Martin -
Thanks for your efforts in initiating and managing this
discussion.
As for the issue of deprecating the plot.lm() pictures in
the published books, surely this will have great benefits
for the authors. It will help them to sell the new editions
of their books that will in due course
Dear Martin, dear Johns
Thanks for including me into your discussion.
I am a strong supporter of Residuals vs. Hii
One remaining problem I'd like to address is the balanced AOV
situation, ...
In order to keep the plots consistent, I suggest to draw a
histogram. Other alternatives will or
Dear Werner,
-Original Message-
From: Werner Stahel [mailto:[EMAIL PROTECTED]
Sent: Friday, September 16, 2005 2:37 AM
To: Martin Maechler
Cc: R-devel@stat.math.ethz.ch; John Maindonald; Werner
Stahel; John Fox
Subject: Re: plot(lm): new behavior in R-2.2.0 alpha
. . .
Thank you, John, for
Dear
JohnF == John Fox [EMAIL PROTECTED]
on Tue, 13 Sep 2005 16:41:28 -0400 writes:
JohnF A couple of comments on the new plots (numbers 5 and 6):
JohnF Perhaps some more thought could be given to the
JohnF plotted contours for Cook's D (which are 0.5 and
As some of you R-devel readers may know, the plot() method for
lm objects is based in large parts on contributions by John
Maindonald, subsequently massaged by me and other R-core
members.
In the statistics litterature on applied regression, people have
had diverse oppinions on what (and how
Dear Martin,
A couple of comments on the new plots (numbers 5 and 6): Perhaps some more
thought could be given to the plotted contours for Cook's D (which are 0.5
and 1.0 in the example -- large Cook's Ds). A rule-of-thumb cut-off for this
example is 4/(n - p) = 4/(50 - 5) = 0.089, and the