Dear SAS Community,
I have a Latin Square Design with two factors (4 treatments and 5 depths). I am not sure if my code is correct, so I would greatly appreciate if I could get some feedback. Thank you!
proc glm;
class row col trt depth;
model lgRing=row col trt depth trt*depth;
lsmeans trt*depth / adjust=tukey lines;
contrast '1 v 2 when depth=1' trt 1 -1 0 0;
contrast '1 v 3 when depth=1' trt 1 0 -1 0;
contrast '1 v 4 when depth=1' trt 1 0 0 -1;
contrast '2 v 3 when depth=1' trt 0 1 -1 0;
contrast '2 v 4 when depth=1' trt 0 1 0 -1;
contrast '3 v 4 when depth=1' trt 0 0 1 -1;
run;
You may need to specialize some error terms here. This example in the GLM doc will get you started. PROC MIXED is a good alternative to GLM in these situations, too.
Thank you very much for your feedback StatsMan,
The example was very helpful. In my case I have a latin square split block design with depth as the strip factor.
I tried using proc mixed but I didn't get any F values. Any idea of what it is wrong?
proc mixed;
class row col trt depth;
model lgRing= row col trt col*trt row*col*trt depth row*depth col*depth trt*depth col*trt*depth row*col*trt*depth/ddfm=satterthwaite;
run;
Thanks a lot!
Posting your results and providing more detail about your data (replications, specifically) will help us diagnose the problem
Thank you StatsMan for your reply. I attached the SAS code I am using. I have four replications (blocks) per treatment. I have also attached a file of the map.
Thank you very much for your help!
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