Ross Ihaka

Ross Ihaka
Ihaka at the 2010 New Zealand Open Source Awards
Alma mater University of Auckland
University of California, Berkeley
Known for R programming language
Awards Pickering Medal (2008)
Scientific career
Fields Statistical Computing
Institutions University of Auckland
Thesis Ruaumoko (1985)

George Ross Ihaka is a New Zealand statistician who is recognized, along with Robert Gentleman, as one of the originators of the R programming language.[1][2][3] He retired as an associate professor of statistics at the University of Auckland in 2017.[4]

Ihaka obtained his doctorate in 1985 from the University of California, Berkeley.[5] He received the Royal Society of New Zealand's Pickering Medal in 2008 for his work on R.[6] As of 2010, he was working on a new statistical programming language based on Lisp.[7][8] The Department of Statistics at the University of Auckland started a public lecture series in his honour in 2017[9].

References

  1. ↑ Ihaka, R.; Gentleman, R. (1996). "R: A Language for Data Analysis and Graphics". Journal of Computational and Graphical Statistics. 5 (3): 299–314. doi:10.2307/1390807. JSTOR 1390807.
  2. ↑ Vance, Ashlee (7 January 2009). "Data Analysts Captivated by R's Power". The New York Times. Retrieved 2009-01-07.
  3. ↑ "Academic unfazed by rock star status". New Zealand Herald. 10 January 2009.
  4. ↑ "Ross Ihaka retires from the Department of Statistics - The University of Auckland". www.stat.auckland.ac.nz. Retrieved 2018-09-17.
  5. ↑ "David's students". stat.berkeley.edu. Department of Statistics, University of California, Berkeley. Retrieved 14 August 2014.
  6. ↑ Pickering Medal: Recipients, Royal Society of New Zealand.
  7. ↑ Ihaka, Ross; Temple Lang, Duncan (25 August 2008). Back to the Future: Lisp as a Base for a Statistical Computing System (PDF). Compstat 2008.
  8. ↑ Ihaka, Ross (2010). R: Lessons Learned, Directions for the Future (PDF). Joint Statistical Meetings 2010, Statistical Computing Section.
  9. ↑ "Ihaka Lecture Series - The University of Auckland". www.stat.auckland.ac.nz. Retrieved 2018-09-17.
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