stepArchetypesRawData {Anthropometry} R Documentation

## Archetype algorithm to raw data

### Description

This is a slight modification of the original stepArchetypes function of the archetypes R package to apply the archetype algorithm to raw data. The stepArchetypes function standardizes the data by default and this option is not always desired.

### Usage

stepArchetypesRawData(data,numArch,numRep=3,verbose=TRUE)


### Arguments

 data Data to obtain archetypes. numArch Number of archetypes to compute, from 1 to numArch. numRep For each numArch, run archetypes numRep times. verbose If TRUE, the progress during execution is shown.

### Value

A list with numArch elements. Each element is a list of class attribute stepArchetypes with numRep elements.

### Author(s)

Guillermo Vinue based on the the original stepArchetypes function of archetypes.

### References

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.

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.

stepArchetypes

### Examples

#COCKPIT DESIGN PROBLEM:
#As a toy example, only the first 25 individuals are used.
USAFSurvey_First25 <- USAFSurvey[1:25, ]
#Variable selection:
variabl_sel <- c(48, 40, 39, 33, 34, 36)
#Changing to inches:
USAFSurvey_First25_inch <- USAFSurvey_First25[,variabl_sel] / (10 * 2.54)

#Data preprocessing:
USAFSurvey_preproc <- preprocessing(USAFSurvey_First25_inch, TRUE, 0.95, TRUE)

#For reproducing results, seed for randomness:
#suppressWarnings(RNGversion("3.5.0"))
#set.seed(2010)
#Run archetype algorithm repeatedly from 1 to numArch archetypes:
#This is a toy example. In other situation, choose numArch=10 and numRep=20.
numArch <- 5 ; numRep <- 2
lass <- stepArchetypesRawData(data = USAFSurvey_preproc\$data, numArch = 1:numArch,
numRep = numRep, verbose = FALSE)
#To understand the warning messages, see the vignette of the
#archetypes package.


[Package Anthropometry version 1.17 Index]