slam (version 0.1-54)

simple_triplet_matrix: Simple Triplet Matrix

Description

Data structures and operators for sparse matrices based on simple triplet representation.

Usage

simple_triplet_matrix(i, j, v, nrow = max(i), ncol = max(j),
                      dimnames = NULL)
simple_triplet_zero_matrix(nrow, ncol = nrow, mode = "double")
simple_triplet_diag_matrix(v, nrow = length(v))
as.simple_triplet_matrix(x)
is.simple_triplet_matrix(x)

Arguments

i, j

Integer vectors of row and column indices, respectively.

v

Vector of values.

nrow, ncol

Integer values specifying the number of rows and columns, respectively. Defaults are the maximum row and column indices, respectively.

dimnames

A dimnames attribute for the matrix: NULL or a list of length 2 giving the row and column names respectively. An empty list is treated as NULL, and a list of length one as row names. The list can be named, and the list names will be used as names for the dimensions.

mode

Character string specifying the mode of the values.

x

An R object.

Details

simple_triplet_matrix is a generator for a class of “lightweight” sparse matrices, “simply” represented by triplets (i, j, v) of row indices i, column indices j, and values v, respectively. simple_triplet_zero_matrix and simple_triplet_diag_matrix are convenience functions for the creation of empty and diagonal matrices.

Currently implemented operations include the addition, subtraction, multiplication and division of compatible simple triplet matrices, as well as the multiplication and division of a simple triplet matrix and a vector. Comparisons of the elements of a simple triplet matrices with a number are also provided. In addition, methods for indexing, combining by rows (rbind) and columns (cbind), transposing (t), concatenating (c), and detecting/extracting duplicated and unique rows are implemented.

See Also

simple_sparse_array for sparse arrays.

Examples

x <- matrix(c(1, 0, 0, 2), nrow = 2)
s <- as.simple_triplet_matrix(x)
identical(x, as.matrix(s))

simple_triplet_matrix(c(1, 4), c(1, 2), c(1, 2))
simple_triplet_zero_matrix(3)
simple_triplet_diag_matrix(1:3)

cbind(rbind(s, t(s)), rbind(s, s))
if (FALSE) {
## map to default Matrix class
stopifnot(require("Matrix"))
sparseMatrix(i = s$i, j = s$j, x = s$v, dims = dim(s), 
	     dimnames = dimnames(s))
}