stepArchetypesRawData {Anthropometry} | R Documentation |
Archetype algorithm to raw data
Description
This is a slight modification of the original stepArchetypes 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 |
numRep |
For each |
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.
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.
See Also
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.