• Identify the software requirements for the course

• Verify that you have the software installed and working

• It’s FREE!

• Enormous developer & support communities

• Learn more here

• Most of R’s current capabilities come from packages

• We will use several different packages for fitting statistical models (eg, nlme, lme4)

• Syntax highlighting, code completion, smart indentation
  
• Easily manage multiple working directories using projects
  
• Interactive debugger to diagnose and fix errors quickly
  
• Extensive package development tools
  
• Built-in tools & GUIs for git & Markdown

Cheat sheets

Webinars, links, etc

Notebook interface to weave together text, equations, and code into nicely formatted output

Allows you to create and document fully reproducible workflows

Ideal framework for homework assignments!

Supports dozens of static and dynamic output formats

• HTML
  
• PDF
  
• MS Word
  
• HTML5 slides
  
• Books
  
• Shiny apps
  
• Scientific articles
  
• websites

Gallery here

• Store & manage their code

• Track & control changes to their code

• Communicate with other members

Its central focus is version control via git

but that’s not our focus in this course