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Article: Fanplot: An R package for visualising sequential distributions

TitleFanplot: An R package for visualising sequential distributions
Authors
Issue Date7-Apr-2017
PublisherR Foundation for Statistical Computing
Citation
The R Journal, 2015, v. 7, n. 1 How to Cite?
Abstract

Fan charts, first developed by the Bank of England in 1996, have become a standard method for visualising forecasts with uncertainty. Using shading fan charts focus the attention towards the whole distribution away from a single central measure. This article describes the basics of plotting fan charts using an R add-on package alongside some additional methods for displaying sequential distributions. Examples are based on distributions of both estimated parameters from a time series model and future values with uncertainty.


Persistent Identifierhttp://hdl.handle.net/10722/354071
ISSN
2023 Impact Factor: 2.3
2023 SCImago Journal Rankings: 0.758

 

DC FieldValueLanguage
dc.contributor.authorAbel, G-
dc.date.accessioned2025-02-07T00:35:28Z-
dc.date.available2025-02-07T00:35:28Z-
dc.date.issued2017-04-07-
dc.identifier.citationThe R Journal, 2015, v. 7, n. 1-
dc.identifier.issn2073-4859-
dc.identifier.urihttp://hdl.handle.net/10722/354071-
dc.description.abstract<p>Fan charts, first developed by the Bank of England in 1996, have become a standard method for visualising forecasts with uncertainty. Using shading fan charts focus the attention towards the whole distribution away from a single central measure. This article describes the basics of plotting fan charts using an R add-on package alongside some additional methods for displaying sequential distributions. Examples are based on distributions of both estimated parameters from a time series model and future values with uncertainty.<br></p>-
dc.languageeng-
dc.publisherR Foundation for Statistical Computing-
dc.relation.ispartofThe R Journal-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleFanplot: An R package for visualising sequential distributions-
dc.typeArticle-
dc.identifier.doi10.32614/RJ-2015-002-
dc.identifier.volume7-
dc.identifier.issue1-
dc.identifier.issnl2073-4859-

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