Description Usage Arguments Value Author(s) See Also Examples
Create the definition of the log Transformation that will be applied on some
parameter via the transform
method. The definition of this function
is currently x<-log(x,logbase)*(r/d). The transformation would normally be
used to convert to a linear valued parameter to the natural logarithm scale.
Typically r and d are both equal to 1.0. Both must be positive. logbase =
10 corresponds to base 10 logarithm.
1 | logTransform(transformationId="defaultLogTransform", logbase=10, r=1, d=1)
|
transformationId |
character string to identify the transformation |
logbase |
positive double that corresponds to the base of the logarithm. |
r |
positive double that corresponds to a scale factor. |
d |
positive double that corresponds to a scale factor |
Returns an object of class transform
.
B. Ellis, N. LeMeur
Other Transform functions:
arcsinhTransform()
,
biexponentialTransform()
,
inverseLogicleTransform()
,
linearTransform()
,
lnTransform()
,
logicleTransform()
,
quadraticTransform()
,
scaleTransform()
,
splitScaleTransform()
,
truncateTransform()
1 2 3 4 5 | samp <- read.FCS(system.file("extdata",
"0877408774.B08", package="flowCore"))
logTrans <- logTransform(transformationId="log10-transformation", logbase=10, r=1, d=1)
trans <- transformList('FSC-H', logTrans)
dataTransform <- transform(samp, trans)
|
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