Software:Tidyverse

From HandWiki
Short description: Collection of R packages
Tidyverse
Written inR
TypePackage collection
Websitewww.tidyverse.org

The tidyverse is a collection of open source packages for the R programming language 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][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.[7][8][9][10] In 2019, the ecosystem has been published in the Journal of Open Source Software.[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 dissimilar to other programming languages.[12][13] On the other hand, some[14] have argued that tidyverse is a very effective way to introduce complete beginners into programming, as pedagogically it allows students to quickly begin doing powerful data processing tasks.[15][14]

Packages

The core packages, which provide functionality to model, transform, and visualize data, include:[16]

Additional packages assist the core collection.[17] Other packages based on the tidy data principles are regularly developed, such as tidytext[18] for text analysis, tidymodels[19] for machine learning, or tidyquant[20] for financial operations.

References

  1. "Welcome to the Tidyverse". https://blog.revolutionanalytics.com/2016/09/tidyverse.html. 
  2. "Tidyverse" (in en-us). https://www.tidyverse.org/. 
  3. Wickham, Stefan Milton Bache and Hadley (2014-11-22), magrittr: A Forward-Pipe Operator for R, https://cran.r-project.org/package=magrittr, retrieved 2020-04-20 
  4. Wickham, Hadley. 4 Pipes | The tidyverse style guide. https://style.tidyverse.org/pipes.html. 
  5. Wickham, Hadley (2019). Advanced R (Second ed.). Boca Raton. ISBN 978-0815384571. 
  6. "RDocumentation". https://www.rdocumentation.org/trends. 
  7. Duggan, Jim (2018-09-07). "Input and output data analysis for system dynamics modelling using the tidyverse libraries of R" (in en). System Dynamics Review 34 (3): 438–461. doi:10.1002/sdr.1600. ISSN 0883-7066. 
  8. Chang, Winston (2013) (in en). R Graphics Cookbook. "O'Reilly Media, Inc.". ISBN 9781449316952. https://books.google.com/books?id=_iVFgKTRYrQC&q=ggplot2. 
  9. C., Boehmke, Bradley (2016-11-17). Data wrangling with R. Cham. ISBN 9783319455990. OCLC 964404346. 
  10. Hadley, Wickham (2017). R for data science : import, tidy, transform, visualize, and model data. Grolemund, Garrett (First ed.). Sebastopol, CA. ISBN 9781491910399. OCLC 968213225. 
  11. Wickham, Hadley; Averick, Mara; Bryan, Jennifer; Chang, Winston; McGowan, Lucy D'Agostino; François, Romain; Grolemund, Garrett; Hayes, Alex et al. (21 November 2019). "Welcome to the Tidyverse". Journal of Open Source Software 4 (43): 1686. doi:10.21105/joss.01686. Bibcode2019JOSS....4.1686W. 
  12. Matloff, Norm (30 September 2019). "An opinionated view of the Tidyverse "dialect" of the R language". https://github.com/matloff/TidyverseSkeptic. Retrieved 28 October 2019. 
  13. Muenchen, Bob (23 March 2017). "The Tidyverse Curse" (in en). http://r4stats.com/2017/03/23/the-tidyverse-curse/. 
  14. 14.0 14.1 Heppler, Jason (2018-02-27). "Teaching the tidyverse to R novices" (in en). https://medium.com/@jaheppler/teaching-the-tidyverse-to-r-novices-7747e8ce14e. 
  15. on, Teach the tidyverse to beginners was published (5 July 2017). "Teach the tidyverse to beginners" (in en). http://varianceexplained.org/r/teach-tidyverse/. 
  16. "Tidyverse packages - Tidyverse" (in en-us). https://www.tidyverse.org/packages/. 
  17. "Tidyverse packages" (in en-us). https://www.tidyverse.org/packages/. 
  18. Silge, Julia (2023-02-01), tidytext: Text mining using tidy tools, https://github.com/juliasilge/tidytext, retrieved 2023-02-03 
  19. "Tidymodels" (in en-us). https://www.tidymodels.org/. 
  20. "Tidy Quantitative Financial Analysis" (in en). https://business-science.github.io/tidyquant/.