MATLAB: How to plot a fit object without extrapolation

Curve Fitting Toolboxextrapolationplot fit objectplotting

Hi, I am looking for a way to plot a curve fit object but without the extrapolation at the beginning and the end of the curve. My code for the current graph is as follows:

% Fit
[Fit.(string).fitresult, Fit.(string).gof] = fit( xData1, yData1, ft, 'Normalize', 'on' );
hc(k) = plot(xData1, yData1, '.', 'Marker', markerlist(k),'MarkerEdgeColor',colorlist(k,:),'MarkerFaceColor',colorlist(k,:));
hold on
% Plot fit
ha = plot(Fit.(string).fitresult);

Which generates this figure:

Since the end line, especially for the red curve, is not right, I need to remove that part. Does anyone have a solution? Thanks in advance! Best regards, Katharina

Best Answer

You can pass 'XLim' into fitresult's plot to plot only over a specific range in x.

http://www.mathworks.com/help/releases/R2014a/curvefit/plot.html

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Use function that fit() returns

[fitresult, gof] = fit( xData, yData, ft, opts );
% plot(fitresult,'r')
plot(xData,fitresult(xData),'r')

MATLAB: How to display the contour line values from a contour plot generated using the curve fitting tools

If, in the auto-generated code from the gui you specify h (the handler to the plots) as an aditional output variable you can access those data.

    function [fitresult, gof, h] = createFit(x, y, z)
    %CREATEFIT(X,Y,Z)
    %  Create a fit.
    %


    %  Data for 'untitled fit 1' fit:
    %      X Input : x
    %      Y Input : y
    %      Z Output: z
    %  Output:
    %      fitresult : a fit object representing the fit.
    %      gof : structure with goodness-of fit info.
    %
    %  See also FIT, CFIT, SFIT.
    %  Auto-generated by MATLAB on 28-Apr-2017 12:52:15
    %%Fit: 'untitled fit 1'.
    [xData, yData, zData] = prepareSurfaceData( x, y, z );
    % Set up fittype and options.
    ft = fittype( 'lowess' );
    % Fit model to data.
    [fitresult, gof] = fit( [xData, yData], zData, ft, 'Normalize', 'on' );
    % Make contour plot.
    figure( 'Name', 'untitled fit 1' );
    h = plot( fitresult, [xData, yData], zData, 'Style', 'Contour' );
    legend( h, 'untitled fit 1', 'z vs. x, y', 'Location', 'NorthEast' );
    % Label axes
    xlabel x
    ylabel y
    grid on

h is an array and you have to guess which component is the one for the contour plot. In my example it was h(1). That component is the same as in [C, h] = contour(...), and you can use it in the same way. h(1).ContourMatrix has the matrix C that contour would output, and, in particular you can write

clabel(h(1).ContourMatrix, h(1))

to have the contour lines of your plot labelled.

Best Answer

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MATLAB: Two curves in one plot with wrong scaling

MATLAB: How to display the contour line values from a contour plot generated using the curve fitting tools

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