invsplitscale-class.RdAs its name suggests, the inverse split scale transformation class represents the inverse transformation of a split scale transformation that has a logarithmic scale at high values and a linear scale at low values.
The inverse split scale transformation is defined by the function $$f(parameter,r,maxValue,transitionChannel) \frac{(parameter-b)}{a}, parameter<=t*a + b$$ $$f(parameter,r,maxValue,transitionChannel) = \frac{10^{parameter*\frac{d}{r}}}{c}, parameter > t*a+b $$ where $$b=\frac{transitionChannel}{2}$$ $$d=\frac{2*log_{10}(e)*r}{transitionChannel} + log_{10}(maxValue) $$ $$t=10^{log_{10}t}$$ $$a= \frac{transitionChannel}{2*t}$$ $$log_{10}ct=\frac{(a*t+b)*d}{r}$$ $$c=10^{log_{10}ct}$$
.DataObject of class "function".
rObject of class "numeric" -- a positive value indicating
the range of the logarithmic part of the dispmlay.
maxValueObject of class "numeric" -- a positive value
indicating the maximum value the transformation is applied to.
transitionChannelObject of class "numeric" -- non negative
value that indicates where to split the linear vs. logarithmic transformation.
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
invsplitscale(parameters,r,maxValue,transitionChannel,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
splitscale
Other mathematical transform classes:
EHtrans-class,
asinht-class,
asinhtGml2-class,
dg1polynomial-class,
exponential-class,
hyperlog-class,
hyperlogtGml2-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")) sp1<-invsplitscale("FSC-H",r=512,maxValue=2000,transitionChannel=512) transOut<-eval(sp1)(exprs(dat))