This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

A familiarity with command-line interfaces will be helpful, but is not required

• Upload and process data in R to generate plots, figures and tables
• Create and run functions in R
• Write your own R script for automated data processing
• Create automated reproducible reports in R
• Install and load external R packages and manage R projects