\name{showSelected-methods} \docType{methods} \alias{showSelected} \alias{showSelected-methods} \alias{showSelected,Factorization-method} \title{Plot Selected Statistics of a Matrix Factorization} \description{ This function plots selected statistics on a matrix factorization which is stored as an instance of \code{\link[fabia]{Factorization-class}}.} \section{Methods}{ \describe{ \item{\code{ signature(object="Factorization")}}{Display Statistics of a Matrix Factorization } }} \usage{\S4method{showSelected}{Factorization}(object, which=c(1,2,3,4))} \arguments{ \item{object}{An instance of \code{\link[fabia]{Factorization-class}}.} \item{which}{used to provide a list of which plots should be generated: 1=the information content of biclusters, 2=the information content of samples, 3=the loadings per bicluster, 4=the factors per bicluster, default c(1,2,3,4).} } \details{ The following is plotted depending on the display selection variable \code{which}: \enumerate{ \item{the information content of biclusters.} \item{the information content of samples.} \item{the loadings per bicluster.} \item{the factors per bicluster.} } } \value{ \item{}{no value.} } \seealso{ \code{\link{fabia}}, \code{\link{fabias}}, \code{\link{fabiap}}, \code{\link{fabi}}, \code{\link{fabiasp}}, \code{\link{mfsc}}, \code{\link{nmfdiv}}, \code{\link{nmfeu}}, \code{\link{nmfsc}}, \code{\link{plot}}, \code{\link{extractPlot}}, \code{\link{extractBic}}, \code{\link{plotBicluster}}, \code{\link{Factorization}}, \code{\link{projFuncPos}}, \code{\link{projFunc}}, \code{\link{estimateMode}}, \code{\link{makeFabiaData}}, \code{\link{makeFabiaDataBlocks}}, \code{\link{makeFabiaDataPos}}, \code{\link{makeFabiaDataBlocksPos}}, \code{\link{matrixImagePlot}}, \code{\link{summary}}, \code{\link{show}}, \code{\link{showSelected}}, \code{\link{fabiaDemo}}, \code{\link{fabiaVersion}} } \author{Sepp Hochreiter} \examples{ #--------------- # TEST #--------------- dat <- makeFabiaDataBlocks(n = 100,l= 50,p = 3,f1 = 5,f2 = 5, of1 = 5,of2 = 10,sd_noise = 3.0,sd_z_noise = 0.2,mean_z = 2.0, sd_z = 1.0,sd_l_noise = 0.2,mean_l = 3.0,sd_l = 1.0) X <- dat[[1]] resEx <- fabia(X,3,0.01,100) showSelected(resEx,which=1) showSelected(resEx,which=2) } \keyword{manip} \keyword{methods}