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Plot multi curve in one figure

2 次查看（过去 30 天）
Tesla
Tesla 2022-5-25
评论： Voss 2022-5-28
I am trying to plot many curve in one figure with different color and size.
But when I am trying to do that I got strange error.
Here my code
function [fitresult, gof] = createFits1(x, y)
%% Initialization.
x = [0,0.1, 0.2, 0.3, 0.4, 0.46, 0.55, 0.6];
%y = [0.001, 0.00111499, 0.0011926, 0.0013699, 0.00161633, 0.00192075, 0.00274991, 0.00357156]; % for 100% 0.64
% x = [0,0.1, 0.2, 0.3, 0.4, 0.46, 0.55, 0.6]';
% y = [0.001, 0.001161, 0.00141484, 0.0021995, 0.00408401, 0.00454675, 0.0067192, 0.00987622]'; % 10% 0.54 + 90% 0.99
y = [0.001, 0.00117728, 0.00146081, 0.00215119, 0.00307794, 0.00398234, 0.00619084, 0.00696612];
% Initialize arrays to store fits and goodness-of-fit.
fitresult = cell( 10, 1 );
gof = struct( 'sse', cell( 10, 1 ), ...
'rsquare', [], 'dfe', [], 'adjrsquare', [], 'rmse', [] );
%% Fit: 'Mooney (1951)'.
[xData, yData] = prepareCurveData( x, y );
% Set up fittype and options.
ft = fittype( '0.001*(exp((b*x)/(1-x/a)))', 'independent', 'x', 'dependent', 'y' );
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.Lower = [0 0];
opts.StartPoint = [1 1];
opts.Upper = [1 100];
% Fit model to data.
[fitresult{1}, gof(1)] = fit( xData, yData, ft, opts );
plot( fitresult{1}, xData, yData );
legend('y vs. x', 'Mooney (1951)', 'Location', 'NorthEast', 'Interpreter', 'none' );
hold on
%% Fit: 'Krieger and Dougherty (1959)'.
[xData, yData] = prepareCurveData( x, y );
% Set up fittype and options.
ft = fittype( '0.001*(1-x/a)^(-b*a)', 'independent', 'x', 'dependent', 'y' );
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.Lower = [0 0];
opts.StartPoint = [1 1];
opts.Upper = [1 100];
% Fit model to data.
[fitresult{2}, gof(2)] = fit( xData, yData, ft, opts );
plot( fitresult{2} ,xData, yData,'LineWidth',10);
legend('y vs. x', 'Krieger and Dougherty (1959)', 'Location', 'NorthEast', 'Interpreter', 'none' );
hold on
  2 个评论
Torsten
Torsten 2022-5-25
It would be interesting to know the error message and location.
Tesla
Tesla 2022-5-25
The error is:
Error in cfit/plot (line 50)
outliers = curvefit.ensureLogical( outliers, numel( ydata ) );
Error in testfit (line 45)
plot( fitresult{2} ,xData, yData,'LineWidth',10);
it gone when I remove
'LineWidth',10

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采纳的回答

Voss
Voss 2022-5-28
Ran in:
The function plot from the Curve Fitting Toolbox does not have the same set of options as the function plot from base MATLAB.
https://www.mathworks.com/help/curvefit/cfit.plot.html
https://www.mathworks.com/help/matlab/ref/plot.html
To set any property of lines created with Curve Fitting Toolbox plot, you can store the line handle and then set the property after the plot call.
createFits1();
function [fitresult, gof] = createFits1()%x, y)
%% Initialization.
x = [0,0.1, 0.2, 0.3, 0.4, 0.46, 0.55, 0.6];
%y = [0.001, 0.00111499, 0.0011926, 0.0013699, 0.00161633, 0.00192075, 0.00274991, 0.00357156]; % for 100% 0.64
% x = [0,0.1, 0.2, 0.3, 0.4, 0.46, 0.55, 0.6]';
% y = [0.001, 0.001161, 0.00141484, 0.0021995, 0.00408401, 0.00454675, 0.0067192, 0.00987622]'; % 10% 0.54 + 90% 0.99
y = [0.001, 0.00117728, 0.00146081, 0.00215119, 0.00307794, 0.00398234, 0.00619084, 0.00696612];
% Initialize arrays to store fits and goodness-of-fit.
fitresult = cell( 10, 1 );
gof = struct( 'sse', cell( 10, 1 ), ...
'rsquare', [], 'dfe', [], 'adjrsquare', [], 'rmse', [] );
%% Fit: 'Mooney (1951)'.
[xData, yData] = prepareCurveData( x, y );
% Set up fittype and options.
ft = fittype( '0.001*(exp((b*x)/(1-x/a)))', 'independent', 'x', 'dependent', 'y' );
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.Lower = [0 0];
opts.StartPoint = [1 1];
opts.Upper = [1 100];
% Fit model to data.
[fitresult{1}, gof(1)] = fit( xData, yData, ft, opts );
plot( fitresult{1}, xData, yData );
legend('y vs. x', 'Mooney (1951)', 'Location', 'NorthEast', 'Interpreter', 'none' );
hold on
%% Fit: 'Krieger and Dougherty (1959)'.
[xData, yData] = prepareCurveData( x, y );
% Set up fittype and options.
ft = fittype( '0.001*(1-x/a)^(-b*a)', 'independent', 'x', 'dependent', 'y' );
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.Lower = [0 0];
opts.StartPoint = [1 1];
opts.Upper = [1 100];
% Fit model to data.
[fitresult{2}, gof(2)] = fit( xData, yData, ft, opts );
h = plot( fitresult{2} ,xData, yData);%,'LineWidth',10);
set(h,'LineWidth',10);
legend('y vs. x', 'Krieger and Dougherty (1959)', 'Location', 'NorthEast', 'Interpreter', 'none' );
hold on
end

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