Convert a sparse matrix to a dense matrix in a block-wise fashion

Convert a sparse matrix to a dense matrix in a block-wise fashion

Usage

sparseToDenseMatrix(
  mat,
  blockwise = TRUE,
  chunk.by = "row",
  chunk.size = 100000,
  parallel = FALSE,
  cores = 2
)

Arguments

mat

Input sparse matrix

blockwise

Whether to do the coercion in a block-wise manner

chunk.by

Whether to chunk by "row" or "column"

chunk.size

The size of the chunks to use for coercion

parallel

Whether to perform the coercion in parallel

cores

The number of cores to use in the parallel coercion

Value

A dense matrix of the same dimensions as the input

Examples

# make a sparse binary matrix
library(Matrix)
m <- 100
n <- 1000
mat <- round(matrix(runif(m * n), m, n))
mat.sparse <- Matrix(mat, sparse = TRUE)

# coerce back
mat.dense <- sparseToDenseMatrix(mat.sparse, chunk.size = 10)
#> Breaking into row chunks.

# make sure they are the same dimensions
dim(mat) == dim(mat.dense)
#> [1] TRUE TRUE

# make sure they are the same numerically
all(mat == mat.dense)
#> [1] TRUE