archetypes: Perform archetypal analysis on a data matrix.

In archetypes: Archetypal Analysis

Description

Perform archetypal analysis on a data matrix.

Usage

archetypes(data, k, weights = NULL, maxIterations = 100,
  minImprovement = sqrt(.Machine$double.eps), maxKappa = 1000,
  verbose = FALSE, saveHistory = TRUE,
  family = archetypesFamily("original"), ...)

Arguments

data	A numeric n \times m data matrix.
k	The number of archetypes.
weights	Data weights matrix or vector (used as elements of the diagonal weights matrix).
maxIterations	The maximum number of iterations.
minImprovement	The minimal value of improvement between two iterations.
maxKappa	The limit of kappa to report an ill-ness warning.
verbose	Print some details during execution.
saveHistory	Save each execution step in an environment for further analyses.
family	Blocks defining the underlying problem solving mechanisms; see archetypesFamily.
...	Additional arguments for family blocks.

Value

An object of class archetypes, see as.archetypes.

References

Cutler and Breiman. Archetypal Analysis. Technometrics, 36(4), 1994. 338-348.

See Also

Other archetypes: archetypesFamily; as.archetypes; robustArchetypes; weightedArchetypes

Examples

data(toy)
  a <- archetypes(toy, 3)

Example output

Loading required package: modeltools
Loading required package: stats4
Loading required package: nnls

archetypes documentation built on May 2, 2019, 4:51 p.m.