standardized residuals (rstandard & plot.lm) (PR#8468)
Martin, I tend to think that points with hii = 1 are best omitted, as in almost all cases you already know about them. I've yet to hear of a better compromise. Incidentally, this is neither a case of the subject nor of 8367 which that subject line refers to. So 8367 was fixed. Brian
On Tue, 10 Jan 2006 maechler at stat.math.ethz.ch wrote:
"Heather" == Heather Turner <Heather.Turner at warwick.ac.uk>
on Tue, 10 Jan 2006 14:30:23 +0100 (CET) writes:
Heather> This bug is not quite fixed - the example from my
Heather> original report now = works using R-2.2.1, but
Heather> plot(Uniform, 6)
Heather> does not. The bug is due
.........
g <- hatval/(1 - hatval) # Potential division by zero here
plot(g, cook, xlim = c(0, max(g)), ylim = c(0, ymx),
..........
Heather> All other values of 'which' seem to work
Heather> fine. Sorry not to have checked this in the beta
Heather> version,
(indeed; that would have been useful)
Hmm, it's not clear what *should* be drawn in such a
case. Leaving away all the observations with h_ii = 1
seems a particularly bad idea, since these are the ones that
you'd definitely should remark.
OTOH, for h_ii = 1, the cook distance is 'NaN'
(or should that be changed; to "very large" instead ???)
and plot number 6 doesn't seem to make any sense to me
When 'which = 6' was proposed
[ on R-devel as well, last April,
http://tolstoy.newcastle.edu.au/R/devel/05/04/0595.html
ah, I see, by David Firth, from your place, so, Heather, can you
make sure he sees this e-mail ?
]
I actually had wondered a bit about it's general usefulness,..
---
But the example is useful anyway; I think that also plot
number 5, (R_i vs h_ii) does the wrong thing currently by just
leaving away all points for which h_ii = 1.
These really should be shown one or the other way!
Martin
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595