The R Seminar is an informal lecture series at UC Irvine that will discuss the use of the R system for statistical computing. 

The talks are aimed at those interested in R and those who want to expand their "R-epertoire".  This likely includes grad students who use R in their classes and/or research, computer scientists who would like to check out what R is all about, and professors of quantitative classes.

Each "semina-R" will be roughly 30 minutes followed by discussion.  They will be held on Wednesdays at 12pm in Bren Hall, Room 2011, at UC Irvine.  See the calendar for specific dates.   Please check the Announcements page for updates, or subscribe to changes via this RSS feed.

We are still looking for volunteers who might be willing to share their expertise/experience on any of the following topics.  Or, if you're interested in a particular topic, please feel free to research it and present what you learned!

Proposed Seminar Topics

• R programming from the computer science perspective
• Why R?
• Brief review of functional programming
  
• Scoping rules
• Data structures
• Debugging R
• Debug, browser, and traceback
• Ra and just-in-time compilation
• Using warnings, etc. in your code
  
• R and Sweave (Presented by Vinh Nguyen)
  
• The case for repeatable science
• Brief review of Latex
  
• Figures and tables
  
• Running R processes on servers
  
• Batch scripts
• Running R on clusters with Snowball
• Rscript
• Working with optim()
  
• Working with sparse matrices with the Matrix() package
• Vectorizing your code: Case study with performing simulations
  
• Rpy: Connecting R with Python
• Exploratory Data Analysis with R
• Network data with network and sna packages
  
• ggplot2 package
• Multivariate data analysis with lattice
• R and Databases: sqlite
• Creating R Packages
• Tips and tricks
  
• Creating documentation
  
• Automated web data collection with R
  
• The Case for Teaching with R
  
• Open Source
  
• Handy datasets
• Easy package installation framework
• Emacs and ESS and R: Adapting a text-editing platform to become an R super user
• R and *nix: A few tools to streamline R projects
• make
• screen
• mail
• Visualization
• Latex fonts on figure titles

• Connecting R and C (Presented by Michael Zeller)
  
• Profiling R code
• Writing C functions that work with R data structures
  
• C programming for R users (Presented by Darren Strash)
• Social networking (To be presented by Lorien Jasny)
• statnet for social network analysis.
  

Each seminar would hopefully include the following:

• Brief instruction on how to obtain/install the software under discussion.
• Motivating examples.
• Quick walkthrough/tutorial.
  
• Tips and tricks.

Please email us with any questions or suggestions.  duboisc [at symbol] ics [dot] uci [dot] edu