catalin roibu <catalinroibu <at> gmail.com> writes: > > Dear R users, > I don't know how to compute an exponential model like this: > proc=a*exp(b*cls), or proc=a*exp(b*cls)+c*exp(d*cls). Please help me to > solve this problem! > > Thank you! > > My data is:
This still doesn't make much sense/have much context, but I'll make some guesses. dat <- read.table(textConnection(" proc cls 0.5 452.616206 0.5 1 255.864021 1.0 1.5 150.885316 1.5 2 86.289600 2.0 2.5 56.321559 2.5 3 39.504444 3.0 3.5 25.570308 3.5 4 5.382726 4.0 "),header=TRUE) with(dat,plot(cls~proc)) I suspect that what you want to *fit* these models. n1 <- nls(cls~a*exp(b*proc),start=list(a=4,b=-0.01),data=dat) n2 <- nls(cls~SSbiexp(proc,a,logb,c,logd),data=dat) lines(dat$proc,predict(n1)) lines(dat$proc,predict(n2),col=2) ______________________________________________ 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.