kmeans1: kmeans for 1D data with ordered clusters
In rushkin/bitsandends: Various convenience functions

Description Usage Arguments Value Examples

Uses kmeans and then renames the clusters so that they are arranged in the increasing order of means

1	kmeans1(x, centers, ...)

`x`	vector of 1D data
`centers`	number of clusters
`...`	other arguments passed to `kmeans`

a list returned by kmeans with clusters arranged in the order of their means in the following list elements: cluster, withinss, size, centers. Additional elements are also addded to the list: frac is the cluster size as a fraction of the total, cluster_sd is the standard deviations of clusters and centers_se is the standard error of the cluster centers.