I'd like to share with you a project that implements a dataflow programming interface for R <http://www.r-project.org/> designed to bring the power of the R statistical environment to the general user. The goal of this project is to provide access to the massive library of packages in R without any programming expertise. RedR is based on Orange ( http://www.ailab.si/orange/) and uses the Python-R interface of rpy <http://rpy.sourceforge.net/index.html> ( http://rpy.sourceforge.net/index.html). The interface is quiet easy for the novice user to understand and still provides a robust interface to R for the expert user. We hope that this will facilitate interaction between the expert user and the novice.
This framework also allows for instantaneous updating of the pipeline and more interactivity with data. Additionally, the future goals include adding the interactive plotting functionality of QT. Please check out this project at http://code.google.com/p/r-orange/ and join our group at http://groups.google.com/group/red-r This is still in the development phase but as a proof-of-concept we have made several tools that are useful for plotting, subsetting, and comparing data as well as an interface into Bioconductor. We would greatly appreciate your feedback. Anup Parikh Baylor College of Medicine Houston, TX [[alternative HTML version deleted]] _______________________________________________ R-SIG-GUI mailing list R-SIG-GUI@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-gui
