[R] Marginal (type II) SS for powers of continuous variables in a linear model?
bhx2 at mevik.net
Tue Aug 12 16:29:12 CEST 2003
Prof Brian D Ripley <ripley at stats.ox.ac.uk> writes:
> On Tue, 12 Aug 2003, [iso-8859-1] Bjørn-Helge Mevik wrote:
>> Also, is this example (lm(y~x+I(x^2), Df)) really balanced? I think
> No, and I did not use summary,aov on it!
And I didn't say you did!
>> This gives the SSs R(x | A, B, A:B, x^2), R(x^2 | A, B, A:B, x) and
>> R(A:B | A, B, x, x^2). The SS for x is not marginal as defined
> But that *is* how `marginal' is usually defined.
> Why should I(x^2) be regarded as subservient to x?
In polynomial regression, it is usual to first consider a linear
model, then a quadratic, and so forth. The interesting tests are usually
then the effect of a power of x whith all lower degree terms of x in the
model. I thought it would be natural to treat polynomials of
continuous variables similarly in models with categorical variables as
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