clustering: Adapt defaults to publication

R/method_clustering.R

@@ -16,7 +16,7 @@
 #' @return A score between 0.0 and 1.0 summarizing how much the data clusters.
 #'
 #' @export
-clusteriness <- function(data, span = 500000, weight = 0.5) {
+clusteriness <- function(data, span = 1000000, weight = 0.5) {
   n <- length(data)
 
   # Return a score of 0.0 if there is just one or no value at all.
@@ -67,7 +67,7 @@ clusteriness <- function(data, span = 500000, weight = 0.5) {
 clustering <- function(id = "clustering",
                        name = "Clustering",
                        description = "Clustering of genes",
-                       span = 500000,
+                       span = 1000000,
                        weight = 0.5) {
   method(
     id = id,

man/clusteriness.Rd

@@ -4,7 +4,7 @@
 \alias{clusteriness}
 \title{Perform a cluster analysis.}
 \usage{
-clusteriness(data, span = 5e+05, weight = 0.5)
+clusteriness(data, span = 1e+06, weight = 0.5)
 }
 \arguments{
 \item{data}{The values that should be scored.}

man/clustering.Rd

@@ -8,7 +8,7 @@ clustering(
   id = "clustering",
   name = "Clustering",
   description = "Clustering of genes",
-  span = 5e+05,
+  span = 1e+06,
   weight = 0.5
 )
 }