CRUK: Introduction to Linear Modelling with R

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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.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

• Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
• 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 Introduction to Statistical Analysis and an Introduction to Solving Biological Problems with R run at the Genetics department (or equivalent).

Here is an R crash course that we suggest looking through before attending this course.

Number of sessions: 1

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
• Generalised Linear Models
• Introduction to more advanced topics, like non-linear models and time series.

Presentations and practicals

• Free for University of Cambridge students
• £ 50/day for all University of Cambridge staff, including postdocs, 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 day

Several times a year

• An Introduction to Solving Biological Problems with R
• CRUK: Data Carpentry in R

• Basic Skills and Programming
• Bioinformatics
• Specialised Research Topics