Technology-driven Advance in the Worlds of Statistics, Machine
Learning and Data Mining.
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Technology-enabled advance in the worlds of statistics, machine
learning and data mining. New Zealand Science Review 68 (2011): 113-116.
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Code,
with graphs and commentary
Code
only, as a text file
Code and commentary is given for the calculations described in the
text, plus some additional graphs and calculations
Information and Commentary on the R System
Comparison
between R and Broadly Comparable Systems
Youtube tutorial videos, for novices users of R
These are strongly recommended. Try them; there is nothing to lose!
Web site for R (CRAN = Comprehensive R Archive Network)
John Maindonald's web site
Official R email lists
R-downunder
R-related books
New York Times article on R
Follow-up to the NY Times article in the NZ Herald
Open source R in commercial revolution - article from The Register
Top ten RRReasons R is bad for you?
Notes and Overheads from AMSI/SSAI ASC2008 Satellite R Workshop
International Meetings
useR! is held annually. Additionally, R is a strong
focus of the more specialized Directions in Statistical
Computing meeting, held every two years.
Commentary on talks at useR! 2009 (July 7-10 in Rennes,
France), and at DSC2009 (July 13-14 in Copenhagen)
email: john.maindonald AT anu.edu.au