Description Usage Arguments Details Value Author(s) See Also Examples
Apply functions to (the cross-pairs of) the rows or columns of a sparse matrix.
1 2 3 4 5 | rowapply_simple_triplet_matrix(x, FUN, ...)
colapply_simple_triplet_matrix(x, FUN, ...)
crossapply_simple_triplet_matrix(x, y = NULL, FUN, ...)
tcrossapply_simple_triplet_matrix(x, y = NULL, FUN, ...)
|
x, y |
a matrix in |
FUN |
the name of the function to be applied. |
... |
optional arguments to |
colapply_simple_triplet_matrix
temporarily expands each column of
x
to dense vector
representation and applies the function
specified in FUN
.
crossapply_simple_triplet_matrix
temporarily expands each cross-pair
of columns of x
(and y
) to dense vector
representation
and applies the function specified in FUN
.
Note that if y = NULL
then only the entries in the lower triangle
and the diagonal are computed, assuming that FUN
is symmetric.
A vector
(matrix
) of length (dimensionality) of the margin(s)
used. The type depends on the result of FUN
.
Note that the result of colapply_simple_triplet_matrix
is never
simplified to matrix
.
Christian Buchta
apply
for dense-on-dense computations.
1 2 3 4 5 6 7 8 9 10 | ##
x <- matrix(c(1, 0, 0, 2, 1, 0), nrow = 3,
dimnames = list(1:3, LETTERS[1:2]))
x
s <- as.simple_triplet_matrix(x)
colapply_simple_triplet_matrix(s, FUN = var)
##
simplify2array(colapply_simple_triplet_matrix(s, identity))
##
crossapply_simple_triplet_matrix(s, FUN = var)
|
A B
1 1 2
2 0 1
3 0 0
A B
0.3333333 1.0000000
A B
[1,] 1 2
[2,] 0 1
[3,] 0 0
A B
A 0.3333333 0.5
B 0.5000000 1.0
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