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An introduction to solving biological problems with R



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.

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 attend other specialized courses such as the Statistical analysis using R. Moreover, those with some programming experience in other languages (e.g. Python, Perl) might wish to attend the follow-on Data Manipulation and Visualisation in R course.



  • 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.


For additional information, follow this link.


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