GPA: Generalised Procrustes Analysis of configurations

Description Usage Arguments Value See Also

View source: R/toolbox.R

Description

Given a number of (2D) configurations, this function uses a combination of transformations (reflections, rotations, translations and scaling) to find a 'consensus' configuration which best matches all the component configurations in a least-squares sense.

Usage

1
GPA(X, scale = TRUE)

Arguments

X

a list of dissimilarity matrices

scale

boolean flag indicating if the transformation should include the scaling operation

Value

a two column vector with the coordinates of the group configuration

See Also

procrustes



provenance documentation built on May 19, 2017, 6:11 p.m.
Search within the provenance package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.