| behaviour_plot {hmer} | R Documentation |
Output Plotting
Description
A simple diagnostic plot that compares the output values to input values, for each possible combination. If emulators are provided, the emulator predictions are plotted; otherwise the model outputs are plotted.
Usage
behaviour_plot(
ems,
points,
model = missing(ems),
out_names = unique(names(collect_emulators(ems))),
targets = NULL
)
Arguments
ems |
A set of |
points |
A set of points at which to evaluate the emulator expectation |
model |
If TRUE, use the model outputs; else use emulator expectation |
out_names |
If no emulators are provided, use this argument to indicate outputs. |
targets |
If targets are provided, these are added into the plots. |
Details
If emulators are provided, then the points argument is optional: if given
then the emulator predictions will correspond to those at the points provided. If
no points are provided, 100*d (where d is the number of input parameters) are sampled
uniformly from the space and used to predict at.
If no emulators are provided, then points must be provided, along with the names of the outputs to plot; each named output must exist as a column in the points data.frame.
Value
The dependency plots.
See Also
Other visualisation tools:
diagnostic_wrap(),
effect_strength(),
emulator_plot(),
hit_by_wave(),
output_plot(),
plot_actives(),
plot_lattice(),
plot_wrap(),
simulator_plot(),
space_removed(),
validation_pairs(),
wave_dependencies(),
wave_points(),
wave_values()
Examples
behaviour_plot(SIREmulators$ems, model = FALSE)
behaviour_plot(points = SIRSample$training, out_names = names(SIREmulators$ems))
#> Throws a warning
behaviour_plot(SIRMultiWaveEmulators, model = TRUE, targets = SIREmulators$targets)