ddchisqsym: Distance between probability distributions of discrete...

In dad: Three-Way / Multigroup Data Analysis Through Densities

Distance between probability distributions of discrete variables given samples

Description

Symmetrized chi-squared distance between two multivariate (q > 1) or univariate (q = 1) discrete probability distributions, estimated from samples.

Usage

ddchisqsym(x1, x2)

Arguments

x1, x2

vectors or data frames of q columns (can also be a tibble). If they are data frames and have not the same column names, there is a warning.

Details

Let p_1 and p_2 denote the estimated probability distributions of the discrete samples x_1 and x_2. The symmetrized chi-squared distance between the discrete probability distributions of the samples are computed using the ddchisqsympar function.

Value

The distance between the two probability distributions.

Author(s)

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard

References

Deza, M.M. and Deza E. (2013). Encyclopedia of distances. Springer.

See Also

ddchisqsympar: chi-squared distance between two discrete distributions, given the probabilities on their common support.

Other distances: ddhellinger, ddjeffreys, ddjensen, ddlp.

Examples

# Example 1
x1 <- c("A", "A", "B", "B")
x2 <- c("A", "A", "A", "B", "B")
ddchisqsym(x1, x2)

# Example 2
x1 <- data.frame(x = factor(c("A", "A", "A", "B", "B", "B")),
                 y = factor(c("a", "a", "a", "b", "b", "b")))                 
x2 <- data.frame(x = factor(c("A", "A", "A", "B", "B")),
                 y = factor(c("a", "a", "b", "a", "b")))
ddchisqsym(x1, x2)

dad documentation built on Aug. 30, 2023, 5:06 p.m.