Introduction to R (Hands-on)

R is the most powerful, rapidly developing, highly reliable, open source
statistical language. It is widely used among statisticians for the development of statistical software and for data analysis. New features appear every few months.

This tutorial introduces the R environment for statistical computing and will cover the following topics:  

   o atomic types, variable rules and built-in constants
   o scalar and vector function overview
   o working with data (workspace setup as well as reading, creating, exploring, and saving data)
   o working with R data types (vectors, matrices, lists, data frames)
   o working with script files
   o installing and loading R extension packages and getting help
   o overview of functions for data analysis

After completing this tutorial you will:

   o know the basics of the R environment.
   o get a solid understanding of various data types and objects used in R.
   o be able to create, load and analyze data.
   o find appropriate functions and get necessary help and examples for these functions.

This tutorial is offered twice, once on the Charles River Campus and once on the BU Medical Campus. You can attend either session.

If you try to sign up for this tutorial and find that it is full, please send email to scv-tutorial@bu.edu and we will do our best to accommodate you.

Katia Oleinik, IS&T Scientific Computing & Visualization
Wednesday, October 10, 2012 from 10:00 AM to 12:00 PM
Charles River Campus - MCS Information Services & Technology room B27 (111 Cummington Mall)