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.

Usage

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

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"
axislablong: text labels only for the long axes in a projection, default FALSE
...: 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