Hello,
I am trying to model a type II functional response of number of prey eaten
(Ne) against number supplied (No) with a non-linear least squares regression
(nls). I am using a modification of Holling's (1959) disc equation to
account for non-replacement of prey;
Ne=No{1-exp[a(bNe-T)]}
where a is the attack rate, b is the handling time, and T is the
experimental period.
My script is as follows;
model<-nls(Ne~No*(1-exp(a*(b*Ne-T))),start=list(a=1.2,b=0.015,T=24))
This returns the following error;
"Error in nlsModel(formula, mf, start, wts) : singular gradient matrix at
initial parameter estimates".
Can anyone please advise as to what I may be doing wrong? I have tried
modifying the parameter start points with no success.
Many thanks,
--
View this message in context:
http://r.789695.n4.nabble.com/NLS-Singular-Gradient-Error-tp2069029p2069029.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
[email protected] 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.