EHtrans-class.RdEH transformation of a parameter is defined by the function $$EH(parameter,a,b)= 10^{(\frac{parameter}{a})} + \frac{b*parameter}{a}-1, parameter>=0$$ $$-10^{(\frac{-parameter}{a})} + \frac{b*parameter}{a}+1, parameter<0$$
.DataObject of class "function".
aObject of class "numeric" -- numeric constant greater than zero.
bObject of class "numeric" -- numeric constant greater than zero.
parametersObject of class "transformation" -- flow parameter to be
transformed.
transformationIdObject of class "character" -- unique ID to reference the transformation.
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 can be created by calls to the
constructor EHtrans(parameters,a,b,transformationId)
Class "singleParameterTransform", directly.
Class "transform", by class "singleParameterTransform", distance 2.
Class "transformation", by class "singleParameterTransform", distance 3.
Class "characterOrTransformation", by class "singleParameterTransform", distance 4.
Gating-ML Candidate Recommendation for Gating Description in Flow Cytometry V 1.5
hyperlog
Other mathematical transform classes:
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,
sinht-class,
splitscale-class,
squareroot-class,
unitytransform-class
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))