randIndFx | R Documentation |
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.
randIndFx(
ma,
method = "ARI",
adjSense = TRUE,
silent = FALSE,
debug = FALSE,
callFrom = NULL
)
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 |
This function returns a distance matrix
comPart
in randIndex
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.