R-beta: Re: {g}lm coefficients labeling etc. [was "R0.62.3 problems"]

[Jan Kutylowski]

Martin Maechler writes (about starring of p-values)

	It *is* the nineties, and the 'stars'  
	are a ``GRAPHICAL'' encoding of P-values, not more, not less.

	We have been using them in *real* data analysis (as opposed to teaching
	exercises) for five or more years now.
	If you fit many models with dozens of coefficients each,
	the *graphical* clues *are* valuable, believe it or not.

I was wondering about my own atawistic dislike of the idea of starring
the p-values/coefficients and discovered that it was respect for 
the marginality relations among the _terms_ in a model that caused my dislike.

	I see that there's a good reason not to have (doubtful) 
	P values at all;
	That's why vanilla S (as opposed to S-plus) never had P values in
	print.summary.lm(.)
	However, I think (pro statisticians and social scientists) 
	will want them often enough.

As a social scientist I may want to have them as an option, e.g. regression
model with little non-orthogonality and no categorical factors. I 
could also use the stars in teaching to illustrate how one my arrive 
at wrong expectations on the basis of starred 
p-values without model comparisons. 


A. Jan Kutylowski

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