ParameterEstimation (BioFSharp.Mz) | BioFSharp.Mz

BioFSharp.Mz

ParameterEstimation Module

Namespace: BioFSharp.Mz
Assembly: BioFSharp.Mz.dll
Parent Module: Quantification

Types

Type	Description
CaruanaEstimates
EstimatedMoments

Functions and values

Function or value	Description
`caruanaAlgorithm mzData intensityData` Full Usage: `caruanaAlgorithm mzData intensityData` Parameters: mzData : `float[]` intensityData : `float[]` Returns: `CaruanaEstimates option`	Estimates the Parameters of a Gaussian function Warning: This method is sensitive to noisy data. If the noise level of the input parameters is high, smoothing of the data is strongly recommended. mzData : `float[]` intensityData : `float[]` Returns: `CaruanaEstimates option`
`createCaruanaEstimates amplitude meanX std fwhm` Full Usage: `createCaruanaEstimates amplitude meanX std fwhm` Parameters: amplitude : `float` meanX : `float` std : `float` fwhm : `float` Returns: `CaruanaEstimates`	amplitude : `float` meanX : `float` std : `float` fwhm : `float` Returns: `CaruanaEstimates`
`createEstimatedMoments modeY meanX var std skew tau` Full Usage: `createEstimatedMoments modeY meanX var std skew tau` Parameters: modeY : `float` meanX : `float` var : `float` std : `float` skew : `float` tau : `float` Returns: `EstimatedMoments`	modeY : `float` meanX : `float` var : `float` std : `float` skew : `float` tau : `float` Returns: `EstimatedMoments`
`estTau stdev skew` Full Usage: `estTau stdev skew` Parameters: stdev : `float` skew : `float` Returns: `float`	stdev : `float` skew : `float` Returns: `float`
`estimateMoments p` Full Usage: `estimateMoments p` Parameters: p : `IdentifiedPeak` Returns: `EstimatedMoments option`	p : `IdentifiedPeak` Returns: `EstimatedMoments option`
`estimatePeakIntegrity p` Full Usage: `estimatePeakIntegrity p` Parameters: p : `IdentifiedPeak` Returns: `bool`	p : `IdentifiedPeak` Returns: `bool`
`gaussFunc amplitude meanX std x` Full Usage: `gaussFunc amplitude meanX std x` Parameters: amplitude : `float` meanX : `float` std : `float` x : `float` Returns: `float`	Returns the yValue of a gauss function at a given position x. amplitude : `float` meanX : `float` std : `float` x : `float` Returns: `float`
`meanOfGaussian xData yData` Full Usage: `meanOfGaussian xData yData` Parameters: xData : `float array` yData : `float array` Returns: `float`	xData : `float array` yData : `float array` Returns: `float`
`methodOfMoments p` Full Usage: `methodOfMoments p` Parameters: p : `IdentifiedPeak` Returns: `EstimatedMoments option`	p : `IdentifiedPeak` Returns: `EstimatedMoments option`
`skewBy mean var xData yData` Full Usage: `skewBy mean var xData yData` Parameters: mean : `float` var : `float` xData : `float array` yData : `float array` Returns: `float`	mean : `float` var : `float` xData : `float array` yData : `float array` Returns: `float`
`skewOf xData yData` Full Usage: `skewOf xData yData` Parameters: xData : `float array` yData : `float array` Returns: `float`	xData : `float array` yData : `float array` Returns: `float`
`toFWHM std` Full Usage: `toFWHM std` Parameters: std : `float` Returns: `float`	Returns the full width at half maximum std : `float` Returns: `float`
`toSTD fwhm` Full Usage: `toSTD fwhm` Parameters: fwhm : `float` Returns: `float`	Returns the value of the standard deviation fwhm : `float` Returns: `float`
`varianceBy mean xData yData` Full Usage: `varianceBy mean xData yData` Parameters: mean : `float` xData : `float array` yData : `float array` Returns: `float`	mean : `float` xData : `float array` yData : `float array` Returns: `float`
`varianceOf xData yData` Full Usage: `varianceOf xData yData` Parameters: xData : `float array` yData : `float array` Returns: `float`	xData : `float array` yData : `float array` Returns: `float`