Dear John, I agree that component+residual (partial residual) plots, as produced by termplot(), should be examined, but these are distinct from added-variable (partial regression) plots.
Regards, John -------------------------------- John Fox Department of Sociology McMaster University Hamilton, Ontario Canada L8S 4M4 905-525-9140x23604 http://socserv.mcmaster.ca/jfox -------------------------------- > -----Original Message----- > From: John Maindonald [mailto:[EMAIL PROTECTED] > Sent: Friday, April 29, 2005 2:51 AM > To: John Fox > Cc: r-devel@stat.math.ethz.ch > Subject: Re: [Rd] Enhanced version of plot.lm() > > On 29 Apr 2005, at 10:08 AM, John Fox wrote: > > > Dear John > > > >> -----Original Message----- > >> From: John Maindonald [mailto:[EMAIL PROTECTED] > >> Sent: Thursday, April 28, 2005 6:47 PM > >> To: John Fox > >> Cc: 'Werner Stahel'; 'Peter Dalgaard'; > <r-devel@stat.math.ethz.ch>; > >> 'David Firth'; 'Martin Maechler' > >> Subject: Re: [Rd] Enhanced version of plot.lm() > >> > >> NB also the mention of a possible addition to stats: vif() > >> > >> Dear John - > >> I think users can cope with six plots offered by one > function, with > >> four of them given by default, and the two remaining plots > >> alternative ways of presenting the information in the > final default > >> plot. The idea of plot.lm() was to provide a set of plots > that would > >> serve most basic purposes. > > > > I rather like added-variable plots for examining influence and > > leverage on coefficients. > > I think that plots of this type are compulsory. termplot() > is a pretty good start. > > John M. > John Maindonald email: [EMAIL PROTECTED] > phone : +61 2 (6125)3473 fax : +61 2(6125)5549 > Centre for Bioinformation Science, Room 1194, John Dedman > Mathematical Sciences Building (Building 27) Australian > National University, Canberra ACT 0200. > ______________________________________________ R-devel@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-devel