org.jfree.data.statistics

Class Regression


public abstract class Regression
extends java.lang.Object

A utility class for fitting regression curves to data.

Method Summary

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.

Method Details

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.