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'''Hadley Wickham''' (born 14 October 1979) is a [[statistician]] from [[New Zealand]] who is currently Chief Scientist at [[RStudio]]<ref>{{cite web|url=http://washstat.org/newsletters/wss1310.shtml |title=Washington Statistical Society October 2013 Newsletter |publisher=Washington Statistical Society |date= |accessdate=2014-02-12}}</ref><ref>{{cite web|url=http://news.idg.no/cw/art.cfm?id=F66B12BB-D13E-94B0-DAA22F5AB01BEFE7 |title=60+ R resources to improve your data skills ( - Software ) |publisher=News.idg.no |date= |accessdate=2014-02-12}}</ref> and an [[Professors in the United States#Adjunct professor|adjunct]] [[Professor]] of statistics at the [[University of Auckland]],<ref name="University of Auckland Adjunct Professorship - Dr Hadley Alexander Wickham - Honorary, Academic">{{cite web|url=https://www.stat.auckland.ac.nz/people/hwic004|title=University of Auckland|accessdate=2017-09-03}}</ref> [[Stanford University]],<ref name="Stanford University - Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)">{{cite web|url=https://profiles.stanford.edu/hadley-wickham|title=Hadley Wickham's Profile - Stanford Profiles|accessdate=2017-09-03}}</ref> and [[Rice University]].<ref name="about">{{cite web|url=http://www.rstudio.com/about/ |title=About - RStudio |accessdate=2014-08-13}}</ref> He is best known for his development of open-source [[R package|software packages]] for the [[R (programming language)|R statistical programming language]] that implement logics of [[data visualisation]] and data transformation. Wickham's packages and writing are known for advocating a [[tidy data]] approach to data import, analysis and modelling methods.
'''Hadley Wickham''' (born 14 October 1979) is a [[statistician]] from [[New Zealand]] who is currently Chief Scientist at [[RStudio]]<ref>{{cite web|url=http://washstat.org/newsletters/wss1310.shtml |title=Washington Statistical Society October 2013 Newsletter |publisher=Washington Statistical Society |date= |accessdate=2014-02-12}}</ref><ref>{{cite web|url=http://news.idg.no/cw/art.cfm?id=F66B12BB-D13E-94B0-DAA22F5AB01BEFE7 |title=60+ R resources to improve your data skills ( - Software ) |publisher=News.idg.no |date= |accessdate=2014-02-12}}</ref> and an [[Professors in the United States#Adjunct professor|adjunct]] [[Professor]] of statistics at the [[University of Auckland]],<ref name="University of Auckland Adjunct Professorship - Dr Hadley Alexander Wickham - Honorary, Academic">{{cite web|url=https://www.stat.auckland.ac.nz/people/hwic004|title=University of Auckland|accessdate=2017-09-03}}</ref> [[Stanford University]],<ref name="Stanford University - Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)">{{cite web|url=https://profiles.stanford.edu/hadley-wickham|title=Hadley Wickham's Profile - Stanford Profiles|accessdate=2017-09-03}}</ref> and [[Rice University]].<ref name="about">{{cite web|url=http://www.rstudio.com/about/ |title=About - RStudio |accessdate=2014-08-13}}</ref> He is best known for his development of open-source [[R package|software packages]] for the [[R (programming language)|R statistical programming language]] for [[data visualisation]], notably [[ggplot2]], and data transformation, notably his "[[tidyverse]]" packages, which support a [[tidy data]] approach to data import, analysis and modelling.


==Life==
==Life==

Revision as of 15:44, 2 November 2020

Hadley Wickham
Born (1979-10-14) 14 October 1979 (age 45)
Hamilton, New Zealand
Alma materIowa State University, University of Auckland
Known forR packages
Awards
Scientific career
Fields
ThesisPractical tools for exploring data and models (2008)
Doctoral advisors

Hadley Wickham (born 14 October 1979) is a statistician from New Zealand who is currently Chief Scientist at RStudio[1][2] and an adjunct Professor of statistics at the University of Auckland,[3] Stanford University,[4] and Rice University.[5] He is best known for his development of open-source software packages for the R statistical programming language for data visualisation, notably ggplot2, and data transformation, notably his "tidyverse" packages, which support a tidy data approach to data import, analysis and modelling.

Life

Wickham received a Bachelors of Human Biology, and a B.Sc. and a M.Sc. in statistics at the University of Auckland in 1999–2004 and his PhD at Iowa State University in 2008 under the supervision of Di Cook and Heike Hofmann.[6][7] In 2006 he was awarded the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualisation.[8] His sister Charlotte Wickham is also a statistician.

He is a prominent and active member of the R user community and has developed several notable and widely used packages including ggplot2, plyr, dplyr, and reshape2.[5][9] Wickham's data analysis packages for R are collectively known as the 'tidyverse'.[10] According to Wickham's "tidy" approach, each variable should be a column, each observation should be a row, and each type of observational unit should be a table.[11]

Honors and awards

Wickham was named a Fellow by the American Statistical Association in 2015 for "pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing".[12] Wickham was awarded the international COPSS Presidents' Award in 2019 for "influential work in statistical computing, visualisation, graphics, and data analysis" including "making statistical thinking and computing accessible to a large audience".[13]

Bibliography

  • Wickham, Hadley; Grolemund, Garrett (2017). R for Data Science : Import, Tidy, Transform, Visualize, and Model Data. Sebastopol, CA: O'Reilly Media. ISBN 1491910399. OCLC 968213225.
  • Wickham, Hadley (2015). R Packages. Sebastopol, CA: O'Reilly Media, Inc. ISBN 978-1491910597.
  • Wickham, Hadley (2014). Advanced R. New York: Chapman & Hall/CRC The R Series. ISBN 978-1466586963.
  • Wickham, Hadley (2011). "The split-apply-combine strategy for data analysis". Journal of Statistical Software. 40 (1): 1–29. doi:10.18637/jss.v040.i01.
  • Wickham, Hadley (2010). "A layered grammar of graphics". Journal of Computational and Graphical Statistics. 19 (1): 3–28. doi:10.1198/jcgs.2009.07098.
  • Wickham, Hadley (2010). "stringr: modern, consistent string processing". The R Journal. 2 (2): 3–28.
  • Wickham, Hadley (2009). ggplot2: Elegant Graphics for Data Analysis (Use R!). New York: Springer. ISBN 0387981403.
  • Wickham, Hadley (2007). "Reshaping data with the reshape package". Journal of Statistical Software. 21 (12): 1–20. doi:10.18637/jss.v021.i12.

References

  1. ^ "Washington Statistical Society October 2013 Newsletter". Washington Statistical Society. Retrieved 2014-02-12.
  2. ^ "60+ R resources to improve your data skills ( - Software )". News.idg.no. Retrieved 2014-02-12.
  3. ^ "University of Auckland". Retrieved 2017-09-03.
  4. ^ "Hadley Wickham's Profile - Stanford Profiles". Retrieved 2017-09-03.
  5. ^ a b "About - RStudio". Retrieved 2014-08-13.
  6. ^ Wickham, Hadley Alexander (2008). Practical tools for exploring data and models (PhD). Iowa State University. doi:10.31274/rtd-180813-16852. OCLC 247410260. Retrieved 2019-02-14.
  7. ^ "The R-Files: Hadley Wickham".
  8. ^ "John Chambers Award Past winners". ASA Sections on Statistical Computing, Statistical Graphics. Retrieved 2014-08-12.
  9. ^ "Top 100 R Packages for 2013 (Jan-May)!". R-statistics blog. Retrieved 2014-08-12.
  10. ^ "Welcome to the Tidyverse". Revolution Analytics. Retrieved 2016-09-21.
  11. ^ Wickham, Hadley (2014). "Tidy Data". Journal of Statistical Software. 59 (10). doi:10.18637/jss.v059.i10.
  12. ^ "ASA names 62 fellows" (PDF). American Statistical Association. Archived from the original (PDF) on 4 March 2016. Retrieved 14 November 2015.
  13. ^ "Kiwi wins prestigious international statistics award for his outstanding contributions to the profession". Retrieved 1 August 2019.

Further reading

Retrieved from "https://en.wikipedia.org/enwiki/w/index.php?title=Hadley_Wickham&oldid=986715397"