To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HilbertVis")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.4)
Functions to visualize long vectors of integer data by means of Hilbert curves
Author: Simon Anders <sanders at fs.tum.de>
Maintainer: Simon Anders <sanders at fs.tum.de>
Citation (from within R,
enter citation("HilbertVis")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HilbertVis")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HilbertVis")
R Script | Visualising very long data vectors with the Hilbert curve | |
Reference Manual |
biocViews | Software, Visualization |
Version | 1.32.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (8.5 years) |
License | GPL (>= 3) |
Depends | R (>= 2.6.0), grid, lattice |
Imports | |
LinkingTo | |
Suggests | IRanges, EBImage |
SystemRequirements | |
Enhances | |
URL | http://www.ebi.ac.uk/~anders/hilbert |
Depends On Me | HilbertVisGUI |
Imports Me | ChIPseqR, HilbertCurve |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | HilbertVis_1.32.0.tar.gz |
Windows Binary | HilbertVis_1.32.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | HilbertVis_1.32.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/HilbertVis/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/HilbertVis/ |
Package Downloads Report | Download Stats |
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