To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("HilbertVis")

In most cases, you don't need to download the package archive at all.

HilbertVis

Hilbert curve visualization

Bioconductor version: Release (3.1)

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 is not available
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")

PDF	R Script	Visualising very long data vectors with the Hilbert curve
PDF		Reference Manual

biocViews	Software, Visualization
Version	1.26.0
In Bioconductor since	BioC 2.3 (R-2.8) (7 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
Suggests Me
Build Report

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

Package Source	HilbertVis_1.26.0.tar.gz
Windows Binary	HilbertVis_1.26.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	HilbertVis_1.26.0.tgz
Mac OS X 10.9 (Mavericks)	HilbertVis_1.26.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/HilbertVis/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/HilbertVis/
Package Downloads Report	Download Stats

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