matddlp {dad}

Matrix of distances between discrete probability distributions given samples

Description

Computes the matrix of the L^p distances between several multivariate or univariate discrete probability distributions, estimated from samples.

Usage

matddlp(x, p = 1)

Arguments

x

object of class "folder" containing the data. Its elements are data frames (one data frame per distribution) whose columns are factors.

p

integer. Parameter of the distance.

Value

Positive symmetric matrix whose order is equal to the number of data frames (or distributions), consisting of the pairwise L^p distances between the 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

ddlp.

matddlppar for discrete probability distributions, given the probabilities on the same support.

Examples

# Example 1
x1 <- data.frame(x = factor(c("A", "A", "B", "B")))
x2 <- data.frame(x = factor(c("A", "A", "A", "B", "B")))
x3 <- data.frame(x = factor(c("A", "A", "B", "B", "B", "B")))
xf <- folder(x1, x2, x3)
matddlp(xf)
matddlp(xf, p = 2)

# 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")))
x3 <- data.frame(x = factor(c("A", "A", "B", "B", "B", "B")),
                 y = factor(c("a", "b", "a", "b", "a", "b")))
xf <- folder(x1, x2, x3)
matddlp(xf, p = 1)