\name{compensatedParameter-class} \docType{class} \alias{compensatedParameter-class} \alias{compensatedParameter} \alias{eval,compensatedParameter,missing,missing-method} \title{Class "compensatedParameter" } \description{ Emission spectral overlap can be corrected by subtracting the the amount of spectral overlap from the total detected signals. This compensation process can be described by using spillover matrices. compensatedParameter objects allow for compensation of specific parameters the user is interested in by creating compensatedParameter objects and evaluating them.This allows for use of compensatedParameter in gate definitions. } \section{Objects from the Class}{ Objects can be created by calls of the form \code{compensatedParameter(parameters,spillRefId,transformationId,searchEnv)}. } \section{Slots}{ \describe{ \item{\code{.Data}:}{Object of class \code{"function"} ~~ } \item{\code{parameters}:}{Object of class \code{"character"} -flow parameters to be compensated } \item{\code{spillRefId}:}{Object of class \code{"character"} -name of the compensation object (The compensation object contains the spillover Matrix) } \item{\code{searchEnv}:}{Object of class \code{"environment"} -environment in which the compensation object is defined } \item{\code{transformationId}:}{Object of class \code{"character"} -unique Id to reference the compensatedParameter object } } } \section{Extends}{ Class \code{"\linkS4class{transform}"}, directly. Class \code{"\linkS4class{transformation}"}, by class "transform", distance 2. Class \code{"\linkS4class{characterOrTransformation}"}, by class "transform", distance 3. } \section{Methods}{ No methods defined with class "compensatedParameter" in the signature. } \references{ ~~ } \author{Gopalakrishnan N,F.Hahne} \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)} \seealso{ compensation } \examples{ samp <- read.flowSet(path=system.file("extdata", "compdata", "data", package="flowCore")) cfile <- system.file("extdata","compdata","compmatrix", package="flowCore") comp.mat <- read.table(cfile, header=TRUE, skip=2, check.names = FALSE) comp.mat ## create a compensation object comp <- compensation(comp.mat,compensationId="comp1") ## create a compensated parameter object cPar1<-compensatedParameter(c("FL1-H","FL3-H"),"comp",searchEnv=.GlobalEnv) compOut<-eval(cPar1)(exprs(samp[[1]])) } \keyword{classes}