Resources

NoteA gentle introduction to git for R users

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An online presentation introducing git to R users.

 Author: Nicolas Casajus
 Source: https://github.com/frbcesab/intro-git
 Slides: https://frbcesab.github.io/intro-git

NoteTips & Tricks in Data Science

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A blog providing tips and tricks about R, Python, git, GitHub, Linux, etc.

 Author: Nicolas Casajus et al.
 Source: https://github.com/frbcesab/tips-and-tricks
 Website: https://frbcesab.github.io/tips-and-tricks

NoteConfiguration of R, RStudio/Positron, git, GitHub & Docker

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A tutorial on how to setup a working environment for scientific computing with R, git, GitHub and Docker on the main operating systems (Windows, macOS, and GNU/Linux).

 Author: Nicolas Casajus
 Source: https://github.com/frbcesab/rsetup
 Tutorial: https://frbcesab.github.io/rsetup

NoteReproducible Research with R: Good Practices

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An online presentation introducing the best practices to conduct reproducible research with R.

 Author: Nicolas Casajus
 Source: https://github.com/frbcesab/good-practices
 Slides: https://frbcesab.github.io/good-practices

NoteA User Guide to the FRB-CESAB Computing Server

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A Quarto book on how to use the FRB-CESAB computing server (Rossinante), including RStudio Server, Conda, Jupyter Notebook, Docker, and Parallel Computing.

 Author: Nicolas Casajus
 Source: https://github.com/frbcesab/rossinante
 Book: https://frbcesab.github.io/rossinante

NoteSpatial data analysis in R

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A collection of tutorials on how to handle spatial data (vectors & rasters) in R.

 Author: Romain Frelat
 Source: https://github.com/frbcesab/spatial-r
 Website: https://frbcesab.github.io/spatial-r