So 2019 was … big. And I didn’t touch the blog all year. But that didn’t mean there was no open source happening. I was the program chair of the ROpenSci OzUnconference. I did blog about what an amazing team we had and the extraordinary projects we put together. You can read about that on the rOpenSci blog in detail. And when I said it was a tough time for Australia back in December … hoo boy did I have no clue.
Another of my beloved projects that got very little attention last year. Are new years’ resolutions in late May allowed? The Bayesian and the Frequentist is the brainchild of John Ormerod, Associate Professor of Stats @ University of Sydney and myself. What happens when you put together a corporate data scientist and an academic statistician. We’re not really sure what to call it. But it’s definitely something I’m going to get back into this year.
Introduction R is a growing, vibrant programming language. Originally created by Ihaka and Gentleman in the 1990s, what was a niche experimental language is now in mainstream usage across many disciplines and domains (Ihaka, 1998). One thing that Ihaka and Gentleman may not have intended at the time was the fact that R is no longer just a programming language. Users of R are developing into a distinct programming subculture at the intersection of multiple domains.