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Shiny is a free and open source R package for developing web applications (apps). [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5] It is not meant to be a replacement, whereby both ...
The RStudio integrated development environment (IDE) is available with the GNU Affero General Public License version 3. The AGPL v3 is an open source license that guarantees the freedom to share the code. RStudio Desktop and RStudio Server are both available in free and fee-based (commercial) editions. OS support depends on the format/edition ...
Free R (programming language) software. The programs on this page are free software dealing with the R programming language . Free and open-source software portal.
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. It supports IntelliSense, debugging, plotting, remote execution, SQL integration, and more. It is distributed as free and open-source software under the Apache License ...
MIT. Website. www.tidyverse.org. Free software portal. The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham [1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. [2] Characteristic features of tidyverse packages include extensive use ...
R package. 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). [1][2] The large number of packages ...
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.
With the release of version 0.3.0 in April 2016 the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural networks.", which further increased usage.