Hi, Kristi- Here is an option. ?curve...to add the polynomials to your graph ?text....for adding the R2 to you plot Ken
On 06/13/12, Kristi Glover wrote: > > Hi R experts, > Could you please help me to fit a linear, cubic and quadratic curve in a > figure? I was trying to show all these three fitting curves with different > colour in one figure. > I spent substantial time to figure it out, but I could not. > > I have given here a example and what I did for linear, but no idea for cubic > and quadratic fitting curve > > > > dput(test) > structure(list(sp = c(4L, 5L, 9L, 12L, 14L), env = c(12L, 18L, > 20L, 17L, 15L)), .Names = c("sp", "env"), class = "data.frame", row.names = > c(NA, > -5L)) > > plot(test$sp~test$env, main = "S vs. temp", xlim=c(0,20), ylim=c(0,14), > > ylab="S",xlab="env") > > linear<-lm(test$sp~test$env) > > quadratic<-lm(test$sp~test$env+I(test$env^2)) > > #summary(quadratic) > > cubic<-lm(test$sp~test$env+I(test$env^2)+I(test$env^3)) > > #summary(cubic) > > #fitting curve > > abline(linear) > > > Here I did for linear, but now I don't how I can plot quadratic and cubic > line in the figure with different colour. I further wanted to put r2 value on > the top of the fitting line. > ON linear fitting curve, I can see the line originated from left to right > (cover whole x axis). I could not plot the line only within the data set. > Would any one help me to figure it? I think it is not difficult but for me- > it is really taking time. > > Thanks and waiting for your suggestions > > sincerely, > Kristi Glover > > > > > [[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. ______________________________________________ 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.