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Anthropometry  

Statistical Methods for Anthropometric Data
View on CRAN: Click here


Download and install Anthropometry package within the R console
Install from CRAN:
install.packages("Anthropometry")

Install from Github:
library("remotes")
install_github("cran/Anthropometry")

Install by package version:
library("remotes")
install_version("Anthropometry", "1.19")



Attach the package and use:
library("Anthropometry")
Maintained by
Guillermo Vinue
[Scholar Profile | Author Map]
First Published: 2014-03-07
Latest Update: 2023-02-22
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) .
How to cite:
Guillermo Vinue (2014). Anthropometry: Statistical Methods for Anthropometric Data. R package version 1.19, https://cran.r-project.org/web/packages/Anthropometry. Accessed 02 May. 2025.
Previous versions and publish date:
1.0 (2014-03-07 09:41), 1.1 (2014-10-13 21:57), 1.2 (2015-05-14 11:38), 1.3 (2015-08-26 22:56), 1.5 (2015-08-28 00:33), 1.6 (2015-11-30 15:53), 1.7 (2015-12-12 09:41), 1.8 (2017-04-26 21:53), 1.9 (2017-08-29 11:45), 1.10 (2018-04-06 10:04), 1.11 (2019-03-07 14:12), 1.12 (2019-04-29 11:20), 1.13 (2019-12-06 18:10), 1.14 (2020-04-06 09:00), 1.15 (2021-04-20 00:10), 1.16 (2021-10-11 10:50), 1.17 (2021-12-09 16:40), 1.18 (2023-01-13 19:20)
Other packages that cited Anthropometry R package
View Anthropometry citation profile
Other R packages that Anthropometry depends, imports, suggests or enhances
Complete documentation for Anthropometry
Functions, R codes and Examples using the Anthropometry R package
Some associated functions: Anthropometry-internalArchetypoids . Anthropometry-internalHipamAnthropom . Anthropometry-internalPlotTree . Anthropometry-internalTDDclust . Anthropometry-package . CCbiclustAnthropo . HartiganShapes . LloydShapes . TDDclust . USAFSurvey . anthrCases . archetypesBoundary . archetypoids . array3Dlandm . bustSizesStandard . cdfDissWomenPrototypes . checkBranchLocalIMO . checkBranchLocalMO . computSizesHipamAnthropom . computSizesTrimowa . cube34landm . cube8landm . descrDissTrunks . figures8landm . getBestPamsamIMO . getBestPamsamMO . getDistMatrix . hipamAnthropom . landmarksSampleSpaSurv . nearestToArchetypes . optraShapes . overlapBiclustersByRows . parallelep34landm . parallelep8landm . percentilsArchetypoid . plotPrototypes . plotTreeHipamAnthropom . plotTrimmOutl . preprocessing . projShapes . qtranShapes . sampleSpanishSurvey . screeArchetypal . shapes3dShapes . skeletonsArchetypal . stepArchetypesRawData . stepArchetypoids . trimmOutl . trimmedLloydShapes . trimmedoid . trimowa . weightsMixtureUB . xyplotPCArchetypes . 
Some associated R codes: Anthropometry-internalArchetypoids.R . Anthropometry-internalHipamAnthropom.R . Anthropometry-internalPlotTree.R . Anthropometry-internalTDDclust.R . CCbiclustAnthropo.R . HartiganShapes.R . LloydShapes.R . TDDclust.R . anthrCases.R . archetypesBoundary.R . archetypoids.R . array3Dlandm.R . bustSizesStandard.R . cdfDissWomenPrototypes.R . checkBranchLocalIMO.R . checkBranchLocalMO.R . computSizesHipamAnthropom.R . computSizesTrimowa.R . figures8landm.R . getBestPamsamIMO.R . getBestPamsamMO.R . getDistMatrix.R . hipamAnthropom.R . nearestToArchetypes.R . optraShapes.R . overlapBiclustersByRows.R . percentilsArchetypoid.R . plotPrototypes.R . plotTreeHipamAnthropom.R . plotTrimmOutl.R . preprocessing.R . projShapes.R . qtranShapes.R . screeArchetypal.R . shapes3dShapes.R . skeletonsArchetypal.R . stepArchetypesRawData.R . stepArchetypoids.R . trimmOutl.R . trimmedLloydShapes.R . trimmedoid.R . trimowa.R . weightsMixtureUB.R . xyplotPCArchetypes.R .  Full Anthropometry package functions and examples
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