View source: R/multiwaveplot.R
wave_points | R Documentation |
Given multiple waves of points, produces pairs plots
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)),
...
)
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) |
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.
A ggplot object
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()
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))
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