Introduction to Linear Modelling with R (Online)
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.
The course will cover ANOVA, linear regression and some extensions. It will be a mixture of lectures and hands-on time using RStudio to analyse data.
This event is part of a series of training courses organized in collaboration with the Bioinformatics Core Facility at CRUK Cambridge Institute.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking here.
- Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- Please be aware that these courses are only free for registered University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.
- Further details regarding eligibility criteria are available here
This course assumes basic knowledge of statistics and use of R, which would be obtained from our Introductory Statistics Course and an Introduction to R for Biologists run at the Genetics department (or equivalent).
Number of sessions: 1
# | Date | Time | Venue | Trainers |
---|---|---|---|---|
1 | Fri 14 May 2021 09:30 - 17:15 | 09:30 - 17:15 | Bioinformatics Training Facility - Online LIVE Training | Dominique-Laurent Couturier, Robert Nicholls, Mark Fernandes |
Bioinformatics
After this course you should be able to:
- Realise the connection between t-tests, ANOVA and linear regression
- Fit a linear regression
- Check if the assumptions of linear regression are met by the data and what to do if they are not
- Know when linear regression is not appropriate and have an idea of which alternative method might be appropriate
- Know when you need to seek help with analysis as the data structure is too complex for the methods taught
During this course you will learn about:
- ANOVA
- Simple and multiple regression
- Introduction to more advanced topics, like Generalised Linear Models and Time Series.
Presentations and practicals
This is subject to change in line with the online training schedule.
Topics | ||
09:30 - 10:15 | Welcome | |
09:30 - 10:15 | Introduction to RStudio and Markdown | |
10:15 - 11:30 | ANOVA | |
11:30 - 13:00 | Simple regression model | |
13:00 - 14:00 | Lunch (not provided) | |
14:00 - 15:15 | Multiple regression | |
15:15-16:30 | Generalised Linear Models | |
16:30-17:15 | Time series | |
17:15-17:30 | Conclusion |
- Free for registered University of Cambridge students
- £ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
- It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
- £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
- £ 100/day for all Industry participants. These charges must be paid at registration
- Further details regarding the charging policy are available here
1
once a year
Booking / availability