Tidyverse

The tidyverse is a collection of open source R packages introduced by Hadley Wickham[1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data.[2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping.[3][4]

The core packages are ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, and forcats, which provide functionality to model, transform, and visualize data.[5] An additional 12 packages assist the core.[6] As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages.[7] The tidyverse is the subject of multiple books and papers.[8][9][10][11]

Critics of the tidyverse have argued it promotes tools that are harder to teach and learn than their base-R equivalents and are too dis-similar to other programming languages.[12][13]

References
  1. "Welcome to the Tidyverse". Revolutions. Retrieved 2018-11-26.
  2. "Tidyverse". www.tidyverse.org. Retrieved 2018-11-26.
  3. Wickham, Stefan Milton Bache and Hadley (2014-11-22), magrittr: A Forward-Pipe Operator for R, retrieved 2020-04-20
  4. Wickham, Hadley. 4 Pipes | The tidyverse style guide.
  5. "Tidyverse packages - Tidyverse". Retrieved 2018-11-26.
  6. "Tidyverse packages". www.tidyverse.org. Retrieved 2020-12-22.
  7. "RDocumentation". www.rdocumentation.org. Retrieved 2018-11-26.
  8. Duggan, Jim (2018-09-07). "Input and output data analysis for system dynamics modelling using the tidyverse libraries of R". System Dynamics Review. 34 (3): 438–461. doi:10.1002/sdr.1600. hdl:10379/15029. ISSN 0883-7066.
  9. Chang, Winston (2013). R Graphics Cookbook. "O'Reilly Media, Inc.". ISBN 9781449316952.
  10. C., Boehmke, Bradley (2016-11-17). Data wrangling with R. Cham. ISBN 9783319455990. OCLC 964404346.
  11. Hadley, Wickham (2017). R for data science : import, tidy, transform, visualize, and model data. Grolemund, Garrett (First ed.). Sebastopol, CA. ISBN 9781491910399. OCLC 968213225.
  12. Matloff, Norm (30 September 2019). "An opinionated view of the Tidyverse "dialect" of the R language". GitHub. Retrieved 28 October 2019.
  13. Muenchen, Bob (23 March 2017). "The Tidyverse Curse". r4stats.com.
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