An Introduction to Solving Biological Problems with R
Date: 4 - 5 September 2017
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. After the course you should feel confident to start exploring your own dataset using the materials and references provided.
The course website providing links to the course materials is here.
Please note that although we will demonstrate how to perform statistical analysis in R, we will not cover the theory of statistical analysis in this course. Those seeking an in-depth explanation of how to perform and interpret statistical tests are advised to see the list of Related courses. Moreover, those with some programming experience in other languages (e.g. Python, Perl) might wish to attend the follow-on Data Analysis and Visualisation in R course.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.''
Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals
Event types:
- Workshops and courses
Scientific topics: Bioinformatics, Biology
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