Also
   coef(mylm) where you can deal with coef(mylm) [1], coef(mylm)[2]...
And
   plot(y~x, data=mydf)
   curve(coef(mylm)[1]+coef(mylm)[2]*x)
could produce interesiting visual results
:-)

milton

On Thu, May 14, 2009 at 2:30 PM, Dieter Wirz <didi.wirz@gmail.com> wrote:

> Thanks Bert and Luc!
> Sometimes the solution is close, but I did not find it....
> I always tried mylm$Coefficients... Stupid /me.
> -didi
>
> BTW: many thanks to all developers of R. IMHO R is one of the most
> outstanding free projects!
>
>
> On Thu, May 14, 2009 at 7:07 PM, Bert Gunter <gunter.berton@gene.com>
> wrote:
> >
> > -- but it is preferable to use the appropriate access functions:
> >
> > coef(mylm)
> >
> > ?coef
> >
> > Bert Gunter
> > Nonclinical Biostatistics
> > 467-7374
> >
> >
> > ## Now, what I believe you're looking for ;
> >
> > mylm$coefficients ;
> >
> >
> > Cheers,
> >
> > --
> > *Luc Villandré*
> > /Biostatistician
> > McGill University Health Center -
> > Montreal Children's Hospital Research Institute/
> >
> > ______________________________________________
> > R-help@r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> > and provide commented, minimal, self-contained, reproducible code.
> >
> >
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>

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