I recently conducted a workshop to teach basic programming in R. It was designed as a crash course for those without coding experience, where we dive right into organising, visualising and analysing data. While it wasn’t meant to be a self-study course, the slides were made to go along with the notes, so anyone should be able to follow along quite nicely. I’ve decided to make the materials freely available on Github.
Check out the slides if you’d like to see the potential of the R programming language. I’ve also provided links to useful resources if you’re interested in getting into data science using R.
This post is also shared on R-bloggers.com.
Citation
BibTeX citation:
@misc{x. p.2019,
author = {X. P. , Song},
title = {A Crash Course in {R} Programming},
date = {2019-07-12},
url = {https://xpsong.com/posts/intro2r},
langid = {en}
}
For attribution, please cite this work as:
X. P., Song. 2019. “A Crash Course in R Programming.” July
12, 2019. https://xpsong.com/posts/intro2r.