Anomaly plot of time series
Series are illustrated by vertical lines extending from individual data values to the long-term mean. The axes are not scaled in any way. Anomaly plots are useful for visualizing shifts in time series levels.
plotTsAnom(x, xlab = NULL, ylab = NULL, strip.labels = colnames(x), ...)
x |
matrix or vector time series |
xlab |
optional x-axis label |
ylab |
optional y-axis label |
strip.labels |
labels for individual time series plots |
... |
additional options |
Options are passed to the underlying facet_wrap function in
ggplot2. The main ones of interest are ncol for setting the
number of plotting columns and scales = "free_y" for allowing the y
scales of the different plots to be independent.
A plot and corresponding object of class “ggplot”.
Alan Jassby, James Cloern
# Spring bloom size for 6 stations in SF Bay
bloom <- aggregate(sfbayChla[, 1:6], 1, meanSub, sub=3:5)
plotTsAnom(bloom, ylab = 'Chl-a', strip.labels = paste('Station',
substring(colnames(bloom), 2, 3)), ncol = 2, scales = "free_y")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.