## Introduction to R: A software environment for statistical computing

## Overview

R is a programming language and associated environment developed for statistical computing and data analysis. It provides many powerful tools for statistics, data visualisation and bioinformatics.

## Learning outcomes

- What R is suitable for.
- How to use R for simple statistical analysis and plotting.
- About the different data types and data structures in R.
- How to get help regarding commands and functions in R.
- How to read your own data into R and how to write out data in R to text files for importing to other programs.
- How to make several different kinds of plots in R and how to control their appearance.
- How to take advantage of pre-existing packages in R to facilitate complicated data analysis. Full course syllabus ------------
- Basic idea of how R works.
- Starting and quitting from R.
- Simple and complex data types in R. Objects.
- Getting help in R. Reading the documentation.
- Getting your data into and out of R.
- Basic plotting in R.
- Using packages in R.

** Scientific topics: **Software engineering, Statistics and probability

** Keywords: **John Innes Centre, JIC

** Target audience: **Any students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.

** Difficulty level: **Beginner

** Licence: **Other (Not Open)