Class UtilityFunctions
Represents UtilityFunctions class
Inheritance
Inherited Members
Namespace: Syncfusion.Windows.Chart
Assembly: Syncfusion.Chart.Wpf.dll
Syntax
public class UtilityFunctions
Constructors
UtilityFunctions()
Declaration
public UtilityFunctions()
Methods
Beta(Double, Double)
Beta function.
Declaration
public static double Beta(double a, double b)
Parameters
Type | Name | Description |
---|---|---|
System.Double | a | |
System.Double | b |
Returns
Type |
---|
System.Double |
BetaCumulativeDistribution(Double, Double, Double)
Returns cumulative beta distribution. ( for x >= 0, a > 0, b > 0 )
Declaration
public static double BetaCumulativeDistribution(double a, double b, double x)
Parameters
Type | Name | Description |
---|---|---|
System.Double | a | |
System.Double | b | |
System.Double | x |
Returns
Type | Description |
---|---|
System.Double | Returns cumulative beta distribution. http://en.wikipedia.org/wiki/Beta_distribution) ( for x >= 0, a > 0, b > 0 ) |
BetaLn(Double, Double)
Logarithm of Beta function.
Declaration
public static double BetaLn(double a, double b)
Parameters
Type | Name | Description |
---|---|---|
System.Double | a | |
System.Double | b |
Returns
Type |
---|
System.Double |
Binomial(Int32, Int32)
Binomial coefficient n!/(k!(n-k)!) ( for n >= k >= 0 ).
Declaration
public static double Binomial(int n, int k)
Parameters
Type | Name | Description |
---|---|---|
System.Int32 | n | |
System.Int32 | k |
Returns
Type |
---|
System.Double |
Erf(Double)
Error function.
Declaration
public static double Erf(double x)
Parameters
Type | Name | Description |
---|---|---|
System.Double | x | . |
Returns
Type | Description |
---|---|
System.Double | Returns error function. |
Factorial(Int32)
Factorial n! ( for n >= 0 ).
Declaration
public static double Factorial(int n)
Parameters
Type | Name | Description |
---|---|---|
System.Int32 | n |
Returns
Type |
---|
System.Double |
FactorialLn(Int32)
Logarithm of factorial n! ( for n >= 0 ).
Declaration
public static double FactorialLn(int n)
Parameters
Type | Name | Description |
---|---|---|
System.Int32 | n |
Returns
Type |
---|
System.Double |
FCumulativeDistribution(Double, Double, Double)
Returns cumulative F distribution. ( for firstDegreeOfFreedom >= 1 and firstDegreeOfFreedom >= 1 )
Declaration
public static double FCumulativeDistribution(double fValue, double firstDegreeOfFreedom, double secondDegreeOfFreedom)
Parameters
Type | Name | Description |
---|---|---|
System.Double | fValue | |
System.Double | firstDegreeOfFreedom | |
System.Double | secondDegreeOfFreedom |
Returns
Type | Description |
---|---|
System.Double | Returns T cumulative distribution. http://en.wikipedia.org/wiki/F_distribution) ( for degreeOfFreedom > 0 ) |
Gamma(Double)
Gamma function ( for y > 0 ).
Declaration
public static double Gamma(double y)
Parameters
Type | Name | Description |
---|---|---|
System.Double | y |
Returns
Type |
---|
System.Double |
GammaCumulativeDistribution(Double, Double)
Returns cumulative gamma distribution. http://en.wikipedia.org/wiki/Gamma_distribution ( for x >= 0, a > 0 )
Declaration
public static double GammaCumulativeDistribution(double a, double x)
Parameters
Type | Name | Description |
---|---|---|
System.Double | a | |
System.Double | x |
Returns
Type | Description |
---|---|
System.Double | Returns cumulative gamma distribution. (http://en.wikipedia.org/wiki/Gamma_distribution) ( for x >= 0, a > 0 ) |
GammaLn(Double)
Natural logarithm of gamma function ( for y > 0 ).
Declaration
public static double GammaLn(double y)
Parameters
Type | Name | Description |
---|---|---|
System.Double | y |
Returns
Type |
---|
System.Double |
InverseBetaCumulativeDistribution(Double, Double, Double)
Returns inverse cumulative beta distribution. ( for 1 >= p >= 0 , a > 0, b > 0 )
Declaration
public static double InverseBetaCumulativeDistribution(double a, double b, double p)
Parameters
Type | Name | Description |
---|---|---|
System.Double | a | Beta function parameter |
System.Double | b | Beta function parameter |
System.Double | p | Probability |
Returns
Type | Description |
---|---|
System.Double | Returns inverse cumulative beta distribution. http://en.wikipedia.org/wiki/Beta_distribution) ( for p in [0,1], a > 0, b > 0 ) |
InverseErf(Double)
Inverse Error function. This is rational approximation of erf function. The absolute value of the relative error is less than 1.15·10-9 in the entire region.
Declaration
public static double InverseErf(double x)
Parameters
Type | Name | Description |
---|---|---|
System.Double | x | value x is in (-1 , 1) range. |
Returns
Type | Description |
---|---|
System.Double | Returns Value that corresponds to given x. |
InverseFCumulativeDistribution(Double, Double, Double)
Inverse cumulative F distribution. ( for firstDegreeOfFreedom >= 1 and firstDegreeOfFreedom >= 1 )
Declaration
public static double InverseFCumulativeDistribution(double p, double firstDegreeOfFreedom, double secondDegreeOfFreedom)
Parameters
Type | Name | Description |
---|---|---|
System.Double | p | Probability (must be in range [0, 1]. ) |
System.Double | firstDegreeOfFreedom | |
System.Double | secondDegreeOfFreedom |
Returns
Type | Description |
---|---|
System.Double | Inverse F cumulative distribution. http://en.wikipedia.org/wiki/F_distribution) ( for firstDegreeOfFreedom >= 1 and firstDegreeOfFreedom >= 1 ) |
InverseNormalDistribution(Double)
Inverse Normal Distribution function. This is rational approximation of Normal Distribution function. The absolute value of the relative error is less than 1.15·10-9 in the entire region. Lower tail quantile for standard normal distribution function. This function returns an approximation of the inverse cumulative standard normal distribution function. I.e., given P, it returns an approximation to the X satisfying P = Pr{Z is smaller than X} where Z is a random variable from the standard normal distribution.
Declaration
public static double InverseNormalDistribution(double p)
Parameters
Type | Name | Description |
---|---|---|
System.Double | p | Probability at which function is evaluated. p must be in ( 0,1 ) range. |
Returns
Type | Description |
---|---|
System.Double | Returns Inverse cumulative distribution. |
InverseTCumulativeDistribution(Double, Double, Boolean)
Inverse cumulative T distribution. ( for degreeOfFreedom > 0 )
Declaration
public static double InverseTCumulativeDistribution(double p, double degreeOfFreedom, bool oneTail)
Parameters
Type | Name | Description |
---|---|---|
System.Double | p | Probability (must be in range [0, 1]. ) |
System.Double | degreeOfFreedom | |
System.Boolean | oneTail |
Returns
Type | Description |
---|---|
System.Double | Inverse T cumulative distribution. http://en.wikipedia.org/wiki/T_distribution) ( for degreeOfFreedom > 0 ) |
NormalDistribution(Double)
Normal Distribution function.
Declaration
public static double NormalDistribution(double x)
Parameters
Type | Name | Description |
---|---|---|
System.Double | x | Value at which the distribution is evaluated. |
Returns
Type | Description |
---|---|
System.Double | Returns cumulative distribution. ( Returns probability that normally distributed random variable (X - mean)/sigma is smaller than x.). |
NormalDistributionDensity(Double, Double, Double)
Returns Normal Distribution density function.
Declaration
public static double NormalDistributionDensity(double x, double m, double sigma)
Parameters
Type | Name | Description |
---|---|---|
System.Double | x | Value at which the distribution density is evaluated. |
System.Double | m | Expected value of distribution (Mean value) |
System.Double | sigma | Variance of distribution |
Returns
Type |
---|
System.Double |
NormalDistributionDensityLn(Double, Double, Double)
Returns Logarithm of Normal Distribution density function.
Declaration
public static double NormalDistributionDensityLn(double x, double m, double sigma)
Parameters
Type | Name | Description |
---|---|---|
System.Double | x | Value at which the distribution density is evaluated. |
System.Double | m | Expected value of distribution (Mean value) |
System.Double | sigma | Variance of distribution |
Returns
Type |
---|
System.Double |
TCumulativeDistribution(Double, Double, Boolean)
Returns cumulative T distribution. ( for degreeOfFreedom > 0 )
Declaration
public static double TCumulativeDistribution(double tValue, double degreeOfFreedom, bool oneTail)
Parameters
Type | Name | Description |
---|---|---|
System.Double | tValue | |
System.Double | degreeOfFreedom | |
System.Boolean | oneTail |
Returns
Type | Description |
---|---|
System.Double | Returns T cumulative distribution. http://en.wikipedia.org/wiki/T_distribution) ( for degreeOfFreedom > 0 ) |