Introduction:
R started out as a computational tool for the applied statistics community but has matured into a fully featured (interpreted) programming language for general scientific computing and graphing. We will use it for most of our computations in this course:


R Resources:

• R Project
• RStudio IDE
• Search CRAN

A brief workshop to get started with R:

• R Workshop

Handy R-programs and scripts for the course:

• File: install_from_github.R. Install handy R package of programs and utilities for the course. 
• Directory: script bucket. Script files from the lecture notes and workshop/tutorial labs.
  

Example data:

• Directory: data. Some data sets.