Facilitate Exploration of touRR optimisatioN
A ggproto for drawing anchor points
A ggproto for annotating the symmetry of the starting points
A ggproto for drawing directional search points
A ggproto for drawing start points
A ggproto for drawing finish points
A ggproto for drawing interpolation path
A ggproto for annotating the interrupted path
A ggproto for drawing search points
A ggproto for drawing circle
A ggproto for drawing start points
A ggproto for drawing the theoretical basis, if applicable
Bind random bases in the projection bases space as a matrix
Bind random bases in the projection bases space
Bind the theoretical best record
A customised colour palette based on Australian botanies
Data objects collected during the projection pursuit optimisation
Plot the PCA projection of the projection bases space
Plot the grand tour animation of the bases space in high dimension
Plot the count in each iteration
Helper functions for explore_space_pca()
Plot the trace the search progression
ferrn: Facilitate Exploration of touRR optimisatioN
Better label formatting to avoid overlapping
Functions to get components from the data collecting object
Function to calculate smoothness and squintability
Simulated sine, pipe, and gaussian mixture
Pipe operator
Plot the projection from the optimisation data collected from projecti...
Clean method names
continuous scale colour function
A specific theme for trace plots
Diagnostic plots for optimisation, with a focus on projection pursuit. These show paths the optimiser takes in the high-dimensional space in multiple ways: by reducing the dimension using principal component analysis, and also using the tour to show the path on the high-dimensional space. Several botanical colour palettes are included, reflecting the name of the package. A paper describing the methodology can be found at <https://journal.r-project.org/archive/2021/RJ-2021-105/index.html>.
Useful links