Display tour path with a sage scatterplot

Animate a 2D tour path with a sage scatterplot that uses a radial transformation on the projected points to re-allocate the volume projected across the 2D plane.

display_sage(
  axes = "center",
  half_range = NULL,
  col = "black",
  pch = 20,
  gam = 1,
  R = NULL,
  palette = "Zissou 1",
  ...
)

animate_sage(data, tour_path = grand_tour(), ...)

Arguments

axes

position of the axes: center, bottomleft or off

half_range

half range to use when calculating limits of projected. If not set, defaults to maximum distance from origin to each row of data.

col

color to use for points, can be a vector or hexcolors or a factor. Defaults to "black".

pch

marker for points. Defaults to 20.

gam

scaling of the effective dimensionality for rescaling. Defaults to 1.

R

scale for the radial transformation. If not set, defaults to maximum distance from origin to each row of data.

palette

name of color palette for point colour, used by hcl.colors, default "Zissou 1"

...

other arguments passed on to animate and display_sage

data

matrix, or data frame containing numeric columns

tour_path

tour path generator, defaults to 2d grand tour

Examples

# Generate uniform samples in a 10d sphere using the geozoo package
sphere10 <- geozoo::sphere.solid.random(10)$points
# Columns need to be named before launching the tour
colnames(sphere10) <- paste0("x", 1:10)
# Standard grand tour display, points cluster near center
animate_xy(sphere10)
#> Using half_range 1

# Sage display, points are uniformly distributed across the disk
animate_sage(sphere10)
#> Using half_range 1
#> Using half_range 1