Coincidently, i found this interesting github repo the other day written in R that analyses the large drop in Covid cases in Mexico city after early treatment with Ivermectin:

https://github.com/nasaul/paper_ivermectina

What really impressed me was how it stored the data in a google sheet, but the R-Studio program could still connect to google sheets trivially download the data (prompting the user to authenticate the app to google sheets). It was a nice experience.

You can do this in python and pandas as well

https://github.com/mnky9800n/data-analysis-tools/blob/master...

Something like that is also possible with F# https://twitter.com/zaid_ajaj/status/1365124291965157380

Though this book was made for epidemiologists who want to learn R, I believe such a topic-focused presentation is great for anyone wishing to learn R.

Glad that it has section on style guides and packages that help with styling R code such as "lintr" and "styler". Looks fairly comprehensive even for non-Epidemiologist.

This looks like a very good introduction, and it's well worth bookmarking for reference. I'd recommend it to beginners, especially those with an interest in epidemiology.