🎓 Practice 4 - Renv

Structure of the research compendium of the practice 4 of the training course Reproducible Research in Computational Ecology.

Content

This repository is structured as follow:

• data/: contains all raw data required to perform analyses

• R/: contains R functions developed especially for this project

• DESCRIPTION: contains project metadata (author, date, dependencies, etc.)

• _targets.R: contains the pipeline

• index.Rmd: contains the final report to knit

• make.R: main R script to run the entire project by running targets::tar_make()

Usage

Fork and clone the repository, open R/RStudio and run:

source("make.R")

Notes

• All required packages, listed in the DESCRIPTION file, will be installed (if necessary)
• All required packages and R functions will be loaded

How to cite

Casajus N, Bonnici I, Dray S, Gimenez O, Guéry L, Guilhaumon F, Schiettekatte NMD & Siberchicot A (2023) Workshop FRB-CESAB & RT EcoStat: Reproducible Research in Computational Ecology. Zenodo. http://doi.org/10.5281/zenodo.4262978.