Dear all,
there are only a few seats our upcoming online course, "Reproducibility Data
Analysis with R" scheduled for 28-31 October 2024. This course is designed to
help you streamline collaboration and maximize the reproducibility of your R
projects.
Course website: [
https://www.physalia-courses.org/courses-workshops/r-reproducibility/ ](
https://www.physalia-courses.org/courses-workshops/r-reproducibility/ )
Have you ever struggled with running your own R code after some time or when
sharing it with colleagues? This course will teach you how to organise your
projects, manage dependencies, and use tools like RMarkdown/Quarto, renv, Git,
and Docker to ensure your code is reproducible and easy to collaborate on.
This course is ideal for researchers, data scientists, and anyone using R to
generate documents and collaborate with others. Basic experience with R is
recommended. If you do not have experience with R, have a look at our course in
September: [ https://www.physalia-courses.org/courses-workshops/r-tidyverse/ ](
https://www.physalia-courses.org/courses-workshops/r-tidyverse/ )
By the end of this course, participants will be able to:
Create reproducible R projects.
Manage packages and environments with renv.
Track and collaborate on code with Git and GitHub.
Create and publish containers with Docker.
Program:
Daily Schedule: 9 AM - 12 PM (Berlin time)
Monday: Introduction to reproducibility, RStudio projects, RMarkdown/Quarto.
Tuesday: Git, GitHub, and collaboration.
Wednesday: Managing dependencies and sharing data.
Thursday: Introduction to containers and Docker.
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
i...@physalia-courses.org
mobile: +49 17645230846
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