SparseArray
This is the released version of SparseArray; for the devel version, see SparseArray.
High-performance sparse data representation and manipulation in R
Bioconductor version: Release (3.23)
The SparseArray package provides array-like containers for efficient in-memory representation of multidimensional sparse data in R (arrays and matrices). The package defines the SparseArray virtual class and two concrete subclasses: COO_SparseArray and SVT_SparseArray. Each subclass uses its own internal representation of the nonzero multidimensional data: the "COO layout" and the "SVT layout", respectively. SVT_SparseArray objects mimic as much as possible the behavior of ordinary matrix and array objects in base R. In particular, they suppport most of the "standard matrix and array API" defined in base R and in the matrixStats package from CRAN.
Author: Hervé Pagès [aut, cre] 
, Vince Carey [fnd] , Rafael A. Irizarry [fnd] , Jacques Serizay [ctb]
Maintainer: Hervé Pagès <hpages.on.github at gmail.com>
citation("SparseArray")):Hervé Pagès. SparseArray: High-performance sparse data representation and manipulation in R. doi:10.18129/B9.bioc.SparseArray, R package version 1.12.3, https://bioconductor.org/packages/SparseArray.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SparseArray")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("SparseArray")| SparseArray objects | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataRepresentation, Infrastructure, Software |
| Version | 1.12.3 |
| In Bioconductor since | BioC 3.17 (R-4.3) (3.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.3.0), methods, Matrix, BiocGenerics (>= 0.43.1), MatrixGenerics (>= 1.11.1), S4Vectors (>= 0.43.2), S4Arrays (>= 1.12.1) |
| Imports | utils, stats, matrixStats, IRanges, XVector |
| System Requirements | |
| URL | https://bioconductor.org/packages/SparseArray |
| Bug Reports | https://github.com/Bioconductor/SparseArray/issues |
See More
| Suggests | HDF5Array, ExperimentHub, testthat, knitr, rmarkdown, BiocStyle |
| Linking To | S4Vectors, IRanges, XVector |
| Enhances | |
| Depends On Me | DelayedArray, DelayedRandomArray, h5mread, HDF5Array, TileDBArray, ZarrArray |
| Imports Me | alabaster.matrix, BatChef, batchelor, beachmat, DelayedMatrixStats, DelayedTensor, dreamlet, DropletUtils, glmGamPoi, GSVA, IDLFM, SCArray, scater, scone, scrapper, scRNAseq, scuttle, TSCAN, zellkonverter |
| Suggests Me | BiocGenerics, MatrixGenerics, metagenomeSeq, S4Arrays, SummarizedExperiment |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | SparseArray_1.12.3.tar.gz |
| Windows Binary (x86_64) | SparseArray_1.12.3.zip |
| macOS Binary (big-sur-x86_64) | SparseArray_1.12.3.tgz |
| macOS Binary (sonoma-arm64) | SparseArray_1.12.3.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/SparseArray |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SparseArray |
| Package Short Url | https://bioconductor.org/packages/SparseArray/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.23 | Source Archive |