Plot multi curve in one figure
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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
采纳的回答
The function plot from the Curve Fitting Toolbox does not have the same set of options as the function plot from base MATLAB.
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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