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News: course on Reproducibility data analysis with R

Dear all,

We are excited to announce our upcoming course on Reproducibility with R, designed to empower researchers, data scientists, and R users like you to enhance collaboration and maximize reproducibility in your projects. This course will provide you with essential skills and tools to overcome common challenges faced when sharing and working on R-based projects.


Course Details: Online, 9-12 October 2023


Course website: https://www.physalia-courses.org/courses-workshops/r-reproducibility/


Our Reproducibility with R course addresses these issues head-on. By leveraging existing tools within the R ecosystem, such as RMarkdown/Quarto, renv, version control, and working environments, you will learn how to organize your projects for efficient collaboration and maximum reproducibility.


Course Highlights: *Organizing an R project to facilitate collaboration

*Creating reproducible documents with RMarkdown/Quarto

*Managing a reproducible environment with package specifications

*Tracking changes with Git version control

*Collaborating effectively using GitHub

*Creating and publishing containers


Full list of our courses and Workshops: https://www.physalia-courses.org/courses-workshops

www.physalia-courses.org

r reproducibility git github

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