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Make your research life easier with the tools of reproducible research! In “Reproducible Analysis and Documentation with RStudio and R Markdown,” we will focus primarly on two workflow-tools. First, we briefly review RStudio Projects to create a project-oriented workflow in your R scripts. The second, and more in-depth part of the workshop, is using R Markdown for literate programming. We will review R Markdown documents, which you can use to write complete papers. We will take a look at the new features in Visual R Markdown, such as citations and technical writing. This is the third workshop in the series “Reproducible Research Practices: Make Your Research Life Easier.” Previous sessions include “[Organize Your Files and Metadata for Transparent and Reproducible Research][1],” “[Version Control with GitHub][2],” and “[Sharing Your Data for Transparent and Reproducible Research][3].” ### Notes View [README.md][4] in the GitHub Repo [`jennhuck/reproAnalysis`][5] for all materials. Online presentation slides, R markdown slide files, and participant demo projects can be found there. [1]: https://osf.io/572rv/ [2]: https://osf.io/xfk9u/ [3]: https://osf.io/f8p2u/ [4]: https://github.com/jennhuck/reproAnalysis/blob/main/README.md [5]: https://github.com/jennhuck/reproAnalysis
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