summary: Summary Method for SK Objects

In jcfaria/ScottKnott: The ScottKnott Clustering Algorithm

Description

Returns (and prints) a summary list for SK objects.

Usage

## S3 method for class 'SK'
summary(object,
 ...)

Arguments

object	A given object of the class SK.
...	Potential further arguments (required by generic).

Author(s)

José Cláudio Faria ([e-mail])
Enio Jelihovschi ([e-mail])
Ivan Bezerra Allaman ([e-mail])

References

Chambers, J.M. and Hastie, T.J. (1992) Statistical Models in S. Wadsworth and Brooks/Cole.

See Also

SK

Examples

  ##
  ## Examples: Completely Randomized Design (CRD)
  ## More details: demo(package='SK')
  ##
  
  data(CRD2)
  ## From: formula
  sk1 <- with(CRD2,
              SK(y ~ x,
                 data=dfm,
                 which='x',
                 id.trim=5))
  summary(sk1)

jcfaria/ScottKnott documentation built on Nov. 1, 2020, 8:04 a.m.