Dear all,
We are excited to announce our upcoming online course on Reproducibility Data
Analysis with R, which will be held online from October 28-31. This course is
designed to help you streamline your R projects for better collaboration and
reproducibility.
Course website: [
https://www.physalia-courses.org/courses-workshops/r-reproducibility/ ](
https://www.physalia-courses.org/courses-workshops/r-reproducibility/ )
Have you ever faced challenges with sharing your R code, such as missing
packages, unclear scripts, or code that breaks after updates? This course will
equip you with the skills to avoid these issues. Learn to leverage tools like
RMarkdown, renv, version control, and more to ensure your projects run
smoothly, even weeks later.
This course is ideal for researchers, data scientists, and anyone using R to
generate documents who wishes to collaborate efficiently. A basic understanding
of R is recommended.
By the end of this course, you will be able to:
Create reproducible R projects and documents
Manage package dependencies
Track changes using git
Collaborate using GitHub
Create and publish containers
Daily Schedule:
9 AM - 1 PM (Berlin time): Live lectures, coding, and exercises
Asynchronous support via Slack
For the full list of our courses and workshops, please visit: [
https://www.physalia-courses.org/courses-workshops/ ](
https://www.physalia-courses.org/courses-workshops/ )
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
i...@physalia-courses.org
mobile: +49 17645230846
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