sinht-class: Class "sinht"

In RGLab/flowCore: flowCore: Basic structures for flow cytometry data

Class "sinht"

Description

Hyperbolic sin transform class, which represents a transformation defined by the function:

f(parameter,a,b)=sinh(parameter/b)/a

This definition is such that it can function as an inverse of asinht using the same definitions of the constants a and b.

Slots

.Data

Object of class "function".

a

Object of class "numeric" – non-zero constant.

b

Object of class "numeric" – non-zero constant.

parameters

Object of class "transformation" – flow parameter to be transformed

transformationId

Object of class "character" – unique ID to reference the transformation.

Objects from the Class

Objects can be created by calls to the constructor sinht(parameter,a,b,transformationId).

Extends

Class "singleParameterTransform", directly.

Class "transform", by class "singleParameterTransform", distance 2.

Class "transformation", by class "singleParameterTransform", distance 3.

Class "characterOrTransformation", by class "singleParameterTransform", distance 4.

Note

The transformation object can be evaluated using the eval method by passing the data frame as an argument.The transformed parameters are returned as a matrix with a single column.(See example below)

Author(s)

Gopalakrishnan N, F.Hahne

References

Gating-ML Candidate Recommendation for Gating Description in Flow Cytometry V 1.5

See Also

asinht

Other mathematical transform classes: EHtrans-class, asinht-class, asinhtGml2-class, dg1polynomial-class, exponential-class, hyperlog-class, hyperlogtGml2-class, invsplitscale-class, lintGml2-class, logarithm-class, logicletGml2-class, logtGml2-class, quadratic-class, ratio-class, ratiotGml2-class, splitscale-class, squareroot-class, unitytransform-class

Examples

 dat <- read.FCS(system.file("extdata","0877408774.B08",  package="flowCore"))
 sinh1<-sinht(parameters="FSC-H",a=1,b=2000,transformationId="sinH1")
 transOut<-eval(sinh1)(exprs(dat))

RGLab/flowCore documentation built on Aug. 26, 2024, 8:52 a.m.