[R] R development master class: SF, June 8-9
Hadley Wickham
hadley at rice.edu
Thu May 12 23:43:14 CEST 2011
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 San Francisco on June
8-9. 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.
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 - there will be one assistant for every 10 attendees. 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/.
More information, including a complete session outline for the two
days is available at:
http://www.revolutionanalytics.com/products/training/public/r-development.php
Regards,
Hadley
PS. I'm also offering an internet version of the day one through
statistics.com -
http://www.statistics.com/courses/using-r/r-program-adv/
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
More information about the R-help
mailing list