Matlab物化实验——已知函数表达式用最小二乘法拟合

0	71.18
0.06	47.00384303
0.1	37.62875959
0.15	33.90441137
0.2	29.05633739
0.25	26.87309878
0.3	24.52932792
0.5	20.96551195
0.7	15.18635092
function [fitresult, gof] = createFit(VarName3, VarName4)
%CREATEFIT(VARNAME3,VARNAME4)
%  Create a fit.
%
%  Data for 'untitled fit 1' fit:
%      X Input : VarName3
%      Y Output: VarName4
%  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 25-Mar-2014 23:07:37


%% Fit: 'untitled fit 1'.
[xData, yData] = prepareCurveData( VarName3, VarName4 );

% Set up fittype and options.
ft = fittype( '71.18-gamma*8.314*(30+273.15)*log(1+K*(x))', 'independent', 'x', 'dependent', 'y' );
% ft = fittype( '71.18-gamma*8.314*(30+273.15)*log(1+K*(x*100))', 'independent', 'x', 'dependent', 'y' );
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.StartPoint = [0.644318130193692 0.51077156417211];

% Fit model to data.
[fitresult, gof] = fit( xData, yData, ft, opts );

% Plot fit with data.
figure( 'Name', 'untitled fit 1' );
h = plot( fitresult, xData, yData );
% legend( h, 'VarName4 vs. VarName3', 'untitled fit 1', 'Location', 'NorthEast' );
% Label axes
xlabel( 'c' );
ylabel( '\sigma' );
grid on