lt.monarch.math
Class Statistics

java.lang.Object
  lt.monarch.math.Statistics

public class Statistics
extends java.lang.Object

Constructor and Description

Statistics()

Method Summary

Modifier and Type	Method and Description
static double	average(java.util.List<java.lang.Object> values) Calculates the man value of input data.
static double	c4(double x) C4 function
static double	cumulative(double x, double mu, double sigma) Cumulative normal distribution
static double	Gamma(double x) Gamma function
static boolean	isNormalDistribution(java.util.List<java.lang.Double> d) Deprecated.
static double	max(java.util.Collection<java.lang.Object> values) Get maximum
static double	mean(ArrayDataModel model, DataColumnType valType) Calculates mean value.
static double	median(ArrayDataModel model, DataColumnType valType) Calculates median value.
static double	median(java.util.List<java.lang.Object> values)
static double	min(java.util.List<java.lang.Object> values) Get minimum
static double	normal(double x) Normal distribution
static double	normal(double x, double mean, double std)
static double	normp(double z) Cumulative normal distribution
static float	randomLevy(float c, float alpha)
static StatResults	stat(ArrayDataModel model, DataColumnType valType) Return mean, variance and standard deviation in StatResults object.
static double	stdev(ArrayDataModel model, DataColumnType valType) Calculates standard deviation value
static double[]	swilk(java.util.List<java.lang.Double> d) Runs the Shapiro-Wilk test on a list of double values.
static double	variance(ArrayDataModel model, DataColumnType valType) Calculates variance value

Methods inherited from class java.lang.Object

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

Constructor Detail

Statistics

public Statistics()

Method Detail

median

public static double median(ArrayDataModel model,
                            DataColumnType valType)

Calculates median value. Nulls are skipped. Median is calculated according the specified data column. The other data column is not taken into account.

Parameters:

model - data model

valType - data model column name

Returns:

median value

mean

public static double mean(ArrayDataModel model,
                          DataColumnType valType)

Calculates mean value. Nulls are skipped.

Parameters:

model - data model

valType - value type which will be used to calculate

Returns:

mean value

stat

public static StatResults stat(ArrayDataModel model,
                               DataColumnType valType)

Return mean, variance and standard deviation in StatResults object. Other values in StatResults object remain Double.NaN type.

Parameters:

model - data model

valType - value type which will be used to calculate

Returns:

mean, variance, standard deviation

stdev

public static double stdev(ArrayDataModel model,
                           DataColumnType valType)

Calculates standard deviation value

Parameters:

model - data model

valType - value type which will be used to calculate

Returns:

standard deviation value

variance

public static double variance(ArrayDataModel model,
                              DataColumnType valType)

Calculates variance value

Parameters:

model - data model

valType - value type which will be used to calculate

Returns:

variance value

Gamma

public static double Gamma(double x)

Gamma function

Parameters:

x -

Returns:

c4

public static double c4(double x)

C4 function

Parameters:

x -

Returns:

normp

public static double normp(double z)

Cumulative normal distribution

Parameters:

z -

Returns:

cumulative

public static double cumulative(double x,
                                double mu,
                                double sigma)

Cumulative normal distribution

Parameters:

x -

mu -

sigma -

Returns:

normal

public static double normal(double x)

Normal distribution

Parameters:

x -

Returns:

normal

public static double normal(double x,
                            double mean,
                            double std)

average

public static double average(java.util.List<java.lang.Object> values)
                      throws DataFormatException

Calculates the man value of input data. Ignores null and empty values in the input data.

Parameters:

values - list of numbers

Returns:

mean value

Throws:

DataFormatException - then list is empty, or values list does not contain numbers.

min

public static double min(java.util.List<java.lang.Object> values)
                  throws DataFormatException

Get minimum

Parameters:

values - list of numbers

Returns:

Throws:

DataFormatException

max

public static double max(java.util.Collection<java.lang.Object> values)
                  throws DataFormatException

Get maximum

Parameters:

values - list of numbers

Returns:

Throws:

DataFormatException

median

public static double median(java.util.List<java.lang.Object> values)

isNormalDistribution

@Deprecated
public static boolean isNormalDistribution(java.util.List<java.lang.Double> d)

Deprecated.

swilk

public static double[] swilk(java.util.List<java.lang.Double> d)

Runs the Shapiro-Wilk test on a list of double values.

Returns:

an array of size two if everything goes well, or null if there's an error.

randomLevy

public static float randomLevy(float c,
                               float alpha)