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A Computational Analysis of the Dynamics of R Style Based on 94 Million Lines of Code from All CRAN Packages in the Past 20 Years

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  • Yen, Chai-Yi
  • Chang, Mia Huai-Wen
  • Chan, Chung-hong

Abstract

There are so many programming style variations in R. We have analyzed 94 million lines of R code and quantified the evolution in popularity of 12 style-elements from 1998 to 2018. We attribute 3 main factors that drive changes in programming style: effect of style-guides, effect of introducing new features, and effect of editors. We have identified community-specific programming style variations. For example, there are programming communities which do not use snake_case at all. A consensus in programming style is forming. We have summarised it into a _Consensus-based Style_.

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  • Yen, Chai-Yi & Chang, Mia Huai-Wen & Chan, Chung-hong, 2019. "A Computational Analysis of the Dynamics of R Style Based on 94 Million Lines of Code from All CRAN Packages in the Past 20 Years," SocArXiv ts2wq, Center for Open Science.
    • Handle: RePEc:osf:socarx:ts2wq
    DOI: 10.31219/osf.io/ts2wq
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