Bioconductor version: Release (3.6)
This package provides an interface between HDF5 and R. HDF5's main features are the ability to store and access very large and/or complex datasets and a wide variety of metadata on mass storage (disk) through a completely portable file format. The rhdf5 package is thus suited for the exchange of large and/or complex datasets between R and other software package, and for letting R applications work on datasets that are larger than the available RAM.
Author: Bernd Fischer [aut], Gregoire Pau [aut], Mike Smith [aut, cre]
Maintainer: Mike Smith <mike.smith at embl.de>
Citation (from within R,
enter citation("rhdf5")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("rhdf5")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rhdf5")
R Script | rhdf5 | |
Reference Manual | ||
Text | NEWS |
biocViews | DataImport, Infrastructure, Software |
Version | 2.22.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 13 years) |
License | Artistic-2.0 |
Depends | methods |
Imports | zlibbioc |
LinkingTo | |
Suggests | bit64, BiocStyle, testthat |
SystemRequirements | GNU make |
Enhances | |
URL | |
Depends On Me | GSCA, HDF5Array |
Imports Me | beachmat, biomformat, diffHic, DmelSGI, DOQTL, h5vc, IONiseR, scater, scone |
Suggests Me | slalom, SummarizedExperiment, tximport |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | rhdf5_2.22.0.tar.gz |
Windows Binary | rhdf5_2.22.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | rhdf5_2.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/rhdf5 |
Package Short Url | http://bioconductor.org/packages/rhdf5/ |
Package Downloads Report | Download Stats |
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