Dear John,
this appears to be one of the cases where your algorithm is favourable over the
nlsLM one. The fitting is now a lot better with ssquared being lower compared
to any other fit method I was comparing to.
As I am relatively new to R, it still puzzles me that there are so many
package
to
noise. Any ideas on how to avoid fitting to the noise?
Regards
From: Berend Hasselman [b...@xs4all.nl]
Sent: 18 October 2012 17:45
To: Martin Hehn
Cc: r-help@R-project.org
Subject: Re: [R] Upper limit in nlsLM not working as expected
On 18-10-2012, a
Dear all,
I am using the nlsLM function to fit a Lorentzian function to my experimental
data.
The LM algorithm should allow to specify limits, but the upper limit appears
not to work as expected in my code.
The parameter 'w', which is peak width at half maximuim always hits the upper
limit if t
3 matches
Mail list logo