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Tue 26 Apr 2016
09:30 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building

Provided by: Bioinformatics


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Statistical Analysis using R

Tue 26 Apr 2016


Statistics are an important part of most modern studies and being able to effectively use a statistical package will help you to understand your results.

This course provides an introduction to some statistical techniques through the use of the R language. Topics covered include: Chi2 and Fisher tests, descriptive statistics, t-test, analysis of variance and regression.

Students will run analyses using statistical and graphical skills taught during the session.

The course manual can be found here.

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
  • 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

Familiarity with the R language is essential. We recommend attending the An Introduction to Solving Biological Problems with R course prior to attending this course.


Number of sessions: 1

# Date Time Venue Trainers
1 Tue 26 Apr 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map Anne Segonds-Pichon ,  Simon Andrews

After this course you should be able to:

  • Discuss basic principles of experimental design and power analysis
  • Understand concepts as descriptive parameters such as mean, variance, standard deviation and hypothesis testing
  • Use R to apply classical statistical techniques on quantitative and qualitative data

The aim of this course is to (re)familiarise students with classical statistical techniques using a free increasingly popular package like R.


Presentations, demonstrations and practicals




A number of times per year

Related courses
Basic Skills and Programming

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