%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Do not modify this file since it was automatically generated from: % % jointUniquePairs.plots.R % % by the Rdoc compiler part of the R.oo package. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \name{mixture.plot.JointUniquePairs} \alias{mixture.plot.JointUniquePairs} \alias{JointUniquePairs.mixture.plot} \alias{mixture.plot.JointUniquePairs} \alias{mixture.plot,JointUniquePairs-method} \title{Plot the correlation densities of the empirical fit, mixture fit and each of the mixture components for a mixture object derived from JointUniquePairsand Corr objects} \description{ Plot the correlation densities of the empirical fit, mixture fit and each of the mixture components for a mixture object derived from UniquePairsMatch and Corr objects with optional subsetting by a group of ID Maps. This is achived by first creating a mixture model from the JointUniquePairs and Corr objects with optional subsetting by a group of ID Maps encapsulated within the and then calling the MixtureObject.plot() on a resulting Mixture object. } \usage{\method{mixture.plot}{JointUniquePairs}(this, corr, idMapNames=NULL, subsetting=FALSE, G=c(1:5), verbose=FALSE, ...)} \arguments{ \item{corr}{Corr object.} \item{idMapNames}{If not \code{\link[base]{NULL}}, defines the subset of ID Maps from JointUniquePairs on which the full event group is to be formed. Default is \code{\link[base]{NULL}}.} \item{subsetting}{If \code{\link[base:logical]{TRUE}}, uses Corr subset to compute the mixture model or uses the original Corr otherwise. Default is \code{\link[base:logical]{FALSE}}.} \item{G}{The number of mixture model components. If a \code{\link[base]{numeric}} vector, the optimal mixture model is computed. Default is c(1:5).} \item{verbose}{If \code{\link[base:logical]{TRUE}} enables diagnostic messages. Default is \code{\link[base:logical]{FALSE}}.} \item{...}{Additional graphical parameters} } \value{ The Mixture object plotted } \examples{ #plot the results of mixture fit for a given DB subset and a Corr object (corr.spearman) mixtureSet<-examples$jointUniquePairs$mixture.plot(examples$corr, idMapNames=c("NetAffx_Q","DAVID_Q","EnVision_Q"), subsetting=TRUE,G=c(1:5),verbose=TRUE); } \seealso{For more information see \code{\link{JointUniquePairs}}.} \author{Alex Lisovich, Roger Day} \keyword{internal} \keyword{methods}