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Some of knitr's extensions include the R Markdown format [4] (used in reports published on RPubs [5]), caching, TikZ graphics and support to other languages such as Python, Perl, C++, Shell scripts and CoffeeScript, and so on. knitr is officially supported in the RStudio IDE for R, LyX, Emacs/ESS and the Architect IDE for data science.
RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser .
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
R Tools for Visual Studio (RTVS) is a plug-in for the Microsoft Visual Studio integrated development environment (IDE), used to provide support for programming in the language R.
ESS extension support for emacs. vi support also available, e.g. in spacemacs (useful for pair programming). Visual Studio Code (using the Julia extension) MIT License Yes Yes Yes FreeBSD [47] Yes Yes (i.e. flame graph viewing support) Has a plotting pane. License is for the extension; and Microsoft's source code (only).
In addition, users can install modules from a library of community created open source add-on modules to extend the package's capabilities. [ 10 ] [ 11 ] These modules are written in the R programming language and make use of the jmv [ 12 ] and jmvtools [ 13 ] libraries to create the interface and display code.
In August 2023, Jupyter AI, a Jupyter extension, was released. This extension incorporates generative artificial intelligence into Jupyter notebooks, enabling users to explain and generate code, rectify errors, summarize content, inquire about their local files, and generate complete notebooks based on natural language prompts.