Data Analysis and Visualisation in R

PrerequisitesNew

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.

• 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
• Further details regarding the charging policy are available here

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.

Number of sessions: 1

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

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

Presentations, demonstrations and practicals

1

A number of times per year

• An Introduction to Solving Biological Problems with R
• Statistical Analysis using R
• R object-oriented programming and package development