Bioinformatics: Advanced R Programming

Prerequisites

The course will teach intermediate to advanced R programming using the object-oriented programming paradigm, and how to document code and data to lead to a fully functional R package.

• Postgraduate researchers
• Further details regarding Graduate School of Life Sciences' eligibility criteria are available

• Only attending Bioinformatics: Introduction to R would not provide sufficient background for this course
• A substantial period of active programming experience in R will be assumed
• Familiarity with object-oriented programming and Latex would be an advantage, but not essential

Number of sessions: 1

• Introduction: what is object-oriented programming; description of the working example; R programming best practices: tips and tricks, environments, coding standards
• R object-oriented programming: the S3 and S4 OO systems
• Documentation: documenting functions, methods and data, providing executable examples; documentation using Roxygen; executing R code inside Latex document (Vignettes)
• Writing R packages: minimum package structure; combining the written classes/generics/methods and documentation to create a package; building, checking and installing packages
• Other advanced R programming topics: testing code, unit testing; profiling and debugging; calling C code inside R

The aim of this course is to help users and programmers streamline their R programming, write object-oriented code and/or develop packages

Presentation and demonstrations

1

A number of times per year