The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full December edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Applications of R in Business Contest. A judging panel of industry experts and R...
Posts Tagged ‘ REvolution ’
RHadoop update: new tools for Hadoop map-reduce tasks in R
The open-source RHadoop project to integrate R and Hadoop continues apace, with a new version of the rmr package released this week. Changes in this version improve performance when storing and retrieving R objects from Hadoop with a native serialization process, support for equijoins (a MapReduce-style merge) and some new higher-level R functions to make writing map-reduce tasks simpler....
Forbes: Big Data needs to earn its keep
Dan Woods at Forbes makes a salient point about Big Data: it's not good enough merely to spend a ton of money to collect and store data -- it needs to earn its keep via data analysis: Let’s say you buy a huge Hadoop cluster along with Revolution Analytics, a productization of the R language that has been adapted...
New CRAN mirror from Revolution Analytics
There's a new CRAN mirror available: cran.revolutionanalytics.com. It's provided by Revolution Analytics and hosted at Rackspace's high-availability data center in Dallas, TX. Especially for R users located in the western US, using this mirror will provide high-bandwidth access to open-source R downloads and CRAN packages while taking the load off of the main cran.r-project.org server. The mirror is updated...
Judging panel for Applications of R in Business contest
Now that the final submissions are in for the Applications of R in Business contest, it's time to announce the judging panel who will select the winners for $20,000 in cash prizes from Revolution Analytics. They are: Edd Dumbill, technologist and writer for O'Reilly Media David Menninger, VP & Research Director at Ventana Research Steve Miller, technology writer and...
Applications of R in Business Contest: Final Entries
The revision period for the Applications of R in Business Contest is now at a close, and the competitors have finalized their entries for a chance at $20,000 in prizes from Revolution Analytics. We're now in the judging phase, where the finalists will be rated on applicability to business, innovation and persuasiveness by an independent panel of judges from...
Interviews on Revolution R Enterprise 5.0
For those looking for more background behind the updates in Revolution R Enterprise 5.0, there are now a couple of interviews online where I talk about the new release. At IT Business Edge ("Revolution Analytics' Goal: Make R Analysis Enterprise-Friendly"), I had a chat with Loraine Lawson about how Revolution R Enterprise fits within the analytics stack, its big-data...
R still the preferred tool of predictive modelers competing at Kaggle
As reported on the Kaggle blog No Free Hunch, R remains the preferred tool for data scientists seeking to win the prizes in the predictive modeling competitions: More than 30% of Kaggle competitors report using R for their analysis, up from 22% a year ago. R's flexibility and the breadth of packages for machine learning and predictive modeling make...
DecisionStats review of Revolution R Enterprise 5.0
At the DecisionStats blog, Ajay Ohri has published his review of Revolution R Enterprise 5.0. The review includes a slideshow highlighting some of the features of the new release, including the expanded code snippets manager and the new cluster job manager. It's well worth checking out if you'd like a quick overview of what's new in the latest release....
Revolution R Enterprise 5.0 now available for free academic download
Revolution R Enterprise 5.0, which we announced last week, is now available for free download to students and faculty at academic institutions worldwide. If you've downloaded Revolution R Enterprise via the academic program before and are on the mailing list, you will have already received an email with download instructions; if not, just complete the form linked below and...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
