useR! 2020: Create and share reproducible code with R Markdown and workflowr

We are proud to host the tutorial as a part of useR!2020. We have limited slots for the tutorial (only 8 for our group), so please only register if you are going to attend. Should the event become fully booked and you are not able to register, please head over to Botswana RUG meetup page (https://www.meetup.com/Botswana-R-Users/) or RLadies Johannesburg (https://www.meetup.com/rladies-johannesburg/) if you are a woman and minority gender as they will also be hosting with us.

Please note: We are opening up 15 spots and we will be choosing 8 from them who will attend the workshop. The others will be wait-listed in the event someone drops off the attendees list.

Description:
Have you ever struggled to re-run your own code or scripts you received from a collaborator? You're not alone! Fortunately, there are simple practices that you can use to help you develop more reproducible R code. In this tutorial, you will 1) explore some of the common causes of non-reproducible code, 2) gain practical experience fixing reproducibility issues, and 3) use the R package workflowr (https://jdblischak.github.io/workflowr/) to facilitate creation of more reproducible and shareable code. The tutorial will be hands-on and interactive, with small-group exercises.

Prerequisites:
Participants should have some experience using R (e.g. importing data from a file, loading a package). The tutorial will involve running R code in R Markdown files from the RStudio IDE. If you are unfamiliar with R Markdown, we recommend reviewing these short guides before participating in the tutorial:
Introduction,
How It Works,
[Code Chunks](https://rmarkdown.rstudio.com/lesson-3.html].

Requirements:
A web browser, an account on GitHub (https://github.com/), and an account on RStudio Cloud (https://rstudio.cloud/). We will email you the tutorial materials.

Instructors:
Dr. John Blischak received his PhD in Genetics from the University of Chicago. He is the author of the CRAN package workflowr, and has years of experience performing reproducible data analysis with R, R Markdown, and Git. He is a certified Software Carpentry Instructor, and has taught over 10 workshops for researchers covering topics such as Bash, Python, R, and Git. He co-authored the tutorial published in PLoS Computational Biology, A quick introduction to version control with Git and GitHub. Lastly, he has taught the workflowr framework in a live workshop setting four times.

Dr. Peter Carbonetto, a co-author of the workflowr R package, is a research staff scientist in the Human Genetics Department and the cross-disciplinary Research Computing Center at the University of Chicago. He has a background in computer science and machine learning, and currently does research at the interface of genetics, statistics, and computer science. He frequently gives R and bioinformatics skills workshops at the University of Chicago.

It will be an online meetup, and the link will be sent to successful attendees via email.

All Information: https://bit.ly/2WqAfNy