resources.qmd

---
title: "Resources"
---

# Learning R

-   R 101 [*LIBD rstats club*](https://research.libd.org/rstatsclub/) blog post: <https://research.libd.org/rstatsclub/2018/12/24/r_101/>
-   Introductory videos from the [*LIBD rstats club*](https://research.libd.org/rstatsclub/) such as this one:

<iframe width="560" height="315" src="https://www.youtube.com/embed/T51DRWeuKm8" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen>

</iframe>

<iframe width="560" height="315" src="https://www.youtube.com/embed/XTuJ8vGnzBU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>

-   Big Book of R: <https://www.bigbookofr.com>
-   List of resources to learn R (but also Python, SQL, Javascript): <https://github.com/delabj/datacamp_alternatives/blob/master/index.md>
-   learnr4free. Resources (books, videos, interactive websites, papers) to learn R. Some of the resources are beginner-friendly and start with the installation process: <https://www.learnr4free.com/en>
-   Data Science with R by Danielle Navarro: <https://robust-tools.djnavarro.net>