Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 54-59 |
| Number of pages | 6 |
| Journal | R Journal |
| Volume | 3 |
| Issue number | 2 |
| Publication status | Published - Dec 2011 |
| Externally published | Yes |