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

Peikert, A., & Brandmaier, A. M. (in press). A reproducible data analysis workflow with R Markdown, Git, Make, and Docker. Quantitative Methods in Computational and Behavioral Science.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-3E1D-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-549D-9
Genre: Journal Article

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https://dx.doi.org/10.31234/osf.io/8xzqy (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: Accepted / In Press
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 Rev. Type: Peer
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Title: Quantitative Methods in Computational and Behavioral Science
Source Genre: Journal
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