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Molecular and Computational Biology Research School
Practical course

R Crash Course May 20-24

Introduction to R for non-programmers using gapminder data.

Symbolic illustration of a dataset
Photo:
Colourbox

Content

The goal of this course is to teach novice programmers to write modular code and introduce to you best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.

A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.

For more information, see the course homepage

 

Credits: 2