discretize: Discretize Numeric Variable Into Categories

In sbarkerclarke-phd/CoOccurR: Generalized Application of Co-Occurrence Matrices and Haralick Texture

Discretize Numeric Variable Into Categories

Description

Takes a numeric variable (could be of class numeric or integer) and returns a discretized version, in which each element has been replaced by a single integer between 1 and nlevels, inclusive.

Usage

discretize(x, ...)

## S3 method for class 'numeric'
discretize(x, nlevels, method = "equal", ...)

## S3 method for class 'list'
discretize(x, nlevels, ...)

## S3 method for class 'integer'
discretize(x, nlevels, ...)

## S3 method for class 'FitLandDF'
discretize(x, nlevels, ...)

Arguments

x	either a vector (numeric or integer) or FitLandDF object
...	potential additional arguments, currently unnecessary
nlevels	positive integer indicating number of discrete categories
method	method by which to discretize; split into equal sections by default ("equal" value for parameter)

Value

discretized form of x

Examples

## discretize a numeric vector
vec <- 1:10
discretize(vec, nlevels = 5) # discretize into 5 categories
discretize(vec, 2)           # discretize into 2 categories

## discretize a fitness landscape
# create a 3x3x3 fitness landscape with values 1 through 27
fl_data <- array(1:27, dim = rep(3, 3))
my_fl <- fitscape::FitLandDF(fl_data)
discretize(my_fl, nlevels = 2) # discretize landscape into 2 categories
discretize(my_fl, 5)           # discretize landscape into 5 categories

sbarkerclarke-phd/CoOccurR documentation built on April 5, 2024, 1:48 p.m.