论文标题

关于可再现文档的程序化生成

On the Programmatic Generation of Reproducible Documents

论文作者

Kane, Michael J., Urbanek, Simon

论文摘要

可再现的文档标准(例如R Markdown)有助于编程创建内容本身是编程方式生成的文档。尽管这些文档通常不完整,因为它们不包括作者提供上下文,叙事等生成的散文内容,但程序化生成可以为结构和构造文档提供实质性的效率。本文通过区分组件来探讨了可再现的程序生成,而不是通过计算手段与需要人类生成散文的人可以创建的,为生成这些文档的生成提供准则,并在临床试验报告中确定了用例。这些概念和用例通过R编程环境的commistown软件包进行说明,该环境目前可在综合R档案网络(CRAN)上使用。

Reproducible document standards, like R Markdown, facilitate the programmatic creation of documents whose content is itself programmatically generated. While these documents are generally not complete in the sense that they will not include prose content, generated by an author to provide context, a narrative, etc., programmatic generation can provide substantial efficiencies for structuring and constructing documents. This paper explores the programmatic generation of reproducible by distinguishing components than can be created by computational means from those requiring human-generated prose, providing guidelines for the generation of these documents, and identifying a use case in clinical trial reporting. These concepts and use case are illustrated through the listdown package for the R programming environment, which is is currently available on the Comprehensive R Archive Network (CRAN).

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