# 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:

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

After completing this tutorial you will:

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

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

Ekaterina Oleinik, Shared Infrastructure - Scientific Programming & Applications

Tuesday, February 4, 2014 from 3:30 PM to 6:00 PM

Charles River Campus - MCS Information Services & Technology room B27 (111 Cummington Mall)