QtiPlot  0.9.8.2
SigmoidalFit.h
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1 /***************************************************************************
2  File : SigmoidalFit.h
3  Project : QtiPlot
4  --------------------------------------------------------------------
5  Copyright : (C) 2007 by Ion Vasilief
6  Email (use @ for *) : ion_vasilief*yahoo.fr
7  Description : Sigmoidal (Boltzmann) Fit class
8 
9  ***************************************************************************/
10 
11 /***************************************************************************
12  * *
13  * This program is free software; you can redistribute it and/or modify *
14  * it under the terms of the GNU General Public License as published by *
15  * the Free Software Foundation; either version 2 of the License, or *
16  * (at your option) any later version. *
17  * *
18  * This program is distributed in the hope that it will be useful, *
19  * but WITHOUT ANY WARRANTY; without even the implied warranty of *
20  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
21  * GNU General Public License for more details. *
22  * *
23  * You should have received a copy of the GNU General Public License *
24  * along with this program; if not, write to the Free Software *
25  * Foundation, Inc., 51 Franklin Street, Fifth Floor, *
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29 #ifndef SIGMOIDALFIT_H
30 #define SIGMOIDALFIT_H
31 
32 #include "Fit.h"
33 
34 class SigmoidalFit : public Fit
35 {
36  Q_OBJECT
37 
38  public:
39  SigmoidalFit(ApplicationWindow *parent, QwtPlotCurve *);
40  SigmoidalFit(ApplicationWindow *parent, QwtPlotCurve *, double, double);
42  SigmoidalFit(ApplicationWindow *parent, Graph *g, const QString& curveTitle);
43  SigmoidalFit(ApplicationWindow *parent, Graph *g, const QString& curveTitle, double start, double end);
44  SigmoidalFit(ApplicationWindow *parent, Table *t, const QString& xCol, const QString& yCol, int startRow = 1, int endRow = -1);
45 
46  double eval(double *par, double x){return (par[0]-par[1])/(1+exp((x-par[2])/par[3]))+par[1];};
47 
48  void guessInitialValues();
49  void setLogistic(bool on = true);
50 
51  private:
52  void init();
53  void calculateFitCurveData(double *X, double *Y);
54 
55  bool d_logistic;
56 };
57 
58 #endif