pair_dist: Calculate a weighted distance (between two vectors) based on...

In cannin/tumorcomparer: Compare Patient Samples to Cell Line Models Using Molecular Data and Weighted Similarity

Calculate a weighted distance (between two vectors) based on Jaccard's coefficient

Description

Calculate a weighted distance (between two vectors) based on Jaccard's coefficient

Usage

pair_dist(x, y, weights)

Arguments

x	a vector of discrete values
y	a vector of discrete values
weights	a vector of non-negative alteration values

Value

a weighted distance based on Jaccard's coefficient. Ratio of the size of intersection to the size of the union of two sets after discarding 0-0 matches from the two vectors

Author(s)

Rileen Sinha ([e-mail]), Augustin Luna ([e-mail])

Examples

n <- 100
x <- sample(c(0, 1), n, replace=TRUE)
y <- sample(c(0, 1), n, replace=TRUE)
weights <- rnorm(n)
pair_dist(x, y, weights)

cannin/tumorcomparer documentation built on Feb. 7, 2023, 3:13 p.m.