Resources for making R packages

Resources for making R packages

Author

Affiliation

Hause Lin

 

Published

Sept. 15, 2019

Citation

Lin, 2019

Table of Contents


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Overview

Where to begin

Build documentation for your package

Build website for your package

Testing and code coverage

Automated checking (continuous integration)

Releasing a package

Common issues and bugs

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Footnotes

    Corrections

    If you see mistakes or want to suggest changes, please create an issue on the source repository.

    Reuse

    Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/hauselin/rtutorialsite, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

    Citation

    For attribution, please cite this work as

    Lin (2019, Sept. 15). Data science: Resources for making R packages. Retrieved from https://hausetutorials.netlify.com/posts/2019-12-08-resources-for-making-r-packages/

    BibTeX citation

    @misc{lin2019resources,
      author = {Lin, Hause},
      title = {Data science: Resources for making R packages},
      url = {https://hausetutorials.netlify.com/posts/2019-12-08-resources-for-making-r-packages/},
      year = {2019}
    }