1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63
|
\name{nsyMatrix-class}
\title{Symmetric Dense Nonzero-Pattern Matrices}
%
\docType{class}
\keyword{array}
\keyword{classes}
%
\alias{nsyMatrix-class}
\alias{nspMatrix-class}
%
\description{
The \code{"nsyMatrix"} class is the class of symmetric, dense nonzero-pattern
matrices in non-packed storage and \code{"nspMatrix"} is the class of
of these in packed storage. Only the upper triangle or the
lower triangle is stored.
}
\section{Objects from the Class}{
Objects can be created by calls of the form \code{new("nsyMatrix", ...)}.
}
\section{Slots}{
\describe{
\item{\code{uplo}:}{Object of class \code{"character"}. Must be
either "U", for upper triangular, and "L", for lower triangular.}
\item{\code{x}:}{Object of class \code{"logical"}. The logical
values 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 named
list of factorizations that have been computed for the matrix.}
}
}
\section{Extends}{
\code{"nsyMatrix"} extends class \code{"ngeMatrix"}, directly, whereas\cr
\code{"nspMatrix"} extends class \code{"ndenseMatrix"}, directly.
Both extend class \code{"symmetricMatrix"}, directly,
and class \code{"Matrix"} and others, \emph{in}directly, use
\code{\link{showClass}("nsyMatrix")}, 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="nsyMatrix")} for details.
}
%\references{}
%\author{}
\seealso{
\code{\linkS4class{ngeMatrix}}, \code{\linkS4class{Matrix}},
\code{\link[base]{t}}
}
\examples{
\dontshow{ % for R_DEFAULT_PACKAGES=NULL
library(utils, pos = "package:base", verbose = FALSE)
}
(s0 <- new("nsyMatrix"))
(M2 <- Matrix(c(TRUE, NA, FALSE, FALSE), 2, 2)) # logical dense (ltr)
(sM <- M2 & t(M2)) # -> "lge"
class(sM <- as(sM, "nMatrix")) # -> "nge"
(sM <- as(sM, "symmetricMatrix")) # -> "nsy"
str(sM <- as(sM, "packedMatrix")) # -> "nsp", i.e., packed symmetric
}
|