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Why R? Webinar - Reproducible research with workflowr

Why R? Webinars are back for Season 2! After over more than 20 000 views in past season we are eager to start a new set of R webinars! All videos from the past series can be watched on our youtube.com/WhyRFoundation channel. See this post to find out about upcoming webinars in September. The aim of webinars is to promote Why R? 2020 Conference (Remote) that is planned for 24-27 September 2020.

Reproducible research with workflowr: a framework for organizing, versioning, and sharing your data analysis projects

Have you ever struggled to re-run your own code or scripts you received from a collaborator? You’re not alone! Fortunately, there are best practices that you can adopt to help you develop more reproducible R code. In this talk, I’ll share some of these best practices, and then describe how the R package workflowr (https://jdblischak.github.io/workflowr/) automates these tasks for you so that you can focus on your analyses. The workflowr framework combines R Markdown for literate programming and Git for version control. I’ll demonstrate how workflowr makes it easier for you to organize your project files, version your code, and share your results online.

John Blischak is a Freelance Scientific Software Developer based out of Akron, Ohio, USA. He received his PhD in Genetics from the University of Chicago, where he became interested in reproducible and transparent computational workflows. Along with co-authors Peter Carbonetto and Matthew Stephens, he has developed the R package workflowr to facilitate reproducible research and promote open science.


  • donate: whyr.pl/donate/
  • channel: youtube.com/WhyRFoundation
  • date: every Thursday 8:00 pm UTC+2
  • format: 45 minutes long talk streamed on YouTube + 10 minutes for Q&A
  • comments: ask questions on YouTube live chat

Future talks

2020-09-24 Pause for 2020.whyr.pl Conference (Remote)

2020-09-17 Me, Myself and my Rprofile

2020-09-10 Data Science for Social Justice

2020-09-03 Reproducible research with workflowr: a framework for organizing, versioning, and sharing your data analysis projects

Previous talks

JD Long Taking friction out of R: helping drive data science adoption in organizations. Video

Leon Eyrich Jessen In Silico Immunology: Neural Networks for Modelling Molecular Interactions using Tensorflow via Keras in R. Video

Erin Hodgess Using R with High Performance Tools on a Windows Laptop. Video

Julia Silge Understanding Word Embeddings. Video

Bernd Bischl, Florian Pfisterer and Martin Binder Pipelines and AutoML with mlr3. Video

Mateusz Zawisza + Armin Reinert Uplift modeling for marketing campaigns. Video

Erin LeDell - Scalable Automatic Machine Learning in R with H2O AutoML. Video

Ahmadou Dicko - Humanitarian Data Analysis with R. Video

Dr. Nina Zumel and Dr. John Mount from win-vector - Advanced Data Preparation for Supervised Machine Learning. Video

Lorenzo Braschi - rZYPAD: Development pipeline for R production. Video

Robin Lovelace and Jakub Nowosad (authors of Geocomputation with R) - Recent changes in R spatial and how to be ready for them. Video

Heidi Seibold, Department of Statistics (collaboration with LMU Open Science Center) (University of Munich) - Teaching Machine Learning online. Video

Olgun Aydin - PwC Poland - Introduction to shinyMobile. Video

Achim Zeileis from Universität Innsbruck - R/exams: A One-for-All Exams Generator - Online Tests, Live Quizzes, and Written Exams with R. Video

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