On Jan 2, 2013, at 10:09 PM, Bert Gunter wrote:

Below ...

-- Bert

On Wed, Jan 2, 2013 at 9:54 PM, David Winsemius <dwinsem...@comcast.net > wrote:
...

Search on "orthogonal polynomials".

Yes, but this does not explain what these have to do with ordered factors and contrasts in a linear model. That information is contained in "An Introduction to R," the tutorial that ships with R and which the OP should have perused before posting. Detailed explanation beyond that is too technical for here, I would say.

The material in "Intro to R" is, I think all will agree, rather sketchy. I think this strategy will be more productive:

http://lmgtfy.com/?q=%22orthogonal+polynomials%22+linear+models

Second link was:

www.stats.ox.ac.uk/pub/StatMeth/Linear2_04.pdf

--
David.


-- Bert




Note that my question is not on lm (I think), but rather on how lm
outputs the results of regressions involving ordered predictors. Some
references would be great.

Please post responses to this mailing list.


As always.

Thanks very much again for all your help!


--


David Winsemius, MD
Alameda, CA, USA

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--

Bert Gunter
Genentech Nonclinical Biostatistics

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David Winsemius, MD
Alameda, CA, USA

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