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Measurement Errors in R
dc.contributor.author | Ucar, Iñaki | |
dc.contributor.author | Pebesma, Edzer | |
dc.contributor.author | Azcorra, Arturo | |
dc.date.accessioned | 2021-07-13T09:31:36Z | |
dc.date.available | 2021-07-13T09:31:36Z | |
dc.date.issued | 2018-12-13 | |
dc.identifier.issn | 2073-4859 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12761/474 | |
dc.description.abstract | This paper presents an R package to handle and represent measurements with errors in a very simple way. We briefly introduce the main concepts of metrology and propagation of uncertainty, and discuss related R packages. Building upon this, we introduce the errors package, which provides a class for associating uncertainty metadata, automated propagation and reporting. Working with errors enables transparent, lightweight, less error-prone handling and convenient representation of measurements with errors. Finally, we discuss the advantages, limitations and future work of computing with errors. | |
dc.language.iso | eng | |
dc.publisher | The R Foundation | |
dc.title | Measurement Errors in R | en |
dc.type | journal article | |
dc.journal.title | The R Journal | |
dc.type.hasVersion | VoR | |
dc.rights.accessRights | open access | |
dc.volume.number | 10 | |
dc.issue.number | 2 | |
dc.identifier.doi | 10.32614/RJ-2018-075 | |
dc.page.final | 557 | |
dc.page.initial | 549 | |
dc.description.status | pub | |
dc.eprint.id | http://eprints.networks.imdea.org/id/eprint/1702 |