jaccard.test.bootstrap {jaccard}

Compute p-value using the bootstrap procedure

Description

Compute statistical significance of Jaccard/Tanimoto similarity coefficients.

Usage

jaccard.test.bootstrap(x, y, px = NULL, py = NULL, verbose = TRUE,
  fix = "x", B = 1000, seed = NULL)

Arguments

x

a binary vector (e.g., fingerprint)

y

a binary vector (e.g., fingerprint)

px

probability of successes in x (optional)

py

probability of successes in y (optional)

verbose

whether to print progress messages

fix

whether to fix (i.e., not resample) x and/or y

B

a total bootstrap iteration

seed

a seed for a random number generator

Value

jaccard.test.bootstrap returns a list consisting of

statistics

centered Jaccard/Tanimoto similarity coefficient

pvalue

p-value

expectation

expectation

Examples

set.seed(1234)
x = rbinom(100,1,.5)
y = rbinom(100,1,.5)
jaccard.test.bootstrap(x,y,B=500)