Try this: DF$season <- relevel(DF$season, 'y') fit1 <- lm(Feed_Intake ~ weight + season + weight*season, data = DF)
On Mon, Jan 18, 2010 at 2:00 PM, Ashta <sewa...@gmail.com> wrote: > Hi all, > I am trying to interparete the result of the following output from lm; > > > fit1 =lm(Feed _Intake ~ weight + season + weight*season) > Season has three classes(x,y,z) > > Reults are > > Estimate (Intercept) 21.51559 > weight 2.13051 > factor(season)y 10.59739 > factor(season)z 1.30421 > weight:factor(season)y 10.1 > weight:factor(season)z 21.70288 > > My question are what is the estimate of season x? > > Could it be possible to change the output in the following way? > > factor(season)x > factor(season)y > weight:factor(season)x > weight:factor(season)y > > Thanks in adavance > > ______________________________________________ > 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. > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O ______________________________________________ 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.
