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.

HilbertVis

 

   

Hilbert curve visualization

Bioconductor version: Release (3.2)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HilbertVis")

Documentation

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

browseVignettes("HilbertVis")

 

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

Details

biocViews Software, Visualization
Version 1.28.0
In Bioconductor since BioC 2.3 (R-2.8) (7.5 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  

Package Archives

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

Package Source HilbertVis_1.28.0.tar.gz
Windows Binary HilbertVis_1.28.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) HilbertVis_1.28.0.tgz
Mac OS X 10.9 (Mavericks) HilbertVis_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/HilbertVis/tree/release-3.2
Package Short Url http://bioconductor.org/packages/HilbertVis/
Package Downloads Report Download Stats

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