(cross-posted to Graphviz-devel) Rgraphviz 2.2.1 has been released as part of the Bioconductor 2.11 release.
Rgraphviz is an R interface to the Graphviz library (www.graphviz.org), which is used for graph layouts. Rgraphviz is one of the most popular packages from the Bioconductor project with more than 39,000 downloads in the last 12 months. The major, user-visible change in Rgraphviz >= 2.x.x is that Rgraphviz no longer depends on an externally installed Graphviz. Instead it is bundled with a patched version of Graphviz 2.28.0. This should greatly simplify installation on all platforms (Linux, OS X and Windows, both 32 and 64 bit). It is now installed as any other Bioconductor package, simply by: R> source("http://www.bioconductor.org/biocLite.R") R> biocLite("Rgraphviz") In addition, numerous bugfixes to the Rgraphviz code has been incorporated. This work could not have been completed without the generous help of numerous people. In alphabetical order (hopefully including all who have helped): >From the Graphviz developers email list John Ellson Emden R. Gansner Stephen North Gordon Smith Help with the R package, extensive testing and building Dan Tenenbaum Help with porting to 64 bit Windows, and for making 64 bit Windows binaries of Graphviz available. Brian D Ripley Testing and bug reporting Claus Bendtsen Henrik Bengtsson Thomas Cokelaer Laurent Gautier Anand Gavai Klaus K. Holst Mike Jiang Mikko Korpela David Meyer Roger D Peng Adi Tarca Jitao David Zhang Best, Kasper Daniel Hansen Dept. of Biostatistics and Institute of Genetic Medicine Johns Hopkins University _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.