Hi Peter, Thanks for your answer. I am still a bit confused- So that means that the calculation of the " R2" for my non-linear model is in fact the formula I used in my eample:
CompoundSS <- sum((dta$Compound - mean(dta$Compound))^2) R2 <- deviance(dta.nls)/CompoundSS R2 What's then the difference to the normally calculated R2 used for linear regression? To me it looks the same. -----Ursprüngliche Nachricht----- Von: peter dalgaard [mailto:[email protected]] Gesendet: Mittwoch, 30. September 2015 01:09 An: Michael Eisenring <[email protected]> Cc: [email protected] Betreff: Re: [R] Calculate Total CORRECTED SS for non linear regression > On 30 Sep 2015, at 02:08 , Michael Eisenring <[email protected]> wrote: > > Can anyone tell me how to calculate the Total Corrected SS in R and > how it can be implemented in my code? It is just sum((y-mean(y))^2). Beware that a fair amount of (somewhat silly) contention is going on in this area, though. In particular, the formula can give negative values, which is unfortunate if you try calling it "R^2". -pd -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: [email protected] Priv: [email protected] ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see 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.
