Identification of Typal Samples in a Partition
Identifies samples that typify clusters in a partition based on dissimilarity.
typal(clustering,dist,k=1)
typal calculates two versions of typal species based on silhouette analysis
(see silhouette) and partana analysis
(see partana). With respect to silhouette analysis, the
function returns k species with the largest positive silhouette width for each
cluster. With respect to the partana analysis the function returns the k species
with the highest mean similarity to the cluster.
Returns a list with two data.frames. The first, partana, gives the clusters as rows and typal samples as columns from the perspective of the partana ratio. The second, silhouette, also gives the clusters as rows and typal samples as columns but from the perspective of silhouette widths.
David W. Roberts droberts@montana.edu
data(shoshveg) dis.bc <- dsvdis(shoshveg,'bray') opt.5 <- bestopt(dis.bc,5,20) typal(opt.5,dis.bc,3)
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