| By David Smith | Article Rating: |
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| October 26, 2012 01:46 PM EDT | Reads: |
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As promised, the source distribution for R 2.15.2 is now available for download from the master CRAN repository. (Binary distributions for Windows, MacOS and Linux will be available from the CRAN mirror network in the coming days.) This latest point-update — codenamed "Trick or Treat" — improves the performance of the R engine and adds a few minor but useful features. Detailed changes can be found in the NEWS file, but highlights of the improvements include:
New statistical analysis method: Multistratum MANOVA
Hyman's method of constructing monotonic interpolation splines is now available.
Improved support for Polish language users
Functions in the parallel package (such as parLapply) will make use of a default cluster if one is specified.
Improved performance and reduced memory usage for some commonly-used functions including array, rep, tabulate and hist
Increased memory available for data on 64-bit systems (increased to 32Gb from 16Gb)
Several minor bugfixes
There is likely to be at least one further update to the 2.15.x series: a round-up of any further changes will probable be released as 2.15.3 shortly before R 2.16.0 is released, most likely around March 2013.
r-announce mailing list: R 2.15.2 is released
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Published October 26, 2012 Reads 1,582
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David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.< David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid
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