extend prediction bounds curves
3 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
hello, in this code curve fitted is extended for 500 steps beyond. I want the prediction bounds curves to be extend too. tks very much:
%% Fit: 'fit plot'.
[xData, yData] = prepareCurveData( [], EU );
% Set up fittype and options.
ft = fittype( 'poly3' );
opts = fitoptions( 'Method', 'LinearLeastSquares' );
opts.Normalize = 'on';
opts.Robust = 'Bisquare';
% Fit model to data.
[fitresult, gof] = fit( xData, yData, ft, opts );
% Plot fit with data.
figure( 'Name', 'untitled fit 1' );
plot( fitresult, xData, yData, 'predobs', 0.99 );
% Extend the plot
hold on
xNew = linspace(max(xData), max(xData)+500, 500);
yNew = feval(fitresult, xNew);
plot(xNew, yNew);
% Label axes
ylabel('Interpreter', 'none' );
grid on
0 comentarios
Respuestas (1)
Image Analyst
el 28 de Mzo. de 2023
I'd just use polyfit() to get the equations that fit your data. Once you have that equation, you can get values anywhere you want. See attached demo. Attach your own data if you can't figure out how to adapt it.
0 comentarios
Ver también
Categorías
Más información sobre Linear and Nonlinear Regression en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!