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// File: DualityDiagram.h
// Created by: Mathieu Groussin
// Created on: Sun Feb 27 22:03 2011
//
/*
Copyright or © or Copr. Bio++ Development Team, (November 17, 2004)
This software is a computer program whose purpose is to provide basal and
utilitary classes. This file belongs to the Bio++ Project.
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can use,
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info".
As a counterpart to the access to the source code and rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty and the software's author, the holder of the
economic rights, and the successive licensors have only limited
liability.
In this respect, the user's attention is drawn to the risks associated
with loading, using, modifying and/or developing or reproducing the
software by the user in light of its specific status of free software,
that may mean that it is complicated to manipulate, and that also
therefore means that it is reserved for developers and experienced
professionals having in-depth computer knowledge. Users are therefore
encouraged to load and test the software's suitability as regards their
requirements in conditions enabling the security of their systems and/or
data to be ensured and, more generally, to use and operate it in the
same conditions as regards security.
The fact that you are presently reading this means that you have had
knowledge of the CeCILL license and that you accept its terms.
*/
#ifndef _DUALITYDIAGRAM_H_
#define _DUALITYDIAGRAM_H_
#include "../../Matrix/Matrix.h"
namespace bpp
{
/**
* @brief The core class of a multivariate analysis.
*
* In the constructor, the eigen values and vectors of the variance-covariance or correlation matrix are calculated.
* Eigen values and vectors are stored in the eigenValues_ and eigenVectors_ respectively.
* Furthermore, four matrices are calculated: the row and column coordinates as well as the principal axes and components.
*
* The code of this class is deeply inspired from the R code of the as.dudi function available in the ade4 package.
*/
class DualityDiagram:
public virtual Clonable
{
private:
std::vector<double> rowWeights_;
std::vector<double> colWeights_;
size_t nbAxes_;
std::vector<double> eigenValues_;
RowMatrix<double> eigenVectors_;
RowMatrix<double> rowCoord_;
RowMatrix<double> colCoord_;
RowMatrix<double> ppalAxes_;
RowMatrix<double> ppalComponents_;
public:
/**
* @brief Build an empty DualityDiagram object.
*
*/
DualityDiagram() :
rowWeights_(),
colWeights_(),
nbAxes_(),
eigenValues_(),
eigenVectors_(),
rowCoord_(),
colCoord_(),
ppalAxes_(),
ppalComponents_() {}
/**
* @brief Build a new DualityDiagram object.
*
* @param matrix The input data to analyse.
* @param rowWeights A vector of values specifying the weights of rows.
* @param colWeights A vector of values specifying the weights of columns.
* @param nbAxes The number of kept axes during the analysis.
* @param tol Tolerance threshold for null eigenvalues (a value less than tol times the first one is considered as null)
* @param verbose Should warnings be dispayed.
* @throw Exception if an error occured.
*/
DualityDiagram(
const Matrix<double>& matrix,
const std::vector<double>& rowWeights,
const std::vector<double>& colWeights,
unsigned int nbAxes,
double tol = 0.0000001,
bool verbose = true) throw (Exception);
virtual ~DualityDiagram();
#ifndef NO_VIRTUAL_COV
DualityDiagram*
#else
Clonable*
#endif
clone() const { return new DualityDiagram(*this); }
private:
void check_(
const Matrix<double>& matrix,
const std::vector<double>& rowWeights,
const std::vector<double>& colWeights,
unsigned int nbAxes) throw (Exception);
void compute_(const Matrix<double>& matrix, double tol, bool verbose);
public:
/**
* @brief Set the data and perform computations.
*
* @param matrix The input data to analyse.
* @param rowWeights A vector of values specifying the weights of rows.
* @param colWeights A vector of values specifying the weights of columns.
* @param nbAxes The number of kept axes during the analysis.
* @param tol Tolerance threshold for null eigenvalues (a value less than tol times the first one is considered as null)
* @param verbose Should warnings be dispayed.
* @throw Exception if an error occured.
*/
void setData(
const Matrix<double>& matrix,
const std::vector<double>& rowWeights,
const std::vector<double>& colWeights,
unsigned int nbAxes,
double tol = 0.0000001,
bool verbose = true) throw (Exception);
std::vector<double> computeVariancePercentagePerAxis() throw (Exception);
size_t getNbOfKeptAxes() const throw (Exception) { return nbAxes_; }
const std::vector<double> getRowWeights() const throw (Exception) { return rowWeights_; }
const std::vector<double> getColumnWeights() const throw (Exception) { return colWeights_; }
const std::vector<double>& getEigenValues() const throw (Exception) { return eigenValues_; }
const RowMatrix<double>& getRowCoordinates() const throw (Exception) { return rowCoord_; }
const RowMatrix<double>& getColCoordinates() const throw (Exception) { return colCoord_; }
const RowMatrix<double>& getPrincipalAxes() const throw (Exception) { return ppalAxes_; }
const RowMatrix<double>& getPrincipalComponents() const throw (Exception) { return ppalComponents_; }
};
} // end of namespace bpp.
#endif // _DUALITYDIAGRAM_H_
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