Plot timeseries effects from wisp results — plot.timeseries • wispack

Function to plot timeseries effects from wisp results, separated by a splitting factor (e.g., hemisphere).

Usage

plot.timeseries(wisp.results, splitting_factor = NULL, pred.type = "pred")

wisp.results: List, output of the wisp function.
splitting_factor: Character string, the name of the fixed effect by which to split the timeseries. If NULL, the first non-timeseries fixed effect is used. If "none", will not split.
pred.type: Character string, the name of the predicted rate column in the count data (e.g., "pred.log" or "pred").
count.type: Character string, the name of the observed count column in the count data (e.g., "count.log" or "count").
print.all: Logical, if TRUE, prints all plots; if FALSE, only returns plots in list without printing any.
verbose: Logical, if TRUE, prints updates about the plotting process.

List of ggplot objects for timeseries plots.