edu.ucla.stat.SOCR.util
Class AnalysisUtility

java.lang.Object
  edu.ucla.stat.SOCR.util.AnalysisUtility

public class AnalysisUtility
extends java.lang.Object

Field Summary

static java.lang.String	closeToZero
static double	HIGH_CORRELATION
static int	NUMBER_OF_DUMMY_DIGITS
static double	PRECISION_TOLERANCE

Constructor Summary

AnalysisUtility()

Method Summary

static boolean	dataColinear(double[] x, double[] y)
static double[]	diff(double[] data)
static Matrix	eliminationGaussJordan(Matrix matrixInput)
static java.lang.String	enhanceSmallNumber(double original)
static int	factorial(int input)
static java.math.BigInteger	factorialBigInt(int input)
static double	functionRootBrentDekker(double a, double b, MathFunction f, double tol) Computes a root of the function using the Brent-Dekker method.
static byte[][]	getDummyMatrix(java.lang.String[] groups)
static double[]	getGenericNormalQuantile(double mean, double sd, int m)
static double	getNormalCriticalPoint(double alpha)
static double[]	getNormalQuantile(int m)
static double[]	getQuantileArray(double[] input)
static java.util.HashMap<java.lang.String,java.lang.Object>	getResidualNormalQuantiles(double[] residual, int degreesFreedom)
static DataCase[]	getSortedRedidual(double[] residual)
static double[]	getStandardizedResidual(DataCase[] residual, int df)
static double[]	getStandardizedResidual(double[] residual, int degreesFreedom)
static double[]	getStandardNormalQuantile(int m)
static double	getStudentTCriticalPoint(double alpha, int df)
static Matrix	inverse(Matrix matrix)
static java.util.LinkedHashSet<java.lang.String>	levelFactor(java.lang.String[] x)
static java.util.TreeSet<java.lang.String>	levelFactorTree(java.lang.String[] x)
static void	main(java.lang.String[] args)
static double	mean(double[] data)
static double	meanSquaredError(double[] data, int degreesFreedom)
static java.math.BigInteger	product(java.math.BigInteger[] data)
static double	product(double[] data)
static double	sampleCorrelation(double[] dataX, double[] dataY)
static double	sampleCovariance(double[] dataX, double[] dataY)
static double	sampleVariance(double[] data)
static double	sum(double[] data)
static double	sumOfSquares(double[] data)
static double	sumPossitiveIntegerSequenceFromOne(int end)
static double	sumPossitiveIntegerSequencePartial(int start, int end)
static java.lang.String[][]	truncateDigits(double[][] input, int numberDigits)
static java.lang.String[]	truncateDigits(double[] input, int numberDigits)
static java.lang.String	truncateDigits(double input, int numberDigits) CODE EXAMPLE
static double	variance(double[] data)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

PRECISION_TOLERANCE

public static final double PRECISION_TOLERANCE

See Also:

Constant Field Values

closeToZero

public static final java.lang.String closeToZero

See Also:

Constant Field Values

HIGH_CORRELATION

public static final double HIGH_CORRELATION

See Also:

Constant Field Values

NUMBER_OF_DUMMY_DIGITS

public static final int NUMBER_OF_DUMMY_DIGITS

See Also:

Constant Field Values

Constructor Detail

AnalysisUtility

public AnalysisUtility()

Method Detail

sum

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

Throws:

DataIsEmptyException

product

public static java.math.BigInteger product(java.math.BigInteger[] data)
                                    throws DataIsEmptyException

Throws:

DataIsEmptyException

product

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

Throws:

DataIsEmptyException

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

variance

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

Throws:

DataIsEmptyException

meanSquaredError

public static double meanSquaredError(double[] data,
                                      int degreesFreedom)
                               throws DataIsEmptyException

Throws:

DataIsEmptyException

sampleCovariance

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

Throws:

DataIsEmptyException

sampleCorrelation

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

Throws:

DataIsEmptyException

getNormalQuantile

public static double[] getNormalQuantile(int m)

getStandardNormalQuantile

public static double[] getStandardNormalQuantile(int m)

getGenericNormalQuantile

public static double[] getGenericNormalQuantile(double mean,
                                                double sd,
                                                int m)

getQuantileArray

public static double[] getQuantileArray(double[] input)

getResidualNormalQuantiles

public static java.util.HashMap<java.lang.String,java.lang.Object> getResidualNormalQuantiles(double[] residual,
                                                                                              int degreesFreedom)

getSortedRedidual

public static DataCase[] getSortedRedidual(double[] residual)

getStandardizedResidual

public static double[] getStandardizedResidual(DataCase[] residual,
                                               int df)
                                        throws DataIsEmptyException

Throws:

DataIsEmptyException

getStandardizedResidual

public static double[] getStandardizedResidual(double[] residual,
                                               int degreesFreedom)
                                        throws DataIsEmptyException

Throws:

DataIsEmptyException

levelFactorTree

public static java.util.TreeSet<java.lang.String> levelFactorTree(java.lang.String[] x)

levelFactor

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

getDummyMatrix

public static byte[][] getDummyMatrix(java.lang.String[] groups)

inverse

public static Matrix inverse(Matrix matrix)

eliminationGaussJordan

public static Matrix eliminationGaussJordan(Matrix matrixInput)

factorialBigInt

public static java.math.BigInteger factorialBigInt(int input)

factorial

public static int factorial(int input)

sumPossitiveIntegerSequencePartial

public static double sumPossitiveIntegerSequencePartial(int start,
                                                        int end)

sumPossitiveIntegerSequenceFromOne

public static double sumPossitiveIntegerSequenceFromOne(int end)

enhanceSmallNumber

public static java.lang.String enhanceSmallNumber(double original)

dataColinear

public static boolean dataColinear(double[] x,
                                   double[] y)

truncateDigits

public static java.lang.String truncateDigits(double input,
                                              int numberDigits)

CODE EXAMPLE

truncateDigits

public static java.lang.String[] truncateDigits(double[] input,
                                                int numberDigits)

truncateDigits

public static java.lang.String[][] truncateDigits(double[][] input,
                                                  int numberDigits)

getNormalCriticalPoint

public static double getNormalCriticalPoint(double alpha)

getStudentTCriticalPoint

public static double getStudentTCriticalPoint(double alpha,
                                              int df)

functionRootBrentDekker

public static double functionRootBrentDekker(double a,
                                             double b,
                                             MathFunction f,
                                             double tol)

Computes a root of the function using the Brent-Dekker method.

Parameters:

a - left endpoint of initial interval

b - right endpoint of initial interval

f - the function which is evaluated

tol - accuracy goal

Returns:

double x, the root, where f(x)=0

main

public static void main(java.lang.String[] args)