Routines for the statistical analysis of landmark
shapes, including Procrustes analysis, graphical displays, principal
components analysis, permutation and bootstrap tests, thin-plate
spline transformation grids and comparing covariance matrices.
See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis,
with Applications in R (2nd Edition), John Wiley and Sons.

Statistical Shape Analysis

package-ubuntu-20.04-r-4.0.5#cran#shapes-1.2.6

<p>Part of a 3D DNA molecule moving in time, k = 22 atoms, 30 time points</p>

<p>An array of dimension 22 x 3 x 30
</p>

package-ubuntu-20.04-r-4.0.5#cran#shapes-1.2.6#docs#dna.dat

dna.dat

Description

Usage

Format

Examples

shapes

We don't support your browser anymore