org.jfree.data.statistics

Class Regression

public abstract class Regression extends 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 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.