| wave_points {hmer} | R Documentation |
Multiple Wave Point Plotting
Description
Given multiple waves of points, produces pairs plots
Usage
wave_points(
waves,
input_names,
surround = FALSE,
p_size = 1.5,
zero_in = TRUE,
wave_numbers = ifelse(zero_in, 0, 1):(length(waves) - ifelse(zero_in, 1, 0)),
...
)
Arguments
waves |
The list of data.frames, one for each set of points at that wave. |
input_names |
The input names to be plotted. |
surround |
If true, points are surrounded by black boundaries. |
p_size |
The size of the points. Smaller values are better for high-dimensional spaces. |
zero_in |
Is a wave 0 included in the waves list? |
wave_numbers |
Which waves to plot |
... |
Optional parameters (not to be used directly) |
Details
Subsequent waves are overlaid on the same pairs plots, to determine the evolution of the non-implausible region. One-dimensional density plots are also created on the diagonal.
Value
A ggplot object
See Also
Other visualisation tools:
behaviour_plot(),
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_values()
Examples
wave_points(SIRMultiWaveData, c('aSI', 'aIR', 'aSR'))
wave_points(SIRMultiWaveData, c('aSI', 'aIR', 'aSR'), TRUE, 0.8)
# For many plots, it may be helpful to manually modify the font size
wave_points(SIRMultiWaveData, c('aSI', 'aIR', 'aSR')) +
ggplot2::theme(text = ggplot2::element_text(size = 5))