source: trunk/test/statistics_test.cc @ 1418

// $Id: statistics_test.cc 1418 2008-08-19 23:15:32Z peter $

/*
  Copyright (C) 2004 Jari Häkkinen, Peter Johansson
  Copyright (C) 2005 Peter Johansson
  Copyright (C) 2006 Jari Häkkinen, Peter Johansson, Markus Ringnér
  Copyright (C) 2007 Jari Häkkinen, Peter Johansson
  Copyright (C) 2008 Peter Johansson

  This file is part of the yat library, http://trac.thep.lu.se/yat

  The yat library is free software; you can redistribute it and/or
  modify it under the terms of the GNU General Public License as
  published by the Free Software Foundation; either version 2 of the
  License, or (at your option) any later version.

  The yat library is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
  General Public License for more details.

  You should have received a copy of the GNU General Public License
  along with this program; if not, write to the Free Software
  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
  02111-1307, USA.
*/

#include "Suite.h"

#include "yat/statistics/Average.h"
#include "yat/statistics/utility.h"
#include "yat/utility/MatrixWeighted.h"
#include "yat/utility/Vector.h"

#include <cmath>
#include <cstdlib>
#include <iostream>
#include <map>
#include <vector>

using namespace theplu::yat;
void test_percentiler(test::Suite&);

template<typename RandomAccessIterator>
void test_percentiler(test::Suite&, RandomAccessIterator, 
                      RandomAccessIterator,
                      double p, double correct);

template<typename RandomAccessIterator1, typename RandomAccessIterator2>
void cmp_percentiler(test::Suite&, 
                     RandomAccessIterator1, 
                     RandomAccessIterator1,
                     RandomAccessIterator2,
                     RandomAccessIterator2);

int main(int argc, char* argv[])
{  
  test::Suite suite(argc, argv);

  utility::Vector gsl_vec(10);
  std::vector<double> data;
  for (unsigned int i=0; i<10; i++){
    data.push_back(static_cast<double>(i));
    gsl_vec(i)=i;
  }

  double m=statistics::median(data.begin(), data.end());
  double m_gsl=statistics::median(gsl_vec.begin(), gsl_vec.end());
  if (m!=4.5 || m!=m_gsl)
    suite.add(false);
  statistics::percentile(data.begin(), data.end(), 100);
  data.resize(1);
  statistics::median(data.begin(), data.end());
  // testing percentile2
  test_percentiler(suite);

  double skewness_gsl=statistics::skewness(gsl_vec);
  if (!suite.equal(1-skewness_gsl, 1.0) )
    suite.add(false);
  double kurtosis_gsl=statistics::kurtosis(gsl_vec);
  if (!(std::abs(kurtosis_gsl+1.5616363636363637113)<1e-10) ) 
    suite.add(false); 
  statistics::Average func;
  suite.add(suite.equal(func(gsl_vec.begin(), gsl_vec.end()),4.5));
  // easiest way to get a weighted iterator
  classifier::MatrixLookupWeighted mlw(10,20,2.0, 1.0);
  suite.add(suite.equal(func(mlw.begin(), mlw.end()),2.0));
  

  return suite.return_value();
}

void test_percentiler(test::Suite& suite)
{
  suite.err() << "testing unweighted percentile2" << std::endl;
  std::vector<double> x;
  x.reserve(6);
  for (unsigned int i=0; i<5; i++){
    x.push_back(static_cast<double>(i));
  }
  test_percentiler(suite, x.begin(), x.end(), 50, 2);
  x.push_back(5);
  test_percentiler(suite, x.begin(), x.end(), 50, 2.5);
  test_percentiler(suite, x.begin(), x.end(), 25, 1);
  test_percentiler(suite, x.begin(), x.end(), 0, 0);
  test_percentiler(suite, x.begin(), x.end(), 10, 0);

  suite.err() << "testing duplication of data\n";
  std::vector<double> x2(x);
  for (size_t i=0; i<x.size(); ++i)
    x2.push_back(x[i]);
  cmp_percentiler(suite, x.begin(), x.end(), x2.begin(), x2.end());


  // testing weighted

  suite.err() << "testing weighted percentile2" << std::endl;
  std::vector<utility::DataWeight> xw(x.size());
  for (size_t i=0; i<xw.size(); ++i) {
    xw[i].data() = x[i];
    xw[i].weight() = 1.0;
  }
  const std::vector<utility::DataWeight> xw_orig(xw);
  suite.err() << "testing weighted with unity weights" << std::endl;
  cmp_percentiler(suite, x.begin(), x.end(), xw.begin(), xw.end());

  suite.err() << "testing that w=0 equals removed data point\n";
  xw=xw_orig;
  std::vector<utility::DataWeight> xw2(xw_orig);
  xw[3].weight() = 0.0;
  xw2.erase(xw2.begin()+3);
  cmp_percentiler(suite, xw.begin(), xw.end(), xw2.begin(), xw2.end());

  suite.err() << "testing rescaling of weights\n";
  xw2 = xw;
  for (size_t i=0; i<xw2.size(); ++i)
    xw2[i].weight()*=2;
  cmp_percentiler(suite, xw.begin(), xw.end(), xw2.begin(), xw2.end());

}

template<typename RandomAccessIterator>
void test_percentiler(test::Suite& suite, 
                      RandomAccessIterator first, 
                      RandomAccessIterator last,
                      double p, double correct)
{
  using statistics::percentile2;
  double x = percentile2(first, last, p);
  if (!suite.add(suite.equal(x, correct, 10))) {
    suite.err() << "Error in percentile2\n";
    suite.err() << "  calculated value: " << x << "\n";
    suite.err() << "  expected value: " << correct << "\n";
  }
}

template<typename RandomAccessIterator1, typename RandomAccessIterator2>
void cmp_percentiler(test::Suite& suite, 
                     RandomAccessIterator1 first1, 
                     RandomAccessIterator1 last1,
                     RandomAccessIterator2 first2,
                     RandomAccessIterator2 last2)
{
  for (double p=0; p<100; p+=10) {
    double correct=statistics::percentile2(first1, last1, p);
    test_percentiler(suite, first2, last2, p, correct);
  }

}