rcpp_hdf5dataset_div_ew: Element-wise division of two HDF5 datasets (R6 wrapper)

In BigDataStatMeth: Title: Scalable Statistical Computing with HDF5-Backed Matrices

Element-wise division of two HDF5 datasets (R6 wrapper)

Description

Computes A / B element-wise for two HDF5 datasets referenced by external pointers, using a block-wise algorithm. Division by zero produces NaN or Inf, matching base R behaviour.

Usage

rcpp_hdf5dataset_div_ew(
  ptr_a,
  ptr_b,
  paral = NULL,
  block_size = NULL,
  threads = NULL,
  compression = NULL
)

Arguments

ptr_a	External pointer (SEXP) for matrix A
ptr_b	External pointer (SEXP) for matrix B
paral	Logical or NULL; enable OpenMP parallelisation
block_size	Integer or NULL; block size (NULL = auto)
threads	Integer or NULL; thread count

Value

Named list with filename and path of the result. The result is stored in group "OUTPUT" with dataset name "A_plus_B" (resp. "A_minus_B", "A_times_B", "A_div_B") where A and B are the input dataset names.

BigDataStatMeth documentation built on May 15, 2026, 1:07 a.m.