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java.lang.Object | +--org.jfree.data.Regression
A utility class for fitting regression curves to data.
Constructor Summary | |
Regression()
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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. |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
public Regression()
Method Detail |
public static double[] getOLSRegression(double[][] data)
The result is returned as a double[], where result[0] --> a, and result[1] --> b.
data
- the data.
public static double[] getOLSRegression(XYDataset data, int series)
The result is returned as a double[], where result[0] --> a, and result[1] --> b.
data
- the data.series
- the series (zero-based index).
public static double[] getPowerRegression(double[][] data)
The result is returned as an array, where double[0] --> a, and double[1] --> b.
data
- the data.
public static double[] getPowerRegression(XYDataset data, int series)
The result is returned as an array, where double[0] --> a, and double[1] --> b.
data
- the data.series
- the series to fit the regression line against.
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