Altaxo user manual and class reference
Altaxo class reference
Altaxo Namespaces
Altaxo.Calc Namespaces
Altaxo.Calc
SpecialFunctions Class
SpecialFunctions Methods
AiryAi Method
AiryAiPrime Method
AiryAiPrimeScaled Method
AiryAiScaled Method
AiryBi Method
AiryBiPrime Method
AiryBiPrimeScaled Method
AiryBiScaled Method
BesselI Method
BesselI0 Method
BesselI0MStruveL0 Method
BesselI1 Method
BesselI1MStruveL1 Method
BesselIScaled Method
BesselJ Method
BesselJScaled Method
BesselK Method
BesselK0 Method
BesselK0e Method
BesselK1 Method
BesselK1e Method
BesselKScaled Method
BesselY Method
BesselYScaled Method
Beta Method
BetaIncomplete Method
BetaLn Method
BetaRegularized Method
Binomial Method
BinomialLn Method
DiGamma Method
DiGammaInv Method
Erf Method
Erfc Method
ErfcInv Method
ErfInv Method
Expm1 Method
ExponentialIntegral Method
ExponentialMinusOne Method
Factorial Method
FactorialLn Method
FallingFactorial Method
Gamma Method
GammaLn Method
GammaLowerIncomplete Method
GammaLowerRegularized Method
GammaLowerRegularizedInv Method
GammaUpperIncomplete Method
GammaUpperRegularized Method
GeneralHarmonic Method
GeneralizedHypergeometric Method
HankelH1 Method
HankelH1Scaled Method
HankelH2 Method
HankelH2Scaled Method
Harmonic Method
Hypotenuse Method
KelvinBe Method
KelvinBei Method
KelvinBeiPrime Method
KelvinBer Method
KelvinBerPrime Method
KelvinKe Method
KelvinKei Method
KelvinKeiPrime Method
KelvinKer Method
KelvinKerPrime Method
Log1p Method
Logistic Method
Logit Method
MarcumQ Method
MittagLefflerE Method
Multinomial Method
RisingFactorial Method
SphericalBesselJ Method
SphericalBesselY Method
StruveL0 Method
StruveL1 Method
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SpecialFunctionsLogit Method

Computes the logit function, the inverse of the sigmoid logistic function. see: http://en.wikipedia.org/wiki/Logit

Namespace: Altaxo.Calc
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
Syntax
C#
Copy
public static double Logit(
	double p
)

Parameters

p  Double
The parameter for which to compute the logit function. This number should be between 0 and 1.

Return Value

Double
The logarithm of p divided by 1.0 - p.
See Also