UC Davis R workshop, September 24-26, 2012

Update: This workshop is full, and registration is now closed. Please send me a message by selecting “Contact” above if you want to be added to the waiting list or to be notified of future workshops at UC Davis.

This three-day workshop is designed for individuals with little or no experience in R, as well as more experienced individuals. However, participants with no experience in data analysis or programming generally find the workshop challenging. Instruction, examples, and exercises will be used to teach participants how to use R for common data analysis and graphics tasks. Topics will include: R basics, working with data structures (vectors, data frames, arrays, lists), data import and export, basic and advanced data manipulation, classical statistical models, generalized linear models, and base and ggplot2 graphics. More details on workshop organization 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 Site for installation files (more detailed instructions will be sent out before the workshop as well). The workshop will start at 9:00 and end at 5:00. Bagels and coffee will be provided before the workshop at about 8:30, so feel free to show up early.

Reduced rates are available for graduate students or postdocs paying with personal funds. Just select the appropriate option below.

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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!