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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 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.
Compared to libraries in other programming languages, R packages must conform to a relatively strict specification. [3] The Writing R Extensions manual [7] specifies a standard directory structure for R source code, data, documentation, and package metadata, which enables them to be installed and loaded using R's in-built package management ...
S-PLUS 4 was released for Windows in 1997, with features such as an updated GUI, integration with Excel, and editable graphics. S-PLUS 4.5 for Windows in 1998, with Scatterplot brushing, and the ability to create S-PLUS graphs from within Excel & SPSS. The software also became available for Linux & Solaris.
R Commander (Rcmdr) is a GUI for the R programming language, licensed under the GNU General Public License, and developed and maintained by John Fox in the sociology department at McMaster University. [2] Rcmdr looks and works similarly to SPSS GUI by providing a menu of analytic and graphical methods. It also displays the underlying R code ...
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There is also an active R community around the tidyverse. For example, there is the TidyTuesday social data project organised by the Data Science Learning Community (DSLC), [ 16 ] where varied real-world datasets are released each week for the community to participate, share, practice, and make learning to work with data easier. [ 17 ]