[R] How to do global curve fitting in R
bgunter.4567 at gmail.com
Wed Sep 9 18:16:54 CEST 2015
1. What models are you trying to fit? Details matter, and it is
impossible to give a good answer without specifics.
2. In general terms, to do this one combines all the data and allows
for "appropriate" changes in the model parameters for the different
groups. For example, different intercepts, rate constants, etc. This
is where the specifics matter.
3. This is really more a statistics than an R question, and you would
probably do better to pursue these issues either with a local
statistical resource or on a statistics site, like
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
-- Clifford Stoll
On Wed, Sep 9, 2015 at 9:04 AM, Jianling Fan <fanjianling at gmail.com> wrote:
> Hello all,
> I am trying to fit my data to a nls model. I have many sets of data
> and each can fit well for the curve. but I want to fit them at once by
> sharing 2 of 3 parameters of the model. I know it is a typical global
> curve fitting problem, but I don't know how to do it by R?
> Does anyone know any package for this??
> Thanks a lot!
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
More information about the R-help