discretize_vector: discretization

In sdsfun: Spatial Data Science Complementary Features

discretization

Description

discretization

Usage

discretize_vector(
  x,
  n,
  method = "natural",
  breakpoint = NULL,
  sampleprob = 0.15,
  seed = 123456789
)

Arguments

x	A continuous numeric vector.
n	(optional) The number of discretized classes.
method	(optional) The method of discretization, default is natural.
breakpoint	(optional) Break points for manually splitting data. When method is manual, breakpoint is required.
sampleprob	(optional) When the data size exceeds 3000, perform sampling for discretization, applicable only to natural breaks. Default is 0.15.
seed	(optional) Random seed number, default is 123456789.

Value

A discretized integer vector

Examples

xvar = c(22361, 9573, 4836, 5309, 10384, 4359, 11016, 4414, 3327, 3408,
         17816, 6909, 6936, 7990, 3758, 3569, 21965, 3605, 2181, 1892,
         2459, 2934, 6399, 8578, 8537, 4840, 12132, 3734, 4372, 9073,
         7508, 5203)
discretize_vector(xvar, n = 5, method = 'natural')

sdsfun documentation built on April 3, 2025, 8:39 p.m.