Package org.mariuszgromada.math.mxparser.mathcollection

Class Statistics

java.lang.Object

org.mariuszgromada.math.mxparser.mathcollection.Statistics

public final class Statistics
extends Object

Statistics - i.e.: mean, variance, standard deviation, etc.

Version:

5.2.0

Author:

Mariusz Gromada
MathParser.org - mXparser project page
mXparser on GitHub
INFIMA place to purchase a commercial MathParser.org-mXparser software license
info@mathparser.org
ScalarMath.org - a powerful math engine and math scripting language
Scalar Lite
Scalar Pro
MathSpace.pl

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or support me purchasing the license via ORDER Page , or INFIMA online store

Constructor Summary

Constructors

Constructor	Description
Statistics()

Method Summary

Modifier and Type	Method	Description
static double	avg(double... numbers)	Sample average.
static double	avg(Expression f, Argument index, double from, double to, double delta)	Average from sample function values - iterative operator.
static double	median(double... numbers)	Sample median
static double	mode(double... numbers)	Sample mode
static double	std(double... numbers)	Sample standard deviation (biased-corrected).
static double	std(Expression f, Argument index, double from, double to, double delta)	Bias-corrected standard deviation from sample function values - iterative operator.
static double	var(double... numbers)	Sample variance (biased-corrected).
static double	var(Expression f, Argument index, double from, double to, double delta)	Bias-corrected variance from sample function values - iterative operator.

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

avg

public static double avg(Expression f,
                         Argument index,
                         double from,
                         double to,
                         double delta)

Average from sample function values - iterative operator.

Parameters:

f - the expression

index - the name of index argument

from - FROM index = form

to - TO index = to

delta - BY delta

Returns:

product operation (for empty product operations returns 1).

See Also:

Expression, Argument

var

public static double var(Expression f,
                         Argument index,
                         double from,
                         double to,
                         double delta)

Bias-corrected variance from sample function values - iterative operator.

Parameters:

f - the expression

index - the name of index argument

from - FROM index = form

to - TO index = to

delta - BY delta

Returns:

product operation (for empty product operations returns 1).

See Also:

Expression, Argument

std

public static double std(Expression f,
                         Argument index,
                         double from,
                         double to,
                         double delta)

Bias-corrected standard deviation from sample function values - iterative operator.

Parameters:

f - the expression

index - the name of index argument

from - FROM index = form

to - TO index = to

delta - BY delta

Returns:

product operation (for empty product operations returns 1).

See Also:

Expression, Argument

avg

public static double avg(double... numbers)

Sample average.

Parameters:

numbers - the numbers

Returns:

if each number from numbers <> Double.NaN returns avg(a_1,...,a_n) a_1,...,a_n in numbers, otherwise returns Double.NaN.

var

public static double var(double... numbers)

Sample variance (biased-corrected).

Parameters:

numbers - the numbers

Returns:

if each number from numbers <> Double.NaN returns Var(a_1,...,a_n) a_1,...,a_n in numbers, otherwise returns Double.NaN.

std

public static double std(double... numbers)

Sample standard deviation (biased-corrected).

Parameters:

numbers - the numbers

Returns:

if each number from numbers <> Double.NaN returns Std(a_1,...,a_n) a_1,...,a_n in numbers, otherwise returns Double.NaN.

median

public static double median(double... numbers)

Sample median

Parameters:

numbers - List of number

Returns:

Sample median, if table was empty or null then Double.NaN is returned.

mode

public static double mode(double... numbers)

Sample mode

Parameters:

numbers - List of number

Returns:

Sample median, if table was empty or null then Double.NaN is returned.