RIS ID

127085

Publication Details

Marwick, B., Boettiger, C. & Mullen, L. (2018). Packaging Data Analytical Work Reproducibly Using R (and Friends). American Statistician, 72 (1), 80-88.

Abstract

Computers are a central tool in the research process, enabling complex and large-scale data analysis. As computer-based research has increased in c omplexity, so have the challenges of ensuring that this research is reproducible. To address this challenge, we review the concept of the research compendium as a solution for providing a standard and easily recognizable way for organizing the digital materials of a research project to enable other researchers to inspect, reproduce, and extend the research. We investigate how the structure and tooling of software packages of the R programming language are being used to produce research compendia in a variety of disciplines. We also describe how software engineering tools and services are being used by researchers to streamline working with research compendia. Using real-world examples, we show how researchers can improve the reproducibility of their work using research compendia based on R packages and related tools.

Grant Number

ARC/FT140100101

Available for download on Saturday, September 29, 2018

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