Hello, I am trying to do a nonlinear model using the "nls" command in R software. The data I am using is as follows:
A<-c(7.132000,8.668667,9.880667,8.168000,10.863333,10.381333,11.059333,7.589333,4.716667,4.268667,7.265333,10.309333,8.456667,13.359333,8.624000,13.571333,12.523333,4.084667 ,NaN,NaN) Pot<-c(21.700000,16.700000,16.400000,17.200000,17.833333,18.266667,18.966667,18.400000,19.100000,18.333333,16.333333,21.466667,7.033333,NaN,6.366667,6.700000,16.633333,15.666667 ,17.883333,NaN) When using the nls command I recieve an error like this: >mod = nls(A~ Amax * (1-exp(-b*Pot)),start=list(Amax=10,b=0.003)) / / Error in nls(A~ Amax * (1 - exp(-b * Pot), start = list(Amax = 10, : / step factor 0.000488281 reduced below 'minFactor' of 0.000976562 /I suppose that the used model is wrong, specialy Amax. I studied somewhere I should use "plinear" model but I did not know. If you can guide me, any advices would be realy appreciated. Thank you in advance,/ Best regards, Mitra RAHMATI/ [[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.