Bioconductor version: Release (3.15)
Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, ordinary arrays and, data frames.
Author: Hervé Pagès <hpages.on.github at gmail.com>, with contributions from Peter Hickey <peter.hickey at gmail.com> and Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>
Maintainer: Hervé Pagès <hpages.on.github at gmail.com>
Citation (from within R,
enter citation("DelayedArray")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DelayedArray")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DelayedArray")
R Script | DelayedArray / HDF5Array update | |
HTML | Implementing A DelayedArray Backend | |
R Script | Working with large arrays in R | |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | DelayedArray_0.22.0.tar.gz |
Windows Binary | DelayedArray_0.22.0.zip (64-bit only) |
macOS Binary (x86_64) | DelayedArray_0.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DelayedArray |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DelayedArray |
Package Short Url | https://bioconductor.org/packages/DelayedArray/ |
Package Downloads Report | Download Stats |
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