Package com.compomics.util.math.statistics.linear_regression

Class RegressionStatistics

java.lang.Object

com.compomics.util.math.statistics.linear_regression.RegressionStatistics

public class RegressionStatistics
extends Object

Results of a linear regression of equation y = a.x + b and Pearson correlation r.

Author:

Marc Vaudel

Field Summary

Fields

Modifier and Type	Field	Description
final Double	a	a in y = a.x + b
final Double	b	b in y = a.x + b
final Double	meanDistance	The mean of the squared distance of the points to the regression line.
final Double	medianDistance	The median of the squared distance of the points to the regression line.
final Double	rSquared	The coefficient of determination.

Constructor Summary

Constructors

Constructor	Description
RegressionStatistics()	Empty default constructor
RegressionStatistics(Double a, Double b, Double rSquared, Double meanDistance, Double medianDistance)	Constructor.

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

a

public final Double a

a in y = a.x + b

b

public final Double b

b in y = a.x + b

rSquared

public final Double rSquared

The coefficient of determination.

meanDistance

public final Double meanDistance

The mean of the squared distance of the points to the regression line.

medianDistance

public final Double medianDistance

The median of the squared distance of the points to the regression line.

Constructor Details

RegressionStatistics

public RegressionStatistics()

Empty default constructor

RegressionStatistics

public RegressionStatistics(Double a,
 Double b,
 Double rSquared,
 Double meanDistance,
 Double medianDistance)

Constructor.

Parameters:

a - a

b - b

rSquared - r squared

meanDistance - the mean of the squared distance of the points to the regression line

medianDistance - the median of the squared distance of the points to the regression line