wrMisc (version 1.15.3.1)

randIndFx: Distance of categorical data (Jaccard, Rand and adjusted Rand index)

Description

randIndFx calculates distance of categorical data (as Rand Index, Adjusted Rand Index or Jaccard Index). Note: uses/requires package flexclust Methods so far available (via flexclust): "ARI" .. adjusted Rand Index, "RI" .. Rand index, "J" .. Jaccard, "FM" .. Fowlkes-Mallows.

Usage

randIndFx(
  ma,
  method = "ARI",
  adjSense = TRUE,
  silent = FALSE,
  debug = FALSE,
  callFrom = NULL
)

Value

This function returns a distance matrix

Arguments

ma

(matrix) main input for distance calulation

method

(character) name of distance method (eg "ARI","RI","J","FM")

adjSense

(logical) allows introducing correlation/anticorrelation (interprete neg distance results as anti)

silent

(logical) suppress messages

debug

(logical) additional messages for debugging

callFrom

(character) allow easier tracking of messages produced

See Also

comPart in randIndex

Examples

set.seed(2016); tab2 <- matrix(sample(1:2, size=42, replace=TRUE), ncol=7)
if(requireNamespace("flexclust")) { flexclust::comPart(tab2[1,], tab2[2,])
  flexclust::comPart(tab2[1,], tab2[3,])
  flexclust::comPart(tab2[1,], tab2[4,]) }
## via randIndFx():
  randIndFx(tab2, adjSense=FALSE)
  cor(t(tab2))
  randIndFx(tab2, adjSense=TRUE)