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.
vars, forecast, fanplot, R2OpenBUGS, zoo, tsbugs, RColorBrewer, shiny
TimeSeries, Econometrics, Finance, Environmetrics, gR, Graphics, Spatial, WebTechnologies
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For attribution, please cite this work as
Abel, "The R Journal: fanplot: An R Package for Visualising Sequential Distributions", The R Journal, 2015
BibTeX citation
@article{RJ-2015-002,
author = {Abel, Guy J.},
title = {The R Journal: fanplot: An R Package for Visualising Sequential Distributions},
journal = {The R Journal},
year = {2015},
note = {https://doi.org/10.32614/RJ-2015-002},
doi = {10.32614/RJ-2015-002},
volume = {7},
issue = {1},
issn = {2073-4859},
pages = {15-23}
}