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Anthropometry (version 1.17)

Statistical Methods for Anthropometric Data

Description

Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis. Please see Vinue (2017) .

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Version

Install

install.packages('Anthropometry')

Monthly Downloads

660

Version

1.17

License

GPL (>= 2)

Homepage

https://www.R-project.org

Maintainer

Guillermo Vinue

Last Published

December 9th, 2021

Functions in Anthropometry (1.17)

Hartigan-Wong k-means for 3D shapes

Anthropometry-internalArchetypoids

Several internal functions to compute and represent archetypes and archetypoids

Anthropometry-internalPlotTree

Several internal functions used to build the HIPAM plot tree

Trimmed clustering based on L1 data depth

Anthropometry-internalTDDclust

Several internal functions to clustering based on the L1 data depth

Lloyd k-means for 3D shapes

CCbiclustAnthropo

Cheng and Church biclustering algorithm applied to anthropometric data

Anthropometry-package

Statistical Methods for Anthropometric Data

Anthropometry-internalHipamAnthropom

Several internal functions used by both $HIPAM_MO$ and $HIPAM_IMO$ algorithms

USAF 1967 survey

checkBranchLocalIMO

Evaluation of the candidate clustering partition in $HIPAM_IMO$

Helper function for the 3D landmarks

Finding archetypoids

Helper generic function for obtaining the anthropometric cases

archetypesBoundary

Archetypal analysis in multivariate accommodation problem

cdfDissWomenPrototypes

CDF for the dissimilarities between women and computed medoids and standard prototypes

bustSizesStandard

Helper function for defining the bust sizes

Cube of 34 landmarks

descrDissTrunks

Description of the dissimilarities between women's trunks

Figures of 8 landmarks with labelled landmarks

Cube of 8 landmarks

checkBranchLocalMO

Evaluation of the candidate clustering partition in $HIPAM_MO$

computSizesHipamAnthropom

Computation of the hipamAnthropom elements for a given number of sizes defined by the EN

landmarksSampleSpaSurv

Landmarks of the sampled women of the Spanish Survey

nearestToArchetypes

Nearest individuals to archetypes

computSizesTrimowa

Computation of the trimowa elements for a given number of sizes defined by the EN

getBestPamsamMO

Generation of the candidate clustering partition in $HIPAM_MO$

Dissimilarity matrix between individuals and prototypes

getBestPamsamIMO

Generation of the candidate clustering partition in $HIPAM_IMO$

overlapBiclustersByRows

Overlapped biclusters by rows

Auxiliary optra subroutine of the Hartigan-Wong k-means for 3D shapes

plotTreeHipamAnthropom

HIPAM dendogram

Prototypes representation

percentilsArchetypoid

Helper function for computing percentiles of a certain archetypoid

Data preprocessing before computing archetypal observations

Helper function for plotting the shapes

parallelep8landm

Parallelepiped of 8 landmarks

parallelep34landm

Parallelepiped of 34 landmarks

HIPAM algorithm for anthropometric data

Helper generic function for obtaining the trimmed and outlier observations

Auxiliary qtran subroutine of the Hartigan-Wong k-means for 3D shapes

stepArchetypoids

Run the archetypoid algorithm several times

sampleSpanishSurvey

Sample database of the Spanish anthropometric survey

trimmedLloydShapes

Trimmed Lloyd k-means for 3D shapes

Trimmed k-medoids algorithm

Trimmed or outlier observations representation

xyplotPCArchetypes

PC scores for archetypes

weightsMixtureUB

Calculation of the weights for the OWA operators

stepArchetypesRawData

Archetype algorithm to raw data

skeletonsArchetypal

Skeleton plot of archetypal individuals

Trimmed PAM with OWA operators

screeArchetypal

Screeplot of archetypal individuals