There are very quick ways to open R and begin coding, however, having an organised, well-structured working directory in your computer can save you hours of hassle and make your code much easier to share. As biology and data science are becoming increasingly complex many are turning to computer intensive, coding based software (like you!). With this movement in data science and open access, having our code reproducible, transparent and understandable is key. So why not start off like that.
The first part of this tutorial follows many practices outlined in the fantastic “Guide to Reproducible Code in Ecology and Evolution” from the British Ecological Society. I strongly recommend reading this at some stage.
Before we jump into R, we are going to create a clean and managable folder system.
Create a new folder in a location of your choosing (e.g. My Documents or Desktop) called R-tutorials
This can be named anything you like, but try to keep it relevant and understandable (for future you).
In this new folder, create a series of new folders called:
Now, let’s move on to the next step.