edu.ucla.stat.SOCR.analyses.model

Class Regression

java.lang.Object

edu.ucla.stat.SOCR.analyses.model.Regression

public class Regression
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
Regression()

Method Summary

Methods

Modifier and Type	Method and Description
static double[]	diff(double[] data)
static java.util.LinkedHashSet<java.lang.String>	levelFactor(java.lang.String[] x)
static double	mean(double[] data)
static double	sampleCovariance(double[] dataX, double[] dataY)
static double	sampleVariance(double[] data)
static double	sumOfSquares(double[] data)

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

mean

public static double mean(double[] data)
                   throws DataIsEmptyException

Throws:

DataIsEmptyException

diff

public static double[] diff(double[] data)
                     throws DataIsEmptyException

Throws:

DataIsEmptyException

sumOfSquares

public static double sumOfSquares(double[] data)
                           throws DataIsEmptyException

Throws:

DataIsEmptyException

sampleVariance

public static double sampleVariance(double[] data)
                             throws DataIsEmptyException

Throws:

DataIsEmptyException

sampleCovariance

public static double sampleCovariance(double[] dataX,
                      double[] dataY)
                               throws DataIsEmptyException

Throws:

DataIsEmptyException

levelFactor

public static java.util.LinkedHashSet<java.lang.String> levelFactor(java.lang.String[] x)