[R-pkgs] Introducing Red-R: visual programming for R

From: Anup Parikh <anup.parikh_at_gmail.com>
Date: Sat, 30 Oct 2010 16:07:05 -0700


Dear R-Packages Mailing List,

The Red-R development team would like to introduce Red-R: a user friendly visual programming and data analysis framework for R.

Red-R makes the advanced functionality of R available to the non-computational users by hiding the computational complexity behind a visual programming interface. In addition, Red-R improves analysis readability and data sharing to facilitates better communication in inter-disciplinary teams.

Analyses are performed by visually linking a series of widgets together that read, manipulate, and interactively display data. These pipelines, representing both the data and analysis, can be easily shared with others. Red-R can also generate reports in odt, html and latex to help better document and share results.

Red-R is an extension of Orange (http://www.ailab.si/orange), a data mining framework written in Python and Qt. Red-R accesses all the functionality and data in R, using the Python interface for R provided by RPy2 (http://rpy.sourceforge.net). This framework is highly flexible and can be extended to include virtually all the functionally R packages currently offer.

If you maintain an R package and are interested in created a GUI interface please don't hesitate to contact us. We would be happy to provide any help in creating the Red-R packages.

We would like to thank all those that helped test the software over the last year and a half and welcome any feedback/suggestions from the R community.

Please visit the Red-R webpage (www.red-r.org) for more information.

Thank you,
Red-R Development Team
Anup Parikh (anup_at_red-r.org)
Kyle R. Covington (kyle_at_red-r.org)



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