UM College Park R workshop, May 23 and 24 (Thursday and Friday), 2013
This two-day workshop is designed to introduce individuals with some experience in R to intermediate to advanced functions for working with data. Instruction, examples, and exercises will be used to teach participants how R can be used to manipulate data into the form needed for analysis and analyze it by developing an appropriate statistical model. Details on the topics that will be covered can be found in the topic outline for the workshop.
Workshop participants will be able to download a detailed electronic workbook before the workshop. This is a hands-on workshop, and participants should bring a laptop computer with R installed. See the Comprehensive R Archive Network Site for installation files (more detailed instructions will be sent out before the workshop as well). The workshop will take place from 9:00 to 5:00 each day, with a break for lunch around noon to 1:00.
The registration fee is $250. Payment can be made online by credit card, debit card, or PayPal account. If these payment options do not work for you, or if you have any other questions, send me a message through the “Contact” link at the top or bottom of the page.
R, a language and environment for statistical computing and graphics
If you are interested in data analysis and presentation, but are not familiar with R, read on.
Why use R?
- R can be used to carry out the same analyses that you might use SAS, Stat, or Matlab for now, as well as many other analyses.
- R is open source, and is continually evaluated by a large group of users, making it reliable.
- The R language is a well-developed and efficient programming language, making for consistent and simple code.
- R is flexible and extensible, and more than 3600 collections of specialized functions (packages) have been developed by users.
- The large online community of R users is very active, making it easy to get help with R code.
- R can be used to produce high-quality graphics in several different formats.
- R is free!