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Thu 10 Jan - Fri 11 Jan 2013
09:30 - 17:30

Venue: Department of Genetics, Room G12

Provided by: Graduate School of Life Sciences


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Bioinformatics: Introduction to R

Thu 10 Jan - Fri 11 Jan 2013


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. Further information is available.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Target audience
  • No prior knowledge of R, or of programming in general, will be assumed
  • Some familiarity with command line UNIX would be an advantage but not essential

Number of sessions: 2

# Date Time Venue Trainers
1 Thu 10 Jan 2013   09:30 - 17:30 09:30 - 17:30 Department of Genetics, Room G12 map Robert Foy,  Robert Stojnic,  Laurent Gatto
2 Fri 11 Jan 2013   09:30 - 17:30 09:30 - 17:30 Department of Genetics, Room G12 map Robert Foy,  Robert Stojnic,  Laurent Gatto
Topics covered (session 1)
  • R environment
  • Informal introduction to R basics
  • Introducing R data objects
  • Understanding data types
  • Manipulating data in R
  • Basic build-in function for data manipulation
  • Loops and branching as useful data handling technique
  • A guide to using R for everyday data analysis
  • Reading and writing data tables
  • Data manipulation
  • Starting out with statistical tests
Topics covered (session 2)
  • Data analysis and R automation with examples
  • Data analysis 'Stepwise'. Interactive R scripting
  • Structuring an R progam'
  • Functions as procedures
  • Functions with arguments
  • Advanced data analysis and integration
  • Basic R graphics
  • High level plotting functions
  • Customized plotting functions

To enable bench scientists with no previous programming background to perform simple statistical analyses with R


Presentations, demonstrations and practicals


Participants may find it useful to look over the R tutorial from the computational biology group, Department of Oncology




A number of times per year

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