rcpp_hdf5dataset_read_dimnames

Reads the row and column names stored alongside an HDF5 dataset following
the BigDataStatMeth convention:<ul>
<li>rownames stored at <code>group/.&lt;dataset&gt;_dimnames/1</code></li>
<li>colnames stored at <code>group/.&lt;dataset&gt;_dimnames/2</code></li>
</ul>When a component has not been written an empty <code>character(0)</code> is
returned for it. The function uses <code>BigDataStatMeth::hdf5Dims</code> in
read mode (<code>bWrite = false</code>) so no data on disk is modified.

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_hdf5dataset_read_dimnames function

<dl><dt>ptr_sexp</dt>
<dd>External pointer (SEXP) to an open <code>hdf5Dataset</code>
object managed by the R6 class.</dd></dl>

Arguments

Read dimension names (rownames / colnames) from an HDF5 dataset — rcpp_hdf5dataset_read_dimnames

<dl>

<dt>ptr_sexp</dt>
<dd>External pointer (SEXP) to an open <code>hdf5Dataset</code>
object managed by the R6 class.</dd>

</dl>

rcpp_hdf5dataset_read_dimnames: Read dimension names (rownames / colnames) from an HDF5 dataset

Description

Usage

Value

Arguments