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qtiplot
src
analysis
LogisticFit.h
Go to the documentation of this file.
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/***************************************************************************
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File : LogisticFit.h
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Project : QtiPlot
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--------------------------------------------------------------------
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Copyright : (C) 2007 by Ion Vasilief
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Email (use @ for *) : ion_vasilief*yahoo.fr
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Description : Logistic Fit class
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***************************************************************************/
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/***************************************************************************
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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* This program is distributed in the hope that it will be useful, *
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* but WITHOUT ANY WARRANTY; without even the implied warranty of *
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
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* GNU General Public License for more details. *
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* *
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* You should have received a copy of the GNU General Public License *
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* along with this program; if not, write to the Free Software *
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, *
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* Boston, MA 02110-1301 USA *
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* *
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***************************************************************************/
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#ifndef LOGISTICFIT_H
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#define LOGISTICFIT_H
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#include "
Fit.h
"
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class
LogisticFit
:
public
Fit
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{
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Q_OBJECT
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public
:
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LogisticFit
(
ApplicationWindow
*parent, QwtPlotCurve *);
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LogisticFit
(
ApplicationWindow
*parent, QwtPlotCurve *,
double
,
double
);
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LogisticFit
(
ApplicationWindow
*parent,
Graph
*g);
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LogisticFit
(
ApplicationWindow
*parent,
Graph
*g,
const
QString& curveTitle);
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LogisticFit
(
ApplicationWindow
*parent,
Graph
*g,
const
QString& curveTitle,
double
start,
double
end);
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LogisticFit
(
ApplicationWindow
*parent,
Table
*t,
const
QString& xCol,
const
QString& yCol,
int
startRow = 1,
int
endRow = -1);
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void
guessInitialValues
();
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double
eval
(
double
*par,
double
x
){
return
(par[0]-par[1])/(1+pow(x/par[2], par[3]))+par[1];};
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private
:
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void
init
();
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void
calculateFitCurveData
(
double
*X,
double
*Y);
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};
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#endif
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