A checklist for choosing between R packages in ecology and evolution. Issue 3 (8th January 2020)

• Record Type: Journal Article
• Authors: Lortie, Christopher J.; Braun, Jenna; Filazzola, Alessandro; Miguel, Florencia
• Is Part Of: Ecology and evolution. Volume 10:Issue 3(2020)
• Page Start: 1098
• Page End: 1105
• Publication Date: 2020-01-08
• Subjects: checklist -- guidelines -- heuristic -- open source -- paradox of choice -- R programming language -- reproducible science -- statistical methods -- tools; Ecology -- Periodicals; Evolution -- Periodicals; 577.05
• DOI: 10.1002/ece3.5970
• Languages: English
• ISSNs: 2045-7758

Abstract

Abstract: The open source and free programming language R is a phenomenal mechanism to address a multiplicity of challenges in ecology and evolution. It is also a complex ecosystem because of the diversity of solutions available to the analyst. Packages for R enhance and specialize the capacity to explore both niche data/experiments and more common needs. However, the paradox of choice or how we select between many seemingly similar options can be overwhelming and lead to different potential outcomes. There is extensive choice in ecology and evolution between packages for both fundamental statistics and for more specialized domain‐level analyses. Here, we provide a checklist to inform these decisions based on the principles of resilience, need, and integration with scientific workflows for evidence. It is important to explore choices in any analytical coding environment—not just R—for solutions to challenges in ecology and evolution, and document this process because it advances reproducible science, promotes a deeper understand of the scientific evidence, and ensures that the outcomes are correct, representative, and robust. Abstract : Ecology and evolutionary biology comprise a rapidly changing research landscape. The programming language R is an important component of this change in teaching, research, and practice. Here, we provide a checklist to facilitate choice between similar packages in R for ecology and evolutionary biology. We also highlight the importance of increasing transparency in the practice of computation in our fields. The implication of formally contrasting packages when you make a choice to use one over another is a novel form of certainty and scientific trust.