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Everything about R package

Extensions to the R statistical programming language

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 large number of packages available for R, and the ease of installing and using them, has been cited as a major factor driving the widespread adoption of the language in data science. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: R packageA 5-minute orientation
  2. Skim a recent paper: The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*Influential work since 2022
  3. Pick up a classic book: Introductory time series with RThe most-reprinted book on the subject
  4. Read the landmark paper: edgeR : a Bioconductor package for differential expression analysis of digital gene expression dataCited 41,337 times
  5. Go sideways: R (programming language)A closely related topic
  6. Go sideways: Rnn (software)A closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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