# Resources
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## If you are new to R:
* [WEHI R Course Book](https://kzeglinski.github.io/new_wehi_r_course/)
* [R for Data Science](https://r4ds.had.co.nz/)
* [R for Graduate Students](https://bookdown.org/yih_huynh/Guide-to-R-Book/)
* [R for Health Data Science](https://argoshare.is.ed.ac.uk/healthyr_book/)
* [The Tidyverse](https://r-unimelb.gitbook.io/rbook/into-the-tidyverse/the-tidyverse)
:::
::: {.callout-note}
## For more advanced or specific R coding:
* [ggplot2: Elegant Graphics for Data Analysis (3e)](https://ggplot2-book.org/)
* [Be Awesome in ggplot2: A Practical Guide to be Highly Effective - R software and data visualization](https://www.sthda.com/english/wiki/be-awesome-in-ggplot2-a-practical-guide-to-be-highly-effective-r-software-and-data-visualization)
* [Crissy Robert's Code Book](https://chrissyhroberts.github.io/Code_Book/)
:::