Reproducibility using R

Beyond the availability of data and methods, reproducible science requires the traceability of analyses. Whether it is for yourself or for collaborators, as series of tools and good practices can facilitate your work flow, simplify analyses, and prevent the loss of data and results. This lecture provides an introduction to reproducibility using .

Slides

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About this document

Contributors

  • Thibaut Jombart: initial version

Contributions are welcome via pull requests. The source files include: