This course provides an introduction to R as a programming language, including:
- basic calculations
- data structures (vectors, matrices and data frames)
- control structures (if, while and for)
- functions
- importing and working with data
- plotting charts
We will not look at statistical testing or advanced data manipulation, as these are beyond the scope of this introductory course.
Please ensure that you have up-to-date versions of both R and RStudio installed and working before the course:
R and RStudio can also be installed via the Anaconda data science platform:
Download this repository to your computer as a ZIP file (via the big green button at the top of this page) and unpack it. Windows users should make sure that the files are actually extracted to create a real directory (the folder icon will not have a zip). Use of networked file systems is likely to cause problems with RStudio, so it is advisable to put this directory on your local storage (e.g. your desktop).
Open r_programming_1.html in your web browser to get started.
Alternatively, you can run the notebook online using Binder:
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At the end of the course, please help us by completing the evaluation form at https://tinyurl.com/feedback-rcds
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.