An Introduction to Solving Biological Problems with R
Thu 1 Sep - Fri 2 Sep 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
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 | Thu 1 Sep 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Mark Dunning, Cristian Riccio |
| 2 | Fri 2 Sep 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Mark Dunning, Cristian Riccio |
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
Registration fees
- 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
- £ 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
Timetable
| Day 1 | |
| 9:30 - 11:00 | Introduction to R and its environment |
| 11:00 - 12:30 | Data Structures |
| 12:30 - 13:30 | Lunch |
| 13:30 - 15:00 | Data Analysis Example |
| 15:00 - 17:30 | Plotting in R |
| Day 2 | |
| 9:30 - 11:00 | Further customisation of plots |
| 11:00 - 12:30 | Statistics |
| 12:30 - 13:30 | Lunch |
| 13:30 - 15:30 | Data Manipulation Techniques |
| 15:30 - 17:00 | Programming in R |
| 17:00 - 17:30 | Further report writing |
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