rand {blockmodeling} | R Documentation |
Rand Index and Rand Index corrected/adjusted for chance for comparing partitions (Hubert & Arabie, 1985). The functions also support computing these indices on partitions on multiple sets (where a "combined" partition is a list of multiple partitions). The names of the clusters do not matter.
rand(clu1, clu2, tab) crand( clu1, clu2, tab, multiSets = c("weights", "unlist"), weights = c("size", "equal"), returnIndividual = "attr" ) rand2(clu1, clu2) crand2(clu1, clu2)
clu1 |
The first of the two partitions to be compared, given in the form of vectors, where for each unit a cluster membership is given. Alternatively, this can be a contingency table obtained as a |
clu2 |
If |
tab |
A contingency table obtained as a |
multiSets |
How should we compute the index in case of multiple sets of unis (if |
weights |
Weights to be used if |
returnIndividual |
If |
The value of Rand Index (corrected/adjusted for chance) unless multiSets="weight"
and returnIndividual=FALSE
. In this case, a list with two items is return. The "global" index is in global
, while the the indices by sets are in bySets
.
Aleš Žiberna
Hubert, L., & Arabie, P. (1985). Comparing Partitions. Journal of Classification, 2(1), 193-218.