Some of the contents of this tutorial build on the Digital Essentials module that is offered by the UQ library, the Reproducible Research resources (created by Griffith University’s Library and eResearch Services), and on Amanda Miotto’s Reproducible Reseach Things (see also here for an alternative version and here for the GitHub repo). The idea behind this tutorial is to address this issue and provide advice on how to handle data and creating efficient workflows. In data science or when working with data, issues relating to organizing files and folders, managing data and projects, avoiding data loss, and efficient work flows are essential. If you want to render the R Notebook on your machine, i.e. knitting the document to html or a pdf, you need to make sure that you have R and RStudio installed and you also need to download the bibliography file and store it in the same folder where you store the Rmd file. The entire R Notebook for the tutorial can be downloaded here.
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