May be this: mydf<-read.table(stdin(), head=T, sep=",") Xvar,Yvar 0,1 2,0.9 5,0.5 7,0.1 10,0.01 mymodel<-loess(Yvar~Xvar, data=mydf)
plot(mymodel) mydf.new<-data.frame(cbind(Xvar=seq(from=0, to=10, by=0.1))) mydf.new$Yvar<-predict(mymodel, newdata=mydf.new) lines(Yvar~Xvar, data=mydf.new, lty=2) cheers milton On Wed, Sep 9, 2009 at 3:01 PM, milton ruser <milton.ru...@gmail.com> wrote: > Hi Bill, > > I am not sure what you want, but... > > mydf<-read.table(stdin(), head=T, sep=",") > Np,year > 96,2 > 91,5 > 89,7 > 85,10 > > plot(Np~year, data=mydf) > mymodel<-lm(Np~year, data=mydf) > abline(mymodel, col="red") > > bests > milton > > On Wed, Sep 9, 2009 at 2:27 PM, Bill Hyman <billhym...@yahoo.com> wrote: > >> My data look like: >> >> Np year >> 96 2 >> 91 5 >> 89 7 >> 85 10 >> >> >> >> ----- Original Message ---- >> From: Bill Hyman <billhym...@yahoo.com> >> To: r-help@r-project.org >> Sent: Wednesday, September 9, 2009 11:23:26 AM >> Subject: [R] fitting nonlinear model >> >> I only have 4 data points and want to fit a curve. It does not work in >> "modreg" due to too few data. Do you have any idea? Many thanks! >> >> ______________________________________________ >> 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. >> > > [[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.
