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Highlights from
MATLAB Tools for Scientist

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from MATLAB Tools for Scientist by Asawari Samant
Files from the webinar: MATLAB Tools for Scientists- Introduction to Data Analysis and Visualization

createFit(doseB, y, clr) 
function [fitresult, gof] = createFit(doseB, y, clr)
%CREATEFIT1(DOSEB,Y)
%  Create a fit.
%
%  Data for 'untitled fit 1' fit:
%      X Input : doseB
%      Y Output: y
%  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 21-May-2012 10:57:07
% Copyright 2011 - 2012 MathWorks, Inc.

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

% Set up fittype and options.
ft = fittype( 'y0 + Emax*x^n/(EC50^n + x^n)', 'independent', 'x', 'dependent', 'y' );
opts = fitoptions( ft );
opts.Display = 'Off';
opts.Lower = [0 0 0 0];
opts.StartPoint = [0.2 0.55 0.66 0.939213156370957];
opts.Upper = [Inf Inf Inf Inf];

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

% Plot fit with data.
gcf ;
hold on
xPlot = linspace(xData(1),xData(end), 100)  ;
h = plot(xPlot, fitresult(xPlot));
% h1 = scatter(xData, yData) ;
set(h, 'Color', clr)
drawnow
box on;
hold off

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