- Sheffield - 7th December 2017
- 09:30am - 5pm
- Pam Liversidge Design Studio 1 - D06
R is a highly-regarded, free, software environment for statistical analysis, with many useful features that promote and facilitate reproducible research.
In this course, we give an introduction to the R environment and explain how it can be used to import, manipulate and analyse tabular data. We will also introduce the Bioconductor project, and how it can enable the analysis of complex biological datasets.
After the course you should feel confident to start exploring your own dataset using the materials and references provided.
Who should attend this course?
Researchers in life sciences who want to get started using R for their data analysis
Aims:- After this course you should be able to:
- Import data and plot graphs
- Create a documented and reproducible piece of R code
- Know how to develop your skills in R after the course
- Interrogate and visualise data with Bioconductor packages
Objectives:- 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 Plotting
- Customizing plots
- Creating reproducible reports in R
- Plotting high-throughput biological data with Bioconductor
- 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.
You will need to bring an internet-enabled laptop to the course and install the latest versions of both R and RStudio before coming to the course
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select “Run as administrator” instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run
sudo apt-get install r-base and for Fedora run
sudo yum install R). Also, please install the RStudio IDE.
- Mark Dunning, Bioinformatics Core Director
- Katjuša Koler, Phd Student, Hide Lab
- Sokratis Kariotis, Scientific Programmer, Hide Lab
- Please download and extract (un-zip) this zip file into the directory on your computer that you wish to work in
Copies of the markdown files created by the instructor during the live demo
Registration is now closed. Please check back for future dates