asinht-class.RdInverse hyperbolic sine transform class, which represents a transformation
defined by the function:
$$f(parameter,a,b)=sinh^{-1}(a*parameter)*b$$
This definition is such that it can function as an inverse of
sinht using the same definitions of the constants a
and b.
.DataObject of class "function".
aObject of class "numeric" -- non-zero constant.
bObject of class "numeric" -- non-zero constant.
parametersObject of class "transformation" -- flow parameter
to be transformed
transformationIdObject of class "character" -- unique ID to
reference the transformation.
The inverse hyperbolic sin 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 asinht(parameter,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
sinht
Other mathematical transform classes:
EHtrans-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")) asinh1<-asinht(parameters="FSC-H",a=2,b=1,transformationId="asinH1") transOut<-eval(asinh1)(exprs(dat))