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  2. RExcel - Wikipedia

    en.wikipedia.org/wiki/RExcel

    RExcel is an add-on for Microsoft Excel that allows access to the statistics package R from within Excel. It uses the statconnDCOM server and, for certain configurations, the room package. It uses the statconnDCOM server and, for certain configurations, the room package.

  3. ggplot2 - Wikipedia

    en.wikipedia.org/wiki/Ggplot2

    ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...

  4. R Commander - Wikipedia

    en.wikipedia.org/wiki/R_Commander

    It also displays the underlying R code that runs each analysis. [3] Rcmdr can be installed from within R, like any R package. Integration with Microsoft Excel is provided by the RExcel package, which also provides an RAndFriendsLight "bundle" graphical installer. R commander is used as a suggested learning environment for a number of R-centric ...

  5. R package - Wikipedia

    en.wikipedia.org/wiki/R_package

    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).

  6. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    Descriptive statistics Nonparametric statistics Quality control Survival analysis Data processing Base stat. [Note 2] Normality tests [Note 3] CTA [Note 4] Nonparametric comparison, ANOVA: Cluster analysis Discriminant analysis BDP [Note 5] Ext. [Note 6]

  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. Jamovi - Wikipedia

    en.wikipedia.org/wiki/Jamovi

    jamovi is an open source graphical user interface for the R programming language. [3] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [4] [5] It also can be used for linear regression, [6] mixed models and Bayesian models. [7]

  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]