R for Small-Scale Fishery Data

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cg.contribution.worldfishauthorLongobardi, L.en_US
cg.contributor.affiliationWorldFishen_US
cg.contributor.funderInternational Center for Tropical Agricultureen_US
cg.contributor.projectAccelerating Impacts of CGIAR Climate Research for Africa -ZAMBIAen_US
cg.description.themeFisheriesen_US
cg.identifier.statusOpen accessen_US
cg.identifier.urlhttps://worldfishcenter.github.io/ssf.training/en_US
cg.subject.agrovocdata analysisen_US
cg.subject.agrovocsmall-scale fisheriesen_US
cg.subject.agrovoccomputer programmingen_US
cg.subject.agrovocfishen_US
dc.creatorLongobardi, L.en_US
dc.date.accessioned2025-02-27T08:18:27Z
dc.date.available2025-02-27T08:18:27Z
dc.date.issued2024en_US
dc.description.abstractWelcome to our interactive R programming course, specifically designed for small-scale fisheries data analysis. Learn through practical tutorials that run directly in your browser - no installation needed. Start with R fundamentals and progress at your own pace, practicing each concept with interactive exercises. Each tutorial builds on previous ones, helping you develop practical skills for analyzing your fisheries data. Browse the tutorials to begin your journey in R programming for fisheries analysis.en_US
dc.identifier.citationR for Small-Scale Fishery Data. Bayan Lepas, Malaysia: WorldFish (WF).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12348/6408
dc.languageenen_US
dc.publisherWorldFish (WF)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.titleR for Small-Scale Fishery Dataen_US
dc.typeTraining Materialen_US

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