ARI: Adjusted Rand index

In cata: Analysis of Check-All-that-Apply (CATA) Data

Adjusted Rand index

Description

Calculate the adjusted Rand index (ARI) between two sets of cluster memberships.

Usage

ARI(x, y, signif = FALSE, n = 1000)

Arguments

x	vector of cluster memberships (integers)
y	vector of cluster memberships (integers)
signif	conduct significance test; default is FALSE
n	number of replicates in Monte Carlo significance test

Value

list of the following:

• ari adjusted Rand index

• nari normalized adjusted Rand index

• sim.mean average value of null distribution (should be closed to zero)

• sim.var variance of null distribution

• p.value P value of observed ARI (or NARI) value

Author(s)

J.C. Castura

References

Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2, 193–218. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/BF01908075")}.

Qannari, E.M., Courcoux, P., & Faye, P. (2014). Significance test of the adjusted Rand index. Application to the free sorting task. Food Quality and Preference, 32, 93-97. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.foodqual.2013.05.005")}.

Examples

x <- sample(1:3, 20, replace = TRUE)
y <- sample(1:3, 20, replace = TRUE)

ARI(x, y, signif = FALSE)

cata documentation built on April 4, 2025, 5:17 a.m.