The FAIR principles are not exactly framed around software source code, so we will be interpreting some aspects into them.
Our real goal isn’t to teach you R, but a few good practices for any kind of programming: using functions, as well as documenting, packaging and testing them.
We want to:
Learners need to understand the concepts of files and directories (including the working directory). We recommend RStudio to teach and follow this lesson, because some GUI elements will be used.
|Setup||Download files required for the lesson|
|00:00||1. Introduction to RStudio||How do I use the RStudio graphical user interface?|
How do I read data into R?
How do I assign variables?
What is a data frame?
How do I calculate simple statistics like mean and median?
Where can I get help?
How can I plot my data?
|01:15||3. Creating Functions||
How do I make a function?
How can I test my functions manually?
How should I document my code?
|02:45||4. Making Packages In R||
How do I collect my code together so I can reuse it and share it?
How do I make my own package(s)?
How do I integrate my function documentation into R’s help pages system?
What helper tools does RStudio provide me with?
|04:15||5. Unit-Testing And Test-driven Development||
What is the benefit of unit-testing my code?
How do I create and run unit tests?
Why would I change my code after I got it to run?
|05:15||6. Tidying & Packaging Datasets||
What are possible forms that a dataset can have?
What advantages and disadvantages do these forms have?
Which features make a dataset more or less reusable?
How can we add datasets to R packages?
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.