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Google has just released a new package for R: CausalImpact. Amongst many other things, this package allows Google to resolve the classical conundrum: how can we asses the impact of an intervention (for example, the effect of an advertising campaign on website clicks) when we can't know what would have happened if we hadn't run the campaign?

by Joseph Rickert

The days are getting shorter here in California and the summer R conferences UseR!2014 and JSM are behind us, but there are still some very fine conferences for R users to look forward to before the year ends. 

DataScience.LA has posted a great recap of the latest LA R meetup, which in turn was a recap of presentations from the useR! 2014 conference. Follow that link to review slides from the event, whith summaries of useR!

by Seth Mottaghinejad

Let's review the Collatz conjecture, which says that given a positive integer n, the following recursive algorithm will always terminate:

If you've ever needed to create a document — Word, PDF, HTML or even slides — that combines text with R output, graphics or code, you should check out R Markdown (from the good folks at RStudio). From just one file, you can easily create output like this (from the Tufte Handout template):

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

R is the most popular software in the KDNuggets poll for the 4th year running.

No doubt you've heard about the "Ice Bucket Challenge" to support research into ALS. And no wonder: the meme spread like wildfire, and soon filled our Facebook feeds and Twitter timelines. You can see the spread in the graphic below, showing the locations of tweets tagged #IceBucketChallenge in early August. Check out the sudden explosion of activity around August 19:

As more companies explore the benefits that Hadoop may provide, the opportunities to better understand the technology are myriad and unequal. As a provider of in-Hadoop analytics, Revolution Analytics is participating in the coming Hortonworks seminar series. We will be on site to discuss how to deploy R-based analytics within Hadoop clusters using Revolution R Enterprise. The seminar series itself will host a number of different speakers to provide the attendees with the chance to:

by Don Boyd, Senior Fellow, Rockefeller Institute of Government

The Rockefeller Institute of Government is excited to be developing models to simulate the finances of public pension funds, using R.