discretize1d.uniform_width: Discretize a set of continuous data into 1-dimensional bins...

Description Usage Arguments Details Value Examples

View source: R/discretization.plugin.R

Description

discretize1d.uniform_width assigns the observations of continuous random variables to bins according to the "uniform width" method, and returns a corresponding count table.

Usage

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Arguments

x

a numeric vector of a random variable.

Details

Uniform width-based method ("uniform_width") divides the continuous data into N bins with equal width. The number of bins N is initialized into a round-off value according to the square root of the data size.

Value

discretize1d.uniform_width returns a count table.

Examples

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# a numeric vector corresponding to a continuous random variable
x <- c(0.0, 0.2, 0.2, 0.7, 0.9, 0.9, 0.9, 0.9, 1.0)

# corresponding count table estimated by "uniform width" algorithm
discretize1d.uniform_width(x)

Informeasure documentation built on Nov. 8, 2020, 7:20 p.m.