Apply Functions Over Sparse Matrix Margins
Apply functions to (the cross-pairs of) the rows or columns of a sparse matrix.
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.
##
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.