Bioinformatics: Introduction to R Beginners
Mon 5 Dec - Tue 6 Dec 2011
Description
An introduction to using R statistical software packages. Emphasis will be on R basics, from learning about the environment and in-built functions, to the use of R packages for tackling everyday analysis problems. A variety of examples with a biological theme will be presented. No prior R knowledge or programming skills will be assumed, although a familiarity with Unix style command line would be an advantage but not essential.
Target audience
- Postgraduates
- Researchers
- Further details regarding Graduate School of Life Sciences' eligibility criteria are available
Sessions
Number of sessions: 2
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Mon 5 Dec 2011 09:30 - 17:30 | 09:30 - 17:30 | Department of Genetics, Room G12 | map | David Judge |
| 2 | Tue 6 Dec 2011 09:30 - 17:30 | 09:30 - 17:30 | Department of Genetics, Room G12 | map | David Judge |
Topics covered (session 1)
- R environment
- Informal introduction to R basics
- Introducing R data objects
- Understanding data types
- Manipulating data in R
- Basic build-in function for data manipulation
- Loops and branching as useful data handling technique
- A guide to using R for everyday data analysis
- Reading and writing data tables
- Data manipulation
- Starting out with statistical tests
Topics covered (session 2)
- Data analysis and R automation with examples
- Data analysis 'Stepwise'. Interactive R scripting
- Structuring an 'R progam'
- Functions as procedures
- Functions with arguments
- Advanced data analysis and integration
- Basic R graphics
- High level plotting functions
- Customized plotting functions
Format
Presentations and practicals
Notes
Participants may find it useful to look over the R tutorial from computational biology group, Department of Oncology
Duration
2
Frequency
A number of times per year
Booking / availability