org.jfree.data.statistics

Class Regression

java.lang.Object

org.jfree.data.statistics.Regression

public abstract class Regression
extends java.lang.Object

A utility class for fitting regression curves to data.

Constructor Summary

Constructors

Constructor and Description
Regression()

Method Summary

Methods

Modifier and Type	Method and Description
static double[]	getOLSRegression(double[][] data) Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression.
static double[]	getOLSRegression(XYDataset data, int series) Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression.
static double[]	getPowerRegression(double[][] data) Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation.
static double[]	getPowerRegression(XYDataset data, int series) Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation.

Methods inherited from class java.lang.Object

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

Constructor Detail

Regression

public Regression()

Method Detail

getOLSRegression

public static double[] getOLSRegression(double[][] data)

Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression. The result is returned as a double[], where result[0] --> a, and result[1] --> b.

Parameters:

data - the data.

Returns:

The parameters.

getOLSRegression

public static double[] getOLSRegression(XYDataset data,
                        int series)

Returns the parameters 'a' and 'b' for an equation y = a + bx, fitted to the data using ordinary least squares regression. The result is returned as a double[], where result[0] --> a, and result[1] --> b.

Parameters:

data - the data.

series - the series (zero-based index).

Returns:

The parameters.

getPowerRegression

public static double[] getPowerRegression(double[][] data)

Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation. The result is returned as an array, where double[0] --> a, and double[1] --> b.

Parameters:

data - the data.

Returns:

The parameters.

getPowerRegression

public static double[] getPowerRegression(XYDataset data,
                          int series)

Returns the parameters 'a' and 'b' for an equation y = ax^b, fitted to the data using a power regression equation. The result is returned as an array, where double[0] --> a, and double[1] --> b.

Parameters:

data - the data.

series - the series to fit the regression line against.

Returns:

The parameters.