Prepare the functions you want to includeįirst of all, we need to have all the functions (and possibly dataframes & other objects) ready in our R environment. Also, I learned a lot using this package as an example. Two links I found very useful for getting started making my first package are this one and this one (regarding the storing of API keys). However, you can of course make a wrapper for any API you like or make a non-API related package.

You can sign up for FlightStats to get a free trial API key (which unfortunately works for one month only). My first package is a wrapper for the FlightStats API.

Of course, there are different approaches out there, some of them very well documented, like for example this one – but the following 3 easy steps worked for me, so maybe they will help you too getting your first R package ready, installed and online quickly. Therefore, I will explain how I made my first R package and which methods I found helpful. What to do with the import of external libraries?.

I was often left with remaining questions:

It took me some time to figure out the full process from A to Z. I recently reached that point and wanted to learn how to build my own R package – as simple as possible. If you find yourself often repeating the same scripts in R, you might come to the point where you want to turn them into reusable functions and create your own R package.

Create your own r package