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Tue 27 Sep 2016
09:30 - 17:30

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

Provided by: Bioinformatics


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Data Analysis and Visualisation in R
PrerequisitesNew

Tue 27 Sep 2016

Description

This course introduces some relatively new additions to the R programming language: dplyr and ggplot2. In combination these R packages provide a powerful toolkit to make the process of manipulating and visualising data easy and intuitive.

Materials for this course 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
  • Existing R users who are not familiar with dplyr and ggplot2
  • Those with programming experience in other languages that want to know what R can offer them
  • 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
Prerequisites

Attending the Introduction to Solving Biological Problems using R course would be beneficial, but not essential. We will assume that you know how to load RStudio, create variables and use functions. Some good introductory videos can be found here.

Sessions

Number of sessions: 1

# Date Time Venue Trainers
1 Tue 27 Sep 2016   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Mark Dunning,  Matthew Eldridge,  Michael Schubert
Objectives

After this course you should be able to:

  • Create reproducible documents
  • Import and tidy and datasets into R
  • Use dplyr to explore a dataset interactively
  • Produce simple analysis workflows in R
  • Make publication-ready graphics using ggplot2
Aims

During this course you will learn about:

  • How R enables reproducible research
  • What constitues a tidy dataset
  • "Piping" commands together to form a workflow
  • Subseting and filtering datasets using dplyr
  • Producing summary statistics from a dataset
  • Joining datasets using dplyr
  • The grammar of graphics approach to plotting used in ggplot2
Format

Presentations, demonstrations and practicals

Registration fees
  • Free for University of Cambridge students
  • £ 50/day for all University of Cambridge staff, including postdocs, and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
  • £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
  • £ 100/day for all Industry participants. These charges must be paid at registration
  • Further details regarding the charging policy are available here
Duration

1

Frequency

A number of times per year

Related courses
Theme
Core skills

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