skip to navigation skip to content
Thu 20 Aug - Fri 21 Aug 2015
09:30 - 17:30

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

Provided by: Bioinformatics


Booking

Bookings cannot be made on this event (Event is completed).


Other dates:

No more events

[ Show past events ]



Register interest
Register your interest - if you would be interested in additional dates being scheduled.


Booking / availability

An Introduction to Solving Biological Problems with R
BeginnersPrerequisites

Thu 20 Aug - Fri 21 Aug 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. Further information is available here.

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 20 Aug 2015   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Suraj Menon,  Silvia Hadeler
2 Fri 21 Aug 2015   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Suraj Menon,  Silvia Hadeler
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
Aims

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