explore_trace function

Plot the trace the search progression

Trace the index value of search/ interpolation points in guided tour optimisation

explore_trace_interp(
  dt,
  iter = NULL,
  color = NULL,
  group = NULL,
  cutoff = 50,
  target_size = 3,
  interp_size = 1,
  accuracy_x = 5,
  accuracy_y = 0.01
)

Arguments

• dt: a data object collected by the projection pursuit guided tour optimisation in tourr
• iter: the variable to be plotted on the x-axis
• color: the variable to be coloured by
• group: the variable to label different runs of the optimiser(s)
• cutoff: numeric; if the number of interpolating points is smaller than cutoff, all the interpolation points will be plotted as dots
• target_size: numeric; the size of target points in the interpolation
• interp_size: numeric; the size of interpolation points
• accuracy_x: numeric; If the difference of two neighbour x-labels is smaller than accuracy_x, only one of them will be displayed. Used for better axis label
• accuracy_y: numeric; the precision of y-axis label

Returns

a ggplot object for diagnosing how the index value progresses during the interpolation

Examples

# Compare the trace of interpolated points in two algorithms
holes_1d_better %>%
  explore_trace_interp(interp_size = 2) +
  scale_color_continuous_botanical(palette = "fern")

See Also

Other main plot functions: explore_space_start(), explore_space_tour(), explore_trace_search()