Hello,
I'm using the nls function and would like to increase the number of
iterations. According to the documentation as well as other postings on
R-help, I've tried to do this using the "control" argument:
nls(y ~ SSfpl(x, A, B, xmid, scal), data=my.data,
control=nls.control(maxiter=200))
but no matter how much I increase "maxiter", I get the following error
message:
Error in nls(y ~ cbind(1, 1/(1 + exp((xmid - x)/exp(lscal)))), data =
xy, :
number of iterations exceeded maximum of 50
The second line here suggests that the maximum number of iterations is
still 50, despite changing the "control" argument. Also, increasing
"maxiter" to something silly, like 50000, doesn't seem to increase the
process time, which made me a bit suspicious that I'm not giving the
right statement to the "control" argument. Or is the function indeed
using the increased number of "maxiter", while the error message remains
the same rather than reflecting the requested change to nls.control?
I should say that nls converges without increasing maxiter when I use
the full dataset, and it is only when I use a smaller subset that the
error occurs, possibly due to noisy data. But I would very much
appreciate if someone could clarify whether the error message is wrong
or if my statement to the "control" argument is wrong.
Thanks very much in advance,
Martin
--
Dr Martin Biuw
NERC Postdoctoral research fellow
Sea Mammal Research Unit
Gatty Marine Laboratory
University of St Andrews
St Andrews, Fife KY16 8LB
Scotland
Ph: +44-(0)1334-462677
Fax: +44-(0)1334-462632
www: http://www.smru.st-and.ac.uk
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