slice_index: Section pursuit index.
In tourr: Tour Methods for Multivariate Data Visualisation

slice_index

R Documentation

Section pursuit index.

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
)

`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).