Bert,
Can you provide an example how to pass the conditioned data set?
xyplot( x~y | z, data=mydata,
panel=function(...){
mod=lm(x~ y+w +q, data=??)
panel.lines(fitted(mod))
}
If I use mydata in place of ?? I get a global fit, not a fit for each level of
z, which is what I want.
Stephen B
-----Original Message-----
From: Bert Gunter [mailto:gunter.ber...@gene.com]
Sent: Tuesday, October 07, 2014 9:30 AM
To: Bond, Stephen
Cc: r-help@R-project.org
Subject: Re: [R] lattice add a fit
Fit your model in the panel function using lm and plot the fits using
?panel.points, ?panel.lines, etc.
-- Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge is
certainly not wisdom."
Clifford Stoll
On Tue, Oct 7, 2014 at 6:01 AM, Bond, Stephen <stephen.b...@cibc.com> wrote:
> What is the way to add an arbitrary fit from a model to a lattice
> conditioning plot ?
>
> For example
> xyplot(v1 ~v2 | v3,data=mydata,
> panel=function(...){
> panel.xyplot(...)
> panel.loess(...,col.line="red")
> }
> )
> Will add a loess smoother. Instead, I want to put a fit from lm (but
> not a simple straight line) and the fit has to be done for each panel
> separately, not one fit for the full data set, so sth like an lm equivalent
> of panel.locfit (there is no panel.lmfit) Thank you.
>
> Stephen B
>
>
> [[alternative HTML version deleted]]
>
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