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  2. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software

  3. Free statistical software - Wikipedia

    en.wikipedia.org/wiki/Free_statistical_software

    There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.

  4. Category:Free data analysis software - Wikipedia

    en.wikipedia.org/wiki/Category:Free_data...

    Category: Free data analysis software. 3 languages. ... Download QR code; Print/export Download as PDF; Printable version; In other projects Wikidata item; Appearance.

  5. Jamovi - Wikipedia

    en.wikipedia.org/wiki/Jamovi

    jamovi (stylised in all lower-case) is a free and open-source computer program for data analysis and performing statistical tests. The core developers of jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker, who were developers for the JASP project.

  6. List of free and open-source Android applications - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    Android phones, like this Nexus S running Replicant, allow installation of apps from the Play Store, F-Droid store or directly via APK files. This is a list of notable applications (apps) that run on the Android platform which meet guidelines for free software and open-source software.

  7. R (programming language) - Wikipedia

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

    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 software is open-source and free software.

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