1x 1 hour lab each week.
RMS is a very large class, so we will be running multiple labs each week. Please sign up to one of these and attend this same session each week. If you have not done so already, please sign up to a lab session via LEARN.
Lab sessions will provide the primary practical skill sets for working with data and completing statistical analysis in R. These are skills that require practice. So please do your best to attend all labs, and to work through all material that you dont finish in lab in your independent study time. As always, and issues, ask questions in labs, and come and see us in office hours.
In addition to the one hour lab session, you will also be asked to complete a problem set and a R tutorial (SWIRL) in your independent study time. These provide more structured practice for the key skills we seek to develop in the course, and so again, please do your best to work through them all. See the course Study Guide on LEARN for suggestions on time planning.
The weekly problem sets act as a bridge from the more theory based lecture content, to the more practical labs. Dependent on the topic for the week, problem sets will contain a mix of introductory R material, hand-calculated problems (like those done on the board in lectures and like those which will appear in your exam), results interpretation and guidance on writing up results. Understanding and conducting statistical analyses takes practice, and the problem sets form a core part of guided practice on this course.
SWIRL is a package which is run through R and provides interactive tutorials. In this course we will make use of SWIRL to introduce students to the concepts they will work with in the labs. The SWIRL sessions are designed to be completed before the lab sessions they are assigned to. SWIRL has a number of advantages to simply setting reading to prepare.
- Firstly, it is interactive and so you will get to actually practice what is required, rather than simply read about it.
- Second, the SWIRL tutorials provide a step by step guide which you can return to. If you forget how to do something in R, then go back and re-do the SWIRL tutorial to remind yourself.
- Third, they are interactive, and so you can not be a passive learner.
You will be introduced to SWIRL and how to use it in the first couple of lab sessions. If you would like to read ahead on how to use SWIRL, you can do so here.
Problem Set and Lab topics will follow the content of lectures. See the Lectures section in this handbook and the Course Details page on LEARN.