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Thu 17 Sep - Fri 18 Sep 2015
09:30 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building, Downing Site

Provided by: Bioinformatics


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An Introduction to Solving Biological Problems with R
BeginnersPrerequisitesUpdated

Thu 17 Sep - Fri 18 Sep 2015

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.

The course website providing links to the course materials is here.

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

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Further details regarding eligibility criteria are available here
  • Further details regarding the charging policy are available here
Prerequisites
  • 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
Sessions

Number of sessions: 2

# Date Time Venue Trainers
1 Thu 17 Sep 2015   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Suraj Menon,  Mark Dunning
2 Fri 18 Sep 2015   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Suraj Menon,  Mark Dunning
Topics covered (session 1)
  • R environment
  • Informal introduction to R basics
  • Introducing R data objects
  • Understanding data types
  • Reading and writing data tables
  • Manipulating data in R
  • Basic R graphics
  • High level plotting functions
Topics covered (session 2)
  • Customizing plotting functions
  • Starting out with statistical tests
  • Creating a reproducible report in R
  • Data analysis and R automation with examples
  • Advanced data analysis and integration of data from multiple sources
  • Loops and branching as useful data processing techniques
Aims

To enable bench scientists with no previous programming background to perform simple data manipulation and analysis tasks with R

Format

Presentations, demonstrations and practicals

Notes

Participants may find it useful to look over this R tutorial

Duration

2

Frequency

A number of times per year

Related courses
Theme
Core skills

Booking / availability