mat2triplet  R Documentation 
From an R object coercible to "TsparseMatrix"
,
typically a (sparse) matrix, produce its triplet representation which may
collapse to a “Duplet” in the case of binary aka pattern, such as
"nMatrix"
objects.
mat2triplet(x, uniqT = FALSE)
x 
any R object for which 
uniqT 

A list
, typically with three components,
i 
vector of row indices for all nonzero entries of 
i 
vector of columns indices for all nonzero entries of 
x 
vector of all nonzero entries of 
Note that the order
of the entries is determined by the
coercion to "TsparseMatrix"
and hence typically
with increasing j
(and increasing i
within ties of j
).
The mat2triplet()
utility was created to be a more efficient and
more predictable substitute for summary(<sparseMatrix>)
.
UseRs have wrongly expected the latter to return a data frame with
columns i
and j
which however is wrong for a
"diagonalMatrix"
.
The summary()
method for "sparseMatrix"
,
summary,sparseMatrixmethod
.
mat2triplet()
is conceptually the inverse function of
spMatrix
and (one case of) sparseMatrix
.
if(FALSE) ## The function is defined (don't redefine here!), simply as mat2triplet < function(x, uniqT = FALSE) { T < as(x, "TsparseMatrix") if(uniqT && anyDuplicatedT(T)) T < .uniqTsparse(T) if(is(T, "nsparseMatrix")) list(i = T@i + 1L, j = T@j + 1L) else list(i = T@i + 1L, j = T@j + 1L, x = T@x) } i < c(1,3:8); j < c(2,9,6:10); x < 7 * (1:7) (Ax < sparseMatrix(i, j, x = x)) ## 8 x 10 "dgCMatrix" str(trA < mat2triplet(Ax)) stopifnot(i == sort(trA$i), sort(j) == trA$j, x == sort(trA$x)) D < Diagonal(x=4:2) summary(D) str(mat2triplet(D))
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