Statistical Modelling with R

From the very beginning, R was designed for statistical modelling. Out of the box, R makes standard statistical techniques easy. This course covers the fundamental modelling techniques. We begin the day by revising hypotheses tests, before moving onto ANOVA tables and regression analysis. The class ends by looking at more sophisticated methods such as clustering and principal components analysis (PCA).

This is an online course and will take place, from 13:30 - 17:00 (UK time), on the 9 & 10 Mar 2026. The closing date for enrollment is 2 Mar 2026.

Learning outcomes

By the end of the course, participants will…

• have a thorough understanding of popular statistical techniques.
• have the skills to make appropriate assumptions about the structure of the data and check the validity of these assumptions in R.
• be able to fit simple and multiple regression models in R.
• understand how to apply said techniques to their own data using R’s common interface to statistical functions.
• be able to cluster data using standard clustering techniques.

Prior knowledge

It will be assumed that participants are familiar with R. For example, inputting data, basic visualisation and data frames. Attending the Introduction to R course will provide sufficient background. This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e., anyone who uses a spreadsheet!

How to sign up

Please register. You will be invoiced by our team and receive the Zoom invitation and pre-course information by email.

If you have any questions at all, please don't hesitate to reach out to us at training@jumpingrivers.com.