| By David Smith | Article Rating: |
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| March 19, 2013 11:59 AM EDT | Reads: |
468 |
by Thomas Dinsmore
Last week, Revolution Analytics released the Limited Availability edition of Revolution R Enterprise Release 6.2. Interest in this new release is high, and we're very pleased with user response. Over the next several weeks, I will share more detailed information about the capabilities included in this new release.
Revolution R Enterprise Release 6.2 supports open source R 2.15.3, the latest stable version. Release 6.1, our current GA release, supports open source R 2.14.2. Revolution R Enterprise users who upgrade to Release 6.2 benefit from 89 new features, 11 performance enhancements and 139 bug fixes in the open source R software releases.
Here are brief summaries of the new capabilities in each open source R release:
R 2.15.0
R 2.15.1
R 2.15.2
R 2.15.3
But that's not all. R package developers work on a different cadence from the R Project as a whole. There are at least 137 CRAN packages with new releases that depend on R 2.15.x, including:
devtools
arules
Matrix
lasso2
fGarch
Rcpp
tree
lattice
Rsurvey
There are also some recently released independent R packages, such as RStan, that depend on R 2.15. If you use any of these packages, Revolution R Enterprise Release 6.2 enables you to upgrade to a more recent version.
In the next post, I'll write about our exciting new capability for Stepwise Regression with Big Data. Read the original blog entry...
Published March 19, 2013 Reads 468
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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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