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// --------------------------------------------------------------------------
// OpenMS -- Open-Source Mass Spectrometry
// --------------------------------------------------------------------------
// Copyright The OpenMS Team -- Eberhard Karls University Tuebingen,
// ETH Zurich, and Freie Universitaet Berlin 2002-2013.
//
// This software is released under a three-clause BSD license:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of any author or any participating institution
// may be used to endorse or promote products derived from this software
// without specific prior written permission.
// For a full list of authors, refer to the file AUTHORS.
// --------------------------------------------------------------------------
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL ANY OF THE AUTHORS OR THE CONTRIBUTING
// INSTITUTIONS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
// OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
// WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
// OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
// ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// --------------------------------------------------------------------------
// $Maintainer: Clemens Groepl $
// $Authors: $
// --------------------------------------------------------------------------
#include <OpenMS/CONCEPT/ClassTest.h>
///////////////////////////
#include <OpenMS/MATH/STATISTICS/LinearRegression.h>
///////////////////////////
START_TEST(LinearRegression<Iterator>, "$Id: LinearRegression_test.C 10915 2013-04-04 20:14:57Z aiche $")
/////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////
using namespace OpenMS;
using namespace Math;
using namespace std;
LinearRegression* ptr;
LinearRegression* nullPointer = 0;
START_SECTION((LinearRegression()))
ptr = new LinearRegression;
TEST_NOT_EQUAL(ptr, nullPointer)
END_SECTION
START_SECTION((virtual ~LinearRegression()))
delete ptr;
END_SECTION
// Create a test data set
vector<double> x_axis(10);
vector<double> y_axis(10);
vector<double> weight(10);
for (int i=0; i < 10; ++i)
{
x_axis[i]=i;
y_axis[i]=2*i+4;
weight[i]=1+i;
}
LinearRegression lin_reg;
START_SECTION((template < typename Iterator > void computeRegression(double confidence_interval_P, Iterator x_begin, Iterator x_end, Iterator y_begin)))
lin_reg.computeRegression(0.95,x_axis.begin(),x_axis.end(),y_axis.begin());
TEST_REAL_SIMILAR(lin_reg.getSlope(),2.0)
TEST_REAL_SIMILAR(lin_reg.getIntercept(),4.0)
END_SECTION
START_SECTION((template < typename Iterator > void computeRegressionWeighted(double confidence_interval_P, Iterator x_begin, Iterator x_end, Iterator y_begin, Iterator w_begin)))
lin_reg.computeRegressionWeighted(0.95,x_axis.begin(),x_axis.end(),y_axis.begin(),weight.begin());
TEST_REAL_SIMILAR(lin_reg.getSlope(),2.0)
TEST_REAL_SIMILAR(lin_reg.getIntercept(),4.0)
END_SECTION
START_SECTION((DoubleReal getChiSquared() const))
TEST_REAL_SIMILAR(lin_reg.getChiSquared(),0)
END_SECTION
START_SECTION((DoubleReal getIntercept() const))
TEST_REAL_SIMILAR(lin_reg.getIntercept(),4.0)
END_SECTION
START_SECTION((DoubleReal getLower() const))
TEST_REAL_SIMILAR(lin_reg.getLower(),-2.0)
END_SECTION
START_SECTION((DoubleReal getUpper() const))
TEST_REAL_SIMILAR(lin_reg.getUpper(),-2.0)
END_SECTION
START_SECTION((DoubleReal getSlope() const))
TEST_REAL_SIMILAR(lin_reg.getSlope(),2.0)
END_SECTION
START_SECTION((DoubleReal getStandDevRes() const))
TEST_REAL_SIMILAR(lin_reg.getStandDevRes(),0.0)
END_SECTION
START_SECTION((DoubleReal getStandErrSlope() const))
TEST_REAL_SIMILAR(lin_reg.getStandErrSlope(),0.0)
END_SECTION
START_SECTION((DoubleReal getRSquared() const))
TEST_REAL_SIMILAR(lin_reg.getRSquared(),1.0)
END_SECTION
START_SECTION((DoubleReal getTValue() const))
TEST_REAL_SIMILAR(lin_reg.getTValue(),2.306)
END_SECTION
START_SECTION((DoubleReal getXIntercept() const))
TEST_REAL_SIMILAR(lin_reg.getXIntercept(),-2.0)
END_SECTION
START_SECTION((DoubleReal getRSD() const))
TEST_REAL_SIMILAR(lin_reg.getRSD(),0.0)
END_SECTION
START_SECTION((DoubleReal getMeanRes() const))
TEST_REAL_SIMILAR(lin_reg.getMeanRes(),0.0)
END_SECTION
//test with no intercept
for (int i=0; i < 10; ++i)
{
y_axis[i]=2*i;
}
START_SECTION((template < typename Iterator > void computeRegressionNoIntercept(double confidence_interval_P, Iterator x_begin, Iterator x_end, Iterator y_begin)))
lin_reg.computeRegressionNoIntercept(0.95,x_axis.begin(),x_axis.end(),y_axis.begin());
TEST_REAL_SIMILAR(lin_reg.getSlope(),2.0)
TEST_REAL_SIMILAR(lin_reg.getIntercept(),0.0)
END_SECTION
/////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////
END_TEST
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