L1.dist: Different distances between two given vectors
In Rtreemix: Rtreemix: Mutagenetic trees mixture models.

Description Usage Arguments Value Author(s) See Also Examples

These functions are used for calculating different distances between two given vectors. Thus, L1.dist calculates the L1 distance, cosin.dist calculates the cosine distance, euclidian.dist computes the Euclidian distance, and rank.cor.dist computes the rank correlation distance. The vectors have to have same length. When using rank.cor.dist the vectors have to have length larger than 4.

L1.dist(p, q)
cosin.dist(p, q)
euclidian.dist(x, y)
rank.cor.dist(x, y)

`p`	A `numeric` vector specifying the first component for the distance calculation. It has to have the same length as `q`.
`q`	A `numeric` vector specifying the second component for the distance calculation.
`x`	Same as `p`.
`y`	Same as `q`.

The functions return the distance between the two given vectors.

Jasmina Bogojeska

kullback.leibler, L2.norm, stability.sim

## Define two numeric vectors with equal lengths (> 4).
x <- c(1, 2, 3, 4, 5)
y <- c(5, 6, 7, 8, 9)

## Calculate the L1 distance between the vectors x and y
L1.dist(x, y)

## Calculate the Euclidian distance between the vectors x and y
euclidian.dist(x, y)

## Calculate the cosine distance between the vectors x and y
cosin.dist(x, y)

## Calculate the rank-correlation distance between the vectors x and y
rank.cor.dist(x, y)