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, 
 log.scale = FALSE,
 print.plots = FALSE,
 species = c(),
 verbose = TRUE
)

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.
log.scale: Logical, if TRUE, plots rates and counts on a log scale; if FALSE, plots raw rates and counts.
print.plots: Logical, if TRUE, prints plots; if FALSE, only returns plots in list without printing any.
species: Character vector, list of species levels to plot. If c(), all species levels are plotted.
verbose: Logical, if TRUE, prints updates about the plotting process.

List of ggplot objects for timeseries plots.