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by Andrie de Vries

My experience of UseR!2015 drew to an end shortly after I gave a Kaleidoscope presentation discussing "The Network Structure of CRAN".

In case you missed the news last week, the R Consortium was announced. This new non-profit trade group will work with the R Foundation to support the R Community and the R Project generally.

As you might expect, the announcement generated quite a bit of news in the press. Here are links to some of the coverage:

Here's a quick quiz: what rule is behind the number sequence: 2, 4, 8? This New York Times interactive lets you try to solve the puzzle yourself, and you can also see members of the public try to solve the problem in the Veritasium video below.

If you want to see what the answer is, proceed below the fold...

The latest worldwide R user conference has just wrapped up in Aalborg, Denmark and useR! 2015 was the best yet. A hearty round of applause to the organizers for a smoothly run, informative and fun event. To the organizers of next year's event in the Stanford, California: the bar has been raised.

by Joseph Rickert

 

Last week, I was fortunate enough to attend the R Summit & Workshop, an invitation only event, held at the Copenhagen Business School. The abstracts for the public talks presented are online and well worth a look. Collectively they provide a snapshot of the state of development of R and the R Community as well some insight into the directions in which researchers are moving to expand the boundaries of R.

 

by Andrie de Vries

Today is the first day of UseR!2015 conference in Aalborg in Northern Denmark.  But yesterday was a day packed with 16 tutorials on a range of interesting topics.  I submitted a proposal many months ago to run a session on using R in Hadoop and was very happy to selected to run a session in the morning.

The R community has grown explosively over the past few years, both in terms of the number of R users and the number of companies who rely on R as their data science platform.

Mixed models (which include random effects, essentially parameters drawn from a random distribution) are tricky beasts. Throw non-Normal distributions into the mix for Generalized Linear Mixed Models (GLMMs), or go non-linear, and things get trickier still. It was a new field of Statistics when I was working on the Oswald package for S-PLUS, and even 20 years later some major questions have yet to be fully answered (like, how do you calculate the degrees of freedom for a significance test?).