(From original R-help, then R-core discussion;
this is potentially of interest to more people. MM)
JL> 2. meaningless P-values and stars by default in summary(glm())
TL> The default of stars is easily changed in a site-level profile,
TL> which can be given to students if you are worried about their minds
TL> being contaminated by stars. I'm going to do this on the
TL> installation here.
TL>
TL> Perhaps we should have an option to leave p-values off
summary.{lm,glm}?
KH> I thought we had this. print.coefmat() uses .Options$signif.stars
...
>>
PD> Note: *p-values*, not stars. Not a good idea, in my opinion.
nor in mine.
TL> I agree it's a bad idea to leave p-values off, but I still think
TL> it's reasonable to have *an option* to leave them off. Some
people
TL> don't like Wald tests in non-linear models (even in generalised
TL> linear ones), some don't like giving p-values for individual
TL> components of factors, other people believe in the likelihood
TL> principle and don't want p-values at all. This sort of
TL> customisation would presumably just be for teaching purposes.
Ok. Given the print.coefmat(.) interface,
it would be pretty easy to implement yet another option, let's say
options(show.coef.Pvalues = TRUE)
^^^^^^^^^^^^^^^^^
better name ??
If set to FALSE, it would not print P-values with print.summary.g?lm(.)
but it would print for print.anova
(Here we are talking about R 0.63,
where print.tabular is not used anymore, see
CRAN src/devel/R-devel.tar.gz)
Opinions?
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