimates. I ran your code. Beside the four Coefficients,

it only provided one Intercept.

[Reeza]

That is correct. The model is :

Y= Intercept + B1*(X=1) + B2(X=2) + B3(X=3)

What are you expecting?

[Kamash]

To my knowledge, the model should generate the individual fixed effects estimates ;iIntercepts vary person to person, however the coefficients remain the same.

[Reeza]

Then perhaps start from the beginning, with what you're trying to do statistically. I'd post it as a new question as this subject line isn't valid anymore. 

Please include as much description as you can, it helps to answer your question correctly the first time.

[Kamash]

Thanks Reeze, I agree with your comment.