logarithm-class {flowCore} | R Documentation |
Logartithmic transformation of an argument is a transformation defined by the function
f(parameter,a,b)= ln(a*prarameter)*b ~~~~a*parameter>0
0 ~~~~a*parameter<=0
Objects can be created by calls to the constructor
logarithm(parameters,a,b,transformationId)
.Data
:Object of class "function"
~~
a
:Object of class "numeric"
-non zero multiplicative constant
b
:Object of class "numeric"
-non zero multiplicative constant
parameters
:Object of class "transformation"
-flow parameters 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 "logarithm" in the signature.
The logarithm 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)
Gopalakrishnan N, F.Hahne
Gating-ML Candidate Recommendation for Gating Description in Flow Cytometry V 1.5
exponential,quadratic
dat <- read.FCS(system.file("extdata","0877408774.B08", package="flowCore")) lg1<-logarithm(parameters="FSC-H",a=2,b=1,transformationId="lg1") transOut<-eval(lg1)(exprs(dat))