Instructions for setting you computer up can be found here
The R programming language provides an effective environment for making sense of data that enables us to address various biological questions. In this introduction course, we will illustrate exploratory data analysis that involves calculating numerical and graphical summaries. For more intermediate participants in the course we will examine more complex visualization tools.
The individual sessions are available at the following sites:
For those familiar with the version control system Git, you can clone the repository using
git clone https://github.com/UofABioinformaticsHub/schoolOfMedicine2016.git
Otherwise, just download today’s data as a zipfile using the following link.
https://github.com/UofABioinformaticsHub/schoolOfMedicine2016/archive/gh-pages.zip
01 R and Data Types
02 Vectors and Functions in R
03 Using Data Frames
04 Loading Data Into R