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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. 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 ...

  4. 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 ...

  5. Easystats - Wikipedia

    en.wikipedia.org/wiki/Easystats

    The easystats collection of open source R packages was created in 2019 and primarily includes tools dedicated to the post-processing of statistical models. [1] [2] As of May 2022, the 10 packages composing the easystats ecosystem have been downloaded more than 8 million times, and have been used in more than 1000 scientific publications.

  6. dplyr - Wikipedia

    en.wikipedia.org/wiki/Dplyr

    It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1] Data analysts typically use dplyr in order to transform existing datasets into a format better suited for some particular type of analysis, or data visualization. [2] [3] For instance, someone seeking to analyze a large dataset may wish to ...

  7. 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).

  8. 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]

  9. Knitr - Wikipedia

    en.wikipedia.org/wiki/Knitr

    The code chunks can be regarded as R-scripts that load data, performs data processing and; creates output data (e.g. descriptive analysis) or output graphics (e.g. boxplot diagram). The implementation of logical conditions in R can provide text elements for the dynamic report depended on the statistical analysis. For example: