S4Arrays

Foundation of array-like containers in Bioconductor


Bioconductor version: Release (3.20)

The S4Arrays package defines the Array virtual class to be extended by other S4 classes that wish to implement a container with an array-like semantic. It also provides: (1) low-level functionality meant to help the developer of such container to implement basic operations like display, subsetting, or coercion of their array-like objects to an ordinary matrix or array, and (2) a framework that facilitates block processing of array-like objects (typically on-disk objects).

Author: Hervé Pagès [aut, cre], Jacques Serizay [ctb]

Maintainer: Hervé Pagès <hpages.on.github at gmail.com>

Citation (from within R, enter citation("S4Arrays")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("S4Arrays")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("S4Arrays")
A quick overview of the S4Arrays package HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DataRepresentation, Infrastructure, Software
Version 1.6.0
In Bioconductor since BioC 3.17 (R-4.3) (1.5 years)
License Artistic-2.0
Depends R (>= 4.3.0), methods, Matrix, abind, BiocGenerics(>= 0.45.2), S4Vectors, IRanges
Imports stats, crayon
System Requirements
URL https://bioconductor.org/packages/S4Arrays
Bug Reports https://github.com/Bioconductor/S4Arrays/issues
See More
Suggests BiocParallel, SparseArray(>= 0.0.4), DelayedArray, testthat, knitr, rmarkdown, BiocStyle
Linking To S4Vectors
Enhances
Depends On Me DelayedArray, SparseArray
Imports Me alabaster.matrix, DelayedTensor, HDF5Array, scran, scuttle, SummarizedExperiment
Suggests Me BiocGenerics
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package S4Arrays_1.6.0.tar.gz
Windows Binary (x86_64) S4Arrays_1.6.0.zip (64-bit only)
macOS Binary (x86_64) S4Arrays_1.6.0.tgz
macOS Binary (arm64) S4Arrays_1.5.11.tgz
Source Repository git clone https://git.bioconductor.org/packages/S4Arrays
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/S4Arrays
Bioc Package Browser https://code.bioconductor.org/browse/S4Arrays/
Package Short Url https://bioconductor.org/packages/S4Arrays/
Package Downloads Report Download Stats