Data Management in R: A Guide for Social Scientists

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The code examples shown in the book can be run interactively in Jupyter notebooks[1] either in an ephemeral docker container [2] available from https://dataman-r-tmp.elff.eu/ with a maximum lifetime of 15 minutes or in a docker container available from https://dataman-r.elff.eu/ that exists for up to 24 hours, but requires signing in with an ORCID id.[3]

R-scripts, notebooks, and R-markdown files are also available in the GitHub repository https://github.com/melff/dataman-r. A ZIP-file with the contents of the repository can be downloaded from https://github.com/melff/dataman-r/archive/main.zip. Of course, the matarials come with NO WARRANTY whatsoever. They are provided for educational and illustrative purposes only.

  1. For more information about Jupyter see http://jupyter.org. The Jupyter notebooks make use of the RKernel package. ↩︎

  2. For more information about Docker see https://docs.docker.com/. The container images are run with Jupyterhub DockerSpawner. ↩︎

  3. ORCID is a free service for the authentication of researchers. It also allows to showcase publications and contributions to the academic community such as peer review. See https://info.orcid.org/what-is-orcid/ for more information. ↩︎