rcpp_hdf5_close_file_handles

Closes all C++ objects tracked in the live-pointer registry that
belong to <code>filename</code>, then closes any remaining HDF5 handles
for that file at the HDF5 C library level.

internal

A framework for 'scalable' statistical computing on large on-disk
matrices stored in 'HDF5' files. It provides efficient block-wise
implementations of core linear-algebra operations (matrix multiplication,
SVD, PCA, and QR decomposition) written in C++ and R, along with building
blocks from which higher-level multivariate methods such as canonical
correlation analysis can be constructed. These building blocks are designed
not only for direct use, but also as foundational components for developing
new statistical methods that must operate on datasets too large to fit in
memory. The package supports data provided either as 'HDF5' files or
standard R objects, and is intended for high-dimensional applications such
as 'omics' and precision-medicine research.

Dolors Pelegri-Siso

BigDataStatMeth

Scalable Statistical Computing with HDF5-Backed Matrices

Juan R. Gonzalez

rcpp_hdf5_close_file_handles function

<dl><dt>filename</dt>
<dd>Absolute path to the HDF5 file (use
<code><a href="/link/normalizePath()?package=BigDataStatMeth&version=2.0.3" data-mini-rdoc="BigDataStatMeth::normalizePath()">normalizePath()</a></code> in R before calling).</dd></dl>

Arguments

Close all HDF5 handles for a specific file (R6 wrapper) — rcpp_hdf5_close_file_handles

<dl>

<dt>filename</dt>
<dd>Absolute path to the HDF5 file (use
<code><a href='https://rdrr.io/r/base/normalizePath.html'>normalizePath()</a></code> in R before calling).</dd>

</dl>

rcpp_hdf5_close_file_handles: Close all HDF5 handles for a specific file (R6 wrapper)

Description

Usage

Arguments