# A competition to recommend “relevant” R packages – and the future of R

### A tiny bit more on R bloggers virality

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/> Since I started getting involved in the
href="http://www.r-bloggers.com/">R bloggers community, I can recall two major discussion that have attracted more then two bloggers writing about them.

The first one was people in the R community arguing against Dr. AnnMaria De Mars post “The Next Big Thing”, where she wrote that “R is an epic fail.” (my response to it then was the post “
href="http://www.r-statistics.com/2010/04/r-the-next-big-thing-and-statistics-in-the-cloud/">“The next big thing”, R, and Statistics in the cloud“)

/> The second one was tackling the question “Is R “that bad” that it should be rewritten from scratch?”. Many responses went to the post by Ross Ihaka who was arguing for the need to rewrite R from scratch (a very wide spectrum of replies to that can be viewed on the
href="http://stackoverflow.com/questions/3706990/is-r-that-bad-that-it-should-be-rewritten-from-scratch">stackoverflow discussion I started on the topic.)

And in the past few days I noticed a
href="http://blog.revolutionanalytics.com/2010/10/kaggle-competition.html">starting
href="http://www.drewconway.com/zia/?p=2415"> of a
href="http://www.stat.columbia.edu/~cook/movabletype/archives/2010/10/contest_for_dev.html">cascade
href="http://www.johnmyleswhite.com/notebook/2010/10/07/build-a-recommendation-system-for-r-packages/">of posts, all promoting the post at “
href="http://www.dataists.com/2010/10/using-data-tools-to-find-data-tools-the-yo-dawg-of-data-hacking/">dataists“.

This leads me to three simple statements:

/> 1) I think it is beautiful that the R community has advocates that defend R’s role in the future of statistics

/> 2) I think it is important that the R community has so many (smart) people (beyond the amazing R core team) who reflects on how R is doing, and of the challenges that the R language and environment will face in the future.

/> 3) I think it is a fascinating thing that the R community is a community of researchers who have the skills to research themselves. Each community of a discipline can use it’s skill on itself – psychologists may psychoanalyze themselves, WordPress bloggers may write about WordPress, and R users can plan studies and analyse data about themselves – this potential is only beginning to be untapped – and I am excited to see where it might lead in the years to come.

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**Tags:** future, packages, R, R community, R future, the future of R