An Introduction to Solving Biological Problems with R
Mon 6 Jun - Tue 7 Jun 2016
Description
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.
Target audience
- 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
Prerequisites
- 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.
Sessions
Number of sessions: 2
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Mon 6 Jun 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | A.S.M.M. Hossain, Avazeh Ghanbarian |
| 2 | Tue 7 Jun 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Avazeh Ghanbarian, A.S.M.M. Hossain |
Objectives
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
Aims
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
Format
Presentations, demonstrations and practicals
Notes
Participants may find it useful to look over this R tutorial
Duration
2
Frequency
A number of times per year
Related courses
Theme
Basic Skills and Programming
Booking / availability