percentilsArchetypoid {Anthropometry} R Documentation

## Helper function for computing percentiles of a certain archetypoid

### Description

This helper function computes the percentiles of an archetypoid for a given variable. Once these percentile values have been calculated, they can be represented by means of a barplot.

### Usage

percentilsArchetypoid(column,indiv,data,digits)


### Arguments

 column Numeric variable (column of a data frame). indiv A certain archetypoid. data Data frame that contains the columns and archetypoids to be analyzed. digits Argument of the round function (it is a integer indicating the number of decimal places to be used).

### Value

Numerical vector with the percentile values of an archetypoid.

Guillermo Vinue

### 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.

archetypoids

### 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$data, numArch = 1:numArch, numRep = numRep, verbose = FALSE) #To understand the warning messages, see the vignette of the #archetypes package. #screeplot(lass) #Three archetypoids: numArchoid <- 3 res_ns <- archetypoids(numArchoid, USAFSurvey_preproc$data, huge = 200, step = FALSE,
ArchObj = lass, nearest = "cand_ns" , sequ = TRUE)

percentilsArchetypoid(1, res_ns$archet[1], USAFSurvey_preproc$data, 0)


[Package Anthropometry version 1.17 Index]