Blog Archives

Webinar on Portfolio Rebalancing with R and Sybase

November 3, 2011
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R users in the financial industry may be interested in the following webinar hosted by Revolution Analytics' partner Sybase on November 10: Portfolio Rebalancing Using R and Sybase RAP for Intraday Risk Management With volatility and violent intraday swings becoming the new normal, intraday risk controls are now needed to not only reduce your exposures across multiple asset classes,...

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"Applications of R" contest submissions online

November 2, 2011
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Thanks to everyone for participating in the "Applications of R in Business" contest. R users submitted more than 25 entries, describing how R is used in industries including life sciences, finance, manufacturing, sentiment analysis, and even sports. Some entries are just outlines for now (competitors have until November 30 to finalize their entries), but already there are some quite...

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R 2.14 for Windows: now with SVG support

November 1, 2011
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One additional new feature in the latest release of R: the standard binaries of R 2.14 from the R Project now include Cairo support. For Windows users, this means that you can now create SVG graphics in R -- the best format for displaying R graphics on the web -- without having to compile R yourself. Note that if...

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Putting the R in Hallowe’en

October 31, 2011
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Putting the R in Hallowe’en

PhD student Caroline Tucker created a Hallowe'en card using the R graphics system: You can find the R code to create the above image here. Note that you'll need to install the fields and MBA packages first. One interesting aspect of the code is the use of the mba.surf function to create the shading that gives the Jack-o'-lantern its...

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R 2.14.0 is released

October 31, 2011
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As scheduled, the first release of the new R 2.14 series is now available for download in source code form. As of this writing, pre-compiled binaries for Windows, Linux and MacOS aren't yet available, but will appear on your local CRAN mirror in the next couple of days. One of the biggest changes in 2.14 is the introduction of...

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Last chance to enter the $20,000 "Applications of R" contest

October 31, 2011
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Don't forget that midnight tonight (Pacific Daylight Time) is the deadline to submit your draft entry for the Applications of R in Business Contest, with $20,000 in prizes up for grabs from Revolution Analytics. You'll still be able to edit your entry during the public review period (until November 30), but no new entries will be accepted for the...

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New R User Group in Dublin, Ireland

October 28, 2011
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There have been several requests to an R User Group in Ireland, so thanks to Kevin O'Brien for stepping up to co-ordinate the Dublin-R group. Kevin invites all R users in the area to the first meeting on November 17: The Dublin R users group will be holding a series of monthly meetings. On the agenda is the development...

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Building diversified portfolios with R

October 27, 2011
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Building diversified portfolios with R

A common approach to reducing risk associated with financial portfolios is diversification. A portfolio made of components that are all highly correlated with each other -- a portfolio composed solely of financial stocks, for example -- is risky, because if there's a wide-spread crisis that affects the banking sector, all components of the portfolio will tank at once, together....

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Mixed-Effects Models in R with Quantum Forest

October 26, 2011
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For anyone who wants to estimate linear or nonlinear mixed-effects models (aka random-effects models, hierarchical models or multilevel models) using the R language, the Quantum Forest blog has several recent posts that will be of interest. Written by Luis Apiolaza from the School of Forestry at the University of Canterbury in New Zealand, the blog includes a number of...

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"Anyone planning to work with Big Data ought to learn Hadoop and R"

October 25, 2011
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Dan Woods at Forbes interviewed LinkedIn's Daniel Tunkelang about the rise of data science and on building data science teams. When asked how students today should prepare themselves to be data scientists, Tunkelang gives some good advice: When we built the data science team at LinkedIn a few years ago, we looked for raw talent, assuming that smart people...

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