An Introduction to Solving Biological Problems with R
This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented.
The course website providing links to the course materials is here.
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
- Further details regarding eligibility criteria are available here
- Further details regarding the charging policy are available here
- No prior programming experience is required, but those attending should be able to use a plain text editor.
- A very basic knowledge of UNIX would be an advantage, but nothing will be assumed and extremely little will be required.
Number of sessions: 2
# | Date | Time | Venue | Trainers | |
---|---|---|---|---|---|
1 | Thu 18 Feb 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Aiora Zabala, Ines de Santiago |
2 | Fri 19 Feb 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Aiora Zabala, Ines de Santiago |
After this course you should be able to:
- Import data and plot graphs
- Perform statistical tests in R and interpret the results
- Create a documented and reproducible piece of R code to process biological data
- Know how to develop your skills in R after the course
During this course you will learn about:
- The RStudio interface to R
- The many ways to access help about R
- Basic object types in R
- Importing tabular data into R
- Manipulating data in R
- Using in-built functions
- Basic programming with if/else statements and for loops
- Creating your own functions
- Statistical testing in R
- Executing basic data analysis workflows in R
- Basic Plotting
- Customizing plots
Presentations, demonstrations and practicals
Participants may find it useful to look over this R tutorial
2
A number of times per year
Booking / availability