rrtools: Tools for Writing Reproducible Research in R
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Updated
Jun 6, 2024 - R
rrtools: Tools for Writing Reproducible Research in R
Package an R workspace and all dependencies as a Docker container
🐳 Containerize R Markdown documents for continuous reproducibility
Project directory generator R package
This is the repository for the Literate Programming Workshop
NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach
The stack I use to make reproducible reports of my statistical analyses
Import spectral data and related metadata in R
An awesome list of resources for reproducible research in R. Includes a table of comparison for different tools.
📷 R package that supports the analysis of images annotations 📷
ASM18 workshop - Reproducible Data Visualization using `rmarkdown` and `ggplot2`
[PATENT PENDING] R package that automates mass spectrometry data processing
The goal of ContainR is to enable easier container development for computational reproducibility by RStudio Rocker-Versioned stacks to create a Docker image of a project.
Highly experimental R package to use GNU `make` directly from RStudio.
R project templates for reproducible research and analyses
Reproducible scripts for (P. Carella et al) manuscript
Code and data for transition matrix analysis of mother tongue transmission in a multilingual population
Science des données biologiques III & IV, UMONS (2023-2024)
The goal of {bookprep} is to prepare a {bookdown} project from a customizable bookdown skeleton and, if needed, a template for the chapters. {bookprep} helps creating reproducible yet flexible bookdown projects, for instance to deliver data analyses to customers following a standardized format.
EDS 214: Analytical Workflows & Scientific Reproducibility
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