pappso::LinearRegression Class Reference

#include <linearregression.h>

Public Member Functions
	LinearRegression (const Trace &data)
	LinearRegression (const LinearRegression &other)
double	getYfromX (double score) const
double	getIntercept () const
double	getSlope () const
double	getRmsd () const
	get Root-Mean-Square Deviation
double	getNrmsd () const
	get Normalized Root-Mean-Square Deviation
double	getCoefficientOfDetermination () const
	get Coefficient of determination (R2)
std::size_t	getSize () const
	get data size

Private Attributes
double	m_slope = 0
double	m_intercept = 0
Trace	m_data

Detailed Description

Definition at line 32 of file linearregression.h.

Constructor & Destructor Documentation

LinearRegression() [1/2]

LinearRegression::LinearRegression

(

const Trace &

data

)

Definition at line 39 of file linearregression.cpp.

{
 
  m_data           = data;
  std::size_t size = data.size();
  if(size > 2)
    {
      pappso::pappso_double x_vec_mean =
 
        (std::accumulate(
           data.begin(), data.end(), 0, [](double a, const DataPoint &b) { return a + b.x; }) /
         size);
      pappso::pappso_double y_vec_mean = (sumYTrace(data.begin(), data.end(), 0) / size);
 
      pappso::pappso_double sx  = 0;
      pappso::pappso_double sxy = 0;
      for(size_t i = 0; i < size; i++)
        {
          sx += std::pow((data[i].x - x_vec_mean), 2);
          sxy += (data[i].x - x_vec_mean) * (data[i].y - y_vec_mean);
        }
      m_slope = sxy / sx;
 
      m_intercept = y_vec_mean - (m_slope * x_vec_mean);
    }
}

References pappso::a, pappso::b, m_data, m_intercept, m_slope, pappso::sumYTrace(), pappso::x, and pappso::y.

LinearRegression() [2/2]

pappso::LinearRegression::LinearRegression

(

const LinearRegression &

other

)

Definition at line 33 of file linearregression.cpp.

  : m_slope(other.m_slope), m_intercept(other.m_intercept), m_data(other.m_data)
{
}

References m_data, m_intercept, and m_slope.

Member Function Documentation

getCoefficientOfDetermination()

double LinearRegression::getCoefficientOfDetermination

(

)

const

get Coefficient of determination (R2)

Definition at line 115 of file linearregression.cpp.

{
  std::size_t size = m_data.size();
  if(size > 2)
    {
      double meanY                               = meanYTrace(m_data.begin(), m_data.end());
      pappso::pappso_double sum_square_deviation = 0;
      for(size_t i = 0; i < size; i++)
        {
          sum_square_deviation += std::pow((m_data[i].y - getYfromX(m_data[i].x)), 2);
        }
      pappso::pappso_double sum_square_total = 0;
      for(size_t i = 0; i < size; i++)
        {
          sum_square_total += std::pow((m_data[i].y - meanY), 2);
        }
      return ((double)1.0 - (sum_square_deviation / sum_square_total));
    }
  return 0;
}

References getYfromX(), m_data, pappso::meanYTrace(), pappso::x, and pappso::y.

Referenced by pappso::IonIsotopeRatioScore::IonIsotopeRatioScore(), and pappso::cbor::psm::PsmFeaturesScan::process().

getIntercept()

pappso::pappso_double LinearRegression::getIntercept

(

)

const

Definition at line 74 of file linearregression.cpp.

{
  return m_intercept;
}

References m_intercept.

getNrmsd()

double LinearRegression::getNrmsd

(

)

const

get Normalized Root-Mean-Square Deviation

Definition at line 108 of file linearregression.cpp.

{
  return (getRmsd() / (maxYDataPoint(m_data.begin(), m_data.end())->y -
                       minYDataPoint(m_data.begin(), m_data.end())->y));
}

References getRmsd(), m_data, pappso::maxYDataPoint(), and pappso::minYDataPoint().

getRmsd()

double LinearRegression::getRmsd

(

)

const

get Root-Mean-Square Deviation

Definition at line 90 of file linearregression.cpp.

{
 
  std::size_t size = m_data.size();
  if(size > 2)
    {
 
      pappso::pappso_double sum_square_deviation = 0;
      for(size_t i = 0; i < size; i++)
        {
          sum_square_deviation += std::pow((m_data[i].y - getYfromX(m_data[i].x)), 2);
        }
      return sqrt(sum_square_deviation / (double)size);
    }
  return 0;
}

References getYfromX(), m_data, pappso::x, and pappso::y.

Referenced by getNrmsd().

getSize()

std::size_t pappso::LinearRegression::getSize

(

)

const

get data size

Definition at line 67 of file linearregression.cpp.

{
  return m_data.size();
}

References m_data.

Referenced by pappso::cbor::psm::PsmFeaturesScan::process().

getSlope()

pappso::pappso_double LinearRegression::getSlope

(

)

const

Definition at line 79 of file linearregression.cpp.

{
  return m_slope;
}

References m_slope.

getYfromX()

pappso::pappso_double LinearRegression::getYfromX

(

double

score

)

const

Definition at line 84 of file linearregression.cpp.

{
  return (m_slope * x + m_intercept);
}

References m_intercept, m_slope, and pappso::x.

Referenced by getCoefficientOfDetermination(), and getRmsd().

Member Data Documentation

m_data

Trace pappso::LinearRegression::m_data

private

Definition at line 60 of file linearregression.h.

Referenced by LinearRegression(), LinearRegression(), getCoefficientOfDetermination(), getNrmsd(), getRmsd(), and getSize().

m_intercept

double pappso::LinearRegression::m_intercept = 0

private

Definition at line 59 of file linearregression.h.

Referenced by LinearRegression(), LinearRegression(), getIntercept(), and getYfromX().

m_slope

double pappso::LinearRegression::m_slope = 0

private

Definition at line 58 of file linearregression.h.

Referenced by LinearRegression(), LinearRegression(), getSlope(), and getYfromX().

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The documentation for this class was generated from the following files:

• pappsomspp/core/trace/linearregression.h
• pappsomspp/core/trace/linearregression.cpp