R. Bruel > Coding/programming
Coding/programming
When I first used R, I would have never thought I would like it that much (heard that before?). I do most of my work in R because I don’t have any limitation in term of analyses, and it grants reproducibility of my results. I am also very reluctant to use any software that is not freely available, because it limits potential collaboration.
My GitHub gathers some of my past and current projects. While you’re here, have a look at:
- The code to reproduce the analyses from our paper ‘Seeking alternative stable states in a deep lake’ (Bruel et al, 2018) is available here.
- Our R package serac. See the accompanying paper in Journal of Environmental Radioactivity (Bruel & Sabatier, 2020). Link to the preprint (DOI: 10.31223/osf.io/f4yma). Link to the vignette.
- The code to reproduce the analyses from our paper ‘Sampling requirements and approaches to detect ecosystem shifts’ (Bruel & White, 2021) is available here.
- The code to reproduce this website is on my GitHub as well, here. I used Emily C. Zabor’s tutorial.
- Our R package rhobo, developped with Sophie Guillon (Mines ParisTech) to handle and calibrate HOBO data from the PLANAQUA lake-mesocosms at the CEREEP-Ecotron.
- My R package rasqas, a compilation of R functions to handle high-frequency sensor data and compute various indicators, including those used in Bruel et al., 2026. An early version of the package was released on Zenodo: Bruel R. (2026). rasqas: Read, Assemble, Standardize, Qualify and Analyze data from autonomous Sensors, DOI: 10.5281/ZENODO.19006490.
