Perhaps —
F = openfig('test_combine.fig');
Lines = findobj(F,'Type','line');
for k = 1:numel(Lines)
x{k} = Lines(k).XData;
y{k} = Lines(k).YData;
nlLine(k) = numel(x{k});
end
nlLine
ymtx = [y{1}; y{2}];
aymean = mean(ymtx);
gymean = geomean(ymtx);
plot(x{1}, aymean, '-k', 'DisplayName','Arithmetic Mean')
plot(x{1}, gymean, '--k', 'DisplayName','Geometric Mean')
legend('Location','best')
EDIT — (24 Jul 2023 at 15:51)
For a weighted mean, you would have to supply a (2x1) weighting vector and then multiply each row of ‘ymtx’ (in my code) by the appropriate weight scalar. To weight the elements of each vector, provide a weighting vector and then use element-wise multiplication (.* instead of *).
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