I know what a geometric mean is, but I'm not sure about "geometric LS mean.". The term LS (for "least squares", correct?) suggests a predicted vs observed comparison, which makes me think there has to be a model.
Can you provide more detail on what you are trying to do, and how geometric LS mean would be understood?
Thank you for your response. I am supposes to create a summary table to compare one treatment group against the other treatment group. I have to calculate geometric least square means using the PROC MIXED...I got the required components and I am able to calculate them using Proc mixed.
Looking at the PROC MIXED documentation, I see that it offers a LSMEANS statement, which I understand is meant to accommodate unbalanced designs in the class variables. So how is the geometric attribute established?
I'm quite curious. Can you show the proc mixed code you used to satisfy your assignment?
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