at.mug.iqm.commons.util

Class AllometricScaling

java.lang.Object

at.mug.iqm.commons.util.AllometricScaling

public class AllometricScaling
extends Object

Fractal Dimension using Allometric Scaling

Since:

2013 09

Author:

Helmut Ahammer

Field Summary

Fields

Modifier and Type	Field and Description
private AbstractOperator	operator
private int	progressBarMax
private int	progressBarMin

Constructor Summary

Constructors

Constructor and Description
AllometricScaling() This is the standard constructor
AllometricScaling(AbstractOperator operator) This is the standard constructor with the possibility to import calling class This is useful for progress bar and canceling functionality

Method Summary

Modifier and Type	Method and Description
double[]	calcLogRegression(Vector[] asData, int regStart, int regEnd, String plotName, boolean showPlot, boolean deleteExistingPlot)
private double	calcMean(Vector<Double> data) This method calculates the mean of a series
Vector[]	calcMeansAndVariances(Vector<Double> data) This method calculates the standard deviations and the means of the downscaled data series
private double	calcStdDev(Vector<Double> data, double mean) This method calculates the standard deviation of a series
private double	calcVariance(Vector<Double> data, double mean) This method calculates the variance of a series
int	getProgressBarMax()
int	getProgressBarMin()
void	setProgressBarMax(int progressBarMax)
void	setProgressBarMin(int progressBarMin)

Methods inherited from class java.lang.Object

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

Field Detail

operator

private AbstractOperator operator

progressBarMin

private int progressBarMin

progressBarMax

private int progressBarMax

Constructor Detail

AllometricScaling

public AllometricScaling(AbstractOperator operator)

This is the standard constructor with the possibility to import calling class This is useful for progress bar and canceling functionality

Parameters:

operator -

AllometricScaling

public AllometricScaling()

This is the standard constructor

Method Detail

getProgressBarMin

public int getProgressBarMin()

setProgressBarMin

public void setProgressBarMin(int progressBarMin)

getProgressBarMax

public int getProgressBarMax()

setProgressBarMax

public void setProgressBarMax(int progressBarMax)

calcMean

private double calcMean(Vector<Double> data)

This method calculates the mean of a series

Parameters:

data - a vector of doubles

Returns:

double

calcStdDev

private double calcStdDev(Vector<Double> data,
                          double mean)

This method calculates the standard deviation of a series

Parameters:

data - a vector of doubles

mean -

Returns:

double

calcVariance

private double calcVariance(Vector<Double> data,
                            double mean)

This method calculates the variance of a series

Parameters:

data - the data

mean -

Returns:

double

calcMeansAndVariances

public Vector[] calcMeansAndVariances(Vector<Double> data)

This method calculates the standard deviations and the means of the downscaled data series

Parameters:

data - 1D data vector

Returns:

Vector[] array of two vectors

calcLogRegression

public double[] calcLogRegression(Vector[] asData,
                                  int regStart,
                                  int regEnd,
                                  String plotName,
                                  boolean showPlot,
                                  boolean deleteExistingPlot)

Parameters:

asData - data pairs

regStart -

regEnd -

plotName - the name

showPlot -

deleteExistingPlot -

Returns:

double[] result