hmer (version 1.6.2)

wave_points: 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)),
  ...
)

Value

A ggplot object

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.

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'))
 # \donttest{
     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))
 # }