Package: Anthropometry 1.19

Guillermo Vinue

Anthropometry: Statistical Methods for Anthropometric Data

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) <doi:10.18637/jss.v077.i06>.

Authors:Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala

Anthropometry_1.19.tar.gz
Anthropometry_1.19.tar.gz(r-4.5-noble)Anthropometry_1.19.tar.gz(r-4.4-noble)
Anthropometry_1.19.tgz(r-4.4-emscripten)Anthropometry_1.19.tgz(r-4.3-emscripten)
Anthropometry.pdf |Anthropometry.html✨
Anthropometry/json (API)
NEWS

# Install 'Anthropometry' in R:

install.packages('Anthropometry', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

USAFSurvey - USAF 1967 survey
cube34landm - Cube of 34 landmarks
cube8landm - Cube of 8 landmarks
descrDissTrunks - Description of the dissimilarities between women's trunks
landmarksSampleSpaSurv - Landmarks of the sampled women of the Spanish Survey
parallelep34landm - Parallelepiped of 34 landmarks
parallelep8landm - Parallelepiped of 8 landmarks
sampleSpanishSurvey - Sample database of the Spanish anthropometric survey

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.78 score 1 stars 2 packages 617 downloads 40 exports 85 dependencies

Last updated 2 years agofrom:d7cdec4461. Checks:1 OK, 2 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 30 2025
R-4.5-linux-x86_64	NOTE	Mar 30 2025
R-4.4-linux-x86_64	NOTE	Mar 30 2025

Exports:anthrCases archetypesBoundary archetypoids array3Dlandm bustSizesStandard CCbiclustAnthropo cdfDissWomenPrototypes checkBranchLocalIMO checkBranchLocalMO computSizesHipamAnthropom computSizesTrimowa figures8landm getBestPamsamIMO getBestPamsamMO getDistMatrix HartiganShapes hipamAnthropom LloydShapes nearestToArchetypes optraShapes overlapBiclustersByRows percentilsArchetypoid plotPrototypes plotTreeHipamAnthropom plotTrimmOutl preprocessing projShapes qtranShapes screeArchetypal shapes3dShapes skeletonsArchetypal stepArchetypesRawData stepArchetypoids TDDclust trimmedLloydShapes trimmedoid trimmOutl trimowa weightsMixtureUB xyplotPCArchetypes

Dependencies:abind additivityTests archetypes base64enc BH biclust bslib cachem class cli cluster colorspace cpp11 ddalpha DEoptimR digest dplyr evaluate fansi farver fastcluster fastmap flexclust FNN fontawesome fs generics geometry ggplot2 glue gtable highr htmltools htmlwidgets ICGE isoband jquerylib jsonlite knitr labeling lattice lifecycle linprog lpSolve magic magrittr MASS Matrix memoise mgcv mime minpack.lm modeltools munsell nlme nnls pillar pkgconfig purrr R6 rappdirs RColorBrewer Rcpp RcppProgress rgl rlang rmarkdown robustbase sass scales scatterplot3d sfsmisc shapes stringi stringr tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

Developing statistical methodologies for Anthropometry

Rendered fromAnthropometry.Rnwusingknitr::knitron Mar 30 2025.

Last update: 2019-04-29
Started: 2014-03-07

Citation

To cite Anthropometry in publications use:

Guillermo Vinue (2017). Anthropometry: An R Package for Analysis of Anthropometric Data. Journal of Statistical Software, 77(6), 1-39.<doi:10.18637/jss.v077.i06>

Corresponding BibTeX entry:

  @Article{,
    title = {{Anthropometry}: An {R} Package for Analysis of
      Anthropometric Data},
    author = {Guillermo Vinu\'e},
    journal = {Journal of Statistical Software},
    year = {2017},
    volume = {77},
    number = {6},
    pages = {1--39},
    doi = {10.18637/jss.v077.i06},
  }

Readme and manuals

Help Manual

Help page	Topics
Statistical Methods for Anthropometric Data	Anthropometry-package
Helper generic function for obtaining the anthropometric cases	anthrCases anthrCases.default anthrCases.hipamAnthropom anthrCases.trimowa
Archetypal analysis in multivariate accommodation problem	archetypesBoundary
Finding archetypoids	archetypoids
Helper function for the 3D landmarks	array3Dlandm
Helper function for defining the bust sizes	bustSizesStandard
Cheng and Church biclustering algorithm applied to anthropometric data	CCbiclustAnthropo
CDF for the dissimilarities between women and computed medoids and standard prototypes	cdfDissWomenPrototypes
Evaluation of the candidate clustering partition in $HIPAM_IMO$	checkBranchLocalIMO
Evaluation of the candidate clustering partition in $HIPAM_MO$	checkBranchLocalMO
Computation of the hipamAnthropom elements for a given number of sizes defined by the EN	computSizesHipamAnthropom
Computation of the trimowa elements for a given number of sizes defined by the EN	computSizesTrimowa
Cube of 34 landmarks	cube34landm
Cube of 8 landmarks	cube8landm
Description of the dissimilarities between women's trunks	descrDissTrunks
Figures of 8 landmarks with labelled landmarks	figures8landm
Generation of the candidate clustering partition in $HIPAM_IMO$	getBestPamsamIMO
Generation of the candidate clustering partition in $HIPAM_MO$	getBestPamsamMO
Dissimilarity matrix between individuals and prototypes	getDistMatrix
Hartigan-Wong k-means for 3D shapes	HartiganShapes
HIPAM algorithm for anthropometric data	hipamAnthropom
Landmarks of the sampled women of the Spanish Survey	landmarksSampleSpaSurv
Lloyd k-means for 3D shapes	LloydShapes
Nearest individuals to archetypes	nearestToArchetypes
Auxiliary optra subroutine of the Hartigan-Wong k-means for 3D shapes	optraShapes
Overlapped biclusters by rows	overlapBiclustersByRows
Parallelepiped of 34 landmarks	parallelep34landm
Parallelepiped of 8 landmarks	parallelep8landm
Helper function for computing percentiles of a certain archetypoid	percentilsArchetypoid
Prototypes representation	plotPrototypes
HIPAM dendogram	plotTreeHipamAnthropom
Trimmed or outlier observations representation	plotTrimmOutl
Data preprocessing before computing archetypal observations	preprocessing
Helper function for plotting the shapes	projShapes
Auxiliary qtran subroutine of the Hartigan-Wong k-means for 3D shapes	qtranShapes
Sample database of the Spanish anthropometric survey	sampleSpanishSurvey
Screeplot of archetypal individuals	screeArchetypal
3D shapes plot	shapes3dShapes
Skeleton plot of archetypal individuals	skeletonsArchetypal
Archetype algorithm to raw data	stepArchetypesRawData
Run the archetypoid algorithm several times	stepArchetypoids
Trimmed clustering based on L1 data depth	TDDclust
Trimmed Lloyd k-means for 3D shapes	trimmedLloydShapes
Trimmed k-medoids algorithm	trimmedoid
Helper generic function for obtaining the trimmed and outlier observations	trimmOutl trimmOutl.default trimmOutl.hipamAnthropom trimmOutl.trimowa
Trimmed PAM with OWA operators	trimowa
USAF 1967 survey	USAFSurvey
Calculation of the weights for the OWA operators	weightsMixtureUB
PC scores for archetypes	xyplotPCArchetypes