University of Plymouth: Introduction to R

R is a free software environment for statistical computing and graphics, which can be easily downloaded from the web. It is now widely used for all types of statistical applications, from official and social statistics to modern methods for computationally based inference.

Intended learning outcomes:
After this short course the participant will have a basic knowledge of R. In particular, the following topics will be covered (some in limited detail):

• using an editor
• arithmetic
• data in R
• R Objects
• summary statistics
• graphics including ggplot2
• linear models and correlation
• treading in data from files
• data manipulation using dplyr.

The advanced workshop, which builds on the material presented in the Introduction to R course, covers (again in limited detail):

• the general and generalised linear models
• data manipulation using dplyr
• data visualization using ggplot2
• Bayesian statistical inference including hierarchical models
• R Markdown
• function writing.

Facilitator: Matthew Craven
Applicability: Suitable for most research students and research staff.

Bookings and enquiries: researchskills@plymouth.ac.uk