Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 21 found.
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ssriemdist (Package: shapes) : Riemannian size-and-shape distance

Calculates the Riemannian size-and-shape distance d_S between two configurations
● Data Source: CranContrib
● Keywords: multivariate
● Alias: ssriemdist
● 0 images

estcov (Package: shapes) : Weighted Frechet mean of covariance matrices

Computes the weighted Frechet means of an array of covariance matrices, with different options for the covariance metric. Also carries out principal co-ordinate analysis of the covariance matrices
● Data Source: CranContrib
● Keywords: multivariate
● Alias: estcov
● 0 images

procWGPA (Package: shapes) : Weighted Procrustes analysis

Weighted Procrustes analysis to register landmark configurations into optimal registration using translation, rotation and scaling. Registration without scaling is also an option. Also, obtains principal components, and some summary statistics.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: procWGPA
● 0 images

shapepca (Package: shapes) : Principal components analysis for shape

Provides graphical summaries of principal components for shape.
● Data Source: CranContrib
● Keywords: hplot, multivariate
● Alias: shapepca
● 0 images

frechet (Package: shapes) : Mean shape estimators

Calculation of different types of Frechet mean shapes, or the isotropic offset Gaussian MLE mean shape
● Data Source: CranContrib
● Keywords: multivariate
● Alias: frechet
● 0 images

shapes-internal (Package: shapes) : Internal function(s)

Internal function(s)
● Data Source: CranContrib
● Keywords: internal
● Alias: BoxM, Enorm, Goodall, Goodall2D, Goodalltest, Hessian2, Hotelling, Hotelling2D, Hotelling2Djames, Hotellingtest, I2mat, James, Lambdamin, MDSshape, MGM, TPSgrid, V, Vinv, Vmat, abind, add, as.3d, banner1, banner4, bendingenergy, bgpa, bookstein.shpv, bookstein.shpv.complex, bootstraptest, braincon.dat, brainscz.dat, cbevec, cbevectors, centroid.size.complex, centroid.size.mD, close1, cnt3, complextoreal, defh, defplotsize2, defplotsize3, del, dif, dif.old, dis, distCholesky, distEuclidean, distLogEuclidean, distPowerEuclidean, distProcrustesFull, distProcrustesSizeShape, distRiemPennec, distRiemannianLe, estChol, estCholesky, estEuclid, estLogEuclid, estLogRiem2, estPowerEuclid, estRiemLe, estSS, estShape, estShapes, fJ, fcel, fcnt, fgpa, fgpa.rot, fgpa.singleiteration, fopa, fort, fort.ROTATEANDREFLECT, fort.ROTATION, fos, fos.REFLECT, ftrsq, full.procdist, genpower, graf, iglogl, isodens, isologdens, isomle, isotropy.test, kendall.shpv, linegrid, loglikeiso, loglikeiso2, loneFone, mahpreshapedist, makearray, movie, msh, norm, nsa, objfun, objfun4, objfuniso, oneFone, partial.procdist, partialwarpgrids, partialwarps, permutationtest, permutationtest2, plot2rwscores, plot3Ddata, plot3Ddata.static, plot3Dmean, plot3Dpca, plotPDM, plotPDM2, plotPDM3, plotPDMbook, plotPDMnoaxis, plotPDMnoaxis3, plotpairscores, plotpca, plotpca3d, plotprinwarp, plotproc, plotrelwarp, plotshapes3d, plotshapestime3d, pointsPDMnoaxis3, prcomp1, preshape, preshape.mD, preshape.mat, preshapetoicon, prinwscoregrids, procWGPA1, procdistreflect, procrustes2d, procrustesGPA, procrustesGPA.rot, project, protein, read.array, read.in, realtocomplex, reassqpr, relwarps, rgpa, riemdist.complex, riemdist.mD, rootmat, rotateaxes, rotatexyz, schizo.dat, select, sgpa, sh, shaperw, sigma, sim1, sooty.dat, st, tanfigure, tanfigurefull, tanpreshape, tantofigure, tantofigurefull, tantopreshape, testmeanshapes.old, testshapes, tpsgrid.old, vec1
● 0 images

testmeanshapes (Package: shapes) : Tests for mean shape difference, including permutation and bootstrap tests

Carries out tests to examine differences in mean shape between two independent populations, for $m=2$ or $m=3$ dimensional data. Tests are carried out using tangent co-ordinates.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: testmeanshapes
● 0 images

resampletest (Package: shapes) : Tests for mean shape difference using complex arithmetic, including bootstrap and permutation tests.

Carries out tests to examine differences in mean shape between two independent populations. For 2D data the methods use complex arithmetic and exploit the geometry of the shape space (which is the main use of this function). An alternative faster, approximate procedure using Procrustes residuals is given by the function ‘testmeanshapes’. For 3D data tests are carried out on the Procrustes residuals, which is an approximation suitable for small variations in shape.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: resampletest
● 0 images

procGPA (Package: shapes) : Generalised Procrustes analysis

Generalised Procrustes analysis to register landmark configurations into optimal registration using translation, rotation and scaling. Reflection invariance can also be chosen, and registration without scaling is also an option. Also, obtains principal components, and some summary statistics.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: procGPA
● 0 images

shapes3d (Package: shapes) : Plot 3D data

Plot the landmark configurations from a 3D dataset
● Data Source: CranContrib
● Keywords: multivariate
● Alias: shapes3d
● 0 images