91ÌÒÉ«

Building on the material covered by Introduction to R, this workshop will introduce the tidyverse packages, which support advanced data processing and visualisation in R.

Syllabus:

• R as a data-handling environment
• The tidyverse packages
• Reading tabular data with readr
• Tidying data with tidyr
• Transforming data with dplyr
• Data visualisation with ggplot2
• Applying statistical tests to tabular data

This course is open to 91ÌÒÉ« Degree Students, Postdocs & 91ÌÒÉ« Fellows. Limited spaces available for wider 91ÌÒÉ« community.

Learning Outcomes:

After completing this workshop, you will be better able to:

• Use R to import and tidy tabular data.
• Combine data from multiple sources.
• Transform data to generate derived variables.
• Apply statistical tests to data in R.
• Create high-quality data visualisations.

Prerequisites:

Introduction to R or or equivalent prior learning

How to book

• Early Career 91ÌÒÉ«ers (91ÌÒÉ« Degree Students, Postdocs, 91ÌÒÉ« Fellows) should .
• Wider College Community - All other members of the 91ÌÒÉ« community, should .

Please ensure you have read and understood ECRI’s cancellation policy before booking.