Matrix (version 1.4-0)

CsparseMatrix-class: Class "CsparseMatrix" of Sparse Matrices in Column-compressed Form

Description

The "CsparseMatrix" class is the virtual class of all sparse matrices coded in sorted compressed column-oriented form. Since it is a virtual class, no objects may be created from it. See showClass("CsparseMatrix") for its subclasses.

Slots

i:

Object of class "integer" of length nnzero (number of non-zero elements). These are the 0-based row numbers for each non-zero element in the matrix, i.e., i must be in 0:(nrow(.)-1).

p:

integer vector for providing pointers, one for each column, to the initial (zero-based) index of elements in the column. .@p is of length ncol(.) + 1, with p[1] == 0 and p[length(p)] == nnzero, such that in fact, diff(.@p) are the number of non-zero elements for each column.

In other words, m@p[1:ncol(m)] contains the indices of those elements in m@x that are the first elements in the respective column of m.

Dim, Dimnames:

inherited from the superclass, see the '>sparseMatrix class.

Extends

Class "sparseMatrix", directly. Class "Matrix", by class "sparseMatrix".

Methods

matrix products %*%, crossprod() and tcrossprod(), several solve methods, and other matrix methods available: %% The following is generated by promptClass(..) -- %% FIXME: write a script that update all the *-class.Rd files

Arith

signature(e1 = "CsparseMatrix", e2 = "numeric"): ...

Arith

signature(e1 = "numeric", e2 = "CsparseMatrix"): ...

Math

signature(x = "CsparseMatrix"): ...

band

signature(x = "CsparseMatrix"): ...

-

signature(e1 = "CsparseMatrix", e2 = "numeric"): ...

-

signature(e1 = "numeric", e2 = "CsparseMatrix"): ...

+

signature(e1 = "CsparseMatrix", e2 = "numeric"): ...

+

signature(e1 = "numeric", e2 = "CsparseMatrix"): ...

coerce

signature(from = "CsparseMatrix", to = "TsparseMatrix"): ...

coerce

signature(from = "CsparseMatrix", to = "denseMatrix"): ...

coerce

signature(from = "CsparseMatrix", to = "matrix"): ...

coerce

signature(from = "CsparseMatrix", to = "lsparseMatrix"): ...

coerce

signature(from = "CsparseMatrix", to = "nsparseMatrix"): ...

coerce

signature(from = "TsparseMatrix", to = "CsparseMatrix"): ...

coerce

signature(from = "denseMatrix", to = "CsparseMatrix"): ...

diag

signature(x = "CsparseMatrix"): ...

gamma

signature(x = "CsparseMatrix"): ...

lgamma

signature(x = "CsparseMatrix"): ...

log

signature(x = "CsparseMatrix"): ...

t

signature(x = "CsparseMatrix"): ...

tril

signature(x = "CsparseMatrix"): ...

triu

signature(x = "CsparseMatrix"): ...

See Also

colSums, kronecker, and other such methods with own help pages.

Further, the super class of CsparseMatrix, '>sparseMatrix, and, e.g., class '>dgCMatrix for the links to other classes.

Examples

# NOT RUN {
getClass("CsparseMatrix")

## The common validity check function (based on C code):
getValidity(getClass("CsparseMatrix"))
# }