Hi all, Reproducibility is essential for robust, reliable research. Join our online course Reproducibility Data Analysis with R (8?11 June) and learn how to build workflows that run anywhere, anytime. In this hands-on course, you?ll learn to use Quarto, renv, Git/GitHub, and Docker to create analyses that are fully reproducible, shareable, and future-proof. For more information: [ https://www.physalia-courses.org/courses-workshops/r-reproducibility/ ]( https://www.physalia-courses.org/courses-workshops/r-reproducibility/ ) Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info at physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ )
Reproducibility Data Analysis with R
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