Heterogeneous Methods for Shape and Other Multidimensional Data
Rescale landmark data based on interlandmark distances
'Reverse' PCA
Partial least squares (PLS) analysis
Print method for disparity_resample objects
Print method for EscoufierRVrarefy objects
Print method for parallel_Kmult objects
Project to subspace orthogonal to a vector
Plot method for EscoufierRVrarefy objects
Perform test on two repeated measures
Test the significance of the adjusted Rand index
BTailTest for difference in disparity/morphospace occupation
Compute the critical angle for the test of the angle between two multi...
Resampling-based estimates (bootstrap or rarefaction) of disparity / m...
Permutation test of difference in disparity/morphospace occupation
Plot method for parallel_Kmult objects
Bootstrapped distance between two arrays
Escoufier RV coefficient
Defunct functions in GeometricMorphometricsMix
Parallel implementation of Adams' Kmult with additional support for mu...
Check the relative positions for a set of landmarks, compared to a ref...
Perform parallel analysis
Plot method for disparity_resample objects
Major axis predictions for partial least squares (PLS) analysis
User-defined rotation of a landmark configuration
Compare Escoufier RV coefficient between groups
Rarefied version of Escoufier RV coefficient
Compute scaled variance of eigenvalues
Summary method for parallel_Kmult objects
Perform a test of the angle between two multivariate vectors
Tools for geometric morphometric analyses and multidimensional data. Implements methods for morphological disparity analysis using bootstrap and rarefaction, as reviewed in Foote (1997) <doi:10.1146/annurev.ecolsys.28.1.129>. Includes integration and modularity testing, following Fruciano et al. (2013) <doi:10.1371/journal.pone.0069376>, using Escoufier's RV coefficient as test statistic as well as two-block partial least squares - PLS, Rohlf and Corti (2000) <doi:10.1080/106351500750049806>. Also includes vector angle comparisons, orthogonal projection for data correction (Burnaby (1966) <doi:10.2307/2528217>; Fruciano (2016) <doi:10.1007/s00427-016-0537-4>), and parallel analysis for dimensionality reduction (Buja and Eyuboglu (1992) <doi:10.1207/s15327906mbr2704_2>).