Recent advances in computer technology have tremendously increased the use of functional data, whose graphical representation can be infinite-dimensional curves, images or shapes. This article describes four methods for visualizing functional time series using an R add-on package. These methods are demonstrated using age-specific Australian fertility data from 1921 to 2006 and monthly sea surface temperatures from January 1950 to December 2006.
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For attribution, please cite this work as
Shang, "rainbow: An R Package for Visualizing Functional Time Series", The R Journal, 2011
BibTeX citation
@article{RJ-2011-019,
author = {Shang, Han Lin},
title = {rainbow: An R Package for Visualizing Functional Time Series},
journal = {The R Journal},
year = {2011},
note = {https://doi.org/10.32614/RJ-2011-019},
doi = {10.32614/RJ-2011-019},
volume = {3},
issue = {2},
issn = {2073-4859},
pages = {54-59}
}