# Other resources

[A guide for writing markdown](https://coding-for-reproducible-research.github.io/CfRR_Courses/individual_modules/markdown_with_python/3-Markdown-Fundamentals.html) – a reference for writing markdown documents.

[R for Data Science](https://r4ds.hadley.nz/) – a free online book about doing data science in R, written by one of the leading voices in the R community.

[How reproducible should research software be?](https://zenodo.org/records/4761867) – article describing different levels of reproducibility for academic software depending on its purpose.

[Programming with R](http://swcarpentry.github.io/r-novice-inflammation/) – Introductory course on R from Software Carpentry.
