Section pursuit index. — slice

Calculates a section pursuit index that compares the distribution inside and outside a slice.

slice_index(
  breaks_x,
  breaks_y,
  eps,
  bintype = "polar",
  power = 1,
  flip = 1,
  reweight = FALSE,
  p = 4
)

Arguments

breaks_x: binning on the first variable (x or radius).
breaks_y: binning on the second variable (y or angle).
eps: cutoff values to suppress summing up small differences. Vector with one entry for each bin, can be estimated using estimate_eps.
bintype: select polar (default) or square binning.
power: exponent q used in the index compuatation.
flip: sign of the index computation, select +1 when searching for low densities and -1 when searching for high densities.
reweight: if TRUE will reweight according to the expected distribution in a uniform hypersphere (default is FALSE).
p: number of variables in the data (needed for accurate reweighting, default is 4).