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George Ross Ihaka (born 1954[2]) is a New Zealand statistician who was an associate professor of statistics at the University of Auckland until his retirement in 2017.[3] Alongside Robert Gentleman, he is one of the creators of the R programming language.[4][5][6] In 2008, Ihaka received the Pickering Medal, awarded by the Royal Society of New Zealand, for his work on R.[7]

Education

Ihaka completed his undergraduate education at the University of Auckland, and obtained his PhD in 1985 from the University of California, Berkeley supervised by David R. Brillinger.[1] His thesis was on statistical modelling for seismic interferometry and was titled Rūaumoko, after the god of earthquakes, volcanoes and seasons in Māori mythology.[1][8][9]

Career and research

As of 2010, he was working on a new statistical programming language based on Lisp.[10][11] The Department of Statistics at the University of Auckland started a public lecture series in his honour in 2017.[12]

Personal life

Ihaka is of Ngāti Kahungunu, Rangitāne and Ngati Pākehā (New Zealand European) descent.[6][13]

References

  1. ^ a b c Ross Ihaka at the Mathematics Genealogy Project Edit this at Wikidata
  2. ^ Wickham, Hadley (2014). Advanced R. New York: Chapman and Hall/CRC. p. 437. ISBN 9780429192678.
  3. ^ "Ross Ihaka retires from the Department of Statistics – The University of Auckland". stat.auckland.ac.nz. Retrieved 17 September 2018.
  4. ^ 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.
  5. ^ Vance, Ashlee (7 January 2009). "Data Analysts Captivated by R's Power". The New York Times. Retrieved 7 January 2009.
  6. ^ a b Middleton, Juliet (9 January 2009). "Academic unfazed by rock star status". The New Zealand Herald. The New Zealand Herald.
  7. ^ Pickering Medal: Recipients, Royal Society of New Zealand.
  8. ^ Ihaka, George Ross (1985). Rūaumoko. berkeley.edu (PhD thesis). University of California, Berkeley. OCLC 910485430. ProQuest 303363827.
  9. ^ "David R. Brillinger's students". stat.berkeley.edu. Department of Statistics, University of California, Berkeley. Retrieved 14 August 2014.
  10. ^ Ihaka, Ross; Temple Lang, Duncan (25 August 2008). "Back to the Future: Lisp as a Base for a Statistical Computing System" (PDF). Compstat 2008: 21–33. doi:10.1007/978-3-7908-2084-3_2. ISBN 978-3-7908-2083-6.
  11. ^ Ihaka, Ross (2010). R: Lessons Learned, Directions for the Future (PDF). Joint Statistical Meetings 2010, Statistical Computing Section.
  12. ^ "Ihaka Lecture Series – The University of Auckland". stat.auckland.ac.nz. Retrieved 17 September 2018.
  13. ^ www.stat.auckland.ac.nz/~ihaka/ Edit this at Wikidata



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