How to put the marker data over the curve fitting line?

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Oded Ben Tsedek 2021-8-16

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编辑： Scott MacKenzie 2021-8-16

Hello, I'm using curvefit with 555 data markers.

the default settings put the curve fit line over the data points. How do I reverse the order?

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Oded Ben Tsedek 2021-8-16

function [fitresult, gof] = createFit(t_new, x)

%CREATEFIT(T_NEW,X)

% Create a fit.

%

% Data for 'untitled fit 1' fit:

% X Input : t_new

% Y Output: x

% 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 16-Aug-2021 14:46:40

%% Fit: 'untitled fit 1'.

[xData, yData] = prepareCurveData( t_new, x );

% Set up fittype and options.

ft = fittype( 'poly2' );

% Fit model to data.

[fitresult, gof] = fit( xData, yData, ft );

% Plot fit with data.

figure( 'Name', 'untitled fit 1' );

h = plot( fitresult, xData, yData );

legend( h, 'x vs. t_new', 'untitled fit 1', 'Location', 'NorthEast', 'Interpreter', 'none' );

% Label axes

xlabel( 't_new', 'Interpreter', 'none' );

ylabel( 'x', 'Interpreter', 'none' );

grid off

Scott MacKenzie 2021-8-16

You note: the default settings put the curve fit line over the data points. That's not what I see. My plot has the points over the curve fit line.

Perhaps post the data and an image showing the plot you are seeing.

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Answer 1

Oded Ben Tsedek 2021-8-16

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The data and the graph

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Answer 2

Scott MacKenzie 2021-8-16

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编辑：Scott MacKenzie 2021-8-16

You posted your reply comment as an answer. Oops.

But, I see your point. And I'll try to explain here as an answer (although I'm not sure if this is exactly what you are after).

It seems the figure in the Curve Fitting Toolbox is different from the figure generated if you save the code and run it from the MATLAB Editor. The 1st figure below is for your data. It was generated from the curve-fitting code after saving the code and running it from the MATLAB Editor. The data points (blue) are an exact fit with the model. This makes it difficult to distinguish the points from the line (red). The 2nd figure is a zoomed-in segment which reveals that the points are indeed on top of the line, which is what you want.

So, if you save the code and run it from the MATLAB Editor, you'll get the figure you want.