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/*
* Copyright Nick Thompson, 2019
* Use, modification and distribution are subject to the
* Boost Software License, Version 1.0. (See accompanying file
* LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
*/
#include "math_unit_test.hpp"
#include <vector>
#include <random>
#include <boost/math/statistics/univariate_statistics.hpp>
#include <boost/math/statistics/t_test.hpp>
template<typename Real>
void test_exact_mean()
{
// Of course this test seems obvious, but just for the sake of comfort, here's the Mathematica to demo this test:
// data3 = RandomReal[NormalDistribution[], 1024];
// NumberForm[TTest[data3, Mean[data3], "TestStatistic"], 16]
// NumberForm[TTest[data3, Mean[data3], "PValue"], 16]
std::mt19937 gen{5125122};
std::normal_distribution<Real> dis{0,3};
std::vector<Real> v(1024);
for (auto & x : v) {
x = dis(gen);
}
Real mu = boost::math::statistics::mean(v);
auto [computed_statistic, computed_pvalue] = boost::math::statistics::one_sample_t_test(v, mu);
CHECK_MOLLIFIED_CLOSE(Real(0), computed_statistic, 10*std::numeric_limits<Real>::epsilon());
CHECK_ULP_CLOSE(Real(1), computed_pvalue, 9);
}
void test_agreement_with_mathematica()
{
// Reproduce via:
//data = RandomReal[NormalDistribution[], 128];
//NumberForm[data, 16]
//NumberForm[TTest[data, 0.0, "TestStatistic"], 16]
//NumberForm[TTest[data, 0.0, "PValue"], 16]
std::vector<double> v{1.270498757865948,-0.7097895555907483,1.151445006538434,0.915648732663531,-0.7480131480881454,-0.6837323220203325,
2.362877076786142,2.438188734959438,0.1644154283470843,-0.980857299461513,-0.1448627006957758,0.04901437671768214,
-0.3895499730435337,1.412356512608596,-0.3865249523080916,-0.6159322168089271,-0.1865107372684944,-0.152509328597876,
1.142603106429423,-1.358368106645048,0.2268475747885975,0.4029249376986136,0.1167407378850566,0.05532794835680535,
-1.928794899326586,0.6496438708570567,0.269012797381103,-0.908168796067257,-0.6194990582309883,1.606256899489664,
-0.903964536847682,-1.375889704354273,0.04906080087803202,0.2039077019578547,-0.4907377045195846,-0.4781929001716083,
-0.2289802280011548,-1.339055086640687,-0.3120811524451416,0.06142580393246503,-0.140496390441262,-0.6482824149508374,
-0.2944027976542998,1.619416512991051,0.6285648262611375,1.312636016409526,-1.109965359363169,-0.774547681114892,
-0.344875897907528,0.816762481553918,0.1500701005574458,0.807790349338737,-0.2052962007348396,1.057657121384678,
0.836142529983228,0.3432803448381389,-0.01268905497569333,-1.144036865790547,-0.4530056923174255,-0.3061160863293071,
-0.02963689772198411,-1.33671649419749,-0.06052105439831394,0.973282554859066,-1.643904288065807,-1.0293884110541,
-0.5291066659852803,-0.3294227039691209,0.002993387508002654,0.2248580674319177,0.574521694409057,1.041337304293327,
0.4078548122453237,0.1112225876991191,-0.6448072259486091,-0.3051345048257077,0.089593933234481,0.4611768867673915,
0.7644315320471444,-0.341247840010495,0.0326958894744302,-0.05121900335567795,-0.06019531049352196,1.71234441194424,
-0.04175157932686885,0.769694813995503,-1.080913235981393,0.5989354496438777,-0.84416230123901,0.03165655009402087,
-0.7502374585144876,-2.734748382516766,1.541068679878993,0.1054620771416859,-0.6543692934553028,1.499220114211276,
-0.342006571062175,-0.2053132127077213,0.5457125644270833,-0.7956250897267784,0.7320742348115779,0.4674423735122585,
-0.3087396963145776,-1.53764162258267,0.2455449906251891,0.3795993803250636,-0.1195480230909131,0.137639511052913,
0.931721348902457,0.06704522870668304,-0.03773030445251862,0.3888322348695948,-0.06366757901233728,0.5563758371320388,
-0.7918177216642121,-0.7566297580399533,-0.3740377818446702,-0.6065664299451118,-0.2341124269010213,2.028052675971757,
0.378550889251416,0.816911727914731,1.162652387697876,-0.3853743867873177,1.196620648443396,0.01265660717000745,
1.816698960862263,-0.972941421015463};
double expected_statistic = 0.4587075249160456;
double expected_pvalue = 0.6472282548266728;
auto [computed_statistic, computed_pvalue] = boost::math::statistics::one_sample_t_test(v, 0.0);
CHECK_ULP_CLOSE(expected_statistic, computed_statistic, 8);
CHECK_ULP_CLOSE(expected_pvalue, computed_pvalue, 90);
{
std::vector<double> v = {0.7304375676969546,3.227250635039257,1.01821954205186};
expected_statistic = 2.103013485037935;
expected_pvalue = 0.1701790440880712;
auto [computed_statistic, computed_pvalue] = boost::math::statistics::one_sample_t_test(v, 0.0);
CHECK_ULP_CLOSE(expected_statistic, computed_statistic, 2);
CHECK_ULP_CLOSE(expected_pvalue, computed_pvalue, 7);
}
}
int main()
{
test_agreement_with_mathematica();
test_exact_mean<float>();
test_exact_mean<double>();
return boost::math::test::report_errors();
}
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