ScalingFactory {xegaSelectGene} | R Documentation |
Scaling Factory
Description
Scaling Factory
Usage
ScalingFactory(method = "NoScaling")
Arguments
method |
A scaling method. Available methods are:
"NoScaling": Identity (Default).
"ConstantScaling": fit^k with constant exponent.
Function ConstantScaling() .
"ThresholdScaling":
-
If the dispersion ratio is larger than 1+threshold ,
use a constant scaling exponent with a value below 1
(decrease of selection pressure).
Function ThresholdScaling() .
If the dispersion ratio is lower than 1-threshold ,
use a constant scaling exponent with a value above 1
(increase of selection pressure).
Else use a scaling exponent of 1. This means no scaling.
"ContinuousScaling": Use weighted dispersion ratio
as scaling exponent.
Function ContinuousScaling() .
|
Value
A scaling function.
See Also
Other Configuration:
DispersionMeasureFactory()
,
EvalGeneFactory()
,
SelectGeneFactory()
Examples
fit<-sample(10, 20, replace=TRUE)
lF<-list()
lF$ScalingExp<-parm(2)
Scale<-ScalingFactory()
fit
Scale(fit, lF)
Scale<-ScalingFactory("ConstantScaling")
Scale(fit, lF)
[Package
xegaSelectGene version 1.0.0.3
Index]