Hi Professor Howell,
I think the issue here is simply in the assumption that the regression
coefficients will always be equal to the product of the means and the
contrast codes. I tend to think of regression coefficients as the
quotient of the covariance of x and y divided by the variance of x,
These two resources might also help:
http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf
http://cran.r-project.org/web/packages/contrast/vignettes/contrast.pdf
Max
On Thu, Sep 30, 2010 at 1:33 PM, Ista Zahn iz...@psych.rochester.edu wrote:
Hi Professor Howell,
I think the issue here
On 09/30/2010 08:31 PM, Max Kuhn wrote:
These two resources might also help:
http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf
http://cran.r-project.org/web/packages/contrast/vignettes/contrast.pdf
Max
They're a tad long though. Let me try and say it shorter:
Contrast
#I am trying to understand how R fits models for contrasts in a
#simple one-way anova. This is an example, I am not stupid enough to want
#to simultaneously apply all of these contrasts to real data. With a few
#exceptions, the tests that I would compute by hand (or by other software)
#will give
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