skip to navigation skip to content
Thu 18 Feb - Fri 19 Feb 2016
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:


Tue 20 Feb 2018


[ Show past events ]



Register interest
Register your interest - if you cannot make any of the currently scheduled dates and would be interested in additional dates being scheduled.


Booking / availability

An Introduction to Solving Biological Problems with R

Thu 18 Feb - Fri 19 Feb 2016

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 programming experience is required, but those attending should be able to use a plain text editor.
  • A very basic knowledge of UNIX would be an advantage, but nothing will be assumed and extremely little will be required.
Sessions

Number of sessions: 2

# Date Time Venue Trainers
1 Thu 18 Feb 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Aiora Zabala,  Ines de Santiago
2 Fri 19 Feb 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Aiora Zabala,  Ines de Santiago
Objectives

After this course you should be able to:

  • Import data and plot graphs
  • Perform statistical tests in R and interpret the results
  • Create a documented and reproducible piece of R code to process biological data
  • Know how to develop your skills in R after the course
Aims

During this course you will learn about:

  • The RStudio interface to R
  • The many ways to access help about R
  • Basic object types in R
  • Importing tabular data into R
  • Manipulating data in R
  • Using in-built functions
  • Basic programming with if/else statements and for loops
  • Creating your own functions
  • Statistical testing in R
  • Executing basic data analysis workflows in R
  • Basic Plotting
  • Customizing plots
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