Description Objects from the Class Slots Extends Methods Note Author(s) References See Also Examples

Exponential transform class defines a transformation given by the function

*f(parameter,a,b)=e^{parameter/b}*\frac{1}{a}*

Objects can be created by calls to the constructor`exponential(parameters,a,b)`

.

`.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

Class `"singleParameterTransform"`

, directly.
Class `"transform"`

, by class "singleParameterTransform", distance 2.
Class `"transformation"`

, by class "singleParameterTransform", distance 3.
Class `"characterOrTransformation"`

, by class "singleParameterTransform", distance 4.

No methods defined with class "exponential" in the signature.

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

Gopalakrishnan N, F.Hahne

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

logarithm

1 2 3 4 | ```
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))
``` |

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