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#' Relabel clusters.
#'
#' \code{relabelclusters} relabels the clusters so that they all have the same
#' meaning in the all the data sets.
#' @param refcluster internally provided by \code{assignprobandkappas} function.
#' @param cluster internally provided by \code{assignprobandkappas} function.
#' @return internal value to be used by \code{assignprobandkappas} function.
#' @keywords internal
relabelclusters <- function(refcluster, cluster) {
res <- NULL
k <- length(table(refcluster))
n <- length(refcluster)
permut <- combinat::permn(1:k)
npermut <- length(permut)
kappas <- rep(NA, npermut)
auxcluster <- list()
kappas <- lapply(permut,
FUN = function(x) {
auxcluster <- rep(NA, n)
for (j in 1:k)
auxcluster[cluster == j] <- x[j]
irr::kappa2(ratings = cbind(refcluster, auxcluster),
weight = "equal")$value
}
)
kappas <- unlist(kappas)
id <- which(kappas == max(kappas))
if (length(id) > 1)
id <- sample(id, 1)
kappa <- kappas[id]
id <- permut[[id]]
newcluster <- rep(NA, n)
for (j in 1:k)
newcluster[cluster == j] <- id[j]
res$newcluster <- newcluster
res$kappa <- kappa
return(res)
}
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