diff --git a/R/consensus.R b/R/consensus.R
index abe8b4d..1ddd120 100644
--- a/R/consensus.R
+++ b/R/consensus.R
@@ -1,30 +1,30 @@
 #' @export
 consensus <- function(object,...) UseMethod("consensus")
 
 #' @export
 consensus.default <- function(object, ...) stop("not implemented for this class")
 
 #' Computes a consensus ranking
 #'
 #' Computes a consensus ranking (rank aggregation) across tasks.
 #'
 #' @param object The ranked asssessment data set.
-#' @param method A string specifying the method to derive the consensus ranking, see [relations::consensus()] for the methods.
+#' @param method A string specifying the method to derive the consensus ranking, see [relations::consensus()] for the methods. Consensus ranking according to mean ranks across tasks if method="euclidean" where in case of ties (equal ranks for multiple algorithms) the average rank is used, i.e. ties.method="average" .
 #' @param ... Further arguments passed to or from other functions.
 #'
 #' @return
 #'
 #' @examples
 #' @export
 consensus.ranked.list=function(object,
                                method,
                                ...){
   relensemble= relation_ensemble(list = as.relation(object))
   cons=relation_consensus(relensemble,
                           method = method,...) # consensus ranking according to mean ranks across tasks if method="euclidean".
   # See ?relation_consensus for different methods to derive consensus ranking
   res=sort(relation_scores(cons,
                            decreasing=FALSE)) # note that there may be ties (i.e. some algorithms have identical mean rank)
   attr(res,"method")=method
   res
   }