| nnzero-methods {Matrix} | R Documentation |
The Number of Non-Zero Values of a Matrix
Description
Returns the number of non-zero values of a numeric-like R object, and
in particular an object x inheriting from class
Matrix.
Usage
nnzero(x, na.counted = NA)
Arguments
x |
an R object, typically inheriting from class
|
na.counted |
a
For sparse matrices, you may often want to use |
Value
the number of non zero entries in x (typically
integer).
Note that for a symmetric sparse matrix S (i.e., inheriting from
class symmetricMatrix), nnzero(S) is
typically twice the length(S@x).
Methods
signature(x = "ANY")the default method for non-
Matrixclass objects, simply counts the number0s inx, countingNA's depending on thena.countedargument, see above.signature(x = "denseMatrix")conceptually the same as for traditional
matrixobjects, care has to be taken for"symmetricMatrix"objects.signature(x = "diagonalMatrix"), andsignature(x = "indMatrix")fast simple methods for these special
"sparseMatrix"classes.signature(x = "sparseMatrix")typically, the most interesting method, also carefully taking
"symmetricMatrix"objects into account.
See Also
The Matrix class also has a
length method; typically, length(M) is much
larger than nnzero(M) for a sparse matrix M, and the latter is
a better indication of the size of M.
Examples
m <- Matrix(0+1:28, nrow = 4)
m[-3,c(2,4:5,7)] <- m[ 3, 1:4] <- m[1:3, 6] <- 0
(mT <- as(m, "TsparseMatrix"))
nnzero(mT)
(S <- crossprod(mT))
nnzero(S)
str(S) # slots are smaller than nnzero()
stopifnot(nnzero(S) == sum(as.matrix(S) != 0))# failed earlier
data(KNex, package = "Matrix")
M <- KNex$mm
class(M)
dim(M)
length(M); stopifnot(length(M) == prod(dim(M)))
nnzero(M) # more relevant than length
## the above are also visible from
str(M)