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In a webinar today previewing Spotfire 5 (scheduled for release this November), TIBCO announced that it will include TERR: The Tibco Enterprise Runtime for R. TERR is a closed-source reimplementation of the R language engine, and not based on the GPL-licensed R project from the R Foundation. Here's the relevant slide from the webinar:

If you're reporting on the results of a statistical analysis for a journal or report, you'll probably be building a table comparing two or models. Such tables may include variables in the model, parameter estimates, and p-values, and model summary statistics. If you want to include such tables based on lm, glm, svyglm, gee, gam, polr, survreg or coxph models in a LaTeX document, Marek Hlavac's stargazer package may save you some time.

You're probably familiar with the Game Of Life: create a grid sparsely populated with "cells"; apply a couple of simple rules (cells "die" if they have too few or too many neighbours; dead cells spring into life if they have exactly three); watch complex behaviour spontaneously emerge. This video explains the traditional Game of Life in more detail (watch to the end so see come interesting "creatures" that emerge from these simple rules).


At Tuesday's Bay Area R User Group meetup, nine speakers gave five-minute talks on various aspects of R. Revolution Analytics' Luba Gloukhov was one of the presenters, and also provides the summary of the talks below. Links to the slides are included where available for you to check out.

The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full September/October edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email.

I missed it when it was first published last month, but that doesn't make me any less honoured to be included in Techopedia's list of Big Data experts to follow on Twitter. I've been following pretty much every name on the list forever, and they've provided me with countless insights on data management, data distillation and of course data analysis and statistics. I recommend you do the same.

Data Scientist Drew Conway tackles the problem of deciding which programming languages are the most popular in an interesting way: by comparing the number of projects tagged in GitHub with each language, and the number of questions in StackOverflow about the language. The former is a measure of how often a language is used (though, mainly for open source projects); the latter is a measure of how many programmers are asking questions about it.

Here at Revolution Analytics, we're proud to have been a part of fostering local user groups for R users around the world. Last year we sponsored more than 40 groups, with representation from every continent around the world. And we're thrilled to see the continued growth in user groups: this time last year there about 50 R user groups; now, there's nearly 100.

In case you missed them, here are some articles from September of particular interest to R users.

You can now browse the R-devel sources and changelogs at GitHub.

R is used to create a 3-D animation of the Antarctic ice cap.