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  2. JASP - Wikipedia

    en.wikipedia.org/wiki/JASP

    JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS .

  3. Statistica - Wikipedia

    en.wikipedia.org/wiki/STATISTICA

    Statistica 9 was released in 2009, supporting 32-bit and 64-bit computing. Statistica 10 was released in November 2010. This release featured further performance optimizations for the 64-bit CPU architecture, as well as multithreading technologies, integration with Microsoft SharePoint , Microsoft Office 2010 and other applications, the ability ...

  4. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    Supports a range of annotation types. Annotations are stored separately from the unmodified PDF file, or (since version 0.15 with Poppler 0.20) can be saved in the document as standard PDF annotations. Evince: GNU GPL: Yes Yes Default PDF and file viewer for GNOME; replaces GPdf. Supports addition and removal (since v3.14), of basic text note ...

  5. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...

  6. 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 There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics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.

  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.

  8. 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.

  9. S-PLUS - Wikipedia

    en.wikipedia.org/wiki/S-PLUS

    Its statistical analysis capabilities are commonly used by econometricians. The S-PLUS FinMetrics software package was developed for econometric time series analysis. [1] Due to the increasing popularity of the open source S successor R, TIBCO Software released the TIBCO Enterprise Runtime for R (TERR) as an alternative R interpreter. [2]