| Title | Time | Room | Teacher |
|---|---|---|---|
| Introduction to R | 22.04.2024 16:00 - 18:00 (Mon) | online | Dr. John Pinney |
| Introduction to R | 23.04.2024 16:00 - 18:00 (Tue) | online | Dr. John Pinney |
| Introduction to R | 24.04.2024 16:00 - 18:00 (Wed) | online | Dr. John Pinney |
This course provides an introduction to R as a programming language. We will not look at data handling or statistical tests in detail, as these are beyond the scope of this introductory course.
The course will include a lot of hands-on practice using the RStudio environment.
Syllabus:
Basic calculations
- Data structures (vectors, matrices and data frames)
- Control structures (if, while and for)
- Functions
- Importing data
- Plotting charts
- Use RStudio to work with R notebooks.
- Apply fundamental components of the R language including variables, loops, conditionals, functions and data structures.
- Import data from a file to make simple plots.
- Create programs designed to solve simple problems
Microsoft Teams with live teaching and hands-on practice.
At the beginning of the doctorate | during the doctorate | at the end of the doctorate
No prior programming experience is required.
Laptop/tablet with stable internet connection, microphone, webcam and Microsoft Teams.
Please ensure that you have up-to-date versions of both R and RStudio installed and working before the course:
R and RStudio can also be installed via the Anaconda data science platform:
This course is offered in cooperation with Imperial College London. Please book your place through DocGS and not through the Imperial College London website.
Dr. John Pinney is Royal Society University Research Fellow in the Theoretical Systems Biology group at Imperial College London. More info here.