Hi all,
I want to fit a 3D surface to my dataset using a gaussian function — however, some of my data is saturated and I would like to exclude DATA above a specific value in my fit without removing columns or rows from my data.
I do not have the Matlab Curve Fitting Toolbox. I understand the Curve Fitting Toolbox can exclude datapoints from the fit without having to remove full rows — this is what I'd like to do here. Rmmissing is not the solution I am looking for as it deletes full rows.
My current code works well when I leave the saturated data in:
[OUTPUT, ~, RESIDUALS, ~, ~, ~, ~] = lsqcurvefit(FIT_FUNCTION, GUESSES, XY, DATA, LWR_BND, UPR_BND, OPTS);
but when I change the saturated cells to NaN (i.e. DATA(DATA>1000) = NaN), I get the following error:
'Finite difference Jacobian at initial point contains Inf or NaN values. lsqcurvefit cannot continue.'
Is there a way to exclude data above a specific integer value from a 3D fit without deleting rows/columns from my data?
Is there another solution other than using lsqcurvefit that would work? I have been unable to resolve this so far.
Thank you in advance!
Below is what I am working with in terms of MATLAB version and toolboxes:
MATLAB Version 9.9 (R2020b)
Image Processing Toolbox Version 11.2 (R2020b)
Optimization Toolbox Version 9.0 (R2020b)
Signal Processing Toolbox Version 8.5 (R2020b)
EDIT: re-worded question for clarity based on two answers given up to now.
