Examples for 'cluster::print.dissimilarity'


Print and Summary Methods for Dissimilarity Objects

Aliases: print.dissimilarity summary.dissimilarity print.summary.dissimilarity

Keywords: cluster print

### ** Examples

 ## See  example(daisy)

 sd <- summary(daisy(matrix(rnorm(100), 20,5)))
 sd # -> print.summary.dissimilarity(.)
190 dissimilarities, summarized :
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 0.7941  2.4981  3.2194  3.1761  3.9188  5.2038 
Metric :  euclidean 
Number of objects : 20
 str(sd)
List of 4
 $ summ  : 'summaryDefault' Named num [1:6] 0.794 2.498 3.219 3.176 3.919 ...
  ..- attr(*, "names")= chr [1:6] "Min." "1st Qu." "Median" "Mean" ...
 $ n     : int 190
 $ Size  : int 20
 $ Metric: chr "euclidean"
 - attr(*, "class")= chr "summary.dissimilarity"

[Package cluster version 2.1.4 Index]