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canagnostou
2012 Dec 14
1
Define a custom-built loss function and combine it with nls()
...e measured variables x and y:
x<-1:10
y<-c(0.3,0.7,0.9,1.3,2.0,2.4,3.3,3.8,5.0,5.8)
d<-data.frame(x,y)
Non-linear regression with inbuilt loss-function (sum of squared residuals):
nlmodel<-nls(y~a*x^b,data=d,start=list(a=1,b=0.1),trace=T)
Many thanks!!!
Christiana
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Christiana Anagnostou
*****************************************
Department of Evolutionary Ecology and Genetics
Zoological Institute
Christian-Albrechts-University of Kiel
Am Botanischen Garten 9
24118 Kiel
Germany
Tel: +49-431-8804145 (work)
Tel: +49-431-5709649 (home)
Fax: +49-431-8802403
Email: canagnostou@zoologie.u...