Hi all, I hope you don't mind the slightly off topic email, but I'm going to be teaching an R development master class in New York City on Dec 12-13. The basic idea of the class is to help you write better code, focused on the mantra of "do not repeat yourself". In day one you will learn powerful new tools of abstraction, allowing you to solve a wider range of problems with fewer lines of code. Day two will teach you how to make packages, the fundamental unit of code distribution in R, allowing others to save time by allowing them to use your code.
To get the most out of this course, you should have some experience programming in R already: you should be familiar with writing functions, and the basic data structures of R: vectors, matrices, arrays, lists and data frames. You will find the course particularly useful if you're an experienced R user looking to take the next step, or if you're moving to R from other programming languages and you want to quickly get up to speed with R's unique features. A couple session outline is available at http://www.eventbrite.com/event/2492641558 Both days will incorporate a mix of lectures and hands-on learning. Expect to learn about a topic and then immediately put it into practice with a small example. Plenty of help will be available if you get stuck. You'll receive a printed copy of all slides, as well as electronic access to the slides, code and data. The material covered in the course is currently being turned into a book. You can access the current draft at https://github.com/hadley/devtools/wiki/. Limited discounts for students (66% off) and academics (33% off) are available - please contact me for details. Find out more and sign up at http://www.eventbrite.com/event/2492641558 Regards, Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
