Hi Steven,
I understand that you want to calculate the value of the variable “diffMinChange” after fitting both the datasets.
You can use the while loop implementation as shown below:
% Set initial values for loop control
diffMinChangeCondition1 = false;
diffMinChangeCondition2 = false;
% Define first fittype
ft1 = fittype(...); % Your first fittype definition
% Define second fittype
ft2 = fittype(...); % Your second fittype definition
% Loop until 'DiffMinChange' is satisfied for both fits
while ~ (diffMinChangeCondition1 && diffMinChangeCondition2)
% Call first fitting function and save the optimized parameter values,
[fit_result1, gof1, fit_info1] = fit(xdata1, ydata1, ft1, 'problem', optInfo1.const_vals,...
'Lower', optInfo1.lower_bound, 'Upper', optInfo1.upper_bound, 'DiffMinChange', optInfo1.min_diff);
% Call second fitting function and save the optimized parameter values,
[fit_result2, gof2, fit_info2] = fit(xdata2, ydata2, ft2, 'problem', optInfo2.const_vals,...
'Lower', optInfo2.lower_bound, 'Upper', optInfo2.upper_bound, 'DiffMinChange', optInfo2.min_diff);
% Check if DiffMinChange condition is satisfied for both fits
diffMinChangeCondition1 = fit_info1.DiffMinChange < optInfo1.min_diff;
diffMinChangeCondition2 = fit_info2.DiffMinChange < optInfo2.min_diff;
end
This is one of the ways of doing it. Feel free to modify the code according to your needs. Hope it helps!
