» Articles » PMID: 37250590

Gosset: An R Package for Analysis and Synthesis of Ranking Data in Agricultural Experimentation

Overview
Journal SoftwareX
Date 2023 May 30
PMID 37250590
Authors
Affiliations
Soon will be listed here.
Abstract

To derive insights from data, researchers working on agricultural experiments need appropriate data management and analysis tools. To ensure that workflows are reproducible and can be applied on a routine basis, programmatic tools are needed. Such tools are increasingly necessary for rank-based data, a type of data that is generated in on-farm experimentation and data synthesis exercises, among others. To address this need, we developed the R package , which provides functionality for rank-based data and models. The package facilitates data preparation, modeling and results presentation stages. It introduces novel functions not available in existing R packages for analyzing ranking data. This paper demonstrates the package functionality using the case study of a decentralized on-farm trial of common bean ( L.) varieties in Nicaragua.

Citing Articles

The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective.

de Sousa K, van Etten J, Manners R, Abidin E, Abdulmalik R, Abolore B Agron Sustain Dev. 2024; 44(1):8.

PMID: 38282889 PMC: 10811175. DOI: 10.1007/s13593-023-00937-1.

References
1.
Bland J, Altman D . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1(8476):307-10. View

2.
Brown D, Van den Bergh I, de Bruin S, Machida L, van Etten J . Data synthesis for crop variety evaluation. A review. Agron Sustain Dev. 2020; 40(4):25. PMC: 7440334. DOI: 10.1007/s13593-020-00630-7. View

3.
Lowndes J, Best B, Scarborough C, Afflerbach J, Frazier M, OHara C . Our path to better science in less time using open data science tools. Nat Ecol Evol. 2017; 1(6):160. DOI: 10.1038/s41559-017-0160. View

4.
Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S . The climate hazards infrared precipitation with stations--a new environmental record for monitoring extremes. Sci Data. 2015; 2:150066. PMC: 4672685. DOI: 10.1038/sdata.2015.66. View

5.
Bezabih Woldeyohannes A, Iohannes S, Miculan M, Caproni L, Ahmed J, de Sousa K . Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates. Elife. 2022; 11. PMC: 9439699. DOI: 10.7554/eLife.80009. View