You can use the lmList function in the nlme package to do several seperate regressions, or use a model that allows for multiple intercepts. Possibly Xvalues ~ 0 + log(Qvalues)*Tfac or Xvalues ~ 0 + Tfac + log(Qvalues):Tfac (assuming Tfac is a factor).
On Tue, Oct 30, 2012 at 5:53 AM, Alex van der Spek <do...@xs4all.nl> wrote: > panel.lmline returns intercept and slope of y ~ x subsetted to the > combination of conditioning factors given to xyplot in lattice. > > for instance: > > xyplot(Xvalues ~ log(Qvalues)|Tfac, data = df7, panel = panel.lmline) > > > I am looking to find the equivalent formulation for lm() proper. If I do > this: > > lmcal <- lm(Xvalues ~ log(Qvalues):Tfac, data = df7) > > Only one value of the intercept is returned. It appears as all the > 'individual' intercepts are summed to form one overall intercept. > > Any help much appreciated! > > Regards, > Alex van der Spek > > ______________________________________________ > 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 > and provide commented, minimal, self-contained, reproducible code. -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.
