Dear all, We have one last seat available for our online course "An R Reproducibility Toolkit for the Practical Researcher," starting tomorrow. The course is designed for researchers who use R and want to make their analyses fully reproducible and easier to share with collaborators. Topics include Quarto, Git, renv, research compendia, and Docker, with a focus on practical workflows that can support transparent and reusable environmental and ecological data analyses. Course 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 [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
