pamMaths
Class STD

java.lang.Object
  pamMaths.STD

public class STD
extends java.lang.Object

Calculate the mean and standard deviation of an double array.

Author:

Doug Gillespie

Field Summary

private double[]	data
private double	mean
private double	std

Constructor Summary

STD()

Method Summary

private void	calculate(double[] data)
double[]	getData() Get the data previously set with calls to STD and Mean funcs
double	getMean() Get the mean value calculated in a previous call to getSTD(double[] data) or getMean(double[] data)
double	getMean(double[] data) Calculate the mean and standard deviation using new data
double	getSkew() Get the skew as per page 612 or numerical recipes.
double	getSTD() Get the standard deviation calculated in a previous call to getSTD(double[] data) or getMean(double[] data)
double	getSTD(double[] data) Calculate the mean and standard deviation using new data

Methods inherited from class java.lang.Object

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

Field Detail

data

private double[] data

mean

private double mean

std

private double std

Constructor Detail

STD

public STD()

Method Detail

getSTD

public double getSTD(double[] data)

Calculate the mean and standard deviation using new data

Parameters:

data - data array

Returns:

standard deviation

getSTD

public double getSTD()

Get the standard deviation calculated in a previous call to getSTD(double[] data) or getMean(double[] data)

Returns:

standard deviation

getMean

public double getMean(double[] data)

Calculate the mean and standard deviation using new data

Parameters:

data - data array

Returns:

mean value

getMean

public double getMean()

Get the mean value calculated in a previous call to getSTD(double[] data) or getMean(double[] data)

Returns:

mean

calculate

private void calculate(double[] data)

getData

public double[] getData()

Get the data previously set with calls to STD and Mean funcs

Returns:

data array

getSkew

public double getSkew()

Get the skew as per page 612 or numerical recipes.

Returns:

the skew of the data