Learn R Programming

Matrix (version 1.2-6)

dgCMatrix-class: Compressed, sparse, column-oriented numeric matrices

Description

The dgCMatrix class is a class of sparse numeric matrices in the compressed, sparse, column-oriented format. In this implementation the non-zero elements in the columns are sorted into increasing row order. dgCMatrix is the “standard” class for sparse numeric matrices in the Matrix package.

Arguments

Objects from the Class

Objects can be created by calls of the form new("dgCMatrix", ...), more typically via as(*, "CsparseMatrix") or similar. Often however, more easily via Matrix(*, sparse = TRUE), or most efficiently via sparseMatrix().

Slots

x:
Object of class "numeric" - the non-zero elements of the matrix.
...
all other slots are inherited from the superclass "CsparseMatrix".

Methods

Matrix products (e.g., crossprod-methods), and (among other)
coerce
signature(from = "matrix", to = "dgCMatrix")
coerce
signature(from = "dgCMatrix", to = "matrix")
coerce
signature(from = "dgCMatrix", to = "dgTMatrix")
diag
signature(x = "dgCMatrix"): returns the diagonal of x
dim
signature(x = "dgCMatrix"): returns the dimensions of x
image
signature(x = "dgCMatrix"): plots an image of x using the levelplot function
solve
signature(a = "dgCMatrix", b = "..."): see solve-methods, notably the extra argument sparse.
lu
signature(x = "dgCMatrix"): computes the LU decomposition of a square dgCMatrix object

See Also

Classes dsCMatrix, dtCMatrix, lu

Examples

Run this code
(m <- Matrix(c(0,0,2:0), 3,5))
str(m)
m[,1]

Run the code above in your browser using DataLab