Visualise a timeline of several possible event metrics as 'lollipop' graphs.
lolli_plot(data, xaxis = "date_peak", metric = "intensity_max", event_count = 3)
Output from the
The number of top events to highlight, as determined by the
value given to
The function will return a graph of the intensity of the selected
metric along the y-axis and the chosen
The number of top events as per
event_count will be highlighted
in a brighter colour. This function differs in use from
in that it creates a stand-alone figure. The benefit of this being
that one must not have any prior knowledge of
ggplot2 to create the figure.
ts <- ts2clm(sst_WA, climatologyPeriod = c("1983-01-01", "2012-12-31")) res <- detect_event(ts) library(ggplot2) # The default output lolli_plot(res)