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\name{lsyMatrix-class}\title{Symmetric Dense Logical Matrices}\docType{class}\alias{lspMatrix-class}\alias{lsyMatrix-class}%\alias{coerce,lspMatrix,dspMatrix-method}\alias{coerce,lspMatrix,lsyMatrix-method}\alias{coerce,lspMatrix,lgeMatrix-method}\alias{coerce,lsyMatrix,dsyMatrix-method}\alias{coerce,lsyMatrix,lgeMatrix-method}\alias{coerce,lsyMatrix,lspMatrix-method}\alias{coerce,matrix,lsyMatrix-method}\alias{coerce,matrix,lspMatrix-method}\alias{t,lspMatrix-method}\alias{t,lsyMatrix-method}%\description{The \code{"lsyMatrix"} class is the class of symmetric, dense logicalmatrices in non-packed storage and \code{"lspMatrix"} is the class ofof these in packed storage. Only the upper triangle or thelower triangle is stored.}\section{Objects from the Class}{Objects can be created by calls of the form \code{new("lsyMatrix", ...)}.}\section{Slots}{\describe{\item{\code{uplo}:}{Object of class \code{"character"}. Must beeither "U", for upper triangular, and "L", for lower triangular.}\item{\code{x}:}{Object of class \code{"logical"}. The logicalvalues that constitute the matrix, stored in column-major order.}\item{\code{Dim},\code{Dimnames}:}{The dimension (a length-2\code{"integer"}) and corresponding names (or \code{NULL}), see the\code{\linkS4class{Matrix}} class.}\item{\code{factors}:}{Object of class \code{"list"}. A namedlist of factorizations that have been computed for the matrix.}}}\section{Extends}{\code{"lsyMatrix"} extends class \code{"lgeMatrix"}, directly, whereas\cr\code{"lspMatrix"} extends class \code{"ldenseMatrix"}, directly.Both extend class \code{"symmetricMatrix"}, directly,and class \code{"Matrix"} and others, \emph{in}directly, use\code{\link{showClass}("lsyMatrix")}, e.g., for details.}\section{Methods}{Currently, mainly \code{\link{t}()} and coercion methods (for\code{\link{as}(.)}; use, e.g.,\code{\link{showMethods}(class="dsyMatrix")} for details.}%\references{}%\author{}\seealso{\code{\linkS4class{lgeMatrix}}, \code{\linkS4class{Matrix}},\code{\link[base]{t}}}\examples{(M2 <- Matrix(c(TRUE, NA,FALSE,FALSE), 2,2)) # logical dense (ltr)str(M2)# can(sM <- M2 | t(M2)) # "lge"as(sM, "lsyMatrix")str(sM <- as(sM, "lspMatrix")) # packed symmetric}\keyword{classes}