vec_math
Class StatisticAnalyser

java.lang.Object
  util.PropertyContainer
      util.PropertyResources
          util.PropertyBundles
              vec_math.AbstractAnalyser
                  vec_math.StatisticAnalyser

All Implemented Interfaces:

Cloneable, Initializable, LocalizedSupplying, PropertySupplying, ResourceSupplying, Analyser

public class StatisticAnalyser
extends AbstractAnalyser

Acts on data at a given index.

Nested Class Summary

static class

StatisticAnalyser.File Use the statistic on file data.

Nested classes/interfaces inherited from class util.PropertyResources

PropertyResources.URLResource

Field Summary

private ClassicStatistic[]

stat For each index processed, we create a statistic.

Fields inherited from class util.PropertyBundles

KEY_LOCALECOUNTRY, KEY_LOCALELANGUAGE, KEY_RESOURCEBUNDLES

Fields inherited from class util.PropertyResources

KEY_NOINITONCREATE, localurl, locate, POSTFIX_DIR, POSTFIX_EXT, POSTFIX_FILE, POSTFIX_LIST, POSTFIX_URL, urlset

Fields inherited from class util.PropertyContainer

KEY_LISTSEPARATOR, KEY_MAPKEYVALUECHAR, KEY_MAPSEPARATOR

Fields inherited from interface util.ResourceSupplying

KEY_URLRESOURCES, KEY_URLUSECONFIG, KEY_URLUSECURRENT, KEY_URLUSEHOME

Fields inherited from interface util.PropertySupplying

CONFIG, KEY_CLASS

Constructor Summary

StatisticAnalyser(Map<String,String> prop)
Creates a new phase dispersion minimizer.

Method Summary

void	addValue(VectorG data) Adds a data point to the statistic with the given index.
private ClassicStatistic[]	createStatistic(int dim) Create the statistic object.
void	deleteValue(VectorG data) Removes a data point to the statistic with the given index.
long[]	functionCalls(VectorG[] in) We call only basic functions.
VectorG	getStatistic(int index) Returns the average of the data, the standard deviation, skewness and kurtoises.
Object[]	metadata(VectorG[] in, VectorG[] proc, VectorG[] visual) Minimum string length analysis have no metadata.
VectorG[]	process(VectorG[] in) Calls the processing on all indices.
void	reset() Default reset does nothing.
double	significance(double theta, VectorG[] data, VectorG[] p, VectorG[] v) Estimates the significance of a theta value by simple means of chi-square thesis.
VectorG[]	visualize(VectorG[] in, VectorG[] v) Data is already reduced to minimum.

Methods inherited from class vec_math.AbstractAnalyser

getBootstrapData, getBootstrapData, getDiminishedData, getDiminishedData, getSyntheticData, getSyntheticData, runningAverage

Methods inherited from class util.PropertyBundles

clone, getLocalized, getLocalized, getLocalizedString, getLocalizedString, loadResource

Methods inherited from class util.PropertyResources

createFrom, createFrom, createFrom, getApplet, getAsResources, getLocalClassLoader, getPropertiesToKey, getPropertiesToKey, getResource, getResourceAsStream, getResourceFromKey, getResources, init, keyCreate, keyCreate, reload, setApplet

Methods inherited from class util.PropertyContainer

augment, augment, augment, defaultBoolean, defaultChar, defaultDouble, defaultFloat, defaultInt, defaultLong, defaultObject, defaultObject, defaultProperties, defaultProperty, getAsBoolean, getAsChar, getAsDouble, getAsEnums, getAsFloat, getAsInt, getAsList, getAsLong, getAsMap, getAsMap, getAsObject, getAsObject, getProperties, getProperty, has, isNew, parseObject, reload, removeProperty, rescanned, setObject, setProperties, setProperty, stringProperties, toString

Methods inherited from class java.lang.Object

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

Methods inherited from interface util.ResourceSupplying

getResource, getResourceAsStream, getResources

Methods inherited from interface util.PropertySupplying

defaultBoolean, defaultChar, defaultDouble, defaultFloat, defaultInt, defaultLong, defaultObject, defaultObject, defaultProperties, defaultProperty, getAsBoolean, getAsChar, getAsDouble, getAsFloat, getAsInt, getAsList, getAsLong, getAsMap, getAsObject, getAsObject, getProperties, getProperty, has, parseObject, removeProperty, setObject, setProperty, stringProperties

Methods inherited from interface util.Initializable

init

Field Detail

stat

private ClassicStatistic[] stat

For each index processed, we create a statistic.

Constructor Detail

StatisticAnalyser

public StatisticAnalyser(Map<String,String> prop)

Creates a new phase dispersion minimizer.

Method Detail

reset

public void reset()

Description copied from class: AbstractAnalyser

Default reset does nothing.

Specified by:

reset in interface Analyser

Overrides:

reset in class AbstractAnalyser

functionCalls

public long[] functionCalls(VectorG[] in)

We call only basic functions.

Returns:

null If unknown.

process

public VectorG[] process(VectorG[] in)

Calls the processing on all indices. The returned array has a length of in[0].dimension. Each vector gives the average, sigma, skew, and kurt

Parameters:

in - The measured data.

Returns:

Processed data of the same length as input data.

visualize

public VectorG[] visualize(VectorG[] in,
                           VectorG[] v)

Data is already reduced to minimum.

Specified by:

visualize in interface Analyser

Overrides:

visualize in class AbstractAnalyser

Parameters:

in - The measured data.

v - The processed data from Analyser.process(vec_math.VectorG[]).

Returns:

Visualizable data derived from processed one.

metadata

public Object[] metadata(VectorG[] in,
                         VectorG[] proc,
                         VectorG[] visual)

Minimum string length analysis have no metadata.

Parameters:

in - The original data, before process.

proc - The processed data from process(vec_math.VectorG[]).

visual - The visualized data from visualize(vec_math.VectorG[], vec_math.VectorG[]).

significance

public double significance(double theta,
                           VectorG[] data,
                           VectorG[] p,
                           VectorG[] v)

Estimates the significance of a theta value by simple means of chi-square thesis. Eq. 5, p 954, only for high n (n=sum(nj)-M).

Parameters:

theta - The value whose significance is to be probed.

data - The original data, before process.

p - The processed data from Analyser.process(vec_math.VectorG[]).

v - The visualized data from Analyser.visualize(vec_math.VectorG[], vec_math.VectorG[]).

Returns:

A significance, 1-false-Alarm probability

getStatistic

public VectorG getStatistic(int index)

Returns the average of the data, the standard deviation, skewness and kurtoises.

addValue

public void addValue(VectorG data)

Adds a data point to the statistic with the given index.

deleteValue

public void deleteValue(VectorG data)

Removes a data point to the statistic with the given index.

createStatistic

private ClassicStatistic[] createStatistic(int dim)

Create the statistic object.