Anthropometry-internalArchetypoids: Several internal functions to compute and represent...
In Anthropometry: Statistical Methods for Anthropometric Data
Anthropometry-internalArchetypoids R Documentation
Several internal functions to compute and represent archetypes and archetypoids
Description
This file contains six extra functions. The ahull function is a helper function to calculate the approximated convex hull. The no.scalefn and no.rescalefn functions allow us to use the archetype algorithm without standardizing the data (see stepArchetypesRawData). The other three functions are called by the archetypoid algorithm (archetypoids). All these functions are therefore not solely used.
References
Vinue, G., Epifanio, I., and Alemany, S., (2015). Archetypoids: a new approach to define representative archetypal data, Computational Statistics and Data Analysis 87, 102–115.
Epifanio, I., Vinue,, G., and Alemany, S., (2013). Archetypal analysis: contributions for estimating boundary cases in multivariate accommodation problem, Computers & Industrial Engineering 64, 757–765.
Eugster, M. J., and Leisch, F., (2009). From Spider-Man to Hero - Archetypal Analysis in R, Journal of Statistical Software 30, 1–23, doi: 10.18637/jss.v030.i08.
See Also
stepArchetypesRawData, archetypoids
Anthropometry documentation built on March 7, 2023, 6:58 p.m.
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| Anthropometry-internalArchetypoids | R Documentation |
Several internal functions to compute and represent archetypes and archetypoids
Description
This file contains six extra functions. The ahull function is a helper function to calculate the approximated convex hull. The no.scalefn and no.rescalefn functions allow us to use the archetype algorithm without standardizing the data (see stepArchetypesRawData). The other three functions are called by the archetypoid algorithm (archetypoids). All these functions are therefore not solely used.
References
Vinue, G., Epifanio, I., and Alemany, S., (2015). Archetypoids: a new approach to define representative archetypal data, Computational Statistics and Data Analysis 87, 102–115.
Epifanio, I., Vinue,, G., and Alemany, S., (2013). Archetypal analysis: contributions for estimating boundary cases in multivariate accommodation problem, Computers & Industrial Engineering 64, 757–765.
Eugster, M. J., and Leisch, F., (2009). From Spider-Man to Hero - Archetypal Analysis in R, Journal of Statistical Software 30, 1–23, doi: 10.18637/jss.v030.i08.
See Also
stepArchetypesRawData, archetypoids
R Package Documentation
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