| TsparseMatrix-class {Matrix} | R Documentation |
Class "TsparseMatrix" of Sparse Matrices in Triplet Form
Description
The "TsparseMatrix" class is the virtual class of
all sparse matrices coded in triplet form. Since it is a virtual class,
no objects may be created from it. See
showClass("TsparseMatrix") for its subclasses.
Slots
Dim,Dimnames:from the
"Matrix"class,i:Object of class
"integer"- the row indices of non-zero entries in 0-base, i.e., must be in0:(nrow(.)-1).j:Object of class
"integer"- the column indices of non-zero entries. Must be the same length as slotiand 0-based as well, i.e., in0:(ncol(.)-1). For numeric Tsparse matrices,(i,j)pairs can occur more than once, seedgTMatrix.
Extends
Class "sparseMatrix", directly.
Class "Matrix", by class "sparseMatrix".
Methods
Extraction ("[") methods, see
[-methods.
Note
Most operations with sparse matrices are performed using the
compressed, column-oriented or CsparseMatrix
representation. The triplet representation is convenient for
creating a sparse matrix or for reading and writing such
matrices. Once it is created, however, the matrix is generally
coerced to a CsparseMatrix for further
operations.
Note that all new(.), spMatrix and
sparseMatrix(*, repr="T") constructors
for "TsparseMatrix" classes implicitly add (i.e., “sum up”)
x_k's that belong to identical (i_k, j_k) pairs, see, the
example below, or also "dgTMatrix".
For convenience, methods for some operations such as %*%
and crossprod are defined for
TsparseMatrix objects. These methods simply
coerce the TsparseMatrix object to a
CsparseMatrix object then perform the
operation.
See Also
its superclass, sparseMatrix, and the
dgTMatrix class, for the links to other classes.
Examples
showClass("TsparseMatrix")
## or just the subclasses' names
names(getClass("TsparseMatrix")@subclasses)
T3 <- spMatrix(3,4, i=c(1,3:1), j=c(2,4:2), x=1:4)
T3 # only 3 non-zero entries, 5 = 1+4 !