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  2. RStudio - Wikipedia

    en.wikipedia.org/wiki/RStudio

    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.

  3. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    Version 1.0.0 released on February 29, 2000 (2000-02-29), a leap day; Version 2.0.0 released on October 4, 2004 (2004-10-04), "which at least had a nice ring to it" [45] The idea of naming R version releases was inspired by the Debian and Ubuntu version naming system. Dalgaard also noted that another reason for the use of Peanuts references for ...

  4. R package - Wikipedia

    en.wikipedia.org/wiki/R_package

    The Comprehensive R Archive Network (CRAN) homepage. The Comprehensive R Archive Network (CRAN) is R's central software repository, supported by the R Foundation. [9] It contains an archive of the latest and previous versions of the R distribution, documentation, and contributed R packages. [10]

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  7. Software versioning - Wikipedia

    en.wikipedia.org/wiki/Software_versioning

    The Office 2007 release of Microsoft Office had an internal version number of 12. The next version, Office 2010, has an internal version of 14, due to superstitions surrounding the number 13. [54] Visual Studio 2013 is Version number 12.0 of the product, and the new version, Visual Studio 2015 has the Version number 14.0 for the same reasons.

  8. R Tools for Visual Studio - Wikipedia

    en.wikipedia.org/wiki/R_Tools_for_Visual_Studio

    R Tools for Visual Studio ... The first version released was 0.3 on March 5, 2016, and the current (version 1.0) was released in 2017. [3]

  9. Tidyverse - Wikipedia

    en.wikipedia.org/wiki/Tidyverse

    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 ]