EH transformation of a parameter is defined by the function $$EH(parameter,a,b)= 10^{(\frac{parameter}{a})} + \frac{b*parameter}{a}-1, parameter>=0$$ $$-10^{(\frac{-parameter}{a})} + \frac{b*parameter}{a}+1, parameter<0$$

Slots

.Data

Object of class "function".

a

Object of class "numeric" -- numeric constant greater than zero.

b

Object of class "numeric" -- numeric constant greater than zero.

parameters

Object of class "transformation" -- flow parameter to be transformed.

transformationId

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

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)

Objects from the Class

Objects can be created by calls to the constructor EHtrans(parameters,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.

References

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

See also

Examples

dat <- read.FCS(system.file("extdata","0877408774.B08", package="flowCore")) eh1<-EHtrans("FSC-H",a=1250,b=4,transformationId="eh1") transOut<-eval(eh1)(exprs(dat))