%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Do not modify this file since it was automatically generated from: % % jointUniquePairs.R % % by the Rdoc compiler part of the R.oo package. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \name{subsetData.JointUniquePairs} \alias{subsetData.JointUniquePairs} \alias{JointUniquePairs.subsetData} \alias{subsetData.JointUniquePairs} \alias{subsetData,JointUniquePairs-method} \title{Subset data on a UniquePairsMatch object} \description{Subset data on a UniquePairsMatch object.} \usage{\method{subsetData}{JointUniquePairs}(this, data, expr, ...)} \arguments{ \item{data}{\code{\link[base]{numeric}} vector to subset. Should be of the same length as ncol(this).} \item{expr}{\code{\link[base]{expression}} or a \code{\link[base]{character}} string representing an expression according to which the indicator variable columns of match object will be combined to form the logical vector of data vector elements inclusion.} \item{...}{Not used} } \value{subset of the original data vector.} \examples{ #perform Wilcoxon test for EnVision/Affy corellation data data1<-examples$jointUniquePairs$subsetData(examples$corr$getData(), "EnVision_Q & !NetAffx_Q"); data2<-examples$jointUniquePairs$subsetData(examples$corr$getData(), "!EnVision_Q & NetAffx_Q"); wilcox<-wilcox.test(data1,data2); wilcox[names(wilcox)]; } \seealso{For more information see \code{\link{JointUniquePairs}}.} \author{Alex Lisovich, Roger Day} \keyword{internal} \keyword{methods}