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  A reproducible data analysis workflow with R Markdown, Git, Make, and Docker

Peikert, A., & Brandmaier, A. M. (2021). A reproducible data analysis workflow with R Markdown, Git, Make, and Docker. Quantitative and Computational Methods in Behavioral Sciences, 1: e3763. doi:10.5964/qcmb.3763.

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3763-Main Article File-51407-4-10-20210511.pdf (Publisher version), 2MB
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3763-Main Article File-51407-4-10-20210511.pdf
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https://doi.org/10.5964/qcmb.3763 (Publisher version)
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 Creators:
Peikert, Aaron1, 2, Author              
Brandmaier, Andreas M.2, 3, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society, ou_2074288              
3Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.5964/qcmb.3763
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Title: Quantitative and Computational Methods in Behavioral Sciences
Source Genre: Journal
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Pages: - Volume / Issue: 1 Sequence Number: e3763 Start / End Page: - Identifier: -