compensatedParameter-class.RdEmission spectral overlap can be corrected by subtracting the amount of spectral overlap from the total detected signals. This compensation process can be described by using spillover matrices.
The compensatedParameter class allows 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.
.DataObject of class "function".
parametersObject of class "character" -- the flow
parameters to be compensated.
spillRefIdObject of class "character" -- the name of the
compensation object (The compensation object contains the spillover Matrix).
searchEnvObject of class "environment" -environment in
which the compensation object is defined.
transformationIdObject of class "character" -- a unique Id to
reference the compensatedParameter object.
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)
Objects can be created by calls to the constructor of the form
compensatedParameter(parameters,spillRefId,transformationId,searchEnv).
Class "transform", directly.
Class "transformation", by class "transform", distance 2.
Class "characterOrTransformation", by class "transform", distance 3.
compensation
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#> FL1-H FL2-H FL3-H FL4-H #> 1 1.000000 0.240000 0.03200 0.00113 #> 2 0.007770 1.000000 0.14000 0.00274 #> 3 0.008690 0.170000 1.00000 0.21000 #> 4 0.000795 0.000995 0.00323 1.00000## 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]]))#> Error in eval(cPar1)(exprs(samp[[1]])): trying to get slot "spillover" from an object of a basic class ("NULL") with no slots