Thanks, Hadley, for all the hard work.
Quick question: what would you tell the Julia guys as a recommendation? Even though they are "competition", you probably have strong feelings about what features of R must be in any language that aims to replace.
I think that Hadley can gives a very sharp opinion about what is needed to transform julia in a better R, if that is possible. Julia is about speed and no so much to make a big community, people use R because there are a lot of packages and is easy to install and well supported. Python with pandas show that you cat catchup is you try. So the question is if julia will receive some strong support or will be always a second rank players, time will reveal.
All the prior tutorials and courses I've seen presume and utilize a background in the domain of statistics and a require a fairly strong one at that. I strongly believe R should be sprung free of that encumbrance so as to find a wider audience and this is a really good effort in that direction.
This book gives you the tools to compose your own data tools using the building blocks Hadley uses. That is a big deal. Everybody should buy 5 copies.
How is the book compared to the site?
YMMV, but I got much more from the book than from the site, and was also able to give hadley some money in the process, so its win-win :)
This has to be the effect of him doing live confresses and being a professor while also knowing the packages as only an author can.
It is also great how approachable Hadley is in the community. I still remember making a short tweet on dplyr and within 10 minutes he replied back to me and answered my questions.