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Anthropometry (version 1.1)

skeletonsArchet: Skeleton plots of archetypal individuals

Description

This function represents the skeleton plots of the archetypal observations (archetypes and archetypoids) of dataUSAF.

Usage

skeletonsArchet(vect,main)

Arguments

vect
Vector with the measurements of each archetype.
main
The title of the plot.

Value

  • A device with the desired plot.

References

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.

See Also

archetypesBoundary, dataUSAF

Examples

Run this code
#List with the measurements of each archetype (Table 7 of Epifanio et al (2013)):
lista_arch <- list()
lista_arch[[1]] <- c(34.18, 25.85, 18.65, 39.66, 35.05, 26.73)
lista_arch[[2]] <- c(28.51, 21.23, 15.39, 33.57, 29.24, 21.26)
lista_arch[[3]] <- c(35.34, 24.94, 18.79, 36.7, 32.28, 23.41)
lista_arch[[4]] <- c(31.34, 22.27, 16.89, 38, 33.08, 25.8)
lista_arch[[5]] <- c(32.33, 25.09, 17.84, 34.46, 29.58, 22.82)
lista_arch[[6]] <- c(29.69, 24.18, 18.22, 38.07, 33.04, 24.56)
lista_arch[[7]] <- c(29.24, 22.97, 14.99, 36.88, 32.28, 24.22)

for(i in 1:length(lista_arch)){
 main <- paste("Archetype", i, sep = " ")
 skeletonsArchet(lista_arch[[i]],main)
}

#AN EXAMPLE FOR THE ARCHETYPOIDS:
#COCKPIT DESIGN PROBLEM:
m <- dataUSAF
#Variable selection:
sel <- c(48,40,39,33,34,36)
#Changing to inches: 
mpulg <- m[,sel] / (10 * 2.54)

#Data preprocessing:
preproc <- accommodation(mpulg,TRUE,0.95,TRUE)

#For reproducing results, seed for randomness:
set.seed(2010) 
#Run archetypes algorithm repeatedly from 1 to numArch archetypes:
numArch <- 10
nrep <- 20
lass <- stepArchetypesMod(data=preproc$data,k=1:10,verbose=FALSE,nrep=20)  

i <- 3 #number of archetypoids.
res <- archetypoids(i,preproc$data,huge=200,step=FALSE,ArchObj=lass,nearest=TRUE,sequ=TRUE)

#Looking for the individuals in the non standardized database: 
aux <- mpulg[setdiff(1:dim(mpulg)[1],preproc$indivNo),]
rownames(aux) <- 1:dim(preproc$data)[1]

skeletonsArchet(aux[res[[1]][1],],"Archetypoid 1")

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