LSMeans, still causing lots of people headaches [General Sta­tis­tics]

posted by ElMaestro  – Belgium?, 2019-02-03 18:39 (596 d 20:23 ago) – Posting: # 19851
Views: 2,641

Hellobi :-D,

and thanks for helping towards an understanding.

I am a bit confused, what is ln[T] in your terminology?
Is it individual measurements, or effects form the b-vector or is it the average on the ln scale?
And what is the starting point for this?

Also, residuals -once a linear model has been fit to the least squares criterion- sum to zero, right? I got confused when you went from step 4 to 5.

» The Model Residual is the variance for the difference of LSMeans between Ln[T] and Ln[R].

I would think it is the plain uncertainty for an (within-) effect estimate in the b vector when we talk crossovers. Multiply by two and you have the variance of the difference or something like that.

I could be wrong, but...

Best regards,

R's base package has 274 reserved words and operators, along with 1761 functions. I can use 18 of them (about 14 of them properly). I believe this makes me the Donald Trump of programming.

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