Reproducible Research in R | How to do the same thing more than once

hosted by Ludwig-Maximilians University Open Science Center

room 3322, Leopoldstraße 13, München and Zoom

Start: Thursday, 26 Jan 2023 09:00

End: Thursday, 26 Jan 2023 12:00

  • About this event

    Abstract: Many researchers want to work reproducibly, but it is not easy. They must invest considerable time to acquire the knowledge of what is even possible, before getting the skills required for reproducible research. This workshop gives researchers a taste of how to create reproducible data analyses in R (and beyond). Specifically, researchers will learn, in a pre-set online environment, one way to automate the whole process from raw data to publishable manuscripts. This automation is possible by combining dynamic document generation (via R Markdown), version control (via Git), workflow orchestration (via Make) and software management (via Docker). These tools and, therefore, automatic reproduction of results are available on any machine with Docker installed. The resulting workflow is, hence, highly transferable across machines and time. These core properties of reproducibility are demonstrated for any reader by automatically reproducing the manuscript online via GitHub Actions.

     

    Instructor: Aaron Peikert, Center for Lifespan Psychology, Max Planck Institute for Human Development 

    Facilitators: Felix Henninger (Chair for Statistics and Data Science in Social Sciences and the Humanities, LMU), Malika Ihle (LMU Open Science Center coordinator)

     

    Materials: https://aaronpeikert.github.io/repro-workshop/

     

    Participants: The targeted audience are researchers or graduate students working with R. Rough ideas of what Git, RMarkdown (or Jupiter), and the command line are  helpful to follow this tech-savvy workshop.

     

    Requirement: Participants must bring their own laptop and have an internet connection.

     

    Related Paper: https://doi.org/10.3390/psych3040053

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  • Directions

    Event venue address

    room 3322, Leopoldstraße 13, München and Zoom 80802 München Germany
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