# A Quick Introduction to R

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# Getting familiar with R

This course provides a quick introduction to R for those who are interested in exploring its capabilities before committing to a longer course.

Next session: November 2019

## Instructors

- Burkhard Steuernagel
- Matthew Hartley

## Audience

All Staff and Students
## Overview

R is a software environment for statistical computing and graphics. For biologists, R is an excellent tool for data analysis providing a great range of statistical techniques and graph plotting capabilities. The statistics course will make use of R. This course will give a gentle introduction for people without prior knowledge.

## Schedule

Day1

10:00 | Start |

11:00 | Coffee break |

13:00 | End |

## Learning outcomes

By the end of the course you should be able to:

- How to use R studio
- How to find online help for R
- Quickly loading, exploring and plotting tabular data
- About basic data structures in R (Vector, Matrix, Data Frame)
- How to create simple figures with R

## Pre-requisites

None

## Full course syllabus

- Basic introduction to R
- What is R
- R Studio
- Data types
- Vectors
- Matrices
- Data Frames
- Useful functions
- Reading and writing files
- The plot function in R

## Course materials

Course book