dg1polynomial-class: Class "dg1polynomial"

In RGLab/flowCore: flowCore: Basic structures for flow cytometry data

Class "dg1polynomial"

Description

dg1polynomial allows for scaling,linear combination and translation within a single transformation defined by the function

f(parameter_1,...,parameter_n,a_1,...,a_n,b) = b + \Sigma_{i=1}^n a_i*parameter_i

Slots

.Data

Object of class "function".

parameters

Object of class "parameters" –the flow parameters that are to be transformed.

a

Object of class "numeric" – coefficients of length equal to the number of flow parameters.

b

Object of class "numeric" – coefficient of length 1 that performs the translation.

transformationId

Object of class "character" unique ID to reference the transformation.

Objects from the Class

Objects can be created by using the constructor dg1polynomial(parameter,a,b,transformationId).

Extends

Class "transform", directly.

Class "transformation", by class "transform", distance 2.

Class "characterOrTransformation", by class "transform", distance 3.

Note

The 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)

Author(s)

Gopalakrishnan N, F.Hahne

References

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

See Also

ratio,quadratic,squareroot

Other mathematical transform classes: EHtrans-class, asinht-class, asinhtGml2-class, exponential-class, hyperlog-class, hyperlogtGml2-class, invsplitscale-class, lintGml2-class, logarithm-class, logicletGml2-class, logtGml2-class, quadratic-class, ratio-class, ratiotGml2-class, sinht-class, splitscale-class, squareroot-class, unitytransform-class

Examples

  dat <- read.FCS(system.file("extdata","0877408774.B08",
  package="flowCore"))
  dg1<-dg1polynomial(c("FSC-H","SSC-H"),a=c(1,2),b=1,transformationId="dg1")
  transOut<-eval(dg1)(exprs(dat))

RGLab/flowCore documentation built on March 19, 2024, 9:45 p.m.