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67 lines
2.0 KiB
C++
67 lines
2.0 KiB
C++
// $Id: uniformDistribution.h 5807 2009-01-20 09:23:51Z adido $
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// version 2.00
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// last modified 21 Mar 2004
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#ifndef ___FLAT_DIST
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#define ___FLAT_DIST
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/************************************************************
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This represents a uniform distribution of one column (rectangular distribution) between
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a (lower_bound) and b (upper_bound)
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________|___|_____
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a b
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the distribution (or rather (a,b)) is divided into categories (portions of the distribution)
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, where _rates is a vector with the median value for each category. _ratesProb represents
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the probability of each category.
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_globalRate represents the rate for two joint genes.
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************************************************************/
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#include "definitions.h"
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#include "distribution.h"
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class uniformDistribution : public distribution {
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public:
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explicit uniformDistribution(const int numOfCategories, MDOUBLE lowerBound,
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MDOUBLE upperBound);
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explicit uniformDistribution(){_globalRate=1.0;};
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explicit uniformDistribution(const uniformDistribution& other);
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virtual ~uniformDistribution() {};
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const int categories() const {return _rates.size();}
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virtual void change_number_of_categories(int in_number_of_categories);
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virtual const MDOUBLE rates(const int i) const {return _rates[i]*_globalRate;}
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virtual const MDOUBLE ratesProb(const int i) const {return _ratesProb[i];}
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virtual distribution* clone() const { return new uniformDistribution(*this); }
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virtual void setGlobalRate(const MDOUBLE x) {_globalRate = x;}
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virtual MDOUBLE getGlobalRate() const {return _globalRate;}
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virtual const MDOUBLE getCumulativeProb(const MDOUBLE x) const;
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MDOUBLE getBorder(const int i) const ; //return the ith border. Note: _bonderi[0] = m_lowerLimit, _bondery[categories()] = m_upperLimit
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void setUniformParameters(const int numOfCategories, MDOUBLE lowerBound, MDOUBLE upperBound);
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private:
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Vdouble _rates;
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Vdouble _ratesProb;
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MDOUBLE _globalRate;
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MDOUBLE _interval;
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MDOUBLE _upperBound;
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MDOUBLE _lowerBound;
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};
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#endif
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//TO DO:
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//1. change categories() to numOfCategories()
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