Thanks Jean. Y1 = observed value Y2= estimated value Elaine
On Mon, May 6, 2013 at 9:22 PM, Adams, Jean <jvad...@usgs.gov> wrote: > Elaine, > > I suggest that you consult with a statistician to see if it even makes > sense to compare the two models you describe. The first model makes sense > to me, the second one does not. Isn't y2 in the second equation equal to > the estimated y1 from the first equation? You need to talk with someone > about what you have, where it came from, and what questions you are trying > to answer. > > Jean > > > On Fri, May 3, 2013 at 6:08 PM, Elaine Kuo <elaine.kuo...@gmail.com>wrote: > >> Hello , >> >> I want to compare two quadratic regression models with non-parametric >> bootstrap. >> However, I do not know which R package can serve the purpose, >> such as boot, rms, or bootstrap, DeltaR. >> Please kindly advise and thank you. >> >> Elaine >> >> The two quadratic regression models are >> >> y1=a1x^2+b1x+c1 >> >> y1= observed migration distance of butterflies() >> >> y2=a2x^2+b2x+c2 >> >> y2= predicted migration distance of butterflies (based on body mass) >> >> x= body mass of butterflies >> >> >> null hypothesis: a1=a2 and b1=b2 and c1=c2 >> >> bootstrap to test if the coeffients (a, b, c) of the y1 and the y2 model >> differ >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> 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. >> > > [[alternative HTML version deleted]] ______________________________________________ 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.
