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cluster

print.dissimilarity

Print and Summary Methods for Dissimilarity Objects

Description

Print or summarize the distances and the attributes of a dissimilarity object.

These are methods for the functions print() and summary() for dissimilarity objects. See print, print.default, or summary for the general behavior of these.

Usage

## S3 method for class 'dissimilarity'
print(x, diag = NULL, upper = NULL,
      digits = getOption("digits"), justify = "none", right = TRUE, ...)
## S3 method for class 'dissimilarity'
summary(object,
        digits = max(3, getOption("digits") - 2), ...)
## S3 method for class 'summary.dissimilarity'
print(x, ...)

Arguments

x, object

a dissimilarity object or a summary.dissimilarity one for print.summary.dissimilarity().
digits

the number of digits to use, see print.default.
diag, upper, justify, right

optional arguments specifying how the triangular dissimilarity matrix is printed; see print.dist.
...

potential further arguments (require by generic).

See Also

Examples

## See  example(daisy)

 sd <- summary(daisy(matrix(rnorm(100), 20,5)))
 sd # -> print.summary.dissimilarity(.)
 str(sd)
cluster

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

v2.1.2
GPL (>= 2)
Authors
Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [aut] (Fortran original, <https://orcid.org/0000-0002-3807-5353>), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original, <https://orcid.org/0000-0001-6398-4850>), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000), <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb] (fastpam options for pam(), <https://orcid.org/0000-0001-9143-4880>), Keefe Murphy [ctb] (volume.ellipsoid({d >= 3}))
Initial release
2021-04-16

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