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java.lang.Objectorg.jfree.data.statistics.Regression
public abstract class Regression
A utility class for fitting regression curves to data.
Constructor Summary | |
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Regression()
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Method Summary | |
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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[] |
getPolynomialRegression(XYDataset dataset,
int series,
int order)
Returns the parameters 'a0', 'a1', 'a2', ..., 'an' for a polynomial function of order n, y = a0 + a1 * x + a2 * x^2 + ... |
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 |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public Regression()
Method Detail |
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public static double[] getOLSRegression(double[][] data)
data
- the data.
public static double[] getOLSRegression(XYDataset data, int series)
data
- the data.series
- the series (zero-based index).
public static double[] getPowerRegression(double[][] data)
data
- the data.
public static double[] getPowerRegression(XYDataset data, int series)
data
- the data.series
- the series to fit the regression line against.
public static double[] getPolynomialRegression(XYDataset dataset, int series, int order)
dataset
- the dataset (null
not permitted).series
- the series to fit the regression line against (the series
must have at least order + 1 non-NaN items).order
- the order of the function (> 0).
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