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