##
Course Description

This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented.

##
Course Materials

###
Data Files

The data and R scripts used in the course can be found in this zip file

### Day 1

Introduction (html)

Data Structures (html)

Analysis Walkthrough (html)

Introduction to Plotting (html)

### Day 2

Further Plotting (html)

Statistics (html)

Data Manipulation (html)

Programming (html)

Wrap-Up (html)

###
Archive

An older version of the course materials run prior to the 17th of September 2015 can be found here

##
Topics Covered

###
Day 1

- R environment
- Informal introduction to R basics
- Introducing R data objects
- Understanding data types
- Manipulating data in R
- Basic build-in functions for data manipulation
- Reading and writing data tables
- Basic R graphics

###
Day 2

- Customized plotting functions
- Starting out with statistical tests
- A guide to using R for everyday data analysis
- Data manipulation
- Advanced data analysis and integration
- Data analysis and R automation with examples
- Creating and editing reproducible reports

##
How to Book

This course is run regularly at the University of Cambridge through the Bioinformatics Training Facility. Scheduled course dates and booking information can be found at the following link:

http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-rintro

##
Useful Resources