Create and share reproducible code with R Markdown and workflowr (Repeat)

Last month we hosted a tutorial as a part of useR!2020. We are running it again this month, for those who were unable to attend / did not get a ticket. The tutorial is valuable for everyone, but especially so for Masters and PhD students - if you know anyone who is busy with either of these, please encourage them to sign up on our group and RSVP :).

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, please also check your Spam / Junk Folder as materials often end up there when sent via Meetup.

Instructors:
Dr. Inger Fabris-Rotelli (and Vebash Naidoo) on behalf of Dr. John Blischak & Dr. Peter Carbonetto.

It will be an online meetup, and the link will be posted closer to the date.