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

Constructor Summary

Constructors

Constructor and Description
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 Detail

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 Detail

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