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A Hands-On Introduction To Literate Programming In R

Authors: Tim Dennis; Harrison Dekker;

A Hands-On Introduction To Literate Programming In R

Abstract

A fundamental challenge for open science is how best to share the code and data used to produce the analysis, tables, and figures contained in a publication. Fortunately, new tools are emerging to address this problem. This workshop will introduce a solution that utilizes widely used open source components. We'll create a "compilable" document containing text and bibliography, as well as all the code needed to create the graphs and tables. We'll demonstrate how the process facilitates making revisions when data changes or in response to reviewer recommendation and the ease with which work can be shared pre or post publication. The following tools will be introduced: RStudio Markdown Zotero BibTex GitHub

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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