Prof Brian D Ripley <[EMAIL PROTECTED]> 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 >> above. > > But that *is* how `marginal' is usually defined. Ok. > 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 well. -- Bjørn-Helge Mevik ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
