*An introduction to R for non-programmers using gapminder data*

The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages.

Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.

A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.

Yuo can find the two days long version of this course at http://swcarpentry.github.io/r-novice-gapminder/.

## Prerequisites

- Understand that computers store data and instructions (programs, scripts etc.) in files.
- Files are organised in directories (folders).
- Know how to access files not in the working directory by specifying the path.