Red-R is a open source visual programming interface for R designed to bring the power of the R statistical environment to a broader audience. The goal of this project is to provide access to the massive library of packages in R (and even non-R packages) without any programming expertise.

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RedR (pronounced 'Red R') is an international NGO whose stated mission is to “rebuild lives in times of disaster by training, supporting, and providing aid workers to relief programmes across the world.”

A pre-compiled version of Red-R that is completely self contained. Installs everything within its own directory and will not conflict with other installed python/QT/R software.

We enable effective disaster response through learning and development. Join our free certified training, and learn from experts online, face-to-face, or self-paced. Through our publications, …

Red-R is a dataflow programming interface for R designed to bring the power of the R statistical environment to the general researcher or user. The goal of this project is to provide access to the massive library of packages in R without any programming expertise.

RedR Australia is a leading international humanitarian response agency that selects, trains and deploys technical specialists. Read the latest updates from RedR Australia. Discover who we are, what we do and our history and vision for the future. See where our humanitarian specialists are deployed across the globe.

A visual programming frontend for R similar to Orange Data Mining for Pyhton (project initiated by Anup Parikh and Kyle Covington). The authors do not maintain the project any more. The …

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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 RPy (http://rpy.sourceforge.net).