An Introduction to Solving Biological Problems with R BeginnersPrerequisites
Thu 20 Aug - Fri 21 Aug 2015
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. Further information is available here.
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 knowledge of R, or of programming in general, will be assumed
- Some familiarity with command line UNIX would be an advantage but not essential
Sessions
Number of sessions: 2
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Thu 20 Aug 2015 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Suraj Menon, Silvia Helena Lucato Hadeler |
| 2 | Fri 21 Aug 2015 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Suraj Menon, Silvia Helena Lucato Hadeler |
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
Aims
To enable bench scientists with no previous programming background to perform simple statistical analyses with R
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
- R object-oriented programming and package development
- Analysis of high-throughput sequencing data with Bioconductor
Theme
Basic Skills and Programming
Booking / availability