Agricolae - Ten years of an open source statistical tool for experiments in breeding, agriculture and biology
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Scientific Computing and Simulation, Visual Analytics
- Keywords
- experimental design, agriculture, plant breeding, Duncan, REGW, LSD, Durbin, Waller, Friedman, SNK, AMMI, diffograph, HSD, alpha design, Kruskal-Wallis, BIB, PBIB, Waerden, AUDPS, AUDPC, non-parametric analysis, lattice, Scheffe, biodiversity, Index Smith
- Copyright
- © 2015 De Mendiburu et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. Agricolae - Ten years of an open source statistical tool for experiments in breeding, agriculture and biology. PeerJ PrePrints 3:e1404v1 https://doi.org/10.7287/peerj.preprints.1404v1
Abstract
Plant breeders and educators working with the International Potato Center (CIP) needed freely available statistical tools. In response, we created first a set of scripts for specific tasks using the open source statistical software R. Based on this we eventually compiled the R package agricolae as it covered a niche. Here we describe for the first time its main functions in the form of an article. We also review its reception using download statistics, citation data, and feedback from a user survey. We highlight usage in our extended network of collaborators. The package has found applications beyond agriculture in fields like aquaculture, ecology, biodiversity, conservation biology and cancer research. In summary, the package agricolae is a well established statistical toolbox based on R with a broad range of applications in design and analyses of experiments also in the wider biological community .
Author Comment
This is a submission to PeerJ Computer Science for review.