mirror of
https://github.com/GoldenCheetah/GoldenCheetah.git
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76 lines
2.8 KiB
C++
76 lines
2.8 KiB
C++
/*
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* Copyright (c) 2014 Damien Grauser
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*
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* This program is free software; you can redistribute it and/or modify it
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* under the terms of the GNU General Public License as published by the Free
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* Software Foundation; either version 2 of the License, or (at your option)
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* any later version.
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*
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* This program is distributed in the hope that it will be useful, but WITHOUT
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
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* more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc., 51
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* Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#ifndef _GC_Statistic_h
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#define _GC_Statistic_h 1
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#include "GoldenCheetah.h"
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class Statistic
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{
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public:
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Statistic();
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// Constructor using arrays of x values and y values
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Statistic(double *, double *, int);
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double getYforX(double x) const { return (a + b * x); }
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double intercept() { return a; }
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double slope() { return b; }
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double r() { return c; }
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QString label();
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double minX, maxX, minY, maxY; // for the data set we have
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double pente(QVector<double> &Xi,QVector<double> &Yi,int n);
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double ordonnee(QVector<double> &Xi,QVector<double> &Yi,int n);
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double corr(QVector<double> &Xi, QVector<double> &Yi,int n);
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double moyenne(QVector<double> &Xi,int n);
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protected:
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long points;
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double sumX, sumY;
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double sumXsquared,
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sumYsquared;
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double sumXY;
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double a, b, c; // a = intercept, b = slope, c = r2
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private:
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// Maths functions used by the plots
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QVector<double> tab_temp; //Déclaration d'un tableau temporaire
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int test_zero(QVector<double> &tab,int n);
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int test_negatif(QVector<double> &tab,int n);
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void logtab(QVector<double> &tab,QVector<double> &tabTemp,int n);
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void lntab(QVector<double> &tab,QVector<double> &tabTemp,int n);
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void invtab(QVector<double> &tab,QVector<double> &tabTemp,int n);
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int ajustement(QVector<double> &Xi,QVector<double> &Yi,int n);
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double moyenne(QVector<int> &tab,int n);
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double moyenne2(double somme,int n);
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double val_abs(double x);
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int rmax(QVector<double> &r);
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int somme(QVector<int> &tab,int n);
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double somme(QVector<double> &tab,int n);
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void produittab(QVector<double> &tab1,QVector<double> &tab2,int n);
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void ecart_a_moyenne(QVector<double> &tab,double Moyenne,int n);
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double covariance(QVector<double> &Xi, QVector<double> &Yi,int n);
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double variance(QVector<double> &val,int n);
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double ecarttype(QVector<double> &val,int n);
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};
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#endif
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