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Artikel ; Online: {NCIFD} — An Internal R Package for a Fisheries Agency

Wheeler, A. Powell / Rachels, Kyle T. / Dockendorf, Kevin J.

Fisheries. 2023 Oct., v. 48, no. 10 p.411-417

2023  

Abstract: We developed an R package for the Inland Fisheries Division of the North Carolina Wildlife Resources Commission to help team members share R functions and data sets. The {NCIFD} package stores several functions that were developed for agency research, ... ...

Abstract We developed an R package for the Inland Fisheries Division of the North Carolina Wildlife Resources Commission to help team members share R functions and data sets. The {NCIFD} package stores several functions that were developed for agency research, including cleanBIODE(), which cleans query results from a database of standardized fish samples and imports the data into an R session. In addition, {NCIFD} stores a variety of data sets including observations from ongoing research projects, hatchery records, and administrative information. Stored in a package, data sets are instantly available for exploration and analysis in an R session, can share a common naming convention, and retain their metadata. Although developing an R package requires effort, we believe it is a useful tool that other fisheries agencies should encourage interested staff to explore. We share advice to help others get started while avoiding some missteps we encountered.
Schlagwörter databases ; fish ; hatcheries ; metadata ; wildlife ; North Carolina
Sprache Englisch
Erscheinungsverlauf 2023-10
Umfang p. 411-417.
Erscheinungsort John Wiley & Sons, Ltd
Dokumenttyp Artikel ; Online
Anmerkung JOURNAL ARTICLE
ZDB-ID 430448-2
ISSN 0363-2415
ISSN 0363-2415
DOI 10.1002/fsh.10974
Signatur
Z 4272: Hefte anzeigen
Datenquelle NAL Katalog (AGRICOLA)

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