Re: [Rd] plot(lm): new behavior in R-2.2.0 alpha

2005-09-17 Thread John Maindonald
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

Re: [Rd] plot(lm): new behavior in R-2.2.0 alpha

2005-09-16 Thread Werner Stahel
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

Re: [Rd] plot(lm): new behavior in R-2.2.0 alpha

2005-09-16 Thread John Fox
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 . . .

Re: [Rd] plot(lm): new behavior in R-2.2.0 alpha

2005-09-14 Thread Martin Maechler
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

[Rd] plot(lm): new behavior in R-2.2.0 alpha

2005-09-13 Thread Martin Maechler
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

Re: [Rd] plot(lm): new behavior in R-2.2.0 alpha

2005-09-13 Thread John Fox
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