[Rd] Enhanced version of plot.lm()

[John Fox]

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:john.maindonald at anu.edu.au] 
> Sent: Friday, April 29, 2005 2:51 AM
> To: John Fox
> Cc: r-devel at 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:john.maindonald at anu.edu.au]
> >> Sent: Thursday, April 28, 2005 6:47 PM
> >> To: John Fox
> >> Cc: 'Werner Stahel'; 'Peter Dalgaard'; 
> <r-devel at 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: john.maindonald at anu.edu.au
> 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.
>