r-cubed: Guiding the overwhelmed scientist from random wrangling to Reproducible Research in R

R Submitted 08 February 2021 • Published 09 October 2021
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Review

Editor: @JasonJWilliamsNY (all papers)
Reviewers: @pschloss (all reviews), @fmichonneau (all reviews)

Authors

Luke W. Johnston (0000-0003-4169-2616), Helene Baek Juel (0000-0002-5763-8545), Bettina Lengger (0000-0001-9997-7011), Daniel R. Witte (0000-0002-0769-2922), Hannah Chatwin (0000-0001-7248-8568), Malene Revsbech Christiansen (0000-0002-9772-3576), Anders Aasted Isaksen (0000-0001-8457-5466)

Citation

Johnston et al., (2021). r-cubed: Guiding the overwhelmed scientist from random wrangling to Reproducible Research in R. Journal of Open Source Education, 4(44), 122, https://doi.org/10.21105/jose.00122

@article{Johnston2021, doi = {10.21105/jose.00122}, url = {https://doi.org/10.21105/jose.00122}, year = {2021}, publisher = {The Open Journal}, volume = {4}, number = {44}, pages = {122}, author = {Luke Johnston and Helene Juel and Bettina Lengger and Daniel Witte and Hannah Chatwin and Malene Christiansen and Anders Isaksen}, title = {r-cubed: Guiding the overwhelmed scientist from random wrangling to Reproducible Research in R}, journal = {Journal of Open Source Education} }
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rstats reproducible research reproducibility introduction workflow open education open science data analysis

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Education is an affiliate of the Open Source Inititative.

Journal of Open Source Education is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2577-3569