Look at the 'self-starting' functions for nls(), such as SSasymp(). Bill Dunlap TIBCO Software wdunlap tibco.com
On Wed, Mar 4, 2015 at 5:01 AM, Evans Otieno Ochiaga < evansochi...@aims.ac.za> wrote: > Hi to all, > > Is there a way we can fit a non linear model to a data using non linear > least square method without necessarily initialising the parameters of the > model. I find it hard to get the initial value of the parameter. Below is a > sample of the code I have. > > > > > > > *nachman<-nls(OARmedium$OCCUPANCY~1exp(-alpha*OARmedium$MEAN^beta),start=list(alpha=0.2,beta=0.1),data=OARmedium)summary(nachman)* > Thanks, > > > *Evans Ochiaga* > > *African Institute for Mathematical Sciences* > > *6 Melrose Road* > > *Muizenberg, South Africa* > > *Msc in Mathematical Sciences+27 84 61 69 183 * > > *"When I cannot understand my Father’s leading, And it seems to be but hard > and cruel fate, Still I hear that gentle whisper ever pleading, God is > working, God is faithful—Only wait."* > > [[alternative HTML version deleted]] > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
