C# Class LitDev.LDStatistics

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Méthodes publiques

Méthode	Description
Differentiate ( Primitive array ) : Primitive	Calculate the derivative of a 1D data array.
DistBinomial ( Primitive n, Primitive p ) : Primitive	Create an array with a Binomial distribution. This is like the probablity of getting k heads from 20 (n) coin tosses, with a probablity for each toss getting a heads of 0.5 (p).
DistNormal ( Primitive distMean, Primitive distSTD, Primitive size ) : Primitive	Create an array with a Normal distribution.
DistTriangular ( Primitive rangeMin, Primitive rangeMax, Primitive size ) : Primitive	Create an array with a Triangular distribution.
DistUniform ( Primitive rangeMin, Primitive rangeMax, Primitive size ) : Primitive	Create an array with a Uniform distribution.
Frequency ( Primitive array, Primitive bins, Primitive normalised ) : Primitive	Calculate a frequency distribution from array of data.
Integrate ( Primitive array ) : Primitive	Calculate the integral of a 1D data array.
InterpolateX ( Primitive array, Primitive y ) : Primitive	Interpolate a 1D data array to find the value of x(y). The values of y should be monotonically increasing with x.
InterpolateY ( Primitive array, Primitive x ) : Primitive	Interpolate a 1D data array to find the value of y(x). The values of x should be monotonically increasing.
SetArray ( Primitive array ) : Primitive	Set a 1D array of numbers to perform some statistics on. This command must be called before any statistics are calculated.

Private Methods

Méthode	Description
binomial ( int n, int k ) : double
factorial ( int n ) : double
formData ( string array ) : void
interpolateX ( double y ) : double
interpolateY ( double x ) : double
setData ( string array ) : void
setPoints ( string array ) : void

Method Details

Differentiate() public static méthode

Calculate the derivative of a 1D data array.

public static Differentiate ( Primitive array ) : Primitive
array	Primitive	The array to differentiate (array[x]=y).
Résultat	Primitive

DistBinomial() public static méthode

Create an array with a Binomial distribution. This is like the probablity of getting k heads from 20 (n) coin tosses, with a probablity for each toss getting a heads of 0.5 (p).

public static DistBinomial ( Primitive n, Primitive p ) : Primitive
n	Primitive	The number of tries.
p	Primitive	The probablity of success for each try.
Résultat	Primitive

DistNormal() public static méthode

Create an array with a Normal distribution.

public static DistNormal ( Primitive distMean, Primitive distSTD, Primitive size ) : Primitive
distMean	Primitive	The mean of the distribution.
distSTD	Primitive	The standard deviation of the distribution.
size	Primitive	The number of points.
Résultat	Primitive

DistTriangular() public static méthode

Create an array with a Triangular distribution.

public static DistTriangular ( Primitive rangeMin, Primitive rangeMax, Primitive size ) : Primitive
rangeMin	Primitive	The minimum value.
rangeMax	Primitive	The maximum value.
size	Primitive	The number of points.
Résultat	Primitive

DistUniform() public static méthode

Create an array with a Uniform distribution.

public static DistUniform ( Primitive rangeMin, Primitive rangeMax, Primitive size ) : Primitive
rangeMin	Primitive	The minimum value.
rangeMax	Primitive	The maximum value.
size	Primitive	The number of points.
Résultat	Primitive

Frequency() public static méthode

Calculate a frequency distribution from array of data.

public static Frequency ( Primitive array, Primitive bins, Primitive normalised ) : Primitive
array	Primitive	The array to create the frequency distribution from.
bins	Primitive	The number of bins spanning the data.
normalised	Primitive	Is the frequency normalised to integrate to 1 ("True" or "False").
Résultat	Primitive

Integrate() public static méthode

Calculate the integral of a 1D data array.

public static Integrate ( Primitive array ) : Primitive
array	Primitive	The array to integrate (array[x]=y).
Résultat	Primitive

InterpolateX() public static méthode

Interpolate a 1D data array to find the value of x(y). The values of y should be monotonically increasing with x.

public static InterpolateX ( Primitive array, Primitive y ) : Primitive
array	Primitive	The array to interpolate (array[x]=y).
y	Primitive	The value of y (may be an array of y values).
Résultat	Primitive

InterpolateY() public static méthode

Interpolate a 1D data array to find the value of y(x). The values of x should be monotonically increasing.

public static InterpolateY ( Primitive array, Primitive x ) : Primitive
array	Primitive	The array to interpolate (array[x]=y).
x	Primitive	The value of x (may be an array of x values).
Résultat	Primitive

SetArray() public static méthode

Set a 1D array of numbers to perform some statistics on. This command must be called before any statistics are calculated.

public static SetArray ( Primitive array ) : Primitive
array	Primitive	/// The array to perform statistics on. ///
Résultat	Primitive