The functions fromSparseMatrix and toSparseMatrix help in storing
(and retrieving) sparse matrices using a TileDB backend.
Usage
fromSparseMatrix(
obj,
uri,
cell_order = "ROW_MAJOR",
tile_order = "ROW_MAJOR",
filter = "ZSTD",
capacity = 10000L
)
toSparseMatrix(uri)Arguments
- obj
A sparse matrix object.
- uri
A character variable with an Array URI.
- cell_order
A character variable with one of the TileDB cell order values, default is “COL_MAJOR”.
- tile_order
A character variable with one of the TileDB tile order values, default is “COL_MAJOR”.
- filter
A character variable vector, defaults to ‘ZSTD’, for one or more filters to be applied to each attribute;
- capacity
A integer value with the schema capacity, default is 10000.
Examples
ctx <- tiledb_ctx(limitTileDBCores())
if (FALSE) {
if (requireNamespace("Matrix", quietly=TRUE)) {
library(Matrix)
set.seed(123) # just to fix it
mat <- matrix(0, nrow=20, ncol=10)
mat[sample(seq_len(200), 20)] <- seq(1, 20)
spmat <- as(mat, "dgTMatrix") # sparse matrix in dgTMatrix format
uri <- "sparse_matrix"
fromSparseMatrix(spmat, uri) # now written
chk <- toSparseMatrix(uri) # and re-read
print(chk)
all.equal(spmat, chk)
}
}