Skip to content

Reproducible analysis in R

1 message · i@io m@iii@g oii phys@ii@-courses@org

#
Dear all,
 
there are the last seats available for the 2nd edition of the course Reproducible Analysis With R course
 
Dates: October 31st - November 3rd
 
Course website: [ https://www.physalia-courses.org/courses-workshops/r-reproducibility/ ]( https://www.physalia-courses.org/courses-workshops/r-reproducibility/ )
 
You will learn how to organize a project to speed up collaboration and maximize its reproducibility by leveraging existing tools in the R ecosystem --such as RMarkdown, renv, and others--, version control and working environments.
 
 
 
 
 
By the end of this course, participants will be able to: 
 
-Create an R project that outputs a reproducible document.
 
- Create and manage a reproducible environment that specifies packages and packages versions. 
 
- Track changes with git.
 
- Collaborate with others and themselves with GitHub. 
 
- Create and publish containers.
 
 
 
Complete list of our courses and Workshops: [ https://www.physalia-courses.org/courses-workshops ]( https://www.physalia-courses.org/courses-workshops )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Should you have any questions, please feel free to contact us: info at physalia-courses.org Best regards,Carlo
 
 
 
 
 
 
 
--------------------

Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info at physalia-courses.org

mobile: +49 17645230846

Follow us on [ Twitter ]( https://twitter.com/Physacourses )