Exponential transform class defines a transformation given by the
function
f(parameter,a,b)=e^{parameter/b}*frac{1}{a}
Objects from the Class
Objects can be created by calls to the constructorexponential(parameters,a,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
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.
Methods
No methods defined with class "exponential" in the signature.
Note
The exponential 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
Author(s)
Gopalakrishnan N, F.Hahne
References
Gating-ML Candidate Recommendation for Gating Description in Flow Cytometry V 1.5
See Also
logarithm
Examples
dat <- read.FCS(system.file("extdata","0877408774.B08",
package="flowCore"))
exp1<-exponential(parameters="FSC-H",a=1,b=37,transformationId="exp1")
transOut<-eval(exp1)(exprs(dat))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(flowCore)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/flowCore/exponential-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: exponential-class
> ### Title: Class "exponential"
> ### Aliases: exponential-class exponential eval,exponential,missing-method
> ### Keywords: classes
>
> ### ** Examples
>
> dat <- read.FCS(system.file("extdata","0877408774.B08",
+ package="flowCore"))
> exp1<-exponential(parameters="FSC-H",a=1,b=37,transformationId="exp1")
> transOut<-eval(exp1)(exprs(dat))
>
>
>
>
>
> dev.off()
null device
1
>