Publications by David Smith
A twitter feed for new R packages
Want to keep up-to-date on the latest R packages released to CRAN? Dirk Eddelbuettel's CRANberries service now tweets the release of new R packages to @CRANberriesFeed, so all you need to do is follow that user on Twitter. R hackers may also be interested to see how this Twitter feed was implemented — in R, of course. Dirk has shared the detail...
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A new sponsorship program for local R user groups
Over the past year, Revolution Analytics has sponsored a number of local R user groups, and we've been thrilled to see the enthusiasm with which R users are coming together. This year, we decided to expand and formalize our sponsorship program, so that any local R user group, whether just starting up or already established, can benefit from addit...
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New R User Group in Minneapolis/St. Paul
The Twin Cities R User Group has been around for a little while, but has just launched a new site at meetup.com. Their next meeting will be on February 16, where Erik Iverson will be giving a talk on using R to generate dynamic statistical reports using R's literate programming tool, Sweave. If you're in the Minneapolis-St.Paul area, this would ...
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Slides and replay for "Portfolio design, optimization and stability analysis"
Thanks to everyone who attended yesterday's webinar, “Portfolio design, optimization and stability analysis“, presented by Diethelm Würtz of the Rmetrics Association and sponsored by Revolution Analytics, Sybase, Finance Online and NeuralTechSoft. (And thanks in particular for your patience for the last start — in a perfect demonstration ...
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Tricks to manage memory in an R session
Unless you're using an out-of-memory solution to manage large data objects (such as the RevoScaleR package in Revolution R Enterprise), then R always allocates memory for every object in your working session. If you're working with many objects (or even just a few large objects) then you'll need to take care to manage R's memory usage to avoid th...
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Revolution R Enterprise 4.2 now available
Today we're pleased to announce the availability of the latest update to the Revolution R family, Revolution R Enterprise 4.2. This release includes all of the capabilities of the most powerful statistical software available, open-source R (version 2.11.1), plus additional components for big data analysis, integration, user experience and more....
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The R-Files: Dirk Eddelbuettel
“The R-Files” is an occasional series from Revolution Analytics, where we profile prominent members of the R Community. Name: Dirk Eddelbuettel Background: Ph.D. (EHESS, France), Quantitative Analyst Nationality: Canadian Years Using R: About 15 Known for: RQuantlib, Rcpp/RInside, R packaging for Debian/Ubuntu, Task Views for F...
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R courses from Statistics.com
If you're looking for some in-depth training in R, here are some upcoming courses presented by R gurus and hosted by statistics.com to consider: Feb 11: Modeling in R (Sudha Purohit — more details after the jump)Mar 4: Introduction to R – Data Handling (Paul Murrell)Apr 15: Programming in R (Hadley Wickham)Apr 29: Graphics in R ...
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Revolution in the News
Between the recent launch of Revolution R Enterprise 4.2 and the announcement of the SAS to R Challenge, there's been a flurry of recent news about Revolution Analytics and R in the media. Here's a quick recap: The Register's Timothy Prickett Morgan comments on the SAS to R Challenge: 'Red Hat for stats' goes toe-to-toe with SAS. “By supporti...
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Abstracts for R/Finance 2011 due February 15
If you're planning to go to R/Finance 2011[*] in Chicago (and if you're doing quantitative finance with R, you definitely should), time is running out to submit your abstract for contributed talks. The best part of R/Finance is learning about all the interesting ways R is used to analyze financial data, so why not share your experiences as you le...
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