RStudio is an integrated development environment for R. RStudio combines an intuitive user interface with powerful coding tools.
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RStudio is an integrated development environment for R. RStudio combines an intuitive user interface with powerful coding tools.
Read moreStatET is an Eclipse based IDE for R. The software offers a set of mature tools for R coding and package building.
Read morejamovi is an advanced, free and open source real-time, statistical spreadsheet, providing a suite of common statistical methods.
Read moreRKWard aims to become an easy to use, transparent frontend to R, a powerful system for statistical computation and graphics.
Read moreR Commander is free statistical software. R commander was developed as an easy to use graphical user interface (GUI) for R.
Read moreJGR (pronounced ‘Jaguar’) is a universal and unified graphical user interface for R. JGR was introduced at the useR! meeting in 2004.
Read moreDeducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab.
Read moreThe R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
Read moreRattle provides a Gnome based open source interface to R functionality for binary classification tasks and data mining.
Read moretext2vec is an R package which provides an efficient framework with a concise API for text analysis and natural language processing (NLP).
Read morewhoami displays the username, full name, email address and GitHub username of the current user. It’s written in R.
Read moreTo provide an insight into the quality of software available for Linux, we give our verdict on the best graphical user interfaces for R.
Read moreWe recommend the finest software for performing statistical analysis. Open source goodness at its best.
Read moreHere’s our recommended free tutorials to learn a variety of programming languages. Learn C, C++, Java, Python, R, JavaScript, PHP, and many more.
Read moreThis article recommends 33 free books which will teach you the basics of R, how to produce amazing plots, how to apply R to lots of disciplines, and how to efficiently program in R. Many of the books are open source.
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