Introduction to R

A software environment for statistical computing


R is a free software environment for statistical computing and graphics. It is widely used in scientific data analysis. R is a great tool for biologists, since it provides cutting edge statisical techniques, excellent graph and figure plotting capabilities and bioinformatics tools all in one package.

Next session: November 2017

Instructors

  • Govind Chandra

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. It should be seen as a prerequisite for the Introduction to Statistics course which will be based on R

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.

Schedule

Day 1
9:30 Start
11:00 Coffee break
12:30 Lunch
15:00 Coffee break
17:00 End
Day 2
9:30 Start
11:00 Coffee break
12:30 Lunch
15:00 Coffee break
17:00 End

Learning outcomes

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

Pre-requisites

It will help if you have already attended the Introduction to the HPC and the Introduction to Linux courses. These are however, not essential requirements but you are encouraged to attend these in the future if you have not done so because they provide complementary skills resulting in independent data analysis capability.

Full course syllabus

Course materials

Course book