Re: Surface fitting

[Jan-Peter Schümann]

On 23.02.2015 09:47, Markus Appel wrote:
> On 02/22/2015 09:14 PM, jlapin wrote:
> > Hello Everyone
> >
> > I am currently working in a Pchem lab and am trying to model
> > spectroscopy data. I have a 256 x 433 unit matrix of signal data.
> > Each signal is a function of a wavelength value and a time value.
> > So far I have used the functions "nonlin_curvefit" and "leasqr" to
> > fit the data one row(or column) at a time. Now I would like to fit
> > the entire surface to an equation that is a function of both time
> > and wavelength.
> >
> > The inputs of the function leasqr are leasqr(*x,y,pin,f*). Y will
> > be the 256x433 signal data, pin will be my initial parameter
> > guesses and f will be my function handle. The problem I am having
> > is the x vector(s) for independent values. This is a function of
> > both the wavelength and time variables.
> >
> > What can I put in for the x argument so that the leasqr function
> > fits the entire matrix?
> >
> > Thank you Joel
> >
> >
> >
> > -- View this message in context:
> > http://octave.1599824.n4.nabble.com/Surface-fitting-tp4668758.html
> > Sent from the Octave - General mailing list archive at Nabble.com.
> >
> > _______________________________________________ Help-octave mailing
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> > https://lists.gnu.org/mailman/listinfo/help-octave
> Hi Joel,
>
> the 'x' vector is not actually used for fitting and just handed
> through to your model function, so you are more or less free to put in
> what you want. Especially leasqr might check that the dimensions are
> equal to 'y' though, and complain if otherwise. nonlin_curvefit might
> be more flexible, but I cannot try it out right now.
>
> You can always wrap your model function before giving it to the
> fitting routines to use multiple independent variables:
> [...] = nonlin_curvefit( @(p,x) MyModel(p,lambda,t), pin, [], y);
> (Not sure if empty vector for 'x' works. If not, give 'y' again as an
> ugly trick ...)
>
> The other and probably cleaner possibility is to use nonlin_residmin,
> in that case you would need to calculate the residuals on your own:
> [...] = nonlin_residmin( @(p) (MyModel(p,lambda,t) - y).^2 ./
> errors.^2, pin);
>
> Hope it helps,
> Markus
>
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Hi, I am having a similar problem - and beyond.

I am trying to plot measured data in 3d. I do this via

trisurf(tri, xx, yy, epsa, 'facecolor', 'flat', 'edgecolor', 'none')

So far, so good, that works. Plot looks ok. What I finally want to 
achieve is I want to use it in pdflatex, where the font of the axis 
numbers and description are tyeset in pdflatex. I have tried the print 
options with the several machines available. '-dtikz' I do not dare to 
compile, it gives me 20.000 lines or 8MB of code. Since I will be using 
a couple of these graphs finally, this is not an option.

So I have been trying to have octave print a tex-like font for all text 
because I thought I'd print a pdf. That does not work. I have tried 
several Ideas from the net, including

zlabel('\epsilon [%]', 'FontName', 'Latin Modern Roman', 'FontSize', 10)
set(gca, 'FontName', 'Latin Modern Roman', 'FontSize', 10)

or

set(0,'DefaultTextFontname', 'CMU Serif')

or

set(0,'DefaultTextFontname', 'Latin Modern Roman')

and the like.

But even if the font would be ok, then I run into another problem: the 
facecolor is not flat when I print a pdf. It is kind of translucent, 
which makes the file big and the grid is large pixels all over.

I have also tried -dsvg. Aside from the translucence and the file size, 
that does give the desired output using pdf_tex export function of 
Inkscape.

I have come across the idea to reduce my datapoints. That is fine and I 
am doing that already but further reduction would make the graph look ugly.

I am running linux mint and octave 3.8.1.

Would Markus' solution above be of help there for me? If so, could you 
please explain it for beginners, please? I like the interpolation idea, 
it promises a smooth color gradient of the surface.

I would also be happy to learn about a solution in Gnuplot, as I do most 
of my plotting work like that. I have only found a way that would 
require data sorting using splot. Here, for me sorting the data is the 
issue.

Thanks for your help, J-P