discretize2d.uniform_frequency: Discretize two sets of continuous data into 2-dimensional...

In chupan1218/Informeasure: R implementation of informtion measures

Discretize two sets of continuous data into 2-dimensional bins by uniform frequency

Description

discretize2d.uniform_frequency assigns the observations of two continuous random variables to bins according to the "uniform frequency" method, and returns a corresponding 2-dimensional count table.

Usage

discretize2d.uniform_frequency(x, y)

Arguments

x	a numeric vector of the first random variable.
y	a numeric vector of the second random variable.

Details

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

Value

discretize2d.uniform_frequency returns a 2-dimensional count table.

Examples

# two numeric vectors corresponding to two continuous random variables
x <- c(0.0, 0.2, 0.2, 0.7, 0.9, 0.9, 0.9, 0.9, 1.0)
y <- c(1.0, 2.0,  12, 8.0, 1.0, 9.0, 0.0, 3.0, 9.0)

# corresponding joint count table estimated by "uniform frequency" algorithm
discretize2d.uniform_frequency(x,y)

chupan1218/Informeasure documentation built on Jan. 19, 2024, 5:30 p.m.