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  2. R package - Wikipedia

    en.wikipedia.org/wiki/R_package

    The group of packages strives to provide a cohesive collection of functions to deal with common data science tasks, including data import, cleaning, transformation and visualisation (notably with the ggplot2 package). The R Infrastructure packages [31] support coding and the development of R packages and as of 2021-05-04, Metacran [17] lists 16 ...

  3. Tidyverse - Wikipedia

    en.wikipedia.org/wiki/Tidyverse

    Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3] [4] [5] As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages. [6] The tidyverse is the subject of multiple books and papers.

  4. Rmetrics - Wikipedia

    en.wikipedia.org/wiki/Rmetrics

    The Rmetrics Repository is hosted by R-forge. The following developers (in alphabetical order) contribute or have contributed to the Rmetrics packages: Andrew Ellis, Christophe Dutang, David Lüthi, David Scott, Diethelm Würtz, Francesco Gochez, Juri Hinz, Marco Perlin, Martin Mächler, Maxime Debon, Petr Savicky, Philipp Erb, Pierre Chausse ...

  5. dplyr - Wikipedia

    en.wikipedia.org/wiki/Dplyr

    dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]

  6. rnn (software) - Wikipedia

    en.wikipedia.org/wiki/Rnn_(software)

    With the release of version 0.3.0 in April 2016 [4] the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural networks.", [5] which further increased usage.

  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. Bioconductor - Wikipedia

    en.wikipedia.org/wiki/Bioconductor

    Each Bioconductor package contains at least one vignette, which is a document that provides a textual, task-oriented description of the package's functionality. These vignettes come in several forms. Many are simple "How-to"s that are designed to demonstrate how a particular task can be accomplished with that package's software. Others provide ...

  9. Comparison of statistical packages - Wikipedia

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

    "A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology . 21 (2).