\texttt{code::proof}: Prepare for \emph{most} weather conditions
Autor: | Gray, Charles T. |
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Rok vydání: | 2019 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | Computational tools for data analysis are being released daily on repositories such as the Comprehensive R Archive Network. How we integrate these tools to solve a problem in research is increasingly complex and requiring frequent updates. To mitigate these \emph{Kafkaesque} computational challenges in research, this manuscript proposes \emph{toolchain walkthrough}, an opinionated documentation of a scientific workflow. As a practical complement to our proof-based argument~(Gray and Marwick, arXiv, 2019) for reproducible data analysis, here we focus on the practicality of setting up a reproducible research compendia, with unit tests, as a measure of \texttt{code::proof}, confidence in computational algorithms. Comment: This manuscript was presented by invitation at The Research School on Statistics and Data Science 2019 (RSSDS2019) [https://sites.google.com/view/rssds2019/home] and will be published with the workshop proceedings in Springer Communications in Computer and Information Science |
Databáze: | arXiv |
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