So, WordPress doesn’t like RweaveHTML, so this is posted at http://strugglingthroughproblems.blogspot.com/2011/04/inside-functors.html

R news and tutorials contributed by (552) R bloggers

We've just released the latest update to Revolution R Enterprise, version 4.3. This release includes version 2.12.2 of the open-source R engine linked with high-performance libraries, and packages it with additional functionality from Revolution Analytics for big data statistics, web services deployment, a Windows UI for R programming and debugging, and much more. Detailed information about the new release...

The latest release of Revolution R Enterprise shows how Revolution Analytics’ package for big data, RevoScaleR, is continuing add new capabilities for Big Data statistics. RevoScaleR removes the limits on the size of the data that can be processed in R through the use of the highly efficient .Xdf binary file format. Xdf stores data by rows within columns...

Here is an email that could appeal to some readers: Job in Cambridge MRC-BSU – Bayesian statistician Career development fellow MRC Biostatistics Unit, Cambridge We are offering an exciting opportunity to work on Bayesian models for infectious disease dynamics. A statistician is required to contribute to a programme of research to develop inferential approaches to

I am currently writing a brief “how-to” for the APSA Section on Experimental Research newsletter on using Optmatch and RItools. The complete paper (a work in progress) can be found on my github page. I have the basics of the paper sketched in, but I would love to get feedback from the online R community,...

The blog Milktrader has been on a roll recently with a series of posts with practical examples of quantitative in finance, from backtesting to automated trading, and option pricing to data acquisition. The latest post focuses on calculating returns, with an example of downloading data for a silver ETF and calculating daily returns with the dailyReturn function in the...

Last year I showed you how to create manhattan plots, and later how to highlight regions of interest, using ggplot2 in R. The code was slow, required a lot of memory, and was difficult to maintain and modify.I finally found time to rewrite the code u...

Thanks to gappy3000 I optimized my code in few several ways. The original script lasted ~30 minutes thanks to using pure vectors instead of zoo objects. First of all I changed all lm functions for lm.fit functions. Although lm.fit function cannot handl...

Well I totally botched my launch last week. Thankfully, my wife straightened me out: I decided to change the name of Rack to Rook so there won’t be any future confusion. And instead of rewriting all my posts last week, just read them again and every...

John Fox will be teaching a two-day introductory R workshop at McMaster University in Hamilton, Ontario, on May 24 and 25. The workshop will largely be based on materials from Fox and Weisberg, An R Companion to Applied Regression, Second Edition (Sage, 2011). Further information about the workshop is available at: https://www.socialsciences.mcmaster.ca/registrations/john-fox-introduction-to-r/fg_base_view_p3. A few spaces in the workshop are reserved for non-McMaster attendees and made...

So I previously took a look at some data of player performance from a computer game. In this post, I’m going to do some further visualisations using ggplot2. The data consists of different types of player character, different roles for those characters, and their overall damage output (the unit here is damage per second, or